The global AI Edge Computing Platform 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.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/87 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for AI Edge 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 AI Edge Computing Platform.
Report Scope
The AI Edge Computing Platform 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 AI Edge 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 AI Edge Computing Platform 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
Blaize
Adapdix
ClearBlade
Alef Edge
Infiot
HPE
Johnson Controls
NVIDIA
GIGABYTE
AI EDGE
IBM
Aetina
Litemax
Atos
Akamai
Moxa
Axiomtek
Intel
Lenovo
Advantech
Siemens
AiSeed
Cisco
Tact.ai
Nutanix
Rigado
Huawei
Segment by Type
IoT Edge
Local Edge
Network Edge
Segment by Application
Automobile
Medical
Chemical
Public Infrastructure
Transportation and Logistics
Others
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 AI Edge Computing Platform 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.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Edge Computing Platform Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 IoT Edge
1.2.3 Local Edge
1.2.4 Network Edge
1.3 Market by Application
1.3.1 Global AI Edge Computing Platform Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Automobile
1.3.3 Medical
1.3.4 Chemical
1.3.5 Public Infrastructure
1.3.6 Transportation and Logistics
1.3.7 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Edge Computing Platform Market Perspective (2019-2030)
2.2 AI Edge Computing Platform Growth Trends by Region
2.2.1 Global AI Edge Computing Platform Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI Edge Computing Platform Historic Market Size by Region (2019-2024)
2.2.3 AI Edge Computing Platform Forecasted Market Size by Region (2025-2030)
2.3 AI Edge Computing Platform Market Dynamics
2.3.1 AI Edge Computing Platform Industry Trends
2.3.2 AI Edge Computing Platform Market Drivers
2.3.3 AI Edge Computing Platform Market Challenges
2.3.4 AI Edge Computing Platform Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Edge Computing Platform Players by Revenue
3.1.1 Global Top AI Edge Computing Platform Players by Revenue (2019-2024)
3.1.2 Global AI Edge Computing Platform Revenue Market Share by Players (2019-2024)
3.2 Global AI Edge Computing Platform Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI Edge Computing Platform Revenue
3.4 Global AI Edge Computing Platform Market Concentration Ratio
3.4.1 Global AI Edge Computing Platform Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Edge Computing Platform Revenue in 2023
3.5 AI Edge Computing Platform Key Players Head office and Area Served
3.6 Key Players AI Edge Computing Platform Product Solution and Service
3.7 Date of Enter into AI Edge Computing Platform Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Edge Computing Platform Breakdown Data by Type
4.1 Global AI Edge Computing Platform Historic Market Size by Type (2019-2024)
4.2 Global AI Edge Computing Platform Forecasted Market Size by Type (2025-2030)
5 AI Edge Computing Platform Breakdown Data by Application
5.1 Global AI Edge Computing Platform Historic Market Size by Application (2019-2024)
5.2 Global AI Edge Computing Platform Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI Edge Computing Platform Market Size (2019-2030)
6.2 North America AI Edge Computing Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI Edge Computing Platform Market Size by Country (2019-2024)
6.4 North America AI Edge Computing Platform Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Edge Computing Platform Market Size (2019-2030)
7.2 Europe AI Edge Computing Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI Edge Computing Platform Market Size by Country (2019-2024)
7.4 Europe AI Edge Computing Platform 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 AI Edge Computing Platform Market Size (2019-2030)
8.2 Asia-Pacific AI Edge Computing Platform Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI Edge Computing Platform Market Size by Region (2019-2024)
8.4 Asia-Pacific AI Edge Computing Platform 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 AI Edge Computing Platform Market Size (2019-2030)
9.2 Latin America AI Edge Computing Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI Edge Computing Platform Market Size by Country (2019-2024)
9.4 Latin America AI Edge Computing Platform Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Edge Computing Platform Market Size (2019-2030)
10.2 Middle East & Africa AI Edge Computing Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI Edge Computing Platform Market Size by Country (2019-2024)
10.4 Middle East & Africa AI Edge Computing Platform Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Blaize
11.1.1 Blaize Company Detail
11.1.2 Blaize Business Overview
11.1.3 Blaize AI Edge Computing Platform Introduction
11.1.4 Blaize Revenue in AI Edge Computing Platform Business (2019-2024)
11.1.5 Blaize Recent Development
11.2 Adapdix
11.2.1 Adapdix Company Detail
11.2.2 Adapdix Business Overview
11.2.3 Adapdix AI Edge Computing Platform Introduction
11.2.4 Adapdix Revenue in AI Edge Computing Platform Business (2019-2024)
11.2.5 Adapdix Recent Development
11.3 ClearBlade
11.3.1 ClearBlade Company Detail
11.3.2 ClearBlade Business Overview
11.3.3 ClearBlade AI Edge Computing Platform Introduction
11.3.4 ClearBlade Revenue in AI Edge Computing Platform Business (2019-2024)
11.3.5 ClearBlade Recent Development
11.4 Alef Edge
11.4.1 Alef Edge Company Detail
11.4.2 Alef Edge Business Overview
11.4.3 Alef Edge AI Edge Computing Platform Introduction
11.4.4 Alef Edge Revenue in AI Edge Computing Platform Business (2019-2024)
11.4.5 Alef Edge Recent Development
11.5 Infiot
11.5.1 Infiot Company Detail
11.5.2 Infiot Business Overview
11.5.3 Infiot AI Edge Computing Platform Introduction
11.5.4 Infiot Revenue in AI Edge Computing Platform Business (2019-2024)
11.5.5 Infiot Recent Development
11.6 HPE
11.6.1 HPE Company Detail
11.6.2 HPE Business Overview
11.6.3 HPE AI Edge Computing Platform Introduction
11.6.4 HPE Revenue in AI Edge Computing Platform Business (2019-2024)
11.6.5 HPE Recent Development
11.7 Johnson Controls
11.7.1 Johnson Controls Company Detail
11.7.2 Johnson Controls Business Overview
11.7.3 Johnson Controls AI Edge Computing Platform Introduction
11.7.4 Johnson Controls Revenue in AI Edge Computing Platform Business (2019-2024)
11.7.5 Johnson Controls Recent Development
11.8 NVIDIA
11.8.1 NVIDIA Company Detail
11.8.2 NVIDIA Business Overview
11.8.3 NVIDIA AI Edge Computing Platform Introduction
11.8.4 NVIDIA Revenue in AI Edge Computing Platform Business (2019-2024)
11.8.5 NVIDIA Recent Development
11.9 GIGABYTE
11.9.1 GIGABYTE Company Detail
11.9.2 GIGABYTE Business Overview
11.9.3 GIGABYTE AI Edge Computing Platform Introduction
11.9.4 GIGABYTE Revenue in AI Edge Computing Platform Business (2019-2024)
11.9.5 GIGABYTE Recent Development
11.10 AI EDGE
11.10.1 AI EDGE Company Detail
11.10.2 AI EDGE Business Overview
11.10.3 AI EDGE AI Edge Computing Platform Introduction
11.10.4 AI EDGE Revenue in AI Edge Computing Platform Business (2019-2024)
11.10.5 AI EDGE Recent Development
11.11 IBM
11.11.1 IBM Company Detail
11.11.2 IBM Business Overview
11.11.3 IBM AI Edge Computing Platform Introduction
11.11.4 IBM Revenue in AI Edge Computing Platform Business (2019-2024)
11.11.5 IBM Recent Development
11.12 Aetina
11.12.1 Aetina Company Detail
11.12.2 Aetina Business Overview
11.12.3 Aetina AI Edge Computing Platform Introduction
11.12.4 Aetina Revenue in AI Edge Computing Platform Business (2019-2024)
11.12.5 Aetina Recent Development
11.13 Litemax
11.13.1 Litemax Company Detail
11.13.2 Litemax Business Overview
11.13.3 Litemax AI Edge Computing Platform Introduction
11.13.4 Litemax Revenue in AI Edge Computing Platform Business (2019-2024)
11.13.5 Litemax Recent Development
11.14 Atos
11.14.1 Atos Company Detail
11.14.2 Atos Business Overview
11.14.3 Atos AI Edge Computing Platform Introduction
11.14.4 Atos Revenue in AI Edge Computing Platform Business (2019-2024)
11.14.5 Atos Recent Development
11.15 Akamai
11.15.1 Akamai Company Detail
11.15.2 Akamai Business Overview
11.15.3 Akamai AI Edge Computing Platform Introduction
11.15.4 Akamai Revenue in AI Edge Computing Platform Business (2019-2024)
11.15.5 Akamai Recent Development
11.16 Moxa
11.16.1 Moxa Company Detail
11.16.2 Moxa Business Overview
11.16.3 Moxa AI Edge Computing Platform Introduction
11.16.4 Moxa Revenue in AI Edge Computing Platform Business (2019-2024)
11.16.5 Moxa Recent Development
11.17 Axiomtek
11.17.1 Axiomtek Company Detail
11.17.2 Axiomtek Business Overview
11.17.3 Axiomtek AI Edge Computing Platform Introduction
11.17.4 Axiomtek Revenue in AI Edge Computing Platform Business (2019-2024)
11.17.5 Axiomtek Recent Development
11.18 Intel
11.18.1 Intel Company Detail
11.18.2 Intel Business Overview
11.18.3 Intel AI Edge Computing Platform Introduction
11.18.4 Intel Revenue in AI Edge Computing Platform Business (2019-2024)
11.18.5 Intel Recent Development
11.19 Lenovo
11.19.1 Lenovo Company Detail
11.19.2 Lenovo Business Overview
11.19.3 Lenovo AI Edge Computing Platform Introduction
11.19.4 Lenovo Revenue in AI Edge Computing Platform Business (2019-2024)
11.19.5 Lenovo Recent Development
11.20 Advantech
11.20.1 Advantech Company Detail
11.20.2 Advantech Business Overview
11.20.3 Advantech AI Edge Computing Platform Introduction
11.20.4 Advantech Revenue in AI Edge Computing Platform Business (2019-2024)
11.20.5 Advantech Recent Development
11.21 Siemens
11.21.1 Siemens Company Detail
11.21.2 Siemens Business Overview
11.21.3 Siemens AI Edge Computing Platform Introduction
11.21.4 Siemens Revenue in AI Edge Computing Platform Business (2019-2024)
11.21.5 Siemens Recent Development
11.22 AiSeed
11.22.1 AiSeed Company Detail
11.22.2 AiSeed Business Overview
11.22.3 AiSeed AI Edge Computing Platform Introduction
11.22.4 AiSeed Revenue in AI Edge Computing Platform Business (2019-2024)
11.22.5 AiSeed Recent Development
11.23 Cisco
11.23.1 Cisco Company Detail
11.23.2 Cisco Business Overview
11.23.3 Cisco AI Edge Computing Platform Introduction
11.23.4 Cisco Revenue in AI Edge Computing Platform Business (2019-2024)
11.23.5 Cisco Recent Development
11.24 Tact.ai
11.24.1 Tact.ai Company Detail
11.24.2 Tact.ai Business Overview
11.24.3 Tact.ai AI Edge Computing Platform Introduction
11.24.4 Tact.ai Revenue in AI Edge Computing Platform Business (2019-2024)
11.24.5 Tact.ai Recent Development
11.25 Nutanix
11.25.1 Nutanix Company Detail
11.25.2 Nutanix Business Overview
11.25.3 Nutanix AI Edge Computing Platform Introduction
11.25.4 Nutanix Revenue in AI Edge Computing Platform Business (2019-2024)
11.25.5 Nutanix Recent Development
11.26 Rigado
11.26.1 Rigado Company Detail
11.26.2 Rigado Business Overview
11.26.3 Rigado AI Edge Computing Platform Introduction
11.26.4 Rigado Revenue in AI Edge Computing Platform Business (2019-2024)
11.26.5 Rigado Recent Development
11.27 Huawei
11.27.1 Huawei Company Detail
11.27.2 Huawei Business Overview
11.27.3 Huawei AI Edge Computing Platform Introduction
11.27.4 Huawei Revenue in AI Edge Computing Platform Business (2019-2024)
11.27.5 Huawei 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
Blaize
Adapdix
ClearBlade
Alef Edge
Infiot
HPE
Johnson Controls
NVIDIA
GIGABYTE
AI EDGE
IBM
Aetina
Litemax
Atos
Akamai
Moxa
Axiomtek
Intel
Lenovo
Advantech
Siemens
AiSeed
Cisco
Tact.ai
Nutanix
Rigado
Huawei
听
听
*If Applicable.
