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    South Korea Artificial Intelligence in Manufacturing Market

    ID: MRFR/ICT/56591-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    South Korea Artificial Intelligence AI in Manufacturing Market Research Report By Application (Predictive Maintenance, Quality Control, Supply Chain Management, Robotics, Production Planning), By Technology (Machine Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, Deep Learning), By Deployment Type (On-Premise, Cloud, Hybrid) and By End Use Industry (Automotive, Electronics, Aerospace, Food and Beverage, Pharmaceuticals)- Forecast to 2035

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    South Korea Artificial Intelligence (AI) in Manufacturing Market Research Report- Forecast to 2035 Infographic
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    Table of Contents

    South Korea Artificial Intelligence in Manufacturing Market Summary

    The South Korea Artificial Intelligence in Manufacturing market is projected to grow significantly from 3.5 USD Billion in 2024 to 12.5 USD Billion by 2035.

    Key Market Trends & Highlights

    South Korea Artificial Intelligence AI in Manufacturing Key Trends and Highlights

    • The market is expected to experience a compound annual growth rate (CAGR) of 12.27% from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 12.5 USD Billion, indicating robust growth potential.
    • In 2024, the market is valued at 3.5 USD Billion, reflecting the current investment landscape in AI technologies.
    • Growing adoption of AI technologies due to increased efficiency and productivity demands is a major market driver.

    Market Size & Forecast

    2024 Market Size 3.5 (USD Billion)
    2035 Market Size 12.5 (USD Billion)
    CAGR (2025 - 2035) 12.27%

    Major Players

    Apple Inc (US), Microsoft Corp (US), Amazon.com Inc (US), Alphabet Inc (US), Berkshire Hathaway Inc (US), Tesla Inc (US), Meta Platforms Inc (US), Johnson & Johnson (US), Visa Inc (US), Procter & Gamble Co (US)

    South Korea Artificial Intelligence in Manufacturing Market Trends

    The adoption of artificial intelligence AI in manufacturing is progressively motivated in South Korea by the need for improved efficiency and innovation. Strongly technologically and automated, the nation's industrial industry is using artificial intelligence solutions to simplify processes and raise product quality. Government projects that give digital transformation first priority—like the "Manufacturing Innovation 3.0" strategy meant to improve the industrial scene with sophisticated technologies—are driving this change. Predictive maintenance enabled by artificial intelligence is becoming more popular and allows manufacturers to decrease downtime and forecast equipment problems.

    Alongside this, companies are looking at artificial intelligence for supply chain optimization, using data analysis to improve decision-making and responsiveness to market needs. Companies have chances to maximize modern robots and machine learning, thereby supporting South Korea's leadership in tech-driven manufacturing. Furthermore, cooperation between academia and business in South Korea is encouraging creativity in artificial intelligence systems meant for industrial use. 

    These alliances will result in the creation of fresh artificial intelligence solutions tackling certain industry problems. The flood of artificial intelligence technology is projected to improve productivity and support sustainable practices as South Korean industries want to stay competitive globally, therefore enabling a more resilient manufacturing environment.This will constantly change the AI scene in the sector and provide the industrial sector of South Korea with a strong future.

    The integration of artificial intelligence in manufacturing processes is poised to enhance productivity and innovation, reflecting South Korea's commitment to becoming a leader in advanced manufacturing technologies.

    Ministry of Trade, Industry and Energy, South Korea

    South Korea Artificial Intelligence in Manufacturing Market Drivers

    Rising Labor Costs

    Rising labor costs are compelling manufacturers to explore AI solutions, thereby driving the Global South Korea Artificial Intelligence AI in Manufacturing Market Industry. As wages continue to increase, companies are incentivized to invest in AI technologies that can automate repetitive tasks and enhance operational efficiency. For instance, AI systems can optimize supply chain management and inventory control, leading to reduced operational costs. This shift towards AI adoption is likely to accelerate market growth, as manufacturers seek to maintain competitiveness in an evolving economic landscape.

    Government Initiatives

    Government initiatives play a crucial role in fostering the Global South Korea Artificial Intelligence AI in Manufacturing Market Industry. The South Korean government has launched various programs aimed at promoting AI adoption in manufacturing sectors. These initiatives include funding for research and development, tax incentives for companies investing in AI technologies, and the establishment of innovation hubs. Such support is likely to stimulate market growth, with projections indicating a market size of 12.5 USD Billion by 2035. This proactive approach underscores the government's commitment to positioning South Korea as a leader in AI-driven manufacturing.

    Market Growth Projections

    The Global South Korea Artificial Intelligence AI in Manufacturing Market Industry is characterized by robust growth projections. With an anticipated market size of 3.5 USD Billion in 2024, the industry is set to expand significantly over the next decade. The forecasted CAGR of 12.27 percent from 2025 to 2035 indicates a strong upward trajectory, reflecting the increasing adoption of AI technologies across various manufacturing sectors. This growth is likely to be driven by factors such as technological advancements, government support, and rising demand for automation.

    Technological Advancements

    The Global South Korea Artificial Intelligence AI in Manufacturing Market Industry is propelled by rapid technological advancements. Innovations in machine learning, computer vision, and robotics are transforming traditional manufacturing processes. For instance, companies are increasingly adopting AI-driven predictive maintenance systems, which can reduce downtime by up to 30 percent. This shift not only enhances operational efficiency but also leads to significant cost savings. As a result, the market is projected to reach 3.5 USD Billion in 2024, reflecting the growing integration of AI technologies in manufacturing operations.

    Global Competitive Pressure

    The Global South Korea Artificial Intelligence AI in Manufacturing Market Industry is influenced by competitive pressures from global markets. South Korean manufacturers are increasingly facing competition from countries that are rapidly adopting AI technologies. To maintain their competitive edge, companies are investing in AI-driven innovations that enhance product quality and reduce time-to-market. This competitive landscape is expected to drive significant investments in AI solutions, further propelling the market towards its projected growth of 12.5 USD Billion by 2035.

    Increased Demand for Automation

    The demand for automation in manufacturing is a significant driver of the Global South Korea Artificial Intelligence AI in Manufacturing Market Industry. As industries seek to enhance productivity and reduce labor costs, AI technologies are increasingly being integrated into manufacturing processes. For example, AI-powered robots are being utilized for assembly lines, resulting in higher precision and efficiency. This trend is expected to contribute to a compound annual growth rate (CAGR) of 12.27 percent from 2025 to 2035, indicating a robust growth trajectory for the market as automation becomes a standard practice.

    Market Segment Insights

    Get more detailed insights about South Korea Artificial Intelligence (AI) in Manufacturing Market Research Report- Forecast to 2035

    Regional Insights

    Key Players and Competitive Insights

    The South Korea Artificial Intelligence (AI) in Manufacturing market is experiencing significant growth driven by advancements in technology and increasing demand for automation, efficiency, and improved productivity across various industrial sectors. Companies are increasingly leveraging AI technologies to enhance their manufacturing processes, optimize supply chains, and improve product quality. The competitive landscape is fueled by a mix of local players and global technology firms, each striving to capitalize on the opportunities that AI presents in manufacturing.

    As firms aim to remain competitive in both domestic and international markets, the integration of AI technologies becomes pivotal, emphasizing the importance of innovation and technological adoption.

    SK Telecom has firmly established itself in the South Korean Artificial Intelligence in Manufacturing market, leveraging its strong technological capabilities and extensive experience in telecommunications. The company's commitment to innovation is underscored by its investments in AI research and development, allowing SK Telecom to deliver tailored solutions that meet the specific needs of the manufacturing sector. The company has developed various AI-driven products that enhance operational efficiency, such as predictive maintenance solutions and intelligent automation systems. 

    Additionally, SK Telecom maintains a robust collaboration network with local manufacturers and research institutions, facilitating the implementation of AI technologies in real-world settings. This strong market presence and commitment to R&D position SK Telecom as a pivotal player in advancing AI in South Korea’s manufacturing landscape.KT Corporation is another key player in the South Korean Artificial Intelligence in Manufacturing market, recognized for its strategic focus on integrating AI technologies into industrial processes.

    With an extensive portfolio of solutions that includes AI-driven analytics, robotics, and IoT integration, KT Corporation offers manufacturers the tools to transform their operations and respond effectively to changing market demands. 

    The company's strengths lie in its strong partnerships and collaborations with various industries, fostering innovation through co-development initiatives. KT Corporation has also made strategic acquisitions to bolster its AI capabilities, enabling it to remain competitive in delivering advanced manufacturing solutions. Its emphasis on developing smart factories and digital transformation initiatives positions KT Corporation as a leader in driving AI adoption in South Korea’s manufacturing environment.

    Key Companies in the South Korea Artificial Intelligence in Manufacturing Market market include

    Industry Developments

    Recent developments in the South Korea Artificial Intelligence AI in Manufacturing Market showcase significant advancements and collaborations among key players. SK Telecom and KT Corporation are driving digital transformation initiatives that leverage AI technologies to optimize manufacturing processes and enhance operational efficiency. In September 2023, Hyundai Motor announced a partnership with LG Electronics to develop autonomous production systems that integrate AI and robotics, boosting productivity in manufacturing facilities. 

    Additionally, in August 2023, POSCO launched an AI-driven smart factory initiative aimed at reducing environmental impact while increasing output. The market has experienced notable growth, with Hynix reporting a 15% increase in production efficiency due to AI-powered analytics over the past year. Daewoo Engineering & Construction's implementation of AI in project management has been recognized for minimizing delays and improving resource allocation. 

    There were significant mergers, including NCSOFT's acquisition of a data analytics startup in October 2023, enhancing its capabilities in AI-driven manufacturing solutions. Overall, the South Korean government is actively supporting these initiatives to promote innovation and competitiveness in the AI landscape.

    Future Outlook

    South Korea Artificial Intelligence in Manufacturing Market Future Outlook

    The South Korea Artificial Intelligence AI in Manufacturing Market is projected to grow at a 12.27% CAGR from 2024 to 2035, driven by automation, data analytics, and enhanced productivity.

    New opportunities lie in:

    • Invest in AI-driven predictive maintenance solutions to reduce downtime and operational costs.
    • Develop customized AI applications for supply chain optimization to enhance efficiency.
    • Leverage AI for quality control processes to improve product consistency and reduce waste.

    By 2035, the market is expected to be a pivotal force in transforming manufacturing efficiency and innovation.

    Market Segmentation

    Artificial Intelligence AI in Manufacturing Market Technology Outlook

    • Machine Learning
    • Natural Language Processing
    • Computer Vision
    • Robotic Process Automation
    • Deep Learning

    Artificial Intelligence AI in Manufacturing Market Application Outlook

    • Predictive Maintenance
    • Quality Control
    • Supply Chain Management
    • Robotics
    • Production Planning

    Artificial Intelligence AI in Manufacturing Market Deployment Type Outlook

    • On-Premise
    • Cloud
    • Hybrid

    Artificial Intelligence AI in Manufacturing Market End Use Industry Outlook

    • Automotive
    • Electronics
    • Aerospace
    • Food and Beverage
    • Pharmaceuticals

    Report Scope

     
    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 103.25(USD Million)
    MARKET SIZE 2024 122.5(USD Million)
    MARKET SIZE 2035 787.5(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 18.431% (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 SK Telecom, KT Corporation, Daewoo Engineering & Construction, Hyundai Motor, CJ Corporation, NCSOFT, Samsung Electronics, Kakao, Naver, Doosan, Hynix, LS Group, LG Electronics, POSCO, Hanwha Group
    SEGMENTS COVERED Application, Technology, Deployment Type, End Use Industry
    KEY MARKET OPPORTUNITIES Automation of production processes, Predictive maintenance solutions, Quality control enhancements, Supply chain optimization tools, Workforce training and upskilling
    KEY MARKET DYNAMICS Rising automation demand, Advanced data analytics, Government support initiatives, Industry 4.0 integration, Skilled workforce scarcity
    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 the South Korea Artificial Intelligence AI in Manufacturing Market in 2024?

    The market is expected to be valued at 122.5 million USD in 2024.

    What is the projected market size for the South Korea Artificial Intelligence AI in Manufacturing Market by 2035?

    By 2035, the market is projected to reach 787.5 million USD.

    What is the expected CAGR for the South Korea Artificial Intelligence AI in Manufacturing Market from 2025 to 2035?

    The expected CAGR for the market during this period is 18.431 percent.

    Which application in the South Korea Artificial Intelligence AI in Manufacturing Market has the largest market value in 2024?

    Predictive Maintenance holds the largest market value at 30.5 million USD in 2024.

    How much will the Quality Control application in the South Korea Artificial Intelligence AI in Manufacturing Market be worth by 2035?

    Quality Control is projected to be valued at 165.0 million USD by 2035.

    Who are the major key players in the South Korea Artificial Intelligence AI in Manufacturing Market?

    Key players include SK Telecom, KT Corporation, Daewoo Engineering & Construction, and Hyundai Motor among others.

    What will be the market value of Robotics in the South Korea Artificial Intelligence AI in Manufacturing Market in 2035?

    Robotics is expected to reach a market value of 194.5 million USD by 2035.

    What is the projected worth of Supply Chain Management in the South Korea Artificial Intelligence AI in Manufacturing Market in 2024?

    Supply Chain Management is valued at 22.0 million USD in 2024.

    What are the growth drivers for the South Korea Artificial Intelligence AI in Manufacturing Market?

    Key growth drivers include increased automation and the need for efficiency in manufacturing processes.

    How much is the Production Planning application projected to be worth by 2035?

    Production Planning is expected to be valued at 114.8 million USD by 2035.

    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 Artificial Intelligence AI in Manufacturing Market, BY Application (USD Million)
    60. Predictive Maintenance
    61. Quality
    62. Control
    63. Supply Chain Management
    64. Robotics
    65. Production
    66. Planning
    67. South Korea Artificial
    68. Intelligence AI in Manufacturing Market, BY Technology (USD Million)
    69. Machine
    70. Learning
    71. Natural Language Processing
    72. Computer
    73. Vision
    74. Robotic Process Automation
    75. Deep
    76. Learning
    77. South Korea Artificial
    78. Intelligence AI in Manufacturing Market, BY Deployment Type (USD Million)
    79. On-Premise
    80. Cloud
    81. Hybrid
    82. South
    83. Korea Artificial Intelligence AI in Manufacturing Market, BY End Use Industry (USD
    84. Million)
    85. Automotive
    86. Electronics
    87. Aerospace
    88. Food
    89. and Beverage
    90. Pharmaceuticals
    91. Competitive Landscape
    92. Overview
    93. Competitive
    94. Analysis
    95. Market share Analysis
    96. Major
    97. Growth Strategy in the Artificial Intelligence AI in Manufacturing Market
    98. Competitive
    99. Benchmarking
    100. Leading Players in Terms of Number of Developments
    101. in the Artificial Intelligence AI in Manufacturing Market
    102. Key
    103. developments and growth strategies
    104. New Product Launch/Service
    105. Deployment
    106. Merger & Acquisitions
    107. Joint
    108. Ventures
    109. Major Players Financial Matrix
    110. Sales
    111. and Operating Income
    112. Major Players R&D Expenditure.
    113. Company
    114. Profiles
    115. SK Telecom
    116. Financial
    117. Overview
    118. Products Offered
    119. Key
    120. Developments
    121. SWOT Analysis
    122. Key
    123. Strategies
    124. KT Corporation
    125. Financial
    126. Overview
    127. Products Offered
    128. Key
    129. Developments
    130. SWOT Analysis
    131. Key
    132. Strategies
    133. Daewoo Engineering &
    134. Construction
    135. Financial Overview
    136. Products
    137. Offered
    138. Key Developments
    139. SWOT
    140. Analysis
    141. Key Strategies
    142. Hyundai
    143. Motor
    144. Financial Overview
    145. Products
    146. Offered
    147. Key Developments
    148. SWOT
    149. Analysis
    150. Key Strategies
    151. CJ
    152. Corporation
    153. Financial Overview
    154. Products
    155. Offered
    156. Key Developments
    157. SWOT
    158. Analysis
    159. Key Strategies
    160. NCSOFT
    161. Financial
    162. Overview
    163. Products Offered
    164. Key
    165. Developments
    166. SWOT Analysis
    167. Key
    168. Strategies
    169. Samsung Electronics
    170. Financial
    171. Overview
    172. Products Offered
    173. Key
    174. Developments
    175. SWOT Analysis
    176. Key
    177. Strategies
    178. Kakao
    179. Financial
    180. Overview
    181. Products Offered
    182. Key
    183. Developments
    184. SWOT Analysis
    185. Key
    186. Strategies
    187. Naver
    188. Financial
    189. Overview
    190. Products Offered
    191. Key
    192. Developments
    193. SWOT Analysis
    194. Key
    195. Strategies
    196. Doosan
    197. Financial
    198. Overview
    199. Products Offered
    200. Key
    201. Developments
    202. SWOT Analysis
    203. Key
    204. Strategies
    205. Hynix
    206. Financial
    207. Overview
    208. Products Offered
    209. Key
    210. Developments
    211. SWOT Analysis
    212. Key
    213. Strategies
    214. LS Group
    215. Financial
    216. Overview
    217. Products Offered
    218. Key
    219. Developments
    220. SWOT Analysis
    221. Key
    222. Strategies
    223. LG Electronics
    224. Financial
    225. Overview
    226. Products Offered
    227. Key
    228. Developments
    229. SWOT Analysis
    230. Key
    231. Strategies
    232. POSCO
    233. Financial
    234. Overview
    235. Products Offered
    236. Key
    237. Developments
    238. SWOT Analysis
    239. Key
    240. Strategies
    241. Hanwha Group
    242. Financial
    243. Overview
    244. Products Offered
    245. Key
    246. Developments
    247. SWOT Analysis
    248. Key
    249. Strategies
    250. References
    251. Related
    252. Reports
    253. LIST
    254. OF ASSUMPTIONS
    255. South Korea Artificial Intelligence AI
    256. in Manufacturing Market SIZE ESTIMATES & FORECAST, BY APPLICATION, 2019-2035
    257. (USD Billions)
    258. South Korea Artificial Intelligence AI
    259. in Manufacturing Market SIZE ESTIMATES & FORECAST, BY TECHNOLOGY, 2019-2035
    260. (USD Billions)
    261. South Korea Artificial Intelligence AI
    262. in Manufacturing Market SIZE ESTIMATES & FORECAST, BY DEPLOYMENT TYPE, 2019-2035
    263. (USD Billions)
    264. South Korea Artificial Intelligence AI
    265. in Manufacturing Market SIZE ESTIMATES & FORECAST, BY END USE INDUSTRY, 2019-2035
    266. (USD Billions)
    267. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    268. ACQUISITION/PARTNERSHIP
    269. LIST
    270. Of figures
    271. MARKET SYNOPSIS
    272. SOUTH
    273. KOREA ARTIFICIAL INTELLIGENCE AI IN MANUFACTURING MARKET ANALYSIS BY APPLICATION
    274. SOUTH
    275. KOREA ARTIFICIAL INTELLIGENCE AI IN MANUFACTURING MARKET ANALYSIS BY TECHNOLOGY
    276. SOUTH
    277. KOREA ARTIFICIAL INTELLIGENCE AI IN MANUFACTURING MARKET ANALYSIS BY DEPLOYMENT
    278. TYPE
    279. SOUTH KOREA ARTIFICIAL INTELLIGENCE AI IN MANUFACTURING
    280. MARKET ANALYSIS BY END USE INDUSTRY
    281. KEY BUYING CRITERIA
    282. OF ARTIFICIAL INTELLIGENCE AI IN MANUFACTURING MARKET
    283. RESEARCH
    284. PROCESS OF MRFR
    285. DRO ANALYSIS OF ARTIFICIAL INTELLIGENCE
    286. AI IN MANUFACTURING MARKET
    287. DRIVERS IMPACT ANALYSIS: ARTIFICIAL
    288. INTELLIGENCE AI IN MANUFACTURING MARKET
    289. RESTRAINTS IMPACT
    290. ANALYSIS: ARTIFICIAL INTELLIGENCE AI IN MANUFACTURING MARKET
    291. SUPPLY
    292. / VALUE CHAIN: ARTIFICIAL INTELLIGENCE AI IN MANUFACTURING MARKET
    293. ARTIFICIAL
    294. INTELLIGENCE AI IN MANUFACTURING MARKET, BY APPLICATION, 2025 (% SHARE)
    295. ARTIFICIAL
    296. INTELLIGENCE AI IN MANUFACTURING MARKET, BY APPLICATION, 2019 TO 2035 (USD Billions)
    297. ARTIFICIAL
    298. INTELLIGENCE AI IN MANUFACTURING MARKET, BY TECHNOLOGY, 2025 (% SHARE)
    299. ARTIFICIAL
    300. INTELLIGENCE AI IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019 TO 2035 (USD Billions)
    301. ARTIFICIAL
    302. INTELLIGENCE AI IN MANUFACTURING MARKET, BY DEPLOYMENT TYPE, 2025 (% SHARE)
    303. ARTIFICIAL
    304. INTELLIGENCE AI IN MANUFACTURING MARKET, BY DEPLOYMENT TYPE, 2019 TO 2035 (USD Billions)
    305. ARTIFICIAL
    306. INTELLIGENCE AI IN MANUFACTURING MARKET, BY END USE INDUSTRY, 2025 (% SHARE)
    307. ARTIFICIAL
    308. INTELLIGENCE AI IN MANUFACTURING MARKET, BY END USE INDUSTRY, 2019 TO 2035 (USD
    309. Billions)
    310. BENCHMARKING OF MAJOR COMPETITORS

    South Korea Artificial Intelligence AI in Manufacturing Market Segmentation

     

     

     

    • Artificial Intelligence AI in Manufacturing Market By Application (USD Million, 2019-2035)

      • Predictive Maintenance
      • Quality Control
      • Supply Chain Management
      • Robotics
      • Production Planning

     

    • Artificial Intelligence AI in Manufacturing Market By Technology (USD Million, 2019-2035)

      • Machine Learning
      • Natural Language Processing
      • Computer Vision
      • Robotic Process Automation
      • Deep Learning

     

    • Artificial Intelligence AI in Manufacturing Market By Deployment Type (USD Million, 2019-2035)

      • On-Premise
      • Cloud
      • Hybrid

     

    • Artificial Intelligence AI in Manufacturing Market By End Use Industry (USD Million, 2019-2035)

      • Automotive
      • Electronics
      • Aerospace
      • Food and Beverage
      • Pharmaceuticals

     

     

     

     

     

     

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