Advancements in AI-Augmented Software-Testing Tools: Shaping the Future of Testing - Valuates Reports

AI-augmented software-testing tools, leveraging AI technologies like machine learning (ML), self-healing heuristics, and computer vision, empower advanced, self-optimizing, and adaptive automated testing. These tools reduce the reliance on human intervention and aid in various testing aspects, including test case and test data generation, test suite optimization, test efficacy, analysis, defect prediction, and test effort estimation. By streamlining and improving the testing workflow, AI-augmented tools enhance human productivity and efficiency.

Global Market Projection:
According to QYResearch's latest survey, the global AI-Augmented Software-Testing Tools market is projected to reach US$ million by 2029, witnessing significant growth from US$ million in 2022, at a remarkable CAGR of % during the period from 2023 to 2029. The research comprehensively considers influential factors such as economic environments, the impact of COVID-19, and the Russia-Ukraine War, which have led to market fluctuations in recent years.

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The AI and ML Impact on Software Engineering:
The growing use of AI and ML is revolutionizing businesses, and software engineering teams are experiencing their transformative impact. AI-augmented testing is an essential component of a digital immune system, reinforcing software robustness and reliability.

Objective of the Report:
This report offers a comprehensive understanding of the global AI-Augmented Software-Testing Tools market, considering historical analysis (2018-2022) and forecast calculations (2023-2029). It aims to equip readers with multiple perspectives, facilitating well-informed strategy development and decision-making processes.

Key Points of Focus:
The report delves into the capabilities and benefits of AI-augmented testing tools, elucidating how these tools enhance test workflows and human productivity. It covers various aspects, including test case generation, test data generation, test suite optimization, test efficacy, analysis, defect prediction, and test effort estimation.

Market Insights:
By analyzing market trends and fluctuations, the report provides valuable insights into the current and future landscape of AI-Augmented Software-Testing Tools. The impact of influential factors such as COVID-19 and geopolitical events is comprehensively examined to better understand market dynamics.

Segment by Type
-Quality Analytics
-Unit Test Optimization
-Visual Testing
-UI Functional Testing
-Others

Segment by Application
-SMEs
-Large Enterprises

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This release was published on openPR.