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市場調查報告書
商品編碼
2030097
機器人流程自動化市場 - 全球產業規模、佔有率、趨勢、機會、預測(按組件、部署方式、企業規模、最終用戶、地區和競爭對手分類),2021-2031 年Robotic Process Automation Market - Global Industry Size, Share, Trends, Opportunity, and Forecast. Segmented By Component (Software, Service ), By Deployment, By Enterprise Size, By End User, By Region & Competition, 2021-2031F |
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全球機器人流程自動化 (RPA) 市場預計將從 2025 年的 237.8 億美元成長到 2031 年的 674.6 億美元,複合年成長率為 18.98%。
RPA(機器人流程自動化)利用軟體機器人模擬人類在數位環境中的操作,並自動執行常規的、基於規則的任務,從而提高營運效率。這一成長主要源自於各行各業對降低成本和簡化工作流程日益成長的需求。此外,雲端運算、機器學習和人工智慧 (AI) 等最尖端科技的應用,也顯著增強了 RPA 的能力,並為更高級的自動化工具鋪平了道路。
| 市場概覽 | |
|---|---|
| 預測期 | 2027-2031 |
| 市場規模:2025年 | 237.8億美元 |
| 市場規模:2031年 | 674.6億美元 |
| 複合年成長率:2026-2031年 | 18.98% |
| 成長最快的細分市場 | 雲 |
| 最大的市場 | 北美洲 |
根據智慧資訊管理協會 (AIIM) 於 2024 年下半年發布的數據,僅有 3% 的公司能夠在其業務部門成功實施基於 RPA 和 AI 或機器學習的高級自動化。阻礙市場成長的主要障礙仍然是 RPA 工具與傳統基礎設施整合的困難。這些老舊系統通常缺乏現代 API,需要大規模製化和巨額投資才能正常運作。
數位轉型的快速推進是全球機器人流程自動化 (RPA) 市場的主要推動力,企業越來越重視營運的全面現代化。為了提高敏捷性、最佳化資源配置並推動整個組織的創新,各組織正被迫採用自動化工具。這種策略演變使 RPA 成為數位化成熟的關鍵要素。 TTMS 於 2025 年 6 月發布的一份報告指出,94% 的企業正在進行數位化舉措,凸顯了企業在營運現代化方面所做的巨大努力。透過利用 RPA,這些組織可以最佳化工作流程,確保技術投資帶來實際效益,並從單純的技術應用轉向真正的流程改善。
推動市場發展的另一個關鍵因素是人工智慧 (AI) 和機器學習與 RPA 的日益整合,這使得自動化遠遠超越了單純的規則執行。這種融合使 RPA 系統能夠處理非結構化資料、做出認知決策,並在無需持續人工干預的情況下適應不斷變化的業務需求。根據 Omdena 於 2025 年 7 月發布的報告,實施機器學習賦能的 RPA 的企業,其任務完成速度提高了 60%,錯誤率降低了 86.7%,充分展現了這種協同效應帶來的顯著營運效益。這項技術飛躍正在推動市場大幅擴張,UiPath 預計到 2026 年 1 月,其年度續約收入 (ARR) 將年增 11%,達到 18.53 億美元,便印證了這一點。
全球機器人流程自動化 (RPA) 市場成長面臨的主要障礙之一是 RPA 工具與舊有系統整合流程的複雜性。許多公司仍然依賴過時的 IT 框架,這些框架通常缺乏現代應用程式介面 (API)。這種介面的缺失迫使公司投入大量資金並進行大規模的客製化,以使 RPA 機器人能夠與其傳統軟體架構有效溝通。
系統整合需要如此精細的客製化編程,這推高了成本,延長了部署週期,並增加了複雜性,直接阻礙了RPA解決方案的廣泛應用和擴充性。這些整合障礙會顯著延遲RPA解決方案的採用,導致尋求自動化的企業預期投資報酬率(ROI)降低。 Utthunga引述產業分析師的估計凸顯了這個問題:到2026年,全球製造商每年將因計畫外停機損失500億美元。罪魁禍首是老化的基礎設施,無法與現代數位平台無縫連接。這表明,依賴過時的系統是自動化能力最大化的直接財務障礙。
產業的一個關鍵趨勢是從傳統的本地部署環境向基於雲端的機器人流程自動化 (RPA) 和 RPA 即服務 (RaaS) 框架的顯著轉變。這種轉變為企業提供了更大的柔軟性和擴充性,降低了IT基礎設施需求,並使更多類型的公司能夠自動化。雲端模式能夠加快部署速度並簡化軟體更新,使企業能夠快速回應不斷變化的業務需求,同時簡化與其他雲端原生系統的整合。受這些平台強勁需求的推動,截至 2026 年 1 月,UiPath 的年度續約收入 (ARR) 年增 11%,達到 18.53 億美元。
此外,低程式碼和無程式碼平台的興起使自動化更加普及,RPA 的應用範圍也從訓練有素的 IT 專業人員擴展到了更廣泛的使用者群體。這些使用者友善的平台讓被稱為「公民開發人員」的普通業務負責人能夠使用簡單的拖放工具和視覺化介面來建立和實施自己的自動化工作流程。這種方法加速了部門自動化的發展,並在整個組織中培養了創新文化。微軟 Power Platform 就是這些使用者友善工具日益普及的例證。預計到 2025 年 5 月,Power Platform 的月有效用戶將達到 5,600 萬,其中使用低程式碼功能解決業務難題並減輕 IT 部門負擔的用戶數量將同比成長 27%。
The Global Robotic Process Automation (RPA) Market is anticipated to expand from USD 23.78 billion in 2025 to USD 67.46 billion by 2031, reflecting a compound annual growth rate of 18.98%. RPA utilizes software bots to emulate human actions within digital frameworks, automating routine, rule-based duties to improve operational efficiency. This expansion is largely fueled by a growing need across various sectors to cut costs and streamline workflows. Additionally, incorporating cutting-edge technologies like cloud computing, machine learning, and Artificial Intelligence greatly enhances RPA capabilities, paving the way for highly advanced automation tools.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 23.78 Billion |
| Market Size 2031 | USD 67.46 Billion |
| CAGR 2026-2031 | 18.98% |
| Fastest Growing Segment | Cloud |
| Largest Market | North America |
Data released in late 2024 by the Association for Intelligent Information Management (AIIM) revealed that only 3% of businesses had successfully achieved advanced automation using RPA alongside AI or machine learning within their operational units. A major hurdle slowing market growth continues to be the difficulty of merging RPA tools with older legacy infrastructures. These outdated systems typically lack contemporary APIs, necessitating heavy customization and significant financial backing to function correctly.
Market Driver
The rapid push toward digital transformation acts as a major catalyst for the Global Robotic Process Automation Market, with businesses increasingly focusing on thoroughly modernizing their operations. Organizations are compelled to adopt automation tools to boost agility, optimize resources, and encourage innovation throughout their corporate structures. This strategic evolution makes RPA a vital element for reaching digital maturity. A June 2025 report by TTMS noted that 94% of enterprises were engaged in digital initiatives, highlighting a massive commitment to operational modernization. Utilizing RPA helps these organizations refine workflows and ensures that tech investments deliver real-world advantages, transitioning from simple tech deployment to genuine process enhancement.
Another key factor propelling the market is the growing fusion of Artificial Intelligence and Machine Learning with RPA, which elevates automation far beyond simple rule-based activities. This combination empowers RPA systems to handle unstructured data, make cognitive choices, and adjust to changing business needs without continuous human oversight. According to a July 2025 Omdena report, businesses using machine learning-enabled RPA saw a 60% increase in task completion speed and an 86.7% drop in errors, illustrating the massive operational benefits of this synergy. This technological leap drives broad market expansion, evidenced by UiPath's Annualized Renewal Run-rate (ARR) rising 11% year-over-year to hit $1.853 billion by January 2026.
Market Challenge
A major obstacle hindering the growth of the Global Robotic Process Automation (RPA) Market is the complicated process of integrating RPA tools with older legacy systems. Numerous businesses still rely on antiquated IT frameworks that generally do not feature modern Application Programming Interfaces (APIs). Because these interfaces are missing, companies must commit to heavy financial investments and extensive custom modifications to allow RPA bots to communicate properly with their older software architectures.
Requiring such in-depth custom programming for system integration drives up costs, lengthens deployment schedules, and adds layers of complexity, directly slowing the widespread acceptance and scalability of RPA solutions. These integration barriers can drastically postpone rollouts, thereby reducing the projected return on investment for businesses aiming to automate. Highlighting this issue, industrial analysts referenced by Utthunga estimated that by 2026, global manufacturers will experience $50 billion in annual losses from unplanned downtime, largely driven by aging infrastructures incapable of connecting seamlessly with modern digital platforms. This emphasizes how a reliance on outdated systems acts as a direct financial roadblock to maximizing automation capabilities.
Market Trends
A major deployment trend in the industry is the prominent shift away from traditional on-premise setups toward cloud-based Robotic Process Automation and RPA-as-a-Service frameworks. This evolution provides businesses with greater flexibility, improved scalability, and lower IT infrastructure requirements, making automation viable for a more diverse array of companies. Cloud models enable faster rollouts and easier software updates, empowering organizations to swiftly adjust to shifting business demands while simplifying integration with other cloud-native systems. Demonstrating the strong demand for such platforms, UiPath's Annualized Renewal Run-rate (ARR) climbed by 11% year-over-year to achieve $1.853 billion by January 2026.
Additionally, the rise of low-code and no-code platforms is democratizing automation, moving RPA access far beyond highly trained IT professionals. These user-friendly platforms allow everyday business personnel, often called citizen developers, to build and implement their own automated workflows utilizing simple drag-and-drop tools and visual interfaces. This approach speeds up the creation of departmental automations and fosters a culture of innovation across entire organizations. The growing popularity of these accessible tools is evident in Microsoft's Power Platform, which reported 56 million monthly active users by May 2025, marking a 27% annual increase in people utilizing low-code features to solve operational issues and reduce the strain on dedicated IT departments.
Report Scope
In this report, the Global Robotic Process Automation (RPA) 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 Robotic Process Automation (RPA) Market.
Global Robotic Process Automation (RPA) 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: