Industry: Service & Software
Published Date: 2025-02-20
Pages: 154 Pages
Report ld: 4023187
Request Sample
Customized Report
The global market for Embedded AI was estimated to be worth US$ million in 2024 and is forecast to a readjusted size of US$ million by 2031 with a CAGR of %during the forecast period 2025-2031.
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.
North American market for Embedded AI was valued at $ million in 2024 and will reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for Embedded AI was valued at $ million in 2024 and will reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Europe market for Embedded AI was valued at $ million in 2024 and will reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global key companies of Embedded AI include Microsoft, Qualcomm, Intel, Google, NVIDIA, NXP, STMicroelectronics, Renesas, Lattice, Xilinx, etc. In 2024, the global five largest players hold a share approximately % in terms of revenue.
This report aims to provide a comprehensive presentation of the global market for Embedded AI, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Embedded AI by region & country, by Type, and by Application.
The Embedded AI market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Embedded AI.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Embedded AI company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Embedded AI in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Embedded AI in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Market Overview
1.1 Embedded AI Product Introduction
1.2 Global Embedded AI Market Size Forecast (2020-2031)
1.3 Embedded AI Market Trends & Drivers
1.3.1 Embedded AI Industry Trends
1.3.2 Embedded AI Market Drivers & Opportunity
1.3.3 Embedded AI Market Challenges
1.3.4 Embedded AI Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Embedded AI Players Revenue Ranking (2024)
2.2 Global Embedded AI Revenue by Company (2020-2025)
2.3 Key Companies Embedded AI Manufacturing Base Distribution and Headquarters
2.4 Key Companies Embedded AI Product Offered
2.5 Key Companies Time to Begin Mass Production of Embedded AI
2.6 Embedded AI Market Competitive Analysis
2.6.1 Embedded AI Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by Embedded AI Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Embedded AI as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Hardware
3.1.2 Software
3.2 Global Embedded AI Sales Value by Type
3.2.1 Global Embedded AI Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global Embedded AI Sales Value, by Type (2020-2031)
3.2.3 Global Embedded AI Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Smart Phone
4.1.2 Wearable Device
4.1.3 Vehicle Electronics
4.1.4 Smart Home
4.1.5 Security Monitoring
4.1.6 Drone
4.1.7 Robot
4.1.8 Other
4.2 Global Embedded AI Sales Value by Application
4.2.1 Global Embedded AI Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global Embedded AI Sales Value, by Application (2020-2031)
4.2.3 Global Embedded AI Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
5.1 Global Embedded AI Sales Value by Region
5.1.1 Global Embedded AI Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global Embedded AI Sales Value by Region (2020-2025)
5.1.3 Global Embedded AI Sales Value by Region (2026-2031)
5.1.4 Global Embedded AI Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America Embedded AI Sales Value, 2020-2031
5.2.2 North America Embedded AI Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe Embedded AI Sales Value, 2020-2031
5.3.2 Europe Embedded AI Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific Embedded AI Sales Value, 2020-2031
5.4.2 Asia Pacific Embedded AI Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America Embedded AI Sales Value, 2020-2031
5.5.2 South America Embedded AI Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa Embedded AI Sales Value, 2020-2031
5.6.2 Middle East & Africa Embedded AI Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Embedded AI Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions Embedded AI Sales Value, 2020-2031
6.3 United States
6.3.1 United States Embedded AI Sales Value, 2020-2031
6.3.2 United States Embedded AI Sales Value by Type (%), 2024 VS 2031
6.3.3 United States Embedded AI Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe Embedded AI Sales Value, 2020-2031
6.4.2 Europe Embedded AI Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe Embedded AI Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China Embedded AI Sales Value, 2020-2031
6.5.2 China Embedded AI Sales Value by Type (%), 2024 VS 2031
6.5.3 China Embedded AI Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan Embedded AI Sales Value, 2020-2031
6.6.2 Japan Embedded AI Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan Embedded AI Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea Embedded AI Sales Value, 2020-2031
6.7.2 South Korea Embedded AI Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea Embedded AI Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia Embedded AI Sales Value, 2020-2031
6.8.2 Southeast Asia Embedded AI Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia Embedded AI Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India Embedded AI Sales Value, 2020-2031
6.9.2 India Embedded AI Sales Value by Type (%), 2024 VS 2031
6.9.3 India Embedded AI Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 Microsoft
7.1.1 Microsoft Profile
7.1.2 Microsoft Main Business
7.1.3 Microsoft Embedded AI Products, Services and Solutions
7.1.4 Microsoft Embedded AI Revenue (US$ Million) & (2020-2025)
7.1.5 Microsoft Recent Developments
7.2 Qualcomm
7.2.1 Qualcomm Profile
7.2.2 Qualcomm Main Business
7.2.3 Qualcomm Embedded AI Products, Services and Solutions
7.2.4 Qualcomm Embedded AI Revenue (US$ Million) & (2020-2025)
7.2.5 Qualcomm Recent Developments
7.3 Intel
7.3.1 Intel Profile
7.3.2 Intel Main Business
7.3.3 Intel Embedded AI Products, Services and Solutions
7.3.4 Intel Embedded AI Revenue (US$ Million) & (2020-2025)
7.3.5 Intel Recent Developments
7.4 Google
7.4.1 Google Profile
7.4.2 Google Main Business
7.4.3 Google Embedded AI Products, Services and Solutions
7.4.4 Google Embedded AI Revenue (US$ Million) & (2020-2025)
7.4.5 Google Recent Developments
7.5 NVIDIA
7.5.1 NVIDIA Profile
7.5.2 NVIDIA Main Business
7.5.3 NVIDIA Embedded AI Products, Services and Solutions
7.5.4 NVIDIA Embedded AI Revenue (US$ Million) & (2020-2025)
7.5.5 NVIDIA Recent Developments
7.6 NXP
7.6.1 NXP Profile
7.6.2 NXP Main Business
7.6.3 NXP Embedded AI Products, Services and Solutions
7.6.4 NXP Embedded AI Revenue (US$ Million) & (2020-2025)
7.6.5 NXP Recent Developments
7.7 STMicroelectronics
7.7.1 STMicroelectronics Profile
7.7.2 STMicroelectronics Main Business
7.7.3 STMicroelectronics Embedded AI Products, Services and Solutions
7.7.4 STMicroelectronics Embedded AI Revenue (US$ Million) & (2020-2025)
7.7.5 STMicroelectronics Recent Developments
7.8 Renesas
7.8.1 Renesas Profile
7.8.2 Renesas Main Business
7.8.3 Renesas Embedded AI Products, Services and Solutions
7.8.4 Renesas Embedded AI Revenue (US$ Million) & (2020-2025)
7.8.5 Renesas Recent Developments
7.9 Lattice
7.9.1 Lattice Profile
7.9.2 Lattice Main Business
7.9.3 Lattice Embedded AI Products, Services and Solutions
7.9.4 Lattice Embedded AI Revenue (US$ Million) & (2020-2025)
7.9.5 Lattice Recent Developments
7.10 Xilinx
7.10.1 Xilinx Profile
7.10.2 Xilinx Main Business
7.10.3 Xilinx Embedded AI Products, Services and Solutions
7.10.4 Xilinx Embedded AI Revenue (US$ Million) & (2020-2025)
7.10.5 Xilinx Recent Developments
7.11 Maxim
7.11.1 Maxim Profile
7.11.2 Maxim Main Business
7.11.3 Maxim Embedded AI Products, Services and Solutions
7.11.4 Maxim Embedded AI Revenue (US$ Million) & (2020-2025)
7.11.5 Maxim Recent Developments
7.12 Arm
7.12.1 Arm Profile
7.12.2 Arm Main Business
7.12.3 Arm Embedded AI Products, Services and Solutions
7.12.4 Arm Embedded AI Revenue (US$ Million) & (2020-2025)
7.12.5 Arm Recent Developments
7.13 Synopsys
7.13.1 Synopsys Profile
7.13.2 Synopsys Main Business
7.13.3 Synopsys Embedded AI Products, Services and Solutions
7.13.4 Synopsys Embedded AI Revenue (US$ Million) & (2020-2025)
7.13.5 Synopsys Recent Developments
7.14 Baidu
7.14.1 Baidu Profile
7.14.2 Baidu Main Business
7.14.3 Baidu Embedded AI Products, Services and Solutions
7.14.4 Baidu Embedded AI Revenue (US$ Million) & (2020-2025)
7.14.5 Baidu Recent Developments
7.15 Orbit
7.15.1 Orbit Profile
7.15.2 Orbit Main Business
7.15.3 Orbit Embedded AI Products, Services and Solutions
7.15.4 Orbit Embedded AI Revenue (US$ Million) & (2020-2025)
7.15.5 Orbit Recent Developments
7.16 MediaTek
7.16.1 MediaTek Profile
7.16.2 MediaTek Main Business
7.16.3 MediaTek Embedded AI Products, Services and Solutions
7.16.4 MediaTek Embedded AI Revenue (US$ Million) & (2020-2025)
7.16.5 MediaTek Recent Developments
7.17 Mythic
7.17.1 Mythic Profile
7.17.2 Mythic Main Business
7.17.3 Mythic Embedded AI Products, Services and Solutions
7.17.4 Mythic Embedded AI Revenue (US$ Million) & (2020-2025)
7.17.5 Mythic Recent Developments
7.18 Horizon
7.18.1 Horizon Profile
7.18.2 Horizon Main Business
7.18.3 Horizon Embedded AI Products, Services and Solutions
7.18.4 Horizon Embedded AI Revenue (US$ Million) & (2020-2025)
7.18.5 Horizon Recent Developments
7.19 SenseTime
7.19.1 SenseTime Profile
7.19.2 SenseTime Main Business
7.19.3 SenseTime Embedded AI Products, Services and Solutions
7.19.4 SenseTime Embedded AI Revenue (US$ Million) & (2020-2025)
7.19.5 SenseTime Recent Developments
7.20 Zhicun Technology
7.20.1 Zhicun Technology Profile
7.20.2 Zhicun Technology Main Business
7.20.3 Zhicun Technology Embedded AI Products, Services and Solutions
7.20.4 Zhicun Technology Embedded AI Revenue (US$ Million) & (2020-2025)
7.20.5 Zhicun Technology Recent Developments
7.21 OPEN AI LAB
7.21.1 OPEN AI LAB Profile
7.21.2 OPEN AI LAB Main Business
7.21.3 OPEN AI LAB Embedded AI Products, Services and Solutions
7.21.4 OPEN AI LAB Embedded AI Revenue (US$ Million) & (2020-2025)
7.21.5 OPEN AI LAB Recent Developments
8 Industry Chain Analysis
8.1 Embedded AI Industrial Chain
8.2 Embedded AI Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Embedded AI Sales Model
8.5.2 Sales Channel
8.5.3 Embedded AI Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
Related Reports
The global market for Embedded AI was estimated to be worth US$ million in 2025 and is projected to reach US$ million, growing at a CAGR of %from 2026 to 2032.
Published Date: 2026-07-14
Pages: 159
USD 3950.00
(Single User License)
The global Embedded AI market was valued at US$ million in 2025 and is anticipated to reach US$ million by 2032, at a CAGR of %from 2026 to 2032.
Published Date: 2026-04-21
Pages: 158
USD 2900.00
(Single User License)
The global Embedded AI market is projected to grow from US$ million in 2024 to US$ million by 2031, at a CAGR of %(2025-2031), driven by critical product segments and diverse end‑use applications.
Published Date: 2025-10-23
Pages: 162
USD 4900.00
(Single User License)
The global market for Embedded AI was valued at US$ million in the year 2024 and is projected to reach a revised size of US$ million by 2031, growing at a CAGR of %during the forecast period.
Published Date: 2025-02-20
Pages: 104
USD 2900.00
(Single User License)
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.
Published Date: 2024-04-12
Pages: 129
USD 4900.00
(Single User License)
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.
Published Date: 2024-01-12
Pages: 107
USD 2900.00
(Single User License)
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.
Published Date: 2024-01-09
Pages: 164
USD 3950.00
(Single User License)
The global market for Embedded AI was estimated to be worth US$ million in 2025 and is projected to reach US$ million, growing at a CAGR of %from 2026 to 2032.
Published: 2026-07-14
Pages: 159
The global Embedded AI market was valued at US$ million in 2025 and is anticipated to reach US$ million by 2032, at a CAGR of %from 2026 to 2032.
Published: 2026-04-21
Pages: 158
The global Embedded AI market is projected to grow from US$ million in 2024 to US$ million by 2031, at a CAGR of %(2025-2031), driven by critical product segments and diverse end‑use applications.
Published: 2025-10-23
Pages: 162
The global market for Embedded AI was valued at US$ million in the year 2024 and is projected to reach a revised size of US$ million by 2031, growing at a CAGR of %during the forecast period.
Published: 2025-02-20
Pages: 104
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.
Published: 2024-04-12
Pages: 129
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.
Published: 2024-01-12
Pages: 107
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.
Published: 2024-01-09
Pages: 164
REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
INTEREST IN THIS REPORT?
Get A Free Sample
Request For Quotation
OR
NEED A CUSTOMIZED REPORT?
Customized Report
Request Sample
Pre-Order Enquiry
Add to Cart
Buy Now