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Edge AI Software Market by Component (Solutions, Services), Data Source, Application (Autonomous Vehicles, Access Management, Video Surveillance, Remote Monitoring, Predictive Maintenance, Telemetry), Vertical, and Region - Global Forecast to 2023

  • ID: 4752886
  • Report
  • Region: Global
  • 139 Pages
  • Markets and Markets
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The Global Edge Artificial Intelligence (AI) Software Market Size to Grow at a Compound Annual Growth Rate (CAGR) of 26.5% During the Forecast Period

FEATURED COMPANIES

  • Anagog
  • Bragi
  • Google
  • Imagimob
  • Microsoft
  • Octonion
  • MORE

The global edge Artificial Intelligence (AI) software market size to grow at a Compound Annual Growth Rate (CAGR) of 26.5% during the forecast period

The author forecasts the global edge AI software market size to grow from USD 356 million in 2018 to USD 1,152 million by 2023, at a CAGR of 26.5% during 2018–2023. The major growth factors for the market include the increasing amounts of enterprise workloads on the cloud and the rapid growth in the number of intelligent applications. Privacy and security concerns related to edge AI solutions may restrain market growth.

The autonomous vehicles application is estimated to grow at the highest rate during the forecast period

The edge AI software market by application includes autonomous vehicles; access management; video surveillance; remote monitoring and predictive maintenance; telemetry; energy management and others. The autonomous vehicles application is expected to grow at the highest rate, due to the increased demand for edge AI to support autonomous and connected vehicles’ infrastructure.

The mobile data segment is estimated to grow at the highest rate during the forecast period

Based on data sources, the edge AI software market has been segmented into video and image recognition. speech recognition, biometric data, sensor data, and mobile data source. The mobile data source segment is expected to grow at the highest rate during the forecast period, due to the increasing demand to deploy edge AI software to analyze huge amounts of data generated by mobile devices.

Among regions, Asia Pacific (APAC) is estimated to grow at the highest CAGR during the forecast period

In the edge AI software market by region, APAC is expected to grow at the highest rate during the forecast period. The growth in the number of AI vendors in major APAC countries, such as China, India, and Japan and technological advancements, is expected to be a key growth driver for the market in APAC.

In-depth interviews were conducted with Chief Executive Officers (CEOs), marketing directors, innovation and technology directors, and executives from various key organizations operating in the edge AI software market.

  • By Company: Tier I: 15%, Tier II: 42%, and Tier III: 43%
  • By Designation: C-Level: 62%, Director Level: 20%, and Others: 18%
  • By Region: Europe: 20%, APAC: 30%, North America: 40%, MEA: 5%, and Latin America: 5%

The report includes the study of the key players offering edge AI software solutions. It profiles major vendors in the global edge AI software market including IBM (US), Google (US), Microsoft (US), AWS (US), Nutanix (US), TIBCO (US), Octonion (Switzerland), SWIM.AI (US), Imagimob (Sweden), Anagog (Israel), Foghorn Systems (US), XNOR.AI (US), Bragi (Germany), Invision.AI (Canada), Tact.ai (US), and Veea Systems (England). It also includes an in-depth competitive analysis of the key players in the edge AI software market, along with their company profiles, business overviews, product offerings, recent developments, and market strategies.

Research Coverage
The report segments the global edge AI software market by component, data source, application, vertical, and region. The component segment comprises solutions and services. The solution segment in the edge AI software market is also sub divided into software tools and platform. The services segment is also sub segmented into training and consulting, system integration and testing, and support and maintenance. The edge AI software market by data source has been categorized into video and image recognition, speech recognition, biometric data, sensor data, and mobile data. The edge AI software market by application has been categorized into autonomous vehicles, access management, video surveillance, remote monitoring, and predictive maintenance, telemetry, energy management and others (point-of-sales, field service support, precision agriculture, Augmented Reality (AR)/Virtual Reality (VR), smart wearables). The edge AI software market by verticals covers government and public; manufacturing; automotive; energy and utilities; telecom; healthcare and others (retail and eCommerce, media and entertainment, and Banking, Financial Services, and Insurance [BFSI]). The report covers the edge AI software market with respect to 5 major regions, namely North America, Europe, APAC, Latin America, and the Middle East and Africa (MEA).

The report would help the market leaders and new entrants in the global edge AI software market in the following ways:

  • The report segments the market into various subsegments, hence it covers the market comprehensively. It provides the closest approximations of the revenue numbers for the overall market and its subsegments. The market numbers are further split across applications and regions.
  • It helps in understanding the overall growth of the market. It also provides information about key market drivers, restraints, challenges, and opportunities.
  • It helps stakeholders in understanding their competitors better and gaining more insights to strengthen their positions in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.
Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Anagog
  • Bragi
  • Google
  • Imagimob
  • Microsoft
  • Octonion
  • MORE

1 Introduction
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.4 Years Considered for the Study
1.5 Currency Considered
1.6 Stakeholders

2 Research Methodology
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup of Primaries
2.1.2.2 Key Industry Insights
2.2 Data Triangulation
2.3 Market Size Estimation
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
2.4 Market Forecast
2.5 Research Assumptions
2.6 Limitations

3 Executive Summary

4 Premium Insights
4.1 Attractive Market Opportunities in the Edge AI Software Market
4.2 Market: Top 3 Applications
4.3 Market: By Region
4.4 Market in North America, By Application and Data Source

5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Increasing Enterprise Workloads on the Cloud
5.2.1.2 Rapid Growth in the Number of Intelligent Applications
5.2.2 Restraints
5.2.2.1 Privacy and Security Concerns Related to Edge AI Solutions
5.2.3 Opportunities
5.2.3.1 Emergence of the 5g Network to Bring IT and Telecom Together
5.2.4 Challenges
5.2.4.1 Interoperability Issues Slowing the Adoption of Edge AI Software
5.2.4.2 Optimization of Edge AI Standards
5.3 Use Cases
5.3.1 Introduction
5.3.1.1 Use Case: Scenario 1
5.3.1.2 Use Case: Scenario 2
5.3.1.3 Use Case: Scenario 3
5.3.1.4 Use Case: Scenario 4
5.3.1.5 Use Case: Scenario 5
5.4 Regulatory Implications
5.4.1 Introduction
5.4.2 General Data Protection Regulation
5.4.3 Health Insurance Portability and Accountability Act
5.4.4 Federal Trade Commission
5.4.5 Federal Communications Commission
5.4.6 Iso/Iec Jtc 1/Sc 42

6 Edge AI Software Market, By Component
6.1 Introduction
6.2 Solutions
6.2.1 Software Tools
6.2.1.1 Ease Offered By Software Tools to Integrate AI Capabilities Into the Existing Architecture
6.2.2 Platform
6.2.2.1 Platforms to Provide A Complete Foundation to Create Edge AI Software Solutions for Various Application Areas Across Major Verticals
6.3 Services
6.3.1 Training and Consulting Services
6.3.1.1 Technicalities Involved in Implementing Edge AI Software Solutions to Boost the Growth of Training and Consulting Services
6.3.2 System Integration and Testing
6.3.2.1 Ensuring the Interoperability of Edge AI Software With Hardware Components From Different Vendors to Boost the Growth of System Integration and Testing Services
6.3.3 Support and Maintenance
6.3.3.1 With the Growing Deployment of Edge AI Software Solutions Required for Support and Maintenance Services to Increase

7 Edge AI Software Market, By Data Source
7.1 Introduction
7.2 Video and Image Recognition
7.2.1 Companies to Adopt Edge AI Software to Leverage Real-Time Streaming Video and Image Data
7.3 Speech Recognition
7.3.1 Growing Demand for Speech Recognition Applications Such as Voice Dialing and Speech-To-Text Processing to Drive the Market
7.4 Biometric Data
7.4.1 Need to Enhance Biometrics With the Advent of Edge AI Software
7.5 Sensor Data
7.5.1 Growing Demand of Edge AI Software to Analyze Real-Time Sensor Data
7.6 Mobile Data
7.6.1 Growing Demand of Edge AI Software to Analyze Mobile Data for Enhanced Customer Experience

8 Edge AI Software Market, By Application
8.1 Introduction
8.2 Autonomous Vehicles
8.2.1 Increasing Demand for Self-Driving Cars to Pave the Way for Edge AI Software Market in the Automotive Industry
8.3 Access Management
8.3.1 Access Management Application to Grow at A Rapid Pace in the Coming Years
8.4 Video Surveillance
8.4.1 Need to Streamline Raw Video Data to Boost the Demand for Edge AI Software for the Video Surveillance Application
8.5 Remote Monitoring and Predictive Maintenance
8.5.1 Need to Track, Monitor, and Diagnose Machines to Fuel the Growth of the Remote Monitoring and Predictive Maintenance Application
8.6 Telemetry
8.6.1 Growing Demand for Real-Time Geographical Data to Improve Productivity
8.7 Energy Management
8.7.1 Growing Demand for Edge AI Software to Manage and Optimize Energy Consumption
8.8 Others

9 Edge AI Software Market, By Vertical
9.1 Introduction
9.2 Government and Public
9.2.1 Government to Adopt Edge AI Software for Data Security and Traffic Management
9.3 Manufacturing
9.3.1 Increasing Need to Analyze and Capture Sensor Data to Drive the Adoption of Edge AI Software By Manufacturing Firms
9.4 Automotive
9.4.1 Edge AI Software is Shaping Auto Manufacturing and Self-Driving Cars
9.5 Energy and Utilities
9.5.1 Increasing Need to Protect Huge Amount of Data for Streamlining the Process to Drive the Adoption of Edge AI Software
9.6 Telecom
9.6.1 Growing Demand for Network Bandwidth to Pave the Way for the Telecom Industry to Adopt Edge AI Software
9.7 Healthcare
9.7.1 Healthcare to Adopt Edge AI Software Tools to Safeguard Patients’ Data
9.8 Others

10 Edge AI Software Market, By Region
10.1 Introduction
10.2 North America
10.2.1 United States
10.2.1.1 Growing Opportunities to Create AI-Based Applications Fueling the Demand for Edge AI Software in the Market
10.2.2 Canada
10.2.2.1 Canada to Witness an Increase in Investments and Research Activities
10.3 Europe
10.3.1 United Kingdom
10.3.1.1 Increase in Investments to Offer More Opportunities for Deploying Edge AI Solutions
10.3.2 Germany
10.3.2.1 Increasing Adoption of Edge AI Software Across Major Verticals is Expected to Drive the Market in Germany
10.3.3 France
10.3.3.1 Edge AI Software to Gain Popularity in France
10.3.4 Rest of Europe
10.4 Asia Pacific
10.4.1 China
10.4.1.1 Heavy Dependency on the Internet is Paving the Way for AI Technology Embedded on the Edge Devices
10.4.2 Japan
10.4.2.1 Strengthening Regulatory and Compliance Landscape and the Mandate to Abide By Country-Specific Data Laws Would Increase the Adoption of Edge AI Software
10.4.3 India
10.4.3.1 Increase in Investments Among Startups and Growth of AI Technology Among Verticals to Trigger Edge AI Software Adoption in the Region
10.4.4 Rest of Asia Pacific
10.5 Middle East and Africa
10.5.1 Israel
10.5.1.1 Regulatory Compliances Backed By the Presence of AI Software Vendors to Lead the Adoption of Edge AI Software
10.5.2 UAE
10.5.2.1 Complex Legal, Regulatory, and Economic Resolutions to Compel Organizations to Adopt Edge AI Solutions
10.5.3 Rest of Middle East and Africa
10.6 Latin America
10.6.1 Brazil
10.6.1.1 Brazil to Witness the Highest Growth Rate in the Market
10.6.2 Mexico
10.6.2.1 Mexico to Account for the Largest Market Size in the Edge AI Software Market in the Region
10.6.3 Rest of Latin America

11 Competitive Landscape
11.1 Overview
11.2 Key Players, 2018
11.3 Competitive Scenario
11.3.1 New Product/Service Launches and Product/Service Enhancements
11.3.2 Agreements and Partnerships
11.3.3 Acquisitions
11.3.4 Business Expansions

12 Company Profiles
12.1 Google
12.2 Microsoft
12.3 AWS
12.4 IBM
12.5 Nutanix
12.6 Tibco
12.7 Octonion
12.8 Swim.AI
12.9 Imagimob
12.10 Anagog
12.11 Veea
12.12 Foghorn Systems
12.13 Xnor.AI
12.14 Bragi
12.15 Invision AI
12.16 Tact.AI

13 Appendix
13.1 Industry Experts
13.2 Discussion Guide
13.3 Knowledge Store: Subscription Portal
13.4 Available Customizations
13.5 Related Reports
13.6 Author Details

List of Tables
Table 1 United States Dollar Exchange Rate, 2015–2017
Table 2 Factor Analysis
Table 3 Global Edge AI Software Market Size and Growth Rate, 2016–2023 (USD Million, Y-O-Y %)
Table 4 Market Size, By Component, 2016–2023 (USD Million)
Table 5 Solutions: Market Size, By Type, 2016–2023 (USD Million)
Table 6 Services: Market Size, By Type, 2016–2023 (USD Million)
Table 7 Market Size, By Data Source, 2016–2023 (USD Million)
Table 8 Market Size, By Application, 2016–2023 (USD Million)
Table 9 Market Size, By Vertical, 2016–2023 (USD Million)
Table 10 Market Size, By Region, 2016–2023 (USD Million)
Table 11 North America: Edge AI Software Market Size, By Component, 2016–2023 (USD Million)
Table 12 North America: Market Size, By Solutions, 2016–2023 (USD Million)
Table 13 North America: Market Size, By Services, 2016–2023 (USD Million)
Table 14 North America: Market Size, By Data Source, 2016–2023 (USD Million)
Table 15 North America: Market Size, By Application, 2016–2023 (USD Million)
Table 16 North America: Market Size, By Vertical, 2016–2023 (USD Million)
Table 17 North America: Market Size, By Country, 2016–2023 (USD Million)
Table 18 Europe: Edge AI Software Market Size, By Component, 2016–2023 (USD Million)
Table 19 Europe: Market Size, By Solutions, 2016–2023 (USD Million)
Table 20 Europe: Market Size, By Services, 2016–2023 (USD Million)
Table 21 Europe: Market Size, By Data Source, 2016–2023 (USD Million)
Table 22 Europe: Market Size, By Application, 2016–2023 (USD Million)
Table 23 Europe: Market Size, By Vertical, 2016–2023 (USD Million)
Table 24 Europe: Market Size, By Country, 2016–2023 (USD Million)
Table 25 Asia Pacific: Edge AI Software Market Size, By Component, 2016–2023 (USD Million)
Table 26 Asia Pacific: Market Size, By Solutions, 2016–2023 (USD Million)
Table 27 Asia Pacific: Market Size, By Services, 2016–2023 (USD Million)
Table 28 Asia Pacific: Market Size, By Data Source, 2016–2023 (USD Million)
Table 29 Asia Pacific: Market Size, By Application, 2016–2023 (USD Million)
Table 30 Asia Pacific: Market Size, By Vertical, 2016–2023 (USD Million)
Table 31 Asia Pacific: EdgeMarket Size, By Country, 2016–2023 (USD Million)
Table 32 Middle East and Africa: Edge AI Software Market Size, By Component, 2016–2023 (USD Million)
Table 33 Middle East and Africa: Market Size, By Solutions, 2016–2023 (USD Million)
Table 34 Middle East and Africa: Market Size, By Services, 2016–2023 (USD Million)
Table 35 Middle East and Africa: Market Size, By Data Source, 2016–2023 (USD Million)
Table 36 Middle East and Africa: Market Size, By Application, 2016–2023 (USD Million)
Table 37 Middle East and Africa: Market Size, By Vertical, 2016–2023 (USD Million)
Table 38 Middle East and Africa: Market Size, By Country, 2016–2023 (USD Million)
Table 39 Latin America: Edge AI Software Market Size, By Component, 2016–2023 (USD Million)
Table 40 Latin America: Market Size, By Solutions, 2016–2023 (USD Million)
Table 41 Latin America: Market Size, By Services, 2016–2023 (USD Million)
Table 42 Latin America: Market Size, By Data Source, 2016–2023 (USD Million)
Table 43 Latin America: Market Size, By Application, 2016–2023 (USD Million)
Table 44 Latin America: Market Size, By Vertical, 2016–2023 (USD Million)
Table 45 Latin America: Market Size, By Country, 2016–2023 (USD Million)
Table 46 New Product/Service Launches and Product/Service Enhancements, 2017–2018
Table 47 Agreements and Partnerships, 2017-2018
Table 48 Acquisitions, 2017–2018
Table 49 Business Expansions, 2016–2018

List of Figures
Figure 1 Global Edge AI Software Market: Research Design
Figure 2 Market: Top-Down and Bottom-Up Approaches
Figure 3 Market Snapshot, By Component
Figure 4 Market Snapshot, By Solution
Figure 5 Market Snapshot, By Data Source
Figure 6 Market Snapshot, By Application
Figure 7 Market Snapshot, By Service
Figure 8 Market Snapshot, By Vertical
Figure 9 Market Snapshot, By Region
Figure 10 Increasing Enterprise Workloads on the Cloud is Driving the Overall Growth of the Market During the Forecast Period
Figure 11 Autonomous Vehicles Application is Expected to Grow at the Highest CAGR During Forecast Period
Figure 12 North America to Hold the Highest Market Share in 2018
Figure 13 Autonomous Vehicles and Mobile Data in North America Accounted for the Highest Share in the Market in 2018
Figure 14 Drivers, Restraints, Opportunities, and Challenges: Edge AI Software Market
Figure 15 Services Segment to Grow at A Higher CAGR During the Forecast Period
Figure 16 Platform Segment to Grow at A Higher CAGR During the Forecast Period
Figure 17 System Integration and Testing Segment to Grow at the Highest CAGR During the Forecast Period
Figure 18 Mobile Data Segment to Witness the Highest CAGR During the Forecast Period
Figure 19 Autonomous Vehicles Segment to Register the Highest CAGR During the Forecast Period
Figure 20 Energy and Utilities Vertical to Witness the Highest CAGR During the Forecast Period
Figure 21 Asia Pacific to Register the Highest CAGR During the Forecast Period
Figure 22 India to Record the Highest CAGR During the Forecast Period
Figure 23 Asia Pacific to Account for the Highest CAGR During the Forecast Period
Figure 24 North America: Market Snapshot
Figure 25 Autonomous Vehicles Segment to Grow at the Highest CAGR During the Forecast Period in North America
Figure 26 Autonomous Vehicles Application to Grow at the Highest CAGR During the Forecast Period in Europe
Figure 27 Asia Pacific: Market Snapshot
Figure 28 Autonomous Vehicles Application to Grow at the Highest CAGR During the Forecast Period in Asia Pacific
Figure 29 Autonomous Vehicles Segment to Grow at Highest CAGR During Forecast Period in Middle East and Africa
Figure 30 Video Surveillance Segment to Grow at the Highest CAGR During Forecast Period in Latin America
Figure 31 Key Developments By Leading Players in the Edge AI Software Market During 2016–2018
Figure 32 Key Players in Edge AI Software Market
Figure 33 Google: Company Snapshot
Figure 34 SWOT Analysis: Google
Figure 35 Microsoft: Company Snapshot
Figure 36 SWOT Analysis: Microsoft
Figure 37 AWS: Company Snapshot
Figure 38 SWOT Analysis: AWS
Figure 39 IBM: Company Snapshot
Figure 40 SWOT Analysis: IBM
Figure 41 Nutanix: Company Snapshot
Figure 42 SWOT Analysis: Nutanix

Note: Product cover images may vary from those shown
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  • Anagog
  • AWS
  • Bragi
  • Foghorn Systems
  • Google
  • IBM
  • Imagimob
  • Invision AI
  • Microsoft
  • Nutanix
  • Octonion
  • Swim.AI
  • Tact.AI
  • Tibco
  • Veea
  • Xnor.AI
Note: Product cover images may vary from those shown
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Note: Product cover images may vary from those shown
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