Report overview
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 contains market size and forecasts of Embedded AI Computing Platform in Global, including the following market information:
Global Embedded AI Computing Platform Market Revenue, 2018-2023, 2023-2030, ($ millions)
Global top five companies in 2022 (%)
The global Embedded AI Computing Platform market was valued at million in 2022 and is projected to reach US$ million by 2030, at a CAGR of % during the forecast period 2023-2030.
The U.S. Market is Estimated at $ Million in 2022, While China is Forecast to Reach $ Million by 2030.
Cloud Segment to Reach $ Million by 2030, 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 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed 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.
Total Market by Segment:
Global Embedded AI Computing Platform Market, by Type, 2018-2023, 2023-2030 ($ millions)
Global Embedded AI Computing Platform Market Segment Percentages, by Type, 2022 (%)
Cloud
On-Premise
Global Embedded AI Computing Platform Market, by Application, 2018-2023, 2023-2030 ($ millions)
Global Embedded AI Computing Platform Market Segment Percentages, by Application, 2022 (%)
Automotive
IoT
Healthcare
Consumer Electronic
Others
Global Embedded AI Computing Platform Market, By Region and Country, 2018-2023, 2023-2030 ($ Millions)
Global Embedded AI Computing Platform Market Segment Percentages, By Region and Country, 2022 (%)
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, 2018-2023 (estimated), ($ millions)
Key companies Embedded AI Computing Platform revenues share in global market, 2022 (%)
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
