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市場調查報告書
商品編碼
1934293
自動化測試市場 - 全球產業規模、佔有率、趨勢、機會及預測(按組件、測試類型、介面、垂直產業、地區和競爭格局分類,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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全球自動化測試市場預計將從 2025 年的 199.7 億美元成長到 2031 年的 513.6 億美元,複合年成長率為 17.05%。
自動化測試是指利用專門的軟體工具對應用程式執行預先定義的測試,並在無需人工干預的情況下檢驗結果是否符合預期。這一成長主要源於對更快軟體交付的需求以及敏捷和DevOps調查方法的廣泛應用,而這些方法都需要頻繁且可靠的測試。雲端原生運算基金會(CNCF)報告稱,到2024年,60%的組織將為其雲端原生應用程式實施持續整合和持續交付平台,這凸顯了自動化在幫助企業應對快速發布需求、維持高品質標準方面所發揮的關鍵作用。
| 市場概覽 | |
|---|---|
| 預測期 | 2027-2031 |
| 市場規模:2025年 | 199.7億美元 |
| 市場規模:2031年 | 513.6億美元 |
| 複合年成長率:2026-2031年 | 17.05% |
| 成長最快的細分市場 | 服務 |
| 最大的市場 | 北美洲 |
建造和維護複雜的自動化框架需要深厚的技術專長,而熟練專業人員的短缺是市場發展的一大障礙。這項需求對許多組織而言構成了巨大的進入門檻,限制了它們充分利用自動化技術的能力。因此,人才短缺往往導致測試解決方案的使用率不足,迫使企業依賴速度較慢的手動流程,從而限制了其自動化舉措的擴充性。
人工智慧 (AI) 和機器學習 (ML) 的整合正在從根本上改變全球自動化測試市場,解決了傳統測試維護和執行中存在的關鍵低效率問題。 AI 驅動的工具正被擴大用於自動生成測試案例、集中預測缺陷發生,以及實現能夠自動適應程式碼變更的自癒腳本,從而顯著減少人工干預的需求。這項技術進步使企業能夠在不影響軟體可靠性的前提下保持快速發布計劃,而這正逐漸成為現代企業的標準要求。 Katalon 於 2025 年 4 月發布的《2025 年軟體品質報告》指出,61% 的品質保證 (QA) 團隊正在採用 AI 驅動的測試來自動化日常任務,並將資源重新分配到策略品質目標上。
同時,為滿足分散式開發團隊對可擴展環境的需求,對基於雲端的測試基礎設施的需求日益成長,這是市場成長的關鍵驅動力。雲端平台使企業能夠在各種設備和瀏覽器配置上運行測試,而無需承擔高昂的本地硬體成本,從而確保在全球用戶群中實現無縫檢驗。根據 Perforce 於 2025 年 2 月發布的《2025 年持續測試現況報告》,57% 的受訪者正在利用雲端解決方案擴展其測試環境。這種轉變也符合更廣大的架構趨勢。根據 Postman 於 2025 年 10 月發布的《2025 年 API 現況報告》,82% 的組織已採用 API 優先的方法,這使得強大的雲端自動化對於檢驗複雜的數位生態系統至關重要。
全球自動化測試市場面臨的一大障礙是缺乏具備設計和管理複雜自動化測試框架所需技術專長的合格人才。與傳統的手動測試不同,現代自動化測試需要精通程式語言,並對持續整合環境有深刻的理解。企業往往難以找到能夠彌合測試和開發之間鴻溝的人才,這嚴重阻礙了自動化技術的應用。因此,企業要不是停滯不前,就是無法擴展規模,被迫依賴低效率的手動方法,而這些方法與DevOps所需的速度背道而馳。
近期行業數據印證了這一人才短缺問題:據 CompTIA 稱,到 2025 年,37% 的科技公司將發現其在軟體和應用開發職能方面存在最顯著的技能缺口。快速發布週期需求與技術熟練的測試人員供應之間的這種不匹配,直接抑制了市場成長潛力,限制了自動化工具的成功應用和投資回報。
無腳本和低程式碼自動化工具的興起,正推動測試的民主化,使業務分析師和非技術相關人員能夠積極參與品質保證。這些平台無需高級程式設計知識,而是利用視覺化介面和拖放功能來建立複雜的測試場景,從而加快測試創建速度並減少對專業自動化工程師的依賴。這種轉變既解決了技術資源短缺的問題,也確保測試與業務邏輯和快速交付需求更加緊密地結合。根據 Mendix 於 2025 年 3 月發布的報告《低程式碼視角》,80% 的公司表示低程式碼工具提高了其技術團隊的生產力,這證實了這些平台在加速開發週期方面的價值。
同時,QAOps(品質運維)和DevSecOps管線的採用,正透過將品質和安全關卡直接融入持續整合工作流程,從根本上改變軟體交付生命週期。這一趨勢超越了簡單的自動化,發展出一種綜合模型,其中合規性檢查、安全掃描和功能檢驗會在每次提交時自動觸發,從而確保缺陷的即時檢測和修復。透過打破開發、維運和品質保證團隊之間的壁壘,企業能夠實現持續發布就緒,從而支援超敏捷的交付速度。根據GitLab於2025年12月發布的《2025年全球DevSecOps報告》,85%的受訪者預測,到2027年,合規性將直接建構到程式碼中並自動執行,凸顯了產業向完全整合管治的快速轉變。
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: