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 |
|
| Key Countries Covered |
|
| Key Segments Covered |
|
| Key Companies Profiled |
|
| 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
