The global codeless testing market is estimated to be valued at US$ 2 billion in 2023. The market is projected to reach US$ 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) | US$ 1.7 billion |
| Codeless Testing Market Value (2023) | US$ 2 billion |
| Codeless Testing Market Expected Value (2033) | US$ 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 US$ 2 billion in 2023 to US$ 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.
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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 | US$ 2 billion |
| Market Value in 2033 | US$ 8.6 billion |
| Base Year for Estimation | 2022 |
| Historical Data | 2018 to 2022 |
| Forecast Period | 2023 to 2033 |
| Quantitative Units | Revenue in US$ Billion and CAGR from 2023 to 2033 |
| Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis |
| Regions Covered |
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| Key Countries Covered |
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| Key Segments Covered |
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| Key Companies Profiled |
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| Customization & Pricing | Available upon Request |
The market is forecast to register a CAGR of 15.6% through 2033.
The market is valued to hit US$ 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 US$ 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 | Codeless Testing Market 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Solution 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Solution, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Solution, 2023 to 2033 5.3.1. Tools 5.3.2. Services 5.3.2.1. Testing & QA Services 5.3.2.2. Consulting Services 5.3.2.3. Integration & Implementation 5.3.2.4. Support & Maintenance 5.4. Y-o-Y Growth Trend Analysis By Solution, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Solution, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033 6.3.1. API Testing 6.3.2. Mobile App 6.3.3. Desktop App 6.3.4. Web App 6.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Size 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Enterprise Size , 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Enterprise Size , 2023 to 2033 7.3.1. Small and Medium Enterprises (SMEs) 7.3.2. Large Enterprises 7.4. Y-o-Y Growth Trend Analysis By Enterprise Size , 2018 to 2022 7.5. Absolute $ Opportunity Analysis By Enterprise Size , 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Million) Analysis By Industry, 2018 to 2022 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry, 2023 to 2033 8.3.1. IT & Telecom 8.3.2. BFSI 8.3.3. Retail 8.3.4. Healthcare 8.3.5. Government 8.3.6. Education 8.3.7. Manufacturing 8.3.8. Travel & Hospitality 8.3.9. Media & Entertainment 8.3.10. Others 8.4. Y-o-Y Growth Trend Analysis By Industry, 2018 to 2022 8.5. Absolute $ Opportunity Analysis By Industry, 2023 to 2033 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 9.1. Introduction 9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 9.3.1. North America 9.3.2. Latin America 9.3.3. Europe 9.3.4. South Asia 9.3.5. East Asia 9.3.6. Oceania 9.3.7. MEA 9.4. Market Attractiveness Analysis By Region 10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. The USA 10.2.1.2. Canada 10.2.2. By Solution 10.2.3. By Application 10.2.4. By Enterprise Size 10.2.5. By Industry 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Solution 10.3.3. By Application 10.3.4. By Enterprise Size 10.3.5. By Industry 10.4. Key Takeaways 11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Brazil 11.2.1.2. Mexico 11.2.1.3. Rest of Latin America 11.2.2. By Solution 11.2.3. By Application 11.2.4. By Enterprise Size 11.2.5. By Industry 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Solution 11.3.3. By Application 11.3.4. By Enterprise Size 11.3.5. By Industry 11.4. Key Takeaways 12. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. Germany 12.2.1.2. United Kingdom 12.2.1.3. France 12.2.1.4. Spain 12.2.1.5. Italy 12.2.1.6. Rest of Europe 12.2.2. By Solution 12.2.3. By Application 12.2.4. By Enterprise Size 12.2.5. By Industry 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Solution 12.3.3. By Application 12.3.4. By Enterprise Size 12.3.5. By Industry 12.4. Key Takeaways 13. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. India 13.2.1.2. Malaysia 13.2.1.3. Singapore 13.2.1.4. Thailand 13.2.1.5. Rest of South Asia 13.2.2. By Solution 13.2.3. By Application 13.2.4. By Enterprise Size 13.2.5. By Industry 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Solution 13.3.3. By Application 13.3.4. By Enterprise Size 13.3.5. By Industry 13.4. Key Takeaways 14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. China 14.2.1.2. Japan 14.2.1.3. South Korea 14.2.2. By Solution 14.2.3. By Application 14.2.4. By Enterprise Size 14.2.5. By Industry 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Solution 14.3.3. By Application 14.3.4. By Enterprise Size 14.3.5. By Industry 14.4. Key Takeaways 15. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. Australia 15.2.1.2. New Zealand 15.2.2. By Solution 15.2.3. By Application 15.2.4. By Enterprise Size 15.2.5. By Industry 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Solution 15.3.3. By Application 15.3.4. By Enterprise Size 15.3.5. By Industry 15.4. Key Takeaways 16. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 16.2.1. By Country 16.2.1.1. GCC Countries 16.2.1.2. South Africa 16.2.1.3. Israel 16.2.1.4. Rest of MEA 16.2.2. By Solution 16.2.3. By Application 16.2.4. By Enterprise Size 16.2.5. By Industry 16.3. Market Attractiveness Analysis 16.3.1. By Country 16.3.2. By Solution 16.3.3. By Application 16.3.4. By Enterprise Size 16.3.5. By Industry 16.4. Key Takeaways 17. Key Countries Market Analysis 17.1. USA 17.1.1. Pricing Analysis 17.1.2. Market Share Analysis, 2022 17.1.2.1. By Solution 17.1.2.2. By Application 17.1.2.3. By Enterprise Size 17.1.2.4. By Industry 17.2. Canada 17.2.1. Pricing Analysis 17.2.2. Market Share Analysis, 2022 17.2.2.1. By Solution 17.2.2.2. By Application 17.2.2.3. By Enterprise Size 17.2.2.4. By Industry 17.3. Brazil 17.3.1. Pricing Analysis 17.3.2. Market Share Analysis, 2022 17.3.2.1. By Solution 17.3.2.2. By Application 17.3.2.3. By Enterprise Size 17.3.2.4. By Industry 17.4. Mexico 17.4.1. Pricing Analysis 17.4.2. Market Share Analysis, 2022 17.4.2.1. By Solution 17.4.2.2. By Application 17.4.2.3. By Enterprise Size 17.4.2.4. By Industry 17.5. Germany 17.5.1. Pricing Analysis 17.5.2. Market Share Analysis, 2022 17.5.2.1. By Solution 17.5.2.2. By Application 17.5.2.3. By Enterprise Size 17.5.2.4. By Industry 17.6. United Kingdom 17.6.1. Pricing Analysis 17.6.2. Market Share Analysis, 2022 17.6.2.1. By Solution 17.6.2.2. By Application 17.6.2.3. By Enterprise Size 17.6.2.4. By Industry 17.7. France 17.7.1. Pricing Analysis 17.7.2. Market Share Analysis, 2022 17.7.2.1. By Solution 17.7.2.2. By Application 17.7.2.3. By Enterprise Size 17.7.2.4. By Industry 17.8. Spain 17.8.1. Pricing Analysis 17.8.2. Market Share Analysis, 2022 17.8.2.1. By Solution 17.8.2.2. By Application 17.8.2.3. By Enterprise Size 17.8.2.4. By Industry 17.9. Italy 17.9.1. Pricing Analysis 17.9.2. Market Share Analysis, 2022 17.9.2.1. By Solution 17.9.2.2. By Application 17.9.2.3. By Enterprise Size 17.9.2.4. By Industry 17.10. India 17.10.1. Pricing Analysis 17.10.2. Market Share Analysis, 2022 17.10.2.1. By Solution 17.10.2.2. By Application 17.10.2.3. By Enterprise Size 17.10.2.4. By Industry 17.11. Malaysia 17.11.1. Pricing Analysis 17.11.2. Market Share Analysis, 2022 17.11.2.1. By Solution 17.11.2.2. By Application 17.11.2.3. By Enterprise Size 17.11.2.4. By Industry 17.12. Singapore 17.12.1. Pricing Analysis 17.12.2. Market Share Analysis, 2022 17.12.2.1. By Solution 17.12.2.2. By Application 17.12.2.3. By Enterprise Size 17.12.2.4. By Industry 17.13. Thailand 17.13.1. Pricing Analysis 17.13.2. Market Share Analysis, 2022 17.13.2.1. By Solution 17.13.2.2. By Application 17.13.2.3. By Enterprise Size 17.13.2.4. By Industry 17.14. China 17.14.1. Pricing Analysis 17.14.2. Market Share Analysis, 2022 17.14.2.1. By Solution 17.14.2.2. By Application 17.14.2.3. By Enterprise Size 17.14.2.4. By Industry 17.15. Japan 17.15.1. Pricing Analysis 17.15.2. Market Share Analysis, 2022 17.15.2.1. By Solution 17.15.2.2. By Application 17.15.2.3. By Enterprise Size 17.15.2.4. By Industry 17.16. South Korea 17.16.1. Pricing Analysis 17.16.2. Market Share Analysis, 2022 17.16.2.1. By Solution 17.16.2.2. By Application 17.16.2.3. By Enterprise Size 17.16.2.4. By Industry 17.17. Australia 17.17.1. Pricing Analysis 17.17.2. Market Share Analysis, 2022 17.17.2.1. By Solution 17.17.2.2. By Application 17.17.2.3. By Enterprise Size 17.17.2.4. By Industry 17.18. New Zealand 17.18.1. Pricing Analysis 17.18.2. Market Share Analysis, 2022 17.18.2.1. By Solution 17.18.2.2. By Application 17.18.2.3. By Enterprise Size 17.18.2.4. By Industry 17.19. GCC Countries 17.19.1. Pricing Analysis 17.19.2. Market Share Analysis, 2022 17.19.2.1. By Solution 17.19.2.2. By Application 17.19.2.3. By Enterprise Size 17.19.2.4. By Industry 17.20. South Africa 17.20.1. Pricing Analysis 17.20.2. Market Share Analysis, 2022 17.20.2.1. By Solution 17.20.2.2. By Application 17.20.2.3. By Enterprise Size 17.20.2.4. By Industry 17.21. Israel 17.21.1. Pricing Analysis 17.21.2. Market Share Analysis, 2022 17.21.2.1. By Solution 17.21.2.2. By Application 17.21.2.3. By Enterprise Size 17.21.2.4. By Industry 18. Market Structure Analysis 18.1. Competition Dashboard 18.2. Competition Benchmarking 18.3. Market Share Analysis of Top Players 18.3.1. By Regional 18.3.2. By Solution 18.3.3. By Application 18.3.4. By Enterprise Size 18.3.5. By Industry 19. Competition Analysis 19.1. Competition Deep Dive 19.1.1. Ranorex GmbH 19.1.1.1. Overview 19.1.1.2. Product Portfolio 19.1.1.3. Profitability by Market Segments 19.1.1.4. Sales Footprint 19.1.1.5. Strategy Overview 19.1.1.5.1. Marketing Strategy 19.1.2. Katalon, Inc. 19.1.2.1. Overview 19.1.2.2. Product Portfolio 19.1.2.3. Profitability by Market Segments 19.1.2.4. Sales Footprint 19.1.2.5. Strategy Overview 19.1.2.5.1. Marketing Strategy 19.1.3. Mabl Inc. 19.1.3.1. Overview 19.1.3.2. Product Portfolio 19.1.3.3. Profitability by Market Segments 19.1.3.4. Sales Footprint 19.1.3.5. Strategy Overview 19.1.3.5.1. Marketing Strategy 19.1.4. Usetrace 19.1.4.1. Overview 19.1.4.2. Product Portfolio 19.1.4.3. Profitability by Market Segments 19.1.4.4. Sales Footprint 19.1.4.5. Strategy Overview 19.1.4.5.1. Marketing Strategy 19.1.5. Perforce Software, Inc. 19.1.5.1. Overview 19.1.5.2. Product Portfolio 19.1.5.3. Profitability by Market Segments 19.1.5.4. Sales Footprint 19.1.5.5. Strategy Overview 19.1.5.5.1. Marketing Strategy 19.1.6. Cygnet-Infotech 19.1.6.1. Overview 19.1.6.2. Product Portfolio 19.1.6.3. Profitability by Market Segments 19.1.6.4. Sales Footprint 19.1.6.5. Strategy Overview 19.1.6.5.1. Marketing Strategy 19.1.7. Worksoft, Inc. 19.1.7.1. Overview 19.1.7.2. Product Portfolio 19.1.7.3. Profitability by Market Segments 19.1.7.4. Sales Footprint 19.1.7.5. Strategy Overview 19.1.7.5.1. Marketing Strategy 19.1.8. Testim 19.1.8.1. Overview 19.1.8.2. Product Portfolio 19.1.8.3. Profitability by Market Segments 19.1.8.4. Sales Footprint 19.1.8.5. Strategy Overview 19.1.8.5.1. Marketing Strategy 19.1.9. froglogic GmbH 19.1.9.1. Overview 19.1.9.2. Product Portfolio 19.1.9.3. Profitability by Market Segments 19.1.9.4. Sales Footprint 19.1.9.5. Strategy Overview 19.1.9.5.1. Marketing Strategy 19.1.10. Statnetics LLC 19.1.10.1. Overview 19.1.10.2. Product Portfolio 19.1.10.3. Profitability by Market Segments 19.1.10.4. Sales Footprint 19.1.10.5. Strategy Overview 19.1.10.5.1. Marketing Strategy 19.1.11. ACCELQ Inc. 19.1.11.1. Overview 19.1.11.2. Product Portfolio 19.1.11.3. Profitability by Market Segments 19.1.11.4. Sales Footprint 19.1.11.5. Strategy Overview 19.1.11.5.1. Marketing Strategy 19.1.12. QMetry Inc. 19.1.12.1. Overview 19.1.12.2. Product Portfolio 19.1.12.3. Profitability by Market Segments 19.1.12.4. Sales Footprint 19.1.12.5. Strategy Overview 19.1.12.5.1. Marketing Strategy 19.1.13. Micro Focus 19.1.13.1. Overview 19.1.13.2. Product Portfolio 19.1.13.3. Profitability by Market Segments 19.1.13.4. Sales Footprint 19.1.13.5. Strategy Overview 19.1.13.5.1. Marketing Strategy 19.1.14. Tricentis 19.1.14.1. Overview 19.1.14.2. Product Portfolio 19.1.14.3. Profitability by Market Segments 19.1.14.4. Sales Footprint 19.1.14.5. Strategy Overview 19.1.14.5.1. Marketing Strategy 19.1.15. Eggplant 19.1.15.1. Overview 19.1.15.2. Product Portfolio 19.1.15.3. Profitability by Market Segments 19.1.15.4. Sales Footprint 19.1.15.5. Strategy Overview 19.1.15.5.1. Marketing Strategy 20. Assumptions & Acronyms Used 21. Research Methodology
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Codeless Testing Market
