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市场调查报告书
商品编码
1934293
自动化测试市场 - 全球产业规模、份额、趋势、机会及预测(按组件、测试类型、介面、垂直产业、地区和竞争格局划分,2021-2031 年)Automation Testing Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component (Solution, and Services), By Testing Type, By Interface, By Vertical, By Region & Competition, 2021-2031F |
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全球自动化测试市场预计将从 2025 年的 199.7 亿美元成长到 2031 年的 513.6 亿美元,复合年增长率为 17.05%。
自动化测试是指利用专门的软体工具对应用程式执行预先定义的测试,并在无需人工干预的情况下检验结果是否符合预期。这一增长主要源于对更快软体交付的需求以及敏捷和DevOps调查方法的广泛应用,而这些方法都需要频繁且可靠的测试。云端原生运算基金会(CNCF)报告称,到2024年,60%的组织将为其云端原生应用程式实施持续整合和持续交付平台,这凸显了自动化在帮助企业应对快速发布需求、维持高品质标准方面所发挥的关键作用。
| 市场概览 | |
|---|---|
| 预测期 | 2027-2031 |
| 市场规模:2025年 | 199.7亿美元 |
| 市场规模:2031年 | 513.6亿美元 |
| 复合年增长率:2026-2031年 | 17.05% |
| 成长最快的细分市场 | 服务 |
| 最大的市场 | 北美洲 |
建造和维护复杂的自动化框架需要深厚的技术专长,而熟练专业人员的短缺是市场发展的一大障碍。这项需求对许多组织而言构成了巨大的进入门槛,限制了它们充分利用自动化技术的能力。因此,人才短缺往往导致测试解决方案的使用率不足,迫使企业依赖速度较慢的手动流程,从而限制了其自动化倡议的扩充性。
人工智慧 (AI) 和机器学习 (ML) 的整合正在从根本上改变全球自动化测试市场,解决了传统测试维护和执行中存在的关键低效率问题。 AI 驱动的工具正被越来越多地用于自动生成测试案例、集中预测缺陷发生,以及实现能够自动适应程式码变更的自癒脚本,从而显着减少人工干预的需求。这项技术进步使企业能够在不影响软体可靠性的前提下保持快速发布计划,而这正逐渐成为现代企业的标准要求。 Katalon 于 2025 年 4 月发布的《2025 年软体品质报告》指出,61% 的品质保证 (QA) 团队正在采用 AI 驱动的测试来自动化日常任务,并将资源重新分配到策略品质目标上。
同时,为满足分散式开发团队对可扩展环境的需求,对基于云端的测试基础设施的需求日益增长,这是市场成长的关键驱动力。云端平台使企业能够在各种设备和浏览器配置上运行测试,而无需承担高昂的本地硬体成本,从而确保在全球用户群中实现无缝检验。根据 Perforce 于 2025 年 2 月发布的《2025 年持续测试现况报告》,57% 的受访者正在利用云端解决方案扩展其测试环境。这种转变也符合更广大的架构趋势。根据 Postman 于 2025 年 10 月发布的《2025 年 API 现况报告》,82% 的组织已采用 API 优先的方法,这使得强大的云端自动化对于检验复杂的数位生态系统至关重要。
全球自动化测试市场面临的一大障碍是缺乏具备设计和管理复杂自动化测试框架所需技术专长的合格人才。与传统的手动测试不同,现代自动化测试需要精通程式语言,并对持续整合环境有深刻的理解。企业往往难以找到能够弥合测试和开发之间鸿沟的人才,这严重阻碍了自动化技术的应用。因此,企业要不是停滞不前,就是无法扩展规模,被迫依赖低效率的手动方法,而这些方法与DevOps所需的速度背道而驰。
近期行业数据印证了这一人才短缺问题:据 CompTIA 称,到 2025 年,37% 的科技公司将发现其在软体和应用开发职能方面存在最显着的技能缺口。快速发布週期需求与技术熟练的测试人员供应之间的这种不匹配,直接抑制了市场成长潜力,限制了自动化工具的成功应用和投资回报。
无脚本和低程式码自动化工具的兴起,正推动测试的民主化,使业务分析师和非技术相关人员能够积极参与品质保证。这些平台无需高级程式设计知识,而是利用视觉化介面和拖放功能来建立复杂的测试场景,从而加快测试创建速度并减少对专业自动化工程师的依赖。这种转变既解决了技术资源短缺的问题,也确保测试与业务逻辑和快速交付需求更加紧密地结合。根据 Mendix 于 2025 年 3 月发布的报告《低程式码视角》,80% 的公司表示低程式码工具提高了其技术团队的生产力,这证实了这些平台在加速开发週期方面的价值。
同时,QAOps(品质运维)和DevSecOps管线的采用,正透过将品质和安全关卡直接融入持续整合工作流程,从根本上改变软体交付生命週期。这一趋势超越了简单的自动化,发展出一种综合模型,其中合规性检查、安全扫描和功能检验会在每次提交时自动触发,从而确保缺陷的即时检测和修復。透过打破开发、维运和品质保证团队之间的壁垒,企业能够实现持续发布就绪,从而支援超敏捷的交付速度。根据GitLab于2025年12月发布的《2025年全球DevSecOps报告》,85%的受访者预测,到2027年,合规性将直接建构到程式码中并自动执行,凸显了产业向完全整合管治的快速转变。
The Global Automation Testing Market is projected to expand from USD 19.97 Billion in 2025 to USD 51.36 Billion by 2031, reflecting a CAGR of 17.05%. Automation testing involves utilizing specialized software tools to run predefined tests on applications and verify outcomes against expectations without human involvement. This growth is largely fueled by the necessity for accelerated software delivery and the widespread adoption of Agile and DevOps methodologies, which require frequent and dependable testing. In 2024, the Cloud Native Computing Foundation reported that 60% of organizations have implemented continuous integration and continuous delivery platforms for cloud-native applications, underscoring the vital role automation plays in enabling companies to uphold high quality standards amid rapid release demands.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 19.97 Billion |
| Market Size 2031 | USD 51.36 Billion |
| CAGR 2026-2031 | 17.05% |
| Fastest Growing Segment | Services |
| Largest Market | North America |
Detailed technical expertise is required to build and sustain complex automation frameworks, making the scarcity of skilled professionals a major obstacle impeding market progress. This requirement creates a significant entry barrier for many organizations, limiting their capacity to fully exploit automation technologies. Consequently, this talent gap frequently leads to the underutilization of testing solutions, compelling companies to rely on slower manual processes that restrict the potential scalability of their automation initiatives.
Market Driver
The incorporation of Artificial Intelligence and Machine Learning is fundamentally transforming the Global Automation Testing Market by resolving key inefficiencies associated with traditional test maintenance and execution. AI-powered tools are increasingly deployed to generate test cases, forecast defect hotspots, and implement self-healing scripts that automatically adjust to code changes, significantly reducing the need for manual intervention. This technological advancement enables enterprises to sustain high-velocity release schedules without sacrificing software reliability, a capability that is becoming a standard requirement for modern business. In April 2025, Katalon's '2025 State of Software Quality Report' noted that 61% of QA teams are adopting AI-driven testing to automate routine tasks and redirect resources toward strategic quality goals.
Simultaneously, the rising demand for Cloud-Based Testing Infrastructures serves as a primary engine for market growth, driven by the need for scalable environments that accommodate distributed development teams. Cloud platforms allow enterprises to execute tests across a vast array of device and browser configurations without the prohibitive costs of on-premise hardware, ensuring seamless validation for global user bases. Perforce's February 2025 '2025 State of Continuous Testing Report' indicates that 57% of respondents are using cloud solutions to scale testing globally. This shift supports broader architectural trends, as evidenced by Postman's October 2025 '2025 State of the API Report', which found that 82% of organizations have embraced an API-first approach, necessitating robust, cloud-enabled automation to verify complex digital ecosystems.
Market Challenge
The primary hurdle facing the Global Automation Testing Market is the acute shortage of qualified professionals possessing the technical expertise necessary to design and manage complex test automation frameworks. Unlike traditional manual testing, modern automation demands advanced proficiency in programming languages and a thorough understanding of continuous integration environments. Organizations often struggle to find talent capable of bridging the gap between testing and development, creating a significant bottleneck in adopting automation technologies. As a result, businesses effectively stall their automation efforts or fail to scale them, leading to a reliance on inefficient manual methods that contradict the speed required by DevOps.
Recent industry data substantiates this workforce limitation. According to CompTIA, in 2025, 37% of technology firms identified software and application development functions as having the most critical skills gap. This mismatch between the demand for accelerated release cycles and the supply of technically proficient testing personnel directly restricts the market's growth potential by limiting the successful implementation and return on investment of automation tools.
Market Trends
The rise of scriptless and low-code automation tools is democratizing the testing landscape by allowing business analysts and non-technical stakeholders to actively participate in quality assurance. Instead of requiring deep programming expertise, these platforms utilize visual interfaces and drag-and-drop features to construct complex test scenarios, thereby accelerating test creation and reducing dependency on specialized automation engineers. This shift addresses the scarcity of technical resources while ensuring that testing aligns more closely with business logic and rapid delivery requirements. According to Mendix's March 2025 'The Low-Code Perspective' report, 80% of enterprises state that low-code tools improve technical team productivity, reinforcing the value of these platforms in accelerating development cycles.
At the same time, the adoption of QAOps and DevSecOps pipelines is fundamentally altering the software delivery lifecycle by embedding quality and security gates directly into continuous integration workflows. This trend moves beyond simple automated execution to a holistic model where compliance checks, security scans, and functional validation are triggered automatically at every commit, ensuring that defects are identified and remediated instantly. By dismantling silos between development, operations, and quality teams, organizations are achieving a continuous state of release readiness that supports hyper-agile delivery speeds. GitLab's December 2025 '2025 Global DevSecOps Report' reveals that 85% of respondents predict compliance will be built directly into code and automatically applied by 2027, highlighting the industry's rapid transition toward fully integrated governance.
Report Scope
In this report, the Global Automation Testing Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Automation Testing Market.
Global Automation Testing Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: