Software Testing Market Size and Share
Software Testing Market Analysis by Mordor Intelligence
The software testing market is currently valued at USD 48.17 billion in 2025 and is forecast to reach USD 93.94 billion by 2030, advancing at a 14.29% CAGR. Rising enterprise investment in digital transformation, the shift from manual to automated quality-engineering workflows, and the rapid infusion of AI into test management underpin this expansion. The transition to cloud-native development is catalyzing demand for Testing-as-a-Service and elastic test environments, while continuous integration pipelines shorten release cycles and elevate quality expectations. Heightened cybersecurity threats are moving security testing from a niche add-on to a board-level mandate, and new compliance frameworks are widening the addressable pool of regulated applications. Venture-backed platform providers continue to raise large funding rounds, enabling aggressive R&D spending on low-code, self-healing tools that reduce maintenance overhead and widen access to non-technical users.
Key Report Takeaways
- By testing platform, automation held 54.50% of software testing market share in 2024; AI-augmented testing is projected to expand at an 18.20% CAGR through 2030.
- By testing type, functional testing contributed 51.60% revenue in 2024, while security testing is set to grow at 18.90% CAGR to 2030.
- By deployment model, on-premise deployments retained 60.50% share of the software testing market size in 2024, yet cloud testing is advancing at 13.10% CAGR.
- By service model, managed testing services captured 45.60% of software testing market size in 2024; Testing-as-a-Service leads growth at 15.50% CAGR.
- By end-user industry, BFSI led with 40.80% share in 2024; Healthcare and Life Sciences is the fastest-growing vertical at 12.60% CAGR.
- By geography, North America accounted for 37.50% revenue in 2024; Asia-Pacific records the highest regional CAGR at 14.30% through 2030.
Global Software Testing Market Trends and Insights
Drivers Impact Analysis
Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
---|---|---|---|
Enterprise digital-first and DevOps adoption | +3.2% | Global with North America and Europe leading | Medium term (2-4 years) |
Rising mobile and IoT application volumes | +2.8% | Asia-Pacific core with global spill-over | Long term (≥ 4 years) |
Accelerated uptake of test-automation and AI | +4.1% | Global and concentrated in developed markets | Short term (≤ 2 years) |
Cloud migration boosting TaaS | +2.5% | Global with regulatory variations in the EU | Medium term (2-4 years) |
AI safety and ethics compliance mandates | +1.8% | North America and the EU | Long term (≥ 4 years) |
Sustainability-linked green QA demand | +0.9% | Europe leading and expanding globally | Long term (≥ 4 years) |
Source: Mordor Intelligence
Enterprise Digital-First and DevOps Adoption
Three in four technology teams now embed DevOps practices, integrating continuous testing to accelerate release velocity and reduce defect leakage. Modern pipelines rely on codeless authoring and real-time dashboards, enabling product owners to track quality without deep technical expertise. Enterprises that embed quality gates at every commit report 40% faster release cycles and measurably higher customer satisfaction levels. Demand for traceable, audit-ready evidence is especially high in finance and life sciences, where regulators scrutinize every code promotion. Vendors that package DevOps enablement with embedded security testing gain preference among risk-averse buyers.
Accelerated Uptake of Test-Automation and AI-Driven QA
AI-powered engines now generate test cases, auto-heal broken scripts, and flag anomalies before they reach production. Enterprises deploying self-healing frameworks have cut manual rework by up to 40% and boosted test-suite stability by double-digit margins. Natural-language authoring lowers the bar for participation, allowing business analysts to create executable tests that sync automatically to changing user stories. Product roadmaps increasingly spotlight generative copilots that recommend optimal coverage and prioritization, translating directly into shorter regression windows and higher release confidence.
Cloud Migration Boosting Testing-as-a-Service (TaaS)
As workloads shift to the cloud, paying only for the compute minutes used during a test run becomes attractive. Leading TaaS providers deliver scalable device farms, containerized execution grids, and usage-based billing that can cut quality-engineering costs by up to 70% relative to fixed on-premise labs. European buyers remain cautious due to data-sovereignty rules, prompting the launch of sovereign zones that confine data within regional borders. Hybrid models prevail in regulated sectors, keeping sensitive datasets on-premise while bursting performance tests into the cloud at peak demand.
Rising Mobile and IoT Application Volumes
Smartphones and connected devices multiply code paths that must be validated across operating systems, chipsets, and network conditions. Mobile test clouds now execute parallel sessions across thousands of device-browser permutations, ensuring responsive user experiences even under 3G bandwidth. IoT initiatives add layers of complexity with sensor interoperability, edge processing, and real-time analytics that demand scenario-based validation. Enterprises are responding with dedicated device labs and crowd-sourced field testing to capture real-world usage variances that lab setups miss, especially across Asia-Pacific’s heterogeneous telecom landscape.
Restraints Impact Analysis
Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
---|---|---|---|
Global shortage of skilled QA engineers | -2.1% | Global and acute in North America and Europe | Short term (≤ 2 years) |
Free/open-source frameworks squeeze margins | -1.8% | Global, impacting service providers | Medium term (2-4 years) |
Low-code/no-code platforms limit manual QA | -1.3% | Global and focused in developed markets | Medium term (2-4 years) |
Data-sovereignty rules hamper cloud QA | -0.9% | Europe primarily with growing adoption | Long term (≥ 4 years) |
Source: Mordor Intelligence
Global Shortage of Skilled QA Engineers
Salary inflation for automation talent inflates project budgets and elongates hiring cycles. Senior automation engineers now command six-figure packages, with specialized AI-testing roles trending even higher. The gap is most pronounced in North America and Western Europe, where demand outstrips the supply of engineers versed in container orchestration, microservices testing, and security compliance. Vendors partly mitigate shortages through global delivery centers in India and Eastern Europe, but time-zone overlaps and domain knowledge transfer remain persistent hurdles.
Free/Open-Source Frameworks Squeezing Service Margins
Selenium and other open frameworks eliminate license fees, enabling enterprises to internalize basic functional testing. Service providers face pricing pressure as clients expect lower TandM rates when tooling costs disappear. To defend margins, vendors bundle migration accelerators, AI-powered script maintenance, and domain-specific accelerators that deliver measurable time savings. Pure service resale of proprietary platforms without differentiated value-adds is no longer viable, forcing a pivot toward advisory, verticalized accelerators, and outcome-based SLAs.
Segment Analysis
By Testing Platform: AI-Augmented Solutions Drive Automation Evolution
Automation testing captured 54.50% revenue in 2024, underscoring its entrenched role in minimizing repetitive manual effort across the software testing market. AI-augmented platforms, the fastest-expanding cohort at 18.20% CAGR, deliver self-healing object recognition, autonomous coverage optimization, and predictive defect analytics that shorten release cycles while boosting reliability. Enterprises adopting generative test design report maintenance savings up to 60% as scripts auto-update against UI changes. In contrast, manual testing remains essential for exploratory scenarios, but its relative contribution continues to decline as low-code authoring opens automation to business stakeholders. The software testing market continues to shift capital budgets toward AI tooling that promises faster payback periods and stronger ROI signals.
Generative models embedded in commercial suites now convert natural-language user stories into executable steps, allowing product owners to validate requirements without coding expertise. This democratization expands the user base for quality engineering, pushing vendors to refine conversation-centric interfaces and domain-aware ontologies. Organizations that embrace AI accelerators typically fast-track continuous testing maturity, raising baseline quality metrics across enterprise portfolios.
Note: Segment shares of all individual segments available upon report purchase
By Testing Type: Security Testing Surge Reflects Cybersecurity Imperatives
Functional validation still underpins 51.60% of demand as it guarantees core business logic integrity throughout the software testing market. Yet security testing records the strongest momentum at 18.90% CAGR, mirroring headline-grabbing breaches and intensifying regulatory scrutiny. DevSecOps workflows position static and dynamic scans inside CI pipelines, providing rapid feedback and enforcing shift-left security principles. Platform providers integrate vulnerability databases and exploit libraries to automate penetration scenarios that once required specialized ethical hackers.
Organizations in finance and healthcare allocate growing portions of quality-engineering budgets to continuous threat modeling, compliance attestation, and red-team simulations. Automated risk scoring prioritizes remediation in sprint planning, ensuring vulnerabilities with maximal business impact receive immediate attention. Parallel growth in API-first architectures and microservices drives heavier focus on contract testing and zero-trust validation, further widening the scope for security-centric assurance services.
By Deployment Model: Cloud Adoption Accelerates Despite On-Premise Dominance
On-premise environments still account for 60.50% of market revenue in 2024, anchored by data-sensitive verticals that must retain tight control over test artifacts and production replicas. Even so, cloud testing exhibits a 13.10% CAGR as organizations pursue elastic scaling and consumption-based pricing to align quality spend with development velocity. The software testing market size for hybrid models grows quickly because enterprises adopt split environments that keep confidential data on-premise while offloading compute-intensive performance tests to public clouds.
European buyers insist on data residency assurances, prompting major cloud providers to open regional sovereign zones and cryptographic key-management services tailored to GDPR compliance. Continuous delivery teams appreciate automated environment provisioning, removing wait states once associated with hardware procurement. Vendors differentiate through one-click environment blueprints, policy-as-code enforcement, and integrated spend analytics that optimize cost versus coverage.
By Service Model: Testing-as-a-Service Disrupts Traditional Managed Services
Managed testing retains 45.60% of software testing market size in 2024 by supplying end-to-end governance, domain experts, and mature delivery frameworks. Yet Testing-as-a-Service rises fastest at 15.50% CAGR as clients gravitate toward metered engagements that provide specialist capabilities without long-term headcount commitments. TaaS providers leverage secure VPN tunnels, browser farms, and containerized execution grids to spin up projects within hours, compressing test lead times and reducing capital lock-in.
Outcome-based contracts gain traction, tying vendor revenue to measurable quality metrics such as escaped defect ratios or release frequency. Providers weave AI analytics into dashboards to demonstrate incremental value, reinforcing stickiness even when tooling licenses are open source. Crowdsourced testing supplements formal suites with real-world feedback across languages, devices, and geographies, especially valuable for consumer apps targeting global audiences.

Note: Segment shares of all individual segments available upon report purchase
By End-User Industry: Healthcare Transformation Drives Fastest Growth
BFSI maintained 40.80% revenue in 2024, reflecting mission-critical transaction loads, regulatory oversight, and heavy automation spend. Meanwhile, Healthcare and Life Sciences grows fastest at 12.60% CAGR as electronic health records, telemedicine, and Software-as-a-Medical-Device applications raise the quality bar. FDA guidance compels rigorous traceability, documentation, and validation of every code change, positioning AI-driven test intelligence as a compliance accelerator.
Pharmaceutical firms adopting automated validation report release cycle reductions of 84% for critical CRM processes while upholding GxP mandates. Telecom operators invest heavily in 5G core and edge mobility tests to guarantee latency and throughput KPIs. Manufacturing embraces IoT validation for smart-factory deployments, verifying sensor accuracy, real-time data streams, and predictive-maintenance analytics. Retail e-commerce channels allocate more budget to performance and accessibility testing to avert revenue-sapping slowdowns during promotional peaks.
Geography Analysis
North America led the software testing market with 37.50% revenue in 2024, enabled by early adoption of DevOps, high enterprise digital spending, and a deep ecosystem of platform providers and venture capital. Regional service integrators leverage mature agile practices and AI accelerators to deliver measurable quality gains for Fortune 500 firms, driving repeat contractual growth. The United States also records healthy government technology modernization funding, expanding the federal demand pool for automated security validation.
Asia-Pacific is the fastest-growing region at 14.30% CAGR through 2030. China’s large-scale digital infrastructure investments and mushrooming fintech ecosystem spur domestic demand for scalable test automation, while Southeast Asian startups embrace cloud-first QA to compress time-to-market. Regional players deepen vertical expertise in banking, telecom, and e-commerce to differentiate from global incumbents.
Europe faces headwinds from fragmented data-privacy laws yet benefits from proactive sustainability and green-IT mandates that open new test categories. Sovereign cloud options from hyperscalers reduce compliance friction, allowing regulated industries to experiment with cloud performance labs. The Middle East and Africa increase quality-assurance spend as governments pursue smart-city and e-government programs, whereas Latin American enterprises leverage nearshore testing centers to capture cost savings without risking communication gaps. The software testing market continues to globalize, evidenced by vendor expansions into Dubai, Mexico City, and Johannesburg that localize talent and language capabilities[1]QA Financial, “Tricentis Opens Dubai Office,” qa-financial.com.

Competitive Landscape
The software testing market is moderately fragmented, with no vendor controlling a dominant revenue slice. Global system integrators such as Accenture, TCS, Cognizant, and Capgemini bundle quality-engineering into multimillion-dollar transformation programs, relying on distributed delivery centers to optimize cost and domain alignment. Tool specialists like Tricentis, SmartBear, and UiPath translate deep product innovation into premium ARR valuations, drawing investors seeking exposure to AI-native testing IP. Mid-tier players are consolidating to gain scale, illustrated by Coforge acquiring Cigniti for USD 464.95 million to fuse digital engineering with AI assurance capabilities [2]Coforge Investor Presentation 2024, “Acquisition of Cigniti Technologies,” coforge.com.
Strategic funding rounds reinforce the innovation pipeline. Tricentis raised USD 1.33 billion, pushing its valuation to USD 4.5 billion and earmarking capital for R&D on autonomous testing and low-code governance features[3]Tricentis Editorial Team, “Funding Announcement and Product Roadmap,” tricentis.com. SmartBear’s QMetry acquisition adds AI-driven management that broadens its existing performance and API portfolio, strengthening cross-sell potential. Tool vendors increasingly partner with cloud providers to embed testing inside DevOps toolchains, locking in platform stickiness through robust API ecosystems and marketplace extensions.
Emerging white-space opportunities include sustainability-oriented green QA that benchmarks energy consumption, quantum software validation to verify qubit logic, and ethical-AI test suites that diagnose bias across machine-learning pipelines. Patent filings show a pivot to self-healing algorithms, intent-driven test generation, and predictive quality analytics that anticipate defect clusters earlier in the lifecycle. Vendors with deep domain accelerators and outcome-based commercial constructs position themselves to capture share as enterprises pursue higher automation maturity.
Software Testing Industry Leaders
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Cognizant Technology Solutions Corporation
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Accenture plc
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Capgemini SE
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Tata Consultancy Services Ltd.
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IBM Corporation
- *Disclaimer: Major Players sorted in no particular order

Recent Industry Developments
- March 2025: UiPath launched UiPath Test Cloud, applying advanced AI to elevate tester productivity.
- February 2025: BrowserStack introduced its comprehensive Test Platform, enabling AI-augmented end-to-end testing at scale.
- December 2024: SmartBear acquired QMetry to expand AI capabilities in test management.
- November 2024: Tricentis released qTest Copilot, a generative-AI assistant that simplifies test-case generation.
Global Software Testing Market Report Scope
Software testing is the process of assessing the functionality of a software program. The process checks for errors and gaps and whether the outcome of the application matches desired expectations before the software is installed and goes live.
The software testing market is segmented by platform (manual testing, automation testing), by type (unit testing, functional testing, integration testing, performance testing, other types), end-user verticals (BFSI, IT and telecom, healthcare, manufacturing, retail, government, other end-user verticals), geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The market sizes and forecasts are provided in terms of value (USD) for all the above segments.
By Testing Platform | Manual Testing | |||
Automation Testing | ||||
AI-Augmented / Autonomous Testing | ||||
By Testing Type | Unit Testing | |||
Functional / System Testing | ||||
Integration Testing | ||||
Performance / Load Testing | ||||
Security / Pen-Testing | ||||
Regression and Others | ||||
By Deployment Model | On-premise | |||
Cloud-based | ||||
Hybrid | ||||
By Service Model | Consulting and Advisory | |||
Managed Testing Services | ||||
Testing-as-a-Service (TaaS) | ||||
Crowdsourced Testing | ||||
Training and Certification | ||||
By End-user Industry | BFSI | |||
IT and Telecom | ||||
Healthcare and Life Sciences | ||||
Manufacturing | ||||
Retail and E-commerce | ||||
Government and Public Sector | ||||
Media and Entertainment | ||||
Others | ||||
By Geography | North America | United States | ||
Canada | ||||
Mexico | ||||
South America | Brazil | |||
Argentina | ||||
Rest of South America | ||||
Europe | Germany | |||
United Kingdom | ||||
France | ||||
Italy | ||||
Spain | ||||
Russia | ||||
Rest of Europe | ||||
Asia-Pacific | China | |||
Japan | ||||
India | ||||
South Korea | ||||
Australia and New Zealand | ||||
Rest of Asia-Pacific | ||||
Middle East and Africa | Middle East | Saudi Arabia | ||
United Arab Emirates | ||||
Turkey | ||||
Rest of Middle East | ||||
Africa | South Africa | |||
Nigeria | ||||
Egypt | ||||
Rest of Africa |
Manual Testing |
Automation Testing |
AI-Augmented / Autonomous Testing |
Unit Testing |
Functional / System Testing |
Integration Testing |
Performance / Load Testing |
Security / Pen-Testing |
Regression and Others |
On-premise |
Cloud-based |
Hybrid |
Consulting and Advisory |
Managed Testing Services |
Testing-as-a-Service (TaaS) |
Crowdsourced Testing |
Training and Certification |
BFSI |
IT and Telecom |
Healthcare and Life Sciences |
Manufacturing |
Retail and E-commerce |
Government and Public Sector |
Media and Entertainment |
Others |
North America | United States | ||
Canada | |||
Mexico | |||
South America | Brazil | ||
Argentina | |||
Rest of South America | |||
Europe | Germany | ||
United Kingdom | |||
France | |||
Italy | |||
Spain | |||
Russia | |||
Rest of Europe | |||
Asia-Pacific | China | ||
Japan | |||
India | |||
South Korea | |||
Australia and New Zealand | |||
Rest of Asia-Pacific | |||
Middle East and Africa | Middle East | Saudi Arabia | |
United Arab Emirates | |||
Turkey | |||
Rest of Middle East | |||
Africa | South Africa | ||
Nigeria | |||
Egypt | |||
Rest of Africa |
Key Questions Answered in the Report
What is the current value of the software testing market?
The market is valued at USD 48.17 billion in 2025.
How fast is the software testing market expected to grow?
It is projected to post a 14.29% CAGR and reach USD 93.94 billion by 2030.
Which segment is expanding the quickest within the software testing market?
AI-augmented testing platforms show the highest growth at an 18.20% CAGR through 2030.
Why is security testing gaining so much traction?
Escalating cyber threats and stricter compliance mandates push security testing toward an 18.90% CAGR, the highest among testing types.
Which region is the fastest-growing for software testing services?
Asia-Pacific leads regional growth with a 14.30% CAGR, buoyed by India’s testing hubs and China’s digital investments.
How does Testing-as-a-Service differ from traditional managed services?
TaaS offers on-demand, pay-per-use testing environments and expertise, delivering up to 70% cost savings versus fixed, on-premise managed engagements.
Page last updated on: June 23, 2025