
The global market for Edge-based 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.
North American market for Edge-based AI was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Edge-based AI was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Edge-based AI was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Edge-based AI include IBM, Microsoft, Intel, Google, TIBCO, Cloudera, Nutanix, Foghorn Systems and SWIM.AI, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Edge-based AI, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Edge-based AI by region & country, by Type, and by Application.
The Edge-based 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-based AI.
Market Segmentation
By Company
IBM
Microsoft
Intel
Google
TIBCO
Cloudera
Nutanix
Foghorn Systems
SWIM.AI
Anagog
Tact.ai
Bragi
XNOR.AI
Octonion
Veea Inc
Imagimob
Segment by Type:
Platform and Software ools
Edge AI Services
Segment by Application
Autonomous Vehicles
Access Management
Video Surveillance
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-based 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-based 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-based 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.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Market Overview
1.1 Edge-based AI Product Introduction
1.2 Global Edge-based AI Market Size Forecast
1.3 Edge-based AI Market Trends & Drivers
1.3.1 Edge-based AI Industry Trends
1.3.2 Edge-based AI Market Drivers & Opportunity
1.3.3 Edge-based AI Market Challenges
1.3.4 Edge-based 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-based AI Players Revenue Ranking (2023)
2.2 Global Edge-based AI Revenue by Company (2019-2024)
2.3 Key Companies Edge-based AI Manufacturing Base Distribution and Headquarters
2.4 Key Companies Edge-based AI Product Offered
2.5 Key Companies Time to Begin Mass Production of Edge-based AI
2.6 Edge-based AI Market Competitive Analysis
2.6.1 Edge-based AI Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Edge-based 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-based AI as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Platform and Software ools
3.1.2 Edge AI Services
3.2 Global Edge-based AI Sales Value by Type
3.2.1 Global Edge-based AI Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Edge-based AI Sales Value, by Type (2019-2030)
3.2.3 Global Edge-based AI Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Autonomous Vehicles
4.1.2 Access Management
4.1.3 Video Surveillance
4.1.4 Others
4.2 Global Edge-based AI Sales Value by Application
4.2.1 Global Edge-based AI Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Edge-based AI Sales Value, by Application (2019-2030)
4.2.3 Global Edge-based AI Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Edge-based AI Sales Value by Region
5.1.1 Global Edge-based AI Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Edge-based AI Sales Value by Region (2019-2024)
5.1.3 Global Edge-based AI Sales Value by Region (2025-2030)
5.1.4 Global Edge-based AI Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Edge-based AI Sales Value, 2019-2030
5.2.2 North America Edge-based AI Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Edge-based AI Sales Value, 2019-2030
5.3.2 Europe Edge-based AI Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Edge-based AI Sales Value, 2019-2030
5.4.2 Asia Pacific Edge-based AI Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Edge-based AI Sales Value, 2019-2030
5.5.2 South America Edge-based AI Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Edge-based AI Sales Value, 2019-2030
5.6.2 Middle East & Africa Edge-based AI Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Edge-based AI Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Edge-based AI Sales Value
6.3 United States
6.3.1 United States Edge-based AI Sales Value, 2019-2030
6.3.2 United States Edge-based AI Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Edge-based AI Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Edge-based AI Sales Value, 2019-2030
6.4.2 Europe Edge-based AI Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Edge-based AI Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Edge-based AI Sales Value, 2019-2030
6.5.2 China Edge-based AI Sales Value by Type (%), 2023 VS 2030
6.5.3 China Edge-based AI Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Edge-based AI Sales Value, 2019-2030
6.6.2 Japan Edge-based AI Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Edge-based AI Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Edge-based AI Sales Value, 2019-2030
6.7.2 South Korea Edge-based AI Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Edge-based AI Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Edge-based AI Sales Value, 2019-2030
6.8.2 Southeast Asia Edge-based AI Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Edge-based AI Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Edge-based AI Sales Value, 2019-2030
6.9.2 India Edge-based AI Sales Value by Type (%), 2023 VS 2030
6.9.3 India Edge-based AI Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 IBM
7.1.1 IBM Profile
7.1.2 IBM Main Business
7.1.3 IBM Edge-based AI Products, Services and Solutions
7.1.4 IBM Edge-based AI Revenue (US$ Million) & (2019-2024)
7.1.5 IBM Recent Developments
7.2 Microsoft
7.2.1 Microsoft Profile
7.2.2 Microsoft Main Business
7.2.3 Microsoft Edge-based AI Products, Services and Solutions
7.2.4 Microsoft Edge-based AI Revenue (US$ Million) & (2019-2024)
7.2.5 Microsoft Recent Developments
7.3 Intel
7.3.1 Intel Profile
7.3.2 Intel Main Business
7.3.3 Intel Edge-based AI Products, Services and Solutions
7.3.4 Intel Edge-based AI Revenue (US$ Million) & (2019-2024)
7.3.5 Google Recent Developments
7.4 Google
7.4.1 Google Profile
7.4.2 Google Main Business
7.4.3 Google Edge-based AI Products, Services and Solutions
7.4.4 Google Edge-based AI Revenue (US$ Million) & (2019-2024)
7.4.5 Google Recent Developments
7.5 TIBCO
7.5.1 TIBCO Profile
7.5.2 TIBCO Main Business
7.5.3 TIBCO Edge-based AI Products, Services and Solutions
7.5.4 TIBCO Edge-based AI Revenue (US$ Million) & (2019-2024)
7.5.5 TIBCO Recent Developments
7.6 Cloudera
7.6.1 Cloudera Profile
7.6.2 Cloudera Main Business
7.6.3 Cloudera Edge-based AI Products, Services and Solutions
7.6.4 Cloudera Edge-based AI Revenue (US$ Million) & (2019-2024)
7.6.5 Cloudera Recent Developments
7.7 Nutanix
7.7.1 Nutanix Profile
7.7.2 Nutanix Main Business
7.7.3 Nutanix Edge-based AI Products, Services and Solutions
7.7.4 Nutanix Edge-based AI Revenue (US$ Million) & (2019-2024)
7.7.5 Nutanix Recent Developments
7.8 Foghorn Systems
7.8.1 Foghorn Systems Profile
7.8.2 Foghorn Systems Main Business
7.8.3 Foghorn Systems Edge-based AI Products, Services and Solutions
7.8.4 Foghorn Systems Edge-based AI Revenue (US$ Million) & (2019-2024)
7.8.5 Foghorn Systems Recent Developments
7.9 SWIM.AI
7.9.1 SWIM.AI Profile
7.9.2 SWIM.AI Main Business
7.9.3 SWIM.AI Edge-based AI Products, Services and Solutions
7.9.4 SWIM.AI Edge-based AI Revenue (US$ Million) & (2019-2024)
7.9.5 SWIM.AI Recent Developments
7.10 Anagog
7.10.1 Anagog Profile
7.10.2 Anagog Main Business
7.10.3 Anagog Edge-based AI Products, Services and Solutions
7.10.4 Anagog Edge-based AI Revenue (US$ Million) & (2019-2024)
7.10.5 Anagog Recent Developments
7.11 Tact.ai
7.11.1 Tact.ai Profile
7.11.2 Tact.ai Main Business
7.11.3 Tact.ai Edge-based AI Products, Services and Solutions
7.11.4 Tact.ai Edge-based AI Revenue (US$ Million) & (2019-2024)
7.11.5 Tact.ai Recent Developments
7.12 Bragi
7.12.1 Bragi Profile
7.12.2 Bragi Main Business
7.12.3 Bragi Edge-based AI Products, Services and Solutions
7.12.4 Bragi Edge-based AI Revenue (US$ Million) & (2019-2024)
7.12.5 Bragi Recent Developments
7.13 XNOR.AI
7.13.1 XNOR.AI Profile
7.13.2 XNOR.AI Main Business
7.13.3 XNOR.AI Edge-based AI Products, Services and Solutions
7.13.4 XNOR.AI Edge-based AI Revenue (US$ Million) & (2019-2024)
7.13.5 XNOR.AI Recent Developments
7.14 Octonion
7.14.1 Octonion Profile
7.14.2 Octonion Main Business
7.14.3 Octonion Edge-based AI Products, Services and Solutions
7.14.4 Octonion Edge-based AI Revenue (US$ Million) & (2019-2024)
7.14.5 Octonion Recent Developments
7.15 Veea Inc
7.15.1 Veea Inc Profile
7.15.2 Veea Inc Main Business
7.15.3 Veea Inc Edge-based AI Products, Services and Solutions
7.15.4 Veea Inc Edge-based AI Revenue (US$ Million) & (2019-2024)
7.15.5 Veea Inc Recent Developments
7.16 Imagimob
7.16.1 Imagimob Profile
7.16.2 Imagimob Main Business
7.16.3 Imagimob Edge-based AI Products, Services and Solutions
7.16.4 Imagimob Edge-based AI Revenue (US$ Million) & (2019-2024)
7.16.5 Imagimob Recent Developments
8 Industry Chain Analysis
8.1 Edge-based AI Industrial Chain
8.2 Edge-based 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-based AI Sales Model
8.5.2 Sales Channel
8.5.3 Edge-based 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
IBM
Microsoft
Intel
Google
TIBCO
Cloudera
Nutanix
Foghorn Systems
SWIM.AI
Anagog
Tact.ai
Bragi
XNOR.AI
Octonion
Veea Inc
Imagimob
Ìý
Ìý
*If Applicable.
