Press release
Artificial Intelligence (AI) Enabled Testing Market Set to Reach $1.9 Billion by 2029 with 22% Yearly Growth
Artificial Intelligence AI Enabled Testing Market
The increasing adoption of cloud computing is projected to drive the growth of the AI-enabled testing market. Cloud computing provides a range of services, such as servers, storage, databases, networking, software, and analytics, over the internet, facilitating rapid innovation, adjustable resources, and scale economies. The popularity of cloud computing owes to its scalability, affordability, and accessibility features, empowering businesses to optimize operations, improve flexibility, and utilize cutting-edge technologies without significant infrastructural investments. AI-backed testing interprets testing data to yield valuable insights that assist stakeholders in making knowledgeable decisions related to the software's quality and deployment readiness. As per Eurostat, a European Union organization based in Luxembourg, functioning as its statistical office, in 2022, there was an increase in the uptake of cloud computing services by mid-sized companies, rising to 59% from 53% in the previous year, in December 2023. Hence, the expanding prominence of cloud computing propels the AI-enabled testing market's growth.
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What growth opportunities are expected to drive the artificial intelligence (ai) enabled testing market's CAGR through 2034?
The market size of testing enabled by artificial intelligence (AI) has seen remarkable growth in the past few years. The market is projected to expand from $0.7 billion in 2024 to $0.86 billion in 2025, reflecting a compound annual growth rate (CAGR) of 22.3%. Factors such as the necessity for rapid software development, complexity in software systems, implementation of agile and DevOps methods, the requirement for improved test coverage and precision, as well as the push to cut down on testing expenses have contributed to growth during the historical period.
In the forthcoming years, the market size of AI-powered testing is predicted to witness substantial growth, escalating to $1.9 billion by 2029 with a CAGR of 22.0%. This growth during the estimated period can be credited to breakthroughs in AI-powered platforms for test analytics, the amalgamation of AI with tools for test management, extending AI features in continuing testing sequences, the increasing demand for AI-centered security testing solutions and the widespread use of AI-based testing in IoT and embedded systems. Dominant trends in the projected period include the embracing of AI-facilitated test generation and execution, the emergence of autonomous testing agents based on AI, the development of predictive testing models equipped with AI, the marriage of AI with blockchain testing frameworks, and the broadening of AI-stimulated testing to environments focused on edge computing.
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How are the latest trends influencing the growth of the artificial intelligence (ai) enabled testing market?
Prominent firms in the artificial intelligence (AI)-aided testing industry are innovating sophisticated testing solutions, such as application security testing software, to enhance their competitiveness. These solutions enable businesses to proactively detect and address security vulnerabilities in their software, effectively reducing the likelihood of security breaches and protecting confidential data from unauthorized access or misuse. For instance, in April 2024, Invicti, an American web application security firm, introduced an AI-enabled Predictive Risk Scoring feature. This function attributes predicted risk levels to applications, offering organizations a strategic understanding of security risk. This innovative feature reconfigures the application security testing sequence to profile and compute a risk score for every identified web application before the scanning process begins, without needing scanning resources or client data to evaluate the risk score.
Which growth-oriented segments of the artificial intelligence (ai) enabled testing market are leading the industry's development?
The artificial intelligence (AI) enabled testing market covered in this report is segmented -
1) By Component: Software, Service
2) By Deployment: On-Premises, Cloud
3) By Technology: Machine Learning And Pattern Recognition, Natural Language Processing (NLP), Computer Vision And Image Processing
4) By Application: Test Automation, Infrastructure Optimization, Other Applications
5) By End User Industry: Healthcare, Information Technology And Telecommunication, Energy And Utilities, Banking, Financial Services, And Insurance (BFSI), Government, Other End User Industries
Subsegments:
1) By Software: AI-Powered Testing Tools, Automated Testing Solutions, Performance Testing Software, Functional Testing Software
2) By Service: AI Testing As A Service (TaaS), Consulting Services, Managed Services, Support And Maintenance Services
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What regions are leading the charge in the artificial intelligence (ai) enabled testing market?
North America was the largest region in the artificial intelligence (AI)-enabled testing in 2024. Asia Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) enabled testing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What companies are at the forefront of innovation in the artificial intelligence (ai) enabled testing market?
Major companies operating in the artificial intelligence (AI) enabled testing market report are Amazon.com Inc.; Google LLC; Microsoft Corporation; Dell Technologies Inc.; Siemens AG; International Business Machines Corporation (IBM); Cisco Systems Inc.; Oracle Corporation; Broadcom Inc.; SAP SE; Hewlett Packard Enterprise Company; Salesforce.com Inc.; Adobe Inc.; VMware Inc.; ServiceNow Inc.; Autodesk Inc.; Red Hat Inc.; Twilio Inc.; Citrix Systems Inc.; Atlassian Corporation Plc; RingCentral Inc.; GitHub Inc.; Slack Technologies Inc.; Sonatype Inc.; CA Technologies Inc.
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What Is Covered In The Artificial Intelligence (AI) Enabled Testing Global Market Report?
• Market Size Forecast: Examine the artificial intelligence (ai) enabled testing market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) enabled testing market for a structured understanding.
• Key Players Overview: Analyze major players in the artificial intelligence (ai) enabled testing market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) enabled testing market.
• Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) enabled testing market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) enabled testing market.
• Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) enabled testing market.
• Competitive Landscape: Review strategic developments in the artificial intelligence (ai) enabled testing market, including expansions, agreements, and new product launches.
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