The global edge AI software market size to grow from USD 590 million in 2020 to USD 1,835 million by 2026, at a Compound Annual Growth Rate (CAGR) of 20.8% during the forecast period.
Various factors such as increasing enterprise workloads on the cloud and rapid growth in the number of intelligent applications are expected to drive the adoption of the edge AI solutions and services. The objective of the report is to define, describe, and forecast the edge AI software market size based on component, type, GNSS receiver, application, vertical, and region.
As the world braces for the continued impact of the COVID-19 pandemic, every industry has been affected. To mitigate pandemic risks, organizations around the world are taking adequate measures such as remote working capabilities, remote asset maintenance and monitoring, plant automation, and telehealth. A high positive impact has been witnessed in the healthcare vertical, as firms have started realizing the potential of edge AI software in combating the impact of COVID-19. This has led to increased funding and research to keep businesses safe and secure across the value chain. It is expected that the market will witness slow growth during the pandemic and bounce back with a higher adoption rate across verticals post-pandemic. Organizations worldwide have been using digital infrastructure to continue with their usual business activities as it serves as an essential infrastructure. Healthcare, the public sector, and education verticals are adopting digitalization at an unprecedented rate. Several clouds and edge companies are offering their computational services for free to the frontline workers to reduce the impact of COVID-19.
The system integration and testing services segment to grow at a higher CAGR during the forecast period
The training and consulting services segment is expected to account for the largest market size, while the system integration and testing services segment is projected to have the highest CAGR during the forecast period. The technicalities involved in implementing edge AI software solutions boost the growth of training and consulting services while the need to ensure the interoperability of edge AI software with hardware components from different vendors would boost the growth of system integration and testing services.
The video and image recognition segment to have the largest market size during the forecast period
The edge AI software market by data source has been segmented into video and image recognition, speech recognition, biometric data, sensor data, and mobile data. Video and image content analysis has introduced the automation of tasks due to advancements made in deep learning. They help to automatically recognize temporal and spatial events in videos and images. A person who moves suspiciously, traffic signs that are not obeyed, the sudden appearance of flames, and smoke are few events detected through video and image content analysis.
Energy management application segment to have the highest CAGR during the forecast period
The edge AI software market by application has been segmented 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, AR/VR, and smart wearables). Using edge AI for energy management can reduce the overall costs and optimize energy consumption by applying various techniques for predicting the optimal load of the system in real-time leading to its growth in edgeAI software market.
Among regions, North America accounts for the largest market size during the forecast period
The organizations in North America, especially the US, have leveraged the benefits of AI, ML, and deep learning technologies to stay ahead in the market. The region has well-established economies, which enable edge AI software vendors to invest in new technologies. Furthermore, it is regarded as the center of innovation where major IT players are rolling out intelligent devices and collaborating with other companies in the edge AI software market.
Key Topics Covered:
2 Research Methodology
3 Executive Summary
4 Premium Insights 4.1 Brief Overview of the Edge AI Software Market 4.2 Market, by Application 4.3 Market, by Region 4.4 Market, by Application and Vertical
5 Market Overview and Industry Trends 5.1 Introduction 5.2 Market Dynamics 5.2.1 Drivers 18.104.22.168 Increasing Enterprise Workloads on the Cloud 22.214.171.124 Rapid Growth in the Number of Intelligent Applications 5.2.2 Restraints 126.96.36.199 Privacy and Security Concerns Related to Edge Ai Solutions 5.2.3 Opportunities 188.8.131.52 Emergence of the 5G Network to Bring IT and Telecom Together 5.2.4 Challenges 184.108.40.206 Interoperability Issues Slowing the Adoption of Edge Ai Software 220.127.116.11 Optimization of Edge Ai Standards
6. Industry Trends 6.1 Evolution 6.2 Ecosystem 6.3 Edge AI Software Market: COVID-19 Impact 6.4 Case Study Analysis 6.4.1 Use Case 1: Creating Motion Intelligence with Imagimob's Sensorbeat AI Software 6.4.2 Use Case 2: Using Imagimob's Sensorbeat AI Software for Predictive Maintenance in Manufacturing 6.4.3 Use Case 3: Using Anagog Jedai 4.0 to Personalize Banking Experience 6.4.4 Use Case 4: Using High-Performance Embedded Computing (HPEC) Systems of Eurotech for Autonomous Driving 6.4.5 Use Case 5: Using Edge AI Starter Kit of Bytelake for the Detection of Groceries in Retail 6.4.6 Use Case 6: Using Edge AI Starter Kit of Bytelake for Traffic Analytics Using Video Surveillance 6.5 Value Chain Analysis 6.6 Supply Chain Analysis 6.7 Technology Analysis 6.7.1 Edge AI and Internet of Things (IoT) 6.7.2 Edge AI and 5G 6.7.3 Edge AI and Blockchain 6.8 Porter's Five Forces Analysis 6.8.1 Threat of New Entrants 6.8.2 Threat of Substitutes 6.8.3 Bargaining Power of Suppliers 6.8.4 Bargaining Power of Buyers 6.8.5 Intensity of Competitive Rivalry 6.9 Pricing Analysis 6.10 Patent Analysis 6.10.1 Innovation and Patent Registrations 6.11 Regulatory Implications 6.11.1 Introduction 6.11.2 General Data Protection Regulation 6.11.3 Health Insurance Portability and Accountability Act 6.11.4 Federal Trade Commission 6.11.5 Federal Communications Commission 6.11.6 Iso/Iec Jtc 1/Sc 42
7 Edge AI Software Market, by Component 7.1 Introduction 7.1.1 Component: Market Drivers 7.1.2 Component: COVID-19 Impact 7.2 Solutions 7.2.1 Software Tools 7.2.2 Platform 7.3 Services 7.3.1 Training and Consulting Services 7.3.2 System Integration and Testing 7.3.3 Support and Maintenance
8 Edge AI Software Market, by Data Source 8.1 Introduction 8.1.1 Data Source: Market Drivers 8.1.2 Data Source: COVID-19 Impact 8.2 Video and Image Recognition 8.3 Speech Recognition 8.4 Biometric Data 8.5 Sensor Data 8.6 Mobile Data 9 Edge AI Software Market, by Application 9.1 Introduction 9.1.1 Applications: Market Drivers 9.1.2 Applications: COVID-19 Impact 9.2 Autonomous Vehicles 9.3 Access Management 9.4 Video Surveillance 9.5 Remote Monitoring and Predictive Maintenance 9.6 Telemetry 9.7 Energy Management 9.8 Others 10 Edge AI Software Market, by Vertical 10.1 Introduction 10.1.1 Vertical: Market Drivers 10.1.2 Vertical: COVID-19 Impact 10.2 Edge AI Software: Enterprise Use Cases 10.3 Government and Public 10.4 Manufacturing 10.5 Automotive 10.6 Energy and Utilities 10.7 Telecom 10.8 Healthcare 10.9 Others 11 Edge AI Software Market, by Region 11.1 Introduction 11.2 North America 11.3 Europe 11.4 Asia-Pacific 11.5 Middle East and Africa 11.6 Latin America 12 Competitive Landscape 12.1 Overview 12.2 Market Evaluation Framework 12.3 Market Share, 2020 12.4 Historic Revenue Analysis of Key Market Players 12.4.1 Introduction 12.5 Key Market Developments 12.5.1 New Product Launches and Product Enhancements 12.5.2 Business Expansions 12.5.3 Mergers and Acquisitions 12.5.4 Partnerships, Agreements, Contracts, and Collaborations 12.6 Company Evaluation Matrix 12.6.1 Overview 12.6.2 Company Evaluation Matrix: Definitions and Methodology 12.6.3 Market Ranking Analysis, by Company 12.6.4 Star 12.6.5 Emerging Leader 12.6.6 Pervasive 12.6.7 Participant 12.7 Startup/SME Evaluation Matrix, 2020 12.7.1 Progressive Companies 12.7.2 Responsive Companies 12.7.3 Dynamic Companies 12.7.4 Starting Blocks 13 Company Profiles 13.1 Introduction 13.2 Microsoft 13.3 IBM 13.4 Google 13.5 Aws 13.6 Nutanix 13.7 Synaptics 13.8 Tibco Software 13.9 Octonion 13.10 Imagimob 13.11 Anagog 13.12 Veea 13.13 Foghorn Systems 13.14 Bragi 13.15 Gorilla Technology Group 13.16 Tact.AI 13.17 Sixsq 13.18 Azion Technologies 13.19 Clearblade 13.20 Alefedge 13.21 Adapdix 13.22 Startup/SME Profiles 13.22.1 Bytelake 13.22.2 Reality AI 13.22.3 Deci.AI 13.22.4 Stratahive 13.22.5 Edgeworx 13.22.6 Swim.AI 13.22.7 Invision.AI 13.22.8 Horizon Robotics 13.22.9 Kneron 13.22.10 Deepbrainz 14 Appendix 14.1 Adjacent and Related Markets 14.1.1 Introduction 14.1.2 Edge Computing Market - Global Forecast to 2025 18.104.22.168 Market Definition 22.214.171.124 Market Overview 126.96.36.199.1 Edge Computing Market, by Component 188.8.131.52.2 Edge Computing Market, by Application 184.108.40.206.3 Edge Computing Market, by Organization Size 220.127.116.11.4 Edge Computing Market, by Vertical 18.104.22.168.5 Edge Computing Market, by Region 14.2 Discussion Guide