Edge AI Software Market Report Scope & Overview:

The Edge AI Software Market size was valued at USD 1.30 Billion in 2023 and is expected to reach USD 10.8 Billion by 2031 and grow at a CAGR of 30.3% over the forecast period 2024-2031.

The phrase "edge computing" refers to processing that takes a particular point of view into consideration. It brings data closer to the device or information source where it is most frequently required. Edge Computing enables IoT data to be processed locally to the point of origin rather than being transported over vast distances to data centers or the cloud. It has to do with dealing with persistent data close to the data source, which is termed the 'edge' of the relationship. Instead of a cloud or data collection zone, it is linked to active applications as close to the source of the data as possible.

Edge AI Software Market Revenue Analysis

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Edge Artificial Intelligence (AI) software combines edge computing technology with machine learning. This AI program translates raw data into movements or events, forecasts, and insights without the need for costly data and large data research. The software tools available are in the form of frameworks and software development kits, and they provide the benefit of combining AI capabilities with software applications. An AI algorithm is executed on hardware devices using sensors and signals in this cutting-edge AI software. With the implementation of this system, there is a lower likelihood of remaining linked in real-time, since the system detects the connection and takes the choice dynamically.



  • Increasing enterprise cloud workloads.

  • The number of intelligent applications is rapidly increasing.


  • Concerns about privacy and security in relation to edge AI solutions.


  • The emergence of a 5G network to connect IT and telecom.


  • Edge AI software deployment is being slowed by interoperability difficulties.

  • Edge AI standard optimization.


Every business has been impacted as the globe braces for the prolonged effect of the COVID-19 epidemic. Organizations throughout the world are adopting appropriate precautions to prevent pandemic risks, such as remote working capabilities, remote asset maintenance, and monitoring, plant automation, and telemedicine. A significant beneficial impact has been observed in the healthcare vertical, as companies have begun to recognize the potential of edge AI software in fighting the impact of COVID-19. This has resulted in increasing financing and research to ensure the safety and security of enterprises along the value chain. The market is predicted to expand slowly during the epidemic and then rebound with a greater adoption rate across verticals after the outbreak.


Because of its high demand, the solutions category is expected to account for the greatest market share. Because of the gradually rising usage of training and consulting services, the services category is predicted to increase at the quickest rate. Because of the significant product availability in this area, sensor data is expected to have the biggest market share. Due to the increasing application of biometric technology in numerous industries, biometric data is expected to rise at the quickest pace of approximately. Because of the expanding number of cutting-edge AI software applications in this industry, the energy management segment is predicted to account for the lion's share of the market. By the conclusion of the forecasting period, the video surveillance segment is expected to have a market value. Because of the increased use of healthcare, and IT in the travel, transport, and logistics sector, the travel, transport, and logistics category accounted for the greatest market share. The cross-vertical sector is predicted to increase, and the consumer segment is expected to outperform the market by the end of the projection period.


On The Basis of Industry Vertical          

  • Government & Public

  • Manufacturing

  • Automotive

  • Energy & Utilities

  • Telecom

  • Healthcare

  • Others

On The Basis of Component         

  • Solutions

  • Services

On The Basis of Data Source        

  • Speech Recognition

  • Biometric Data

  • Sensor Data

  • Mobile Data

On The Basis of Application        

  • Autonomous Vehicles

  • Access Management

  • Video Surveillance

  • Remote Monitoring & Predictive Maintenance

  • Telemetry

  • Energy Management

  • Others


The worldwide edge AI software market has been divided into five regions: North America, Europe, Asia-Pacific, the Middle East, Africa, and South America. North America held the highest market share in 2021, and it is predicted to develop rapidly over the forecast period. However, the APAC region is witnessing great growth as a result of a variety of causes such as rising local enterprises and government programs geared at AI development. The major APAC countries are technologically advanced and provide substantial investment and income opportunities. The region is increasing rapidly due to a variety of causes, including rising local companies and government programs geared at AI development. The increasing volume of data created by edge devices across different industrial sectors, as well as rising consumer expenditure on smart solutions in countries, drive development in the APAC edge AI software market.

Edge AI Software Market By Region

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  • North America

    • USA

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

    • Italy

    • Spain

    • The Netherlands

    • Rest of Europe

  • Asia-Pacific

    • Japan

    • south Korea

    • China

    • India

    • Australia

    • Rest of Asia-Pacific

  • The Middle East & Africa

    • Israel

    • UAE

    • South Africa

    • Rest of Middle East & Africa

  • Latin America

    • Brazil

    • Argentina

    • Rest of Latin America


The major key players are Alphabet Inc., Microsoft Corporation, IBM Corporation, Amazon Web Services, Inc., Nutanix, Synaptics Incorporated, SWIM.AI Inc., Imagimob AB, Anagog Ltd, TIBCO Software Inc. & Other Players.

Microsoft Corporation-Company Financial Analysis

Company Landscape Analysis

Edge AI Software Market Report Scope:
Report Attributes Details
 Market Size in 2023  US$ 1.30 Bn
 Market Size by 2031  US$ 10.8 Bn
 CAGR   CAGR of 30.3% From 2024 to 2031
 Base Year  2023
 Forecast Period  2024-2031
 Historical Data  2020-2022
 Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
 Key Segments • By Industry Vertical (Government & Public, Manufacturing, Automotive, Energy & Utilities, Telecom, Healthcare, Others)
• By Component (Solutions and Services)
• By Data Source (Speech Recognition, Biometric Data, Sensor Data, Mobile Data)
• By Application (Autonomous Vehicles, Access Management, Video Surveillance, Remote Monitoring & Predictive Maintenance, Telemetry, Energy Management, Others)
 Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
 Company Profiles Alphabet Inc., Microsoft Corporation, IBM Corporation, Amazon Web Services, Inc., Nutanix, Synaptics Incorporated, SWIM.AI Inc., Imagimob AB, Anagog Ltd, TIBCO Software Inc.
 Key Drivers • Increasing enterprise cloud workloads.
• The number of intelligent applications is rapidly increasing.
 Challenges • Edge AI software deployment is being slowed by interoperability difficulties.
• Edge AI standard optimization.

Frequently Asked Questions

Ans: - The estimated market size for the Edge AI Software market for the year 2028 is USD 2096.44 million.

Ans: - Concerns about privacy and security in relation to edge AI solutions.

Ans: - The segments covered in the Edge AI Software Market report for study are On the Basis of Industry Vertical, Component, Data Source, and Application.     

Ans: - North America held the highest market share in 2021, and it is predicted to develop rapidly over the forecast period.    

Ans: - The primary growth tactics of Edge AI Software market participants include merger and acquisition, business expansion, and product launch.

Table of Contents

1. Introduction

1.1 Market Definition

1.2 Scope

1.3 Research Assumptions

2. Research Methodology


3. Market Dynamics

3.1 Drivers

3.2 Restraints

3.3 Opportunities

3.4 Challenges

4. Impact Analysis

4.1 COVID-19 Impact Analysis

4.2 Impact of Ukraine- Russia war

4.3 Impact of ongoing Recession

4.3.1 Introduction

4.3.2 Impact on major economies US Canada Germany France United Kingdom China Japan South Korea Rest of the World

5. Value Chain Analysis


6. Porter’s 5 forces model


7. PEST Analysis


8. Edge AI Software Market Segmentation, by Industry Vertical     

8.1 Government & Public

8.2 Manufacturing

8.3 Automotive

8.4 Energy & Utilities

8.5 Telecom

8.6 Healthcare

8.7 Others


9. Edge AI Software Market Segmentation, by Component  

9.1 Solutions

9.2 Services

10. Edge AI Software Market Segmentation, by Data Source

10.1 Speech Recognition

10.2 Biometric Data

10.3 Sensor Data

10.4 Mobile Data

11. Edge AI Software Market Segmentation, by Application

11.1 Autonomous Vehicles

11.2 Access Management

11.3 Video Surveillance

11.4 Remote Monitoring & Predictive Maintenance

11.4 Telemetry

11.5 Energy Management

11.6 Others


12. Regional Analysis

12.1 Introduction

12.2 North America

12.2.1 USA

12.2.2 Canada

12.2.3 Mexico

12.3 Europe

12.3.1 Germany

12.3.2 UK

12.3.3 France

12.3.4 Italy

12.3.5 Spain

12.3.6 The Netherlands

12.3.7 Rest of Europe

12.4 Asia-Pacific

12.4.1 Japan

12.4.2 South Korea

12.4.3 China

12.4.4 India

12.4.5 Australia

12.4.6 Rest of Asia-Pacific

12.5 The Middle East & Africa

12.5.1 Israel

12.5.2 UAE

12.5.3 South Africa

12.5.4 Rest

12.6 Latin America

12.6.1 Brazil

12.6.2 Argentina

12.6.3 Rest of Latin America

13. Company Profiles

13.1 Alphabet Inc.

13.1.1 Financial

13.1.2 Products/ Services Offered

13.1.3 SWOT Analysis

13.1.4 The SNS view

13.2. Microsoft Corporation

13.3. IBM Corporation

13.4 Amazon Web Services, Inc.

13.5 Nutanix

13.6 Synaptics Incorporated

13.7 SWIM.AI Inc.

13.8 Imagimob AB

13.9 Anagog Ltd

13.10 TIBCO Software Inc.

14. Competitive Landscape

14.1 Competitive Benchmarking

14.2 Market Share Analysis

14.3 Recent Developments

15. Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.


The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

Step 3: Data Bank Validation

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Data Bank Validation

Step 4: QA/QC Process

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