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    South Korea AI in Computer Vision Market

    ID: MRFR/ICT/57035-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    South Korea 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

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    South Korea AI in Computer Vision Market Research Report- Forecast to 2035 Infographic
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    Table of Contents

    South Korea AI in Computer Vision Market Summary

    The South Korea AI in Computer Vision market is projected to grow from 493.1 million USD in 2024 to 2861 million USD by 2035, reflecting a robust growth trajectory.

    Key Market Trends & Highlights

    South Korea AI in Computer Vision Key Trends and Highlights

    • The market is expected to experience a compound annual growth rate (CAGR) of 17.33 percent from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 2861 million USD, indicating substantial expansion.
    • In 2024, the market is valued at 493.1 million USD, laying a strong foundation for future growth.
    • Growing adoption of AI technologies due to increased demand for automation is a major market driver.

    Market Size & Forecast

    2024 Market Size 493.1 (USD Million)
    2035 Market Size 2861 (USD Million)
    CAGR (2025-2035) 17.33%

    Major Players

    Samsung Electronics, AIRI, Robostar, Hanwha Techwin, DeepBrain, Pixel Health, Vuno, LG Electronics, Naver Corporation, Silo AI, Lunit, CureMetrix, Kakao Corp, Skwangmyeong

    South Korea AI in Computer Vision Market Trends

    In South Korea, the market for AI-powered computer vision is expanding quickly, fueled by faster hardware, better algorithms, and a growing push for automation in nearly every field. The national government has poured money into R&D, clearly viewing artificial intelligence as a backbone technology of the Fourth Industrial Revolution. Projects under the Digital New Deal aim to strengthen these capabilities further and to position the country at the front of the smart-tech race. Demand is being driven by new uses in health care, automotive design, and farming, where visual data analysis streamlines work and sharpens decision making.

    At the same time, local firms are crafting fresh tools that fuse AI with imaging technology to build more reliable security and surveillance networks.

    The South Korean government has placed autonomous vehicles and smart-city initiatives at the top of its agenda, creating a rich field for researchers and investors alike. Rapid population growth and increasing urban density are highlighting the urgent demand for intelligent parking systems and effective traffic controls. 

    Furthermore, partnerships between technology firms and universities are speeding up work in AI and computer-vision techniques, thus nurturing a lively innovation ecosystem. At the same time, the broader adoption of artificial intelligence on factory floors points toward the emergence of smart plants, in step with the nations goal of a cutting-edge economy.

    Within this environment, the local market eagerly adopts proven methods from abroad yet customizes them to address specific regional circumstances, reflecting a continually shifting and responsive business arena.

    South Korea AI in Computer Vision Market Drivers

    Market Segment Insights

    South Korea AI in Computer Vision Market Segment Insights

    South Korea AI in Computer Vision Market Segment Insights

    AI in Computer Vision Market Application Insights

    AI in Computer Vision Market Application Insights

    The South Korea AI in Computer Vision Market focuses heavily on various applications that showcase its versatility across distinct sectors. Healthcare has emerged as a vital area for growth, utilizing AI-driven computer vision for tasks such as medical imaging, disease detection, and patient monitoring, which streamline diagnostic processes and improve patient outcomes. 

    The automotive sector is rapidly evolving, with AI technologies enabling advanced driver-assistance systems that enhance road safety and pave the way for autonomous driving solutions.Retail is experiencing a transformation where computer vision enhances customer experience through personalized services, efficient inventory management, and automated checkout processes. Manufacturing is embracing AI in computer vision to optimize product quality through real-time monitoring and defect detection, resulting in operational efficiency and reduced costs. 

    Security applications are also crucial, utilizing computer vision for surveillance, threat detection, and facial recognition, enhancing safety measures across various environments.The synergy among these diverse applications is indicative of the market's robust growth trajectory, driven by technological advancements and increasing demand for AI solutions, ultimately shaping the future of industries in South Korea. 

    As various sectors adopt these technologies, the market holds significant opportunities for innovation and improvement, contributing to the overall expansion of the South Korea AI in Computer Vision Market. The collective value of these applications signifies their importance and impact on not just technological advancements but also the socio-economic landscape of South Korea.

    AI in Computer Vision Market Technology Insights

    AI in Computer Vision Market Technology Insights

    The South Korea AI in Computer Vision Market is experiencing significant growth driven by advancements in various technologies, including Deep Learning, Machine Learning, Image Processing, and Pattern Recognition. Deep Learning has emerged as a crucial area, enabling systems to interpret complex visual data and surpass traditional methods in accuracy and efficiency, making it highly relevant across sectors such as security and healthcare. Machine Learning complements this by providing algorithms that improve automatically through experience, ensuring real-time data analysis and adaptability to changing conditions.

    Meanwhile, Image Processing remains a fundamental technology, dealing with the enhancement and manipulation of images for better visual interpretation, which is essential in applications like autonomous vehicles and industrial inspections. Lastly, Pattern Recognition plays a vital role by allowing systems to identify patterns and anomalies within data, which is particularly important for predictive analysis and decision-making processes. The integration of these technologies fosters a robust ecosystem in South Korea that supports innovation and offers vast opportunities for growth, meeting the evolving demands of sectors reliant on visual data interpretation.

    AI in Computer Vision Market Component Insights

    AI in Computer Vision Market Component Insights

    The Component segment of the South Korea AI in Computer Vision Market encompasses Hardware, Software, and Services, each playing a critical role in the overall ecosystem. The Hardware aspect includes essential devices such as cameras, GPUs, and sensors, which are fundamental for effective data collection and processing in various applications, contributing to enhanced performance in industries like healthcare and automotive. On the other hand, Software empowers these hardware components through advanced algorithms and machine learning techniques that enable image recognition, object detection, and analysis, allowing businesses to leverage data for strategic decision-making.

    Additionally, the Services component is crucial as it encompasses consulting, integration, and maintenance, ensuring that organizations can effectively implement and utilize AI technologies. The South Korean government is actively supporting innovation in AI technologies through initiatives aimed at promoting research and development, driving the demand for sophisticated components that improve operational efficiencies. The increasing penetration of AI in sectors such as security, retail, and manufacturing underscores the significance of this Component segment, highlighting its vital role in the expansion of the South Korea AI in Computer Vision Market.

    AI in Computer Vision Market End Use Insights

    AI in Computer Vision Market End Use Insights

    The South Korea AI in Computer Vision Market has experienced notable growth, particularly across various end use areas such as Consumer Electronics, Industrial, Aerospace and Defense, and Transportation. The Consumer Electronics sector is thriving, with AI-driven solutions enhancing user experiences through features like facial recognition and augmented reality, making devices smarter and more interactive. The Industrial segment showcases significant advancements in automation and quality control, employing AI for real-time monitoring and predictive maintenance, which aids in improving operational efficiencies.

    In Aerospace and Defense, AI in computer vision applications enhances surveillance and reconnaissance capabilities, offering a critical edge in national security and operational effectiveness, attracting substantial investments and innovations in technology. Meanwhile, the Transportation sector is leveraging AI for intelligent traffic management, enhancing safety, and enabling advancements in autonomous vehicles, which align with South Korea's smart city initiatives.

    The interplay of these end use industries reflects a strong focus on innovation and efficiency, driven by a rapidly growing demand for AI-integrated solutions across multiple applications, ultimately contributing to the overall momentum of the South Korea AI in Computer Vision Market industry.

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

    Regional Insights

    Key Players and Competitive Insights

    The competitive landscape of the South Korea AI in Computer Vision Market is characterized by rapid advancements and a growing ecosystem of innovative companies that are aggressively pursuing technological leadership and market share. This market has witnessed a surge in demand for AI-driven solutions across various sectors, including healthcare, automotive, retail, and security. Factors such as increasing investments in research and development, coupled with government initiatives promoting AI technologies, have further stimulated competition among industry players.

    The emergence of start-ups and established enterprises alike has fueled the development of cutting-edge solutions, making South Korea a significant hub for AI in Computer Vision technology. As organizations strive to differentiate themselves, they are focusing on integrating deep learning, machine learning, and advanced imaging technologies to enhance their offerings.

    Samsung Electronics holds a prominent position in the South Korea AI in Computer Vision Market, leveraging its strong brand reputation and vast technological capabilities. The company has invested heavily in AI research and development, positioning itself at the forefront of innovation in this space. Samsung's strengths lie in its comprehensive portfolio, which includes a wide range of consumer and enterprise products that integrate advanced computer vision capabilities. By embedding AI technology into devices such as smartphones, cameras, and smart home appliances, Samsung has enhanced user experiences and efficiency across its product lines.

    Furthermore, the company has pursued strategic partnerships and collaborations with academic institutions and technology firms to bolster its AI research initiatives, thereby ensuring its continued leadership in the market.

    AIRI has also established a noteworthy presence in the South Korea AI in Computer Vision Market with a focus on delivering specialized solutions. The company’s primary offerings include AI-powered algorithms for image processing and analysis, which cater to various industries, including healthcare, surveillance, and retail. AIRI's strength in the market stems from its tailored approach, which emphasizes customization to meet specific customer needs and requirements in South Korea. With a solid foundation in machine learning technologies, AIRI has been able to rapidly adapt to evolving market trends and demands.

    Additionally, the company has pursued strategic mergers and acquisitions to broaden its capabilities and enhance its technological expertise. This proactive approach has not only strengthened AIRI's position in the market but has also facilitated the integration of its AI solutions into various applications, thus reinforcing its competitive advantage within the local environment.

    Key Companies in the South Korea AI in Computer Vision Market market include

    Industry Developments

    In October 2023, Hanwha Techwin announced the launch of groundbreaking video analytics solutions designed for smart cities, focusing on improving public safety and traffic management.

    Additionally, in August 2023, DeepBrain introduced an AI-powered medical imaging solution that aims to support healthcare professionals in diagnostic imaging, marking a substantial leap in the integration of AI in the medical sector.

    Notably, CureMetrix collaborated with Vuno in July 2023 to enhance mammography AI technology, thus improving breast cancer detection rates.

    While merger and acquisition activity has been relatively subdued in 2023, a notable merger occurred in May 2023 when Naver Corporation acquired a stake in a leading AI research firm, bolstering its AI capabilities. The market is projected to grow significantly, driven by increasing applications across various industries, including healthcare, security, and retail, spurred by the South Korean government’s push for advanced AI infrastructure and innovation funding.

    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 426.3(USD Million)
    MARKET SIZE 2024 493.15(USD Million)
    MARKET SIZE 2035 2861.0(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 17.331% (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 Samsung Electronics, AIRI, Robostar, Hanwha Techwin, DeepBrain, Pixel Health, Vuno, LG Electronics, Naver Corporation, Silo AI, Lunit, CureMetrix, Kakao Corp, Skwangmyeong
    SEGMENTS COVERED Application, Technology, Component, End Use
    KEY MARKET OPPORTUNITIES Automated quality inspection solutions, Smart retail analytics systems, Autonomous vehicle navigation technologies, Advanced security surveillance applications, Healthcare diagnostics and imaging analysis
    KEY MARKET DYNAMICS Technological advancements in AI, Growing demand for automation, Increasing investment in startups, Expansion of smart cities, Rising applications in healthcare
    COUNTRIES COVERED South Korea

    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.

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    FAQs

    What is the expected market size of South Korea's AI in Computer Vision Market in 2024?

    The expected market size of South Korea's AI in Computer Vision Market in 2024 is valued at 493.15 million USD.

    What is the projected market size for South Korea's AI in Computer Vision Market by 2035?

    By 2035, the South Korea AI in Computer Vision Market is projected to reach a value of 2861.0 million USD.

    What is the expected CAGR for South Korea's AI in Computer Vision Market from 2025 to 2035?

    The expected CAGR for the South Korea AI in Computer Vision Market from 2025 to 2035 is 17.331%.

    What are the key applications driving growth in South Korea's AI in Computer Vision Market?

    Key applications driving growth include healthcare, automotive, retail, manufacturing, and security.

    Which segment of the South Korea AI in Computer Vision Market has the highest projected value in 2035?

    The healthcare segment is projected to have the highest value at 427.44 million USD in 2035.

    Which key player holds a significant market share in South Korea's AI in Computer Vision Market?

    Samsung Electronics is one of the major players holding a significant market share in this market.

    What is the projected value of the automotive application in South Korea's AI in Computer Vision Market in 2035?

    The projected value of the automotive application in 2035 is approximately 563.15 million USD.

    What is the expected market value for the security application segment in 2024?

    The expected market value for the security application segment in 2024 is about 125.15 million USD.

    How does the retail segment's market size in 2035 compare to 2024?

    The retail segment is expected to grow from 100.0 million USD in 2024 to 570.95 million USD in 2035.

    What challenges does the South Korea AI in Computer Vision Market currently face?

    The market currently faces challenges like technological advancements and competition among key players.

    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. South
    59. Korea AI in Computer Vision Market, BY Application (USD Million)
    60. Healthcare
    61. Automotive
    62. Retail
    63. Manufacturing
    64. Security
    65. South
    66. Korea AI in Computer Vision Market, BY Technology (USD Million)
    67. Deep
    68. Learning
    69. Machine Learning
    70. Image
    71. Processing
    72. Pattern Recognition
    73. South
    74. Korea AI in Computer Vision Market, BY Component (USD Million)
    75. Hardware
    76. Software
    77. Services
    78. South
    79. Korea 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. Samsung Electronics
    111. Financial
    112. Overview
    113. Products Offered
    114. Key
    115. Developments
    116. SWOT Analysis
    117. Key
    118. Strategies
    119. AIRI
    120. Financial
    121. Overview
    122. Products Offered
    123. Key
    124. Developments
    125. SWOT Analysis
    126. Key
    127. Strategies
    128. Robostar
    129. Financial
    130. Overview
    131. Products Offered
    132. Key
    133. Developments
    134. SWOT Analysis
    135. Key
    136. Strategies
    137. Hanwha Techwin
    138. Financial
    139. Overview
    140. Products Offered
    141. Key
    142. Developments
    143. SWOT Analysis
    144. Key
    145. Strategies
    146. DeepBrain
    147. Financial
    148. Overview
    149. Products Offered
    150. Key
    151. Developments
    152. SWOT Analysis
    153. Key
    154. Strategies
    155. Pixel Health
    156. Financial
    157. Overview
    158. Products Offered
    159. Key
    160. Developments
    161. SWOT Analysis
    162. Key
    163. Strategies
    164. Vuno
    165. Financial
    166. Overview
    167. Products Offered
    168. Key
    169. Developments
    170. SWOT Analysis
    171. Key
    172. Strategies
    173. LG Electronics
    174. Financial
    175. Overview
    176. Products Offered
    177. Key
    178. Developments
    179. SWOT Analysis
    180. Key
    181. Strategies
    182. Naver Corporation
    183. Financial
    184. Overview
    185. Products Offered
    186. Key
    187. Developments
    188. SWOT Analysis
    189. Key
    190. Strategies
    191. Silo AI
    192. Financial
    193. Overview
    194. Products Offered
    195. Key
    196. Developments
    197. SWOT Analysis
    198. Key
    199. Strategies
    200. Lunit
    201. Financial
    202. Overview
    203. Products Offered
    204. Key
    205. Developments
    206. SWOT Analysis
    207. Key
    208. Strategies
    209. CureMetrix
    210. Financial
    211. Overview
    212. Products Offered
    213. Key
    214. Developments
    215. SWOT Analysis
    216. Key
    217. Strategies
    218. Kakao Corp
    219. Financial
    220. Overview
    221. Products Offered
    222. Key
    223. Developments
    224. SWOT Analysis
    225. Key
    226. Strategies
    227. Skwangmyeong
    228. Financial
    229. Overview
    230. Products Offered
    231. Key
    232. Developments
    233. SWOT Analysis
    234. Key
    235. Strategies
    236. References
    237. Related
    238. Reports
    239. LIST
    240. OF ASSUMPTIONS
    241. South Korea AI in Computer Vision Market
    242. SIZE ESTIMATES & FORECAST, BY APPLICATION, 2019-2035 (USD Billions)
    243. South
    244. Korea AI in Computer Vision Market SIZE ESTIMATES & FORECAST, BY TECHNOLOGY,
    245. 2035 (USD Billions)
    246. South Korea AI in Computer Vision
    247. Market SIZE ESTIMATES & FORECAST, BY COMPONENT, 2019-2035 (USD Billions)
    248. South
    249. Korea AI in Computer Vision Market SIZE ESTIMATES & FORECAST, BY END USE, 2019-2035
    250. (USD Billions)
    251. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    252. ACQUISITION/PARTNERSHIP
    253. LIST
    254. Of figures
    255. MARKET SYNOPSIS
    256. SOUTH
    257. KOREA AI IN COMPUTER VISION MARKET ANALYSIS BY APPLICATION
    258. SOUTH
    259. KOREA AI IN COMPUTER VISION MARKET ANALYSIS BY TECHNOLOGY
    260. SOUTH
    261. KOREA AI IN COMPUTER VISION MARKET ANALYSIS BY COMPONENT
    262. SOUTH
    263. KOREA AI IN COMPUTER VISION MARKET ANALYSIS BY END USE
    264. KEY
    265. BUYING CRITERIA OF AI IN COMPUTER VISION MARKET
    266. RESEARCH
    267. PROCESS OF MRFR
    268. DRO ANALYSIS OF AI IN COMPUTER VISION
    269. MARKET
    270. DRIVERS IMPACT ANALYSIS: AI IN COMPUTER VISION
    271. MARKET
    272. RESTRAINTS IMPACT ANALYSIS: AI IN COMPUTER VISION
    273. MARKET
    274. SUPPLY / VALUE CHAIN: AI IN COMPUTER VISION MARKET
    275. AI
    276. IN COMPUTER VISION MARKET, BY APPLICATION, 2025 (% SHARE)
    277. AI
    278. IN COMPUTER VISION MARKET, BY APPLICATION, 2019 TO 2035 (USD Billions)
    279. AI
    280. IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2025 (% SHARE)
    281. AI
    282. IN COMPUTER VISION MARKET, BY TECHNOLOGY, 2019 TO 2035 (USD Billions)
    283. AI
    284. IN COMPUTER VISION MARKET, BY COMPONENT, 2025 (% SHARE)
    285. AI
    286. IN COMPUTER VISION MARKET, BY COMPONENT, 2019 TO 2035 (USD Billions)
    287. AI
    288. IN COMPUTER VISION MARKET, BY END USE, 2025 (% SHARE)
    289. AI
    290. IN COMPUTER VISION MARKET, BY END USE, 2019 TO 2035 (USD Billions)
    291. BENCHMARKING
    292. OF MAJOR COMPETITORS

    South Korea 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

     

     

     

     

     

     

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