Global Embedded AI Computing Platform Market Growth (Status and Outlook) 2025-2031

The global Embedded AI Computing Platform market size is predicted to grow from US$ 1308 million in 2025 to US$ 1957 million in 2031; it is expected to grow at a CAGR of 7.0% from 2025 to 2031.

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.

As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.41%, including software, hardware and services.

LPI (LP Information)' newest research report, the “Embedded AI Computing Platform Industry Forecast” looks at past sales and reviews total world Embedded AI Computing Platform sales in 2024, providing a comprehensive analysis by region and market sector of projected Embedded AI Computing Platform sales for 2025 through 2031. With Embedded AI Computing Platform sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Embedded AI Computing Platform industry.

This Insight Report provides a comprehensive analysis of the global Embedded AI Computing Platform landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Embedded AI Computing Platform portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Embedded AI Computing Platform market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Embedded AI Computing Platform and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Embedded AI Computing Platform.

This report presents a comprehensive overview, market shares, and growth opportunities of Embedded AI Computing Platform market by product type, application, key players and key regions and countries.

Segmentation by Type:
Cloud
On-Premise

Segmentation by Application:
Automotive
IoT
Healthcare
Consumer Electronic
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Ascent
Osaro
Riskified
Nvidia
Nuro
Tempus
DataRobot
Freenome
Grammarly
CloudMinds
H20.ai
Nauto
Sift Science
SoundHound

Please note: The report will take approximately 2 business days to prepare and deliver.