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mabl

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Market category: Test Automation Software

mabl provides AI-driven software testing and quality assurance capabilities for engineering and quality teams.

Overview

mabl helps engineering and quality teams verify software quality throughout development and release. Its AI-driven testing capabilities create, run, analyze, and maintain automated tests across application experiences, while providing actionable quality insights and traceable evidence. The organization supports teams in expanding test coverage, reducing manual maintenance, and delivering reliable software at the pace of modern development.

Mission statement

Help engineering and quality teams keep pace with software development by continuously verifying application quality and enabling confident releases.

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What we offer

mabl platform

Accelerate innovation and ensure quality with mabl's AI-native test automation for web, mobile, and APIs.

mabl.com →

Who do we serve

Growth Stage Technology Companies

North America and Europe growth-stage software companies needing fast, scalable automated testing.

Geography: North America and Europe

How we help: AI-powered testing accelerates releases for growth stage software teams by reducing maintenance and enabling CI/CD integration.

Mid Market Software Development And QA Leaders

North America and Europe mid-market software teams scaling testing and automation.

Geography: North America and Europe

How we help: AI-powered testing platform that scales automation and accelerates CI/CD-enabled releases for mid-market teams.

Enterprise Quality Assurance And Release Management

Global enterprises focusing on North America and Europe needing centralized QA governance.

Geography: Global, with North America and Europe focus

How we help: Governance-ready testing platform delivering auditable, scalable, end-to-end testing for large enterprises with AI-assisted automation.

Regulated Industry Quality Assurance Teams

North America and Europe regulated industries needing compliant, auditable testing.

Geography: North America and Europe

How we help: Governance-ready testing platform delivering auditable, compliant testing at scale for regulated industries.

Market segments

Market size by segment

Growth potential (CAGR)

End-to-end testing

6 Billion USD12.5% CAGR

Capabilities that create, execute, and analyze unified UI, mobile, and API test journeys to validate customer experiences and release readiness.

Products: mabl platform

AI-driven test automation

8.81 Billion USD22.3% CAGR

Capabilities that use AI to autonomously generate tests, auto-heal brittle tests, and produce GenAI-backed assertions to reduce maintenance and accelerate coverage.

Products: mabl platform

API and integration testing

2.32 Billion USD20.9% CAGR

Capabilities to design, execute, and orchestrate API and integration tests (including Postman import) and integrate them with UI journeys for comprehensive validation.

Products: mabl platform

Low-code test automation

2.5 Billion USD20% CAGR

Low-code authoring and data-driven test generation that enable non-technical stakeholders to create, maintain, and run tests with code extensibility for advanced scenarios.

Products: mabl platform

Accessibility and performance testing

3 Billion USD10% CAGR

Automated accessibility audits and performance benchmarking integrated into CI/CD pipelines to verify compliance, responsiveness, and user experience under load.

Products: mabl platform

More information about our offering

mabl platform

mabl is an AI-native end-to-end test automation platform that enables automated testing across web, mobile, and APIs. It combines autonomous test creation with GenAI assertions, end-to-end coverage across web, mobile, and API tests, AI auto-healing, cross-browser execution, data-driven testing, API testing, performance testing, accessibility testing, and low-code testing. It integrates with Jira, Postman, GitHub, GitLab, Jenkins, Slack, and Microsoft Teams, and includes MCP Server for centralized test orchestration.

Category: Test Automation Software

  • Reduces Test Maintenance Time
    By autonomously identifying and fixing issues in tests, AI auto-healing significantly cuts down on the time QA engineers spend maintaining tests, ensuring reliability with minimal effort.
  • Speeds Up Software Delivery
    The AI-native architecture underpins mabl's capabilities, allowing teams to streamline their testing efforts and push updates faster while maintaining high quality.
  • Delivers Holistic Testing
    This unified approach ensures that testing covers the entire customer journey, validating the functional and non-functional aspects of the application.
  • Ensures Comprehensive Test Coverage
    With seamless integration of API and UI tests, mabl ensures end-to-end coverage of user journeys, enhancing overall application quality.
  • Simplifies Test Creation
    This feature dramatically reduces the time required for test setup by automating the creation process, allowing teams to focus on higher-level objectives.
  • Improves Test Validation
    With GenAI, testers can easily validate intricate behaviors using natural expressions, making automation more accessible for non-technical users.
  • Enhances Browser Coverage
    Removing the need for browser-specific code enables easier implementation of testing strategies across multiple platforms, ensuring consistent application performance.
  • Increases Test Scenario Coverage
    By easily parameterizing tests with different datasets, teams can verify application behavior across a wider range of conditions and inputs.
  • Empowers Non-technical Users
    The low-code approach breaks down barriers for business users and QAs, allowing them to create tests without needing extensive programming knowledge.

Sources

Methodology and sourcing behind the figures and links shown above.

End-to-end testing

Estimates use published software-testing market figures in the search results as the primary basis. Sources cite a broad global software testing market in the ~$50–61B range with ~13% CAGR; automated test equipment (adjacent testing infrastructure) is smaller (~$8.1B). End-to-end (E2E) testing is a subset of the overall software testing and test-automation market (covers unified UI, mobile, API journeys). Assuming E2E tooling/platforms represent roughly 10–12% of the overall software testing market yields an estimated E2E market of ~$5.0–7.3B; the mid-point was rounded to $6.0B. Growth potential is set near the software-testing market CAGR (sources 13.2–13.5%), adjusted slightly to 12.5% to reflect variation between software testing and adjacent hardware ATE growth rates.

AI-driven test automation

Primary estimate uses MarketsandMarkets' AI Test Automation projection (USD 8.81B in 2025; CAGR 22.3% to 2032). Supplementary industry reports show smaller AI-specific estimates (SphericalInsights: USD 1.02B in 2025, CAGR 18.2%) and larger adjacent automation-testing markets (Grand View Research, MRFR) indicating strong demand and broader market tailwinds, supporting a high-growth outlook for the AI-driven test automation segment.

API and integration testing

Primary estimate uses an API testing market report (SNS Insider / GlobeNewswire) that values the global API testing market at USD 2.32 billion in 2024 with a projected CAGR of 20.9% to 2032. This is corroborated by Data Bridge Market Research (2022 base, 20.40% CAGR to 2030) and Grand View Research (Testing-as-a-Service adjacent market: $4.5B in 2023, 14.5% CAGR through 2030). Given the search results focus on API testing (the relevant segment for API and integration testing), the SNS Insider figure is taken as the primary market-size anchor and CAGR for growth potential.

Low-code test automation

Estimated low-code test automation market (2025) by applying a small share of the broader automation testing market estimates in the search results. FutureMarketInsights and Grand View Research value the overall automation testing market at roughly $33–37B in 2025 (CAGRs ~12.9–14.3%). Low-code/no-code testing is an emerging, high-growth subsegment (democratization, AI-driven test generation). Assuming a 5–8% share of the overall automation testing market yields ~$1.8–3.0B; midpoint used = $2.5B. Growth potential is set above the overall market because of accelerating AI and low-code adoption; using AI-in-testing benchmarks (≈18% CAGR) and market dynamics, the low-code test automation CAGR is estimated at ~20%.

Accessibility and performance testing

Estimate combines explicit accessibility-testing market figures (~USD 0.48B in 2021; ~USD 0.84B by 2030, CAGR 4–6.5% in sources) with performance-testing market growth signals (multi‑billion increases cited to 2033 and strong subsegment CAGRs). Accessibility market baseline from FactualMarketResearch and Straits Research/TestSigma; performance-testing growth and subsegment figures from KiwiQA (Verified Market Reports). I blended the smaller accessibility market (~0.5–0.8B) with an estimated current performance-testing market and near-term expansion (several billion) to arrive at a combined market ≈ USD 3.0B and a blended CAGR ≈ 10% (accessibility low‑single digits plus faster performance subsegment growth yield mid‑teens to low‑double‑digit blended growth).

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