• Cat-intel
  • MedIntelliX
  • Resources
  • About Us
  • Request Free Sample ×

    Kindly complete the form below to receive a free sample of this Report

    Leading companies partner with us for data-driven Insights

    clients tt-cursor

    Japan AI in Computer Vision Market

    ID: MRFR/ICT/57037-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    Japan AI in Computer Vision Market Research Report By Application (Healthcare, Automotive, Retail, Manufacturing, Security), By Technology (Deep Learning, Machine Learning, Image Processing, Pattern Recognition), By Component (Hardware, Software, Services) and By End Use (Consumer Electronics, Industrial, Aerospace and Defense, Transportation)- Forecast to 2035

    Share:
    Download PDF ×

    We do not share your information with anyone. However, we may send you emails based on your report interest from time to time. You may contact us at any time to opt-out.

    Japan AI in Computer Vision Market Research Report- Forecast to 2035 Infographic
    Purchase Options
    $ 4,950.0
    $ 5,950.0
    $ 7,250.0
    Table of Contents

    Japan AI in Computer Vision Market Summary

    The Japan AI in Computer Vision market is poised for substantial growth, expanding from 986.3 USD Million in 2024 to 5770 USD Million by 2035.

    Key Market Trends & Highlights

    Japan AI in Computer Vision Key Trends and Highlights

    • The market is projected to grow at a compound annual growth rate (CAGR) of 17.42% from 2025 to 2035.
    • By 2035, the market value is expected to reach 5770 USD Million, indicating a robust upward trajectory.
    • In 2024, the market is valued at 986.3 USD Million, reflecting the current investment landscape in AI technologies.
    • Growing adoption of AI technologies due to increasing demand for automation is a major market driver.

    Market Size & Forecast

    2024 Market Size 986.3 (USD Million)
    2035 Market Size 5770 (USD Million)
    CAGR (2025-2035) 17.42%

    Major Players

    Omron, NVIDIA, Preferred Networks, FocalSpec, CyberAgent, Deep Vision, Visional, NEC, Pixlab, Sony, Hitachi, Abeja, Cognex, Mynavi, Fujitsu

    Japan AI in Computer Vision Market Trends

    Japan's AI in computer-vision market is showing strong momentum, pushed both by new technology and rising demand from many fields. A growing focus on automation and efficiency has led manufacturing, healthcare, and retail companies to spend heavily on vision-based applications. Government support for digital transformation, most clearly seen in the Society 5.0 agenda, seeks to weave AI, big data, and the Internet of Things into daily life. At the same time, an aging population is expanding the use of AI in monitoring and care solutions, improving quality of life and easing pressure on the healthcare system.

    Companies now see broad openings to use artificial intelligence in facial recognition, quality checks on production lines, and smoother shopping journeys in stores. Partnerships between Japanese tech start-ups and universities keep pushing new ideas into the market and catching the attention of investors. 

    At the same time, interest in smart-city ventures is rising; here, AI-powered cameras and sensors play a vital role in running roads, utilities, and safety apps. Because so many Internet-of-Things gadgets are online, the need for instant data processing and interpretation keeps climbing.

    Together, these factors shape a distinctive and promising environment for growth in Japans computer-vision market, one that aligns closely with local social and industrial challenges.

    Japan AI in Computer Vision Market Drivers

    Market Segment Insights

    Japan AI in Computer Vision Market Segment Insights

    Japan AI in Computer Vision Market Segment Insights

    AI in Computer Vision Market Application Insights

    AI in Computer Vision Market Application Insights

    The Japan AI in Computer Vision Market is notably progressing in the Application segment, addressing a wide range of industrial needs across various sectors. The Healthcare sector has emerged as a key player, leveraging AI-driven computer vision technologies to enhance diagnostics, assist in medical imaging, and streamline patient monitoring processes. As Japan's population ages, the demand for such technologies is increasingly recognized, seeking to improve quality of life and healthcare outcomes. 

    In the Automotive sector, the integration of AI in computer vision is crucial for advancing autonomous driving systems and improving safety features through real-time object detection and recognition. The Retail industry is also significantly adopting computer vision applications, utilizing AI to enhance customer experience, manage inventory more effectively, and enable automated checkout solutions. This reflects a growing trend where retailers are merging physical shopping with digital innovations to attract a more tech-savvy consumer base.

    Additionally, the Manufacturing sector is leveraging AI in computer vision for quality assurance, predictive maintenance, and streamlined operations, which are vital in maintaining Japan's competitive edge in manufacturing excellence. 

    Safety and Security applications have become increasingly prominent as advancements in computer vision provide tools for enhanced surveillance, threat detection, and risk management. This heightened focus is essential in bolstering public safety and addressing increasing security concerns in urban environments. Overall, the Application segment is characterized by diverse adoption across industries, each utilizing AI in computer vision to address distinct challenges and enhance operational efficiencies, reflecting the dynamic nature of technology in Japan’s industrial landscape.

    AI in Computer Vision Market Technology Insights

    AI in Computer Vision Market Technology Insights

    The Japan AI in Computer Vision Market within the Technology segment is experiencing robust growth, supported by advancements in Deep Learning, Machine Learning, Image Processing, and Pattern Recognition. Deep Learning stands out by enhancing the accuracy and efficiency of image recognition tasks, which is significant for industries like automotive and healthcare, where precise visual analysis is critical for safety and medical diagnostics.

    Machine Learning complements these efforts by enabling systems to learn from data, adapt to new conditions, and improve performance over time.Image Processing is fundamental in pre-processing data for analysis, allowing for better feature extraction and analysis, which is crucial in applications such as facial recognition and surveillance. 

    Meanwhile, Pattern Recognition plays a significant role in identifying trends and anomalies within large datasets, which is vital for sectors like security and retail analytics. As Japan continues to innovate in technology, the integration of these subsets within the AI in Computer Vision Market presents immense opportunities for enhancing operational efficiencies and establishing new standards in various industries, thus driving substantial market growth.The increasing interest of the Japanese government in promoting AI technologies through initiatives and funding further supports the growth potential of these technologies in the region.

    AI in Computer Vision Market Component Insights

    AI in Computer Vision Market Component Insights

    The Japan AI in Computer Vision Market is experiencing robust growth, driven by the increasing adoption of technologies across various sectors. Within the Component segment, the market is primarily categorized into Hardware, Software, and Services. Hardware plays a crucial role by providing the necessary physical infrastructure to support advanced computer vision applications; this includes processors, sensors, and cameras, which are vital in industries such as manufacturing and security. 

    On the other hand, Software is central to processing visual data and implementing AI algorithms, enabling numerous applications from facial recognition to image analysis.Services are equally important as they include Consulting, Integration, and Support, which help companies maximize the value of their AI investments. The ongoing digital transformation in Japan and the rising demand for automation and efficiency are significant growth drivers, fostering innovation within each segment. However, challenges such as the high costs of implementation and the need for skilled personnel persist.

    Nevertheless, the pressing demand for intelligent systems signifies a promising landscape for the Japan AI in Computer Vision Market, presenting potential opportunities for players across all components.

    AI in Computer Vision Market End Use Insights

    AI in Computer Vision Market End Use Insights

    The Japan AI in Computer Vision Market focuses on various End Use applications that play a crucial role in driving advancements within the sector. The Consumer Electronics area has seen significant innovations, leveraging computer vision for enhanced user interactions, security, and smart device functionalities. In the Industrial domain, the integration of AI-powered computer vision aids in automating processes, leading to efficiency and accuracy in production lines. 

    The Aerospace and Defense segments utilize advanced visual recognition systems to enhance surveillance and operational effectiveness, making these sectors highly competitive and critical.Transportation also leverages AI in computer vision for vehicle automation, traffic management, and safety improvements, driving a transformative change in urban mobility. Each of these areas contributes uniquely to the market dynamics, showcasing diverse opportunities and growth potential, driven by Japan's commitment to integrating AI technologies across industries and its focus on innovation and modernization initiatives. The ongoing demand for smart solutions within these industries indicates a strong foundation for sustained market growth..

    Get more detailed insights about Japan AI in Computer Vision Market Research Report- Forecast to 2035

    Regional Insights

    Key Players and Competitive Insights

    The Japan AI in Computer Vision Market is characterized by a dynamic landscape that is heavily influenced by rapid technological advancements and innovative applications across various sectors. This market is witnessing substantial growth driven by increasing demand for advanced imaging solutions, automation in manufacturing, improved surveillance systems, and enhanced consumer experiences. Major players are continuously investing in research and development to create more effective and reliable computer vision solutions, leading to a competitive environment where efficiency, accuracy, and cost-effectiveness are paramount. 

    The industry's evolution is further accelerated by collaborations, partnerships, and strategic mergers, which empower companies to leverage complementary strengths and address diverse market needs.Omron is a formidable presence in the Japan AI in Computer Vision Market, recognized for its commitment to integrating artificial intelligence into automated systems and robotics. The company leverages its expertise in sensors and image processing technologies to enhance the functionality of its products in factories and production lines.

    Omron's strengths lie in its robust research and development capabilities, allowing it to innovate and deploy cutting-edge computer vision solutions tailored specifically for various industries such as automotive and electronics manufacturing. Its established reputation in the automation sector in Japan positions it well to capitalize on the increasing adoption of AI-powered visual inspection systems, enabling manufacturers to achieve greater efficiency and quality assurance.

    NVIDIA, a leader in the AI computing segment, holds a pivotal role in the Japan AI in Computer Vision Market, offering advanced technology and solutions that are critical for a variety of applications. The company is particularly recognized for its graphical processing units (GPUs) that streamline machine learning processes and enhance deep learning capabilities in computer vision tasks. NVIDIA excels in providing software frameworks and tools that facilitate the development of AI models, making it easier for Japanese enterprises to implement computer vision solutions across sectors such as retail, healthcare, and logistics. 

    Its strengths stem from its continual focus on innovation, as evidenced by several strategic partnerships and collaborations with local companies to foster innovation in AI applications. Additionally, NVIDIA has made significant strides in expanding its presence in Japan through targeted investments, allowing it to cater to the growing demand for AI-driven computer vision technologies across various industries.

    Key Companies in the Japan AI in Computer Vision Market market include

    Industry Developments

    Notably, in August 2023, NVIDIA unveiled advancements in AI software tailored for enterprise-level computer vision applications, aiming to enhance productivity in manufacturing and automation sectors in Japan. Concurrently, cybersecurity firm CyberAgent has been advancing its computer vision capabilities to improve surveillance and security measures.

    In another notable mention, in July 2023, NEC announced a partnership with Fujitsu to enhance their computer vision technologies, which aims to streamline operations within smart factories. There have been no major publicly reported mergers or acquisitions among the specified companies in the last few months. However, the focus on AI-driven solutions is reflected in the market's growing valuation, as companies like Sony and Hitachi expand their portfolio towards advanced visual recognition technologies.

    Over the last two to three years, from 2021 to 2023, Japan's emphasis on integrating AI into various sectors, including healthcare and manufacturing, has substantially accelerated the adoption of computer vision technologies.

    Market Segmentation

    AI in Computer Vision Market End Use Outlook

    • Consumer Electronics
    • Industrial
    • Aerospace and Defense
    • Transportation

    AI in Computer Vision Market Component Outlook

    • Hardware
    • Software
    • Services

    AI in Computer Vision Market Technology Outlook

    • Deep Learning
    • Machine Learning
    • Image Processing
    • Pattern Recognition

    AI in Computer Vision Market Application Outlook

    • Healthcare
    • Automotive
    • Retail
    • Manufacturing
    • Security

    Report Scope

     
    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 852.6(USD Million)
    MARKET SIZE 2024 986.3(USD Million)
    MARKET SIZE 2035 5770.0(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 17.42% (2025 - 2035)
    REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR 2024
    MARKET FORECAST PERIOD 2025 - 2035
    HISTORICAL DATA 2019 - 2024
    MARKET FORECAST UNITS USD Million
    KEY COMPANIES PROFILED Omron, NVIDIA, Preferred Networks, FocalSpec, CyberAgent, Deep Vision, Visional, NEC, Pixlab, Sony, Hitachi, Abeja, Cognex, Mynavi, Fujitsu
    SEGMENTS COVERED Application, Technology, Component, End Use
    KEY MARKET OPPORTUNITIES Autonomous vehicles development, Smart retail analytics, Healthcare imaging advancements, Robotics in manufacturing, Security surveillance enhancement
    KEY MARKET DYNAMICS Increasing demand for automation, Advancements in deep learning, Growing adoption in healthcare, Rising investment in R&D, Expansion of smart cities
    COUNTRIES COVERED Japan

    Market Highlights

    Author
    Aarti Dhapte
    Team Lead - Research

    She holds an experience of about 6+ years in Market Research and Business Consulting, working under the spectrum of Information Communication Technology, Telecommunications and Semiconductor domains. Aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. Her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

    Leave a Comment

    FAQs

    What is the current market size of the Japan AI in Computer Vision Market?

    In 2024, the Japan AI in Computer Vision Market is expected to be valued at 986.3 million USD.

    What will the market size be in 2035?

    By 2035, the Japan AI in Computer Vision Market is projected to reach a value of 5770.0 million USD.

    What is the expected CAGR for the Japan AI in Computer Vision Market from 2025 to 2035?

    The market is expected to grow at a CAGR of 17.42% during the forecast period from 2025 to 2035.

    Which application segment is expected to dominate the Japan AI in Computer Vision Market?

    The Healthcare application segment is expected to be valued at 250.0 million USD in 2024 and reach 1450.0 million USD in 2035.

    How large is the Automotive application segment in the market?

    The Automotive application segment is projected to be valued at 180.0 million USD in 2024 and grow to 1050.0 million USD by 2035.

    What are the expected values for the Retail application segment?

    In 2024, the Retail application is expected to be valued at 200.0 million USD and is projected to reach 1200.0 million USD by 2035.

    What market size does the Manufacturing application segment hold?

    The Manufacturing application segment is anticipated to be valued at 180.0 million USD in 2024, increasing to 950.0 million USD in 2035.

    What is the projected market size for the Security application segment by 2035?

    By 2035, the Security application segment is expected to grow to 1120.0 million USD from 176.3 million USD in 2024.

    Who are the key players in the Japan AI in Computer Vision Market?

    Major players in the market include Omron, NVIDIA, Preferred Networks, CyberAgent, and Sony among others.

    What are the growth drivers for the Japan AI in Computer Vision Market?

    Key growth drivers include advances in AI technologies and increasing demand across various sectors such as Healthcare and Automotive.

    1. EXECUTIVE
    2. SUMMARY
    3. Market Overview
    4. Key Findings
    5. Market Segmentation
    6. Competitive Landscape
    7. Challenges and Opportunities
    8. Future Outlook
    9. MARKET INTRODUCTION
    10. Definition
    11. Scope of the study
    12. Research Objective
    13. Assumption
    14. Limitations
    15. RESEARCH
    16. METHODOLOGY
    17. Overview
    18. Data
    19. Mining
    20. Secondary Research
    21. Primary
    22. Research
    23. Primary Interviews and Information Gathering
    24. Process
    25. Breakdown of Primary Respondents
    26. Forecasting
    27. Model
    28. Market Size Estimation
    29. Bottom-Up
    30. Approach
    31. Top-Down Approach
    32. Data
    33. Triangulation
    34. Validation
    35. MARKET
    36. DYNAMICS
    37. Overview
    38. Drivers
    39. Restraints
    40. Opportunities
    41. MARKET FACTOR ANALYSIS
    42. Value chain Analysis
    43. Porter's
    44. Five Forces Analysis
    45. Bargaining Power of Suppliers
    46. Bargaining
    47. Power of Buyers
    48. Threat of New Entrants
    49. Threat
    50. of Substitutes
    51. Intensity of Rivalry
    52. COVID-19
    53. Impact Analysis
    54. Market Impact Analysis
    55. Regional
    56. Impact
    57. Opportunity and Threat Analysis
    58. Japan
    59. AI in Computer Vision Market, BY Application (USD Million)
    60. Healthcare
    61. Automotive
    62. Retail
    63. Manufacturing
    64. Security
    65. Japan
    66. AI in Computer Vision Market, BY Technology (USD Million)
    67. Deep
    68. Learning
    69. Machine Learning
    70. Image
    71. Processing
    72. Pattern Recognition
    73. Japan
    74. AI in Computer Vision Market, BY Component (USD Million)
    75. Hardware
    76. Software
    77. Services
    78. Japan
    79. AI in Computer Vision Market, BY End Use (USD Million)
    80. Consumer
    81. Electronics
    82. Industrial
    83. Aerospace
    84. and Defense
    85. Transportation
    86. Competitive Landscape
    87. Overview
    88. Competitive
    89. Analysis
    90. Market share Analysis
    91. Major
    92. Growth Strategy in the AI in Computer Vision Market
    93. Competitive
    94. Benchmarking
    95. Leading Players in Terms of Number of Developments
    96. in the AI in Computer Vision Market
    97. Key developments
    98. and growth strategies
    99. New Product Launch/Service Deployment
    100. Merger
    101. & Acquisitions
    102. Joint Ventures
    103. Major
    104. Players Financial Matrix
    105. Sales and Operating Income
    106. Major
    107. Players R&D Expenditure. 2023
    108. Company
    109. Profiles
    110. Omron
    111. Financial
    112. Overview
    113. Products Offered
    114. Key
    115. Developments
    116. SWOT Analysis
    117. Key
    118. Strategies
    119. NVIDIA
    120. Financial
    121. Overview
    122. Products Offered
    123. Key
    124. Developments
    125. SWOT Analysis
    126. Key
    127. Strategies
    128. Preferred Networks
    129. Financial
    130. Overview
    131. Products Offered
    132. Key
    133. Developments
    134. SWOT Analysis
    135. Key
    136. Strategies
    137. FocalSpec
    138. Financial
    139. Overview
    140. Products Offered
    141. Key
    142. Developments
    143. SWOT Analysis
    144. Key
    145. Strategies
    146. CyberAgent
    147. Financial
    148. Overview
    149. Products Offered
    150. Key
    151. Developments
    152. SWOT Analysis
    153. Key
    154. Strategies
    155. Deep Vision
    156. Financial
    157. Overview
    158. Products Offered
    159. Key
    160. Developments
    161. SWOT Analysis
    162. Key
    163. Strategies
    164. Visional
    165. Financial
    166. Overview
    167. Products Offered
    168. Key
    169. Developments
    170. SWOT Analysis
    171. Key
    172. Strategies
    173. NEC
    174. Financial
    175. Overview
    176. Products Offered
    177. Key
    178. Developments
    179. SWOT Analysis
    180. Key
    181. Strategies
    182. Pixlab
    183. Financial
    184. Overview
    185. Products Offered
    186. Key
    187. Developments
    188. SWOT Analysis
    189. Key
    190. Strategies
    191. Sony
    192. Financial
    193. Overview
    194. Products Offered
    195. Key
    196. Developments
    197. SWOT Analysis
    198. Key
    199. Strategies
    200. Hitachi
    201. Financial
    202. Overview
    203. Products Offered
    204. Key
    205. Developments
    206. SWOT Analysis
    207. Key
    208. Strategies
    209. Abeja
    210. Financial
    211. Overview
    212. Products Offered
    213. Key
    214. Developments
    215. SWOT Analysis
    216. Key
    217. Strategies
    218. Cognex
    219. Financial
    220. Overview
    221. Products Offered
    222. Key
    223. Developments
    224. SWOT Analysis
    225. Key
    226. Strategies
    227. Mynavi
    228. Financial
    229. Overview
    230. Products Offered
    231. Key
    232. Developments
    233. SWOT Analysis
    234. Key
    235. Strategies
    236. Fujitsu
    237. Financial
    238. Overview
    239. Products Offered
    240. Key
    241. Developments
    242. SWOT Analysis
    243. Key
    244. Strategies
    245. References
    246. Related
    247. Reports
    248. LIST
    249. OF ASSUMPTIONS
    250. Japan AI in Computer Vision Market SIZE
    251. ESTIMATES & FORECAST, BY APPLICATION, 2019-2035 (USD Billions)
    252. Japan
    253. AI in Computer Vision Market SIZE ESTIMATES & FORECAST, BY TECHNOLOGY, 2019-2035
    254. (USD Billions)
    255. Japan AI in Computer Vision Market SIZE
    256. ESTIMATES & FORECAST, BY COMPONENT, 2019-2035 (USD Billions)
    257. Japan
    258. AI in Computer Vision Market SIZE ESTIMATES & FORECAST, BY END USE, 2019-2035
    259. (USD Billions)
    260. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    261. ACQUISITION/PARTNERSHIP
    262. LIST
    263. Of figures
    264. MARKET SYNOPSIS
    265. JAPAN
    266. AI IN COMPUTER VISION MARKET ANALYSIS BY APPLICATION
    267. JAPAN
    268. AI IN COMPUTER VISION MARKET ANALYSIS BY TECHNOLOGY
    269. JAPAN
    270. AI IN COMPUTER VISION MARKET ANALYSIS BY COMPONENT
    271. JAPAN
    272. AI IN COMPUTER VISION MARKET ANALYSIS BY END USE
    273. KEY
    274. BUYING CRITERIA OF AI IN COMPUTER VISION MARKET
    275. RESEARCH
    276. PROCESS OF MRFR
    277. DRO ANALYSIS OF AI IN COMPUTER VISION
    278. MARKET
    279. DRIVERS IMPACT ANALYSIS: AI IN COMPUTER VISION
    280. MARKET
    281. RESTRAINTS IMPACT ANALYSIS: AI IN COMPUTER VISION
    282. MARKET
    283. SUPPLY / VALUE CHAIN: AI IN COMPUTER VISION MARKET
    284. AI
    285. IN COMPUTER VISION MARKET, BY APPLICATION, 2025 (% SHARE)
    286. AI
    287. IN COMPUTER VISION MARKET, BY APPLICATION, 2019 TO 2035 (USD Billions)
    288. AI
    289. IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2025 (% SHARE)
    290. AI
    291. IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2019 TO 2035 (USD Billions)
    292. AI
    293. IN COMPUTER VISION MARKET, BY COMPONENT, 2025 (% SHARE)
    294. AI
    295. IN COMPUTER VISION MARKET, BY COMPONENT, 2019 TO 2035 (USD Billions)
    296. AI
    297. IN COMPUTER VISION MARKET, BY END USE, 2025 (% SHARE)
    298. AI
    299. IN COMPUTER VISION MARKET, BY END USE, 2019 TO 2035 (USD Billions)
    300. BENCHMARKING
    301. OF MAJOR COMPETITORS

    Japan AI in Computer Vision Market Segmentation

     

     

     

    • AI in Computer Vision Market By Application (USD Million, 2019-2035)

      • Healthcare
      • Automotive
      • Retail
      • Manufacturing
      • Security

     

    • AI in Computer Vision Market By Technology (USD Million, 2019-2035)

      • Deep Learning
      • Machine Learning
      • Image Processing
      • Pattern Recognition

     

    • AI in Computer Vision Market By Component (USD Million, 2019-2035)

      • Hardware
      • Software
      • Services

     

    • AI in Computer Vision Market By End Use (USD Million, 2019-2035)

      • Consumer Electronics
      • Industrial
      • Aerospace and Defense
      • Transportation

     

     

     

     

     

     

    Report Infographic
    Free Sample Request

    Kindly complete the form below to receive a free sample of this Report

    Customer Strories

    “I am very pleased with how market segments have been defined in a relevant way for my purposes (such as "Portable Freezers & refrigerators" and "last-mile"). In general the report is well structured. Thanks very much for your efforts.”

    Victoria Milne Founder
    Case Study

    Chemicals and Materials