AI-enabled Testing Market to Grow with a CAGR of 17% Globally through to 2028
Global AI-enabled testing market is rising due to the
increasing complexity of software applications and the need for efficient and
accurate testing solutions in the forecast period 2024-2028.
According to TechSci Research report, “Global AI-enabled
Testing Market - Industry Size, Share, Trends, Competition Forecast &
Opportunities, 2028”, The global AI-enabled testing market is currently
experiencing robust growth, underpinned by a convergence of factors reshaping
the software testing landscape. As software applications become increasingly
complex and intricate, traditional testing methods struggle to keep pace. This
challenge has paved the way for AI-enabled testing solutions to emerge as a
critical component of the software development lifecycle. AI leverages machine
learning algorithms and automation to enhance testing processes, resulting in
greater efficiency, accuracy, and speed. These solutions excel at identifying
defects, predicting potential issues, and optimizing test coverage, all while
reducing manual intervention. This transformative shift has proven particularly
beneficial for businesses striving to meet the demands of agile development and
continuous integration/continuous deployment (CI/CD) pipelines, ensuring that
software is not only delivered faster but with higher quality and reliability.
Furthermore, the rising adoption of AI-enabled testing
can be attributed to the growing diversity of platforms, devices, and operating
systems in the digital landscape. The need to ensure seamless functionality
across a multitude of configurations necessitates more comprehensive and
adaptive testing methodologies. AI's ability to simulate real-world scenarios,
automate test case generation, and analyze vast datasets empowers organizations
to achieve this level of thoroughness. Additionally, AI-driven testing
contributes to cost savings by reducing testing cycles, minimizing the risk of
software failures, and improving overall product quality. As businesses across
industries recognize the advantages of AI-enabled testing in delivering
superior customer experiences and maintaining competitive edge, the global
market for these solutions is poised for continued expansion and innovation.
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The global AI-enabled testing market has witnessed
significant growth and is poised to expand further in the coming years.
AI-enabled testing refers to the use of artificial intelligence (AI)
technologies and techniques to enhance the testing process and improve the
quality of software applications. This market has gained traction due to the
increasing adoption of AI and machine learning (ML) technologies across various
industries. One of the key drivers of the AI-enabled testing market is the
growing complexity of software applications. With the rapid advancements in
technology, software applications have become more intricate and sophisticated.
Traditional testing methods are often unable to keep up with the complexity and
scale of modern applications. AI-enabled testing offers a solution by
leveraging AI algorithms and ML models to automate testing processes, identify
defects, and optimize test coverage. This not only improves the efficiency of
testing but also enhances the overall quality of software applications. Another
factor contributing to the growth of the AI-enabled testing market is the
rising demand for faster time-to-market. In today's competitive business
landscape, organizations are under constant pressure to deliver software
applications quickly without compromising on quality. AI-enabled testing
enables faster and more efficient testing cycles by automating repetitive
tasks, reducing manual effort, and accelerating the identification of defects.
This helps organizations streamline their software development processes and
bring products to market faster, gaining a competitive edge.
Furthermore, the increasing adoption of AI and ML
technologies across industries is driving the demand for AI-enabled testing
solutions. AI and ML are being utilized in various domains, such as healthcare,
finance, retail, and manufacturing, to improve operational efficiency, enhance
customer experience, and drive innovation. As organizations embrace AI and ML,
the need for robust testing solutions that can validate the performance and
reliability of AI-powered applications becomes crucial. AI-enabled testing
tools and platforms offer advanced capabilities, such as intelligent test case
generation, anomaly detection, and predictive analytics, to ensure the accuracy
and effectiveness of AI-based systems. Moreover, the COVID-19 pandemic has
further accelerated the adoption of AI-enabled testing. With remote work
becoming the new norm, organizations have had to rely heavily on digital
technologies to maintain business continuity. This has led to an increased
reliance on software applications, making software testing even more critical.
AI-enabled testing solutions have proven to be invaluable during this time,
enabling organizations to automate testing processes, detect defects remotely,
and ensure the stability and performance of their applications.
In conclusion, the global AI-enabled testing market is
witnessing significant growth due to the increasing complexity of software
applications, the demand for faster time-to-market, the adoption of AI and ML
technologies, and the impact of the COVID-19 pandemic. As organizations strive
to deliver high-quality software applications in a timely manner, AI-enabled
testing solutions offer a compelling proposition. With their ability to
automate testing processes, improve test coverage, and enhance the overall
quality of software applications, AI-enabled testing solutions are poised to
play a crucial role in the future of software development and testing.
The Global AI-enabled Testing Market is segmented into
Component, Deployment, End-use Industry, Application, Technology, regional
distribution, and company.
Based on its Component, the software segment held the
highest revenue share of over 77% in 2022. SMEsfrequently employ AI testing
services to evaluate the effectiveness of software programs. For SMEs, AI
testing services offer many advantages, including lower costs, more efficiency,
and improved user experience. Moreover, organizations streamline preparing,
managing, and analyzing test data by leveraging data-wrangling software in
AI-enabled testing. This integration enhances testing accuracy, efficiency, and
effectiveness by ensuring that the correct data is available in a suitable
format, enabling comprehensive test coverage and reliable results.The service
segment is estimated to grow at the highest CAGR over the forecast period.
The significant advancement of managed and
professional services accounts for this growth. AI-enabled testing tools often
requires significant computational resources and infrastructure to support
complex algorithms and large-scale testing. Managed services providers like QA
Mentor, Testlio, Capgemini, and others offer the necessary infrastructure, such
as cloud-based platforms or dedicated environments, to support AI testing
initiatives. They also scale resources based on demand, ensuring optimal
performance, quality monitoring, and cost-efficiency; for instance, Capgemini’s
embedded quality engineering in “ADMnext,” a whole stack of Application
Development and Maintenance (ADM) services, have the capabilities and solutions
to address a wide array of challenges and help the user make better business
decisions ensuring better performance.
Based on region, North America dominated the market in
2022, accounting for over 39% share of the global revenue. Prominent growth of
automation testing is fueling the market growth in this region. AI regression
testing is increasingly being used in mobile applications, influencing
AI-enabled testing in North America as they improve the product's
functionality. Moreover, the United States is expected to advance significantly
over the forecast period due to technology providers' presence. Increasing
urbanization, changing lifestyles, rising disposable income, and advanced
technologies fuel the market growth in this region.
Increasing investment in R&D activities,
increasing preference for automated testing solutions, and launching new
products are also driving the market growth in the U.S. Asia Pacific is
anticipated to witness significant CAGR growth over the forecast period. India,
China, Japan, and other countries of Asia Pacific are innovating and launching
new products and platforms to fuel market growth. Major innovations of 5G in
Japan are propelling market growth in this region. The usage of AI-enabled
testing technologies in Japan may increase because of a potential spike in
demand for automated and efficient telecom infrastructure testing and
maintenance. Moreover, In June 2022, Singapore introduced the first AI governance
testing framework and toolbox to assist AI developers in objectively and
independently evaluating their systems.
Major companies operating in Global AI-enabled
Testing Market are:
- Sauce Labs Inc.
- ReTest GmbH
- D2L Corp.
- Functionize Inc.
- Diffblue Ltd.
- Applitools
- Capgemini SE
- testRigor
- Micro Focus International Plc
- Tricentis
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“The global AI-enabled testing market is experiencing
substantial growth and is expected to continue expanding in the coming years.
AI-enabled testing refers to the use of artificial intelligence (AI)
technologies to enhance the testing process and improve software application
quality. This market is driven by the increasing complexity of software
applications, which traditional testing methods struggle to handle. AI-enabled
testing leverages AI algorithms and machine learning (ML) models to automate
testing, identify defects, and optimize test coverage, resulting in more
efficient testing and higher software quality. Additionally, the demand for
faster time-to-market is fueling market growth, as organizations seek to
deliver software applications quickly without compromising quality. AI-enabled
testing enables faster and more efficient testing cycles by automating tasks,
reducing manual effort, and accelerating defect identification. The adoption of
AI and ML technologies across industries is also contributing to market growth,
as organizations require robust testing solutions to validate the performance
and reliability of AI-powered applications. Furthermore, the COVID-19 pandemic
has further accelerated the adoption of AI-enabled testing, as organizations rely
heavily on digital technologies and software applications for business
continuity. Overall, AI-enabled testing solutions offer advanced capabilities
that are crucial for ensuring the accuracy, stability, and performance of
software applications in today's competitive landscape.,” said Mr. Karan
Chechi, Research Director with TechSci Research, a research-based management
consulting firm.
“AI-enabled
Testing Market – Global Industry Size, Share, Trends, Opportunity, and
Forecast, Segmented By Component (Solution, Services), By Deployment (Cloud,
On-premise), By End-use Industry (Government, BFSI, IT & Telecommunication,
Energy & Utility, Others), By Application (Test Automation, Infrastructure
Optimization, Others), By Technology (Machine Learning and Pattern Recognition,
Natural Language Processing (NLP), Computer Vision and Image Processing), By
Region, By Competition”, has evaluated the future growth potential
of Global AI-enabled Testing Market and provides statistics & information
on market size, structure and future market growth. The report intends to
provide cutting-edge market intelligence and help decision makers take sound
investment decisions. Besides, the report also identifies and analyzes the
emerging trends along with essential drivers, challenges, and opportunities in
Global AI-enabled Testing Market.
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