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Edge AI Software Market Size, Share, Growth & Trends Analysis Report By Solution, By Application, and Segment Forecasts, 2021-2027
Published Date: May 2019
|
Report Code: QYRE-Auto-4139
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Global Edge AI Software Market Size Status and Forecast 2019 2025

Edge AI Software Market Size, Share, Growth & Trends Analysis Report By Solution, By Application, and Segment Forecasts, 2021-2027

Code: QYRE-Auto-4139
Report
May 2019
106 Pages
QYResearch
Region: Global, Europe,
Description
Table of Content
Tables & Figures

Covid-19 Impact on Edge AI Software Market Statistics 2027

The global Edge AI Software market size is projected to reach US$ 2773.2 million by 2027, from US$ 576 million in 2020, at a CAGR of 24.8% during 2021-2027. Increasing enterprise workloads on the cloud and rapid growth in the number of intelligent applications. Advantages such as minimize the bandwidth required to execute the solution, and lower the latency of response time, secure data processing improves user experience with hyper-personalization and lowers costs by speeding up processes and making devices more energy efficient, are expected to increase the Edge AI software market.

Covid-19 Impact on Edge AI Software Market

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.

Edge AI Software Market Trends

Integrating Artificial Intelligence (AI) with the Internet of Things (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 for IoT devices with a small but power-efficient footprint.

Global Edge AI Software Market Size

The increasing growth of IoT is expected to propel the adoption of Edge AI software and thereby increase the market size. Companies may use edge AI to deploy their machine learning models to run locally on edge devices, reducing performance and latency issues. Artificial intelligence systems may provide real-time input to improve mission-critical applications. Edge AI would most likely support industrial-heavy applications like manufacturing and supply chain in the short term. Edge AI may also be used to automate product testing and inspection, resulting in higher quality and lower costs.

Edge AI Software Market Regional Insights

North America is expected to hold one of the largest market shares during the forecast period. Organizations in North America, especially in the United States, have taken advantage of AI, machine learning, and deep learning technologies to remain ahead of the competition. The region's economies are well-established, allowing edge AI software vendors to invest in new technologies.

On the other hand, APAC is expected to be one of the fastest-growing regions during the forecast period. The major factors fueling the growth of the edge AI software market in the APAC region are the growing amount of data generated from edge devices across various industry verticals, increasing consumer spending on smart solutions in countries, such as China, Japan, Australia, and India.

Edge AI Software Market Segmentation

Edge AI Software Market by Solution

  • Software Tools
  • Platforms

Edge AI Software Market by Application

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

Edge AI Software Market by Regional and Country-Level Analysis

  • North America
  • United States
  • Canada
  • Europe
  • Germany
  • France
  • U.K.
  • Italy
  • Russia
  • Nordic
  • Rest of Europe
  • Asia-Pacific
  • China
  • Japan
  • South Korea
  • Southeast Asia
  • India
  • Australia
  • Rest of Asia-Pacific
  • Latin America
  • Mexico
  • Brazil
  • Middle East & Africa
  • Turkey
  • Saudi Arabia
  • UAE
  • Rest of Middle East & Africa

In the competitive analysis section of the report, leading as well as prominent players of the global Edge AI Software market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2016-2021. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2016-2021.

Major Players in the Edge AI Software Market

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

Scope of the Edge AI Software Market Report

Report Metric

Details

Report Name

Edge AI Software Market

The market size in 2020

USD 576 Million

The revenue forecast in 2027

USD 2773.2 Million

Growth Rate

CAGR of 24.8% from 2021 to 2027

Base year considered

2020

Market size available for years

2021-2027

Forecast units

Value (USD)

Segments covered

Type, End-User, Offerings, and Region

Report coverage

Revenue & volume forecast, company share, competitive landscape, growth factors, and trends

Geographic regions covered

North America, Europe, Asia Pacific, Latin America, Middle East & Africa

Frequently Asked Questions About This Report

1. How big is the Edge AI Software Market?

Ans. The global Edge AI Software market size is projected to reach US$ 2773.2 million by 2027, from US$ 576 million in 2020, at a CAGR of 24.8% during 2021-2027.

2. Who are the top players in the Edge AI Software Market?

Ans. In the Edge AI Software Market, some of the key players are  IBM, Microsoft, Intel, Google, TIBCO, Cloudera, Nutanix, Foghorn Systems, SWIM.AI, Anagog, Tact.ai, Bragi

3. What would be the forecast period in the Edge AI Software Market report?

Ans. The forecast period for Edge AI Software Market is 2021 to 2027.

4. Which are the factors that drive Edge AI Software Market growth?

Ans. Advantages such as minimize the bandwidth required to execute the solution, and lower the latency of response time, secure data processing improves user experience with hyper-personalization and lowers costs by speeding up processes and making devices more energy efficient, are expected to increase the Edge AI software market.

5. Which region dominated in the global Edge AI Software Market share?

Ans. North America is expected to hold one of the largest market shares during the forecast period.

TABLE OF CONTENT

 

LIST OF TABLES & FIGURES

 

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