Edge AI Software Market

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

[138 Pages Report] MarketsandMarkets forecasts the global edge Artificial Intelligence (AI) software market size to grow from USD 356 million in 2018 to USD 1,152 million by 2023, at a Compound Annual Growth Rate (CAGR) of 26.5% during the forecast period, 2018–2023. The major growth drivers for the market include the increasing amount of enterprise workloads on the cloud and the rapid growth in the number of intelligent applications.

Edge AI Software Market

In the edge AI software market by application, the autonomous vehicles application is estimated to grow at the highest CAGR during the forecast period

Edge AI plays a crucial role in autonomous vehicles. Edge AI offers prevailing digital transformation opportunities because of real-time analytics and the ability to directly analyze more contextual information. The AI in self-driving cars runs on local processors and interprets the virtual world model to decide what actions to take with the car. With the help of AI-based autonomous vehicles, automakers can analyze the driving patterns and help improve roadways to reduce accidents.

In the edge AI software market by data source, the video and image recognition segment is estimated to hold the largest market size during the forecast period

Most of the vendors in the market offer edge AI software to analyze images, videos, gestures, acoustics, and motions, locally on the devices. With the advent of AI and Machine Learning (ML) in edge devices, users can now extract entities from videos and images, and build applications to discover information from the videos.

In the edge AI software market by solution, the platform segment is estimated to grow at a higher CAGR during the forecast period

The solutions segment has been further subsegmented into software tools and platform. The edge AI platforms offer users AI applications that enable small devices with intelligence and data processing capabilities. The users can extract actionable insights in real-time from the data generated at the edge and enhance the customers’ experience.

Edge AI Software Market

North America is estimated to hold the largest market size during the forecast period

North America is expected to hold the largest market size in the global edge AI software market, while Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period. In APAC, the highest growth rate can be attributed to the heavy investments made by private and public sectors for enhancing their AI and ML technologies, resulting in an increased demand for edge AI solutions for data security and privacy. North America is expected to be the leading region in terms of adopting and developing edge AI software. Growing investments in data management strategies, presence of maximum number of edge AI software vendors, and increasing government spending on AI-based technologies are expected to contribute to the market growth during the forecast period.

Key market players

The major vendors in the global edge AI software market include 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). These vendors have adopted various organic and inorganic growth strategies, such as new product launches, partnerships and collaborations, and mergers and acquisitions, to further expand their presence in the global market.

Google is one of the key technology players in the edge AI software market. It relies heavily on its organic growth strategy and continuously aims for coming up with innovative next-gen products. Google is making significant R&D investments in areas of strategic focus, such as advertising, cloud, ML, and search, as well as, in new products and services. Google has made significant investments and advancements in AI. The company is well-positioned to take advantage of the increasing demand for AI-enabled applications, AI tools for developers, and cloud-based AI services. Moreover, the company is adopting organic growth strategies to gain a competitive advantage in the edge AI software market. For instance, in July 2018, Google launched Edge TPU, a custom hardware stack, and Cloud IoT Edge Software, at the Nextcloud conference. Both the products implement ML and Internet of Things (IoT)-based technologies in the cloud and at the edge and leverages data directly at the edge.

Microsoft spent significantly on R&D to enhance its edge AI software and service offerings. The company is working on the development of AI, ML, and IoT technologies. The company has made significant progress with AI initiatives and is well-positioned to take advantage of the increasing demand for AI tools, AI-enabled applications, and AI-based solutions. Recent advancements in risk management and compliance would enable users to harness the power of these technologies. Microsoft is focusing on organic growth strategies, such as new product launches and product updates, to strengthen its edge AI software offerings. Moreover, the company has various plans to invest in the latest technologies to develop innovations. For instance, in June 2018, Microsoft planned to invest USD 5 billion in IoT and intelligent edge solutions over the next 4 years to accelerate innovation and simplify the customer experience in its IoT-based solutions. Furthermore, the global presence of the company reflects its higher sales numbers and a vast reach.

Recent developments

  • In November 2018, Nutanix launched Xi Cloud Services, a new suite of offerings, designed to create a more unified fabric across different cloud environments that gives IT teams the freedom to run their applications on the optimal platform, not restricted by technology limitations.
  • In October 2018, Microsoft partnered with Qualcomm Technologies to create a vision AI developer kit that users could apply in areas, such as retail, manufacturing, logistics, and smart home. The kit is a camera-based device that combines IoT, edge, and AI from Microsoft with Qualcomm Vision Intelligence 300 Platform and the Qualcomm Neural Processing SDK for AI for on-device edge computing.
  • In March 2018, FogHorn Systems, a leading developer of edge intelligence software for industrial and commercial IoT applications, collaborated with Google Cloud IoT Core, to simplify the deployment and maximize the business impact of Industrial IoT (IIoT) applications.

Critical questions the report answers

  • What are the current trends that are driving the edge AI software market?
  • In which applications areas are most of the verticals are deploying edge AI software?
  • Where will all these developments take the industry in the mid- to long-term?
  • Who are the top vendors in the market and what is their competitive analysis?
  • What are the drivers and challenges of the market?

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Table of Contents

1 Introduction (Page No. - 16)
    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 (Page No. - 20)
    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 (Page No. - 28)

4 Premium Insights (Page No. - 33)
    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 (Page No. - 36)
    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 (Page No. - 44)
    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 Market, By Data Source (Page No. - 50)
    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 (Page No. - 55)
    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 (Page No. - 60)
    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 Market, By Region (Page No. - 66)
     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 (Page No. - 95)
     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 (Page No. - 99)
     12.1 Google
(Business Overview, Product, Solutions & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
     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

*Details on Business Overview, Products, Solutions& Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.

13 Appendix (Page No. - 128)
     13.1 Industry Experts
     13.2 Discussion Guide
     13.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     13.4 Available Customizations
     13.5 Related Reports
     13.6 Author Details


List of Tables (49 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 (42 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

The study consists of 4 major activities to estimate the current market size of the edge Artificial Intelligence (AI) software market. An exhaustive secondary research was done to collect information on the market, the peer market, and the parent market. The next step was to validate these findings, assumptions, and sizing with the industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the edge AI software market.

Secondary research

In the secondary research process, various secondary sources, such as D&B Hoovers and Bloomberg BusinessWeek have been referred to for identifying and collecting information for this study. Secondary sources included annual reports; press releases and investor presentations of companies; whitepapers, certified publications, and articles by recognized authors; gold standard and silver standard websites; Research and Development (R&D) organizations; regulatory bodies; and databases.

Primary research

Various primary sources from both supply and demand sides of the edge AI software market were interviewed to obtain qualitative and quantitative information for this study. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various vendors of edge AI software solutions, associated service providers, and system integrators operating in the targeted regions. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

The following is the breakup of the primary respondents’ profiles:

Edge AI Software Market

To know about the assumptions considered for the study, download the pdf brochure

Market size Estimation

For making market estimates and forecasting the edge AI software market and the other dependent submarkets, the top-down and bottom-up approaches were used. The bottom-up procedure was used to arrive at the overall market size of the global edge AI software market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:

  • The key players in the market were identified through extensive secondary research.
  • The market size, in terms of value, was determined through primary and secondary research processes.
  • All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources.

Data triangulation

With data triangulation and validation through primary interviews, the exact value of the overall parent market size was determined and confirmed using this study. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Report objectives

  • To define, describe, and forecast the size of the edge AI software market by component (solutions and services), solutions (software tools and platform), services (training and consulting, system integration and testing, and support and maintenance), data source (video and image recognition, speech recognition, biometric data, sensor data, and mobile data), application (autonomous vehicle, access management, video surveillance, remote monitoring and predictive maintenance, telemetry, energy management, energy management and others), and region (North America, Europe, Asia Pacific [APAC], Latin America, and Middle East and Africa [MEA])
  • To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the edge AI software market
  • To strategically analyze the micromarkets with respect to individual growth trends, prospects, and contributions to the overall market
  • To study the complete value chain of market
  • To analyze opportunities in the market for stakeholders by identifying the high-growth segments of the edge AI software ecosystem
  • To strategically profile key players and comprehensively analyze their market position in terms of ranking and core competencies, along with detailing competitive landscape for market leaders
  • To analyze strategic approaches, such as product launches, acquisitions, contracts, agreements, and partnerships, in the market

Scope of the Report

Report Metrics

Details

Market size available for years

2016–2023

Base year considered

2017

Forecast period

2018–2023

Forecast units

Million (USD)

Segments covered

Components, Solutions, Services, Data Sources, Applications, Verticals, and Regions

Geographies covered

North America, Europe, APAC, Latin America, and MEA

Companies covered

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)

This research report categorizes the edge AI software market based on components, data sources, applications, verticals, and regions.

Based on Components, the edge AI software market has been segmented as follows:

  • Solutions
    • Software Tools
    • Platform
  • Services
    • Training and Consulting
    • System Integration and Testing
    • Support and Maintenance

Based on Data Sources, the market has been segmented as follows:

  • Video and Image Recognition
  • Speech Recognition
  • Biometric Data
  • Sensor Data
  • Mobile Data

Based on Applications, the edge AI software market has been segmented as follows:

  • Autonomous Vehicles
  • Access Management
  • Video Surveillance
  • Remote Monitoring and Predictive Maintenance
  • Telemetry (Location Services)
  • Energy Management
  • Others (Point-of-Sales, Field Service Support, Precision Agriculture, Augmented Reality (AR)/Virtual Reality (VR), and Smart Wearables )

Based on Verticals, the market has been segmented as follows:

  • Government and Public
  • Manufacturing
  • Automotive
  • Energy and Utilities
  • Telecom
  • Healthcare
  • Others (Retail and eCommerce, Media and Entertainment, and Banking, Financial Services, and Insurance [BFSI])

Based on Regions, the market has been segmented as follows:

  • North America
  • Europe
  • APAC
  • Latin America
  • MEA

Available customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix gives a detailed comparison of the product portfolio of each company

Geographic Analysis

  • Further breakup of the North American edge AI software market
  • Further breakup of the European market
  • Further breakup of the APAC market
  • Further breakup of the Latin American market
  • Further breakup of the MEA market

Company Information

  • Detailed analysis and profiling of additional market players up to 5
Report Code
TC 6908
Published ON
Feb, 2019
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