Dublin, Feb. 20, 2019 (GLOBE NEWSWIRE) -- The "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" report has been added to ResearchAndMarkets.com's offering.

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.

Edge AI software enables aggregation, processing, computation, and analysis of data present near or on the edge devices by leveraging AI and IoT technologies. The software helps to process data on edge nodes even in remote and decentralized networks, without cloud connectivity.

Integrating AI with IoT in edge devices helps enterprises to minimize latency, reduce bandwidth, lessen threats, avoid duplication, improve reliability, and maintain compliance. Moreover, edge AI software solutions enable an organization to utilize the computing resources in an optimal manner, minimize the bandwidth required to execute the solution, and lower the latency in particular response time.

The major factors driving the growth of the edge AI software market are the increasing enterprise workloads on the cloud and rapid growth in the number of intelligent applications. Furthermore, the emergence of the 5G network to bring IT and telecom together and growing demand for applications with minimized latency and quick response time is expected to be providing opportunities for the growth of organizations from various industry verticals in the edge AI software market.

Moreover, Edge AI software solutions enable organizations to store and access data which needs a real-time response and is required for a limited time on the edge nodes and devices. Organizations can choose between the data that could be discarded after a limited time and the data which is to be stored for further use, reducing data loads on the cloud infrastructure.

Edge AI would also decrease the frequency of contact with cloud servers, hence would enhance the speed of decision-making. Interoperability issues of edge AI software and existing systems in an organization, and optimization of edge AI standards are some factors which are acting as challenges for edge AI software market and slowing the adoption of Edge AI software solutions.

Key Topics Covered:

1 Introduction

2 Research Methodology

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
5.4 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

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

For more information about this report visit https://www.researchandmarkets.com/research/33rbhv/edge_ai_software?w=12

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Related Topics: Software, Artificial Intelligence