Quality Engineering Services 2026 Market Insights™

October, 2026

This report identifies key demand-side trends in the quality engineering (QE) space, assisting enterprises in their QE transformation journeys. It provides an overview of key trends and enterprise challenges that Avasant considers important to highlight in the QE space.

Why read this Market Insights?

The need to accelerate software delivery while maintaining quality is driving increased demand for QE services. Enterprises are adopting a two-sided QE approach: using AI to improve testing productivity while building new assurance capabilities for AI systems across accuracy, safety, resilience, compliance, and business outcomes. Delivery models are also evolving, with human-led, hybrid, and AI-led execution operating concurrently based on workload complexity, risk, and automation maturity. At the same time, specialized QE practices are expanding across conversational, knowledge-based, agentic, and predictive AI applications. BFSI remains the largest demand center, with high-tech, healthcare and life sciences, and retail and CPG also driving demand for industry-specific QE solutions.

The Quality Engineering Services Market Insights™ aids enterprises in identifying important market trends and challenges for their QE projects.

Methodology

The industry insights and recommendations presented are based on our ongoing interactions with enterprise CXOs and other key executives, targeted discussions with service providers, subject matter experts, and Avasant Fellows, along with lessons learned from consulting engagements.

Table of contents

About the report (Pages 3–5)

Executive summary (Pages 6–9)

    • Defining quality engineering services
    • Key enterprise quality engineering services trends shaping the market
    • Avasant’s Quality Engineering Services 2026 RadarView recognizes 32 top-tier providers supporting the enterprise adoption of QE services

State of the market (Pages 10–15)

    • Quality engineering is becoming a two-sided imperative in the AI era.
    • Quality engineering is adopting three concurrent delivery models based on workload risk and automation readiness.
    • As AI use cases multiply, quality assurance is increasingly adapting to application-specific risks through tailored testing approaches.
    • BFSI accounts for two in five quality engineering services deals, followed by high-tech, healthcare and life sciences, and retail and CPG.
    • Enterprises increasingly leverage industry-specific solutions that integrate domain knowledge, regulatory requirements, and platform-specific test assets.

Future outlook (Pages 16–17)

    • The next wave of QE will address new quality risks across AI-generated code, autonomous agents, enterprise knowledge, and software-defined products

Key contacts (Page 18)


Read the Research Byte based on this report. Please refer to Avasant’s Quality Engineering Services 2026 RadarView™ for detailed insights on the service providers and supply-side trends.

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DISCLAIMER:

Avasant’s research and other publications are based on information from the best available sources and Avasant’s independent assessment and analysis at the time of publication. Avasant takes no responsibility and assumes no liability for any error/omission or the accuracy of information contained in its research publications. Avasant does not endorse any provider, product or service described in its RadarView™ publications or any other research publications that it makes available to its users, and does not advise users to select only those providers recognized in these publications. Avasant disclaims all warranties, expressed or implied, including any warranties of merchantability or fitness for a particular purpose. None of the graphics, descriptions, research, excerpts, samples or any other content provided in the report(s) or any of its research publications may be reprinted, reproduced, redistributed or used for any external commercial purpose without prior permission from Avasant, LLC. All rights are reserved by Avasant, LLC.

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