Global Edge-based AI Market Research Report 2024

Publication ID:

PB505254603

Publication Date:

May 13, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global Edge-based AI 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.
North American market for Edge-based AI is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Edge-based AI is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Edge-based AI in Autonomous Vehicles is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Edge-based AI include IBM, Microsoft, Intel, Google, TIBCO, Cloudera, Nutanix, Foghorn Systems and SWIM.AI, etc. In 2023, 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-based AI, 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.
Report Scope
The Edge-based AI 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 Edge-based AI 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-based AI 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
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
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 Edge-based AI 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.

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-based AI Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Platform and Software ools
1.2.3 Edge AI Services
1.3 Market by Application
1.3.1 Global Edge-based AI Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Autonomous Vehicles
1.3.3 Access Management
1.3.4 Video Surveillance
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Edge-based AI Market Perspective (2019-2030)
2.2 Edge-based AI Growth Trends by Region
2.2.1 Global Edge-based AI Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Edge-based AI Historic Market Size by Region (2019-2024)
2.2.3 Edge-based AI Forecasted Market Size by Region (2025-2030)
2.3 Edge-based AI Market Dynamics
2.3.1 Edge-based AI Industry Trends
2.3.2 Edge-based AI Market Drivers
2.3.3 Edge-based AI Market Challenges
2.3.4 Edge-based AI Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Edge-based AI Players by Revenue
3.1.1 Global Top Edge-based AI Players by Revenue (2019-2024)
3.1.2 Global Edge-based AI Revenue Market Share by Players (2019-2024)
3.2 Global Edge-based AI Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Edge-based AI Revenue
3.4 Global Edge-based AI Market Concentration Ratio
3.4.1 Global Edge-based AI Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Edge-based AI Revenue in 2023
3.5 Edge-based AI Key Players Head office and Area Served
3.6 Key Players Edge-based AI Product Solution and Service
3.7 Date of Enter into Edge-based AI Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Edge-based AI Breakdown Data by Type
4.1 Global Edge-based AI Historic Market Size by Type (2019-2024)
4.2 Global Edge-based AI Forecasted Market Size by Type (2025-2030)
5 Edge-based AI Breakdown Data by Application
5.1 Global Edge-based AI Historic Market Size by Application (2019-2024)
5.2 Global Edge-based AI Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Edge-based AI Market Size (2019-2030)
6.2 North America Edge-based AI Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Edge-based AI Market Size by Country (2019-2024)
6.4 North America Edge-based AI Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Edge-based AI Market Size (2019-2030)
7.2 Europe Edge-based AI Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Edge-based AI Market Size by Country (2019-2024)
7.4 Europe Edge-based AI 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 Edge-based AI Market Size (2019-2030)
8.2 Asia-Pacific Edge-based AI Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Edge-based AI Market Size by Region (2019-2024)
8.4 Asia-Pacific Edge-based AI 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 Edge-based AI Market Size (2019-2030)
9.2 Latin America Edge-based AI Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Edge-based AI Market Size by Country (2019-2024)
9.4 Latin America Edge-based AI Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Edge-based AI Market Size (2019-2030)
10.2 Middle East & Africa Edge-based AI Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Edge-based AI Market Size by Country (2019-2024)
10.4 Middle East & Africa Edge-based AI Market Size by Country (2025-2030)
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-based AI Introduction
11.1.4 IBM Revenue in Edge-based AI Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Detail
11.2.2 Microsoft Business Overview
11.2.3 Microsoft Edge-based AI Introduction
11.2.4 Microsoft Revenue in Edge-based AI Business (2019-2024)
11.2.5 Microsoft Recent Development
11.3 Intel
11.3.1 Intel Company Detail
11.3.2 Intel Business Overview
11.3.3 Intel Edge-based AI Introduction
11.3.4 Intel Revenue in Edge-based AI Business (2019-2024)
11.3.5 Intel Recent Development
11.4 Google
11.4.1 Google Company Detail
11.4.2 Google Business Overview
11.4.3 Google Edge-based AI Introduction
11.4.4 Google Revenue in Edge-based AI Business (2019-2024)
11.4.5 Google Recent Development
11.5 TIBCO
11.5.1 TIBCO Company Detail
11.5.2 TIBCO Business Overview
11.5.3 TIBCO Edge-based AI Introduction
11.5.4 TIBCO Revenue in Edge-based AI Business (2019-2024)
11.5.5 TIBCO Recent Development
11.6 Cloudera
11.6.1 Cloudera Company Detail
11.6.2 Cloudera Business Overview
11.6.3 Cloudera Edge-based AI Introduction
11.6.4 Cloudera Revenue in Edge-based AI Business (2019-2024)
11.6.5 Cloudera Recent Development
11.7 Nutanix
11.7.1 Nutanix Company Detail
11.7.2 Nutanix Business Overview
11.7.3 Nutanix Edge-based AI Introduction
11.7.4 Nutanix Revenue in Edge-based AI Business (2019-2024)
11.7.5 Nutanix Recent Development
11.8 Foghorn Systems
11.8.1 Foghorn Systems Company Detail
11.8.2 Foghorn Systems Business Overview
11.8.3 Foghorn Systems Edge-based AI Introduction
11.8.4 Foghorn Systems Revenue in Edge-based AI Business (2019-2024)
11.8.5 Foghorn Systems Recent Development
11.9 SWIM.AI
11.9.1 SWIM.AI Company Detail
11.9.2 SWIM.AI Business Overview
11.9.3 SWIM.AI Edge-based AI Introduction
11.9.4 SWIM.AI Revenue in Edge-based AI Business (2019-2024)
11.9.5 SWIM.AI Recent Development
11.10 Anagog
11.10.1 Anagog Company Detail
11.10.2 Anagog Business Overview
11.10.3 Anagog Edge-based AI Introduction
11.10.4 Anagog Revenue in Edge-based AI Business (2019-2024)
11.10.5 Anagog Recent Development
11.11 Tact.ai
11.11.1 Tact.ai Company Detail
11.11.2 Tact.ai Business Overview
11.11.3 Tact.ai Edge-based AI Introduction
11.11.4 Tact.ai Revenue in Edge-based AI Business (2019-2024)
11.11.5 Tact.ai Recent Development
11.12 Bragi
11.12.1 Bragi Company Detail
11.12.2 Bragi Business Overview
11.12.3 Bragi Edge-based AI Introduction
11.12.4 Bragi Revenue in Edge-based AI Business (2019-2024)
11.12.5 Bragi Recent Development
11.13 XNOR.AI
11.13.1 XNOR.AI Company Detail
11.13.2 XNOR.AI Business Overview
11.13.3 XNOR.AI Edge-based AI Introduction
11.13.4 XNOR.AI Revenue in Edge-based AI Business (2019-2024)
11.13.5 XNOR.AI Recent Development
11.14 Octonion
11.14.1 Octonion Company Detail
11.14.2 Octonion Business Overview
11.14.3 Octonion Edge-based AI Introduction
11.14.4 Octonion Revenue in Edge-based AI Business (2019-2024)
11.14.5 Octonion Recent Development
11.15 Veea Inc
11.15.1 Veea Inc Company Detail
11.15.2 Veea Inc Business Overview
11.15.3 Veea Inc Edge-based AI Introduction
11.15.4 Veea Inc Revenue in Edge-based AI Business (2019-2024)
11.15.5 Veea Inc Recent Development
11.16 Imagimob
11.16.1 Imagimob Company Detail
11.16.2 Imagimob Business Overview
11.16.3 Imagimob Edge-based AI Introduction
11.16.4 Imagimob Revenue in Edge-based AI Business (2019-2024)
11.16.5 Imagimob 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
Microsoft
Intel
Google
TIBCO
Cloudera
Nutanix
Foghorn Systems
SWIM.AI
Anagog
Tact.ai
Bragi
XNOR.AI
Octonion
Veea Inc
Imagimob

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