The global crowdsourced testing market was valued at around US$ 2.90 billion in 2023. With a projected CAGR of 9.3% for the next ten years, the market is likely to reach a valuation of US$ 7.09 billion by the end of 2033. Market revenue through website testing is projected to be the highest which is expected to grow at a CAGR of around 9% during 2023 to 2033.
| Attribute | Key Insights |
|---|---|
| Global Crowdsourced Testing Market Size (2023) | US$ 2.90 billion |
| Global Crowdsourced Testing Projected Market Value (2033) | US$ 7.09 billion |
| Global Crowdsourced Testing Market Growth Rate (2023 to 2033) | 9.3% CAGR |
| North America Crowdsourced Testing Market Share (2022) | 24.3% |
| North America Crowdsourced Testing Growth Rate (2023 to 2033) | 8% CAGR |
| United States Crowdsourced Testing Growth Rate (2023 to 2033) | 7.5% CAGR |
| Share of Top 5 Countries | 55% |
| Key Companies Profiled |
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Future Market Insights’ reveals that website training dominated the crowdsourced testing market in terms of platform segment. Revenue through website testing garnered a CAGR of 7.2% during 2018 to 2022. The anticipated growth rate in the crowdsourced testing market is estimated at 9.3% CAGR over the forecasted period.
In crowdsourced testing, testers from various geographies are required to report on how fast websites or apps load or with issues concerning the defects or bugs found in the software. Moreover, crowdsourced testing allows the testers to work on any digital projects before they go live, such as mobile apps, games, websites, and other software programs.
Digitization has resulted in the adoption of a large number of digital devices, services, applications and operating systems. Therefore, the need to check the quality assurance of software for providing an enriching customer experience has scaled up which has resulted in the growth of the crowdsourced testing market. Therefore, companies are innovating in end-user testing solutions including crowdsourcing testing and gain rapid insights into the areas of digital quality that matter most to them.
Moreover, growth of IoT is likely to increase the crowdsourcing testing market in the forecast period. Key companies involved in IoT are indulging in providing IoT testing services. IoT solutions require a significant amount of product interaction with end users. With this, the necessity for crowdsourcing testing increases. Also, by applying crowdsourcing techniques, the hassles of other issues related to IoT is solved.
The benefit of scaling crowdsourced testing according to the need of the companies gives them an added advantage. Testers are flexible enough to scale up the testing services and businesses could hire crowds on the basis of the demand of their project. Moreover, executing several tests at the same time with the assistance of crowd-sourced testing reduces the time of the market and minimizes the need to invest in permanent quality assurance resources, thereby making crowd-sourced testing economical and cheap.
For instance, a media Giant based in Australia got rescued from the launch of its Dud iOS app through the help of crowdsourced testing. The app was distributed globally through a testing pool and 30 testers from 17 countries found 120 defects. Later after being detected the company was able to launch high-quality, user-friendly functional iOS applications. This signifies how crowdsourced testing can prevent companies from launching defective apps.
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For scaling up the quality assurance testing, the crowd testers are in direct touch with the companies’ project and issues. Therefore, concerns for data privacy regulations are likely to hamper the market. Regulations such as General Data Protection Regulation make the crowd testers use test data that doesn’t comply with personal data. Therefore, in order to perform crowdsourcing testing efficiently, obtaining and applying appropriate test data becomes vital.
Moreover, crowdsourced testing comprises of testers from vast geographies. Managing a vast pool of testers becomes a challenge for the growth of the crowdsourcing testing market. Moreover, it is very tough for the testers to find critical bugs from a set of huge software and applications and expand the test coverage. Furthermore, evaluating unique and valid defects mentioned by customers while being consistent throughout the testing process is not possible. This highlights that ensuring thorough testing of the entire product can be significantly difficult even after a large number of testers are deployed for testing.
| Country | United States |
|---|---|
| 2022 Value Share in Global Market | 18.4% |
The market for Crowdsourced Testing in the United States is projected to reach a valuation of US$ 1.3 billion by 2033. Revenue through crowdsourced testing in United States grew at a CAGR of 8.6% during 2018 to 2022. The United States is a key contributor to the technology development. Increase in the usage of devices necessitates the need for crowdsourced testing in the country. Being a technology hub, companies such as QAwerk have contributed to the market with testing games, mobile, and various desktops applications and websites. Moreover, companies in the United States work with eGovernment, eCommerce, startups, media and entertainment which signifies the demand for crowdsourced testing in the country. Projected growth rate in the Crowdsourced Testing is estimated at 8.3% over the forecasted period of 2023 to 2033. The absolute dollar opportunity growth in Crowdsourced Testing is estimated at US$ 726.1 million by 2033.
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Website testing dominated the platform segment in the Crowdsourced Testing Market. Market revenue through website testing grew at a CAGR of 8.7% during 2018 to 2022. The projected growth rate of website testing in the market is estimated at 9% over the forecast period. Customers prefer websites that function seamlessly on their phones.
Small issues in the website can lead to a bigger issue when it comes to web applications. Moreover, issues such as delayed response time, and poor usability can be alarming to a website and cause significant losses to a business. Moreover, delaying the testing process can increase the overall cost of resolving the problems. Therefore, website testing is an essential solution to detect core issues from the early phase and ensure that end-users do not face any errors while using the website.
Large enterprises dominated the crowdsourced testing market revenues. Revenue through large enterprises garnered a CAGR of 8.8% during 2018 to 2022. Demand for crowdsourced testing among large enterprises is attributed to attaining a high level of quality assurance to maintain their reputation, strengthen the development process and handle bug-related issues which are critical for large enterprises to stay competitive. For instance, a report of 2019-20 states that on average large enterprises allocate 23% of their annual IT budget towards quality assurance and testing.
The cost of quality assurance and testing is steadily increasing at major corporations. Public opinion of large-scale corporations is likely to rise, with a projected average annual growth rate of 7.9%.
Crowdsourced testing in the Asia Pacific is estimated to comprise a 23.2% market share by 2033. Asia-Pacific offers a lucrative option for the growth of crowdsourced testing due to its cost-effectiveness in providing IT services. The gig economy along with crowd services have already transformed the employment market and the APAC region is no different.
Crowd testing has been a game changer for software testers based in India and other similar developing countries. Moreover, the market in Australia has also witnessed significant growth in the Crowdsourced Testing. Crowdsprint, a professional software testing company based in Australia reported that crowdsourced testing for mobile and web applications from large newspapers and media companies comprised 40% of the Australian market share. Hence, crowdsourced testing has a huge potential in the Asia-Pacific market.
The key companies operating in the crowdsourced testing market include Nomura Research Institute, Ltd., Infosys Limited, Cigniti Technologies, EPAM Systems, Inc., Flatworld Solutions Pvt. Ltd., Test Yantra Software Solutions, Cobalt Labs Inc., Bugcrowd Inc., Qualitrix , Global App Testing, Applause App Quality, Inc., Synack, Testbirds, Rainforest QA, Inc., Digivante Ltd, Testlio Inc., Crowdsprint, MyCrowd, Ubertesters Inc., QA Mentor, Inc., Crowd4Test, TestUnity, usabitest.com, Stardust testing, and ImpactQA.
Some of the recent developments by key providers of the crowdsourced testing market are as follows:
Similarly, recent developments related to companies involved in providing crowdsourced testing solutions have been tracked by the team at Future Market Insights, which is available in the full report.
The market is valued at US$ 2.9 billion in 2023.
Cigniti Technologies, EPAM Systems, Inc. are key market players.
The market is forecast to register a CAGR of 9.3% through 2033.
From 2018 to 2022, the market registered a CAGR of 7.2%.
Adoption of IoT in crowdsourced testing, is encouraging the market prospects.
1. Executive Summary 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 Testing Type 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Testing Type, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Testing Type, 2023 to 2033 5.3.1. Performance Testing 5.3.2. Functionality Testing 5.3.3. Usability Testing 5.3.4. Localization Testing 5.3.5. Security Testing 5.3.6. Others 5.4. Y-o-Y Growth Trend Analysis By Testing Type, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Testing Type, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Platform 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Platform, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Platform, 2023 to 2033 6.3.1. Website Testing 6.3.2. Mobile Testing 6.3.3. Others 6.4. Y-o-Y Growth Trend Analysis By Platform, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Platform, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Organization Size 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Organization Size , 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Organization Size , 2023 to 2033 7.3.1. Large Enterprises 7.3.2. Small and Medium-sized Enterprises 7.4. Y-o-Y Growth Trend Analysis By Organization Size , 2018 to 2022 7.5. Absolute $ Opportunity Analysis By Organization Size , 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vertical 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Million) Analysis By Vertical, 2018 to 2022 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vertical, 2023 to 2033 8.3.1. Retail 8.3.2. BFSI 8.3.3. IT and Telecom 8.3.4. Healthcare and Life Sciences 8.3.5. Media and Entertainment 8.3.6. Others 8.4. Y-o-Y Growth Trend Analysis By Vertical, 2018 to 2022 8.5. Absolute $ Opportunity Analysis By Vertical, 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. Western Europe 9.3.4. Eastern Europe 9.3.5. South Asia and Pacific 9.3.6. East Asia 9.3.7. Middle East and Africa 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. USA 10.2.1.2. Canada 10.2.2. By Testing Type 10.2.3. By Platform 10.2.4. By Organization Size 10.2.5. By Vertical 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Testing Type 10.3.3. By Platform 10.3.4. By Organization Size 10.3.5. By Vertical 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 Testing Type 11.2.3. By Platform 11.2.4. By Organization Size 11.2.5. By Vertical 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Testing Type 11.3.3. By Platform 11.3.4. By Organization Size 11.3.5. By Vertical 11.4. Key Takeaways 12. Western 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. UK 12.2.1.3. France 12.2.1.4. Spain 12.2.1.5. Italy 12.2.1.6. Rest of Western Europe 12.2.2. By Testing Type 12.2.3. By Platform 12.2.4. By Organization Size 12.2.5. By Vertical 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Testing Type 12.3.3. By Platform 12.3.4. By Organization Size 12.3.5. By Vertical 12.4. Key Takeaways 13. Eastern Europe 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. Poland 13.2.1.2. Russia 13.2.1.3. Czech Republic 13.2.1.4. Romania 13.2.1.5. Rest of Eastern Europe 13.2.2. By Testing Type 13.2.3. By Platform 13.2.4. By Organization Size 13.2.5. By Vertical 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Testing Type 13.3.3. By Platform 13.3.4. By Organization Size 13.3.5. By Vertical 13.4. Key Takeaways 14. South Asia and Pacific 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. India 14.2.1.2. Bangladesh 14.2.1.3. Australia 14.2.1.4. New Zealand 14.2.1.5. Rest of South Asia and Pacific 14.2.2. By Testing Type 14.2.3. By Platform 14.2.4. By Organization Size 14.2.5. By Vertical 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Testing Type 14.3.3. By Platform 14.3.4. By Organization Size 14.3.5. By Vertical 14.4. Key Takeaways 15. East Asia 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. China 15.2.1.2. Japan 15.2.1.3. South Korea 15.2.2. By Testing Type 15.2.3. By Platform 15.2.4. By Organization Size 15.2.5. By Vertical 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Testing Type 15.3.3. By Platform 15.3.4. By Organization Size 15.3.5. By Vertical 15.4. Key Takeaways 16. Middle East and Africa 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 Testing Type 16.2.3. By Platform 16.2.4. By Organization Size 16.2.5. By Vertical 16.3. Market Attractiveness Analysis 16.3.1. By Country 16.3.2. By Testing Type 16.3.3. By Platform 16.3.4. By Organization Size 16.3.5. By Vertical 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 Testing Type 17.1.2.2. By Platform 17.1.2.3. By Organization Size 17.1.2.4. By Vertical 17.2. Canada 17.2.1. Pricing Analysis 17.2.2. Market Share Analysis, 2022 17.2.2.1. By Testing Type 17.2.2.2. By Platform 17.2.2.3. By Organization Size 17.2.2.4. By Vertical 17.3. Brazil 17.3.1. Pricing Analysis 17.3.2. Market Share Analysis, 2022 17.3.2.1. By Testing Type 17.3.2.2. By Platform 17.3.2.3. By Organization Size 17.3.2.4. By Vertical 17.4. Mexico 17.4.1. Pricing Analysis 17.4.2. Market Share Analysis, 2022 17.4.2.1. By Testing Type 17.4.2.2. By Platform 17.4.2.3. By Organization Size 17.4.2.4. By Vertical 17.5. Germany 17.5.1. Pricing Analysis 17.5.2. Market Share Analysis, 2022 17.5.2.1. By Testing Type 17.5.2.2. By Platform 17.5.2.3. By Organization Size 17.5.2.4. By Vertical 17.6. UK 17.6.1. Pricing Analysis 17.6.2. Market Share Analysis, 2022 17.6.2.1. By Testing Type 17.6.2.2. By Platform 17.6.2.3. By Organization Size 17.6.2.4. By Vertical 17.7. France 17.7.1. Pricing Analysis 17.7.2. Market Share Analysis, 2022 17.7.2.1. By Testing Type 17.7.2.2. By Platform 17.7.2.3. By Organization Size 17.7.2.4. By Vertical 17.8. Spain 17.8.1. Pricing Analysis 17.8.2. Market Share Analysis, 2022 17.8.2.1. By Testing Type 17.8.2.2. By Platform 17.8.2.3. By Organization Size 17.8.2.4. By Vertical 17.9. Italy 17.9.1. Pricing Analysis 17.9.2. Market Share Analysis, 2022 17.9.2.1. By Testing Type 17.9.2.2. By Platform 17.9.2.3. By Organization Size 17.9.2.4. By Vertical 17.10. Poland 17.10.1. Pricing Analysis 17.10.2. Market Share Analysis, 2022 17.10.2.1. By Testing Type 17.10.2.2. By Platform 17.10.2.3. By Organization Size 17.10.2.4. By Vertical 17.11. Russia 17.11.1. Pricing Analysis 17.11.2. Market Share Analysis, 2022 17.11.2.1. By Testing Type 17.11.2.2. By Platform 17.11.2.3. By Organization Size 17.11.2.4. By Vertical 17.12. Czech Republic 17.12.1. Pricing Analysis 17.12.2. Market Share Analysis, 2022 17.12.2.1. By Testing Type 17.12.2.2. By Platform 17.12.2.3. By Organization Size 17.12.2.4. By Vertical 17.13. Romania 17.13.1. Pricing Analysis 17.13.2. Market Share Analysis, 2022 17.13.2.1. By Testing Type 17.13.2.2. By Platform 17.13.2.3. By Organization Size 17.13.2.4. By Vertical 17.14. India 17.14.1. Pricing Analysis 17.14.2. Market Share Analysis, 2022 17.14.2.1. By Testing Type 17.14.2.2. By Platform 17.14.2.3. By Organization Size 17.14.2.4. By Vertical 17.15. Bangladesh 17.15.1. Pricing Analysis 17.15.2. Market Share Analysis, 2022 17.15.2.1. By Testing Type 17.15.2.2. By Platform 17.15.2.3. By Organization Size 17.15.2.4. By Vertical 17.16. Australia 17.16.1. Pricing Analysis 17.16.2. Market Share Analysis, 2022 17.16.2.1. By Testing Type 17.16.2.2. By Platform 17.16.2.3. By Organization Size 17.16.2.4. By Vertical 17.17. New Zealand 17.17.1. Pricing Analysis 17.17.2. Market Share Analysis, 2022 17.17.2.1. By Testing Type 17.17.2.2. By Platform 17.17.2.3. By Organization Size 17.17.2.4. By Vertical 17.18. China 17.18.1. Pricing Analysis 17.18.2. Market Share Analysis, 2022 17.18.2.1. By Testing Type 17.18.2.2. By Platform 17.18.2.3. By Organization Size 17.18.2.4. By Vertical 17.19. Japan 17.19.1. Pricing Analysis 17.19.2. Market Share Analysis, 2022 17.19.2.1. By Testing Type 17.19.2.2. By Platform 17.19.2.3. By Organization Size 17.19.2.4. By Vertical 17.20. South Korea 17.20.1. Pricing Analysis 17.20.2. Market Share Analysis, 2022 17.20.2.1. By Testing Type 17.20.2.2. By Platform 17.20.2.3. By Organization Size 17.20.2.4. By Vertical 17.21. GCC Countries 17.21.1. Pricing Analysis 17.21.2. Market Share Analysis, 2022 17.21.2.1. By Testing Type 17.21.2.2. By Platform 17.21.2.3. By Organization Size 17.21.2.4. By Vertical 17.22. South Africa 17.22.1. Pricing Analysis 17.22.2. Market Share Analysis, 2022 17.22.2.1. By Testing Type 17.22.2.2. By Platform 17.22.2.3. By Organization Size 17.22.2.4. By Vertical 17.23. Israel 17.23.1. Pricing Analysis 17.23.2. Market Share Analysis, 2022 17.23.2.1. By Testing Type 17.23.2.2. By Platform 17.23.2.3. By Organization Size 17.23.2.4. By Vertical 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 Testing Type 18.3.3. By Platform 18.3.4. By Organization Size 18.3.5. By Vertical 19. Competition Analysis 19.1. Competition Deep Dive 19.1.1. Nomura Research Institute, Ltd. 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. Infosys Limited 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. Cigniti Technologies 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. EPAM Systems, Inc. 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. Flatworld Solutions Pvt. Ltd 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. Test Yantra Software Solutions 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. Cobalt Labs 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. Bugcrowd Inc. 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. Qualitrix 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. Global App Testing 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. Applause App Quality, 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. Synack 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. Testbirds 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. Rainforest QA, Inc. 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. Digivante Ltd 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 19.1.16. Testlio Inc. 19.1.16.1. Overview 19.1.16.2. Product Portfolio 19.1.16.3. Profitability by Market Segments 19.1.16.4. Sales Footprint 19.1.16.5. Strategy Overview 19.1.16.5.1. Marketing Strategy 19.1.17. Crowdsprint 19.1.17.1. Overview 19.1.17.2. Product Portfolio 19.1.17.3. Profitability by Market Segments 19.1.17.4. Sales Footprint 19.1.17.5. Strategy Overview 19.1.17.5.1. Marketing Strategy 19.1.18. MyCrowd, 19.1.18.1. Overview 19.1.18.2. Product Portfolio 19.1.18.3. Profitability by Market Segments 19.1.18.4. Sales Footprint 19.1.18.5. Strategy Overview 19.1.18.5.1. Marketing Strategy 19.1.19. Ubertesters Inc. 19.1.19.1. Overview 19.1.19.2. Product Portfolio 19.1.19.3. Profitability by Market Segments 19.1.19.4. Sales Footprint 19.1.19.5. Strategy Overview 19.1.19.5.1. Marketing Strategy 19.1.20. QA Mentor, Inc. 19.1.20.1. Overview 19.1.20.2. Product Portfolio 19.1.20.3. Profitability by Market Segments 19.1.20.4. Sales Footprint 19.1.20.5. Strategy Overview 19.1.20.5.1. Marketing Strategy 20. Assumptions & Acronyms Used 21. Research Methodology
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Crowdsourced Testing Market
