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
Methodology/Research Approach
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.Research Programs/Design
Historical Data (2015-2019) |
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Influencing Factors |
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Market Forecast (2021-2026) |
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Market Size Estimation
Top-down and bottom-up approaches are used to validate the global Voluntary Carbon Offset market size market and estimate the market size for Company, regions segments, product segments and Application (end users).
The market estimations in this report are based on the marketed sale price of Voluntary Carbon Offset (excluding any discounts provided by the player, distributor, wholesaler or traders). The percentage splits, market share, and breakdowns of the product segments are derived on the basis of weights assigned to each of the segments on the basis of their utilization rate and average sale price. The regional splits of the overall Voluntary Carbon Offset market and its sub-segments are based on the percentage adoption or utilization of the given product in the respective region or country.
Major Company in the market is identified through secondary research and their market revenues determined through primary and secondary research. Secondary research included the research of the annual and financial reports of the top Company; whereas, primary research included extensive interviews of key opinion leaders and industry experts such as experienced front-line staff, directors, CEOs and marketing executives. The percentage splits, market share, Growth Rate and breakdowns of the product markets are determined through using secondary sources and verified through the primary sources.
All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Market Intellix and presented in this report
The following figure shows an illustrative representation of the overall market size estimation process used for this study.
Market Breakdown and Data Triangulation
After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.
Data Source
Secondary Sources
Secondary sources include such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, etc. This research study involves the usage of widespread secondary sources, directories, databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), and TRADING ECONOMICS, and News Network, statista, Federal Reserve Economic Data, annual reports, BIS Statistics, ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and Hospitals study of the Voluntary Carbon Offset market. It was also used to obtain important information about the top companies, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.
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Qualitative Analysis |
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Primary Sources
In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product Company (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.
The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end use (product buyers), and related key executives from various key companies and organizations operating in the global market.
Primary research was conducted to identify segmentation Type, product price range, product Application, key Company, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.
Key Executives Interviewed
Key Data Information from Primary Sources
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