Global AI-Powered Software Testing Solutions Market Research Report 2025

Publication ID:

PB502256170

Publication Date:

February 17, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for AI-Powered Software Testing Solutions was valued at US$ 4500 million in the year 2024 and is projected to reach a revised size of US$ 10340 million by 2031, growing at a CAGR of 12.5% during the forecast period.
AI-powered software testing solutions leverage artificial intelligence technologies, particularly machine learning, natural language processing, and computer vision, to enhance the efficiency and accuracy of software testing. These solutions automate many of the testing tasks, reducing the need for manual intervention. They can execute large volumes of tests quickly, helping development teams identify and fix software defects faster, thereby improving the overall quality of software products.
AI-driven software testing covers several areas of application. Firstly, automation testing uses AI algorithms to intelligently identify and execute test cases, significantly improving testing speed and coverage compared to traditional manual testing. Secondly, AI excels in defect prediction and localization, using machine learning models to analyze historical defect data and predict potential problem areas. This enables the optimization of test cases and helps testers focus on critical areas. Additionally, AI technologies can intelligently generate test cases during the testing process and automate regression testing, ensuring that new software versions do not break existing functionalities.
AI can also enhance the intelligence of the testing process. Through natural language processing, AI can understand development documentation and user requirements, which allows it to generate test plans and cases, reducing the need for manual input. Using computer vision, AI can automatically detect issues in graphical interfaces and even apply image or video testing, improving the ability to perform UI automation testing. Based on these technologies, AI-powered software testing solutions offer enterprises faster, smarter, and more efficient quality assurance for their software.
North American market for AI-Powered Software Testing Solutions is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for AI-Powered Software Testing Solutions is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for AI-Powered Software Testing Solutions in Mobile Applications is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of AI-Powered Software Testing Solutions include Tencent Cloud, Baidu AI Cloud, Alibaba Cloud, Microsoft Azure, Cisco Systems, Google Cloud, Test.ai, Tricentis, Applitools, SmartBear, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI-Powered Software Testing Solutions, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI-Powered Software Testing Solutions.
The AI-Powered Software Testing Solutions market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global AI-Powered Software Testing Solutions market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI-Powered Software Testing Solutions companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Tencent Cloud
Baidu AI Cloud
Alibaba Cloud
Microsoft Azure
Cisco Systems
Google Cloud
Test.ai
Tricentis
Applitools
SmartBear
Mabl
TestComplete
Functionize
Rainforest QA
Selenium
Segment by Type
Test Case Creation Tools
Test Case Optimization Tools
Test Planning Tools
Others
Segment by Application
Mobile Applications
PC Software
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI-Powered Software Testing Solutions company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI-Powered Software Testing Solutions Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Test Case Creation Tools
1.2.3 Test Case Optimization Tools
1.2.4 Test Planning Tools
1.2.5 Others
1.3 Market by Application
1.3.1 Global AI-Powered Software Testing Solutions Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Mobile Applications
1.3.3 PC Software
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI-Powered Software Testing Solutions Market Perspective (2020-2031)
2.2 Global AI-Powered Software Testing Solutions Growth Trends by Region
2.2.1 Global AI-Powered Software Testing Solutions Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 AI-Powered Software Testing Solutions Historic Market Size by Region (2020-2025)
2.2.3 AI-Powered Software Testing Solutions Forecasted Market Size by Region (2026-2031)
2.3 AI-Powered Software Testing Solutions Market Dynamics
2.3.1 AI-Powered Software Testing Solutions Industry Trends
2.3.2 AI-Powered Software Testing Solutions Market Drivers
2.3.3 AI-Powered Software Testing Solutions Market Challenges
2.3.4 AI-Powered Software Testing Solutions Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI-Powered Software Testing Solutions Players by Revenue
3.1.1 Global Top AI-Powered Software Testing Solutions Players by Revenue (2020-2025)
3.1.2 Global AI-Powered Software Testing Solutions Revenue Market Share by Players (2020-2025)
3.2 Global Top AI-Powered Software Testing Solutions Players by Company Type and Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI-Powered Software Testing Solutions Revenue
3.4 Global AI-Powered Software Testing Solutions Market Concentration Ratio
3.4.1 Global AI-Powered Software Testing Solutions Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI-Powered Software Testing Solutions Revenue in 2024
3.5 Global Key Players of AI-Powered Software Testing Solutions Head office and Area Served
3.6 Global Key Players of AI-Powered Software Testing Solutions, Product and Application
3.7 Global Key Players of AI-Powered Software Testing Solutions, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI-Powered Software Testing Solutions Breakdown Data by Type
4.1 Global AI-Powered Software Testing Solutions Historic Market Size by Type (2020-2025)
4.2 Global AI-Powered Software Testing Solutions Forecasted Market Size by Type (2026-2031)
5 AI-Powered Software Testing Solutions Breakdown Data by Application
5.1 Global AI-Powered Software Testing Solutions Historic Market Size by Application (2020-2025)
5.2 Global AI-Powered Software Testing Solutions Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America AI-Powered Software Testing Solutions Market Size (2020-2031)
6.2 North America AI-Powered Software Testing Solutions Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America AI-Powered Software Testing Solutions Market Size by Country (2020-2025)
6.4 North America AI-Powered Software Testing Solutions Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI-Powered Software Testing Solutions Market Size (2020-2031)
7.2 Europe AI-Powered Software Testing Solutions Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe AI-Powered Software Testing Solutions Market Size by Country (2020-2025)
7.4 Europe AI-Powered Software Testing Solutions Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI-Powered Software Testing Solutions Market Size (2020-2031)
8.2 Asia-Pacific AI-Powered Software Testing Solutions Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific AI-Powered Software Testing Solutions Market Size by Region (2020-2025)
8.4 Asia-Pacific AI-Powered Software Testing Solutions Market Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI-Powered Software Testing Solutions Market Size (2020-2031)
9.2 Latin America AI-Powered Software Testing Solutions Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America AI-Powered Software Testing Solutions Market Size by Country (2020-2025)
9.4 Latin America AI-Powered Software Testing Solutions Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI-Powered Software Testing Solutions Market Size (2020-2031)
10.2 Middle East & Africa AI-Powered Software Testing Solutions Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa AI-Powered Software Testing Solutions Market Size by Country (2020-2025)
10.4 Middle East & Africa AI-Powered Software Testing Solutions Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Tencent Cloud
11.1.1 Tencent Cloud Company Details
11.1.2 Tencent Cloud Business Overview
11.1.3 Tencent Cloud AI-Powered Software Testing Solutions Introduction
11.1.4 Tencent Cloud Revenue in AI-Powered Software Testing Solutions Business (2020-2025)
11.1.5 Tencent Cloud Recent Development
11.2 Baidu AI Cloud
11.2.1 Baidu AI Cloud Company Details
11.2.2 Baidu AI Cloud Business Overview
11.2.3 Baidu AI Cloud AI-Powered Software Testing Solutions Introduction
11.2.4 Baidu AI Cloud Revenue in AI-Powered Software Testing Solutions Business (2020-2025)
11.2.5 Baidu AI Cloud Recent Development
11.3 Alibaba Cloud
11.3.1 Alibaba Cloud Company Details
11.3.2 Alibaba Cloud Business Overview
11.3.3 Alibaba Cloud AI-Powered Software Testing Solutions Introduction
11.3.4 Alibaba Cloud Revenue in AI-Powered Software Testing Solutions Business (2020-2025)
11.3.5 Alibaba Cloud Recent Development
11.4 Microsoft Azure
11.4.1 Microsoft Azure Company Details
11.4.2 Microsoft Azure Business Overview
11.4.3 Microsoft Azure AI-Powered Software Testing Solutions Introduction
11.4.4 Microsoft Azure Revenue in AI-Powered Software Testing Solutions Business (2020-2025)
11.4.5 Microsoft Azure Recent Development
11.5 Cisco Systems
11.5.1 Cisco Systems Company Details
11.5.2 Cisco Systems Business Overview
11.5.3 Cisco Systems AI-Powered Software Testing Solutions Introduction
11.5.4 Cisco Systems Revenue in AI-Powered Software Testing Solutions Business (2020-2025)
11.5.5 Cisco Systems Recent Development
11.6 Google Cloud
11.6.1 Google Cloud Company Details
11.6.2 Google Cloud Business Overview
11.6.3 Google Cloud AI-Powered Software Testing Solutions Introduction
11.6.4 Google Cloud Revenue in AI-Powered Software Testing Solutions Business (2020-2025)
11.6.5 Google Cloud Recent Development
11.7 Test.ai
11.7.1 Test.ai Company Details
11.7.2 Test.ai Business Overview
11.7.3 Test.ai AI-Powered Software Testing Solutions Introduction
11.7.4 Test.ai Revenue in AI-Powered Software Testing Solutions Business (2020-2025)
11.7.5 Test.ai Recent Development
11.8 Tricentis
11.8.1 Tricentis Company Details
11.8.2 Tricentis Business Overview
11.8.3 Tricentis AI-Powered Software Testing Solutions Introduction
11.8.4 Tricentis Revenue in AI-Powered Software Testing Solutions Business (2020-2025)
11.8.5 Tricentis Recent Development
11.9 Applitools
11.9.1 Applitools Company Details
11.9.2 Applitools Business Overview
11.9.3 Applitools AI-Powered Software Testing Solutions Introduction
11.9.4 Applitools Revenue in AI-Powered Software Testing Solutions Business (2020-2025)
11.9.5 Applitools Recent Development
11.10 SmartBear
11.10.1 SmartBear Company Details
11.10.2 SmartBear Business Overview
11.10.3 SmartBear AI-Powered Software Testing Solutions Introduction
11.10.4 SmartBear Revenue in AI-Powered Software Testing Solutions Business (2020-2025)
11.10.5 SmartBear Recent Development
11.11 Mabl
11.11.1 Mabl Company Details
11.11.2 Mabl Business Overview
11.11.3 Mabl AI-Powered Software Testing Solutions Introduction
11.11.4 Mabl Revenue in AI-Powered Software Testing Solutions Business (2020-2025)
11.11.5 Mabl Recent Development
11.12 TestComplete
11.12.1 TestComplete Company Details
11.12.2 TestComplete Business Overview
11.12.3 TestComplete AI-Powered Software Testing Solutions Introduction
11.12.4 TestComplete Revenue in AI-Powered Software Testing Solutions Business (2020-2025)
11.12.5 TestComplete Recent Development
11.13 Functionize
11.13.1 Functionize Company Details
11.13.2 Functionize Business Overview
11.13.3 Functionize AI-Powered Software Testing Solutions Introduction
11.13.4 Functionize Revenue in AI-Powered Software Testing Solutions Business (2020-2025)
11.13.5 Functionize Recent Development
11.14 Rainforest QA
11.14.1 Rainforest QA Company Details
11.14.2 Rainforest QA Business Overview
11.14.3 Rainforest QA AI-Powered Software Testing Solutions Introduction
11.14.4 Rainforest QA Revenue in AI-Powered Software Testing Solutions Business (2020-2025)
11.14.5 Rainforest QA Recent Development
11.15 Selenium
11.15.1 Selenium Company Details
11.15.2 Selenium Business Overview
11.15.3 Selenium AI-Powered Software Testing Solutions Introduction
11.15.4 Selenium Revenue in AI-Powered Software Testing Solutions Business (2020-2025)
11.15.5 Selenium Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Tencent Cloud
Baidu AI Cloud
Alibaba Cloud
Microsoft Azure
Cisco Systems
Google Cloud
Test.ai
Tricentis
Applitools
SmartBear
Mabl
TestComplete
Functionize
Rainforest QA
Selenium

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.

91制片厂