Embedded AI Market is accounted to register a CAGR of 14.50% during the forecast period and is estimated to reach USD 30.78 Billion by 2032

Market Research Future (MRFR) has published a cooked research report on the “Embedded AI Market” that contains information from 2018 to 2032. The embedded AI Market is estimated to register a CAGR of 14.50% during the forecast period of 2023 to 2032.

MRFR recognizes the following companies as the key players in the global embedded AI Market— Google (US), IBM (US), Microsoft (US), AWS (US), NVIDIA (US), Intel (US), Qualcomm (US), Arm (UK), AMD (US), MediaTek (Taiwan), Oracle (US), Salesforce (US), NXP (Netherlands), Lattice (Oregon), Octonion (Switzerland), NeuroPace (US), Siemens (Germany), HPE (US), LUIS Technology (Germany), Code Time Technologies (Canada), HiSilicon (China), VectorBlox (Canada), Au-Zone Technologies (Canada), STMicroelectronics (Switzerland), SenseTime (Hong Kong), Edge Impulse (US), Perceive (US), Eta Compute (US), SensiML (US), Syntiant (US), Graphcore (UK), and SiMa.ai (US).

Market Highlights

The global embedded AI Market is accounted to register a CAGR of 14.50% during the forecast period and is estimated to reach USD 30.78 Billion by 2032.

The embedded AI market is witnessing robust growth as AI capabilities are increasingly integrated into various devices and systems. Industries like automotive, healthcare, and consumer electronics are adopting embedded AI to enhance efficiency and functionality, driving market expansion.

Segment Analysis

The global embedded AI Market has been segmented based offering, data type and vertical

On the basis of offering, the market is segmented into hardware, software and services. The software segment dominated the market in the global embedded AI market. This is due to ongoing improvements in deep learning and neural network technology as well as AI algorithms.

Based on data type, the global Embedded AI Market has been segmented into Sensor Data, Image and Video Data, Numeric Data, Categorical Data And Other Data Types (Iris & Facial Data, Time Series Data and Audio Data). The numeric data type generated the most revenue. The primary building block for developing, deploying, and improving AI models within embedded systems is numerical data.

Based on vertical, the global Embedded AI Market has been segmented into BFSI, IT & ITLES, Retail & Ecommerce, Manufacturing, Energy & Utilities, Transportation & Logistics, Healthcare & Life Sciences, Media & Entertainment, Telecom, Automotive and Other Vertical (Government, Aerospace And Defense, Construction & Real Estate, Agriculture, Education and Travel & Hospitality). The automotive segment dominated the market in 2022. The increasing demand for advanced driver assistance systems (ADAS), which have improved vehicle safety and convenience, has encouraged the introduction of embedded AI to support functions like adaptive cruise control and automated parking.

Regional Analysis

The global embedded AI market, based on region, has been divided into the North America, Europe, Asia-Pacific, and Rest of the World. North America consists of US and Canada. The Europe Embedded AI Market comprises of Germany, France, the UK, Italy, Spain, and the rest of Europe. The Embedded AI Market in Asia-Pacific has been segmented into China, India, Japan, Australia, South Korea, and the rest of Asia-Pacific. The Rest of the World Embedded AI Market comprises of Middle East, Africa, and Latin America.

The North America embedded AI market dominated this market in 2022 (45.80%). This is as a result of the region's robust technology ecosystem and high levels of innovation, which have created favorable conditions for the development and adoption of embedded AI solutions across numerous industries. The expanding demand for automation and smart technologies will likely help fuel market growth in this area.

Moreover, the Europe market has been persistently growing over the forecast period. Europe embedded AI market accounts for the second-largest market share. This is because efforts like Industry 4.0 and industrial automation are receiving so much attention.

The Asia-Pacific embedded AI market is expected to grow at the fastest CAGR from 2023 to 2032. This is due to the region's rising demand for applications involving automation, smart manufacturing, and the Internet of Things (IoT).

Furthermore, the rest of the world's embedded AI market is divided into the Middle East, Africa, and Latin America. Latin America is experiencing a growing Embedded AI market, driven by increased adoption in industries like manufacturing, agriculture, and healthcare. Businesses are leveraging embedded AI for process optimization and automation, contributing to improved productivity and cost-efficiency in the region.

Key Findings of the Study

• The global embedded AI market is expected to reach USD 30.78 Billion by 2032, at a CAGR of 14.50% during the forecast period.


• The Asia-Pacific region accounted for the fastest-growing global market due to the region's rising demand for applications involving automation, smart manufacturing, and the Internet of Things (IoT)


• Based on data type, the sensor data segment was attributed to having a 45–65% market share in 2022.


• Google (US), IBM (US), Microsoft (US), AWS (US), NVIDIA (US), Intel (US), Qualcomm (US), Arm (UK), AMD (US), MediaTek (Taiwan), Oracle (US), Salesforce (US), NXP (Netherlands), Lattice (Oregon), Octonion (Switzerland), NeuroPace (US), Siemens (Germany), HPE (US), LUIS Technology (Germany), Code Time Technologies (Canada), HiSilicon (China), VectorBlox (Canada), Au-Zone Technologies (Canada), STMicroelectronics (Switzerland), SenseTime (Hong Kong), Edge Impulse (US), Perceive (US), Eta Compute (US), SensiML (US), Syntiant (US), Graphcore (UK), and SiMa.ai (US).