
The global market for Edge and Embedded AI was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.143%, including software, hardware and services.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Edge and Embedded AI, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Edge and Embedded AI by region & country, by Type, and by Application.
The Edge and Embedded AI market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Edge and Embedded AI.
Market Segmentation
By Company
Google Cloud Platform
AWS
Dell
ClearBlade
IBM
EdgeConneX
Aarna Networks
ADVA
Section
ADLINK Technology
Segment by Type:
Edge AI
Embedded AI
Segment by Application
Semiconductor Company
Electronic Equipment Company
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
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 Edge and Embedded AI manufacturers 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 Edge and 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 Edge and 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.
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1 Market Overview
1.1 Edge and Embedded AI Product Introduction
1.2 Global Edge and Embedded AI Market Size Forecast
1.3 Edge and Embedded AI Market Trends & Drivers
1.3.1 Edge and Embedded AI Industry Trends
1.3.2 Edge and Embedded AI Market Drivers & Opportunity
1.3.3 Edge and Embedded AI Market Challenges
1.3.4 Edge and 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 Edge and Embedded AI Players Revenue Ranking (2023)
2.2 Global Edge and Embedded AI Revenue by Company (2019-2024)
2.3 Key Companies Edge and Embedded AI Manufacturing Base Distribution and Headquarters
2.4 Key Companies Edge and Embedded AI Product Offered
2.5 Key Companies Time to Begin Mass Production of Edge and Embedded AI
2.6 Edge and Embedded AI Market Competitive Analysis
2.6.1 Edge and Embedded AI Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Edge and Embedded AI Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Edge and Embedded AI as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Edge AI
3.1.2 Embedded AI
3.2 Global Edge and Embedded AI Sales Value by Type
3.2.1 Global Edge and Embedded AI Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Edge and Embedded AI Sales Value, by Type (2019-2030)
3.2.3 Global Edge and Embedded AI Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Semiconductor Company
4.1.2 Electronic Equipment Company
4.1.3 Others
4.2 Global Edge and Embedded AI Sales Value by Application
4.2.1 Global Edge and Embedded AI Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Edge and Embedded AI Sales Value, by Application (2019-2030)
4.2.3 Global Edge and Embedded AI Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Edge and Embedded AI Sales Value by Region
5.1.1 Global Edge and Embedded AI Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Edge and Embedded AI Sales Value by Region (2019-2024)
5.1.3 Global Edge and Embedded AI Sales Value by Region (2025-2030)
5.1.4 Global Edge and Embedded AI Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Edge and Embedded AI Sales Value, 2019-2030
5.2.2 North America Edge and Embedded AI Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Edge and Embedded AI Sales Value, 2019-2030
5.3.2 Europe Edge and Embedded AI Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Edge and Embedded AI Sales Value, 2019-2030
5.4.2 Asia Pacific Edge and Embedded AI Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Edge and Embedded AI Sales Value, 2019-2030
5.5.2 South America Edge and Embedded AI Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Edge and Embedded AI Sales Value, 2019-2030
5.6.2 Middle East & Africa Edge and Embedded AI Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Edge and Embedded AI Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Edge and Embedded AI Sales Value
6.3 United States
6.3.1 United States Edge and Embedded AI Sales Value, 2019-2030
6.3.2 United States Edge and Embedded AI Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Edge and Embedded AI Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Edge and Embedded AI Sales Value, 2019-2030
6.4.2 Europe Edge and Embedded AI Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Edge and Embedded AI Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Edge and Embedded AI Sales Value, 2019-2030
6.5.2 China Edge and Embedded AI Sales Value by Type (%), 2023 VS 2030
6.5.3 China Edge and Embedded AI Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Edge and Embedded AI Sales Value, 2019-2030
6.6.2 Japan Edge and Embedded AI Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Edge and Embedded AI Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Edge and Embedded AI Sales Value, 2019-2030
6.7.2 South Korea Edge and Embedded AI Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Edge and Embedded AI Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Edge and Embedded AI Sales Value, 2019-2030
6.8.2 Southeast Asia Edge and Embedded AI Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Edge and Embedded AI Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Edge and Embedded AI Sales Value, 2019-2030
6.9.2 India Edge and Embedded AI Sales Value by Type (%), 2023 VS 2030
6.9.3 India Edge and Embedded AI Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Google Cloud Platform
7.1.1 Google Cloud Platform Profile
7.1.2 Google Cloud Platform Main Business
7.1.3 Google Cloud Platform Edge and Embedded AI Products, Services and Solutions
7.1.4 Google Cloud Platform Edge and Embedded AI Revenue (US$ Million) & (2019-2024)
7.1.5 Google Cloud Platform Recent Developments
7.2 AWS
7.2.1 AWS Profile
7.2.2 AWS Main Business
7.2.3 AWS Edge and Embedded AI Products, Services and Solutions
7.2.4 AWS Edge and Embedded AI Revenue (US$ Million) & (2019-2024)
7.2.5 AWS Recent Developments
7.3 Dell
7.3.1 Dell Profile
7.3.2 Dell Main Business
7.3.3 Dell Edge and Embedded AI Products, Services and Solutions
7.3.4 Dell Edge and Embedded AI Revenue (US$ Million) & (2019-2024)
7.3.5 ClearBlade Recent Developments
7.4 ClearBlade
7.4.1 ClearBlade Profile
7.4.2 ClearBlade Main Business
7.4.3 ClearBlade Edge and Embedded AI Products, Services and Solutions
7.4.4 ClearBlade Edge and Embedded AI Revenue (US$ Million) & (2019-2024)
7.4.5 ClearBlade Recent Developments
7.5 IBM
7.5.1 IBM Profile
7.5.2 IBM Main Business
7.5.3 IBM Edge and Embedded AI Products, Services and Solutions
7.5.4 IBM Edge and Embedded AI Revenue (US$ Million) & (2019-2024)
7.5.5 IBM Recent Developments
7.6 EdgeConneX
7.6.1 EdgeConneX Profile
7.6.2 EdgeConneX Main Business
7.6.3 EdgeConneX Edge and Embedded AI Products, Services and Solutions
7.6.4 EdgeConneX Edge and Embedded AI Revenue (US$ Million) & (2019-2024)
7.6.5 EdgeConneX Recent Developments
7.7 Aarna Networks
7.7.1 Aarna Networks Profile
7.7.2 Aarna Networks Main Business
7.7.3 Aarna Networks Edge and Embedded AI Products, Services and Solutions
7.7.4 Aarna Networks Edge and Embedded AI Revenue (US$ Million) & (2019-2024)
7.7.5 Aarna Networks Recent Developments
7.8 ADVA
7.8.1 ADVA Profile
7.8.2 ADVA Main Business
7.8.3 ADVA Edge and Embedded AI Products, Services and Solutions
7.8.4 ADVA Edge and Embedded AI Revenue (US$ Million) & (2019-2024)
7.8.5 ADVA Recent Developments
7.9 Section
7.9.1 Section Profile
7.9.2 Section Main Business
7.9.3 Section Edge and Embedded AI Products, Services and Solutions
7.9.4 Section Edge and Embedded AI Revenue (US$ Million) & (2019-2024)
7.9.5 Section Recent Developments
7.10 ADLINK Technology
7.10.1 ADLINK Technology Profile
7.10.2 ADLINK Technology Main Business
7.10.3 ADLINK Technology Edge and Embedded AI Products, Services and Solutions
7.10.4 ADLINK Technology Edge and Embedded AI Revenue (US$ Million) & (2019-2024)
7.10.5 ADLINK Technology Recent Developments
8 Industry Chain Analysis
8.1 Edge and Embedded AI Industrial Chain
8.2 Edge and 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 Edge and Embedded AI Sales Model
8.5.2 Sales Channel
8.5.3 Edge and Embedded AI Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
Google Cloud Platform
AWS
Dell
ClearBlade
IBM
EdgeConneX
Aarna Networks
ADVA
Section
ADLINK Technology
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*If Applicable.
