The global codeless testing market is estimated to be valued at USD 2 billion in 2023. The market is projected to reach USD 8.6 billion by 2033, exhibiting a CAGR of 15.6% from 2023 to 2033.
The introduction of Machine Learning (ML), Machine Learning as a Service (MLaaS), and Artificial Intelligence (AI) has significantly accelerated the transition to codeless testing. Artificial intelligence (AI) is being used in all aspects of testing, including codeless automation testing, performance evaluation, regression assessment, and functional testing.
AI and ML have grown in popularity in recent years due to their ability to shorten the test lifecycle. These advanced technologies aid in increasing the ROI of software testing companies.
Attributes | Details |
---|---|
Codeless Testing Market Value (2022) | USD 1.7 billion |
Codeless Testing Market Value (2023) | USD 2 billion |
Codeless Testing Market Expected Value (2033) | USD 8.6 billion |
Codeless Testing Market Projected CAGR (2023 to 2033) | 15.6% |
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FMI has projected the global codeless testing market to witness a growth in revenue from USD 2 billion in 2023 to USD 8.6 billion by 2033. Most software testing firms have progressed from manual testing to mostly computerized testing methods.
Using advanced and automated programming software, testers are able to execute test cases without any coding knowledge, rather than spending a lot of time writing code. Furthermore, codeless/scriptless testing tools enable testers with little experience with test automation to automate quickly through reusable tests.
The ease of evaluating code by non-technical teammates, as well as a decrease in time that testers devote to recurring test instances, are driving the swift development of codeless testing tools, which is projected to drive the popularity of codeless testing in the coming years.
The codeless testing market was estimated to grow at a CAGR of 13.5% over the historical period (2018 to 2022).
Codeless testing solutions are highlighted by technologies such as DevOps, the Internet of Things (IoT), and artificial intelligence (AI). Rising investments in artificial intelligence technology are expected to provide growth opportunities for codeless testing because it can generate test cases based on real user data and gain insight into different user flows.
As AI automates test scenarios based on authentic user data, it helps test engineers save time when creating new test data, which is a major reason why companies prefer codeless testing solutions.
The replacement of static locators with dynamic locators is expected to make testing software more stable, resulting in faster test execution and authoring. In October 2019, IBM Corporation announced the release of its Auto AI.
It is a new set of capabilities for the company's flagship product, "Watson Studio." These new capabilities are intended to automate a number of the monotonous and complex tasks associated with optimizing, designing, and governing AI in the organization.
Several firms recently conducted worldwide research on test automation to determine where organizations were having the most difficulty. For instance, Applause stated that a survey was conducted in February 2021 with over 2,000 digital item owners, software engineers, QA, and DevOps professionals participating.
The primary finding was that substantial obstacles from conventional test automation still exist nowadays, both for firms that have spent a significant amount of resources and time in robotics and for the ones that are further behind in their computerization maturity and tactics. 41% cite a lack of proficient and/or experienced automation for testing resources as their most significant challenge.
Many skilled professionals believe that because testing cannot be customized through coding, it is less flexible. Because codeless platforms are typically aimed at small uses of web-based apps, and web pages it is not appropriate for large-scale projects or mission-critical business applications. As a result, all of these variables are anticipated to create challenges in the industry during the forecast time frame.
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According to the report, the United States was predicted to account for a market share of 18.6% in 2022. During the forecast period, the United States is expected to remain one of the most appealing markets. This is owing to significant developments in the codeless testing market in the United States.
Tricentis, which has an important foothold in the United States, acquired TestProject, a community-powered automation evaluation platform created for agile teams, in August 2019. Tricentis intends to expand the community, assist software testers in enabling the best Android and iOS test automation practices, and devote funds to its research and development (R&D) efforts to build advanced products to supplement the demand for codeless testing as a component of its commitment to TestProject.
The codeless testing market in the United Kingdom is anticipated to expand at a CAGR of 15.8% over the forecast period. The software testing services industry is expected to grow rapidly over the next decade.
Increased software investment among United Kingdom businesses, as well as the industry's ongoing expansion of service offerings, are expected to fuel demand for codeless testing tools. Additionally, IT adoption is anticipated to continue, albeit at a much slower rate, likely encouraging investment in information technology infrastructure and generating additional industry demand.
According to the report, the United Kingdom is recognized as a primary market, with significant demand for codeless testing expected to continue throughout the projected time frame.
The codeless testing market in China is anticipated to expand at a CAGR of 16.1% over the forecast period. In China, governments are launching initiatives to accelerate the adoption of new technologies like computational intelligence and deep learning, robotics, the Internet of Things, mobile devices and web-based apps, cloud-based services, and other breakthroughs.
By 2033, China will account for more than 45% of East Asian sales of codeless testing solutions. China is the world's fastest-growing economy, and it is expected to provide a lucrative market for codeless testing vendors.
The country is experiencing rapid growth in digitization and increased connectivity. The country also has several developed SMEs that are expanding at an exponential rate to serve their large customer base, creating a favorable environment for long-term growth.
The codeless testing tools segment was estimated to account for an impressive market share of 20.4% in 2022. One of the major drivers for codeless testing solutions is the increasing adoption of cloud-based automation and testing.
Cloud-based tools for automation are cost-effective, flexible, and modular, which is why they are popular among SMEs and start-ups. Aside from that, the incorporation of machine learning and artificial intelligence in codeless testing tools is making them easier to use, which is expected to aid market growth between 2023 and 2033.
When it comes to agile advancement, software testers favor codeless automatic testing as an essential element. During the period of forecasting, these elements are expected to open up new growth opportunities for codeless testing tools.
In terms of worldwide demand for codeless testing, the IT and telecom sectors are expected to contribute more than 25% in 2022. With codeless testing, IT and telecom organizations can gain rapid feedback on the mainframe and supercharge invention without the threat of bottlenecks disrupting operations, hindering customer experiences, or affecting revenues.
Enterprises may enhance mainframe quality, speed, and effectiveness while alleviating the shortage of skilled developers, thereby drastically contributing to the development of codeless testing solutions.
To achieve a competitive edge, market participants are concentrating on innovation and strategic collaborations. For instance,
Report Attribute | Details |
---|---|
Growth Rate | CAGR of 15.6% from 2023 to 2033 |
Market Value in 2023 | USD 2 billion |
Market Value in 2033 | USD 8.6 billion |
Base Year for Estimation | 2022 |
Historical Data | 2018 to 2022 |
Forecast Period | 2023 to 2033 |
Quantitative Units | Revenue in USD Billion and CAGR from 2023 to 2033 |
Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis |
Regions Covered | North America; Latin America; Europe; East Asia; South Asia; Oceania; Middle East & Africa |
Key Countries Covered |
Unites States, Canada, Brazil, Mexico, Germany, United Kingdom, France, Spain, Italy, India, Malaysia, Singapore, Thailand, China, Japan, South Korea, Australia, New Zealand, GCC Countries, South Africa, Israel |
Key Segments Covered |
Solution, Application, Enterprise Size, Industry, Region |
Key Companies Profiled |
Ranorex GmbH; Katalon, Inc.; Mabl Inc.; Usetrace; Perforce Software, Inc.; Cygnet-Infotech; Worksoft, Inc.; Testim; froglogic GmbH; Statnetics LLC; ACCELQ Inc.; QMetry Inc.; Micro Focus; Tricentis; Eggplant |
Customization & Pricing | Available upon Request |
The market is forecast to register a CAGR of 15.6% through 2033.
The market is valued to hit USD 8.6 billion by 2033.
The global market advanced at a 13.5% CAGR from 2018 to 2022.
The market is estimated to secure a valuation of USD 2 billion in 2023.
The codeless testing tools sector is projected to garner a market share of 20.4%.
The United States is projected to encompass 18.6% of the market.
The China market is poised to expand at a CAGR of 16.1%.
1. Executive Summary 2. Market Overview 3. Market Background 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Solution 5.1. Tools 5.2. Services 5.2.1. Testing & QA Services 5.2.2. Consulting Services 5.2.3. Integration & Implementation 5.2.4. Support & Maintenance 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application 6.1. API Testing 6.2. Mobile App 6.3. Desktop App 6.4. Web App 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Size 7.1. Small and Medium Enterprises (SMEs) 7.2. Large Enterprises 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry 8.1. IT & Telecom 8.2. BFSI 8.3. Retail 8.4. Healthcare 8.5. Government 8.6. Education 8.7. Manufacturing 8.8. Travel & Hospitality 8.9. Media & Entertainment 8.10. Others 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 9.1. North America 9.2. Latin America 9.3. Europe 9.4. South Asia 9.5. East Asia 9.6. Oceania 9.7. MEA 10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 16. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 17. Key Countries Market Analysis 18. Market Structure Analysis 19. Competition Analysis 19.1. Ranorex GmbH 19.2. Katalon, Inc. 19.3. Mabl Inc. 19.4. Usetrace 19.5. Perforce Software, Inc. 19.6. Cygnet-Infotech 19.7. Worksoft, Inc. 19.8. Testim 19.9. froglogic GmbH 19.10. Statnetics LLC 19.11. ACCELQ Inc. 19.12. QMetry Inc. 19.13. Micro Focus 19.14. Tricentis 19.15. Eggplant 20. Assumptions & Acronyms Used 21. Research Methodology
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