Global Edge Computing and Machine Learning Market Research Report 2023

Publication ID:

PB501237124

Publication Date:

January 4, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Highlights
The global Edge Computing and Machine Learning 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 Edge Computing and Machine Learning 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 Edge Computing and Machine Learning 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 Edge Computing and Machine Learning in Automotive 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 Edge Computing and Machine Learning include IBM, Amazon Web Services, Microsoft, Cisco, Dell Technologies, HPE, Huawei, GE and Nokia, 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 Edge Computing and Machine Learning, 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 Computing and Machine Learning.
The Edge Computing and Machine Learning 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 Edge Computing and Machine Learning 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 Computing and Machine Learning 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
IBM
Amazon Web Services
Microsoft
Cisco
Dell Technologies
HPE
Huawei
GE
Nokia
ADLINK
Litmus Automation
FogHorn Systems
Vapor IO
MachineShop (EdgeIQ)
Saguna Networks
Segment by Type
Hardware
Software and Services
Segment by Application
Automotive
Manufacturing
Retail
Agriculture
Healthcare
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 Edge Computing and Machine Learning 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 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.

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 Edge Computing and Machine Learning Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Hardware
1.2.3 Software and Services
1.3 Market by Application
1.3.1 Global Edge Computing and Machine Learning Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Automotive
1.3.3 Manufacturing
1.3.4 Retail
1.3.5 Agriculture
1.3.6 Healthcare
1.3.7 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Edge Computing and Machine Learning Market Perspective (2018-2029)
2.2 Edge Computing and Machine Learning Growth Trends by Region
2.2.1 Global Edge Computing and Machine Learning Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Edge Computing and Machine Learning Historic Market Size by Region (2018-2023)
2.2.3 Edge Computing and Machine Learning Forecasted Market Size by Region (2024-2029)
2.3 Edge Computing and Machine Learning Market Dynamics
2.3.1 Edge Computing and Machine Learning Industry Trends
2.3.2 Edge Computing and Machine Learning Market Drivers
2.3.3 Edge Computing and Machine Learning Market Challenges
2.3.4 Edge Computing and Machine Learning Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Edge Computing and Machine Learning Players by Revenue
3.1.1 Global Top Edge Computing and Machine Learning Players by Revenue (2018-2023)
3.1.2 Global Edge Computing and Machine Learning Revenue Market Share by Players (2018-2023)
3.2 Global Edge Computing and Machine Learning Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Edge Computing and Machine Learning Revenue
3.4 Global Edge Computing and Machine Learning Market Concentration Ratio
3.4.1 Global Edge Computing and Machine Learning Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Edge Computing and Machine Learning Revenue in 2022
3.5 Edge Computing and Machine Learning Key Players Head office and Area Served
3.6 Key Players Edge Computing and Machine Learning Product Solution and Service
3.7 Date of Enter into Edge Computing and Machine Learning Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Edge Computing and Machine Learning Breakdown Data by Type
4.1 Global Edge Computing and Machine Learning Historic Market Size by Type (2018-2023)
4.2 Global Edge Computing and Machine Learning Forecasted Market Size by Type (2024-2029)
5 Edge Computing and Machine Learning Breakdown Data by Application
5.1 Global Edge Computing and Machine Learning Historic Market Size by Application (2018-2023)
5.2 Global Edge Computing and Machine Learning Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Edge Computing and Machine Learning Market Size (2018-2029)
6.2 North America Edge Computing and Machine Learning Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Edge Computing and Machine Learning Market Size by Country (2018-2023)
6.4 North America Edge Computing and Machine Learning Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Edge Computing and Machine Learning Market Size (2018-2029)
7.2 Europe Edge Computing and Machine Learning Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Edge Computing and Machine Learning Market Size by Country (2018-2023)
7.4 Europe Edge Computing and Machine Learning 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 Edge Computing and Machine Learning Market Size (2018-2029)
8.2 Asia-Pacific Edge Computing and Machine Learning Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Edge Computing and Machine Learning Market Size by Region (2018-2023)
8.4 Asia-Pacific Edge Computing and Machine Learning 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 Edge Computing and Machine Learning Market Size (2018-2029)
9.2 Latin America Edge Computing and Machine Learning Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Edge Computing and Machine Learning Market Size by Country (2018-2023)
9.4 Latin America Edge Computing and Machine Learning Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Edge Computing and Machine Learning Market Size (2018-2029)
10.2 Middle East & Africa Edge Computing and Machine Learning Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Edge Computing and Machine Learning Market Size by Country (2018-2023)
10.4 Middle East & Africa Edge Computing and Machine Learning Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Edge Computing and Machine Learning Introduction
11.1.4 IBM Revenue in Edge Computing and Machine Learning Business (2018-2023)
11.1.5 IBM Recent Development
11.2 Amazon Web Services
11.2.1 Amazon Web Services Company Detail
11.2.2 Amazon Web Services Business Overview
11.2.3 Amazon Web Services Edge Computing and Machine Learning Introduction
11.2.4 Amazon Web Services Revenue in Edge Computing and Machine Learning Business (2018-2023)
11.2.5 Amazon Web Services Recent Development
11.3 Microsoft
11.3.1 Microsoft Company Detail
11.3.2 Microsoft Business Overview
11.3.3 Microsoft Edge Computing and Machine Learning Introduction
11.3.4 Microsoft Revenue in Edge Computing and Machine Learning Business (2018-2023)
11.3.5 Microsoft Recent Development
11.4 Cisco
11.4.1 Cisco Company Detail
11.4.2 Cisco Business Overview
11.4.3 Cisco Edge Computing and Machine Learning Introduction
11.4.4 Cisco Revenue in Edge Computing and Machine Learning Business (2018-2023)
11.4.5 Cisco Recent Development
11.5 Dell Technologies
11.5.1 Dell Technologies Company Detail
11.5.2 Dell Technologies Business Overview
11.5.3 Dell Technologies Edge Computing and Machine Learning Introduction
11.5.4 Dell Technologies Revenue in Edge Computing and Machine Learning Business (2018-2023)
11.5.5 Dell Technologies Recent Development
11.6 HPE
11.6.1 HPE Company Detail
11.6.2 HPE Business Overview
11.6.3 HPE Edge Computing and Machine Learning Introduction
11.6.4 HPE Revenue in Edge Computing and Machine Learning Business (2018-2023)
11.6.5 HPE Recent Development
11.7 Huawei
11.7.1 Huawei Company Detail
11.7.2 Huawei Business Overview
11.7.3 Huawei Edge Computing and Machine Learning Introduction
11.7.4 Huawei Revenue in Edge Computing and Machine Learning Business (2018-2023)
11.7.5 Huawei Recent Development
11.8 GE
11.8.1 GE Company Detail
11.8.2 GE Business Overview
11.8.3 GE Edge Computing and Machine Learning Introduction
11.8.4 GE Revenue in Edge Computing and Machine Learning Business (2018-2023)
11.8.5 GE Recent Development
11.9 Nokia
11.9.1 Nokia Company Detail
11.9.2 Nokia Business Overview
11.9.3 Nokia Edge Computing and Machine Learning Introduction
11.9.4 Nokia Revenue in Edge Computing and Machine Learning Business (2018-2023)
11.9.5 Nokia Recent Development
11.10 ADLINK
11.10.1 ADLINK Company Detail
11.10.2 ADLINK Business Overview
11.10.3 ADLINK Edge Computing and Machine Learning Introduction
11.10.4 ADLINK Revenue in Edge Computing and Machine Learning Business (2018-2023)
11.10.5 ADLINK Recent Development
11.11 Litmus Automation
11.11.1 Litmus Automation Company Detail
11.11.2 Litmus Automation Business Overview
11.11.3 Litmus Automation Edge Computing and Machine Learning Introduction
11.11.4 Litmus Automation Revenue in Edge Computing and Machine Learning Business (2018-2023)
11.11.5 Litmus Automation Recent Development
11.12 FogHorn Systems
11.12.1 FogHorn Systems Company Detail
11.12.2 FogHorn Systems Business Overview
11.12.3 FogHorn Systems Edge Computing and Machine Learning Introduction
11.12.4 FogHorn Systems Revenue in Edge Computing and Machine Learning Business (2018-2023)
11.12.5 FogHorn Systems Recent Development
11.13 Vapor IO
11.13.1 Vapor IO Company Detail
11.13.2 Vapor IO Business Overview
11.13.3 Vapor IO Edge Computing and Machine Learning Introduction
11.13.4 Vapor IO Revenue in Edge Computing and Machine Learning Business (2018-2023)
11.13.5 Vapor IO Recent Development
11.14 MachineShop (EdgeIQ)
11.14.1 MachineShop (EdgeIQ) Company Detail
11.14.2 MachineShop (EdgeIQ) Business Overview
11.14.3 MachineShop (EdgeIQ) Edge Computing and Machine Learning Introduction
11.14.4 MachineShop (EdgeIQ) Revenue in Edge Computing and Machine Learning Business (2018-2023)
11.14.5 MachineShop (EdgeIQ) Recent Development
11.15 Saguna Networks
11.15.1 Saguna Networks Company Detail
11.15.2 Saguna Networks Business Overview
11.15.3 Saguna Networks Edge Computing and Machine Learning Introduction
11.15.4 Saguna Networks Revenue in Edge Computing and Machine Learning Business (2018-2023)
11.15.5 Saguna Networks 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

Companies Mentioned:

IBM
Amazon Web Services
Microsoft
Cisco
Dell Technologies
HPE
Huawei
GE
Nokia
ADLINK
Litmus Automation
FogHorn Systems
Vapor IO
MachineShop (EdgeIQ)
Saguna Networks

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