Report:

A: This research provides a comprehensive evaluation of 13 continuous automation and testing (CAT) service providers based on 27 criteria. It evaluates vendors across current offering (50% weight), strategy (50% weight), and market presence. The assessment covers CAT advisory and coaching services, transformation services, execution models, testing scenarios, automation capabilities, cloud testing, AI-infused applications testing, GenAI capabilities, accelerators, employee retention, benchmarking, and execution efficiency. It includes vendor profiles with strengths and weaknesses, customer feedback from reference clients, and positioning across Leaders, Strong Performers, Contenders, and Challengers categories.

A: Modern application development leaders should use this research to select the right CAT service provider for their needs. Organizations seeking to speed their transition from manual to automated testing, proficiently deliver testing services for MAD, and pragmatically infuse GenAI into testing tools will benefit from this evaluation. The research is particularly valuable for firms undergoing digital transformation, implementing DevOps practices, modernizing legacy applications, adopting cloud-native architectures, and deploying AI-infused applications. It provides actionable guidance through vendor comparisons, customizable criteria weightings via an Excel tool, and specific recommendations based on organizational requirements and strategic priorities.

A: To be included in this Forrester Wave evaluation, CAT service providers must meet three mandatory criteria: 1) Generate at least $300 million in annual revenue specifically from CAT services, demonstrating significant scale and market presence; 2) Possess differentiating capabilities in areas such as test automation, AI, and genAI application to software testing, OR demonstrate true global reach by generating more than 15% of total CAT services revenue in at least two of three major regions (North America, EMEA, and APAC); and 3) Achieve significant analyst and peer recognition by being frequently mentioned as competitors in client bids documented in the Q4 2023 CAT services landscape report or regularly discussed in analyst briefings, inquiries, and interviews.

A:

• Annual CAT services revenue below $300 million threshold
• Lack of differentiated capabilities in automation, AI, or genAI testing
• Insufficient global reach (less than 15% revenue in two or more major regions)
• Limited analyst or peer recognition in the marketplace
• Declining to participate in or only partially contributing to the evaluation process
• Focus on testing tools/products rather than services
• Not frequently mentioned by peers as competitors in client bids
• Insufficient presence in analyst briefings, inquiries, and interviews

A:

• Provider's ability to speed transition from manual to automated testing with demonstrated credentials achieving 70-80% automation rates
• Proficiency in delivering testing services for modern application development (MAD) including agile, DevOps, shift-left testing, and testing in production
• Pragmatic infusion of genAI into testing tools to enhance tester productivity
• Capabilities for testing AI-infused applications (AIIAs) to address hallucination, inaccuracy, and bias
• Provider's talent strategy including workforce transformation, skills development, and employee retention rates
• Global delivery strategy and regional presence aligned with organizational needs
• Partnership ecosystem and integration capabilities with third-party tools
• Pricing flexibility and transparency in service models
• Track record of client intimacy, collaboration, and communication
• Innovation investments and R&D capabilities in AI/genAI
• Quality of testing accelerators and platform approaches
• Cloud testing capabilities across multiple platforms
• Test environment and test data management (TE/TDM) services
• Benchmarking, metrics, and reporting capabilities

A:

• Generative AI is revolutionizing the CAT services testing market, with customers having high expectations of genAI's ability to augment testers
• Organizations are achieving 70% to 80% functional test automation in projects with high-performing CAT service providers
• Transition from manual to automated testing is accelerating across the industry
• Modern application development (MAD) requires integrated continuous automation testing with agile, DevOps, shift-left testing practices
• Testing AI-infused applications (AIIAs) requires new types of testing to moderate hallucination, inaccuracy, and bias
• CAT service providers are infusing AI and genAI into testing accelerator tools to enhance productivity
• Providers are transforming workforces to support cloud-native, DevSecOps, and engineering-focused testing
• Client intimacy and collaboration remain critical alongside technological innovation
• Testing in production techniques including A/B testing, feature flags, and blue-green deployment are becoming essential

A: Strength of Offering (50% weighting) evaluates vendors' current CAT service capabilities across 18 specific criteria including advisory services, execution models, testing scenarios, automation engineering, cloud testing, AI-infused testing, accelerator platforms, and operational metrics. Strength of Strategy (50% weighting) assesses vendors' forward-looking approach across 6 criteria including vision, innovation, partner ecosystem, pricing models, talent development, and global delivery capabilities. Offering focuses on what vendors deliver today, while Strategy evaluates their roadmap and ability to evolve with market demands, particularly around AI and genAI adoption.