# Automation Testing Market Gains Momentum at 14.64% CAGR as AI and DevOps Redefine Software Quality

- Link: https://www.thailand-business-news.com/pr-news/automation-testing-market-gains-momentum-at-14-64-cagr-as-ai-and-devops-redefine-software-quality
- Published: 2026-09-15T19:51:00+07:00
- Author: MarketersMEDIA Newswire

_The global Automation Testing Market is projected to grow USD 152,797.38 million
by 2035, driven by DevOps, AI-assisted testing, and continuous software delivery._

Pune, Maharashtra, India, September 15, 2026 /MarketersMEDIA/ — Industry Research
Biz has released its latest analysis of the global Automation Testing Market, projecting
growth from USD 44,669.89 million in 2026 to USD 152,797.38 million by 2035, representing
a compound annual growth rate (CAGR) of 14.64%. The research attributes this growth
to accelerating DevOps adoption, shorter software release cycles, expanding cloud
application development, and rising enterprise investment in AI-assisted quality
engineering.

**For detailed segmentation, regional breakdowns, and competitive analysis, visit@
[https://www.industryresearch.biz/market-reports/automation-testing-market-103372](https://www.industryresearch.biz/market-reports/automation-testing-market-103372)**

**Why Automation Testing Is Becoming Essential Infrastructure for Modern Software
Development**

There was a time when software testing largely happened after developers had finished
building an application. A product moved from development to a dedicated quality-
assurance team, defects were identified, fixes were made, and the release eventually
reached customers.

That model becomes difficult to maintain when software changes several times in 
a single day.

Modern development teams increasingly operate through continuous integration and
continuous delivery environments, where code is created, tested and deployed in 
increasingly short cycles. Approximately 67% of digitally mature organizations are
expanding automated testing coverage because manual validation alone cannot keep
pace with the frequency and complexity of modern software releases.

That is turning automation testing from a productivity tool into a fundamental part
of software development infrastructure.

**The Release Cycle Changed — and Testing Had to Change With It**

The shift toward DevOps has changed where testing happens in the development lifecycle.
Rather than waiting until a product is almost ready for release, approximately 61%
of organizations operating mature DevOps environments now execute automated validation
at multiple development stages.

Testing can begin as soon as developers modify code.

Automated regression, API, browser and integration tests can run continuously, allowing
defects to be identified before they spread into production environments. This becomes
especially important as applications increasingly operate across cloud infrastructure,
mobile devices, browsers, databases and external services at the same time.

Generative AI is adding another layer of pressure. Approximately 61% of quality 
engineering teams are experiencing increased testing requirements as developers 
generate and modify code more rapidly. Faster software creation means more workflows,
configurations and edge cases must be validated before release.

**AI Is Starting to Rewrite Automation Testing Itself**

Traditional automation frameworks rely heavily on predefined scripts. Those scripts
work efficiently until an application interface, workflow or supporting system changes.

Approximately 30% of automation initiatives experience delays or reduced effectiveness
because unstable scripts, fragmented tools, legacy applications and integration 
complexity create ongoing maintenance requirements.

AI-assisted testing is beginning to change that model.

Approximately 39% of advanced automation environments now incorporate intelligent
capabilities such as natural-language test generation, self-healing selectors, automated
test prioritization and AI-assisted root-cause analysis.

Instead of simply executing fixed instructions, newer testing systems can identify
application changes and automatically adjust parts of the testing process. Approximately
54% of enterprise quality teams are now evaluating technologies capable of automatically
generating, executing and maintaining test scenarios with reduced human intervention.

**Web Testing Leads, but Mobile and Desktop Remain Critical**

The type-based market breakdown shows how testing demand is distributed across modern
software environments.

Web testing represents approximately 44% of market demand, making it the largest
segment. Browser-based enterprise applications, cloud software, customer portals
and e-commerce systems require continuous validation across multiple browsers, operating
systems and screen configurations.

Mobile testing contributes approximately 33%. Around 58% of enterprise mobile applications
require validation across multiple operating-system versions and device profiles,
strengthening demand for automated device testing, emulators, visual validation 
and cloud-based testing environments.

Desktop testing accounts for the remaining 23%. Although desktop software receives
less attention than web and mobile platforms, it continues to support critical operations
across manufacturing, engineering, financial services, utilities and defense.

Together, Web at 44%, Mobile at 33% and Desktop at 23% represent 100% of type-based
market demand.

**Where Application Demand Is Concentrated**

Telecom and IT represents the largest application segment at approximately 23% of
market demand. Around 76% of mature Telecom and IT development teams already use
automated testing within continuous integration workflows as cloud services, network
applications and enterprise platforms require frequent software updates.

Banking, Financial Services and Insurance accounts for approximately 17%, supported
by digital banking, payment processing and regulatory applications. Retail represents
12%, Automotive contributes 11%, and Healthcare and Life Sciences accounts for around
10%.

Defense and Aerospace represents approximately 8%, Manufacturing contributes 7%,
while Logistics and Transportation and Energy and Utilities each account for 6%.

The complete application distribution therefore totals 100%, reflecting the growing
role of automated quality assurance across nearly every software-intensive industry.

**The Hardest Problem May Be Maintaining the Automation**

Creating automated tests is only part of the challenge.

Approximately 35% of organizations report difficulty finding professionals with 
expertise across software development, testing frameworks, DevOps and quality engineering.
Large automation programs require teams capable of maintaining test architecture,
managing environments and integrating execution into increasingly complicated development
pipelines.

Application complexity is also increasing. Approximately 46% of enterprise applications
depend on multiple external components or microservices, meaning one customer transaction
may involve authentication services, APIs, databases, payment infrastructure and
third-party providers.

Testing data adds another difficulty. Approximately 40% of complex testing programs
require synthetic, masked or specially prepared datasets because sensitive production
information cannot always be copied safely into development environments.

These challenges are strengthening demand for cloud testing, test-data management,
service virtualization and intelligent maintenance tools.

**Testing AI Applications Is Becoming a Market Opportunity of Its Own**

The growth of AI-enabled software is creating an entirely new testing requirement.

Approximately 48% of enterprise software modernization initiatives now involve AI-
assisted or AI-integrated functionality. Unlike conventional software, AI applications
may generate probabilistic or context-dependent outputs that cannot always be evaluated
through simple pass-or-fail rules.

Organizations increasingly need automated methods for evaluating model behavior,
generated responses, data quality and autonomous agent actions. That creates a significant
opportunity for testing platforms capable of validating AI-driven applications across
banking, healthcare, aerospace, enterprise technology and other environments where
software errors can create substantial operational consequences.

**North America Leads, While Asia-Pacific Expands Rapidly**

North America represents approximately 38% of global Automation Testing Market demand,
making it the largest regional market. Mature DevOps adoption, extensive enterprise
software development and early use of AI-assisted testing platforms continue to 
support regional leadership. Approximately 71% of digitally advanced North American
enterprises already use automated testing across more than one application environment.

Asia-Pacific accounts for approximately 27% of market demand, supported by rapid
digital transformation across India, China, Japan, South Korea, Australia and Southeast
Asia.

**Competition Is Moving Toward Intelligent Testing Platforms**

Competition is increasingly shifting toward AI-assisted and consolidated testing
environments. Approximately 27% of competitive product initiatives now emphasize
generative AI, autonomous testing agents, low-code automation, self-healing functionality
or unified quality engineering platforms.

Major participants include IBM, SmartBear Software, TestPlant, Cognizant Technology,
CA Technologies, Micro Focus, Hewlett-Packard, Wipro Ltd., Capgemini, Ranorex, Parasoft
and Cigniti Technologies.

Approximately 52% of enterprise buyers increasingly prefer platforms that reduce
dependence on multiple disconnected testing tools, encouraging vendors to combine
web, mobile, desktop, API, functional and regression testing within more unified
environments.

That shift points toward a broader change in software quality engineering: automation
testing is moving from scripts that simply execute predefined actions toward intelligent
systems capable of generating tests, adapting to application changes and operating
continuously throughout the development lifecycle.

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**Source** : [Automation Testing Market Gains Momentum at 14.64% CAGR as AI and DevOps Redefine Software Quality](https://news.marketersmedia.com/automation-testing-market-gains-momentum-at-1464percent-cagr-as-ai-and-devops-redefine-software-quality/89203374?rand=206000)

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