A Comprehensive Guide to Technology Trends｜Innovative Technologies Shaping the Future beyond 2025

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With the accelerating pace of technological innovation in today's society, understanding the latest technology trends is important not only for business leaders and technologists, but also for the general public. This guide details the innovative technology trends that will shape the future beyond 2025 and explores their impact and potential.

Table of Contents

1. evolution of space technology｜challenges to new frontiers

Space exploration is entering a new era in which the private sector is taking the lead from state-sponsored projects. This change is accelerating the innovation and commercialization of space technology and is having a direct impact on our lives.

Realization of commercial space travel

Space, once a distant dream, is now opening its doors to the general public. Now, however, the door is opening to the general public as private companies such as SpaceX and Blue Origin are making space travel a reality and ushering in a new tourism industry. Improved safety and the development of reusable rockets have greatly reduced costs. In the near future, a stay in a space hotel is not just a dream. The day is not far off when space travel will broaden our horizons and raise our awareness of the global environment.

Current Status and Major Players

SpaceX, ,Blue Origin, ,Virgin Galacticand other private companies for the general public.Space Travel ServiceIn 2021, Blue Origin and Virgin Galactic successfully completed their first commercial spaceflights, marking the beginning of a new tourism industry.

Technical Challenges and Progress

Reusable rocket: Reusable launch vehicle technology, exemplified by SpaceX's Falcon 9, has significantly reduced launch costs.
Improved safety: Improved spacecraft design and the development of emergency escape systems have improved the safety of civilian space travel.
life-support system: Advanced life-support systems are being developed to enable long-term stays.

economic impact

dealingindustrial space travel marketby 2030.year (period of)3 billiondollarIt is predicted to grow in size. As a result, new business opportunities are emerging, such as space hotels and in-orbit entertainment.

social impact

Education and Science: Increased public access to space is expected to increase interest in space science and promote STEM education.
environmental consciousness: The "overview effect" of viewing the earth from space may increase awareness of environmental protection.
International Cooperation: Commercial space travel could become a new form of international cultural exchange.

Low Earth Orbit Business Outlook

Space surrounding the Earth is attracting attention as a new business frontier. A variety of commercial activities are already taking place in low Earth orbit (LEO) at altitudes below 2,000 km. Satellite Internet services are bringing high-speed communications to remote areas of the world, and Earth observation satellites are revolutionizing agriculture and disaster monitoring.

In addition, a private space station is also in the planning stages. The future of the LEO business, however, depends on the balance between technology and regulation.

Importance of LEO

Low Earth Orbit (LEO / altitudes below 2,000 km) is the setting for a variety of commercial activities, including communications, Earth observation, and space manufacturing.

Major LEO Businesses

satellite Internet
- Companies such as Starlink (SpaceX), OneWeb, and Amazon Kuiper have launched thousands of small satellites to provide global Internet services.
- By 2024, these services are expected to enable high-speed Internet access in remote areas of the world.
Earth Observation Service
- Companies such as Planet Labs and Maxar Technologies provide high-resolution Earth images.
- These data are used in a wide range of fields, including agriculture, urban planning, and disaster monitoring.
space station
- Axiom Space and Bigelow Aerospace are developing commercial space stations.
- These are expected to serve as bases for research, manufacturing, and space tourism using microgravity environments.

technical problem

space debris: The problem of space debris from the increasing number of satellites is becoming more and more serious. Development of debris removal technologies and international regulations are required.
communication technology: New technologies, such as laser communications, are being developed to ensure stable communications with the ground.

economic impact

Morgan Stanley estimates that the global space industry could grow to $1 trillion by 2040, with a significant portion of that growth expected to come from LEO business.

Legal and Ethical Issues

Space law development: With the expansion of commercial activities, there is an urgent need to develop international laws regarding the use of space resources and the management of orbital rights.
privacy: With the proliferation of high-resolution earth observation satellites, the protection of personal privacy has become a new issue.

Virtual Reality and Metaverse｜Expanding the Digital Frontier

The concepts of virtual reality (VR), augmented reality (AR), and their integrated metaverse are fundamentally transforming our digital experiences. These technologies are revolutionizing not only entertainment, but also education, business, medicine, and a wide range of other fields.

Metaverse Technology Infrastructure

A new digital world, the Metaverse, will be realized through cutting-edge VR/AR technologies and high-speed communication networks. The realization of this new world is supported by cutting-edge VR/AR technologies and high-speed communication networks, which enable immersive experiences through 8K-resolution headsets, haptic feedback, and 5G communication. In addition, technologies like real-time translation by AI and BCI operated by thought are being developed, just like in a science fiction movie. However, there are also many issues to be addressed, such as interoperability between platforms and privacy protection. The future of the metaverse will be shaped by the struggle between technology and ethics.

key technology

VR/AR Hardware
- Devices such as the Meta Quest, Sony PlayStation VR, and Microsoft HoloLens offer highly immersive experiences.
- By 2024, devices with 8K resolution, 200+ degree viewing angles, and haptic feedback are expected to be available.
5G/6G communications
- High-speed, low-latency 5G communications enable real-time, high-quality VR/AR experiences.
- 6G communications (scheduled for commercialization around 2030) could lead to holographic communications and a haptic Internet.
edge computing
- Data processing in the vicinity of the device significantly reduces latency, resulting in a smoother VR/AR experience.
AI Technology
- Natural language processing and image recognition technologies enable real-time language translation and environmental understanding in the metaverse.

Innovative Technologies Under Development

Brain-Computer Interface (BCI): Research is underway on techniques to manipulate within the metaverse using only thought.
Full-body tactile suit: Haptic suits are being developed that allow users to feel the tactile sensation of the virtual world with their entire body.

Using the Metaverse in Business

Virtual worlds are becoming the new arena for business. The metaverse is more than just a game; it is revolutionizing business activities. Virtual offices enable collaboration that transcends geographic constraints; product displays and virtual try-on in 3D space have brought a new dimension to e-commerce. In addition, advanced training systems utilizing VR are active in the medical and manufacturing industries. However, security and privacy issues have also emerged. We hold the key to whether the Metaverse will become a true business platform.

Major Application Fields

Virtual Office
- Platforms such as Spatial, Glue, and VRChat enable collaborative work in 3D space.
- By 2024, it is projected that 251 TP3T of Fortune 500 companies will have permanent virtual offices on the Metaverse.
virtual event
- Increasingly, large events such as concerts (e.g., Travis Scott concert at Fortnite) and exhibitions are being held in the Metaverse.
- In 2023, the metaverse events market size is projected to reach approximately $25 billion.
virtual commerce
- New purchasing experiences are emerging that leverage the metaverse, such as 3D product displays and virtual try-on.
- By 2026, the metaverse-related e-commerce market is projected to expand at an annual growth rate of 301 TP3T.
Education and Training
- Advanced simulation training utilizing VR/AR is being introduced in a variety of fields, including medical, manufacturing, and aerospace.
- By 2025, 501 TP3T of global companies are expected to train their employees using VR/AR.

Challenges and Prospects

The metaverse has unlimited potential, but numerous barriers stand in its way. Moving avatars and assets between different platforms is still a pipe dream. Protecting personal information and preventing unauthorized access are also pressing issues. Furthermore, legal frameworks, such as contracts and intellectual property rights in virtual space, also need to be developed. However, if we can overcome these challenges, the metaverse has the potential to fundamentally transform our communication and business transactions. The co-evolution of technology and society will determine the future of the metaverse.

interoperability: Moving avatars and assets between different platforms is a challenge.
Security and Privacy: Protecting personal information and preventing unauthorized access within the metaverse are important issues.
legal framework: New legal issues have arisen, such as intellectual property rights and validity of contracts within the metaverse.

Artificial Intelligence (AI) and Machine Learning｜Frontiers of the Intelligence Revolution

Artificial intelligence (AI) and machine learning are fundamentally transforming the way we live and do business. These technologies are revolutionizing everything from data analysis to decision support to creative tasks.

Latest AI Applications

The world of AI is truly ever-evolving. Yesterday's innovations are becoming commonplace today, and the world of AI is evolving at such a dizzying pace. Large-scale language models produce human-like sentences, and multimodal AI manipulates images and words at will. In the medical field, AI has become the eyes of doctors, accelerating the development of new drugs. In the financial world, AI analysts analyze markets 24 hours a day, 7 days a week. In manufacturing, it predicts breakdowns and optimizes production lines. But this rapid evolution is also creating new challenges: the coexistence of AI and humans, a path that is still being explored.

Evolution of Natural Language Processing (NLP)

Large-scale language model
- Large-scale language models such as GPT-4o, PaLM, and LaMDA enable natural, human-like sentence generation.
- These models are used for a variety of tasks, including content creation, programming assistance, and translation.
- By 2024, it is projected that 401 TP3T of businesses will utilize large-scale language models in some form in their operations.
Multimodal AI
- AI models (e.g., DALL-E 2, Midjourney) are emerging that understand and generate text, images, and voice in an integrated manner.
- These models support creative tasks in areas such as advertising production, product design, and entertainment.
Emotion Analysis and Dialogue Systems
- Sophisticated sentiment analysis techniques have improved the quality of customer service and market research.
- By 2025, 95% of customer service correspondence is projected to be handled by AI chatbots.

Development of Computer Vision

Object Recognition and Tracking
- Highly accurate object recognition technology is used in automated vehicles, surveillance systems, medical imaging, and other applications.
- By 2024, the computer vision market is projected to grow to $48 billion.
Integration with Augmented Reality (AR)
- Technology is evolving to analyze environmental information in real time and overlay useful information through smartphones and AR glasses.
- AR applications are expanding in various fields such as retail, education, and tourism.

Transformations that AI will bring to each industry

The wave of AI is shaking the industrial world to its very foundations. In the medical field, AI has become a doctor's sixth sense, enabling early detection of cancer and personalized medicine. Pharmaceutical companies are accelerating the speed of new drug development with the help of AI. In the financial world, AI algorithms analyze the market in seconds, detect fraud, and even take charge of personal asset management. In manufacturing, AI has become a master at predictive maintenance and optimizing supply chains. The transformation brought about by AI is truly the return of the industrial revolution. Coexistence with AI is the key to the future of business.

Medical/Healthcare

diagnostic aid
- AI-based medical image analysis is improving the accuracy of early detection of cancer and diagnosis of rare diseases.
- By 2025, AI-assisted diagnosis is expected to be part of standard medical protocols.
drug discovery
- The AI-based drug discovery process has significantly reduced the time and cost of new drug development.
- In 2023, several clinical trials for new AI-designed drugs were initiated.
personalized medicine
- AI systems that integrate and analyze genetic and lifestyle data to suggest treatments and preventive measures optimized for the individual are being put to practical use.

financing

Risk Assessment and Fraud Detection
- Sophisticated risk assessment systems based on machine learning models improve the accuracy of loan decisions and insurance underwriting.
- AI-based fraud detection systems have made it possible to detect more than 951 TP3T of financial crimes in real time.
algorithmic trading
- From high-frequency trading to long term investing, AI-based automated trading systems have become mainstream.
- By 2024, it is projected that more than 701 TP3T of all transactions will be executed by AI algorithms.
personal finance
- AI financial advisors suggest the best investment strategies based on an individual's financial situation and goals.
- As a result, sophisticated asset management services, previously reserved for the wealthy, are becoming commonplace.

manufacturing industry

predictive maintenance
- The predictive maintenance system, which combines IoT sensors and AI analysis, has significantly improved the uptime of production lines.
- By 2025, it is expected that 801 TP3T of the manufacturing industry will have some form of AI-based predictive maintenance.
Supply Chain Optimization
- AI is being used for demand forecasting, inventory management, and logistics optimization, dramatically improving supply chain efficiency.
- This is projected to reduce manufacturing operating costs by an average of 15-201 TP3T.
customized production
- AI-based demand forecasting and flexible production systems make it possible to provide individually customized products at a cost equivalent to mass production.

Ethical Issues and Future Prospects

While the evolution of AI is accelerating, ethical challenges are also being highlighted. The opaque decision-making process of AI, known as the "black box." Biases lurking in training data. And the dilemma between privacy and improving AI performance. These challenges have researchers and policy makers around the world scratching their heads. However, we are beginning to see a path toward solutions, including the development of explainable AI and the establishment of an international regulatory framework. The challenge for us all may be to balance the development of AI with ethics.

Transparency and Accountability of AI

Explainable AI (XAI) is being studied to address the "black box" problem of deep learning models.
By 2024, legislation will be in place in the EU that will require AI systems to explain their decision-making process.

Addressing AI Bias

The problem of training data and designer bias affecting AI decisions has been identified.
Datasets are being constructed to account for diversity, and bias detection tools are being developed.

Privacy and Data Protection

Improving AI performance requires large amounts of data, but balancing this with the protection of personal information is a challenge.
Technologies are being developed to allow AI to learn while protecting privacy, such as federated learning and differential privacy.

International Framework for AI Regulation

An international regulatory framework for the development and use of AI is being developed.
By 2025, an international agreement on AI governance is expected to be concluded, primarily among the G7 countries.

While artificial intelligence and machine learning offer immense potential for our society, they also pose important ethical and social challenges. Finding solutions to these challenges in parallel with technological developments is essential for the healthy development of AI and its integration into society. The efforts made over the next few years will largely determine the shape of a future society in which AI and humans coexist in harmony.

Green Technology and Sustainability｜The Path to a Sustainable Future

As climate change action and sustainable development become global issues, green technologies are rapidly gaining importance. These technologies have the potential to fundamentally change our way of life, enabling both environmental protection and economic growth.

Latest Trends in Renewable Energy

An energy revolution is quietly but surely underway. Photovoltaic power generation has dramatically improved in efficiency with perovskite technology. Buildings themselves will soon become power plants. Wind power generation is expanding its domain to the sea and then to the sky, and is becoming huge. Energy storage technology has also evolved, with all-solid-state batteries and flow batteries now in the practical application stage. In addition, hydrogen energy is approaching the status of fossil fuels. Renewable energy is no longer a "supplemental" energy source. Rather, they are beginning to light up our future as the mainstay of energy supply.

Evolution of Photovoltaic Technology

perovskite solar cell
- They are attracting attention as next-generation solar cells with higher efficiency and lower cost than conventional silicon solar cells.
- Commercialization is expected by 2025 and has the potential to further reduce the cost of solar power by 301 TP3T.
Building Integrated Photovoltaic (BIPV)
- Transparent and semi-transparent solar cells that can be integrated into window glass and exterior walls are entering the commercialization stage.
- By 2030, it is projected that more than 501 TP3T of new buildings will use BIPV.
Space Solar Power
- Research is underway on technology to collect sunlight in space and transmit it to the ground via microwaves and lasers.
- Development is underway, mainly in Japan and the U.S., with the aim of commercialization in the 2030s.

Larger and more efficient wind power generation

offshore wind power generation
- As wind turbines continue to grow in size, wind turbines with a single unit output of 15 MW or more are being put to practical use.
- By 2030, global offshore wind capacity is projected to expand more than tenfold from current levels.
Floating offshore wind
- Floating wind turbines, which can be installed in deep water, are being commercialized.
- By 2025, large-scale floating wind farms will be in operation, mainly in Japan and Europe.
Airborne Wind Power
- Development of kite- and airplane-type wind power generation systems that take advantage of strong winds at high altitudes is underway.
- By 2030, a commercial-scale airborne wind farm is expected to be operational.

Next Generation Energy Storage Technology

all solid-state battery
- All-solid-state batteries, which combine high energy density and safety, are being commercialized.
- It is expected that electric vehicles and stationary energy storage systems will begin to be introduced on a full scale from 2025 onward.
flow battery
- Flow batteries suitable for large-scale power storage are being commercialized.
- It contributes to a stable supply of renewable energy and is projected to account for 20% of the global power storage market by 2030.
Hydrogen Energy Storage
- Advances are being made in green hydrogen production and storage technologies using renewable energy sources.
- By 2030, the cost of hydrogen is expected to drop to levels comparable to fossil fuels.

Innovative technologies that contribute to environmental protection

Science and technology are providing new weapons in the fight against global warming. Aggressive CO2 removal technologies, such as DAC technology that directly absorbs CO2 from the atmosphere and ocean alkalization that adjusts the pH of seawater to promote CO2 absorption, are now in the practical stage. Meanwhile, technologies that support a circular economy are also evolving. Chemical recycling has made it possible to recycle plastics, which was previously impossible. Recovery of rare metals from urban mines is also gaining momentum. Furthermore, vertical farming and precision agriculture utilizing IoT are revolutionizing food production. The commercialization of cultured meat is also near at hand. These technologies are opening the door to a sustainable society.

carbon dioxide removal technology

Direct air recovery (DAC)
- Technology to capture CO2 directly from the atmosphere is being commercialized.
- By 2030, it is predicted that the annual capture of 100 million tons of CO2 will be possible.
Bioenergy CCS (BECCS)
- Negative emission technologies combining biomass power generation with carbon capture and storage are being demonstrated.
- By 2040, BECCS is expected to remove up to 1 billion tons of CO2 per year.
Marine alkalization
- Research is underway on technology to increase the pH of seawater to promote CO2 absorption.
- Large-scale demonstrations are expected to begin by 2035.

Technology to Support a Circular Economy

Plastic Recycling
- Advances in chemical recycling technology are making it possible to recycle plastics that were previously difficult to recycle.
- The goal is to increase the global plastic recycling rate to 601 TP3T by 2030.
bioplastic
- Fully biodegradable plastics of plant origin are being developed.
- By 2025, bioplastic production is projected to expand five-fold from current levels.
Urban Mining Development
- Technology is evolving to efficiently recover rare metals from electronic devices.
- By 2030, metal recovery from urban mines is expected to account for 30% of the world's metal supply.

Smart Agriculture and Sustainable Food Production

vertical farming
- Multi-layered indoor agriculture combining LED and hydroponics is expanding in urban areas.
- By 2030, it is projected that 101 TP3T of the world's vegetable production will take place in vertical farming.
precision farming
- Precision farming techniques utilizing drones and IoT sensors have significantly reduced the use of pesticides and fertilizers.
- By 2025, 801 TP3T of large farms in developed countries are expected to have adopted precision agriculture technology.
cultured meat
- Commercialization of artificial meat cultured from animal cells is underway.
- By 2030, cultured meat is projected to account for 101 TP3T of the global meat market.

Future Issues and Prospects

Green technology offers a hopeful vision of the future. However, the road to realization is not smooth. Implementing the technology in society requires massive infrastructure investment and regulatory reform. Cost reduction is also a major challenge. Furthermore, global efforts to combat climate change are indispensable. Technology transfer from developed countries to developing countries is also an urgent task. Can we overcome these challenges and realize a sustainable society? The key to success lies in the awareness and actions of each and every one of us. The next decade will be a critical time to decide the fate of our planet.

Social Implementation of Technology

Large-scale adoption of green technology requires infrastructure development and regulatory reform.
By 2025, many countries aim to increase their green infrastructure investment to more than 2% of GDP.

Cost Reduction and Economy

Many green technologies remain costly, and the challenge is to achieve further innovation and economies of scale.
By 2030, the goal is to reduce the cost of key green technologies to the same or less than that of conventional technologies.

International Cooperation and Technology Transfer

Global efforts to combat climate change are essential, and technology transfer from developed countries to developing countries is an important issue.
There is an international agreement to provide developing countries with $100 billion per year in climate finance by 2030.

Green technologies are key to enabling both environmental protection and economic growth. The development and diffusion of these technologies is expected to accelerate the transition to a sustainable society. However, to realize this goal, it is essential not only to address technological issues, but also to reform social systems and strengthen international cooperation. The efforts made over the next decade will greatly determine the future of our planet.

5. biotechnology and the future of medicine

Rapid advances in biotechnology and medical technology are revolutionizing human health and longevity. Technologies that were once only the stuff of science fiction, such as gene editing, regenerative medicine, and personalized medicine, are becoming a reality.

Advances in Genome Editing Technology

Humans finally have the power to rewrite the blueprint of life: the accuracy of CRISPR-Cas9 technology is improving daily, and off-target effects are drastically reduced. In addition, "prime editing," which edits DNA without cutting it, and "epigenome editing," which controls gene expression, have also emerged. These technologies are about to revolutionize the treatment of genetic diseases. At the same time, ethical issues have emerged, such as the editing of human embryos and gene enhancement. How should we handle the power of life manipulation? The time has come for society as a whole to seek answers to these questions.

CRISPR-Cas9 and its evolution

Improved accuracy of CRISPR-Cas9
- A new generation of CRISPR technology is being developed that significantly reduces off-target effects (unintended site editing).
- By 2025, CRISPR technology with an accuracy of 99.91 TP3T or better is projected to be commercially available.
prime editing
- Prime Editing" technology, which enables editing without breaking the DNA double strand, has been developed, making safer gene editing possible.
- By 2030, treatments for genetic diseases using prime editing are expected to enter the clinical trial phase.
epigenome editing
- Research on "epigenome editing" technology, which controls gene expression without changing the DNA sequence, is underway.
- It is expected that applications in cancer treatment and other fields will begin around 2027.

Advances in Gene Therapy

Treatment of single gene diseases
- Gene therapy for hemophilia, sickle cell disease, and other single gene disorders is entering the practical stage.
- By 2030, it is projected that more than 100 gene therapies for single gene diseases will be approved.
Evolution of CAR-T Cell Therapy
- CAR-T cell therapy, which has revolutionized cancer treatment, is evolving into a next-generation technology that can be applied to solid tumors.
- By 2025, CAR-T cell therapies for major solid tumors are expected to enter late-stage clinical trials.
Gene Drive Technology
- Technology is being developed to control malaria and other infectious diseases by manipulating the genes of mosquitoes and other vectors.
- Limited field experiments may begin around 2028.

Ethical Issues and Regulations

Genome editing of human embryos
- An international regulatory framework for genome editing of human embryos is being developed.
- By 2025, international guidelines on human embryo genome editing are expected to be developed under the initiative of WHO.
gene enhancement
- Ethical debates about gene editing for capacity-enhancing purposes beyond disease treatment are gaining momentum.
- By 2030, international regulations on gene editing for non-medical purposes are expected to be in place.

The Potential of Personalized Medicine

The era of "your personalized medicine" is quietly dawning. Whole genome analysis has become part of general health checkups, and optimal drug selection based on an individual's DNA is commonplace. Liquid biopsy technology, which can detect more than 50 types of cancer in its early stages with a single drop of blood, is nearing commercialization. Furthermore, the fusion of AI and medical big data enables personalized treatment planning and highly accurate disease prediction. These technologies are bringing about a dramatic shift from medicine for the "average patient" to "just you" medicine. But will all people benefit equally from this revolution? That will be the next challenge.

Diffusion of genomic medicine

Generalization of Whole Genome Analysis
- The cost of whole genome analysis for an individual has dropped to less than $100 and is becoming part of the general health screening process.
- By 2030, it is projected that more than 50% of the population in developed countries will undergo whole genome analysis at least once in their lifetime.
pharmacogenomics
- Pharmacogenomics, the determination of optimal drugs and doses based on an individual's genomic information, is becoming standard medical practice.
- By 2025, it is expected that more than 701 TP3T of major pharmaceutical products will include pharmacogenomics information in the package insert.
Disease Risk Prediction
- Highly accurate disease risk prediction models are being developed that integrate genomic information and lifestyle data.
- It is expected that by around 2028, we will be able to predict the risk of major chronic diseases with greater accuracy than 90%.

Liquid biopsy technique

Early detection of cancer
- Technology for detecting trace amounts of cancer-derived DNA (ctDNA) in the blood has improved dramatically, enabling the early detection of many cancers.
- It is predicted that by 2026, liquid biopsy technology will be commercially available for early detection of more than 50 types of cancer with an accuracy of 90% or better.
Treatment Effectiveness Monitoring
- Real-time monitoring of treatment response by liquid biopsy has become part of standard cancer treatment protocols.
- By 2025, it is expected that treatment efficacy monitoring by liquid biopsy will be covered by insurance for more than 80% of major cancer types.
Early diagnosis of neurodegenerative diseases
- Technology has been developed to predict neurodegenerative diseases such as Alzheimer's and Parkinson's disease with blood tests more than 10 years before the onset of disease.
- It is expected that preventive treatment of these diseases will be available around 2030.

Integration of AI and Medical Big Data

AI Diagnosis Support System
- Systems in which AI assists physicians in diagnostic imaging, pathological diagnosis, and clinical laboratory data analysis are becoming more common.
- By 2025, it is projected that more than 901 TP3T of major medical facilities will have AI diagnostic assistance systems.
individualized treatment plan
- An AI system that integrates and analyzes a patient's genetic information, lifestyle data, and medical history to propose an optimal treatment plan is now in practical use.
- Around 2028, more than 701 TP3T of chronically ill patients are expected to benefit from personalized treatment plans with AI.
Disease prediction and preventive medicine
- Highly accurate disease prediction models utilizing medical big data and AI provide personalized preventive healthcare programs.
- By 2030, these programs are expected to reduce the incidence of major chronic diseases by more than 301 TP3T.

Future Issues and Prospects

Advances in biotechnology and medicine have the potential to bring unprecedented health and longevity to humankind. However, numerous barriers stand in the way. The protection of personal genetic information and health data is an urgent issue. Disparities brought about by advanced medical technology are also a concern. In addition, regulations continue to fail to keep pace with rapid technological innovation. Can we overcome these challenges and realize a society that can fairly enjoy the benefits of innovative technologies? The key to overcoming these challenges lies in building a social consensus and an appropriate regulatory framework that can be promoted in parallel with technological development.

Data Privacy and Ethics

The protection of personal genetic information and health data is an important issue.
By 2025, many countries are expected to have genetic information nondiscrimination laws in place.

Widening healthcare disparities

There is concern about the disparity between those who can benefit from advanced medical technology and those who cannot.
By 2030, international efforts to ensure equitable dissemination of advanced medical technologies, led by the WHO, are expected to intensify.

Balance between regulation and innovation

Regulations continue to fail to keep pace with rapid technological innovation.
It is expected that by around 2026, flexible regulatory approaches, such as "adaptive appropriateness," will be introduced in major countries.

Advances in biotechnology and medical technology have the potential to bring unprecedented health and longevity to humanity. At the same time, however, these technologies also pose serious ethical and social challenges. In parallel with the development of technology, building social consensus and establishing an appropriate regulatory framework are essential to realize a society that can fairly enjoy the benefits of these innovative technologies.

6. new challenges in cyber security｜Safety in the digital age

Cyber security is becoming more and more important every day in today's increasingly digitalized society, and the threat of cyber attacks is becoming more complex and sophisticated with the proliferation of IoT devices, the expansion of cloud computing, and the deployment of 5G and 6G networks. At the same time, new defense technologies continue to evolve to counter these threats.

Latest Threats and Countermeasure Technologies

The battlefield of cyberspace is evolving daily, as new AI-driven threats continue to emerge, with deep-fake fraud and autonomously evolving malware raging. Meanwhile, the emergence of quantum computing has the potential to upend the current cryptographic system. Furthermore, the spread of 5G and 6G is creating new attack surfaces. However, the defenders are not silent: AI-based countermeasure technologies and quantum-resistant cryptography are being developed at a rapid pace. The world of cybersecurity is truly a game of technology. The security of the digital society is being protected at the forefront of this battle.

AI-driven cyber attacks

deep fake attack
- Fraud and the spread of misinformation through fake audio and video generated using AI is on the rise.
- By 2025, it is projected that more than 301 TP3T of online content will be AI-generated, making authenticity a critical issue.
autonomous malware
- Sophisticated malware that leverages machine learning to evolve itself is emerging.
- Around 2026, autonomous malware, which is difficult to detect using traditional static defense methods, is expected to become the norm.
AI-based Social Engineering
- Highly personalized attack methods are being developed by analyzing an individual's online behavior.
- By 2024, it is projected that more than 501 TP3T of phishing attacks will be AI-based.

The Threat of Quantum Computing

Vulnerability of current cryptosystems
- The practical application of quantum computers threatens to make many cryptographic systems in use today decipherable.
- It has been warned that by 2030, public key cryptography such as RSA could be cracked by quantum computers in practical time.
Development of Quantum Resistant Cryptography
- New cryptographic algorithms are being developed that are difficult to crack even with quantum computers.
- By 2025, the NIST-recommended quantum-resistant cryptography standard is expected to be established and begin to be deployed in major systems.
Quantum Key Delivery (QKD)
- QKD technology, which uses the principles of quantum mechanics for absolutely secure key exchange, is being put to practical use.
- It is expected that major financial institutions and government agencies will begin implementing QKD around 2028.

5G and 6G Security

Network Slicing Security
- New attack methods and defenses are being developed for the network slicing technologies introduced in 5G.
- By 2025, secure slicing technology is expected to be implemented in more than 80% of 5G networks.
Edge Computing Security
- With the increase in processing at the network edge, attacks targeting edge devices are on the rise.
- Around 2026, it is projected that advanced embedded security features will be implemented in more than 901 TP3T of edge devices.
Monitoring technology for ultra-high-speed, high-capacity communications
- Technology to monitor and analyze terabit-class communications in real time is being developed for the practical application of 6G.
- By 2030, AI-based ultra-fast network anomaly detection systems are expected to be standardized.

Importance of Privacy Protection

In the digital age, our personal information is more vulnerable than ever. However, there is a new ray of hope. Zero-knowledge proof technology enables authentication without disclosing information. Decentralized identities leveraging blockchain are enabling self-sovereign information management. Furthermore, edge AI is becoming more prevalent, allowing data to be processed without sending it to the cloud. Next-generation cryptographic technologies such as fully quasi-isomorphic cryptography, secret sharing techniques, and quantum random number generators are also emerging one after another. Privacy protection is no longer just an ideal. It is becoming a reality through the power of technology.

Data Minimization and Decentralization

zero-knowledge-validation
- Zero-knowledge proof" technology, which allows authentication and transactions to be conducted without disclosing personal information, is being put to practical use.
- Around 2027, it is expected that more than 301 TP3T of major online services will adopt zero-knowledge proofs.
Distributed Identity (DID)
- Self-sovereign identity management systems utilizing blockchain technology are becoming increasingly popular.
- By 2026, it is projected that e-government services in major countries will begin to adopt DID.
Edge AI and local processing
- To protect privacy, technologies that process data on edge devices without sending it to the cloud are gaining popularity.
- By 2025, more than 601 TP3T of IoT devices are expected to have edge AI capabilities.

Evolution of Encryption Technology

perfect homomorphic cryptosystem
- Fully quasi-homomorphic ciphers, which allow data processing with encryption, are being put to practical use.
- It is predicted that around 2028, more than 20% of cloud services will use fully quasi-isomorphic ciphers.
secret sharing technology
- Secret sharing technology, which divides data into multiple fragments for storage, is becoming increasingly sophisticated.
- By 2026, more than 901 TP3T of major cloud providers are expected to offer secret sharing technology as a standard feature.
quantum random number generator
- Quantum random number generators that generate true random numbers are becoming smaller and less expensive.
- Around 2029, it is expected that more than 50% of devices requiring high security will be equipped with quantum random number generators.

Diffusion of Privacy Enhancing Technology (PET)

Differential privacy
- The adoption of differential privacy techniques that make it difficult to identify individuals while preserving the statistical nature of the entire data set is growing.
- By 2025, more than 801 TP3T of major statistical agencies and leading technology companies are expected to adopt differential privacy.
combined learning
- Coalitional learning techniques, in which machine learning is performed on distributed rather than centralized data, are becoming increasingly popular.
- It is predicted that by around 2027, more than 401 TP3T of AI models in the medical and financial fields will be built using federated learning.
Privacy Protection Data Mining
- Privacy-preserving data mining techniques are being developed to extract useful findings while protecting personal information.
- By 2026, these technologies are expected to be employed in more than 601 TP3T of big data analytics projects.

Future Issues and Prospects

The battle for cybersecurity cannot be won by one country alone. There is an urgent need to build an international cooperative framework. Meanwhile, the co-evolution of AI and cybersecurity is accelerating. We are entering an era of "AI vs. AI," and the role of humans is being questioned. There is also a serious shortage of human resources who can handle these cutting-edge technologies. A review of university education has begun, but will it catch up? Balancing security and individual rights, and balancing technological development and legislation. The future of the digital society depends on how we face these issues. It is time for each of us to participate in this debate.

International Cyber Security Cooperation

In response to the internationalization of cyber-attacks, cooperation among countries is being strengthened.
By 2025, a comprehensive international treaty on cybersecurity is expected to be concluded among major countries.

Co-evolution of AI and Cybersecurity

We are entering an era of "AI vs. AI," where AI-based attack and defense technologies continue to evolve against each other.
It is predicted that around 2030, more than 801 TP3T of cybersecurity work will be automated by AI.

Human Resource Development and Education

There is a growing shortage of human resources capable of dealing with increasingly sophisticated cyber security technologies.
By 2026, it is expected that more than 501 TP3T of major universities will have cybersecurity as a required course.

Cyber security is an important technological field that supports the foundation of the digital society. As technology evolves and new threats emerge one after another, security measures must also continue to evolve. At the same time, privacy protection is becoming increasingly important, and striking a balance between security and individual rights will be a major challenge in the future. Comprehensive promotion of technological development, legislation, international cooperation, and education is expected to help realize a safe and trustworthy digital society.

Next Generation Computing｜New Paradigm of Information Processing

Computing technology continues to evolve in new directions, even as it faces the limits of Moore's Law. New paradigms are emerging, such as quantum computing, neuromorphic computing, and edge computing, that go beyond traditional silicon-based computational models. These technologies have the potential to dramatically improve our information processing capabilities and revolutionize various fields.

Practical Application of Quantum Computing

Humanity has finally entered the quantum world. The number of qubits is steadily increasing and quantum error correction technology is evolving. Quantum algorithms are now surpassing conventional supercomputers in drug discovery, materials science, financial engineering, and AI. Quantum computing is set to revolutionize drug discovery, materials science, financial engineering, and AI. Quantum cryptography enables absolutely secure information exchange, and the vision of a quantum Internet is becoming a reality. We are now on the threshold of a new era of information processing.

Achieving Quantum Advantage

Quantum bit (qubit) expansion
- Practical quantum computation requires hundreds to thousands of cubits, but steady progress is being made.
- By 2025, it is predicted that quantum processors of 1000 cubits or more will be realized.
quantum error correction
- Quantum error correction techniques are being developed to overcome the vulnerability of quantum states.
- It is expected that quantum error correction at a practical level will be possible around 2028.
Development of quantum algorithms
- New algorithms are being developed to maximize the capabilities of quantum computers.
- By 2026, several quantum algorithms are expected to be demonstrated that significantly outperform conventional supercomputers.

Applications of Quantum Computing

Drug Discovery and Materials Science
- High-speed, complex molecular simulations are accelerating the development of new drugs and the design of new materials.
- By 2030, new drugs developed using quantum computing are expected to enter the clinical trial stage.
financial engineering
- Quantum computing is being used in the financial sector for risk analysis and portfolio optimization.
- Around 2027, it is projected that more than 501 TP3T of major financial institutions will use some form of quantum computing.
Artificial Intelligence and Machine Learning
- The development of quantum machine learning algorithms has dramatically increased the speed and accuracy of AI learning.
- By 2029, superhuman AI systems using quantum reinforcement learning are expected to be a reality.

Prospects for the Quantum Internet

quantum cryptography
- Quantum key delivery (QKD), which enables absolutely unbreakable communications, is being put to practical use.
- By 2026, quantum cryptographic communication networks are expected to be established between major cities.
distributed quantum computation
- Research is underway on distributed quantum computation that links geographically distant quantum computers.
- Around 2030, it is expected that there will be a demonstration of a quantum internet connecting the continents.

Developments in Edge Computing

From the Cloud to the Edge: Data processing is moving from the Cloud to the Edge. The main battleground for data processing is shifting: 5G/6G convergence is enabling ultra-low latency processing in the millisecond range, and self-driving cars and AR glasses are benefiting from this. Self-driving cars and AR glasses are benefiting from this; many IoT devices are equipped with AI capabilities to make real-time decisions while protecting privacy. Urban infrastructure is also becoming smarter, optimizing transportation and energy. Furthermore, with the evolution of power-saving technologies, IoT sensors that can operate without batteries are no longer a dream. Edge computing is changing everything around us to be smart.

Integration with 5G/6G

ultra low latency processing
- The combination of edge computing and 5G/6G enables ultra-low latency processing in the millisecond range.
- By 2025, more than 901 TP3T of devices requiring real-time processing, such as self-driving cars and AR glasses, are expected to employ edge computing.
network slicing
- The integration of 5G network slicing technology and edge computing enables optimal allocation of network and compute resources according to application.
- It is expected that by around 2026, more than 801 TP3T of the major telecommunications carriers will offer this technology as standard.

Convergence of AI and IoT

edge AI
- Advances in edge AI technologies that perform AI processing on devices are enabling real-time decision making while protecting privacy.
- By 2024, more than 70% of IoT devices are expected to have edge AI capabilities.
Smart City Infrastructure
- Edge computing is being used to improve the efficiency of urban infrastructure, including traffic management, energy optimization, and crime prevention.
- By 2028, more than 501 TP3T of the world's major cities are expected to have smart city technology with edge computing.

Improved energy efficiency

Power Saving Architecture
- Development of ultra-low power processors for edge devices is underway.
- By 2025, it is expected that edge processors capable of performing equivalent processing with less than one-tenth of today's power consumption will be commercially available.
energy harvesting
- Edge devices that collect and operate on minute amounts of energy in the environment are being developed.
- Around 2027, IoT sensor networks that operate without batteries are expected to be commercially available.

Emerging Computing Paradigm

New computational paradigms are emerging that push beyond the limits of silicon. Neuromorphic chips that mimic the human brain boast tremendous energy-saving performance; DNA computing, which exploits the molecular structure of DNA, offers the potential for massively parallel computation. All-optical neural networks using light are on the verge of achieving speed and power savings far beyond current AI chips. These new technologies are about to upend traditional computing concepts. We are now witnessing new horizons in information processing.

neuromorphic computing

brain chip
- Neuromorphic chips that mimic the structure of the human brain are being developed.
- By 2026, neuromorphic chips capable of performing AI processing at more than 100 times the energy efficiency of conventional GPUs are projected to be commercially available.
spiking neural network
- Spiking neural networks, which more closely mimic the nervous systems of living organisms, are being studied.
- Around 2028, AI systems with human-level visual and auditory recognition capabilities are expected to be realized on neuromorphic hardware.

DNA computing

Molecular-scale information processing
- DNA computing, which uses the molecular structure of DNA to perform massively parallel computations, is being studied.
- By 2030, DNA computers are expected to demonstrate computational power that surpasses even quantum computers for certain problems.
Integration with biosensing
- Ultra-compact, high-performance medical diagnostic devices combining DNA computing and biological sensors are being developed.
- Around 2029, DNA computing-based diagnostic kits that can simultaneously analyze hundreds of disease markers from a single drop of blood are expected to be commercially available.

optical computing

Optical Interconnect
- Technology for optical signal transmission between and within chips is being put to practical use.
- By 2025, optical interconnect technology is projected to be used in more than 80% of data centers.
all-optical neural network
- Research is underway on neural networks that do not use electrical signals and operate only with light.
- Around 2028, all-optical AI processors are expected to be more than 1,000 times faster and consume less than 1/100th of the power of current AI chips.

Future Issues and Prospects

The world of next-generation computing is an uncharted territory where possibilities and challenges intersect. While hybrid quantum and classical systems open up new possibilities, there is an urgent need to develop programming methods suitable for these new technologies. Furthermore, the social impact of ultra-high computational power cannot be ignored. Ethical concerns, such as the threat to personal information posed by cryptanalysis, are also emerging. In parallel with technological development, social and ethical discussions must be promoted. Next-generation computing is a stage that will test the harmony between technological evolution and human wisdom. How will we meet this challenge?

Quantum-Classical Hybrid Systems

Hybrid systems that effectively combine quantum computers with conventional classical computers are being developed.
By 2027, all major cloud providers are expected to offer quantum/classical hybrid computing services.

New Programming Paradigm

The challenge is to develop programming languages and development environments suitable for new architectures such as quantum computers and neuromorphic computers.
Around 2026, integrated development environments (IDEs) for these new technologies are expected to become commonplace.

Ethical and Social Implications

There is growing concern about the social consequences of ultra-high computing power (e.g., threats to personal information from cryptanalysis).
By 2025, international guidelines for the ethical use of next-generation computing technologies are expected to be developed.

Next-generation computing technologies have the potential to dramatically increase our computing power and revolutionize various fields, including science, medicine, finance, and the environment. At the same time, these technologies also pose new challenges, and social and ethical discussions must be promoted in parallel with technological development. Developments over the next decade will open up new horizons in humanity's ability to process information.

8. blockchain and cryptocurrency｜The future of decentralized economy

Blockchain technology and cryptocurrencies have the potential to revolutionize not only the financial system, but all areas of society. The evolution of distributed ledger technology (DLT) is creating new applications in various areas where trust, transparency, and security are important.

Potential for decentralized finance (DeFi)

A quiet revolution is taking place in the world of finance. The possibilities are growing every day. Decentralized exchanges that leverage liquidity pools are outpacing traditional exchanges. Synthetic assets that digitize real assets are also emerging. Cross-chain technology is also evolving to allow free movement between different blockchains. DeFi is about to take a big step from the experimental stage to the practical stage.

DeFi Protocol Evolution

liquidity pool
- Decentralized exchange (DEX) technology using automated market makers (AMMs) is evolving.
- By 2025, DEX trading volume is projected to exceed 501 TP3T of centralized exchange trading volume.
synthetic asset
- Synthetic assets are being developed to represent real assets on the blockchain.
- It is expected that by around 2026, more than 801 TP3T of major stocks and commodities will be tradable on the blockchain.
Cross-chain technology
- Cross-chain technology is being developed to allow seamless transfer of assets between different blockchains.
- By 2024, more than 901 TP3T of major blockchains are expected to implement cross-chain functionality.

DeFi Regulation and Institutionalization

Regulatory Framework
- An international regulatory framework for DeFi is being developed.
- By 2025, the majority of G20 countries are expected to introduce comprehensive regulations on DeFi.
Entry of institutional investors
- With the clarification of regulations, institutional investors are beginning to enter the DeFi market in earnest.
- Around 2027, more than 301 TP3T of the world's major investment funds are expected to invest in the DeFi protocol.
Integration with Central Bank Digital Currency (CBDC)
- Integration of CBDC and DeFi protocols in various countries is being considered.
- By 2028, more than 501 TP3T of CBDCs in major countries are expected to be linked in some way to the DeFi protocol.

DeFi Scalability and Security

Layer 2 Solution
- Layer 2 technology is being developed to improve the scalability of the blockchain.
- By 2024, Ethereum's transaction processing capacity is projected to increase more than 1,000 times its current capacity.
quantum resistance
- New encryption techniques are being developed that can withstand attacks by quantum computers.
- Around 2026, more than 80% of the major DeFi protocols are expected to be quantum tolerant.
Smart Contract Auditing
- AI-based automated smart contract auditing tools are being developed.
- By 2025, more than 951 TP3T of new DeFi projects are expected to use AI auditing tools.

Industrial Applications of Blockchain Technology

The blockchain wave is sweeping across a variety of industries beyond finance. Traceability of food and pharmaceuticals, streamlining international trade, and promoting a circular economy. These are just a few examples. Self-sovereign digital identities are fundamentally changing the way we manage our personal information. Corporate governance is also undergoing a revolution: new forms of organization called DAOs are on the rise, and electronic voting systems are changing even the nature of democracy. Blockchain is permeating all areas of society and building new foundations of trust.

Supply Chain Management

traceability
- End-to-end traceability systems utilizing blockchain are being implemented in the food, pharmaceutical, and luxury goods sectors.
- By 2026, more than 701 TP3T of the world's major retail chains are expected to adopt blockchain-based traceability systems.
trade finance
- Blockchain technology is being used to reduce paperwork and increase efficiency in international trade.
- It is expected that by around 2027, more than 501 TP3T of international trade transactions will be processed on the blockchain.
circular economy
- Blockchain systems are being developed to track the entire product life cycle and facilitate recycling and reuse.
- By 2028, more than 401 TP3T of major manufacturing industries are expected to have such systems in place.

digital identity

Self-sovereign identity (SSI)
- Decentralized digital identity systems utilizing blockchain are being developed.
- By 2025, it is projected that more than 301 TP3T of major countries will have SSI-based public digital ID systems.
KYC/AML
- Blockchain technology is being used by financial institutions in their customer verification (KYC) and anti-money laundering (AML) processes.
- It is expected that by around 2026, more than 601 TP3T of global financial institutions will have adopted blockchain-based KYC/AML systems.
Privacy Protection Technology
- Privacy-preserving technologies such as zero-knowledge proofs are being integrated with blockchain.
- By 2027, more than 901 TP3T of the major blockchain platforms are expected to have privacy-preserving transaction features as standard.

Governance and Voting Systems

Distributed Autonomous Organization (DAO)
- Increasingly, companies and non-profit organizations are adopting the DAO model for their operations.
- It is projected that around 2028, more than 20% of newly established firms will adopt the DAO model.
electronic voting
- Development of secure and transparent electronic voting systems utilizing blockchain is underway.
- By 2026, more than 301 TP3T of major democracies are expected to pilot blockchain-based electronic voting systems in national elections.
Smart City Governance
- Efforts are underway to utilize blockchain technology in urban decision-making processes.
- By 2029, more than 401 TP3T of the world's major cities are expected to have implemented blockchain-based citizen participatory decision-making systems.

Future Issues and Prospects

Blockchain and cryptocurrencies seem to promise a bright future. However, the road ahead is not smooth. Ensuring interoperability between different blockchains, creating an appropriate regulatory framework that does not stifle innovation, and reducing environmental impact. These are issues that need to be resolved urgently. In addition, educational efforts are needed to help the general public understand the complexity of the technology. Can blockchain overcome these challenges and become a true social infrastructure? The future of the decentralized economy depends on the understanding and actions of each and every one of us.

interoperability

Seamless exchange of information and value between different blockchains is a challenge.
By 2026, full interoperability among major blockchain platforms is expected to be achieved.

Harmonization with Regulations

A balanced approach to appropriate regulation without stifling innovation is required.
It is expected that an international regulatory framework for blockchain and DeFi will be established around 2025.

Environmental Considerations

More environmentally friendly consensus algorithms are being developed to address the power consumption issues of blockchain.
By 2024, more than 901 TP3T of major cryptocurrencies are expected to migrate to environmentally friendly methods.

Education and Dissemination

Efforts are underway to make the complexity of blockchain technology more understandable to the average user.
It is predicted that by around 2027, more than 30% of the world's population will be using blockchain technology on a daily basis.

Blockchain and cryptocurrencies have the potential to revolutionize not only the financial system, but all areas of society. In today's society, where trust, transparency, and security are of paramount importance, these technologies are expected to play a role as a new social infrastructure. As the technologies continue to evolve and be implemented in society, there are many issues that need to be resolved, such as the development of appropriate regulatory frameworks and environmental considerations. Developments over the next decade will largely determine the future of the decentralized economy.

9. innovation of automated driving technology and its social implementation｜Future of Mobility

Automated driving technology has the potential to revolutionize our lives and society by improving traffic safety, increasing the efficiency of mobility, and creating new mobility services. With the rapid advancement of technology and the development of laws in many countries, the practical application of self-driving cars is becoming a reality.

Latest Trends in Automated Driving Technology

Evolution of Sensor Technology

LiDAR (Light Detection and Ranging)
- With the progress of miniaturization and cost reduction, the system can be installed in more and more vehicles.
- By 2025, LiDAR prices are projected to be less than one-tenth of current prices.
High resolution camera
- Combined with AI image recognition technology, it provides a more accurate picture of the surrounding environment.
- By 2024, 8K-resolution cameras are expected to be standard in self-driving cars.
Millimeter Wave Radar
- Millimeter wave radar performance has been improved for highly accurate detection even in adverse weather conditions.
- By 2026, radar systems with 1 cm resolution are expected to be in practical use.

AI and Machine Learning Applications

edge AI
- Increased processing power of in-vehicle computers is enabling advanced decision-making in real time.
- By 2025, more than 951 TP3T of self-driving vehicles are expected to be equipped with edge AI.
deep reinforcement learning
- AI is being developed to learn to make optimal decisions in complex traffic situations.
- Around 2027, it is expected that AI systems will be capable of making better decisions than human drivers.
Simulation Technology
- Large-scale driving tests in a virtual environment have dramatically improved the learning efficiency of AI.
- By 2024, it is expected that more than 1 million kilometers per day of virtual driving tests will be possible.

Integration with telecommunications technology

5G/6G Network
- Inter-vehicle and roadside-to-vehicle communications are becoming more sophisticated due to ultra-low latency and high-capacity communications.
- By 2026, it is projected that more than 801 TP3T of major metropolitan areas will have 5G networks in place to support automated driving.
V2X (Vehicle-to-Everything) communication
- Real-time information exchange between vehicles and surrounding infrastructure, pedestrians, etc. is now possible.
- It is expected that by around 2028, more than 901 TP3T of new vehicles will have V2X communication capability as standard.

Social Implementation of Automated Driving

Regulations and Standardization

Establishment of International Standards
- An international framework for safety standards and type certification of automated driving systems is being developed.
- By 2025, a mutual certification system for automated vehicles is expected to be established among major countries.
Clarification of responsibilities
- Responsibility sharing in the event of accidents and insurance systems are being reviewed.
- Around 2026, new insurance schemes specifically for automated vehicles are expected to be introduced in major countries.

Improvement of social infrastructure

Linkage with Smart Cities
- Urban infrastructure is being developed to accommodate automated driving, including the digitization of traffic signals and road signs, and the installation of dedicated lanes.
- By 2030, it is projected that more than 501 TP3T of the world's major cities will have infrastructure fully compatible with self-driving vehicles.
Charging and power supply infrastructure
- Development of automatic charging systems and in-transit power supply technologies for automated EVs is underway.
- Around 2028, it is expected that more than 301 TP3T of major highways will have in-transit power supply systems.

Social Impact of Automated Driving

Improved traffic safety

It is expected to significantly reduce accidents caused by human error.
By 2035, it is projected that the number of traffic fatalities could be reduced by more than 90% from the current level.

Improved efficiency of transportation

Optimized traffic flow reduces congestion and travel time.
By 2030, average urban travel times are expected to be reduced by more than 301 TP3T.

New Mobility Services

New modes of transportation such as self-driving cabs and sharing services will become widespread.
It is projected that by around 2028, more than 401 TP3T of urban travel will be accounted for by these new services.

Labor Market Impact

While occupations such as drivers are expected to change, demand for new technical jobs will increase.
By 2030, the employment structure in automotive-related industries is expected to change dramatically, with demand for software developers and AI engineers expected to more than triple the current level.

Future Issues and Prospects

technical problem

The ability to respond to extreme weather conditions and unforeseen situations needs to be improved.
By 2026, it is expected that automated driving systems will be developed that can safely drive in all weather conditions.

social acceptability

It is important to increase the public's trust and understanding of automated driving technology.
Starting around 2025, large-scale public road demonstrations and hands-on programs are expected to take place around the world.

Privacy and Security

Concerns about the collection and use of large amounts of personal data need to be addressed.
By 2024, international guidelines for data protection in self-driving vehicles are expected to be in place.

Automated driving technology is more than just a revolutionary means of transportation; it has the potential to affect all aspects of society, including urban planning, energy use, and the working environment. As the technology development and social implementation progresses, there are many issues that need to be resolved, such as ensuring safety, developing laws, and addressing ethical issues. Efforts over the next decade will greatly determine the realization and shape of an automated society.

10. Rapid Growth of Drone Technology｜Innovations Pioneering the Skies of the Future

Drone technology is transforming our lives, turning flying machines that were once only spoken of in the world of science fiction into reality. Its growth has been remarkable, and it is now indispensable in many fields, including logistics, agriculture, disaster response, and infrastructure management.

Latest Drone Technology Trends

Evolution of Autonomous Flight Technology

Obstacle avoidance by AI
- Real-time obstacle detection and avoidance systems utilizing deep learning are in practical use.
- By 2025, fully autonomous drones are projected to account for 60% of commercial drones.
Swarm Control Technology
- Technology is developing to control multiple drones simultaneously to accomplish missions in a coordinated manner.
- Around 2026, commercial systems that control more than 100 drones simultaneously are expected to become commonplace.
All-weather operation
- Control technology has been developed to ensure stable flight even in strong winds and rain.
- By 2024, drones capable of stable operation in wind speeds of up to 15 m/s are expected to become the standard.

Battery and propulsion systems

Next Generation Battery
- The use of solid-state batteries and hybrid power systems has significantly extended flight time.
- By 2025, it is projected to be capable of flying for more than three hours on a single charge.
Hydrogen fuel cell
- Drones powered by hydrogen fuel cells are being developed for long-distance flights.
- Around 2027, fuel cell drones capable of more than 8 hours of continuous flight are expected to be commercially available.
Charging Infrastructure
- Automatic recharging stations are being developed, allowing for 24-hour operation.
- By 2026, a network of automatic charging stations is expected to be built in major urban areas.

Sensor Technology and Payload

High-precision sensing
- A variety of sensors are being integrated, including LiDAR, multispectral cameras, and thermal imaging cameras.
- By 2025, 3D surveying with centimeter-level accuracy is expected to become a standard feature.
Payload capacity expansion
- New materials and design optimization have improved loading capacity.
- Around 2026, it is expected that small drones will be able to transport cargo weighing 30 kg or more.

Current Status and Prospects for Industrial Applications

Logistics and Shipping Revolution

Last Mile Delivery
- Drones are beginning to be used for small deliveries in urban areas.
- By 2027, it is projected that more than 20% of urban parcel deliveries will be made by drones.
Medical Supplies Transportation
- Drones are being used to transport emergency medical supplies and organs.
- By 2025, medical drone delivery networks are expected to be in place in more than 801 TP3T of major cities.

Infrastructure inspection and maintenance

Bridge and tunnel inspection
- Automated inspection systems combining AI and drones are gaining popularity.
- By 2026, more than 501 TP3T of infrastructure inspection work is expected to be performed by drones.
Power line inspection
- Inspection work on high-voltage transmission lines is automated.
- By 2025, it is projected that more than 701 TP3T of utility company inspection work will be replaced by drones.

Contribution to Smart Agriculture

precision farming
- Drones are being used to monitor crop growth and optimize pesticide application.
- By 2028, more than 901 TP3T of large farms are expected to have drones.
Growth Data Analysis
- AI-based image analysis enables early detection of pests and diseases and optimization of harvest time.
- It is expected to increase crop yields by more than 20% around 2026.

Regulatory and Legal Trends

Flight Operation Management System

UTM (Unmanned Aircraft Management System)
- Systems are being developed to manage the safe operation of drones.
- By 2025, UTM systems are expected to be fully operational in major countries.
Identification and tracking systems
- Remote ID drone identification and tracking is mandatory.
- By 2024, it is expected that all commercial drones will be required to be equipped with remote ID.

Improvement of laws and regulations

Relaxation of flight restrictions
- Deregulation of out-of-sight (BVLOS) and night flights is underway.
- By 2026, BVLOS operations in urban areas are expected to become commonplace.
Operation Licensing System
- A certification system for drone operators is being standardized internationally.
- By 2025, a mutual recognition system for licenses is expected to be established among major countries.

Challenges and Prospects in Social Implementation

Safety

Collision Avoidance System
- Systems are being developed to prevent collisions with manned aircraft.
- By 2027, a collision avoidance system with a reliability of 99.991 TP3T is expected to be in practical use.
cyber security
- Measures against drone hacking are being strengthened.
- By 2025, drones with quantum cryptography communication support are expected to be available.

Improvement of social acceptability

Noise Countermeasures
- Low-noise propellers are being developed and flight paths are being optimized.
- By 2026, the noise level is expected to be less than half of the current level.
Privacy Protection
- Guidelines for filming regulations and data protection are in place.
- By 2025, it is predicted that AI privacy protection will be standardized.

Drone technology has the potential to bring innovative solutions to industry as well as to revolutionize the way we live our lives. As technological development and regulatory improvements continue, ensuring safety and protecting privacy are both important issues. Efforts over the next decade will determine the success or failure of drone implementation in society.

Conclusion｜Vision of Future Society Envisioned by Technology

The innovative technology trends described in this guide have the potential to fundamentally transform our society. Space technology, AI, biotechnology, quantum computing, blockchain, self-driving technology, and drone technology are all converging to depict a future society in which

hyperconnected society:
With 5G/6G, IoT, and edge computing, all things are connected to the Internet and exchange information in real time. Self-driving cars and drones will also be an important part of this network, contributing to the optimization of transportation systems and logistics.
human extension:
A society where human physical and cognitive abilities are augmented by BMI, AR/VR, exoskeletons, etc. Automated driving technology changes the concept of mobility and opens up new possibilities for productive use of time in the car.
Personalized Medicine:
Genome editing, AI assisted diagnosis, in-body treatment with nanobots, and other forms of personalized medicine will become commonplace in our society. Self-driving vehicles and drones will also contribute to speeding up emergency medical services and improving access to medical care in remote areas.
Sustainable circular economy:
An economic system that minimizes environmental impact through renewable energy, green technology, and blockchain traceability. Drones contribute to environmental monitoring and precision agriculture to help achieve sustainability.
decentralized self-government:
A society with more direct and transparent democracy through DAOs and blockchain-based voting systems. Automated driving technology will remove barriers to mobility and facilitate greater public participation. Drones will also be used to monitor urban infrastructure and respond to disasters, enabling efficient urban management.
space economic circle:
This is an era of full-scale extraterrestrial economic activity, including commercial space travel, space resource development, and on-orbit manufacturing. Advances in automated driving technology will also be applied to advanced exploration vehicles on the Moon and Mars.
Smart Mobility Society:
The widespread use of automated driving and drone technologies will revolutionize the movement of people and goods. The widespread use of car sharing and automated cabs will change the concept of individual car ownership and revolutionize the way urban space is used. Furthermore, a society in which flying cabs and automated delivery drones are used on a daily basis will become a reality.

These changes are expected to have a profound impact on all aspects of our lifestyles, work, education, health care, and social systems. At the same time, new challenges are emerging, including privacy, security, ethics, and inequality. In order to maximize the benefits of technological advances while minimizing potential risks, it will be important to

Ongoing discussion on the ethical and social impact of technology and the development of an appropriate regulatory framework
Cultivate human resources capable of adapting to new technologies and reform the education system
Building a social system that allows people to enjoy the benefits of technology in an equitable manner
Address global challenges (climate change, pandemics, cybersecurity, etc.) through international collaboration
Ensure safety and promote social acceptance of automated driving and drone technologies

We are now living in the era of the most rapid technological innovation in human history. It is our important mission today to make wise use of these innovative technologies to build a sustainable and inclusive society of the future.

We hope this guide will help you understand rapidly changing technology trends and help you develop a vision for the society of the future. The evolution of technology is accelerating on a daily basis. It will be important for both individuals and society to keep abreast of the latest trends and prepare for the future with a flexible mindset.

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