Product Code: GVR-4-68040-089-8
AI-enabled Testing Market Growth & Trends
The global AI-enabled testing market size is anticipated to reach USD 1.63 billion by 2030, registering a CAGR of 18.4% from 2023 to 2030, according to a new report by Grand View Research, Inc. Emerging Artificial Intelligence (AI) is transforming the technological landscape. Its application in numerous facets of software and tools development is fueling market growth. Moreover, Significant innovations and launches in computer vision & image processing are anticipated to drive market growth. For instance, Applitools's Visual AI for software testing provides accuracy using trained AI and Machine Learning (ML) algorithms. Similarly, in April 2023, A no-code, generative AI-driven mobile app testing solution SofySense was introduced by the software testing platform Sofy.
By integrating GPT-integrated, intelligent software-testing AI technology, the service improves Sofy's current platform and aids in quality assurance.Major players are focusing on innovations and the development of AI-enabled testing tools to stay ahead in the market. For instance, in October 2022, Keysight Technologies unveiled new automated AI testing to enhance 5G devices. The business launched this testing tool to increase smartphone users' interaction with built-in applications through automation and artificial intelligence. Similarly, in February 2021, Sauce Labs Inc. acquired AutonomIQ; This acquisition enhances scriptless test automation to an expanding capability set that already includes visual testing, API testing, front-end performance testing, and functional UI testing to broaden further and deepen the Sauce Labs portfolio.
The self-healing test is likely to fuel the AI-enabled testing tools market growth. The components of an application are defined by distinct identifiers in traditional test automation systems. These elements may also alter whenever the application is upgraded or modified. Since items have fixed definitions, previously successful tests will now fail and produce false negative results. AI algorithms are used in self-healing tests to detect unanticipated mistakes caused by dynamic properties automatically and either suggest a better solution or automatically update the script. This testing avoids test failures and saves QA staff time from having to track down and resolve any problems.
AI-enabled Testing Market Report Highlights
- The software segment led the market in 2022 accounting for over 77% share of the global revenue. The emergence of AI applications in numerous facets of software development will fuel market growth. Testing application in software focuses on making the software development life cycle easier. AI algorithms analyze vast amounts of data and identify patterns, allowing for improved test coverage
- The cloud segment is estimated to grow at the highest CAGR over the forecast period. This growth is led by cloud-based solutions offering unlimited scalability and resources. Organizations efficiently deliver and scale up or down their AI-enabled testing infrastructure based on the demand
- The test automation segment dominated the market with a share of over 58% in 2022. The growth is led by AI-testing tools, which enhance test automation by leveraging AI algorithms and techniques. Combined with cloud computing instances, it can bring even more scalability and flexibility to the testing process
- The NLP segment is witnessing rapid growth owing to the growing acceptance of novel technology advancements. Increased customer demands for cloud-based technology and advancements in communication infrastructure are accelerating NLP growth
- IT & telecommunication led the market in 2022 with a share of over 18%. The industry has been significantly impacted by AI testing, bringing numerous benefits and advancements to various aspects of telecommunications. AI testing techniques are automating the testing process, enabling faster and more efficient testing of telecommunication networks, services, and systems
- Asia Pacific is anticipated to register the highest CAGR over the forecast period. India, China, Japan, and other countries of Asia Pacific are innovating and launching new products and platforms. For instance, in June 2022, Singapore introduced the first AIgovernance testing framework and toolbox to assist AI developers in objectively and independently evaluating their systems
Table of Contents
Chapter 1 Methodology And Scope
- 1.1 Research Methodology
- 1.2 Research Scope & Assumptions
- 1.3 Information Procurement
- 1.3.1 Purchased Database
- 1.3.2 Gvr's Internal Database
- 1.3.3 Secondary Sources & Third Party Perspective
- 1.3.4 Primary Research
- 1.4 Information Analysis
- 1.4.1 Data Analysis Models
- 1.5 Market Formulation And Data Visualization
- 1.6 Data Validation And Publishing
Chapter 2 Executive Summary
- 2.1 Market Outlook
- 2.2 Segmental Outlook
- 2.3 Competitive Insights
Chapter 3 Market Variables, Trends & Scope
- 3.1 Market Lineage
- 3.2 Industry Value Chain Analysis
- 3.3 Ai-Enabled Testing Market - Market Dynamics
- 3.3.1 Market Driver Analysis
- 3.3.2 Market Restraint Analysis
- 3.3.3 Industry Challenges
- 3.3.4 Industry Opportunities
- 3.4 Business Environmental Tools Analysis: Ai-Enabled Testing Market
- 3.4.1 Porter's Five Forces Analysis
- 3.4.1.1 Bargaining Power Of Suppliers
- 3.4.1.2 Bargaining Power Of Buyers
- 3.4.1.3 Threat Of Substitution
- 3.4.1.4 Threat Of New Entrants
- 3.4.1.5 Competitive Rivalry
- 3.4.2 Pestle Analysis
- 3.4.2.1 Political Landscape
- 3.4.2.2 Economic Landscape
- 3.4.2.3 Social Landscape
- 3.4.2.4 Technology Landscape
- 3.4.2.5 Environmental Landscape
- 3.4.2.6 Legal Landscape
- 3.5 Economic Mega Trend Analysis
Chapter 4 Ai-Enabled Testing Market: Component Outlook
- 4.1 Component Movement Analysis & Market Share, 2022 & 2030
- 4.2 Software
- 4.2.1 Software Ai-Enabled Testing Market Size Estimates And Forecasts, 2017 - 2030 (USD Million)
- 4.3 Services
- 4.3.1 Services Ai-Enabled Testing Market Size Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 5 Ai-Enabled Testing Market: Deployment Outlook
- 5.1 Deployment Movement Analysis & Market Share, 2022 & 2030
- 5.2 Cloud
- 5.2.1 Cloud Ai-Enabled Testing Market Size Estimates And Forecasts, 2017 - 2030 (USD Million)
- 5.3 On-Premises
- 5.3.1 On-Premisesai-Enabled Testing Market Size Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 6 Ai-Enabled Testing Market: Technology Outlook
- 6.1 Technology Movement Analysis & Market Share, 2022 & 2030
- 6.2 Machine Learning And Pattern Recognition
- 6.2.1 Machine Learning And Pattern Recognition Ai-Enabled Testing Market Size Estimates And Forecasts, 2017 - 2030 (USD Million)
- 6.3 Natural Language Processing (Nlp)
- 6.3.1 Nlp Ai-Enabled Testing Market Size Estimates And Forecasts, 2017 - 2030 (USD Million)
- 6.4 Computer Vision And Image Processing
- 6.4.1 Computer Vision And Image Processing Ai-Enabled Testing Market Size Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 7 Ai-Enabled Testing Market: Application Outlook
- 7.1 Application Movement Analysis & Market Share, 2022 & 2030
- 7.2 Test Automation
- 7.2.1 Test Automation Ai-Enabled Testing Market Size Estimates And Forecasts, 2017 - 2030 (USD Million)
- 7.3 Infrastructure Optimization
- 7.3.1 Infrastructure Optimization Ai-Enabled Testing Market Size Estimates And Forecasts, 2017 - 2030 (USD Million)
- 7.4 Others
- 7.4.1 Others Ai-Enabled Testing Market Size Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 8 Ai-Enabled Testing Market: End-Use Industry Outlook
- 8.1 End-Use Industry Movement Analysis & Market Share, 2022 & 2030
- 8.2 Healthcare
- 8.2.1 Healthcare Ai-Enabled Testing Market Size Estimates And Forecastes, 2017 - 2030 (USD Million)
- 8.3 It& Telecommunication
- 8.3.1 It & Telecommunication Ai-Enabled Testing Market Size Estimates And Forecasts, 2017 - 2030 (USD Million)
- 8.4 Energy & Utilities
- 8.4.1 Energy & Utilities Ai-Enabled Testing Market Size Estimates And Forecasts, 2017 - 2030 (USD Million)
- 8.5 Bfsi
- 8.5.1 Bfsi Ai-Enabled Testing Market Size Estimates And Forecasts, 2017 - 2030 (USD Million)
- 8.6 Government
- 8.6.1 Government Ai-Enabled Testing Market Size Estimates And Forecasts, 2017 - 2030 (USD Million)
- 8.7 Others
- 8.7.1 Others Ai-Enabled Testing Market Size Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 9 Regional Estimates And Trend Analysis
- 9.1 Ai-Enabled Testing Market: Regional Movement Analysis, 2022 & 2030
- 9.2 North America
- 9.2.1. Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.2.2. U.S.
- 9.2.2.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.2.3. Canada
- 9.2.3.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.3 Europe
- 9.3.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.3.2 Germany
- 9.3.2.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.3.3 Uk
- 9.3.3.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.3.4 France
- 9.3.4.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.4 Asia Pacific
- 9.4.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.4.2 China
- 9.4.2.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.4.3 Japan
- 9.4.3.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.4.4 India
- 9.4.4.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.4.5 South Korea
- 9.4.5.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.4.6 Australia
- 9.4.6.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.5 Latin America
- 9.5.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.5.2 Brazil
- 9.5.2.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.5.3 Mexico
- 9.5.3.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.6 Mea
- 9.6.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.6.2 Kingdom Of Saudi Arabia
- 9.6.2.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.6.3 Uae
- 9.6.3.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
- 9.6.4 South Africa
- 9.6.4.1 Market Estimates And Forecasts, 2017 - 2030 (USD Million)
Chapter 10 Ai-Enabled Testing Market - Competitive Landscape
- 10.1 Recent Developments & Impact Analysis, By Key Market Participants
- 10.2 Company Categorization
- 10.3 Participant's Overview
- 10.4 Financial Performance
- 10.5 Product Benchmarking
- 10.6 Company Heat Map Analysis
- 10.7 Strategy Mapping
- 10.7.1 Expansion
- 10.7.2 Mergers & Acquisition
- 10.7.3 Collaborations
- 10.7.4 New Product Launches
- 10.7.5 Research & Development
- 10.8 Company Profiles/Listing
- 10.8.1. Sauce Labs Inc.
- 10.8.2. Retest Gmbh
- 10.8.3. D2l Corporation
- 10.8.4. Functionize Inc.
- 10.8.5. Diffblue Ltd.
- 10.8.6. Applitools
- 10.8.7. Capgemini Se
- 10.8.8. Testrigor
- 10.8.9. Micro Focus International Plc