Embedded AI Computing Platform Market 2022: Industry Size, Emerging Trends, Growth Insights, Opportunities, and Forecast By 2028
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Over the last decade, the use of Embedded AI Computing Platform has witnessed tremendous growth in recent years due to increased usage in end-user industries. Embedded AI computing system is a combination of AI software and applications which are designed to perform certain dedicated task and function in an electrical device. Embedded AI system helps and assists in producing actionable results for end-users via the use of advanced analytics. With the use of AI systems, the business can improve its performance and customer experience. Microprocessors, microcontrollers, and other software supported with chips are important for embedded AI systems. AI is ben also employed in video games such as bots in the game which are designed to play as an opponent where humans are desired or can't stand.Since the embedded system is designed and dedicated to a specific task, end users can use it to reduce the cost of the product and to improve reliability and performance. These systems have diverse features such as high speed, adaptability, accuracy, and low power consumption performing functions such as data processing, simplification and transmitting data, and others.
This report aims to provide a comprehensive presentation of the global market for Embedded AI Computing Platform study by Market Intellix gives insights concerning the market elements influencing the market, Market scope, Market division, and overlays shadow upon the leading market players featuring the positive cutthroat scene and patterns beating the years.
Global Embedded AI Computing Platform Market Revenue, 2017-2022, 2023-2028, ($ millions)
Global top five companies in 2021 (%)
The global Embedded AI Computing Platform market was valued at million in 2021 and is projected to reach US$ million by 2028, at a CAGR of % during the forecast period 2022-2028.
The U.S. Market is Estimated at $ Million in 2021, While China is Forecast to Reach $ Million by 2028.
Cloud Segment to Reach $ Million by 2028, with a % CAGR in next six years.
The global key manufacturers of Embedded AI Computing Platform include Ascent, Osaro, Riskified, Nvidia, Nuro, Tempus, DataRobot, Freenome and Grammarly, etc. In 2021, the global top five players have a share approximately % in terms of revenue.
The study provides the Embedded AI Computing Platform companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Segmental Outline:
Global Embedded AI Computing Platform Market, by Type, 2017-2022, 2023-2028 ($ millions)
Global Embedded AI Computing Platform Market Segment Percentages, by Type, 2021 (%)
Cloud
On-Premise
Global Embedded AI Computing Platform Market, by Application, 2017-2022, 2023-2028 ($ millions)
Global Embedded AI Computing Platform Market Segment Percentages, by Application, 2021 (%)
Automotive
IoT
Healthcare
Consumer Electronic
Others
Global Embedded AI Computing Platform Market, By Region and Country, 2017-2022, 2023-2028 ($ Millions)
Global Embedded AI Computing Platform Market Segment Percentages, By Region and Country, 2021 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Embedded AI Computing Platform revenues in global market, 2017-2022 (estimated), ($ millions)
Key companies Embedded AI Computing Platform revenues share in global market, 2021 (%)
Further, the report presents profiles of competitors in the market, key players include:
Ascent
Osaro
Riskified
Nvidia
Nuro
Tempus
DataRobot
Freenome
Grammarly
CloudMinds
H20.ai
Nauto
Sift Science
SoundHound
This Report Addresses:
– Market Intelligence enables effective decision-making
– Market estimates and forecasts from 2022 to 2028
– Growth opportunities and trend analysis
– Segment and regional revenue forecast for market evaluation
– Competitive strategy and analysis of market segments
– List of product innovations to stay on top.
– The impact of COVID-19 and how to survive in these fast-growing markets.
1 Introduction to Research & Analysis Reports
1.1 Embedded AI Computing Platform Market Definition
1.2 Market Segments
1.2.1 Market by Type
1.2.2 Market by Application
1.3 Global Embedded AI Computing Platform Market Overview
1.4 Features & Benefits of This Report
1.5 Methodology & Sources of Information
1.5.1 Research Methodology
1.5.2 Research Process
1.5.3 Base Year
1.5.4 Report Assumptions & Caveats
2 Global Embedded AI Computing Platform Overall Market Size
2.1 Global Embedded AI Computing Platform Market Size: 2021 VS 2028
2.2 Global Embedded AI Computing Platform Market Size, Prospects & Forecasts: 2017-2028
2.3 Key Market Trends, Opportunity, Drivers and Restraints
2.3.1 Market Opportunities & Trends
2.3.2 Market Drivers
2.3.3 Market Restraints
3 Company Landscape
3.1 Top Embedded AI Computing Platform Players in Global Market
3.2 Top Global Embedded AI Computing Platform Companies Ranked by Revenue
3.3 Global Embedded AI Computing Platform Revenue by Companies
3.4 Top 3 and Top 5 Embedded AI Computing Platform Companies in Global Market, by Revenue in 2021
3.5 Global Companies Embedded AI Computing Platform Product Type
3.6 Tier 1, Tier 2 and Tier 3 Embedded AI Computing Platform Players in Global Market
3.6.1 List of Global Tier 1 Embedded AI Computing Platform Companies
3.6.2 List of Global Tier 2 and Tier 3 Embedded AI Computing Platform Companies
4 Market Sights by Product
4.1 Overview
4.1.1 by Type - Global Embedded AI Computing Platform Market Size Markets, 2021 & 2028
4.1.2 Cloud
4.1.3 On-Premise
4.2 By Type - Global Embedded AI Computing Platform Revenue & Forecasts
4.2.1 By Type - Global Embedded AI Computing Platform Revenue, 2017-2022
4.2.2 By Type - Global Embedded AI Computing Platform Revenue, 2023-2028
4.2.3 By Type - Global Embedded AI Computing Platform Revenue Market Share, 2017-2028
5 Sights by Application
5.1 Overview
5.1.1 By Application - Global Embedded AI Computing Platform Market Size, 2021 & 2028
5.1.2 Automotive
5.1.3 IoT
5.1.4 Healthcare
5.1.5 Consumer Electronic
5.1.6 Others
5.2 By Application - Global Embedded AI Computing Platform Revenue & Forecasts
5.2.1 By Application - Global Embedded AI Computing Platform Revenue, 2017-2022
5.2.2 By Application - Global Embedded AI Computing Platform Revenue, 2023-2028
5.2.3 By Application - Global Embedded AI Computing Platform Revenue Market Share, 2017-2028
6 Sights by Region
6.1 By Region - Global Embedded AI Computing Platform Market Size, 2021 & 2028
6.2 By Region - Global Embedded AI Computing Platform Revenue & Forecasts
6.2.1 By Region - Global Embedded AI Computing Platform Revenue, 2017-2022
6.2.2 By Region - Global Embedded AI Computing Platform Revenue, 2023-2028
6.2.3 By Region - Global Embedded AI Computing Platform Revenue Market Share, 2017-2028
6.3 North America
6.3.1 By Country - North America Embedded AI Computing Platform Revenue, 2017-2028
6.3.2 US Embedded AI Computing Platform Market Size, 2017-2028
6.3.3 Canada Embedded AI Computing Platform Market Size, 2017-2028
6.3.4 Mexico Embedded AI Computing Platform Market Size, 2017-2028
6.4 Europe
6.4.1 By Country - Europe Embedded AI Computing Platform Revenue, 2017-2028
6.4.2 Germany Embedded AI Computing Platform Market Size, 2017-2028
6.4.3 France Embedded AI Computing Platform Market Size, 2017-2028
6.4.4 U.K. Embedded AI Computing Platform Market Size, 2017-2028
6.4.5 Italy Embedded AI Computing Platform Market Size, 2017-2028
6.4.6 Russia Embedded AI Computing Platform Market Size, 2017-2028
6.4.7 Nordic Countries Embedded AI Computing Platform Market Size, 2017-2028
6.4.8 Benelux Embedded AI Computing Platform Market Size, 2017-2028
6.5 Asia
6.5.1 By Region - Asia Embedded AI Computing Platform Revenue, 2017-2028
6.5.2 China Embedded AI Computing Platform Market Size, 2017-2028
6.5.3 Japan Embedded AI Computing Platform Market Size, 2017-2028
6.5.4 South Korea Embedded AI Computing Platform Market Size, 2017-2028
6.5.5 Southeast Asia Embedded AI Computing Platform Market Size, 2017-2028
6.5.6 India Embedded AI Computing Platform Market Size, 2017-2028
6.6 South America
6.6.1 By Country - South America Embedded AI Computing Platform Revenue, 2017-2028
6.6.2 Brazil Embedded AI Computing Platform Market Size, 2017-2028
6.6.3 Argentina Embedded AI Computing Platform Market Size, 2017-2028
6.7 Middle East & Africa
6.7.1 By Country - Middle East & Africa Embedded AI Computing Platform Revenue, 2017-2028
6.7.2 Turkey Embedded AI Computing Platform Market Size, 2017-2028
6.7.3 Israel Embedded AI Computing Platform Market Size, 2017-2028
6.7.4 Saudi Arabia Embedded AI Computing Platform Market Size, 2017-2028
6.7.5 UAE Embedded AI Computing Platform Market Size, 2017-2028
7 Players Profiles
7.1 Ascent
7.1.1 Ascent Corporate Summary
7.1.2 Ascent Business Overview
7.1.3 Ascent Embedded AI Computing Platform Major Product Offerings
7.1.4 Ascent Embedded AI Computing Platform Revenue in Global Market (2017-2022)
7.1.5 Ascent Key News
7.2 Osaro
7.2.1 Osaro Corporate Summary
7.2.2 Osaro Business Overview
7.2.3 Osaro Embedded AI Computing Platform Major Product Offerings
7.2.4 Osaro Embedded AI Computing Platform Revenue in Global Market (2017-2022)
7.2.5 Osaro Key News
7.3 Riskified
7.3.1 Riskified Corporate Summary
7.3.2 Riskified Business Overview
7.3.3 Riskified Embedded AI Computing Platform Major Product Offerings
7.3.4 Riskified Embedded AI Computing Platform Revenue in Global Market (2017-2022)
7.3.5 Riskified Key News
7.4 Nvidia
7.4.1 Nvidia Corporate Summary
7.4.2 Nvidia Business Overview
7.4.3 Nvidia Embedded AI Computing Platform Major Product Offerings
7.4.4 Nvidia Embedded AI Computing Platform Revenue in Global Market (2017-2022)
7.4.5 Nvidia Key News
7.5 Nuro
7.5.1 Nuro Corporate Summary
7.5.2 Nuro Business Overview
7.5.3 Nuro Embedded AI Computing Platform Major Product Offerings
7.5.4 Nuro Embedded AI Computing Platform Revenue in Global Market (2017-2022)
7.5.5 Nuro Key News
7.6 Tempus
7.6.1 Tempus Corporate Summary
7.6.2 Tempus Business Overview
7.6.3 Tempus Embedded AI Computing Platform Major Product Offerings
7.6.4 Tempus Embedded AI Computing Platform Revenue in Global Market (2017-2022)
7.6.5 Tempus Key News
7.7 DataRobot
7.7.1 DataRobot Corporate Summary
7.7.2 DataRobot Business Overview
7.7.3 DataRobot Embedded AI Computing Platform Major Product Offerings
7.7.4 DataRobot Embedded AI Computing Platform Revenue in Global Market (2017-2022)
7.7.5 DataRobot Key News
7.8 Freenome
7.8.1 Freenome Corporate Summary
7.8.2 Freenome Business Overview
7.8.3 Freenome Embedded AI Computing Platform Major Product Offerings
7.8.4 Freenome Embedded AI Computing Platform Revenue in Global Market (2017-2022)
7.8.5 Freenome Key News
7.9 Grammarly
7.9.1 Grammarly Corporate Summary
7.9.2 Grammarly Business Overview
7.9.3 Grammarly Embedded AI Computing Platform Major Product Offerings
7.9.4 Grammarly Embedded AI Computing Platform Revenue in Global Market (2017-2022)
7.9.5 Grammarly Key News
7.10 CloudMinds
7.10.1 CloudMinds Corporate Summary
7.10.2 CloudMinds Business Overview
7.10.3 CloudMinds Embedded AI Computing Platform Major Product Offerings
7.10.4 CloudMinds Embedded AI Computing Platform Revenue in Global Market (2017-2022)
7.10.5 CloudMinds Key News
7.11 H20.ai
7.11.1 H20.ai Corporate Summary
7.11.2 H20.ai Business Overview
7.11.3 H20.ai Embedded AI Computing Platform Major Product Offerings
7.11.4 H20.ai Embedded AI Computing Platform Revenue in Global Market (2017-2022)
7.11.5 H20.ai Key News
7.12 Nauto
7.12.1 Nauto Corporate Summary
7.12.2 Nauto Business Overview
7.12.3 Nauto Embedded AI Computing Platform Major Product Offerings
7.12.4 Nauto Embedded AI Computing Platform Revenue in Global Market (2017-2022)
7.12.5 Nauto Key News
7.13 Sift Science
7.13.1 Sift Science Corporate Summary
7.13.2 Sift Science Business Overview
7.13.3 Sift Science Embedded AI Computing Platform Major Product Offerings
7.13.4 Sift Science Embedded AI Computing Platform Revenue in Global Market (2017-2022)
7.13.5 Sift Science Key News
7.14 SoundHound
7.14.1 SoundHound Corporate Summary
7.14.2 SoundHound Business Overview
7.14.3 SoundHound Embedded AI Computing Platform Major Product Offerings
7.14.4 SoundHound Embedded AI Computing Platform Revenue in Global Market (2017-2022)
7.14.5 SoundHound Key News
8 Conclusion
9 Appendix
9.1 Note
9.2 Examples of Clients
9.3 Disclaimer
Research Methodology:
Embedded AI Computing Platform Market Size Estimation
To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.
Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.
Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.
We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.
Data Source
Secondary Sources
This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.
These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.
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Primary Sources
As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.
On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.
These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.
Key Data Information from Primary Sources
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