The Europe AI-enabled Testing Market should witness market growth of 17.4% CAGR during the forecast period (2023-2030).
The future of software testing could be drastically changed by AI and tech entrepreneurs. AI-powered testing solutions can evaluate enormous volumes of data fast and accurately, improving the effectiveness and efficiency of the testing process. Businesses might also benefit from using AI-powered testing technologies to find important problems that manual testing might have missed.
Tech businesses can also use cutting-edge technologies like edge computing and blockchain to offer even more sophisticated testing solutions. Businesses will find it simpler to guarantee the efficacy of their software if they use these technologies, which can speed up, secure, and scale software testing.
The market is expected to develop due to significant releases and improvements in computer vision and image processing technology. AI-powered testing solutions are being offered by several big organizations; for instance, Google's Deep Test, which is an AI-powered testing tool utilizing machine learning (ML) to automatically develop test cases and run them on web applications. It tries to increase test coverage and lessen the time spent writing test cases. Additionally, significant advancements and improvements in testing tools with AI capabilities are promoting market expansion.
Europe has become a prime location for AI-powered testing due to the region's growing emphasis on software quality and digital transformation. The use of AI testing tools has grown in Germany, the United Kingdom, and France to improve software reliability and speed up testing procedures. Europe's strategy for AI is largely focused on four areas: facilitating its adoption and growth within the EU, transforming the continent into a location where AI thrives from the lab to the market, ensuring AI benefits people, and developing leadership in significant industries. Hence, such initiatives and use cases will propel the regional market in the coming years.
The Germany market dominated the Europe AI-enabled Testing Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $92.8 million by 2030. The UK market is exhibiting a CAGR of 16.4% during (2023-2030). Additionally, The France market would experience a CAGR of 18.3% during (2023-2030).
Based on Component, the market is segmented into Solution, and Services. Based on Technology, the market is segmented into Machine Learning & Pattern Recognition, Natural Language Processing (NLP), and Computer Vision & Image Processing. Based on Application, the market is segmented into Test Automation, Infrastructure Optimization, and Others. Based on Deployment, the market is segmented into On-premises, and Cloud. Based on End-Use, the market is segmented into IT & Telecommunication, Healthcare, Energy & Utilities, BFSI, Government, and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Sauce Labs Inc., Retest (UBS Hainer GmbH), Functionize, Inc, Diffblue Ltd., Applitools (Thoma Bravo), Capgemini SE, TestRigor, Micro Focus International PLC (Open Text Corporation), Tricentis and IBM Corporation
The future of software testing could be drastically changed by AI and tech entrepreneurs. AI-powered testing solutions can evaluate enormous volumes of data fast and accurately, improving the effectiveness and efficiency of the testing process. Businesses might also benefit from using AI-powered testing technologies to find important problems that manual testing might have missed.
Tech businesses can also use cutting-edge technologies like edge computing and blockchain to offer even more sophisticated testing solutions. Businesses will find it simpler to guarantee the efficacy of their software if they use these technologies, which can speed up, secure, and scale software testing.
The market is expected to develop due to significant releases and improvements in computer vision and image processing technology. AI-powered testing solutions are being offered by several big organizations; for instance, Google's Deep Test, which is an AI-powered testing tool utilizing machine learning (ML) to automatically develop test cases and run them on web applications. It tries to increase test coverage and lessen the time spent writing test cases. Additionally, significant advancements and improvements in testing tools with AI capabilities are promoting market expansion.
Europe has become a prime location for AI-powered testing due to the region's growing emphasis on software quality and digital transformation. The use of AI testing tools has grown in Germany, the United Kingdom, and France to improve software reliability and speed up testing procedures. Europe's strategy for AI is largely focused on four areas: facilitating its adoption and growth within the EU, transforming the continent into a location where AI thrives from the lab to the market, ensuring AI benefits people, and developing leadership in significant industries. Hence, such initiatives and use cases will propel the regional market in the coming years.
The Germany market dominated the Europe AI-enabled Testing Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $92.8 million by 2030. The UK market is exhibiting a CAGR of 16.4% during (2023-2030). Additionally, The France market would experience a CAGR of 18.3% during (2023-2030).
Based on Component, the market is segmented into Solution, and Services. Based on Technology, the market is segmented into Machine Learning & Pattern Recognition, Natural Language Processing (NLP), and Computer Vision & Image Processing. Based on Application, the market is segmented into Test Automation, Infrastructure Optimization, and Others. Based on Deployment, the market is segmented into On-premises, and Cloud. Based on End-Use, the market is segmented into IT & Telecommunication, Healthcare, Energy & Utilities, BFSI, Government, and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Sauce Labs Inc., Retest (UBS Hainer GmbH), Functionize, Inc, Diffblue Ltd., Applitools (Thoma Bravo), Capgemini SE, TestRigor, Micro Focus International PLC (Open Text Corporation), Tricentis and IBM Corporation
Scope of the Study
By Component
- Solution
- Services
By Technology
- Machine Learning & Pattern Recognition
- Natural Language Processing (NLP)
- Computer Vision & Image Processing
By Application
- Test Automation
- Infrastructure Optimization
- Others
By Deployment
- On-premises
- Cloud
By End-user
- IT & Telecommunication
- Healthcare
- Energy & Utilities
- BFSI
- Government
- Others
By Country
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Key Market Players
List of Companies Profiled in the Report:
- Sauce Labs Inc.
- Retest (UBS Hainer GmbH)
- Functionize, Inc
- Diffblue Ltd.
- Applitools (Thoma Bravo)
- Capgemini SE
- TestRigor
- Micro Focus International PLC (Open Text Corporation)
- Tricentis
- IBM Corporation
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market At a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. Europe AI-enabled Testing Market by Component
Chapter 6. Europe AI-enabled Testing Market by Technology
Chapter 7. Europe AI-enabled Testing Market by Application
Chapter 8. Europe AI-enabled Testing Market by Deployment
Chapter 9. Europe AI-enabled Testing Market by End-Use
Chapter 10. Europe AI-enabled Testing Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- Sauce Labs Inc.
- Retest (UBS Hainer GmbH)
- Functionize, Inc
- Diffblue Ltd.
- Applitools (Thoma Bravo)
- Capgemini SE
- TestRigor
- Micro Focus International PLC (Open Text Corporation)
- Tricentis
- IBM Corporation
Methodology
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