Global Embedded AI System Market Research Report 2024

Publication ID:

PB505246344

Publication Date:

May 17, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Embedded AI system refers to a computing device or system that integrates artificial intelligence (AI) capabilities directly into its hardware or firmware, enabling intelligent processing and decision-making at the edge or within the device itself. Unlike traditional AI systems that rely on centralized processing and cloud-based algorithms, embedded AI systems are designed to perform AI tasks locally, often in real time, without the need for continuous internet connectivity or external servers.
The global Embedded AI System 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 System 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 System 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 System in Automotive 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 System include NVIDIA Corporation, Intel Corporation, Qualcomm Technologies, Inc, Google LLC, Arm Limited, Xilinx, Inc, Texas Instruments (TI), NXP Semiconductors, Ambarella, Inc, Huawei, 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 System, 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 System.
The Embedded AI System market size, estimations, and forecasts are provided in terms of and 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 System 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 System companies, new entrants, and industry chain related companies in this market with information on the revenues 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
NVIDIA Corporation
Intel Corporation
Qualcomm Technologies, Inc
Google LLC
Arm Limited
Xilinx, Inc
Texas Instruments (TI)
NXP Semiconductors
Ambarella, Inc
Huawei
Byte Lab
AMD
SAP
Alibaba Cloud
Tencent Cloud
Segment by Type
Hardware
Software
Solution
Segment by Application
Automotive
Healthcare
Smart Home and IoT
Retail and E-commerce
Agriculture
Smart Cities
Energy and Utilities
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
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 System company 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 System Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Solution
1.3 Market by Application
1.3.1 Global Embedded AI System Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Automotive
1.3.3 Healthcare
1.3.4 Smart Home and IoT
1.3.5 Retail and E-commerce
1.3.6 Agriculture
1.3.7 Smart Cities
1.3.8 Energy and Utilities
1.3.9 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Embedded AI System Market Perspective (2019-2030)
2.2 Global Embedded AI System Growth Trends by Region
2.2.1 Global Embedded AI System Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Embedded AI System Historic Market Size by Region (2019-2024)
2.2.3 Embedded AI System Forecasted Market Size by Region (2025-2030)
2.3 Embedded AI System Market Dynamics
2.3.1 Embedded AI System Industry Trends
2.3.2 Embedded AI System Market Drivers
2.3.3 Embedded AI System Market Challenges
2.3.4 Embedded AI System Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Embedded AI System Players by Revenue
3.1.1 Global Top Embedded AI System Players by Revenue (2019-2024)
3.1.2 Global Embedded AI System Revenue Market Share by Players (2019-2024)
3.2 Global Embedded AI System Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Embedded AI System Revenue
3.4 Global Embedded AI System Market Concentration Ratio
3.4.1 Global Embedded AI System Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Embedded AI System Revenue in 2023
3.5 Global Key Players of Embedded AI System Head office and Area Served
3.6 Global Key Players of Embedded AI System, Product and Application
3.7 Global Key Players of Embedded AI System, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Embedded AI System Breakdown Data by Type
4.1 Global Embedded AI System Historic Market Size by Type (2019-2024)
4.2 Global Embedded AI System Forecasted Market Size by Type (2025-2030)
5 Embedded AI System Breakdown Data by Application
5.1 Global Embedded AI System Historic Market Size by Application (2019-2024)
5.2 Global Embedded AI System Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Embedded AI System Market Size (2019-2030)
6.2 North America Embedded AI System Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Embedded AI System Market Size by Country (2019-2024)
6.4 North America Embedded AI System Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Embedded AI System Market Size (2019-2030)
7.2 Europe Embedded AI System Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Embedded AI System Market Size by Country (2019-2024)
7.4 Europe Embedded AI System 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 System Market Size (2019-2030)
8.2 Asia-Pacific Embedded AI System Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Embedded AI System Market Size by Region (2019-2024)
8.4 Asia-Pacific Embedded AI System 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 System Market Size (2019-2030)
9.2 Latin America Embedded AI System Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Embedded AI System Market Size by Country (2019-2024)
9.4 Latin America Embedded AI System Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Embedded AI System Market Size (2019-2030)
10.2 Middle East & Africa Embedded AI System Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Embedded AI System Market Size by Country (2019-2024)
10.4 Middle East & Africa Embedded AI System Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 NVIDIA Corporation
11.1.1 NVIDIA Corporation Company Details
11.1.2 NVIDIA Corporation Business Overview
11.1.3 NVIDIA Corporation Embedded AI System Introduction
11.1.4 NVIDIA Corporation Revenue in Embedded AI System Business (2019-2024)
11.1.5 NVIDIA Corporation Recent Development
11.2 Intel Corporation
11.2.1 Intel Corporation Company Details
11.2.2 Intel Corporation Business Overview
11.2.3 Intel Corporation Embedded AI System Introduction
11.2.4 Intel Corporation Revenue in Embedded AI System Business (2019-2024)
11.2.5 Intel Corporation Recent Development
11.3 Qualcomm Technologies, Inc
11.3.1 Qualcomm Technologies, Inc Company Details
11.3.2 Qualcomm Technologies, Inc Business Overview
11.3.3 Qualcomm Technologies, Inc Embedded AI System Introduction
11.3.4 Qualcomm Technologies, Inc Revenue in Embedded AI System Business (2019-2024)
11.3.5 Qualcomm Technologies, Inc Recent Development
11.4 Google LLC
11.4.1 Google LLC Company Details
11.4.2 Google LLC Business Overview
11.4.3 Google LLC Embedded AI System Introduction
11.4.4 Google LLC Revenue in Embedded AI System Business (2019-2024)
11.4.5 Google LLC Recent Development
11.5 Arm Limited
11.5.1 Arm Limited Company Details
11.5.2 Arm Limited Business Overview
11.5.3 Arm Limited Embedded AI System Introduction
11.5.4 Arm Limited Revenue in Embedded AI System Business (2019-2024)
11.5.5 Arm Limited Recent Development
11.6 Xilinx, Inc
11.6.1 Xilinx, Inc Company Details
11.6.2 Xilinx, Inc Business Overview
11.6.3 Xilinx, Inc Embedded AI System Introduction
11.6.4 Xilinx, Inc Revenue in Embedded AI System Business (2019-2024)
11.6.5 Xilinx, Inc Recent Development
11.7 Texas Instruments (TI)
11.7.1 Texas Instruments (TI) Company Details
11.7.2 Texas Instruments (TI) Business Overview
11.7.3 Texas Instruments (TI) Embedded AI System Introduction
11.7.4 Texas Instruments (TI) Revenue in Embedded AI System Business (2019-2024)
11.7.5 Texas Instruments (TI) Recent Development
11.8 NXP Semiconductors
11.8.1 NXP Semiconductors Company Details
11.8.2 NXP Semiconductors Business Overview
11.8.3 NXP Semiconductors Embedded AI System Introduction
11.8.4 NXP Semiconductors Revenue in Embedded AI System Business (2019-2024)
11.8.5 NXP Semiconductors Recent Development
11.9 Ambarella, Inc
11.9.1 Ambarella, Inc Company Details
11.9.2 Ambarella, Inc Business Overview
11.9.3 Ambarella, Inc Embedded AI System Introduction
11.9.4 Ambarella, Inc Revenue in Embedded AI System Business (2019-2024)
11.9.5 Ambarella, Inc Recent Development
11.10 Huawei
11.10.1 Huawei Company Details
11.10.2 Huawei Business Overview
11.10.3 Huawei Embedded AI System Introduction
11.10.4 Huawei Revenue in Embedded AI System Business (2019-2024)
11.10.5 Huawei Recent Development
11.11 Byte Lab
11.11.1 Byte Lab Company Details
11.11.2 Byte Lab Business Overview
11.11.3 Byte Lab Embedded AI System Introduction
11.11.4 Byte Lab Revenue in Embedded AI System Business (2019-2024)
11.11.5 Byte Lab Recent Development
11.12 AMD
11.12.1 AMD Company Details
11.12.2 AMD Business Overview
11.12.3 AMD Embedded AI System Introduction
11.12.4 AMD Revenue in Embedded AI System Business (2019-2024)
11.12.5 AMD Recent Development
11.13 SAP
11.13.1 SAP Company Details
11.13.2 SAP Business Overview
11.13.3 SAP Embedded AI System Introduction
11.13.4 SAP Revenue in Embedded AI System Business (2019-2024)
11.13.5 SAP Recent Development
11.14 Alibaba Cloud
11.14.1 Alibaba Cloud Company Details
11.14.2 Alibaba Cloud Business Overview
11.14.3 Alibaba Cloud Embedded AI System Introduction
11.14.4 Alibaba Cloud Revenue in Embedded AI System Business (2019-2024)
11.14.5 Alibaba Cloud Recent Development
11.15 Tencent Cloud
11.15.1 Tencent Cloud Company Details
11.15.2 Tencent Cloud Business Overview
11.15.3 Tencent Cloud Embedded AI System Introduction
11.15.4 Tencent Cloud Revenue in Embedded AI System Business (2019-2024)
11.15.5 Tencent Cloud Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

NVIDIA Corporation
Intel Corporation
Qualcomm Technologies, Inc
Google LLC
Arm Limited
Xilinx, Inc
Texas Instruments (TI)
NXP Semiconductors
Ambarella, Inc
Huawei
Byte Lab
AMD
SAP
Alibaba Cloud
Tencent Cloud

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