Global Embedded AI Market

Embedded AI Comprehensive Study by Technology (Machine Learning, Computer vision, Natural language processing (NLP), Speech Recognition, Others), Component (Hardware ( Processors, Memory Units, AI Accelerators, Others), Software ( Edge Computing Platforms, AI & ML Framework, AI Middleware, Others), Service), End User (Automotive, Healthcare, Manufacturing, Banking & Finance, Agriculture, Education, Others) Players and Region - Global Market Outlook to 2030

Embedded AI Market by XX Submarkets | Forecast Years 2024-2030 | CAGR: 14.25%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Embedded AI
Embedded AI, also known as Embedded Artificial Intelligence (EAI), is a general-purpose framework system for AI functions. It is built into network devices and provides common model management, data obtaining, and data pre-processing functions for AI algorithm-based functions for these devices. In addition, it supports the function to send inference results to AI algorithm-based functions. This fully utilizes the sample data and computing capabilities of devices, while offering advantages such as lower data transmission costs, as well as ensured data security and real-time inferencing and decision-making.

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Million)
CAGR14.25%


Competition among existing players is due to the Embedded AI market share occupied by leading players. The industry leader is engaged in offering innovative and superior quality products to cater to the ever-growing demand for Embedded AI market. The companies are implementing strategic activities such as acquisitions and mergers along with collaboration with companies in other industries to aid them in improving sustenance and maintaining their competitive advantage. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Embedded AI market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

NVIDIA Corporation (United States), Intel Corporation (United States), Qualcomm Technologies (United States), Google LLC (United States), Microsoft Corporation (United States), IBM Corporation (United States), AWS (United States), Ascent (Germany), Oracle Corporation (United States), Salesforce Inc. (United States) and Siemens AG (Germany) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are Riskified (United States), DataRobot (United States), Cognex Corporation (United States) and Others.

Segmentation Overview
AMA Research has segmented the market of Global Embedded AI market by and Region.



On the basis of geography, the market of Embedded AI has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Technology, the sub-segment i.e. Machine Learning will boost the Embedded AI market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component, the sub-segment i.e. Hardware ( Processors, Memory Units, AI Accelerators, Others) will boost the Embedded AI market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End User, the sub-segment i.e. Automotive will boost the Embedded AI market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Increased Integration with IoT devices to enable real-time data processing and decision-making. and Increasing focus on energy efficiency and sustainability.

Market Growth Drivers:
Increase in demand for energy-efficient and powerful processors. and Increasing need for autonomous, intelligent systems to provide an individualized experience.

Challenges:
Limited computational resources, such as processing power and memory.

Restraints:
Insufficient computing power and model optimization. and Cyber threats and security breaches.

Opportunities:
The creation of 5G-based embedded devices. and Advancements in AI algorithms, low-power hardware, and secure computing.

Market Leaders and their expansionary development strategies
In Jun 2023, IBM announced an agreement to acquire Apptio Inc., a leader in financial and operational IT management and optimization (FinOps) software. The acquisition of Apptio has speed up the development of IBM's IT automation capabilities and give business executives the ability to maximize the return on their technological investments by combining Apptio's offerings combined with IBM's IT automation software.
In June 2023, Cognex Corporation has announced the launch of the Advantage 182 vision system designed to automate complex location, classification, and inspection tasks. This all-in-one vision system includes advanced machine vision, barcode reading, and edge learning technology to automate a variety of tasks from simple presence/absence detection and track-and-trace applications to high-precision alignment and complex color inspections.


Key Target Audience
Manufacturers Suppliers and Distributors, Venture Capitalists and Private Equity Firms, New Entrants/Investors, Strategic Business Planners, Government Regulatory, Research Organizations, End-Use Industries and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Technology
  • Machine Learning
  • Computer vision
  • Natural language processing (NLP)
  • Speech Recognition
  • Others

By Component
  • Hardware ( Processors, Memory Units, AI Accelerators, Others)
  • Software ( Edge Computing Platforms, AI & ML Framework, AI Middleware, Others)
  • Service

By End User
  • Automotive
  • Healthcare
  • Manufacturing
  • Banking & Finance
  • Agriculture
  • Education
  • Others

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increase in demand for energy-efficient and powerful processors.
      • 3.2.2. Increasing need for autonomous, intelligent systems to provide an individualized experience.
    • 3.3. Market Challenges
      • 3.3.1. Limited computational resources, such as processing power and memory.
    • 3.4. Market Trends
      • 3.4.1. Increased Integration with IoT devices to enable real-time data processing and decision-making.
      • 3.4.2. Increasing focus on energy efficiency and sustainability.
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Embedded AI, by Technology, Component, End User and Region (value) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Embedded AI (Value)
      • 5.2.1. Global Embedded AI by: Technology (Value)
        • 5.2.1.1. Machine Learning
        • 5.2.1.2. Computer vision
        • 5.2.1.3. Natural language processing (NLP)
        • 5.2.1.4. Speech Recognition
        • 5.2.1.5. Others
      • 5.2.2. Global Embedded AI by: Component (Value)
        • 5.2.2.1. Hardware ( Processors, Memory Units, AI Accelerators, Others)
        • 5.2.2.2. Software ( Edge Computing Platforms, AI & ML Framework, AI Middleware, Others)
        • 5.2.2.3. Service
      • 5.2.3. Global Embedded AI by: End User (Value)
        • 5.2.3.1. Automotive
        • 5.2.3.2. Healthcare
        • 5.2.3.3. Manufacturing
        • 5.2.3.4. Banking & Finance
        • 5.2.3.5. Agriculture
        • 5.2.3.6. Education
        • 5.2.3.7. Others
      • 5.2.4. Global Embedded AI Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Embedded AI: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. NVIDIA Corporation (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Intel Corporation (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Qualcomm Technologies (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Google LLC (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Microsoft Corporation (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. IBM Corporation (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. AWS (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Ascent (Germany)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Oracle Corporation (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Salesforce Inc. (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Siemens AG (Germany)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
  • 7. Global Embedded AI Sale, by Technology, Component, End User and Region (value) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Embedded AI (Value)
      • 7.2.1. Global Embedded AI by: Technology (Value)
        • 7.2.1.1. Machine Learning
        • 7.2.1.2. Computer vision
        • 7.2.1.3. Natural language processing (NLP)
        • 7.2.1.4. Speech Recognition
        • 7.2.1.5. Others
      • 7.2.2. Global Embedded AI by: Component (Value)
        • 7.2.2.1. Hardware ( Processors, Memory Units, AI Accelerators, Others)
        • 7.2.2.2. Software ( Edge Computing Platforms, AI & ML Framework, AI Middleware, Others)
        • 7.2.2.3. Service
      • 7.2.3. Global Embedded AI by: End User (Value)
        • 7.2.3.1. Automotive
        • 7.2.3.2. Healthcare
        • 7.2.3.3. Manufacturing
        • 7.2.3.4. Banking & Finance
        • 7.2.3.5. Agriculture
        • 7.2.3.6. Education
        • 7.2.3.7. Others
      • 7.2.4. Global Embedded AI Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Embedded AI: by Technology(USD Million)
  • Table 2. Embedded AI Machine Learning , by Region USD Million (2018-2023)
  • Table 3. Embedded AI Computer vision , by Region USD Million (2018-2023)
  • Table 4. Embedded AI Natural language processing (NLP) , by Region USD Million (2018-2023)
  • Table 5. Embedded AI Speech Recognition , by Region USD Million (2018-2023)
  • Table 6. Embedded AI Others , by Region USD Million (2018-2023)
  • Table 7. Embedded AI: by Component(USD Million)
  • Table 8. Embedded AI Hardware ( Processors, Memory Units, AI Accelerators, Others) , by Region USD Million (2018-2023)
  • Table 9. Embedded AI Software ( Edge Computing Platforms, AI & ML Framework, AI Middleware, Others) , by Region USD Million (2018-2023)
  • Table 10. Embedded AI Service , by Region USD Million (2018-2023)
  • Table 11. Embedded AI: by End User(USD Million)
  • Table 12. Embedded AI Automotive , by Region USD Million (2018-2023)
  • Table 13. Embedded AI Healthcare , by Region USD Million (2018-2023)
  • Table 14. Embedded AI Manufacturing , by Region USD Million (2018-2023)
  • Table 15. Embedded AI Banking & Finance , by Region USD Million (2018-2023)
  • Table 16. Embedded AI Agriculture , by Region USD Million (2018-2023)
  • Table 17. Embedded AI Education , by Region USD Million (2018-2023)
  • Table 18. Embedded AI Others , by Region USD Million (2018-2023)
  • Table 19. South America Embedded AI, by Country USD Million (2018-2023)
  • Table 20. South America Embedded AI, by Technology USD Million (2018-2023)
  • Table 21. South America Embedded AI, by Component USD Million (2018-2023)
  • Table 22. South America Embedded AI, by End User USD Million (2018-2023)
  • Table 23. Brazil Embedded AI, by Technology USD Million (2018-2023)
  • Table 24. Brazil Embedded AI, by Component USD Million (2018-2023)
  • Table 25. Brazil Embedded AI, by End User USD Million (2018-2023)
  • Table 26. Argentina Embedded AI, by Technology USD Million (2018-2023)
  • Table 27. Argentina Embedded AI, by Component USD Million (2018-2023)
  • Table 28. Argentina Embedded AI, by End User USD Million (2018-2023)
  • Table 29. Rest of South America Embedded AI, by Technology USD Million (2018-2023)
  • Table 30. Rest of South America Embedded AI, by Component USD Million (2018-2023)
  • Table 31. Rest of South America Embedded AI, by End User USD Million (2018-2023)
  • Table 32. Asia Pacific Embedded AI, by Country USD Million (2018-2023)
  • Table 33. Asia Pacific Embedded AI, by Technology USD Million (2018-2023)
  • Table 34. Asia Pacific Embedded AI, by Component USD Million (2018-2023)
  • Table 35. Asia Pacific Embedded AI, by End User USD Million (2018-2023)
  • Table 36. China Embedded AI, by Technology USD Million (2018-2023)
  • Table 37. China Embedded AI, by Component USD Million (2018-2023)
  • Table 38. China Embedded AI, by End User USD Million (2018-2023)
  • Table 39. Japan Embedded AI, by Technology USD Million (2018-2023)
  • Table 40. Japan Embedded AI, by Component USD Million (2018-2023)
  • Table 41. Japan Embedded AI, by End User USD Million (2018-2023)
  • Table 42. India Embedded AI, by Technology USD Million (2018-2023)
  • Table 43. India Embedded AI, by Component USD Million (2018-2023)
  • Table 44. India Embedded AI, by End User USD Million (2018-2023)
  • Table 45. South Korea Embedded AI, by Technology USD Million (2018-2023)
  • Table 46. South Korea Embedded AI, by Component USD Million (2018-2023)
  • Table 47. South Korea Embedded AI, by End User USD Million (2018-2023)
  • Table 48. Taiwan Embedded AI, by Technology USD Million (2018-2023)
  • Table 49. Taiwan Embedded AI, by Component USD Million (2018-2023)
  • Table 50. Taiwan Embedded AI, by End User USD Million (2018-2023)
  • Table 51. Australia Embedded AI, by Technology USD Million (2018-2023)
  • Table 52. Australia Embedded AI, by Component USD Million (2018-2023)
  • Table 53. Australia Embedded AI, by End User USD Million (2018-2023)
  • Table 54. Rest of Asia-Pacific Embedded AI, by Technology USD Million (2018-2023)
  • Table 55. Rest of Asia-Pacific Embedded AI, by Component USD Million (2018-2023)
  • Table 56. Rest of Asia-Pacific Embedded AI, by End User USD Million (2018-2023)
  • Table 57. Europe Embedded AI, by Country USD Million (2018-2023)
  • Table 58. Europe Embedded AI, by Technology USD Million (2018-2023)
  • Table 59. Europe Embedded AI, by Component USD Million (2018-2023)
  • Table 60. Europe Embedded AI, by End User USD Million (2018-2023)
  • Table 61. Germany Embedded AI, by Technology USD Million (2018-2023)
  • Table 62. Germany Embedded AI, by Component USD Million (2018-2023)
  • Table 63. Germany Embedded AI, by End User USD Million (2018-2023)
  • Table 64. France Embedded AI, by Technology USD Million (2018-2023)
  • Table 65. France Embedded AI, by Component USD Million (2018-2023)
  • Table 66. France Embedded AI, by End User USD Million (2018-2023)
  • Table 67. Italy Embedded AI, by Technology USD Million (2018-2023)
  • Table 68. Italy Embedded AI, by Component USD Million (2018-2023)
  • Table 69. Italy Embedded AI, by End User USD Million (2018-2023)
  • Table 70. United Kingdom Embedded AI, by Technology USD Million (2018-2023)
  • Table 71. United Kingdom Embedded AI, by Component USD Million (2018-2023)
  • Table 72. United Kingdom Embedded AI, by End User USD Million (2018-2023)
  • Table 73. Netherlands Embedded AI, by Technology USD Million (2018-2023)
  • Table 74. Netherlands Embedded AI, by Component USD Million (2018-2023)
  • Table 75. Netherlands Embedded AI, by End User USD Million (2018-2023)
  • Table 76. Rest of Europe Embedded AI, by Technology USD Million (2018-2023)
  • Table 77. Rest of Europe Embedded AI, by Component USD Million (2018-2023)
  • Table 78. Rest of Europe Embedded AI, by End User USD Million (2018-2023)
  • Table 79. MEA Embedded AI, by Country USD Million (2018-2023)
  • Table 80. MEA Embedded AI, by Technology USD Million (2018-2023)
  • Table 81. MEA Embedded AI, by Component USD Million (2018-2023)
  • Table 82. MEA Embedded AI, by End User USD Million (2018-2023)
  • Table 83. Middle East Embedded AI, by Technology USD Million (2018-2023)
  • Table 84. Middle East Embedded AI, by Component USD Million (2018-2023)
  • Table 85. Middle East Embedded AI, by End User USD Million (2018-2023)
  • Table 86. Africa Embedded AI, by Technology USD Million (2018-2023)
  • Table 87. Africa Embedded AI, by Component USD Million (2018-2023)
  • Table 88. Africa Embedded AI, by End User USD Million (2018-2023)
  • Table 89. North America Embedded AI, by Country USD Million (2018-2023)
  • Table 90. North America Embedded AI, by Technology USD Million (2018-2023)
  • Table 91. North America Embedded AI, by Component USD Million (2018-2023)
  • Table 92. North America Embedded AI, by End User USD Million (2018-2023)
  • Table 93. United States Embedded AI, by Technology USD Million (2018-2023)
  • Table 94. United States Embedded AI, by Component USD Million (2018-2023)
  • Table 95. United States Embedded AI, by End User USD Million (2018-2023)
  • Table 96. Canada Embedded AI, by Technology USD Million (2018-2023)
  • Table 97. Canada Embedded AI, by Component USD Million (2018-2023)
  • Table 98. Canada Embedded AI, by End User USD Million (2018-2023)
  • Table 99. Mexico Embedded AI, by Technology USD Million (2018-2023)
  • Table 100. Mexico Embedded AI, by Component USD Million (2018-2023)
  • Table 101. Mexico Embedded AI, by End User USD Million (2018-2023)
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Company Basic Information, Sales Area and Its Competitors
  • Table 111. Company Basic Information, Sales Area and Its Competitors
  • Table 112. Company Basic Information, Sales Area and Its Competitors
  • Table 113. Embedded AI: by Technology(USD Million)
  • Table 114. Embedded AI Machine Learning , by Region USD Million (2025-2030)
  • Table 115. Embedded AI Computer vision , by Region USD Million (2025-2030)
  • Table 116. Embedded AI Natural language processing (NLP) , by Region USD Million (2025-2030)
  • Table 117. Embedded AI Speech Recognition , by Region USD Million (2025-2030)
  • Table 118. Embedded AI Others , by Region USD Million (2025-2030)
  • Table 119. Embedded AI: by Component(USD Million)
  • Table 120. Embedded AI Hardware ( Processors, Memory Units, AI Accelerators, Others) , by Region USD Million (2025-2030)
  • Table 121. Embedded AI Software ( Edge Computing Platforms, AI & ML Framework, AI Middleware, Others) , by Region USD Million (2025-2030)
  • Table 122. Embedded AI Service , by Region USD Million (2025-2030)
  • Table 123. Embedded AI: by End User(USD Million)
  • Table 124. Embedded AI Automotive , by Region USD Million (2025-2030)
  • Table 125. Embedded AI Healthcare , by Region USD Million (2025-2030)
  • Table 126. Embedded AI Manufacturing , by Region USD Million (2025-2030)
  • Table 127. Embedded AI Banking & Finance , by Region USD Million (2025-2030)
  • Table 128. Embedded AI Agriculture , by Region USD Million (2025-2030)
  • Table 129. Embedded AI Education , by Region USD Million (2025-2030)
  • Table 130. Embedded AI Others , by Region USD Million (2025-2030)
  • Table 131. South America Embedded AI, by Country USD Million (2025-2030)
  • Table 132. South America Embedded AI, by Technology USD Million (2025-2030)
  • Table 133. South America Embedded AI, by Component USD Million (2025-2030)
  • Table 134. South America Embedded AI, by End User USD Million (2025-2030)
  • Table 135. Brazil Embedded AI, by Technology USD Million (2025-2030)
  • Table 136. Brazil Embedded AI, by Component USD Million (2025-2030)
  • Table 137. Brazil Embedded AI, by End User USD Million (2025-2030)
  • Table 138. Argentina Embedded AI, by Technology USD Million (2025-2030)
  • Table 139. Argentina Embedded AI, by Component USD Million (2025-2030)
  • Table 140. Argentina Embedded AI, by End User USD Million (2025-2030)
  • Table 141. Rest of South America Embedded AI, by Technology USD Million (2025-2030)
  • Table 142. Rest of South America Embedded AI, by Component USD Million (2025-2030)
  • Table 143. Rest of South America Embedded AI, by End User USD Million (2025-2030)
  • Table 144. Asia Pacific Embedded AI, by Country USD Million (2025-2030)
  • Table 145. Asia Pacific Embedded AI, by Technology USD Million (2025-2030)
  • Table 146. Asia Pacific Embedded AI, by Component USD Million (2025-2030)
  • Table 147. Asia Pacific Embedded AI, by End User USD Million (2025-2030)
  • Table 148. China Embedded AI, by Technology USD Million (2025-2030)
  • Table 149. China Embedded AI, by Component USD Million (2025-2030)
  • Table 150. China Embedded AI, by End User USD Million (2025-2030)
  • Table 151. Japan Embedded AI, by Technology USD Million (2025-2030)
  • Table 152. Japan Embedded AI, by Component USD Million (2025-2030)
  • Table 153. Japan Embedded AI, by End User USD Million (2025-2030)
  • Table 154. India Embedded AI, by Technology USD Million (2025-2030)
  • Table 155. India Embedded AI, by Component USD Million (2025-2030)
  • Table 156. India Embedded AI, by End User USD Million (2025-2030)
  • Table 157. South Korea Embedded AI, by Technology USD Million (2025-2030)
  • Table 158. South Korea Embedded AI, by Component USD Million (2025-2030)
  • Table 159. South Korea Embedded AI, by End User USD Million (2025-2030)
  • Table 160. Taiwan Embedded AI, by Technology USD Million (2025-2030)
  • Table 161. Taiwan Embedded AI, by Component USD Million (2025-2030)
  • Table 162. Taiwan Embedded AI, by End User USD Million (2025-2030)
  • Table 163. Australia Embedded AI, by Technology USD Million (2025-2030)
  • Table 164. Australia Embedded AI, by Component USD Million (2025-2030)
  • Table 165. Australia Embedded AI, by End User USD Million (2025-2030)
  • Table 166. Rest of Asia-Pacific Embedded AI, by Technology USD Million (2025-2030)
  • Table 167. Rest of Asia-Pacific Embedded AI, by Component USD Million (2025-2030)
  • Table 168. Rest of Asia-Pacific Embedded AI, by End User USD Million (2025-2030)
  • Table 169. Europe Embedded AI, by Country USD Million (2025-2030)
  • Table 170. Europe Embedded AI, by Technology USD Million (2025-2030)
  • Table 171. Europe Embedded AI, by Component USD Million (2025-2030)
  • Table 172. Europe Embedded AI, by End User USD Million (2025-2030)
  • Table 173. Germany Embedded AI, by Technology USD Million (2025-2030)
  • Table 174. Germany Embedded AI, by Component USD Million (2025-2030)
  • Table 175. Germany Embedded AI, by End User USD Million (2025-2030)
  • Table 176. France Embedded AI, by Technology USD Million (2025-2030)
  • Table 177. France Embedded AI, by Component USD Million (2025-2030)
  • Table 178. France Embedded AI, by End User USD Million (2025-2030)
  • Table 179. Italy Embedded AI, by Technology USD Million (2025-2030)
  • Table 180. Italy Embedded AI, by Component USD Million (2025-2030)
  • Table 181. Italy Embedded AI, by End User USD Million (2025-2030)
  • Table 182. United Kingdom Embedded AI, by Technology USD Million (2025-2030)
  • Table 183. United Kingdom Embedded AI, by Component USD Million (2025-2030)
  • Table 184. United Kingdom Embedded AI, by End User USD Million (2025-2030)
  • Table 185. Netherlands Embedded AI, by Technology USD Million (2025-2030)
  • Table 186. Netherlands Embedded AI, by Component USD Million (2025-2030)
  • Table 187. Netherlands Embedded AI, by End User USD Million (2025-2030)
  • Table 188. Rest of Europe Embedded AI, by Technology USD Million (2025-2030)
  • Table 189. Rest of Europe Embedded AI, by Component USD Million (2025-2030)
  • Table 190. Rest of Europe Embedded AI, by End User USD Million (2025-2030)
  • Table 191. MEA Embedded AI, by Country USD Million (2025-2030)
  • Table 192. MEA Embedded AI, by Technology USD Million (2025-2030)
  • Table 193. MEA Embedded AI, by Component USD Million (2025-2030)
  • Table 194. MEA Embedded AI, by End User USD Million (2025-2030)
  • Table 195. Middle East Embedded AI, by Technology USD Million (2025-2030)
  • Table 196. Middle East Embedded AI, by Component USD Million (2025-2030)
  • Table 197. Middle East Embedded AI, by End User USD Million (2025-2030)
  • Table 198. Africa Embedded AI, by Technology USD Million (2025-2030)
  • Table 199. Africa Embedded AI, by Component USD Million (2025-2030)
  • Table 200. Africa Embedded AI, by End User USD Million (2025-2030)
  • Table 201. North America Embedded AI, by Country USD Million (2025-2030)
  • Table 202. North America Embedded AI, by Technology USD Million (2025-2030)
  • Table 203. North America Embedded AI, by Component USD Million (2025-2030)
  • Table 204. North America Embedded AI, by End User USD Million (2025-2030)
  • Table 205. United States Embedded AI, by Technology USD Million (2025-2030)
  • Table 206. United States Embedded AI, by Component USD Million (2025-2030)
  • Table 207. United States Embedded AI, by End User USD Million (2025-2030)
  • Table 208. Canada Embedded AI, by Technology USD Million (2025-2030)
  • Table 209. Canada Embedded AI, by Component USD Million (2025-2030)
  • Table 210. Canada Embedded AI, by End User USD Million (2025-2030)
  • Table 211. Mexico Embedded AI, by Technology USD Million (2025-2030)
  • Table 212. Mexico Embedded AI, by Component USD Million (2025-2030)
  • Table 213. Mexico Embedded AI, by End User USD Million (2025-2030)
  • Table 214. Research Programs/Design for This Report
  • Table 215. Key Data Information from Secondary Sources
  • Table 216. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Embedded AI: by Technology USD Million (2018-2023)
  • Figure 5. Global Embedded AI: by Component USD Million (2018-2023)
  • Figure 6. Global Embedded AI: by End User USD Million (2018-2023)
  • Figure 7. South America Embedded AI Share (%), by Country
  • Figure 8. Asia Pacific Embedded AI Share (%), by Country
  • Figure 9. Europe Embedded AI Share (%), by Country
  • Figure 10. MEA Embedded AI Share (%), by Country
  • Figure 11. North America Embedded AI Share (%), by Country
  • Figure 12. Global Embedded AI share by Players 2023 (%)
  • Figure 13. Global Embedded AI share by Players (Top 3) 2023(%)
  • Figure 14. Global Embedded AI share by Players (Top 5) 2023(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. NVIDIA Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 17. NVIDIA Corporation (United States) Revenue: by Geography 2023
  • Figure 18. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 19. Intel Corporation (United States) Revenue: by Geography 2023
  • Figure 20. Qualcomm Technologies (United States) Revenue, Net Income and Gross profit
  • Figure 21. Qualcomm Technologies (United States) Revenue: by Geography 2023
  • Figure 22. Google LLC (United States) Revenue, Net Income and Gross profit
  • Figure 23. Google LLC (United States) Revenue: by Geography 2023
  • Figure 24. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 25. Microsoft Corporation (United States) Revenue: by Geography 2023
  • Figure 26. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 27. IBM Corporation (United States) Revenue: by Geography 2023
  • Figure 28. AWS (United States) Revenue, Net Income and Gross profit
  • Figure 29. AWS (United States) Revenue: by Geography 2023
  • Figure 30. Ascent (Germany) Revenue, Net Income and Gross profit
  • Figure 31. Ascent (Germany) Revenue: by Geography 2023
  • Figure 32. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 33. Oracle Corporation (United States) Revenue: by Geography 2023
  • Figure 34. Salesforce Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 35. Salesforce Inc. (United States) Revenue: by Geography 2023
  • Figure 36. Siemens AG (Germany) Revenue, Net Income and Gross profit
  • Figure 37. Siemens AG (Germany) Revenue: by Geography 2023
  • Figure 38. Global Embedded AI: by Technology USD Million (2025-2030)
  • Figure 39. Global Embedded AI: by Component USD Million (2025-2030)
  • Figure 40. Global Embedded AI: by End User USD Million (2025-2030)
  • Figure 41. South America Embedded AI Share (%), by Country
  • Figure 42. Asia Pacific Embedded AI Share (%), by Country
  • Figure 43. Europe Embedded AI Share (%), by Country
  • Figure 44. MEA Embedded AI Share (%), by Country
  • Figure 45. North America Embedded AI Share (%), by Country
List of companies from research coverage that are profiled in the study
  • NVIDIA Corporation (United States)
  • Intel Corporation (United States)
  • Qualcomm Technologies (United States)
  • Google LLC (United States)
  • Microsoft Corporation (United States)
  • IBM Corporation (United States)
  • AWS (United States)
  • Ascent (Germany)
  • Oracle Corporation (United States)
  • Salesforce Inc. (United States)
  • Siemens AG (Germany)
Additional players considered in the study are as follows:
Riskified (United States) , DataRobot (United States) , Cognex Corporation (United States) , Others
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Key Highlights of Report


Feb 2024 212 Pages 54 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Embedded AI Market Quantitative research analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as NVIDIA Corporation (United States), Intel Corporation (United States), Qualcomm Technologies (United States), Google LLC (United States), Microsoft Corporation (United States), IBM Corporation (United States), AWS (United States), Ascent (Germany), Oracle Corporation (United States), Salesforce Inc. (United States) and Siemens AG (Germany) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Increased Integration with IoT devices to enable real-time data processing and decision-making. " is seen as one of major influencing trends for Embedded AI Market during projected period 2023-2030.
The Embedded AI market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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