Global Embedded AI Computing Platform Market
Global Embedded AI Computing Platform Market

Embedded AI Computing Platform Comprehensive Study by Type (Hardware (Microprocessor (MPU), Microcontroller (MCU), Digital Signal Processor (DSPs), Others (ASIC & FPGA)), Software), End-User Industry (Automotive, Industrial, Healthcare, Communications, Consumers Electronics, Others), Organization Size (SMEs, Large Enterprises) Players and Region - Global Market Outlook to 2026

Embedded AI Computing Platform Market Segmented into XX Submarkets. | Forecast Years: 2021- 2026  

Jul 2021 Edition 248 Pages 217 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Embedded AI Computing Platform Market Scope
An embedded computer platform or system is a set of hardware and software that is designed to execute a certain purpose in a machine or electronic device. Any embedded computer system's hardware and software are two distinct pieces that are triggered by a set of commands called a programme to conduct an operation as a stand-alone system. The essential components used to run an embedded computing system include microcontrollers (MCUs), microprocessors (MPUs), or other custom-developed chips, as well as accompanying software in ROM (Read Only Memory). They have high speed, low power consumption, accuracy, adaptability, reusability, reliability, and size, among other qualities. Embedded computing systems are widely employed in a wide range of applications, including home automation, office automation, banking and financial institutions, security, automobile, defence, personal, and healthcare, among others. The industry for embedded computing has been fueled by rising consumer electronics acceptance and artificial intelligence usage. Growing digitization in healthcare and industrial automation, as well as increased demand in the automotive, defence, and other industries, are all aspects influencing the global embedded computing market.

Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global Embedded AI Computing Platform market throughout the predicted period.

Aaeon (Taiwan), IBM (United States), Synaptics (United States), Atmel Corporation(United States), Microchip Technology, Inc.(United States), Intel Corporation(United States), Renesas Electronics Corporation (Japan), Fujitsu Limited (Japan), ARM Holdings plc. (United Kingdom) and Microsoft Corporation(United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Horizon Robotics (China), Kneron Inc. (United States) and DeepBrainz AI (India).

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.

Segmentation Overview
The study have segmented the market of Global Embedded AI Computing Platform market by Type (Hardware [Microprocessor (MPU), Microcontroller (MCU), Digital Signal Processor (DSPs), Others (ASIC & FPGA)] and Software) and Region with country level break-up.

On the basis of geography, the market of Embedded AI Computing Platform has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Singapore, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Spain, Rest of Europe), MEA (Saudi Arabia, Turkey, Israel, United Arab Emirates, South Africa, Rest of Africa), North America (United States, Canada, Mexico).

December 2020 – Synaptics Inc. announced its newest battery-powered edge computing platform Katana Edge AI in partnership with Eta Compute to enable on-device face biometrics. The new platform combines low power SoC architecture with energy-efficient AI software and is aimed at consumer and IoT applications, April 2020 – AAEON, a leading developer of embedded AI and edge-computing solutions, has announced it is unveiling several new rugged embedded platforms—augmenting an already extensive lineup of AAEON AI edge-computing solutions powered by the NVIDIA Jetson platform. and May 2020 – IBM announced new services and solutions backed by a broad ecosystem of partners to help enterprises and telecommunications companies boost their transition to edge computing in the 5G


Market Trend
  • Rising Uptake of Artificial Intelligence
  • Emergence of the 5G network

Market Drivers
  • Increasing Penetration of Consumer Electronics
  • The healthcare Sector Uses Embedded Computing Technology to a Great Extent Owing to Its High Reliability
  • Increased Automation of Processes

Opportunities
  • Potential growth in developing economies
  • Evolution in Internet of things (IoT)

Restraints
  • Difficulties in Design and Configuration
  • Data Privacy and Security Concerns

Challenges
  • Limitations in Deployment of Solutions in Existing Systems Operating under Harsh Environment


Key Target Audience
Service Providers, Network Providers, Telecommunication Industry, End-User and Others

Frequently Asked Questions (FAQ):

1. What are the key segments playing vital role in Embedded AI Computing Platform Market?
The Embedded AI Computing Platform study can be customized to meet your requirements. The market size breakdown by type [Hardware [Microprocessor (MPU), Microcontroller (MCU), Digital Signal Processor (DSPs), Others (ASIC & FPGA)] and Software], by end use application [].

2. How big is the Embedded AI Computing Platform Market?
The Embedded AI Computing Platform Market is gaining popularity and expected to see strong valuation by 2026.

3. What is expected growth rate in Embedded AI Computing Platform Market?
According to AMA, the Global Embedded AI Computing Platform market is expected to see growth rate of %.
Report Objectives / Segmentation Covered
By Type
  • Hardware [Microprocessor (MPU), Microcontroller (MCU), Digital Signal Processor (DSPs), Others (ASIC & FPGA)]
  • Software
By End-User Industry
  • Automotive
  • Industrial
  • Healthcare
  • Communications
  • Consumers Electronics
  • Others

By Organization Size
  • SMEs
  • Large Enterprises

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Spain
    • Rest of Europe
  • MEA
    • Saudi Arabia
    • Turkey
    • Israel
    • United Arab Emirates
    • South Africa
    • Rest of 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. Increasing Penetration of Consumer Electronics
      • 3.2.2. The healthcare Sector Uses Embedded Computing Technology to a Great Extent Owing to Its High Reliability
      • 3.2.3. Increased Automation of Processes
    • 3.3. Market Challenges
      • 3.3.1. Limitations in Deployment of Solutions in Existing Systems Operating under Harsh Environment
    • 3.4. Market Trends
      • 3.4.1. Rising Uptake of Artificial Intelligence
      • 3.4.2. Emergence of the 5G network
  • 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 Computing Platform, by Type, End-User Industry, Organization Size and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Embedded AI Computing Platform (Value)
      • 5.2.1. Global Embedded AI Computing Platform by: Type (Value)
        • 5.2.1.1. Hardware [Microprocessor (MPU), Microcontroller (MCU), Digital Signal Processor (DSPs), Others (ASIC & FPGA)]
        • 5.2.1.2. Software
      • 5.2.2. Global Embedded AI Computing Platform by: End-User Industry (Value)
        • 5.2.2.1. Automotive
        • 5.2.2.2. Industrial
        • 5.2.2.3. Healthcare
        • 5.2.2.4. Communications
        • 5.2.2.5. Consumers Electronics
        • 5.2.2.6. Others
      • 5.2.3. Global Embedded AI Computing Platform by: Organization Size (Value)
        • 5.2.3.1. SMEs
        • 5.2.3.2. Large Enterprises
      • 5.2.4. Global Embedded AI Computing Platform 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. Singapore
          • 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. Spain
          • 5.2.4.3.7. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Saudi Arabia
          • 5.2.4.4.2. Turkey
          • 5.2.4.4.3. Israel
          • 5.2.4.4.4. United Arab Emirates
          • 5.2.4.4.5. South Africa
          • 5.2.4.4.6. Rest of 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 Computing Platform: 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 (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Aaeon (Taiwan)
        • 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. IBM (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. Synaptics (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. Atmel Corporation(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. Microchip Technology, Inc.(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. Intel 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. Renesas Electronics Corporation (Japan)
        • 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. Fujitsu Limited (Japan)
        • 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. ARM Holdings plc. (United Kingdom)
        • 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. Microsoft Corporation(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
  • 7. Global Embedded AI Computing Platform Sale, by Type, End-User Industry, Organization Size and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Embedded AI Computing Platform (Value)
      • 7.2.1. Global Embedded AI Computing Platform by: Type (Value)
        • 7.2.1.1. Hardware [Microprocessor (MPU), Microcontroller (MCU), Digital Signal Processor (DSPs), Others (ASIC & FPGA)]
        • 7.2.1.2. Software
      • 7.2.2. Global Embedded AI Computing Platform by: End-User Industry (Value)
        • 7.2.2.1. Automotive
        • 7.2.2.2. Industrial
        • 7.2.2.3. Healthcare
        • 7.2.2.4. Communications
        • 7.2.2.5. Consumers Electronics
        • 7.2.2.6. Others
      • 7.2.3. Global Embedded AI Computing Platform by: Organization Size (Value)
        • 7.2.3.1. SMEs
        • 7.2.3.2. Large Enterprises
      • 7.2.4. Global Embedded AI Computing Platform 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. Singapore
          • 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. Spain
          • 7.2.4.3.7. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Saudi Arabia
          • 7.2.4.4.2. Turkey
          • 7.2.4.4.3. Israel
          • 7.2.4.4.4. United Arab Emirates
          • 7.2.4.4.5. South Africa
          • 7.2.4.4.6. Rest of 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 Computing Platform: by Type(USD Million)
  • Table 2. Embedded AI Computing Platform Hardware [Microprocessor (MPU), Microcontroller (MCU), Digital Signal Processor (DSPs), Others (ASIC & FPGA)] , by Region USD Million (2015-2020)
  • Table 3. Embedded AI Computing Platform Software , by Region USD Million (2015-2020)
  • Table 4. Embedded AI Computing Platform: by End-User Industry(USD Million)
  • Table 5. Embedded AI Computing Platform Automotive , by Region USD Million (2015-2020)
  • Table 6. Embedded AI Computing Platform Industrial , by Region USD Million (2015-2020)
  • Table 7. Embedded AI Computing Platform Healthcare , by Region USD Million (2015-2020)
  • Table 8. Embedded AI Computing Platform Communications , by Region USD Million (2015-2020)
  • Table 9. Embedded AI Computing Platform Consumers Electronics , by Region USD Million (2015-2020)
  • Table 10. Embedded AI Computing Platform Others , by Region USD Million (2015-2020)
  • Table 11. Embedded AI Computing Platform: by Organization Size(USD Million)
  • Table 12. Embedded AI Computing Platform SMEs , by Region USD Million (2015-2020)
  • Table 13. Embedded AI Computing Platform Large Enterprises , by Region USD Million (2015-2020)
  • Table 14. South America Embedded AI Computing Platform, by Country USD Million (2015-2020)
  • Table 15. South America Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 16. South America Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 17. South America Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 18. Brazil Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 19. Brazil Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 20. Brazil Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 21. Argentina Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 22. Argentina Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 23. Argentina Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 24. Rest of South America Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 25. Rest of South America Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 26. Rest of South America Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 27. Asia Pacific Embedded AI Computing Platform, by Country USD Million (2015-2020)
  • Table 28. Asia Pacific Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 29. Asia Pacific Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 30. Asia Pacific Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 31. China Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 32. China Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 33. China Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 34. Japan Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 35. Japan Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 36. Japan Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 37. India Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 38. India Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 39. India Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 40. South Korea Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 41. South Korea Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 42. South Korea Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 43. Singapore Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 44. Singapore Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 45. Singapore Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 46. Australia Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 47. Australia Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 48. Australia Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 49. Rest of Asia-Pacific Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 50. Rest of Asia-Pacific Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 51. Rest of Asia-Pacific Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 52. Europe Embedded AI Computing Platform, by Country USD Million (2015-2020)
  • Table 53. Europe Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 54. Europe Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 55. Europe Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 56. Germany Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 57. Germany Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 58. Germany Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 59. France Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 60. France Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 61. France Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 62. Italy Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 63. Italy Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 64. Italy Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 65. United Kingdom Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 66. United Kingdom Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 67. United Kingdom Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 68. Netherlands Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 69. Netherlands Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 70. Netherlands Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 71. Spain Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 72. Spain Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 73. Spain Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 74. Rest of Europe Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 75. Rest of Europe Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 76. Rest of Europe Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 77. MEA Embedded AI Computing Platform, by Country USD Million (2015-2020)
  • Table 78. MEA Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 79. MEA Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 80. MEA Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 81. Saudi Arabia Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 82. Saudi Arabia Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 83. Saudi Arabia Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 84. Turkey Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 85. Turkey Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 86. Turkey Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 87. Israel Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 88. Israel Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 89. Israel Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 90. United Arab Emirates Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 91. United Arab Emirates Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 92. United Arab Emirates Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 93. South Africa Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 94. South Africa Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 95. South Africa Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 96. Rest of Africa Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 97. Rest of Africa Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 98. Rest of Africa Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 99. North America Embedded AI Computing Platform, by Country USD Million (2015-2020)
  • Table 100. North America Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 101. North America Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 102. North America Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 103. United States Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 104. United States Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 105. United States Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 106. Canada Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 107. Canada Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 108. Canada Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 109. Mexico Embedded AI Computing Platform, by Type USD Million (2015-2020)
  • Table 110. Mexico Embedded AI Computing Platform, by End-User Industry USD Million (2015-2020)
  • Table 111. Mexico Embedded AI Computing Platform, by Organization Size USD Million (2015-2020)
  • Table 112. Company Basic Information, Sales Area and Its Competitors
  • Table 113. Company Basic Information, Sales Area and Its Competitors
  • Table 114. Company Basic Information, Sales Area and Its Competitors
  • Table 115. Company Basic Information, Sales Area and Its Competitors
  • Table 116. Company Basic Information, Sales Area and Its Competitors
  • Table 117. Company Basic Information, Sales Area and Its Competitors
  • Table 118. Company Basic Information, Sales Area and Its Competitors
  • Table 119. Company Basic Information, Sales Area and Its Competitors
  • Table 120. Company Basic Information, Sales Area and Its Competitors
  • Table 121. Company Basic Information, Sales Area and Its Competitors
  • Table 122. Embedded AI Computing Platform: by Type(USD Million)
  • Table 123. Embedded AI Computing Platform Hardware [Microprocessor (MPU), Microcontroller (MCU), Digital Signal Processor (DSPs), Others (ASIC & FPGA)] , by Region USD Million (2021-2026)
  • Table 124. Embedded AI Computing Platform Software , by Region USD Million (2021-2026)
  • Table 125. Embedded AI Computing Platform: by End-User Industry(USD Million)
  • Table 126. Embedded AI Computing Platform Automotive , by Region USD Million (2021-2026)
  • Table 127. Embedded AI Computing Platform Industrial , by Region USD Million (2021-2026)
  • Table 128. Embedded AI Computing Platform Healthcare , by Region USD Million (2021-2026)
  • Table 129. Embedded AI Computing Platform Communications , by Region USD Million (2021-2026)
  • Table 130. Embedded AI Computing Platform Consumers Electronics , by Region USD Million (2021-2026)
  • Table 131. Embedded AI Computing Platform Others , by Region USD Million (2021-2026)
  • Table 132. Embedded AI Computing Platform: by Organization Size(USD Million)
  • Table 133. Embedded AI Computing Platform SMEs , by Region USD Million (2021-2026)
  • Table 134. Embedded AI Computing Platform Large Enterprises , by Region USD Million (2021-2026)
  • Table 135. South America Embedded AI Computing Platform, by Country USD Million (2021-2026)
  • Table 136. South America Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 137. South America Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 138. South America Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 139. Brazil Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 140. Brazil Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 141. Brazil Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 142. Argentina Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 143. Argentina Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 144. Argentina Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 145. Rest of South America Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 146. Rest of South America Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 147. Rest of South America Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 148. Asia Pacific Embedded AI Computing Platform, by Country USD Million (2021-2026)
  • Table 149. Asia Pacific Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 150. Asia Pacific Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 151. Asia Pacific Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 152. China Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 153. China Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 154. China Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 155. Japan Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 156. Japan Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 157. Japan Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 158. India Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 159. India Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 160. India Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 161. South Korea Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 162. South Korea Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 163. South Korea Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 164. Singapore Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 165. Singapore Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 166. Singapore Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 167. Australia Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 168. Australia Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 169. Australia Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 170. Rest of Asia-Pacific Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 171. Rest of Asia-Pacific Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 172. Rest of Asia-Pacific Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 173. Europe Embedded AI Computing Platform, by Country USD Million (2021-2026)
  • Table 174. Europe Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 175. Europe Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 176. Europe Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 177. Germany Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 178. Germany Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 179. Germany Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 180. France Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 181. France Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 182. France Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 183. Italy Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 184. Italy Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 185. Italy Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 186. United Kingdom Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 187. United Kingdom Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 188. United Kingdom Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 189. Netherlands Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 190. Netherlands Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 191. Netherlands Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 192. Spain Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 193. Spain Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 194. Spain Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 195. Rest of Europe Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 196. Rest of Europe Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 197. Rest of Europe Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 198. MEA Embedded AI Computing Platform, by Country USD Million (2021-2026)
  • Table 199. MEA Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 200. MEA Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 201. MEA Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 202. Saudi Arabia Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 203. Saudi Arabia Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 204. Saudi Arabia Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 205. Turkey Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 206. Turkey Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 207. Turkey Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 208. Israel Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 209. Israel Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 210. Israel Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 211. United Arab Emirates Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 212. United Arab Emirates Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 213. United Arab Emirates Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 214. South Africa Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 215. South Africa Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 216. South Africa Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 217. Rest of Africa Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 218. Rest of Africa Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 219. Rest of Africa Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 220. North America Embedded AI Computing Platform, by Country USD Million (2021-2026)
  • Table 221. North America Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 222. North America Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 223. North America Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 224. United States Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 225. United States Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 226. United States Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 227. Canada Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 228. Canada Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 229. Canada Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 230. Mexico Embedded AI Computing Platform, by Type USD Million (2021-2026)
  • Table 231. Mexico Embedded AI Computing Platform, by End-User Industry USD Million (2021-2026)
  • Table 232. Mexico Embedded AI Computing Platform, by Organization Size USD Million (2021-2026)
  • Table 233. Research Programs/Design for This Report
  • Table 234. Key Data Information from Secondary Sources
  • Table 235. 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 Computing Platform: by Type USD Million (2015-2020)
  • Figure 5. Global Embedded AI Computing Platform: by End-User Industry USD Million (2015-2020)
  • Figure 6. Global Embedded AI Computing Platform: by Organization Size USD Million (2015-2020)
  • Figure 7. South America Embedded AI Computing Platform Share (%), by Country
  • Figure 8. Asia Pacific Embedded AI Computing Platform Share (%), by Country
  • Figure 9. Europe Embedded AI Computing Platform Share (%), by Country
  • Figure 10. MEA Embedded AI Computing Platform Share (%), by Country
  • Figure 11. North America Embedded AI Computing Platform Share (%), by Country
  • Figure 12. Global Embedded AI Computing Platform share by Players 2020 (%)
  • Figure 13. Global Embedded AI Computing Platform share by Players (Top 3) 2020(%)
  • Figure 14. Global Embedded AI Computing Platform share by Players (Top 5) 2020(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Aaeon (Taiwan) Revenue, Net Income and Gross profit
  • Figure 17. Aaeon (Taiwan) Revenue: by Geography 2020
  • Figure 18. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 19. IBM (United States) Revenue: by Geography 2020
  • Figure 20. Synaptics (United States) Revenue, Net Income and Gross profit
  • Figure 21. Synaptics (United States) Revenue: by Geography 2020
  • Figure 22. Atmel Corporation(United States) Revenue, Net Income and Gross profit
  • Figure 23. Atmel Corporation(United States) Revenue: by Geography 2020
  • Figure 24. Microchip Technology, Inc.(United States) Revenue, Net Income and Gross profit
  • Figure 25. Microchip Technology, Inc.(United States) Revenue: by Geography 2020
  • Figure 26. Intel Corporation(United States) Revenue, Net Income and Gross profit
  • Figure 27. Intel Corporation(United States) Revenue: by Geography 2020
  • Figure 28. Renesas Electronics Corporation (Japan) Revenue, Net Income and Gross profit
  • Figure 29. Renesas Electronics Corporation (Japan) Revenue: by Geography 2020
  • Figure 30. Fujitsu Limited (Japan) Revenue, Net Income and Gross profit
  • Figure 31. Fujitsu Limited (Japan) Revenue: by Geography 2020
  • Figure 32. ARM Holdings plc. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 33. ARM Holdings plc. (United Kingdom) Revenue: by Geography 2020
  • Figure 34. Microsoft Corporation(United States) Revenue, Net Income and Gross profit
  • Figure 35. Microsoft Corporation(United States) Revenue: by Geography 2020
  • Figure 36. Global Embedded AI Computing Platform: by Type USD Million (2021-2026)
  • Figure 37. Global Embedded AI Computing Platform: by End-User Industry USD Million (2021-2026)
  • Figure 38. Global Embedded AI Computing Platform: by Organization Size USD Million (2021-2026)
  • Figure 39. South America Embedded AI Computing Platform Share (%), by Country
  • Figure 40. Asia Pacific Embedded AI Computing Platform Share (%), by Country
  • Figure 41. Europe Embedded AI Computing Platform Share (%), by Country
  • Figure 42. MEA Embedded AI Computing Platform Share (%), by Country
  • Figure 43. North America Embedded AI Computing Platform Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Aaeon (Taiwan)
  • IBM (United States)
  • Synaptics (United States)
  • Atmel Corporation(United States)
  • Microchip Technology, Inc.(United States)
  • Intel Corporation(United States)
  • Renesas Electronics Corporation (Japan)
  • Fujitsu Limited (Japan)
  • ARM Holdings plc. (United Kingdom)
  • Microsoft Corporation(United States)
Additional players considered in the study are as follows:
Horizon Robotics (China) , Kneron Inc. (United States) , DeepBrainz AI (India)
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