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.
Principal Consultant
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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