Global AI-enabled Testing Market is valued at approximately USD 414.7 Million in 2022 and is anticipated to grow with a healthy growth rate of more than 18.4% over the forecast period 2023-2030. AI-enabled testing, also known as artificial intelligence in testing, refers to the use of artificial intelligence (AI) and machine learning (ML) techniques to enhance and automate various aspects of software testing. Software testing is a critical part of the software development life cycle, and AI can play a significant role in making it more efficient, accurate, and cost-effective. The key factors driving the market growth is continuous integration and continuous deployment, rising demand for AI and ML applications, and rising shift from manual to automated testing that anticipated to support the market growth.
Moreover, the rising adoption of artificial intelligence (AI) is indeed supporting the growth of the AI-enabled testing market. AI enables the automation of various testing processes, including test case generation, execution, and analysis. This reduces the need for manual testing efforts, leading to faster and more efficient testing processes. Automated testing can be performed around the clock, accelerating the development cycle. According to Statista, in 2018, the global artificial intelligence (AI) software market was valued USD 10.1 billion and it is anticipated to reach USD 126 billion by 2025. In addition, improved efficiency and accuracy and innovative testing methodologies a major opportunities for the market. However, the non-deterministic nature of AI systems is a major challenge for the market.
The key regions considered for the Global AI-enabled Testing Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the presence of key market players, growing adoption of AI and ML, growing industrialization and cohesive government initiative and policies. Whereas, the Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as the increasing digital transformation, rising need for efficient testing, and growing ai and machine learning expertise.
Major market player included in this report are:
- Tricentis
- Micro Focus International Plc
- testRigor
- Capgemini SE
- Applitools
- Diffblue Ltd.
- Functionize Inc.
- D2L Corp.
- ReTest Gmbh
- Sauce Labs Inc.
Recent Developments in the Market:
- In Feb, 2023, Micro Focus, a cybersecurity expert, was acquired by OpenText With this purchase, OpenText's corporate goal broadens to support business professionals in securing their operations, gaining more visibility into their data, and managing a digital fabric that is becoming more hybrid and complicated.
Global AI-enabled Testing Market Report Scope:
- Historical Data - 2020 - 2021
- Base Year for Estimation - 2022
- Forecast period - 2023-2030
- Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
- Segments Covered - Component, Deployment, Technology, Application, End-Use, Region
- Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
- Customization Scope - Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
By Deployment:
By Technology:
- Machine Learning and pattern Recognition
- Natural Language Processing (NLP)
- Computer Vision and Image Processing
By Application:
- Test Automation
- Infrastructure Optimization
- Others
By End-Use:
- Healthcare
- IT & Telecommunication
- Energy & Utilities
- BFSI
- Government
- Others
By Region:
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Spain
- Italy
- ROE
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- RoAPAC
- Latin America
- Brazil
- Mexico
- Middle East & Africa
- Saudi Arabia
- South Africa
- Rest of Middle East & Africa
Table of Contents
Chapter 1. Executive Summary
- 1.1. Market Snapshot
- 1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Million)
- 1.2.1. AI-enabled Testing Market, by Region, 2020-2030 (USD Million)
- 1.2.2. AI-enabled Testing Market, by Component, 2020-2030 (USD Million)
- 1.2.3. AI-enabled Testing Market, by Deployment, 2020-2030 (USD Million)
- 1.2.4. AI-enabled Testing Market, by Technology, 2020-2030 (USD Million)
- 1.2.5. AI-enabled Testing Market, by Application, 2020-2030 (USD Million)
- 1.2.6. AI-enabled Testing Market, by End-Use, 2020-2030 (USD Million)
- 1.3. Key Trends
- 1.4. Estimation Methodology
- 1.5. Research Assumption
Chapter 2. Global AI-enabled Testing Market Definition and Scope
- 2.1. Objective of the Study
- 2.2. Market Definition & Scope
- 2.2.1. Industry Evolution
- 2.2.2. Scope of the Study
- 2.3. Years Considered for the Study
- 2.4. Currency Conversion Rates
Chapter 3. Global AI-enabled Testing Market Dynamics
- 3.1. AI-enabled Testing Market Impact Analysis (2020-2030)
- 3.1.1. Market Drivers
- 3.1.1.1. Increase in Demand of Artificial Intelligence (AI)
- 3.1.1.2. Improved efficiency and productivity
- 3.1.1.3. Ease of Maintenance
- 3.1.2. Market Challenges
- 3.1.2.1. Non-Deterministic Nature of AI Systems
- 3.1.3. Market Opportunities
- 3.1.3.1. Improved Efficiency and Accuracy
- 3.1.3.2. Innovative Testing Methodologies
Chapter 4. Global AI-enabled Testing Market Industry Analysis
- 4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.2. Porter's 5 Force Impact Analysis
- 4.3. PEST Analysis
- 4.3.1. Political
- 4.3.2. Economical
- 4.3.3. Social
- 4.3.4. Technological
- 4.3.5. Environmental
- 4.3.6. Legal
- 4.4. Top investment opportunity
- 4.5. Top winning strategies
- 4.6. COVID-19 Impact Analysis
- 4.7. Disruptive Trends
- 4.8. Industry Expert Perspective
- 4.9. Analyst Recommendation & Conclusion
Chapter 5. Global AI-enabled Testing Market, by Component
- 5.1. Market Snapshot
- 5.2. Global AI-enabled Testing Market by Component, Performance - Potential Analysis
- 5.3. Global AI-enabled Testing Market Estimates & Forecasts by Component 2020-2030 (USD Million)
- 5.4. AI-enabled Testing Market, Sub Segment Analysis
- 5.4.1. Solution
- 5.4.2. Services
Chapter 6. Global AI-enabled Testing Market, by Deployment
- 6.1. Market Snapshot
- 6.2. Global AI-enabled Testing Market by Deployment, Performance - Potential Analysis
- 6.3. Global AI-enabled Testing Market Estimates & Forecasts by Deployment 2020-2030 (USD Million)
- 6.4. AI-enabled Testing Market, Sub Segment Analysis
- 6.4.1. Cloud
- 6.4.2. On-premises
Chapter 7. Global AI-enabled Testing Market, by Technology
- 7.1. Market Snapshot
- 7.2. Global AI-enabled Testing Market by Technology, Performance - Potential Analysis
- 7.3. Global AI-enabled Testing Market Estimates & Forecasts by Technology 2020-2030 (USD Million)
- 7.4. AI-enabled Testing Market, Sub Segment Analysis
- 7.4.1. Machine Learning and Pattern Recognition
- 7.4.2. Natural Language Processing (NLP)
- 7.4.3. Computer Vision and Image Processing
Chapter 8. Global AI-enabled Testing Market, by Application
- 8.1. Market Snapshot
- 8.2. Global AI-enabled Testing Market by Application, Performance - Potential Analysis
- 8.3. Global AI-enabled Testing Market Estimates & Forecasts by Application 2020-2030 (USD Million)
- 8.4. AI-enabled Testing Market, Sub Segment Analysis
- 8.4.1. Test Automation
- 8.4.2. Infrastructure Optimization
- 8.4.3. Others
Chapter 9. Global AI-enabled Testing Market, by End-Use
- 9.1. Market Snapshot
- 9.2. Global AI-enabled Testing Market by End-Use, Performance - Potential Analysis
- 9.3. Global AI-enabled Testing Market Estimates & Forecasts by End-Use 2020-2030 (USD Million)
- 9.4. AI-enabled Testing Market, Sub Segment Analysis
- 9.4.1. Healthcare
- 9.4.2. IT & Telecommunication
- 9.4.3. Energy & Utilities
- 9.4.4. BFSI
- 9.4.5. Government
- 9.4.6. Others
Chapter 10. Global AI-enabled Testing Market, Regional Analysis
- 10.1. Top Leading Countries
- 10.2. Top Emerging Countries
- 10.3. AI-enabled Testing Market, Regional Market Snapshot
- 10.4. North America AI-enabled Testing Market
- 10.4.1. U.S. AI-enabled Testing Market
- 10.4.1.1. Component breakdown estimates & forecasts, 2020-2030
- 10.4.1.2. Deployment breakdown estimates & forecasts, 2020-2030
- 10.4.1.3. Technology breakdown estimates & forecasts, 2020-2030
- 10.4.1.4. Application breakdown estimates & forecasts, 2020-2030
- 10.4.1.5. End-Use breakdown estimates & forecasts, 2020-2030
- 10.4.2. Canada AI-enabled Testing Market
- 10.5. Europe AI-enabled Testing Market Snapshot
- 10.5.1. U.K. AI-enabled Testing Market
- 10.5.2. Germany AI-enabled Testing Market
- 10.5.3. France AI-enabled Testing Market
- 10.5.4. Spain AI-enabled Testing Market
- 10.5.5. Italy AI-enabled Testing Market
- 10.5.6. Rest of Europe AI-enabled Testing Market
- 10.6. Asia-Pacific AI-enabled Testing Market Snapshot
- 10.6.1. China AI-enabled Testing Market
- 10.6.2. India AI-enabled Testing Market
- 10.6.3. Japan AI-enabled Testing Market
- 10.6.4. Australia AI-enabled Testing Market
- 10.6.5. South Korea AI-enabled Testing Market
- 10.6.6. Rest of Asia Pacific AI-enabled Testing Market
- 10.7. Latin America AI-enabled Testing Market Snapshot
- 10.7.1. Brazil AI-enabled Testing Market
- 10.7.2. Mexico AI-enabled Testing Market
- 10.8. Middle East & Africa AI-enabled Testing Market
- 10.8.1. Saudi Arabia AI-enabled Testing Market
- 10.8.2. South Africa AI-enabled Testing Market
- 10.8.3. Rest of Middle East & Africa AI-enabled Testing Market
Chapter 11. Competitive Intelligence
- 11.1. Key Company SWOT Analysis
- 11.1.1. Company 1
- 11.1.2. Company 2
- 11.1.3. Company 3
- 11.2. Top Market Strategies
- 11.3. Company Profiles
- 11.3.1. Tricentis
- 11.3.1.1. Key Information
- 11.3.1.2. Overview
- 11.3.1.3. Financial (Subject to Data Availability)
- 11.3.1.4. Product Summary
- 11.3.1.5. Recent Developments
- 11.3.2. Micro Focus International Plc
- 11.3.3. testRigor
- 11.3.4. Capgemini SE
- 11.3.5. Applitools
- 11.3.6. Diffblue Ltd.
- 11.3.7. Functionize Inc.
- 11.3.8. D2L Corp.
- 11.3.9. ReTest Gmbh
- 11.3.10. Sauce Labs Inc.
Chapter 12. Research Process
- 12.1. Research Process
- 12.1.1. Data Mining
- 12.1.2. Analysis
- 12.1.3. Market Estimation
- 12.1.4. Validation
- 12.1.5. Publishing
- 12.2. Research Attributes
- 12.3. Research Assumption