Global Embedded AI Market Research Report 2024

Publication ID:

PB502247984

Publication Date:

February 27, 2024

Pages:

107

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

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.
The global Embedded AI market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Embedded AI is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Embedded AI is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Embedded AI in Smart Phone is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Embedded AI include Microsoft, Qualcomm, Intel, Google, NVIDIA, NXP, STMicroelectronics, Renesas and Lattice, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Embedded AI, 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.
Report Scope
The Embedded AI market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Embedded AI market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Embedded AI companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Microsoft
Qualcomm
Intel
Google
NVIDIA
NXP
STMicroelectronics
Renesas
Lattice
Xilinx
Maxim
Arm
Synopsys
Baidu
Orbit
MediaTek
Mythic
Horizon
SenseTime
Zhicun Technology
OPEN AI LAB
Segment by Type
Hardware
Software
Segment by Application
Smart Phone
Wearable Device
Vehicle Electronics
Smart Home
Security Monitoring
Drone
Robot
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Embedded AI companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Embedded AI Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.3 Market by Application
1.3.1 Global Embedded AI Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Smart Phone
1.3.3 Wearable Device
1.3.4 Vehicle Electronics
1.3.5 Smart Home
1.3.6 Security Monitoring
1.3.7 Drone
1.3.8 Robot
1.3.9 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Embedded AI Market Perspective (2019-2030)
2.2 Embedded AI Growth Trends by Region
2.2.1 Global Embedded AI Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Embedded AI Historic Market Size by Region (2019-2024)
2.2.3 Embedded AI Forecasted Market Size by Region (2025-2030)
2.3 Embedded AI Market Dynamics
2.3.1 Embedded AI Industry Trends
2.3.2 Embedded AI Market Drivers
2.3.3 Embedded AI Market Challenges
2.3.4 Embedded AI Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Embedded AI Players by Revenue
3.1.1 Global Top Embedded AI Players by Revenue (2019-2024)
3.1.2 Global Embedded AI Revenue Market Share by Players (2019-2024)
3.2 Global Embedded AI Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Embedded AI Revenue
3.4 Global Embedded AI Market Concentration Ratio
3.4.1 Global Embedded AI Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Embedded AI Revenue in 2023
3.5 Embedded AI Key Players Head office and Area Served
3.6 Key Players Embedded AI Product Solution and Service
3.7 Date of Enter into Embedded AI Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Embedded AI Breakdown Data by Type
4.1 Global Embedded AI Historic Market Size by Type (2019-2024)
4.2 Global Embedded AI Forecasted Market Size by Type (2025-2030)
5 Embedded AI Breakdown Data by Application
5.1 Global Embedded AI Historic Market Size by Application (2019-2024)
5.2 Global Embedded AI Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Embedded AI Market Size (2019-2030)
6.2 North America Embedded AI Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Embedded AI Market Size by Country (2019-2024)
6.4 North America Embedded AI Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Embedded AI Market Size (2019-2030)
7.2 Europe Embedded AI Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Embedded AI Market Size by Country (2019-2024)
7.4 Europe Embedded AI Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Embedded AI Market Size (2019-2030)
8.2 Asia-Pacific Embedded AI Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Embedded AI Market Size by Region (2019-2024)
8.4 Asia-Pacific Embedded AI Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Embedded AI Market Size (2019-2030)
9.2 Latin America Embedded AI Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Embedded AI Market Size by Country (2019-2024)
9.4 Latin America Embedded AI Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Embedded AI Market Size (2019-2030)
10.2 Middle East & Africa Embedded AI Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Embedded AI Market Size by Country (2019-2024)
10.4 Middle East & Africa Embedded AI Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Detail
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Embedded AI Introduction
11.1.4 Microsoft Revenue in Embedded AI Business (2019-2024)
11.1.5 Microsoft Recent Development
11.2 Qualcomm
11.2.1 Qualcomm Company Detail
11.2.2 Qualcomm Business Overview
11.2.3 Qualcomm Embedded AI Introduction
11.2.4 Qualcomm Revenue in Embedded AI Business (2019-2024)
11.2.5 Qualcomm Recent Development
11.3 Intel
11.3.1 Intel Company Detail
11.3.2 Intel Business Overview
11.3.3 Intel Embedded AI Introduction
11.3.4 Intel Revenue in Embedded AI Business (2019-2024)
11.3.5 Intel Recent Development
11.4 Google
11.4.1 Google Company Detail
11.4.2 Google Business Overview
11.4.3 Google Embedded AI Introduction
11.4.4 Google Revenue in Embedded AI Business (2019-2024)
11.4.5 Google Recent Development
11.5 NVIDIA
11.5.1 NVIDIA Company Detail
11.5.2 NVIDIA Business Overview
11.5.3 NVIDIA Embedded AI Introduction
11.5.4 NVIDIA Revenue in Embedded AI Business (2019-2024)
11.5.5 NVIDIA Recent Development
11.6 NXP
11.6.1 NXP Company Detail
11.6.2 NXP Business Overview
11.6.3 NXP Embedded AI Introduction
11.6.4 NXP Revenue in Embedded AI Business (2019-2024)
11.6.5 NXP Recent Development
11.7 STMicroelectronics
11.7.1 STMicroelectronics Company Detail
11.7.2 STMicroelectronics Business Overview
11.7.3 STMicroelectronics Embedded AI Introduction
11.7.4 STMicroelectronics Revenue in Embedded AI Business (2019-2024)
11.7.5 STMicroelectronics Recent Development
11.8 Renesas
11.8.1 Renesas Company Detail
11.8.2 Renesas Business Overview
11.8.3 Renesas Embedded AI Introduction
11.8.4 Renesas Revenue in Embedded AI Business (2019-2024)
11.8.5 Renesas Recent Development
11.9 Lattice
11.9.1 Lattice Company Detail
11.9.2 Lattice Business Overview
11.9.3 Lattice Embedded AI Introduction
11.9.4 Lattice Revenue in Embedded AI Business (2019-2024)
11.9.5 Lattice Recent Development
11.10 Xilinx
11.10.1 Xilinx Company Detail
11.10.2 Xilinx Business Overview
11.10.3 Xilinx Embedded AI Introduction
11.10.4 Xilinx Revenue in Embedded AI Business (2019-2024)
11.10.5 Xilinx Recent Development
11.11 Maxim
11.11.1 Maxim Company Detail
11.11.2 Maxim Business Overview
11.11.3 Maxim Embedded AI Introduction
11.11.4 Maxim Revenue in Embedded AI Business (2019-2024)
11.11.5 Maxim Recent Development
11.12 Arm
11.12.1 Arm Company Detail
11.12.2 Arm Business Overview
11.12.3 Arm Embedded AI Introduction
11.12.4 Arm Revenue in Embedded AI Business (2019-2024)
11.12.5 Arm Recent Development
11.13 Synopsys
11.13.1 Synopsys Company Detail
11.13.2 Synopsys Business Overview
11.13.3 Synopsys Embedded AI Introduction
11.13.4 Synopsys Revenue in Embedded AI Business (2019-2024)
11.13.5 Synopsys Recent Development
11.14 Baidu
11.14.1 Baidu Company Detail
11.14.2 Baidu Business Overview
11.14.3 Baidu Embedded AI Introduction
11.14.4 Baidu Revenue in Embedded AI Business (2019-2024)
11.14.5 Baidu Recent Development
11.15 Orbit
11.15.1 Orbit Company Detail
11.15.2 Orbit Business Overview
11.15.3 Orbit Embedded AI Introduction
11.15.4 Orbit Revenue in Embedded AI Business (2019-2024)
11.15.5 Orbit Recent Development
11.16 MediaTek
11.16.1 MediaTek Company Detail
11.16.2 MediaTek Business Overview
11.16.3 MediaTek Embedded AI Introduction
11.16.4 MediaTek Revenue in Embedded AI Business (2019-2024)
11.16.5 MediaTek Recent Development
11.17 Mythic
11.17.1 Mythic Company Detail
11.17.2 Mythic Business Overview
11.17.3 Mythic Embedded AI Introduction
11.17.4 Mythic Revenue in Embedded AI Business (2019-2024)
11.17.5 Mythic Recent Development
11.18 Horizon
11.18.1 Horizon Company Detail
11.18.2 Horizon Business Overview
11.18.3 Horizon Embedded AI Introduction
11.18.4 Horizon Revenue in Embedded AI Business (2019-2024)
11.18.5 Horizon Recent Development
11.19 SenseTime
11.19.1 SenseTime Company Detail
11.19.2 SenseTime Business Overview
11.19.3 SenseTime Embedded AI Introduction
11.19.4 SenseTime Revenue in Embedded AI Business (2019-2024)
11.19.5 SenseTime Recent Development
11.20 Zhicun Technology
11.20.1 Zhicun Technology Company Detail
11.20.2 Zhicun Technology Business Overview
11.20.3 Zhicun Technology Embedded AI Introduction
11.20.4 Zhicun Technology Revenue in Embedded AI Business (2019-2024)
11.20.5 Zhicun Technology Recent Development
11.21 OPEN AI LAB
11.21.1 OPEN AI LAB Company Detail
11.21.2 OPEN AI LAB Business Overview
11.21.3 OPEN AI LAB Embedded AI Introduction
11.21.4 OPEN AI LAB Revenue in Embedded AI Business (2019-2024)
11.21.5 OPEN AI LAB Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

Microsoft
Qualcomm
Intel
Google
NVIDIA
NXP
STMicroelectronics
Renesas
Lattice
Xilinx
Maxim
Arm
Synopsys
Baidu
Orbit
MediaTek
Mythic
Horizon
SenseTime
Zhicun Technology
OPEN AI LAB

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