AI-augmented, software-testing tools provide capabilities for advanced, self-optimizing and adaptive automated testing through the use of AI technologies, such as machine learning (ML), self-healing heuristics or computer vision. They assist humans in their testing efforts and reduce the need for human intervention in the following areas: Test case and test data generation Test suite optimization and coverage detection Test efficacy and robustness Test analysis and defect prediction Test effort estimation and decision making AI-augmented testing tools streamline, accelerate and improve the test workflow, as models can be retrained based on the data collected from the activities they perform 鈥� thereby enhancing human productivity.
The global AI-Augmented Software-Testing Tools market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
The use of AI and ML is growing, and software engineering teams are experiencing the impact of these technologies on reshaping businesses. AI-augmented testing is one of the elements of a digital immune system, and there is growing interest in tools that provide advanced, self-optimizing, adaptive, and automated testing capabilities through the use of AI technologies.
This report aims to provide a comprehensive presentation of the global market for AI-Augmented Software-Testing Tools, 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-Augmented Software-Testing Tools.
Report Scope
The AI-Augmented Software-Testing Tools market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI-Augmented Software-Testing Tools 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-Augmented Software-Testing Tools companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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
Katalon
Tricentis
LambdaTest
OpenText
SmartBear
Keysight
Parasoft
Microsoft
Perforce
Worksoft
UiPath
Progress
IBM
Digital.ai
Original Software
Sealights
Ponicode
Diffblue
Applitools
Functionize
Kobiton
Mabl
Segment by Type
Quality Analytics
Unit Test Optimization
Visual Testing
UI Functional Testing
Others
Segment by Application
SMEs
Large Enterprises
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
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-Augmented Software-Testing Tools companies鈥� 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.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI-Augmented Software-Testing Tools Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Quality Analytics
1.2.3 Unit Test Optimization
1.2.4 Visual Testing
1.2.5 UI Functional Testing
1.2.6 Others
1.3 Market by Application
1.3.1 Global AI-Augmented Software-Testing Tools Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 SMEs
1.3.3 Large Enterprises
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI-Augmented Software-Testing Tools Market Perspective (2019-2030)
2.2 AI-Augmented Software-Testing Tools Growth Trends by Region
2.2.1 Global AI-Augmented Software-Testing Tools Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI-Augmented Software-Testing Tools Historic Market Size by Region (2019-2024)
2.2.3 AI-Augmented Software-Testing Tools Forecasted Market Size by Region (2025-2030)
2.3 AI-Augmented Software-Testing Tools Market Dynamics
2.3.1 AI-Augmented Software-Testing Tools Industry Trends
2.3.2 AI-Augmented Software-Testing Tools Market Drivers
2.3.3 AI-Augmented Software-Testing Tools Market Challenges
2.3.4 AI-Augmented Software-Testing Tools Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI-Augmented Software-Testing Tools Players by Revenue
3.1.1 Global Top AI-Augmented Software-Testing Tools Players by Revenue (2019-2024)
3.1.2 Global AI-Augmented Software-Testing Tools Revenue Market Share by Players (2019-2024)
3.2 Global AI-Augmented Software-Testing Tools Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI-Augmented Software-Testing Tools Revenue
3.4 Global AI-Augmented Software-Testing Tools Market Concentration Ratio
3.4.1 Global AI-Augmented Software-Testing Tools Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI-Augmented Software-Testing Tools Revenue in 2023
3.5 AI-Augmented Software-Testing Tools Key Players Head office and Area Served
3.6 Key Players AI-Augmented Software-Testing Tools Product Solution and Service
3.7 Date of Enter into AI-Augmented Software-Testing Tools Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI-Augmented Software-Testing Tools Breakdown Data by Type
4.1 Global AI-Augmented Software-Testing Tools Historic Market Size by Type (2019-2024)
4.2 Global AI-Augmented Software-Testing Tools Forecasted Market Size by Type (2025-2030)
5 AI-Augmented Software-Testing Tools Breakdown Data by Application
5.1 Global AI-Augmented Software-Testing Tools Historic Market Size by Application (2019-2024)
5.2 Global AI-Augmented Software-Testing Tools Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI-Augmented Software-Testing Tools Market Size (2019-2030)
6.2 North America AI-Augmented Software-Testing Tools Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI-Augmented Software-Testing Tools Market Size by Country (2019-2024)
6.4 North America AI-Augmented Software-Testing Tools Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI-Augmented Software-Testing Tools Market Size (2019-2030)
7.2 Europe AI-Augmented Software-Testing Tools Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI-Augmented Software-Testing Tools Market Size by Country (2019-2024)
7.4 Europe AI-Augmented Software-Testing Tools Market Size by Country (2025-2030)
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-Augmented Software-Testing Tools Market Size (2019-2030)
8.2 Asia-Pacific AI-Augmented Software-Testing Tools Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI-Augmented Software-Testing Tools Market Size by Region (2019-2024)
8.4 Asia-Pacific AI-Augmented Software-Testing Tools Market Size by Region (2025-2030)
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-Augmented Software-Testing Tools Market Size (2019-2030)
9.2 Latin America AI-Augmented Software-Testing Tools Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI-Augmented Software-Testing Tools Market Size by Country (2019-2024)
9.4 Latin America AI-Augmented Software-Testing Tools Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI-Augmented Software-Testing Tools Market Size (2019-2030)
10.2 Middle East & Africa AI-Augmented Software-Testing Tools Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI-Augmented Software-Testing Tools Market Size by Country (2019-2024)
10.4 Middle East & Africa AI-Augmented Software-Testing Tools Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Katalon
11.1.1 Katalon Company Detail
11.1.2 Katalon Business Overview
11.1.3 Katalon AI-Augmented Software-Testing Tools Introduction
11.1.4 Katalon Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.1.5 Katalon Recent Development
11.2 Tricentis
11.2.1 Tricentis Company Detail
11.2.2 Tricentis Business Overview
11.2.3 Tricentis AI-Augmented Software-Testing Tools Introduction
11.2.4 Tricentis Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.2.5 Tricentis Recent Development
11.3 LambdaTest
11.3.1 LambdaTest Company Detail
11.3.2 LambdaTest Business Overview
11.3.3 LambdaTest AI-Augmented Software-Testing Tools Introduction
11.3.4 LambdaTest Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.3.5 LambdaTest Recent Development
11.4 OpenText
11.4.1 OpenText Company Detail
11.4.2 OpenText Business Overview
11.4.3 OpenText AI-Augmented Software-Testing Tools Introduction
11.4.4 OpenText Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.4.5 OpenText Recent Development
11.5 SmartBear
11.5.1 SmartBear Company Detail
11.5.2 SmartBear Business Overview
11.5.3 SmartBear AI-Augmented Software-Testing Tools Introduction
11.5.4 SmartBear Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.5.5 SmartBear Recent Development
11.6 Keysight
11.6.1 Keysight Company Detail
11.6.2 Keysight Business Overview
11.6.3 Keysight AI-Augmented Software-Testing Tools Introduction
11.6.4 Keysight Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.6.5 Keysight Recent Development
11.7 Parasoft
11.7.1 Parasoft Company Detail
11.7.2 Parasoft Business Overview
11.7.3 Parasoft AI-Augmented Software-Testing Tools Introduction
11.7.4 Parasoft Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.7.5 Parasoft Recent Development
11.8 Microsoft
11.8.1 Microsoft Company Detail
11.8.2 Microsoft Business Overview
11.8.3 Microsoft AI-Augmented Software-Testing Tools Introduction
11.8.4 Microsoft Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.8.5 Microsoft Recent Development
11.9 Perforce
11.9.1 Perforce Company Detail
11.9.2 Perforce Business Overview
11.9.3 Perforce AI-Augmented Software-Testing Tools Introduction
11.9.4 Perforce Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.9.5 Perforce Recent Development
11.10 Worksoft
11.10.1 Worksoft Company Detail
11.10.2 Worksoft Business Overview
11.10.3 Worksoft AI-Augmented Software-Testing Tools Introduction
11.10.4 Worksoft Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.10.5 Worksoft Recent Development
11.11 UiPath
11.11.1 UiPath Company Detail
11.11.2 UiPath Business Overview
11.11.3 UiPath AI-Augmented Software-Testing Tools Introduction
11.11.4 UiPath Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.11.5 UiPath Recent Development
11.12 Progress
11.12.1 Progress Company Detail
11.12.2 Progress Business Overview
11.12.3 Progress AI-Augmented Software-Testing Tools Introduction
11.12.4 Progress Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.12.5 Progress Recent Development
11.13 IBM
11.13.1 IBM Company Detail
11.13.2 IBM Business Overview
11.13.3 IBM AI-Augmented Software-Testing Tools Introduction
11.13.4 IBM Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.13.5 IBM Recent Development
11.14 Digital.ai
11.14.1 Digital.ai Company Detail
11.14.2 Digital.ai Business Overview
11.14.3 Digital.ai AI-Augmented Software-Testing Tools Introduction
11.14.4 Digital.ai Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.14.5 Digital.ai Recent Development
11.15 Original Software
11.15.1 Original Software Company Detail
11.15.2 Original Software Business Overview
11.15.3 Original Software AI-Augmented Software-Testing Tools Introduction
11.15.4 Original Software Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.15.5 Original Software Recent Development
11.16 Sealights
11.16.1 Sealights Company Detail
11.16.2 Sealights Business Overview
11.16.3 Sealights AI-Augmented Software-Testing Tools Introduction
11.16.4 Sealights Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.16.5 Sealights Recent Development
11.17 Ponicode
11.17.1 Ponicode Company Detail
11.17.2 Ponicode Business Overview
11.17.3 Ponicode AI-Augmented Software-Testing Tools Introduction
11.17.4 Ponicode Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.17.5 Ponicode Recent Development
11.18 Diffblue
11.18.1 Diffblue Company Detail
11.18.2 Diffblue Business Overview
11.18.3 Diffblue AI-Augmented Software-Testing Tools Introduction
11.18.4 Diffblue Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.18.5 Diffblue Recent Development
11.19 Applitools
11.19.1 Applitools Company Detail
11.19.2 Applitools Business Overview
11.19.3 Applitools AI-Augmented Software-Testing Tools Introduction
11.19.4 Applitools Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.19.5 Applitools Recent Development
11.20 Functionize
11.20.1 Functionize Company Detail
11.20.2 Functionize Business Overview
11.20.3 Functionize AI-Augmented Software-Testing Tools Introduction
11.20.4 Functionize Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.20.5 Functionize Recent Development
11.21 Kobiton
11.21.1 Kobiton Company Detail
11.21.2 Kobiton Business Overview
11.21.3 Kobiton AI-Augmented Software-Testing Tools Introduction
11.21.4 Kobiton Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.21.5 Kobiton Recent Development
11.22 Mabl
11.22.1 Mabl Company Detail
11.22.2 Mabl Business Overview
11.22.3 Mabl AI-Augmented Software-Testing Tools Introduction
11.22.4 Mabl Revenue in AI-Augmented Software-Testing Tools Business (2019-2024)
11.22.5 Mabl Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Katalon
Tricentis
LambdaTest
OpenText
SmartBear
Keysight
Parasoft
Microsoft
Perforce
Worksoft
UiPath
Progress
IBM
Digital.ai
Original Software
Sealights
Ponicode
Diffblue
Applitools
Functionize
Kobiton
Mabl
听
听
*If Applicable.
