Edge AI Software Market Regional Share, Size, Trends, and Forecast by 2031

Coverage: Edge AI Software Market covers analysis by Components (Solutions, Services); Data Sources (Video and Image Recognition, Speech Recognition, Biometric Data, Sensor Data, Mobile Data); Applications (Autonomous Vehicles, Access Management, Video Surveillance, Remote Monitoring and Predictive Maintenance, Telemetry (Location Services), Energy Management, Others); Verticals (Government and Public, Manufacturing, Automotive, Energy and Utilities, Telecom, Healthcare, Others) , and Geography (North America, Europe, Asia Pacific, and South and Central America)

  • Report Code : TIPRE00010820
  • Category : Technology, Media and Telecommunications
  • No. of Pages : 150
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The Edge AI Software Market is expected to register a CAGR of 20.1% from 2025 to 2031, with a market size expanding from US$ XX million in 2024 to US$ XX Million by 2031.

The report is segmented by Components (Solutions, Services); Data Sources (Video and Image Recognition, Speech Recognition, Biometric Data, Sensor Data, Mobile Data); Applications (Autonomous Vehicles, Access Management, Video Surveillance, Remote Monitoring and Predictive Maintenance, Telemetry (Location Services), Energy Management, Others); Verticals (Government and Public, Manufacturing, Automotive, Energy and Utilities, Telecom, Healthcare, Others). The global analysis is further broken-down at regional level and major countries. The Report Offers the Value in USD for the above analysis and segments.

Purpose of the Report

The report Edge AI Software Market by The Insight Partners aims to describe the present landscape and future growth, top driving factors, challenges, and opportunities. This will provide insights to various business stakeholders, such as:

  • Technology Providers/Manufacturers: To understand the evolving market dynamics and know the potential growth opportunities, enabling them to make informed strategic decisions.
  • Investors: To conduct a comprehensive trend analysis regarding the market growth rate, market financial projections, and opportunities that exist across the value chain.
  • Regulatory bodies: To regulate policies and police activities in the market with the aim of minimizing abuse, preserving investor trust and confidence, and upholding the integrity and stability of the market.

Edge AI Software Market Segmentation

Components
  • Solutions
  • Services
Data Sources
  • Video and Image Recognition
  • Speech Recognition
  • Biometric Data
  • Sensor Data
  • Mobile Data
Applications
  • Autonomous Vehicles
  • Access Management
  • Video Surveillance
  • Remote Monitoring and Predictive Maintenance
  • Telemetry
  • Energy Management
Verticals
  • Government and Public
  • Manufacturing
  • Automotive
  • Energy and Utilities
  • Telecom
  • Healthcare
  • Others

Strategic Insights

Edge AI Software Market Growth Drivers
  • Demand for Real-Time Processing and Low Latency: One of the key driving forces behind the growth of the Edge AI software market is the need for minimal latency in real-time data processing. In autonomous vehicles, industrial automation, and healthcare industries, decisions must be taken in real time to ensure safety, efficiency, and optimal performance. Edge AI allows AI models to run locally on a device, reducing the amount of data that needs to be sent to a centralized cloud server, allowing it to make decisions in real time with no delay caused by network latency.
  • Proliferation of IoT Devices: The growing Internet of Things (IoT) ecosystem is one of the most significant factors driving the adoption of Edge AI. Since millions of IoT devices are being implemented in various industries, there is a greater necessity for the devices to analyze and interpret data locally. These local-processing edge AI softwares simplify this high volume of IoT gadget generated data and are then utilized to process more accurately such information in a less-clogging manner and the findings given in real-time not overcrowding the cloud structure.
Edge AI Software Market Future Trends
  • Increased Focus on Privacy and Data Security: One of the most critical issues includes privacy and data security, especially in health care, finance, and government. The use of Edge AI allows for local processing on devices, reducing the need to send sensitive information to cloud servers, which could then serve as a means of minimizing the risk of privacy. Going forward, there will be much emphasis on the inclusion of sophisticated security features in Edge AI systems, such as edge encryption and secure data storage, to meet regulatory compliance and protect consumer data.
  • Expansion of Edge AI in IoT Devices: The edge AI software market is set to grow as more IoT devices incorporate edge computing capabilities. By processing data locally, edge AI will reduce latency, enhance real-time decision-making, and lower bandwidth requirements. This will drive innovation across sectors like healthcare, manufacturing, and smart cities, enabling more efficient, autonomous, and scalable solutions.
Edge AI Software Market Opportunities
  • Advancements in AI and Machine Learning Algorithms: Edge AI software has acquired increased viability due to significant developments in AI and ML algorithms. Modern algorithms are being designed to be more compact, efficient, and deployable on devices that have very low computational capabilities. This allows companies to deploy complex AI models on edge devices without the need to use high-power cloud servers to make Edge AI solutions pervasive across industries.
  • Smart Cities and Infrastructure: The development of smart cities offers a compelling opportunity for Edge AI because it allows local devices to manage and process data in real time for applications like traffic management, energy consumption optimization, surveillance, and environmental monitoring. By processing data at the edge, these applications can be run more efficiently, provide real-time insights that improve living conditions in urban areas, and reduce energy consumption.

Market Report Scope

Key Selling Points

  • Comprehensive Coverage: The report comprehensively covers the analysis of products, services, types, and end users of the Edge AI Software Market, providing a holistic landscape.
  • Expert Analysis: The report is compiled based on the in-depth understanding of industry experts and analysts.
  • Up-to-date Information: The report assures business relevance due to its coverage of recent information and data trends.
  • Customization Options: This report can be customized to cater to specific client requirements and suit the business strategies aptly.

The research report on the Edge AI Software Market can, therefore, help spearhead the trail of decoding and understanding the industry scenario and growth prospects. Although there can be a few valid concerns, the overall benefits of this report tend to outweigh the disadvantages.

REGIONAL FRAMEWORK
World Geography

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Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

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to country scope.

Frequently Asked Questions


What are the options available for the customization of this report?

Some of the customization options available based on the request are an additional 3-5 company profiles and country-specific analysis of 3-5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation as our team would review the same and check the feasibility

What are the deliverable formats of the edge AI software market report?

The report can be delivered in PDF/PPT format; we can also share excel dataset based on the request

What are the driving factors impacting the edge AI software market?

The major factors driving the edge AI software market are:

1. Demand for Real-Time Processing and Low Latency

2. Proliferation of IoT Devices

What are the future trends of the edge AI software market?

Increased Focus on Privacy and Data Security is anticipated to play a significant role in the global edge AI software market in the coming years

What is the expected CAGR of the edge AI software market?

The Edge AI Software Market is estimated to witness a CAGR of 20.1% from 2023 to 2031

TABLE OF CONTENTS

1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1 Edge AI Software Market - By Components
1.3.2 Edge AI Software Market - By Data Sources
1.3.3 Edge AI Software Market - By Applications
1.3.4 Edge AI Software Market - By Verticals
1.3.5 Edge AI Software Market - By Region
1.3.5.1 By Country

2. KEY TAKEAWAYS

3. RESEARCH METHODOLOGY

4. EDGE AI SOFTWARE MARKET LANDSCAPE
4.1. OVERVIEW
4.2. PORTER'S FIVE FORCES ANALYSIS
4.2.1 Bargaining Power of Buyers
4.2.1 Bargaining Power of Suppliers
4.2.1 Threat of Substitute
4.2.1 Threat of New Entrants
4.2.1 Competitive Rivalry
4.3. ECOSYSTEM ANALYSIS
4.4. EXPERT OPINIONS

5. EDGE AI SOFTWARE MARKET - KEY MARKET DYNAMICS
5.1. KEY MARKET DRIVERS
5.2. KEY MARKET RESTRAINTS
5.3. KEY MARKET OPPORTUNITIES
5.4. FUTURE TRENDS
5.5. IMPACT ANALYSIS OF DRIVERS AND RESTRAINTS

6. EDGE AI SOFTWARE MARKET - GLOBAL MARKET ANALYSIS
6.1. EDGE AI SOFTWARE - GLOBAL MARKET OVERVIEW
6.2. EDGE AI SOFTWARE - GLOBAL MARKET AND FORECAST TO 2028
6.3. MARKET POSITIONING/MARKET SHARE

7. EDGE AI SOFTWARE MARKET - REVENUE AND FORECASTS TO 2028 - COMPONENTS
7.1. OVERVIEW
7.2. COMPONENTS MARKET FORECASTS AND ANALYSIS
7.3. SOLUTIONS
7.3.1. Overview
7.3.2. Solutions Market Forecast and Analysis
7.3.3. Software Tools Market
7.3.3.1. Overview
7.3.3.2. Software Tools Market Forecast and Analysis
7.3.4. Platform Market
7.3.4.1. Overview
7.3.4.2. Platform Market Forecast and Analysis
7.4. SERVICES
7.4.1. Overview
7.4.2. Services Market Forecast and Analysis
7.4.3. Training and Consulting Market
7.4.3.1. Overview
7.4.3.2. Training and Consulting Market Forecast and Analysis
7.4.4. System Integration and Testing Market
7.4.4.1. Overview
7.4.4.2. System Integration and Testing Market Forecast and Analysis
7.4.5. Support and Maintenance Market
7.4.5.1. Overview
7.4.5.2. Support and Maintenance Market Forecast and Analysis
8. EDGE AI SOFTWARE MARKET - REVENUE AND FORECASTS TO 2028 - DATA SOURCES
8.1. OVERVIEW
8.2. DATA SOURCES MARKET FORECASTS AND ANALYSIS
8.3. VIDEO AND IMAGE RECOGNITION
8.3.1. Overview
8.3.2. Video and Image Recognition Market Forecast and Analysis
8.4. SPEECH RECOGNITION
8.4.1. Overview
8.4.2. Speech Recognition Market Forecast and Analysis
8.5. BIOMETRIC DATA
8.5.1. Overview
8.5.2. Biometric Data Market Forecast and Analysis
8.6. SENSOR DATA
8.6.1. Overview
8.6.2. Sensor Data Market Forecast and Analysis
8.7. MOBILE DATA
8.7.1. Overview
8.7.2. Mobile Data Market Forecast and Analysis
9. EDGE AI SOFTWARE MARKET - REVENUE AND FORECASTS TO 2028 - APPLICATIONS
9.1. OVERVIEW
9.2. APPLICATIONS MARKET FORECASTS AND ANALYSIS
9.3. AUTONOMOUS VEHICLES
9.3.1. Overview
9.3.2. Autonomous Vehicles Market Forecast and Analysis
9.4. ACCESS MANAGEMENT
9.4.1. Overview
9.4.2. Access Management Market Forecast and Analysis
9.5. VIDEO SURVEILLANCE
9.5.1. Overview
9.5.2. Video Surveillance Market Forecast and Analysis
9.6. REMOTE MONITORING AND PREDICTIVE MAINTENANCE
9.6.1. Overview
9.6.2. Remote Monitoring and Predictive Maintenance Market Forecast and Analysis
9.7. TELEMETRY (LOCATION SERVICES)
9.7.1. Overview
9.7.2. Telemetry (Location Services) Market Forecast and Analysis
9.8. ENERGY MANAGEMENT
9.8.1. Overview
9.8.2. Energy Management Market Forecast and Analysis
9.9. OTHERS
9.9.1. Overview
9.9.2. Others Market Forecast and Analysis
10. EDGE AI SOFTWARE MARKET - REVENUE AND FORECASTS TO 2028 - VERTICALS
10.1. OVERVIEW
10.2. VERTICALS MARKET FORECASTS AND ANALYSIS
10.3. GOVERNMENT AND PUBLIC
10.3.1. Overview
10.3.2. Government and Public Market Forecast and Analysis
10.4. MANUFACTURING
10.4.1. Overview
10.4.2. Manufacturing Market Forecast and Analysis
10.5. AUTOMOTIVE
10.5.1. Overview
10.5.2. Automotive Market Forecast and Analysis
10.6. ENERGY AND UTILITIES
10.6.1. Overview
10.6.2. Energy and Utilities Market Forecast and Analysis
10.7. TELECOM
10.7.1. Overview
10.7.2. Telecom Market Forecast and Analysis
10.8. HEALTHCARE
10.8.1. Overview
10.8.2. Healthcare Market Forecast and Analysis
10.9. OTHERS
10.9.1. Overview
10.9.2. Others Market Forecast and Analysis

11. EDGE AI SOFTWARE MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
11.1. NORTH AMERICA
11.1.1 North America Edge AI Software Market Overview
11.1.2 North America Edge AI Software Market Forecasts and Analysis
11.1.3 North America Edge AI Software Market Forecasts and Analysis - By Components
11.1.4 North America Edge AI Software Market Forecasts and Analysis - By Data Sources
11.1.5 North America Edge AI Software Market Forecasts and Analysis - By Applications
11.1.6 North America Edge AI Software Market Forecasts and Analysis - By Verticals
11.1.7 North America Edge AI Software Market Forecasts and Analysis - By Countries
11.1.7.1 United States Edge AI Software Market
11.1.7.1.1 United States Edge AI Software Market by Components
11.1.7.1.2 United States Edge AI Software Market by Data Sources
11.1.7.1.3 United States Edge AI Software Market by Applications
11.1.7.1.4 United States Edge AI Software Market by Verticals
11.1.7.2 Canada Edge AI Software Market
11.1.7.2.1 Canada Edge AI Software Market by Components
11.1.7.2.2 Canada Edge AI Software Market by Data Sources
11.1.7.2.3 Canada Edge AI Software Market by Applications
11.1.7.2.4 Canada Edge AI Software Market by Verticals
11.1.7.3 Mexico Edge AI Software Market
11.1.7.3.1 Mexico Edge AI Software Market by Components
11.1.7.3.2 Mexico Edge AI Software Market by Data Sources
11.1.7.3.3 Mexico Edge AI Software Market by Applications
11.1.7.3.4 Mexico Edge AI Software Market by Verticals
11.2. EUROPE
11.2.1 Europe Edge AI Software Market Overview
11.2.2 Europe Edge AI Software Market Forecasts and Analysis
11.2.3 Europe Edge AI Software Market Forecasts and Analysis - By Components
11.2.4 Europe Edge AI Software Market Forecasts and Analysis - By Data Sources
11.2.5 Europe Edge AI Software Market Forecasts and Analysis - By Applications
11.2.6 Europe Edge AI Software Market Forecasts and Analysis - By Verticals
11.2.7 Europe Edge AI Software Market Forecasts and Analysis - By Countries
11.2.7.1 Germany Edge AI Software Market
11.2.7.1.1 Germany Edge AI Software Market by Components
11.2.7.1.2 Germany Edge AI Software Market by Data Sources
11.2.7.1.3 Germany Edge AI Software Market by Applications
11.2.7.1.4 Germany Edge AI Software Market by Verticals
11.2.7.2 France Edge AI Software Market
11.2.7.2.1 France Edge AI Software Market by Components
11.2.7.2.2 France Edge AI Software Market by Data Sources
11.2.7.2.3 France Edge AI Software Market by Applications
11.2.7.2.4 France Edge AI Software Market by Verticals
11.2.7.3 Italy Edge AI Software Market
11.2.7.3.1 Italy Edge AI Software Market by Components
11.2.7.3.2 Italy Edge AI Software Market by Data Sources
11.2.7.3.3 Italy Edge AI Software Market by Applications
11.2.7.3.4 Italy Edge AI Software Market by Verticals
11.2.7.4 United Kingdom Edge AI Software Market
11.2.7.4.1 United Kingdom Edge AI Software Market by Components
11.2.7.4.2 United Kingdom Edge AI Software Market by Data Sources
11.2.7.4.3 United Kingdom Edge AI Software Market by Applications
11.2.7.4.4 United Kingdom Edge AI Software Market by Verticals
11.2.7.5 Russia Edge AI Software Market
11.2.7.5.1 Russia Edge AI Software Market by Components
11.2.7.5.2 Russia Edge AI Software Market by Data Sources
11.2.7.5.3 Russia Edge AI Software Market by Applications
11.2.7.5.4 Russia Edge AI Software Market by Verticals
11.2.7.6 Rest of Europe Edge AI Software Market
11.2.7.6.1 Rest of Europe Edge AI Software Market by Components
11.2.7.6.2 Rest of Europe Edge AI Software Market by Data Sources
11.2.7.6.3 Rest of Europe Edge AI Software Market by Applications
11.2.7.6.4 Rest of Europe Edge AI Software Market by Verticals
11.3. ASIA-PACIFIC
11.3.1 Asia-Pacific Edge AI Software Market Overview
11.3.2 Asia-Pacific Edge AI Software Market Forecasts and Analysis
11.3.3 Asia-Pacific Edge AI Software Market Forecasts and Analysis - By Components
11.3.4 Asia-Pacific Edge AI Software Market Forecasts and Analysis - By Data Sources
11.3.5 Asia-Pacific Edge AI Software Market Forecasts and Analysis - By Applications
11.3.6 Asia-Pacific Edge AI Software Market Forecasts and Analysis - By Verticals
11.3.7 Asia-Pacific Edge AI Software Market Forecasts and Analysis - By Countries
11.3.7.1 Australia Edge AI Software Market
11.3.7.1.1 Australia Edge AI Software Market by Components
11.3.7.1.2 Australia Edge AI Software Market by Data Sources
11.3.7.1.3 Australia Edge AI Software Market by Applications
11.3.7.1.4 Australia Edge AI Software Market by Verticals
11.3.7.2 China Edge AI Software Market
11.3.7.2.1 China Edge AI Software Market by Components
11.3.7.2.2 China Edge AI Software Market by Data Sources
11.3.7.2.3 China Edge AI Software Market by Applications
11.3.7.2.4 China Edge AI Software Market by Verticals
11.3.7.3 India Edge AI Software Market
11.3.7.3.1 India Edge AI Software Market by Components
11.3.7.3.2 India Edge AI Software Market by Data Sources
11.3.7.3.3 India Edge AI Software Market by Applications
11.3.7.3.4 India Edge AI Software Market by Verticals
11.3.7.4 Japan Edge AI Software Market
11.3.7.4.1 Japan Edge AI Software Market by Components
11.3.7.4.2 Japan Edge AI Software Market by Data Sources
11.3.7.4.3 Japan Edge AI Software Market by Applications
11.3.7.4.4 Japan Edge AI Software Market by Verticals
11.3.7.5 South Korea Edge AI Software Market
11.3.7.5.1 South Korea Edge AI Software Market by Components
11.3.7.5.2 South Korea Edge AI Software Market by Data Sources
11.3.7.5.3 South Korea Edge AI Software Market by Applications
11.3.7.5.4 South Korea Edge AI Software Market by Verticals
11.3.7.6 Rest of Asia-Pacific Edge AI Software Market
11.3.7.6.1 Rest of Asia-Pacific Edge AI Software Market by Components
11.3.7.6.2 Rest of Asia-Pacific Edge AI Software Market by Data Sources
11.3.7.6.3 Rest of Asia-Pacific Edge AI Software Market by Applications
11.3.7.6.4 Rest of Asia-Pacific Edge AI Software Market by Verticals
11.4. MIDDLE EAST AND AFRICA
11.4.1 Middle East and Africa Edge AI Software Market Overview
11.4.2 Middle East and Africa Edge AI Software Market Forecasts and Analysis
11.4.3 Middle East and Africa Edge AI Software Market Forecasts and Analysis - By Components
11.4.4 Middle East and Africa Edge AI Software Market Forecasts and Analysis - By Data Sources
11.4.5 Middle East and Africa Edge AI Software Market Forecasts and Analysis - By Applications
11.4.6 Middle East and Africa Edge AI Software Market Forecasts and Analysis - By Verticals
11.4.7 Middle East and Africa Edge AI Software Market Forecasts and Analysis - By Countries
11.4.7.1 South Africa Edge AI Software Market
11.4.7.1.1 South Africa Edge AI Software Market by Components
11.4.7.1.2 South Africa Edge AI Software Market by Data Sources
11.4.7.1.3 South Africa Edge AI Software Market by Applications
11.4.7.1.4 South Africa Edge AI Software Market by Verticals
11.4.7.2 Saudi Arabia Edge AI Software Market
11.4.7.2.1 Saudi Arabia Edge AI Software Market by Components
11.4.7.2.2 Saudi Arabia Edge AI Software Market by Data Sources
11.4.7.2.3 Saudi Arabia Edge AI Software Market by Applications
11.4.7.2.4 Saudi Arabia Edge AI Software Market by Verticals
11.4.7.3 U.A.E Edge AI Software Market
11.4.7.3.1 U.A.E Edge AI Software Market by Components
11.4.7.3.2 U.A.E Edge AI Software Market by Data Sources
11.4.7.3.3 U.A.E Edge AI Software Market by Applications
11.4.7.3.4 U.A.E Edge AI Software Market by Verticals
11.4.7.4 Rest of Middle East and Africa Edge AI Software Market
11.4.7.4.1 Rest of Middle East and Africa Edge AI Software Market by Components
11.4.7.4.2 Rest of Middle East and Africa Edge AI Software Market by Data Sources
11.4.7.4.3 Rest of Middle East and Africa Edge AI Software Market by Applications
11.4.7.4.4 Rest of Middle East and Africa Edge AI Software Market by Verticals
11.5. SOUTH AND CENTRAL AMERICA
11.5.1 South and Central America Edge AI Software Market Overview
11.5.2 South and Central America Edge AI Software Market Forecasts and Analysis
11.5.3 South and Central America Edge AI Software Market Forecasts and Analysis - By Components
11.5.4 South and Central America Edge AI Software Market Forecasts and Analysis - By Data Sources
11.5.5 South and Central America Edge AI Software Market Forecasts and Analysis - By Applications
11.5.6 South and Central America Edge AI Software Market Forecasts and Analysis - By Verticals
11.5.7 South and Central America Edge AI Software Market Forecasts and Analysis - By Countries
11.5.7.1 Brazil Edge AI Software Market
11.5.7.1.1 Brazil Edge AI Software Market by Components
11.5.7.1.2 Brazil Edge AI Software Market by Data Sources
11.5.7.1.3 Brazil Edge AI Software Market by Applications
11.5.7.1.4 Brazil Edge AI Software Market by Verticals
11.5.7.2 Argentina Edge AI Software Market
11.5.7.2.1 Argentina Edge AI Software Market by Components
11.5.7.2.2 Argentina Edge AI Software Market by Data Sources
11.5.7.2.3 Argentina Edge AI Software Market by Applications
11.5.7.2.4 Argentina Edge AI Software Market by Verticals
11.5.7.3 Rest of South and Central America Edge AI Software Market
11.5.7.3.1 Rest of South and Central America Edge AI Software Market by Components
11.5.7.3.2 Rest of South and Central America Edge AI Software Market by Data Sources
11.5.7.3.3 Rest of South and Central America Edge AI Software Market by Applications
11.5.7.3.4 Rest of South and Central America Edge AI Software Market by Verticals

12. INDUSTRY LANDSCAPE
12.1. MERGERS AND ACQUISITIONS
12.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
12.3. NEW PRODUCT LAUNCHES
12.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS

13. EDGE AI SOFTWARE MARKET, KEY COMPANY PROFILES
13.1. IBM
13.1.1. Key Facts
13.1.2. Business Description
13.1.3. Products and Services
13.1.4. Financial Overview
13.1.5. SWOT Analysis
13.1.6. Key Developments
13.2. GOOGLE
13.2.1. Key Facts
13.2.2. Business Description
13.2.3. Products and Services
13.2.4. Financial Overview
13.2.5. SWOT Analysis
13.2.6. Key Developments
13.3. MICROSOFT
13.3.1. Key Facts
13.3.2. Business Description
13.3.3. Products and Services
13.3.4. Financial Overview
13.3.5. SWOT Analysis
13.3.6. Key Developments
13.4. AMAZON WEB SERVICES, INC.
13.4.1. Key Facts
13.4.2. Business Description
13.4.3. Products and Services
13.4.4. Financial Overview
13.4.5. SWOT Analysis
13.4.6. Key Developments
13.5. NUTANIX
13.5.1. Key Facts
13.5.2. Business Description
13.5.3. Products and Services
13.5.4. Financial Overview
13.5.5. SWOT Analysis
13.5.6. Key Developments
13.6. TIBCO SOFTWARE INC
13.6.1. Key Facts
13.6.2. Business Description
13.6.3. Products and Services
13.6.4. Financial Overview
13.6.5. SWOT Analysis
13.6.6. Key Developments
13.7. OCTONION SA
13.7.1. Key Facts
13.7.2. Business Description
13.7.3. Products and Services
13.7.4. Financial Overview
13.7.5. SWOT Analysis
13.7.6. Key Developments
13.8. SWIM.AI INC.
13.8.1. Key Facts
13.8.2. Business Description
13.8.3. Products and Services
13.8.4. Financial Overview
13.8.5. SWOT Analysis
13.8.6. Key Developments
13.9. IMAGIMOB AB
13.9.1. Key Facts
13.9.2. Business Description
13.9.3. Products and Services
13.9.4. Financial Overview
13.9.5. SWOT Analysis
13.9.6. Key Developments
13.10. ANAGOG LTD.
13.10.1. Key Facts
13.10.2. Business Description
13.10.3. Products and Services
13.10.4. Financial Overview
13.10.5. SWOT Analysis
13.10.6. Key Developments

14. APPENDIX
14.1. ABOUT THE INSIGHT PARTNERS
14.2. GLOSSARY OF TERMS
The List of Companies

1. IBM
2. Google
3. Microsoft
4. Amazon Web Services, Inc.
5. Nutanix
6. TIBCO Software Inc
7. Octonion SA
8. SWIM.AI inc.
9. Imagimob AB
10. Anagog Ltd.

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • 3.1 Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • 3.2 Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • 3.3 Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • 3.4 Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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