Download Sample
Add to CartAutomation Testing Market
By Organization Size;
Small & Medium-Sized Enterprises and Large EnterprisesBy Testing Type;
Static and DynamicBy Interface;
Desktop Testing, Web Testing, Mobile Testing, and Test DesignBy Vertical;
Healthcare, IT & Telecommunication, Energy & Utilities, BFSI, Government, and OthersBy Geography;
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America - Report Timeline (2021 - 2031)Automation Testing Market Overview
Automation Testing Market (USD Million)
Automation Testing Market was valued at USD 34,906.97 million in the year 2024. The size of this market is expected to increase to USD 120,765.38 million by the year 2031, while growing at a Compounded Annual Growth Rate (CAGR) of 19.4%.
Automation Testing Market
*Market size in USD million
CAGR 19.4 %
| Study Period | 2025 - 2031 |
|---|---|
| Base Year | 2024 |
| CAGR (%) | 19.4 % |
| Market Size (2024) | USD 34,906.97 Million |
| Market Size (2031) | USD 120,765.38 Million |
| Market Concentration | Low |
| Report Pages | 374 |
Major Players
- IBM Corporation
- Apexon
- Accenture
- Cigniti Technologies
- Capgemini SE
- Microsoft
- Tricentis
- Keysight technologies
- Sauce Labs
- Parasoft
Market Concentration
Consolidated - Market dominated by 1 - 5 major players
Automation Testing Market
Fragmented - Highly competitive market without dominant players
The Automation Testing Market is gaining traction as organizations focus on delivering high-quality software at greater speed. Businesses are shifting to automation tools to shorten release cycles and ensure consistent results. Currently, over 65% of companies integrate automated testing to improve efficiency and reduce manual intervention.
Influence of Agile and DevOps Practices
The widespread adoption of Agile and DevOps is driving the demand for continuous testing solutions. Over 70% of DevOps workflows now leverage automation for smoother releases and faster feedback loops. This integration promotes enhanced team coordination and supports faster deployment of updates.
Emergence of AI-Enhanced Testing Solutions
The use of AI and machine learning is reshaping how test automation is executed and managed. Approximately 40% of new testing tools incorporate intelligent features like dynamic script maintenance and error detection. These innovations are reducing test flakiness and enhancing overall coverage.
Expansion of Cloud and Platform-Agnostic Testing
Cloud capabilities are accelerating the adoption of scalable, cross-platform automation frameworks. Nearly 55% of testing operations now utilize cloud infrastructures for seamless execution and extended coverage. These tools support real-time testing across devices, improving both speed and accuracy.
Automation Testing Market Recent Developments
- January 2023, OpenText acquired Micro Focus, a UK-based business software and consulting firm.
- June 2023, Microsoft partnered with Leapwork to offer test automation for users of Microsoft Dynamics 365 and Microsoft Power Platform. Leapwork's platform leverages an AI-powered, visual, and codeless system, enabling non-technical business users to easily create and manage test automation. This supports continuous, end-to-end testing across applications, minimizing the risk of disruptions during monthly software updates and ensuring the consistent delivery of high-quality software.
- August 2023, Keysight Technologies introduced Eggplant Test 7.0, an enhanced version of their automated software testing solution. This update includes integrations designed to help QA teams conduct simultaneous tests on mobile apps across various devices and operating systems.
- July 2021, Capgemini and SharpEnd launched CornerShop, a retail innovation store. This dynamic space acts as a live testing environment, providing brands, retailers, and shoppers with hands-on experience with technologies that are transforming the shopping journey in sectors such as food and drink, cosmetics, and fashion.
Automation Testing Market Segment Analysis
In this report, the Automation Testing Market has been segmented by Organization Size, Testing Type, Interface, Vertical, and Geography.
Automation Testing Market, Segmentation by Organization Size
The Automation Testing Market has been segmented by Organization Size into Small And Medium-Sized Enterprises, and Large Enterprises.
Small and Medium-Sized Enterprises
Small and Medium-Sized Enterprises (SMEs) are increasingly adopting automation testing tools to enhance software quality and improve time-to-market. Nearly 45% of SMEs are now integrating automation into their development pipelines to drive efficiency and reduce manual errors.
Large Enterprises
Large Enterprises continue to lead the adoption of automation testing, leveraging their extensive IT infrastructure for implementing robust and scalable testing frameworks. Around 70% of large enterprises use automation to support continuous delivery and maintain regulatory compliance while boosting software reliability.
Automation Testing Market, Segmentation by Testing Type
The Automation Testing Market has been segmented by Testing Type into Static and Dynamic
Static
Static testing involves the assessment of code and documentation without execution, focusing on identifying syntax errors, logical flaws, and compliance issues. It contributes to nearly 30% of automation testing efforts aimed at detecting defects early and minimizing rework costs.
Dynamic
Dynamic testing evaluates the application by executing the software to validate functionality, performance, and user interactions. Making up around 70% of automated testing, it is essential for detecting runtime issues and delivering a seamless user experience.
Automation Testing Market, Segmentation by Interface
The Automation Testing Market has been segmented by Interface into Desktop Testing, Web Testing, Mobile Testing, and Test Design
Desktop Testing
Desktop testing focuses on automating tests for standalone applications that operate on desktop platforms. It ensures compatibility across OS versions and maintains the functionality of legacy enterprise systems, accounting for approximately 20% of automation testing efforts.
Web Testing
Web testing enables validation of browser-based applications across different browsers and devices. With a focus on responsiveness and performance, this segment covers nearly 40% of the automation market due to the growing reliance on digital platforms.
Mobile Testing
Mobile testing automates the testing of apps on Android and iOS devices, ensuring UI consistency, functionality, and cross-device compatibility. Around 30% of testing efforts are focused on mobile apps, driven by the adoption of mobile-first strategies.
Test Design
Test design involves creating structured test scripts and cases to maximize test accuracy and efficiency. Though it comprises about 10% of the market, it is essential for ensuring high coverage and maintaining a scalable test environment.
Automation Testing Market, Segmentation by Vertical
The Automation Testing Market has been segmented by Vertical into Healthcare, IT & Telecommunication, Energy & Utilities, BFSI, Government and Others.
Healthcare
Healthcare organizations adopt automation testing to ensure compliance, maintain data accuracy, and support critical clinical systems. This segment accounts for approximately 20% of the market, with a strong focus on system reliability and security.
IT & Telecommunication
The IT & Telecommunication sector dominates the automation testing space, contributing around 30% of the demand. It benefits from automated CI/CD processes, network validation, and scalable testing infrastructures.
Energy & Utilities
Energy & Utilities leverage automation for testing smart grids, data systems, and monitoring applications. With about 10% market share, automation helps improve operational efficiency and support digital transformation.
BFSI
BFSI uses automation to manage transaction integrity, ensure compliance, and support fraud prevention systems. It holds a significant 25% share of the market due to its demand for secure and reliable testing environments.
Government
Government entities implement automation testing for public services, defense software, and system integration. Representing nearly 10% of the market, this segment is growing with advancements in e-governance.
Others
The Others category, including retail, education, and manufacturing, makes up the remaining 5%. These industries apply automation testing to boost application quality and accelerate deployment cycles.
Automation Testing Market, Segmentation by Geography
In this report, the Automation Testing Market has been segmented by Geography into five regions; North America, Europe, Asia Pacific, Middle East and Africa and Latin America.
Regions and Countries Analyzed in this Report
Automation Testing Market Share (%), by Geographical Region
North America
North America dominates the automation testing market with a share of around 35%, driven by strong DevOps adoption, advanced technology infrastructure, and significant presence of software enterprises.
Europe
Europe contributes about 25% to the global market, supported by growing demand for compliance testing and investments in digital quality assurance across major economies such as Germany and the UK.
Asia Pacific
Asia Pacific holds nearly 20% of the market and is the fastest-growing region, propelled by rapid IT outsourcing, expanding start-up ecosystems, and a surge in mobile app development.
Middle East and Africa
Middle East and Africa represent about 10% of the market, with growing interest in digital transformation, especially through government digitization and smart city initiatives.
Latin America
Latin America accounts for approximately 10% of the market, driven by increasing adoption of automated testing solutions in financial services and expanding e-commerce platforms.
Market Trends
This report provides an in depth analysis of various factors that impact the dynamics of Global Automation Testing Market. These factors include; Market Drivers, Restraints and Opportunities Analysis.
Comprehensive Market Impact Matrix
This matrix outlines how core market forces—Drivers, Restraints, and Opportunities—affect key business dimensions including Growth, Competition, Customer Behavior, Regulation, and Innovation.
| Market Forces ↓ / Impact Areas → | Market Growth Rate | Competitive Landscape | Customer Behavior | Regulatory Influence | Innovation Potential |
|---|---|---|---|---|---|
| Drivers | High impact (e.g., tech adoption, rising demand) | Encourages new entrants and fosters expansion | Increases usage and enhances demand elasticity | Often aligns with progressive policy trends | Fuels R&D initiatives and product development |
| Restraints | Slows growth (e.g., high costs, supply chain issues) | Raises entry barriers and may drive market consolidation | Deters consumption due to friction or low awareness | Introduces compliance hurdles and regulatory risks | Limits innovation appetite and risk tolerance |
| Opportunities | Unlocks new segments or untapped geographies | Creates white space for innovation and M&A | Opens new use cases and shifts consumer preferences | Policy shifts may offer strategic advantages | Sparks disruptive innovation and strategic alliances |
Drivers, Restraints and Opportunity Analysis
Drivers:
- Rising demand for faster software releases
- Growing adoption of DevOps and Agile
- Need to reduce human error in testing
-
Increased use of AI in test automation - The growing adoption of AI-driven testing tools is transforming the automation landscape by enabling smarter, faster, and more reliable quality assurance cycles. Machine-learning algorithms can now analyze historical defect data, dynamically generate test cases, and prioritize execution based on risk, ensuring that critical functionality receives immediate attention. This intelligent approach reduces manual effort and accelerates release velocity, making AI a pivotal driver for organizations seeking competitive advantage through rapid software delivery.
AI engines also power self-healing test scripts that automatically adapt to changes in application interfaces. When locators or workflows shift, the system re-maps elements without human intervention, minimizing test flakiness and maintenance overhead. By eliminating brittle scripts, development teams can focus on new feature testing rather than constant script repair, boosting overall productivity and morale.
Advanced analytics embedded in AI platforms provide predictive defect detection by identifying code areas most likely to fail based on historical patterns and complexity metrics. This proactive insight allows engineers to allocate testing resources where they are needed most, improving coverage while cutting redundant executions. As a result, organizations experience better defect prevention and lower post-production incident rates.
Natural-language processing further democratizes automation by enabling low-code, conversational test creation. Business analysts and non-technical stakeholders can describe test scenarios in plain language, which AI then converts into executable scripts. This expansion of participation accelerates test development and bridges gaps between business and engineering teams.
Restraints:
- High initial setup and tool costs
- Lack of skilled automation professionals
- Tool integration challenges with legacy systems
-
Test script maintenance complexity over time - As applications evolve, test script maintenance complexity becomes a significant barrier to sustained automation success. Frequent UI changes, API updates, and architectural refactors can render existing scripts obsolete, triggering a cycle of constant repair that consumes valuable engineering hours and diverts focus from innovation. This burden intensifies as test suites scale, driving up costs and extending release timelines.
Many legacy automation frameworks rely on hard-coded element locators and brittle workflows, making them highly sensitive to minor interface modifications. Even a simple attribute change can cause widespread failures, generating false positives that erode stakeholder confidence in automation results. Teams often resort to time-consuming manual verification to pinpoint root causes, diminishing the ROI of automated testing.
Maintaining scripts across multiple environments—desktop, mobile, and cross-browser—adds another layer of complexity. Environmental discrepancies in data, network latency, or third-party integrations can produce inconsistent outcomes, requiring specialized logic to stabilize execution. Over time, this patchwork of environment-specific code becomes difficult to manage and debug, slowing down continuous delivery pipelines.
The rapid pace of agile development exacerbates the issue. With new features deployed in short sprints, test artifacts must evolve just as quickly. Teams unable to keep scripts current face mounting technical debt, leading to longer regression cycles and delayed releases. This lag undermines the promise of automation and can push organizations back toward manual testing out of necessity.
Opportunities:
- Expansion of mobile and web applications
- Cloud-based testing platforms gaining traction
- Emerging use in IoT and embedded systems
-
Shift toward continuous testing in CI/CD pipelines - The industry-wide move to continuous testing within CI/CD pipelines represents a major growth opportunity for automation vendors and service providers. Integrating automated tests at every stage of the delivery lifecycle enables rapid feedback on code quality, allowing developers to detect and remediate defects almost instantly. This shift-left strategy reduces costly late-stage fixes and aligns quality with the speed of modern software development.
Containerization and infrastructure-as-code have simplified environment provisioning, making it possible to spin up on-demand test environments that mirror production. Automated suites run in parallel across microservices, generating comprehensive quality signals without blocking deployment. Such scalability is essential for organizations adopting DevOps practices, where frequent commits demand equally frequent validation.
Continuous testing also encourages the adoption of service virtualization and API mocking, enabling teams to test dependencies that may not yet exist or are controlled by third parties. By removing external bottlenecks, developers can validate integration points earlier, resulting in more reliable releases and faster time-to-market.
Security and compliance considerations are increasingly baked into pipelines through DevSecOps automation. Static analysis, dynamic scanning, and compliance checks run alongside functional tests, ensuring that each build meets both quality and regulatory requirements before promotion. This holistic approach elevates testing from a gatekeeping activity to a continuous quality enabler.
As enterprises seek to standardize tooling and metrics across development streams, vendors that deliver seamless integration, robust reporting, and AI-assisted test orchestration will capture expanding budgets. The transition to continuous testing therefore stands as a prime avenue for innovation and revenue growth in the Automation Testing Market.
Competitive Landscape Analysis
Key players in Automation Testing Market include:
- IBM Corporation
- Apexon
- Accenture
- Cigniti Technologies
- Capgemini SE
- Microsoft
- Tricentis
- Keysight technologies
- Sauce Labs
- Parasoft
In this report, the profile of each market player provides following information:
- Company Overview and Product Portfolio
- Market Share Analysis
- Key Developments
- Financial Overview
- Strategies
- Company SWOT Analysis
- Introduction
- Research Objectives and Assumptions
- Research Methodology
- Abbreviations
- Market Definition & Study Scope
- Executive Summary
- Market Snapshot, By Organization Size
- Market Snapshot, By Testing Type
- Market Snapshot, By Interface
- Market Snapshot, By Vertical
- Market Snapshot, By Region
- Automation Testing Market Dynamics
- Drivers, Restraints and Opportunities
- Drivers
-
Rising demand for faster software releases
-
Growing adoption of DevOps and Agile
-
Need to reduce human error in testing
-
Increased use of AI in test automation
-
High initial setup and tool costs
-
Lack of skilled automation professionals
-
Tool integration challenges with legacy systems
-
Test script maintenance complexity over time
-
Expansion of mobile and web applications
-
Cloud-based testing platforms gaining traction
-
Emerging use in IoT and embedded systems
-
Shift toward continuous testing in CI/CD pipelines
-
- Drivers
- PEST Analysis
- Political Analysis
- Economic Analysis
- Social Analysis
- Technological Analysis
- Porter's Analysis
- Bargaining Power of Suppliers
- Bargaining Power of Buyers
- Threat of Substitutes
- Threat of New Entrants
- Competitive Rivalry
- Drivers, Restraints and Opportunities
- Market Segmentation
- Automation Testing Market, By Organization Size, 2021 - 2031 (USD Million)
-
Small And Medium-Sized Enterprises
-
Large Enterprises
-
-
Automation Testing Market, By Testing Type, 2021 - 2031 (USD Million)
-
Static
-
Dynamic
-
-
Automation Testing Market, By Interface, 2021 - 2031 (USD Million)
-
Desktop Testing
-
Web Testing
-
Mobile Testing
-
Test Design
-
- Automation Testing Market, By Vertical, 2021 - 2031 (USD Million)
-
Healthcare
-
IT & Telecommunication
-
Energy & Utilities
-
BFSI
-
Government
-
Others
-
- Automation Testing Market, By Geography, 2021 - 2031 (USD Million)
- North America
- United States
- Canada
- Europe
- Germany
- United Kingdom
- France
- Italy
- Spain
- Nordic
- Benelux
- Rest of Europe
- Asia Pacific
- Japan
- China
- India
- Australia & New Zealand
- South Korea
- ASEAN (Association of South East Asian Countries)
- Rest of Asia Pacific
- Middle East & Africa
- GCC
- Israel
- South Africa
- Rest of Middle East & Africa
- Latin America
- Brazil
- Mexico
- Argentina
- Rest of Latin America
- North America
- Automation Testing Market, By Organization Size, 2021 - 2031 (USD Million)
- Competitive Landscape
- Company Profiles
- IBM Corporation
- Apexon
- Accenture
- Cigniti Technologies
- Capgemini SE
- Microsoft
- Tricentis
- Keysight technologies
- Sauce Labs
- Parasoft
- Company Profiles
- Analyst Views
- Future Outlook of the Market