The global Embedded AI market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.
Embedded AI refers to the technology that allows AI algorithms to run on terminal devices. Its function is to enable intelligent hardware such as speakers, mobile phones, and robots to complete functions such as environment perception, human-computer interaction, and decision-making control in real time without the Internet.
Report includes an overview of the development of the Embedded AI industry chain, the market status of Smart Phone (Hardware, Software), Wearable Device (Hardware, Software), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Embedded AI.
Regionally, the report analyzes the Embedded AI markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Embedded AI market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Embedded AI market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Embedded AI industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Hardware, Software).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Embedded AI market.
Regional Analysis: The report involves examining the Embedded AI market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Embedded AI market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Embedded AI:
Company Analysis: Report covers individual Embedded AI players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Embedded AI This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Smart Phone, Wearable Device).
Technology Analysis: Report covers specific technologies relevant to Embedded AI. It assesses the current state, advancements, and potential future developments in Embedded AI areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Embedded AI market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
Embedded AI market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
Hardware
Software
Market segment by Application
Smart Phone
Wearable Device
Vehicle Electronics
Smart Home
Security Monitoring
Drone
Robot
Other
Market segment by players, this report covers
Microsoft
Qualcomm
Intel
Google
NVIDIA
NXP
STMicroelectronics
Renesas
Lattice
Xilinx
Maxim
Arm
Synopsys
Baidu
Orbit
MediaTek
Mythic
Horizon
SenseTime
Zhicun Technology
OPEN AI LAB
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Embedded AI product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Embedded AI, with revenue, gross margin and global market share of Embedded AI from 2019 to 2024.
Chapter 3, the Embedded AI competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Embedded AI market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Embedded AI.
Chapter 13, to describe Embedded AI research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 Market Overview
1.1 Product Overview and Scope of Embedded AI
1.2 Market Estimation Caveats and Base Year
1.3 Classification of Embedded AI by Type
1.3.1 Overview: Global Embedded AI Market Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global Embedded AI Consumption Value Market Share by Type in 2023
1.3.3 Hardware
1.3.4 Software
1.4 Global Embedded AI Market by Application
1.4.1 Overview: Global Embedded AI Market Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 Smart Phone
1.4.3 Wearable Device
1.4.4 Vehicle Electronics
1.4.5 Smart Home
1.4.6 Security Monitoring
1.4.7 Drone
1.4.8 Robot
1.4.9 Other
1.5 Global Embedded AI Market Size & Forecast
1.6 Global Embedded AI Market Size and Forecast by Region
1.6.1 Global Embedded AI Market Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global Embedded AI Market Size by Region, (2019-2030)
1.6.3 North America Embedded AI Market Size and Prospect (2019-2030)
1.6.4 Europe Embedded AI Market Size and Prospect (2019-2030)
1.6.5 Asia-Pacific Embedded AI Market Size and Prospect (2019-2030)
1.6.6 South America Embedded AI Market Size and Prospect (2019-2030)
1.6.7 Middle East and Africa Embedded AI Market Size and Prospect (2019-2030)
2 Company Profiles
2.1 Microsoft
2.1.1 Microsoft Details
2.1.2 Microsoft Major Business
2.1.3 Microsoft Embedded AI Product and Solutions
2.1.4 Microsoft Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.1.5 Microsoft Recent Developments and Future Plans
2.2 Qualcomm
2.2.1 Qualcomm Details
2.2.2 Qualcomm Major Business
2.2.3 Qualcomm Embedded AI Product and Solutions
2.2.4 Qualcomm Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.2.5 Qualcomm Recent Developments and Future Plans
2.3 Intel
2.3.1 Intel Details
2.3.2 Intel Major Business
2.3.3 Intel Embedded AI Product and Solutions
2.3.4 Intel Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.3.5 Intel Recent Developments and Future Plans
2.4 Google
2.4.1 Google Details
2.4.2 Google Major Business
2.4.3 Google Embedded AI Product and Solutions
2.4.4 Google Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.4.5 Google Recent Developments and Future Plans
2.5 NVIDIA
2.5.1 NVIDIA Details
2.5.2 NVIDIA Major Business
2.5.3 NVIDIA Embedded AI Product and Solutions
2.5.4 NVIDIA Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.5.5 NVIDIA Recent Developments and Future Plans
2.6 NXP
2.6.1 NXP Details
2.6.2 NXP Major Business
2.6.3 NXP Embedded AI Product and Solutions
2.6.4 NXP Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.6.5 NXP Recent Developments and Future Plans
2.7 STMicroelectronics
2.7.1 STMicroelectronics Details
2.7.2 STMicroelectronics Major Business
2.7.3 STMicroelectronics Embedded AI Product and Solutions
2.7.4 STMicroelectronics Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.7.5 STMicroelectronics Recent Developments and Future Plans
2.8 Renesas
2.8.1 Renesas Details
2.8.2 Renesas Major Business
2.8.3 Renesas Embedded AI Product and Solutions
2.8.4 Renesas Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.8.5 Renesas Recent Developments and Future Plans
2.9 Lattice
2.9.1 Lattice Details
2.9.2 Lattice Major Business
2.9.3 Lattice Embedded AI Product and Solutions
2.9.4 Lattice Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.9.5 Lattice Recent Developments and Future Plans
2.10 Xilinx
2.10.1 Xilinx Details
2.10.2 Xilinx Major Business
2.10.3 Xilinx Embedded AI Product and Solutions
2.10.4 Xilinx Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.10.5 Xilinx Recent Developments and Future Plans
2.11 Maxim
2.11.1 Maxim Details
2.11.2 Maxim Major Business
2.11.3 Maxim Embedded AI Product and Solutions
2.11.4 Maxim Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.11.5 Maxim Recent Developments and Future Plans
2.12 Arm
2.12.1 Arm Details
2.12.2 Arm Major Business
2.12.3 Arm Embedded AI Product and Solutions
2.12.4 Arm Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.12.5 Arm Recent Developments and Future Plans
2.13 Synopsys
2.13.1 Synopsys Details
2.13.2 Synopsys Major Business
2.13.3 Synopsys Embedded AI Product and Solutions
2.13.4 Synopsys Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.13.5 Synopsys Recent Developments and Future Plans
2.14 Baidu
2.14.1 Baidu Details
2.14.2 Baidu Major Business
2.14.3 Baidu Embedded AI Product and Solutions
2.14.4 Baidu Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.14.5 Baidu Recent Developments and Future Plans
2.15 Orbit
2.15.1 Orbit Details
2.15.2 Orbit Major Business
2.15.3 Orbit Embedded AI Product and Solutions
2.15.4 Orbit Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.15.5 Orbit Recent Developments and Future Plans
2.16 MediaTek
2.16.1 MediaTek Details
2.16.2 MediaTek Major Business
2.16.3 MediaTek Embedded AI Product and Solutions
2.16.4 MediaTek Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.16.5 MediaTek Recent Developments and Future Plans
2.17 Mythic
2.17.1 Mythic Details
2.17.2 Mythic Major Business
2.17.3 Mythic Embedded AI Product and Solutions
2.17.4 Mythic Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.17.5 Mythic Recent Developments and Future Plans
2.18 Horizon
2.18.1 Horizon Details
2.18.2 Horizon Major Business
2.18.3 Horizon Embedded AI Product and Solutions
2.18.4 Horizon Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.18.5 Horizon Recent Developments and Future Plans
2.19 SenseTime
2.19.1 SenseTime Details
2.19.2 SenseTime Major Business
2.19.3 SenseTime Embedded AI Product and Solutions
2.19.4 SenseTime Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.19.5 SenseTime Recent Developments and Future Plans
2.20 Zhicun Technology
2.20.1 Zhicun Technology Details
2.20.2 Zhicun Technology Major Business
2.20.3 Zhicun Technology Embedded AI Product and Solutions
2.20.4 Zhicun Technology Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.20.5 Zhicun Technology Recent Developments and Future Plans
2.21 OPEN AI LAB
2.21.1 OPEN AI LAB Details
2.21.2 OPEN AI LAB Major Business
2.21.3 OPEN AI LAB Embedded AI Product and Solutions
2.21.4 OPEN AI LAB Embedded AI Revenue, Gross Margin and Market Share (2019-2024)
2.21.5 OPEN AI LAB Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global Embedded AI Revenue and Share by Players (2019-2024)
3.2 Market Share Analysis (2023)
3.2.1 Market Share of Embedded AI by Company Revenue
3.2.2 Top 3 Embedded AI Players Market Share in 2023
3.2.3 Top 6 Embedded AI Players Market Share in 2023
3.3 Embedded AI Market: Overall Company Footprint Analysis
3.3.1 Embedded AI Market: Region Footprint
3.3.2 Embedded AI Market: Company Product Type Footprint
3.3.3 Embedded AI Market: Company Product Application Footprint
3.4 New Market Entrants and Barriers to Market Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
4.1 Global Embedded AI Consumption Value and Market Share by Type (2019-2024)
4.2 Global Embedded AI Market Forecast by Type (2025-2030)
5 Market Size Segment by Application
5.1 Global Embedded AI Consumption Value Market Share by Application (2019-2024)
5.2 Global Embedded AI Market Forecast by Application (2025-2030)
6 North America
6.1 North America Embedded AI Consumption Value by Type (2019-2030)
6.2 North America Embedded AI Consumption Value by Application (2019-2030)
6.3 North America Embedded AI Market Size by Country
6.3.1 North America Embedded AI Consumption Value by Country (2019-2030)
6.3.2 United States Embedded AI Market Size and Forecast (2019-2030)
6.3.3 Canada Embedded AI Market Size and Forecast (2019-2030)
6.3.4 Mexico Embedded AI Market Size and Forecast (2019-2030)
7 Europe
7.1 Europe Embedded AI Consumption Value by Type (2019-2030)
7.2 Europe Embedded AI Consumption Value by Application (2019-2030)
7.3 Europe Embedded AI Market Size by Country
7.3.1 Europe Embedded AI Consumption Value by Country (2019-2030)
7.3.2 Germany Embedded AI Market Size and Forecast (2019-2030)
7.3.3 France Embedded AI Market Size and Forecast (2019-2030)
7.3.4 United Kingdom Embedded AI Market Size and Forecast (2019-2030)
7.3.5 Russia Embedded AI Market Size and Forecast (2019-2030)
7.3.6 Italy Embedded AI Market Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific Embedded AI Consumption Value by Type (2019-2030)
8.2 Asia-Pacific Embedded AI Consumption Value by Application (2019-2030)
8.3 Asia-Pacific Embedded AI Market Size by Region
8.3.1 Asia-Pacific Embedded AI Consumption Value by Region (2019-2030)
8.3.2 China Embedded AI Market Size and Forecast (2019-2030)
8.3.3 Japan Embedded AI Market Size and Forecast (2019-2030)
8.3.4 South Korea Embedded AI Market Size and Forecast (2019-2030)
8.3.5 India Embedded AI Market Size and Forecast (2019-2030)
8.3.6 Southeast Asia Embedded AI Market Size and Forecast (2019-2030)
8.3.7 Australia Embedded AI Market Size and Forecast (2019-2030)
9 South America
9.1 South America Embedded AI Consumption Value by Type (2019-2030)
9.2 South America Embedded AI Consumption Value by Application (2019-2030)
9.3 South America Embedded AI Market Size by Country
9.3.1 South America Embedded AI Consumption Value by Country (2019-2030)
9.3.2 Brazil Embedded AI Market Size and Forecast (2019-2030)
9.3.3 Argentina Embedded AI Market Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa Embedded AI Consumption Value by Type (2019-2030)
10.2 Middle East & Africa Embedded AI Consumption Value by Application (2019-2030)
10.3 Middle East & Africa Embedded AI Market Size by Country
10.3.1 Middle East & Africa Embedded AI Consumption Value by Country (2019-2030)
10.3.2 Turkey Embedded AI Market Size and Forecast (2019-2030)
10.3.3 Saudi Arabia Embedded AI Market Size and Forecast (2019-2030)
10.3.4 UAE Embedded AI Market Size and Forecast (2019-2030)
11 Market Dynamics
11.1 Embedded AI Market Drivers
11.2 Embedded AI Market Restraints
11.3 Embedded AI Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Embedded AI Industry Chain
12.2 Embedded AI Upstream Analysis
12.3 Embedded AI Midstream Analysis
12.4 Embedded AI Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
Microsoft
Qualcomm
Intel
Google
NVIDIA
NXP
STMicroelectronics
Renesas
Lattice
Xilinx
Maxim
Arm
Synopsys
Baidu
Orbit
MediaTek
Mythic
Horizon
SenseTime
Zhicun Technology
OPEN AI LAB
听
听
*If Applicable.