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Edge AI Software Market Growth (Status and Outlook) 2019-2024

akshay dalvi
Edge AI Software Market Growth (Status and Outlook) 2019-2024

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 amount of IoT devices deployed worldwide is exploding across all industries and cloud computing is overwhelmed with challenges that prevent IoT from scaling. For this reason, the center of data production and computing is transitioning from the cloud to the edge creating the need of IoT devices with a small but power efficient footprint.


The potential of AI at the edge is vast. A report from Tractica estimates that AI edge device shipments will increase from 161.4 million units in 2018 to 2.6 billion units worldwide annually by 2025. The top AI-enabled edge devices, in terms of unit volumes, will include mobile phones, smart speakers, PCs/tablets, head-mounted displays, automotive sensors, drones, consumer and enterprise robots, and security cameras. There will also be more AI incorporated into wearable health sensors, building or facility sensors, and networks of sensors planted around facilities or entire cities. Artificial intelligence (AI)?a rapidly emerging force, is taking computing at the edge to a whole new level, in which insights and analysis are provided on the spot, in real-time. With the IoT now front and center of business and technology strategies, the ability to analyze data streaming through edge computing devices and systems means a significant improvement in visibility and awareness of events across a network.


According to this study, over the next five years the Edge AI Software market will register a 25.7% CAGR in terms of revenue, the global market size will reach US$ 1087.7 million by 2024, from US$ 346.5 million in 2019. In particular, this report presents the global revenue market share of key companies in Edge AI Software business, shared in Chapter 3.


This report presents a comprehensive overview, market shares and growth opportunities of Edge AI Software market by product type, application, key companies and key regions.


This study considers the Edge AI Software value generated from the sales of the following segments:


Segmentation by product type: breakdown data from 2014 to 2019 in Section 2.3; and forecast to 2024 in section 10.7.


  • Software Tools
  • Platforms


Segmentation by application: breakdown data from 2014 to 2019, in Section 2.4; and forecast to 2024 in section 10.8.


  • Autonomous Vehicles
  • Access Management
  • Video Surveillance
  • Remote Monitoring & Predictive Maintenance
  • Telemetry
  • Others


This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.


  • Americas
  • United States
  • Canada
  • Mexico
  • Brazil
  • APAC
  • China
  • Japan
  • Korea
  • Southeast Asia
  • India
  • Australia
  • Europe
  • Germany
  • France
  • UK
  • Italy
  • Russia
  • Spain
  • Middle East & Africa
  • Egypt
  • South Africa
  • Israel
  • Turkey
  • GCC Countries


The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.


  • IBM
  • Microsoft
  • Intel
  • Google
  • Cloudera
  • Nutanix
  • Foghorn Systems
  • Anagog
  • Tact.ai
  • Bragi
  • Octonion
  • Veea Inc
  • Imagimob


In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.


Research objectives


Table of content

2019-2024 Global Edge AI Software Market Report (Status and Outlook)

1 Scope of the Report
1.1 Market Introduction
1.2 Research Objectives
1.3 Years Considered
1.4 Market Research Methodology
1.5 Economic Indicators
1.6 Currency Considered

2 Executive Summary
2.1 World Market Overview
2.1.1 Global Edge AI Software Market Size 2014-2024
2.1.2 Edge AI Software Market Size CAGR by Region
2.2 Edge AI Software Segment by Type
2.2.1 Software Tools
2.2.2 Platforms
2.3 Edge AI Software Market Size by Type
2.3.1 Global Edge AI Software Market Size Market Share by Type (2014-2019)
2.3.2 Global Edge AI Software Market Size Growth Rate by Type (2014-2019)
2.4 Edge AI Software Segment by Application
2.4.1 Autonomous Vehicles
2.4.2 Access Management
2.4.3 Video Surveillance
2.4.4 Remote Monitoring & Predictive Maintenance
2.4.5 Telemetry
2.4.6 Others
2.5 Edge AI Software Market Size by Application
2.5.1 Global Edge AI Software Market Size Market Share by Application (2014-2019)
2.5.2 Global Edge AI Software Market Size Growth Rate by Application (2014-2019)

3 Global Edge AI Software by Players
3.1 Global Edge AI Software Market Size Market Share by Players
3.1.1 Global Edge AI Software Market Size by Players (2017-2019)
3.1.2 Global Edge AI Software Market Siz

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akshay dalvi
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