Global Edge AI Computing Platform 麻豆原创 Research Report 2025

Publication ID:

PB505250525

Publication Date:

May 28, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Edge AI Computing Platform 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.
North American market for Edge AI Computing Platform is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for Edge AI Computing Platform is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for Edge AI Computing Platform in Smart 麻豆原创 is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of Edge AI Computing Platform include Akira, Nvidia, Microsoft, ClearBlade, Google, Aetina, Blaize, Huawei, Senslab, Advantech, etc. In 2024, 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 Edge AI Computing Platform, 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 AI Computing Platform.
The Edge AI Computing Platform market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Edge AI Computing Platform 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 Edge AI Computing Platform 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.
麻豆原创 Segmentation
By Company
Akira
Nvidia
Microsoft
ClearBlade
Google
Aetina
Blaize
Huawei
Senslab
Advantech
Segment by Type
Based on NVIDIA Jetson AGX Orin
Based on NVIDIA Jetson Nano/TX2 NX/ Xavier NX
Based on Intel Atom E3950
Based on Intel Atom E3940
Based on Intel Core i5-6442EQ
Segment by Application
Smart 麻豆原创
Intelligent Industry
Smart City
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 Edge AI Computing Platform 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 麻豆原创 Analysis by Type
1.2.1 Global Edge AI Computing Platform 麻豆原创 Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Based on NVIDIA Jetson AGX Orin
1.2.3 Based on NVIDIA Jetson Nano/TX2 NX/ Xavier NX
1.2.4 Based on Intel Atom E3950
1.2.5 Based on Intel Atom E3940
1.2.6 Based on Intel Core i5-6442EQ
1.3 麻豆原创 by Application
1.3.1 Global Edge AI Computing Platform 麻豆原创 Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Smart 麻豆原创
1.3.3 Intelligent Industry
1.3.4 Smart City
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Edge AI Computing Platform 麻豆原创 Perspective (2020-2031)
2.2 Global Edge AI Computing Platform Growth Trends by Region
2.2.1 Global Edge AI Computing Platform 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.2.2 Edge AI Computing Platform Historic 麻豆原创 Size by Region (2020-2025)
2.2.3 Edge AI Computing Platform Forecasted 麻豆原创 Size by Region (2026-2031)
2.3 Edge AI Computing Platform 麻豆原创 Dynamics
2.3.1 Edge AI Computing Platform Industry Trends
2.3.2 Edge AI Computing Platform 麻豆原创 Drivers
2.3.3 Edge AI Computing Platform 麻豆原创 Challenges
2.3.4 Edge AI Computing Platform 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Edge AI Computing Platform Players by Revenue
3.1.1 Global Top Edge AI Computing Platform Players by Revenue (2020-2025)
3.1.2 Global Edge AI Computing Platform Revenue 麻豆原创 Share by Players (2020-2025)
3.2 Global Edge AI Computing Platform 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Edge AI Computing Platform Revenue
3.4 Global Edge AI Computing Platform 麻豆原创 Concentration Ratio
3.4.1 Global Edge AI Computing Platform 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Edge AI Computing Platform Revenue in 2024
3.5 Global Key Players of Edge AI Computing Platform Head office and Area Served
3.6 Global Key Players of Edge AI Computing Platform, Product and Application
3.7 Global Key Players of Edge AI Computing Platform, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Edge AI Computing Platform Breakdown Data by Type
4.1 Global Edge AI Computing Platform Historic 麻豆原创 Size by Type (2020-2025)
4.2 Global Edge AI Computing Platform Forecasted 麻豆原创 Size by Type (2026-2031)
5 Edge AI Computing Platform Breakdown Data by Application
5.1 Global Edge AI Computing Platform Historic 麻豆原创 Size by Application (2020-2025)
5.2 Global Edge AI Computing Platform Forecasted 麻豆原创 Size by Application (2026-2031)
6 North America
6.1 North America Edge AI Computing Platform 麻豆原创 Size (2020-2031)
6.2 North America Edge AI Computing Platform 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Edge AI Computing Platform 麻豆原创 Size by Country (2020-2025)
6.4 North America Edge AI Computing Platform 麻豆原创 Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Edge AI Computing Platform 麻豆原创 Size (2020-2031)
7.2 Europe Edge AI Computing Platform 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Edge AI Computing Platform 麻豆原创 Size by Country (2020-2025)
7.4 Europe Edge AI Computing Platform 麻豆原创 Size by Country (2026-2031)
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 Edge AI Computing Platform 麻豆原创 Size (2020-2031)
8.2 Asia-Pacific Edge AI Computing Platform 麻豆原创 Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Edge AI Computing Platform 麻豆原创 Size by Region (2020-2025)
8.4 Asia-Pacific Edge AI Computing Platform 麻豆原创 Size by Region (2026-2031)
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 Edge AI Computing Platform 麻豆原创 Size (2020-2031)
9.2 Latin America Edge AI Computing Platform 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Edge AI Computing Platform 麻豆原创 Size by Country (2020-2025)
9.4 Latin America Edge AI Computing Platform 麻豆原创 Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Edge AI Computing Platform 麻豆原创 Size (2020-2031)
10.2 Middle East & Africa Edge AI Computing Platform 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Edge AI Computing Platform 麻豆原创 Size by Country (2020-2025)
10.4 Middle East & Africa Edge AI Computing Platform 麻豆原创 Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Akira
11.1.1 Akira Company Details
11.1.2 Akira Business Overview
11.1.3 Akira Edge AI Computing Platform Introduction
11.1.4 Akira Revenue in Edge AI Computing Platform Business (2020-2025)
11.1.5 Akira Recent Development
11.2 Nvidia
11.2.1 Nvidia Company Details
11.2.2 Nvidia Business Overview
11.2.3 Nvidia Edge AI Computing Platform Introduction
11.2.4 Nvidia Revenue in Edge AI Computing Platform Business (2020-2025)
11.2.5 Nvidia Recent Development
11.3 Microsoft
11.3.1 Microsoft Company Details
11.3.2 Microsoft Business Overview
11.3.3 Microsoft Edge AI Computing Platform Introduction
11.3.4 Microsoft Revenue in Edge AI Computing Platform Business (2020-2025)
11.3.5 Microsoft Recent Development
11.4 ClearBlade
11.4.1 ClearBlade Company Details
11.4.2 ClearBlade Business Overview
11.4.3 ClearBlade Edge AI Computing Platform Introduction
11.4.4 ClearBlade Revenue in Edge AI Computing Platform Business (2020-2025)
11.4.5 ClearBlade Recent Development
11.5 Google
11.5.1 Google Company Details
11.5.2 Google Business Overview
11.5.3 Google Edge AI Computing Platform Introduction
11.5.4 Google Revenue in Edge AI Computing Platform Business (2020-2025)
11.5.5 Google Recent Development
11.6 Aetina
11.6.1 Aetina Company Details
11.6.2 Aetina Business Overview
11.6.3 Aetina Edge AI Computing Platform Introduction
11.6.4 Aetina Revenue in Edge AI Computing Platform Business (2020-2025)
11.6.5 Aetina Recent Development
11.7 Blaize
11.7.1 Blaize Company Details
11.7.2 Blaize Business Overview
11.7.3 Blaize Edge AI Computing Platform Introduction
11.7.4 Blaize Revenue in Edge AI Computing Platform Business (2020-2025)
11.7.5 Blaize Recent Development
11.8 Huawei
11.8.1 Huawei Company Details
11.8.2 Huawei Business Overview
11.8.3 Huawei Edge AI Computing Platform Introduction
11.8.4 Huawei Revenue in Edge AI Computing Platform Business (2020-2025)
11.8.5 Huawei Recent Development
11.9 Senslab
11.9.1 Senslab Company Details
11.9.2 Senslab Business Overview
11.9.3 Senslab Edge AI Computing Platform Introduction
11.9.4 Senslab Revenue in Edge AI Computing Platform Business (2020-2025)
11.9.5 Senslab Recent Development
11.10 Advantech
11.10.1 Advantech Company Details
11.10.2 Advantech Business Overview
11.10.3 Advantech Edge AI Computing Platform Introduction
11.10.4 Advantech Revenue in Edge AI Computing Platform Business (2020-2025)
11.10.5 Advantech 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 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 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:

Akira
Nvidia
Microsoft
ClearBlade
Google
Aetina
Blaize
Huawei
Senslab
Advantech

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