
The global AI Computing Hardware in Edge Computing market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for AI Computing Hardware in Edge Computing is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for AI Computing Hardware in Edge Computing is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for AI Computing Hardware in Edge Computing in Transportation and Logistics is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of AI Computing Hardware in Edge Computing include Dell, HPE, Lenovo, Cisco, Nokia, Huawei, Gigabyte Technology, Fujitsu and ADLINK, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for AI Computing Hardware in Edge Computing, 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 Computing Hardware in Edge Computing.
The AI Computing Hardware in Edge Computing market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global AI Computing Hardware in Edge Computing 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 Computing Hardware in Edge Computing 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.
By Company
Dell
HPE
Lenovo
Cisco
Nokia
Huawei
Gigabyte Technology
Fujitsu
ADLINK
Atos
Advantech
Sugon
Inspur
OnLogic
Trusme
Segment by Type
Edge Servers
Edge Gateway
Other
Segment by Application
Transportation and Logistics
Manufacturing
Energy and Utilities
Healthcare and Life Sciences
IT and Telecom
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
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, 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 Computing Hardware in Edge Computing companies’ 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 key companies in the market in detail, including product revenue, 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 Computing Hardware in Edge Computing Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Edge Servers
1.2.3 Edge Gateway
1.2.4 Other
1.3 Market by Application
1.3.1 Global AI Computing Hardware in Edge Computing Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Transportation and Logistics
1.3.3 Manufacturing
1.3.4 Energy and Utilities
1.3.5 Healthcare and Life Sciences
1.3.6 IT and Telecom
1.3.7 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Computing Hardware in Edge Computing Market Perspective (2018-2029)
2.2 AI Computing Hardware in Edge Computing Growth Trends by Region
2.2.1 Global AI Computing Hardware in Edge Computing Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 AI Computing Hardware in Edge Computing Historic Market Size by Region (2018-2023)
2.2.3 AI Computing Hardware in Edge Computing Forecasted Market Size by Region (2024-2029)
2.3 AI Computing Hardware in Edge Computing Market Dynamics
2.3.1 AI Computing Hardware in Edge Computing Industry Trends
2.3.2 AI Computing Hardware in Edge Computing Market Drivers
2.3.3 AI Computing Hardware in Edge Computing Market Challenges
2.3.4 AI Computing Hardware in Edge Computing Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Computing Hardware in Edge Computing Players by Revenue
3.1.1 Global Top AI Computing Hardware in Edge Computing Players by Revenue (2018-2023)
3.1.2 Global AI Computing Hardware in Edge Computing Revenue Market Share by Players (2018-2023)
3.2 Global AI Computing Hardware in Edge Computing Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI Computing Hardware in Edge Computing Revenue
3.4 Global AI Computing Hardware in Edge Computing Market Concentration Ratio
3.4.1 Global AI Computing Hardware in Edge Computing Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Computing Hardware in Edge Computing Revenue in 2022
3.5 AI Computing Hardware in Edge Computing Key Players Head office and Area Served
3.6 Key Players AI Computing Hardware in Edge Computing Product Solution and Service
3.7 Date of Enter into AI Computing Hardware in Edge Computing Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Computing Hardware in Edge Computing Breakdown Data by Type
4.1 Global AI Computing Hardware in Edge Computing Historic Market Size by Type (2018-2023)
4.2 Global AI Computing Hardware in Edge Computing Forecasted Market Size by Type (2024-2029)
5 AI Computing Hardware in Edge Computing Breakdown Data by Application
5.1 Global AI Computing Hardware in Edge Computing Historic Market Size by Application (2018-2023)
5.2 Global AI Computing Hardware in Edge Computing Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America AI Computing Hardware in Edge Computing Market Size (2018-2029)
6.2 North America AI Computing Hardware in Edge Computing Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America AI Computing Hardware in Edge Computing Market Size by Country (2018-2023)
6.4 North America AI Computing Hardware in Edge Computing Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Computing Hardware in Edge Computing Market Size (2018-2029)
7.2 Europe AI Computing Hardware in Edge Computing Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe AI Computing Hardware in Edge Computing Market Size by Country (2018-2023)
7.4 Europe AI Computing Hardware in Edge Computing Market Size by Country (2024-2029)
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 Computing Hardware in Edge Computing Market Size (2018-2029)
8.2 Asia-Pacific AI Computing Hardware in Edge Computing Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific AI Computing Hardware in Edge Computing Market Size by Region (2018-2023)
8.4 Asia-Pacific AI Computing Hardware in Edge Computing Market Size by Region (2024-2029)
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 Computing Hardware in Edge Computing Market Size (2018-2029)
9.2 Latin America AI Computing Hardware in Edge Computing Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America AI Computing Hardware in Edge Computing Market Size by Country (2018-2023)
9.4 Latin America AI Computing Hardware in Edge Computing Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Computing Hardware in Edge Computing Market Size (2018-2029)
10.2 Middle East & Africa AI Computing Hardware in Edge Computing Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa AI Computing Hardware in Edge Computing Market Size by Country (2018-2023)
10.4 Middle East & Africa AI Computing Hardware in Edge Computing Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Dell
11.1.1 Dell Company Detail
11.1.2 Dell Business Overview
11.1.3 Dell AI Computing Hardware in Edge Computing Introduction
11.1.4 Dell Revenue in AI Computing Hardware in Edge Computing Business (2018-2023)
11.1.5 Dell Recent Development
11.2 HPE
11.2.1 HPE Company Detail
11.2.2 HPE Business Overview
11.2.3 HPE AI Computing Hardware in Edge Computing Introduction
11.2.4 HPE Revenue in AI Computing Hardware in Edge Computing Business (2018-2023)
11.2.5 HPE Recent Development
11.3 Lenovo
11.3.1 Lenovo Company Detail
11.3.2 Lenovo Business Overview
11.3.3 Lenovo AI Computing Hardware in Edge Computing Introduction
11.3.4 Lenovo Revenue in AI Computing Hardware in Edge Computing Business (2018-2023)
11.3.5 Lenovo Recent Development
11.4 Cisco
11.4.1 Cisco Company Detail
11.4.2 Cisco Business Overview
11.4.3 Cisco AI Computing Hardware in Edge Computing Introduction
11.4.4 Cisco Revenue in AI Computing Hardware in Edge Computing Business (2018-2023)
11.4.5 Cisco Recent Development
11.5 Nokia
11.5.1 Nokia Company Detail
11.5.2 Nokia Business Overview
11.5.3 Nokia AI Computing Hardware in Edge Computing Introduction
11.5.4 Nokia Revenue in AI Computing Hardware in Edge Computing Business (2018-2023)
11.5.5 Nokia Recent Development
11.6 Huawei
11.6.1 Huawei Company Detail
11.6.2 Huawei Business Overview
11.6.3 Huawei AI Computing Hardware in Edge Computing Introduction
11.6.4 Huawei Revenue in AI Computing Hardware in Edge Computing Business (2018-2023)
11.6.5 Huawei Recent Development
11.7 Gigabyte Technology
11.7.1 Gigabyte Technology Company Detail
11.7.2 Gigabyte Technology Business Overview
11.7.3 Gigabyte Technology AI Computing Hardware in Edge Computing Introduction
11.7.4 Gigabyte Technology Revenue in AI Computing Hardware in Edge Computing Business (2018-2023)
11.7.5 Gigabyte Technology Recent Development
11.8 Fujitsu
11.8.1 Fujitsu Company Detail
11.8.2 Fujitsu Business Overview
11.8.3 Fujitsu AI Computing Hardware in Edge Computing Introduction
11.8.4 Fujitsu Revenue in AI Computing Hardware in Edge Computing Business (2018-2023)
11.8.5 Fujitsu Recent Development
11.9 ADLINK
11.9.1 ADLINK Company Detail
11.9.2 ADLINK Business Overview
11.9.3 ADLINK AI Computing Hardware in Edge Computing Introduction
11.9.4 ADLINK Revenue in AI Computing Hardware in Edge Computing Business (2018-2023)
11.9.5 ADLINK Recent Development
11.10 Atos
11.10.1 Atos Company Detail
11.10.2 Atos Business Overview
11.10.3 Atos AI Computing Hardware in Edge Computing Introduction
11.10.4 Atos Revenue in AI Computing Hardware in Edge Computing Business (2018-2023)
11.10.5 Atos Recent Development
11.11 Advantech
11.11.1 Advantech Company Detail
11.11.2 Advantech Business Overview
11.11.3 Advantech AI Computing Hardware in Edge Computing Introduction
11.11.4 Advantech Revenue in AI Computing Hardware in Edge Computing Business (2018-2023)
11.11.5 Advantech Recent Development
11.12 Sugon
11.12.1 Sugon Company Detail
11.12.2 Sugon Business Overview
11.12.3 Sugon AI Computing Hardware in Edge Computing Introduction
11.12.4 Sugon Revenue in AI Computing Hardware in Edge Computing Business (2018-2023)
11.12.5 Sugon Recent Development
11.13 Inspur
11.13.1 Inspur Company Detail
11.13.2 Inspur Business Overview
11.13.3 Inspur AI Computing Hardware in Edge Computing Introduction
11.13.4 Inspur Revenue in AI Computing Hardware in Edge Computing Business (2018-2023)
11.13.5 Inspur Recent Development
11.14 OnLogic
11.14.1 OnLogic Company Detail
11.14.2 OnLogic Business Overview
11.14.3 OnLogic AI Computing Hardware in Edge Computing Introduction
11.14.4 OnLogic Revenue in AI Computing Hardware in Edge Computing Business (2018-2023)
11.14.5 OnLogic Recent Development
11.15 Trusme
11.15.1 Trusme Company Detail
11.15.2 Trusme Business Overview
11.15.3 Trusme AI Computing Hardware in Edge Computing Introduction
11.15.4 Trusme Revenue in AI Computing Hardware in Edge Computing Business (2018-2023)
11.15.5 Trusme 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
Dell
HPE
Lenovo
Cisco
Nokia
Huawei
Gigabyte Technology
Fujitsu
ADLINK
Atos
Advantech
Sugon
Inspur
OnLogic
Trusme
Ìý
Ìý
*If Applicable.
