Industry Growth Insights published a new data on “Edge-based AI Market”. The research report is titled “Edge-based AI Market research by Types (Platform and Software ools, Edge AI Services), By Applications (Autonomous Vehicles, Access Management, Video Surveillance, Others), By Players/Companies IBM, Microsoft, Intel, Google, TIBCO, Cloudera, Nutanix, Foghorn Systems, SWIM.AI, Anagog, Tact.ai, Bragi, XNOR.AI, Octonion, Veea Inc, Imagimob”.
Scope Of The Report
Report Attributes
Report Details
Report Title
Edge-based AI Market Research Report
By Type
Platform and Software ools, Edge AI Services
By Application
Autonomous Vehicles, Access Management, Video Surveillance, Others
By Companies
IBM, Microsoft, Intel, Google, TIBCO, Cloudera, Nutanix, Foghorn Systems, SWIM.AI, Anagog, Tact.ai, Bragi, XNOR.AI, Octonion, Veea Inc, Imagimob
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
191
Number of Tables & Figures
134
Customization Available
Yes, the report can be customized as per your need.
Global Edge-based AI Market Report Segments:
The global Edge-based AI market is segmented on the basis of:
Types
Platform and Software ools, Edge AI Services
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Autonomous Vehicles, Access Management, Video Surveillance, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- IBM
- Microsoft
- Intel
- TIBCO
- Cloudera
- Nutanix
- Foghorn Systems
- SWIM.AI
- Anagog
- Tact.ai
- Bragi
- XNOR.AI
- Octonion
- Veea Inc
- Imagimob
Highlights of The Edge-based AI Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Platform and Software ools
- Edge AI Services
- By Application:
- Autonomous Vehicles
- Access Management
- Video Surveillance
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Edge-based AI Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Edge-based AI is a type of artificial intelligence that uses the power of the internet to improve decision making. Edge-based AI can process large amounts of data more quickly and accurately than traditional AI systems, which allows it to make better decisions faster.
Some of the major companies in the edge-based ai market are IBM, Microsoft, Intel, Google, TIBCO, Cloudera, Nutanix, Foghorn Systems, SWIM.AI, Anagog, Tact.ai, Bragi, XNOR.AI, Octonion, Veea Inc, Imagimob.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Edge-based AI Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Edge-based AI Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Edge-based AI Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Edge-based AI Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Edge-based AI Market Size & Forecast, 2018-2028 4.5.1 Edge-based AI Market Size and Y-o-Y Growth 4.5.2 Edge-based AI Market Absolute $ Opportunity
Chapter 5 Global Edge-based AI Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Edge-based AI Market Size Forecast by Type
5.2.1 Platform and Software ools
5.2.2 Edge AI Services
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Edge-based AI Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Edge-based AI Market Size Forecast by Applications
6.2.1 Autonomous Vehicles
6.2.2 Access Management
6.2.3 Video Surveillance
6.2.4 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Edge-based AI Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Edge-based AI Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Edge-based AI Analysis and Forecast
9.1 Introduction
9.2 North America Edge-based AI Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Edge-based AI Market Size Forecast by Type
9.6.1 Platform and Software ools
9.6.2 Edge AI Services
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Edge-based AI Market Size Forecast by Applications
9.10.1 Autonomous Vehicles
9.10.2 Access Management
9.10.3 Video Surveillance
9.10.4 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Edge-based AI Analysis and Forecast
10.1 Introduction
10.2 Europe Edge-based AI Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Edge-based AI Market Size Forecast by Type
10.6.1 Platform and Software ools
10.6.2 Edge AI Services
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Edge-based AI Market Size Forecast by Applications
10.10.1 Autonomous Vehicles
10.10.2 Access Management
10.10.3 Video Surveillance
10.10.4 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Edge-based AI Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Edge-based AI Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Edge-based AI Market Size Forecast by Type
11.6.1 Platform and Software ools
11.6.2 Edge AI Services
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Edge-based AI Market Size Forecast by Applications
11.10.1 Autonomous Vehicles
11.10.2 Access Management
11.10.3 Video Surveillance
11.10.4 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Edge-based AI Analysis and Forecast
12.1 Introduction
12.2 Latin America Edge-based AI Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Edge-based AI Market Size Forecast by Type
12.6.1 Platform and Software ools
12.6.2 Edge AI Services
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Edge-based AI Market Size Forecast by Applications
12.10.1 Autonomous Vehicles
12.10.2 Access Management
12.10.3 Video Surveillance
12.10.4 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Edge-based AI Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Edge-based AI Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Edge-based AI Market Size Forecast by Type
13.6.1 Platform and Software ools
13.6.2 Edge AI Services
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Edge-based AI Market Size Forecast by Applications
13.10.1 Autonomous Vehicles
13.10.2 Access Management
13.10.3 Video Surveillance
13.10.4 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Edge-based AI Market: Competitive Dashboard
14.2 Global Edge-based AI Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 IBM
14.3.2 Microsoft
14.3.3 Intel
14.3.4 Google
14.3.5 TIBCO
14.3.6 Cloudera
14.3.7 Nutanix
14.3.8 Foghorn Systems
14.3.9 SWIM.AI
14.3.10 Anagog
14.3.11 Tact.ai
14.3.12 Bragi
14.3.13 XNOR.AI
14.3.14 Octonion
14.3.15 Veea Inc
14.3.16 Imagimob