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市場調查報告書
商品編碼
1914535
智慧過程自動化市場-全球產業規模、佔有率、趨勢、機會與預測:按組件、部署、應用、組織規模、技術、產業垂直領域、地區和競爭格局預測,2021-2031年Intelligent Process Automation, Market - Global Industry Size, Share, Trends, Opportunity and Forecast, Segmented By Component, By Deployment, By Application, By Organization Size, By Technology, By Industry Vertical, By Region & Competition, 2021-2031F |
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全球智慧過程自動化 (IPA) 市場預計將從 2025 年的 166.8 億美元成長到 2031 年的 388.2 億美元,複合年成長率為 15.12%。
IPA(整合流程自動化)將機器人流程自動化 (RPA) 與人工智慧 (AI) 功能(例如機器學習)結合,以簡化複雜的端到端企業流程。這一市場成長的主要驅動力是企業迫切需要提高營運效率、大幅降低成本並消除重複性工作流程中的人為錯誤。此外,企業正在利用 IPA 加速其數位轉型 (DX) 計劃,使員工能夠專注於策略性、高價值的活動,而不是手動處理資料。
| 市場概覽 | |
|---|---|
| 預測期 | 2027-2031 |
| 市場規模:2025年 | 166.8億美元 |
| 市場規模:2031年 | 388.2億美元 |
| 複合年成長率:2026-2031年 | 15.12% |
| 成長最快的細分市場 | 雲 |
| 最大的市場 | 北美洲 |
然而,由於缺乏能夠設計和監管這些自動化系統的合格人員,市場面臨巨大的障礙。這種人才短缺往往會減緩自動化技術的普及,並使自動化與現有傳統基礎設施的整合變得更加困難。根據NASSCOM在2024年發布的報告顯示,約90%的企業計畫增加在數位技術方面的支出,其中大部分將用於智慧自動化。儘管投資意願強勁,但克服人才和技術障礙對於有效擴展這些項目至關重要。
快速的企業數位轉型 (DX) 是全球智慧流程自動化 (IPA) 市場的關鍵驅動力。為了確保敏捷性和韌性,企業正從簡單的任務自動化轉向全面的流程協作。這種轉變彌合了新舊技術之間的鴻溝,推動了能夠處理跨越不同舊有系統和現代雲端基礎設施的複雜工作流程的平台的普及。企業的優先事項正從單純降低成本轉向獲得策略營運柔軟性,這需要能夠提供全面可視性的解決方案。事實上,根據 Camunda 於 2024 年 2 月發布的報告,96% 的 IT 和業務領導者認為端到端流程自動化對於實現其業務目標至關重要。
此外,先進人工智慧和機器學習技術(尤其是生成式人工智慧)的融合,正透過促進非結構化資料處理的自動化,推動市場成長。與標準機器人流程自動化不同,人工智慧增強型系統能夠進行自然語言處理、情緒分析和認知決策,從而拓展了自動化任務的範圍。 Workato 於 2024 年 2 月發布的一份報告指出,生成式人工智慧在自動化工作流程中的應用年增了 400%。這種綜合效應使企業能夠從數據中挖掘更大價值,並更快地回應市場變化。 IBM 指出,到 2024 年,59% 的正在考慮人工智慧的 IT 專業人員計劃加快自動化投資,以滿足這一需求。
熟練專業人才的短缺是全球智慧流程自動化 (IPA) 市場成長的一大障礙。實施 IPA 系統需要同時具備機器人流程自動化 (RPA) 和機器學習、自然語言處理等高階人工智慧領域專業知識的人才。對於企業而言,要找到既擁有這些綜合專業知識,又具備將這些工具整合到日益複雜的舊有系統中的技術能力的人才變得越來越困難。因此,許多公司難以將自動化舉措推進到試點階段之外,導致實施延遲和投資報酬率低。
人才短缺直接限制了市場的擴張潛力,因為企業往往缺乏有效管理和維護其自動化環境的內部能力。 CompTIA 的一項調查顯示,81% 的人力資源負責人表示,到 2025 年,他們的組織將缺乏成功所需的人才和技能,並特別指出人工智慧是亟需培訓的關鍵領域。日益擴大的技能差距迫使企業推遲雄心勃勃的數位轉型策略,導致整個 IPA 產業的擴張速度放緩。
向自主代理AI工作流程的轉變標誌著從靜態腳本到能夠自主執行任務的動態系統的關鍵性轉變。與遵循僵化規則的傳統機器人流程自動化不同,代理AI利用認知架構規劃、確定優先順序並執行多步驟工作流程,最大限度地減少人工干預。這一趨勢正在改變市場格局,使數位員工能夠應對模糊情況並適應即時變化,從而有效地彌合簡單任務完成和複雜流程編排之間的差距。 MuleSoft在2025年1月發布的報告中重點闡述了這項轉變的促進因素,報告顯示,93%的IT領導者計劃在兩年內部署自主代理以增強創新和工作流程效率。
此外,人機協作框架的興起滿足了營運和文化上的需求,旨在將數位化勞動力與人類團隊融合而非取代。這一趨勢的重點在於建立自動化系統,使其作為「數位化同事」增強人類能力,同時保留人類對複雜決策和特殊情況的監督。透過促進員工與自動化系統之間的協作關係,企業可以在保留人類判斷力的同時,減少員工倦怠並擴大營運規模。這種模式正變得越來越受歡迎。微軟在2025年4月發布的報告指出,82%的企業領導者預計在未來12至18個月內利用數位化勞動力擴展員工隊伍。
The Global Intelligent Process Automation (IPA) Market is projected to expand from USD 16.68 Billion in 2025 to USD 38.82 Billion by 2031, registering a CAGR of 15.12%. IPA merges Robotic Process Automation with artificial intelligence capabilities, such as machine learning, to streamline intricate, end-to-end corporate processes. The market is primarily propelled by the urgent demand for businesses to enhance operational efficiency, significantly lower expenses, and curtail human errors in repetitive workflows. Additionally, companies are utilizing IPA to expedite digital transformation initiatives, enabling employees to focus on strategic, high-value activities instead of manual data handling.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 16.68 Billion |
| Market Size 2031 | USD 38.82 Billion |
| CAGR 2026-2031 | 15.12% |
| Fastest Growing Segment | Cloud |
| Largest Market | North America |
Nevertheless, the market encounters a major hurdle due to a scarcity of qualified professionals equipped to design and oversee these automated systems. This lack of talent often retards implementation and makes integrating automation with older legacy infrastructure more difficult. As reported by NASSCOM in 2024, approximately 90% of enterprises intended to boost their expenditure on digital technologies, with a significant portion targeting intelligent automation. Although the desire to invest is high, the effective scaling of these initiatives relies heavily on surmounting these workforce and technical barriers.
Market Driver
The rapid advancement of enterprise digital transformation efforts serves as a key catalyst for the Global Intelligent Process Automation (IPA) Market. Businesses are increasingly moving away from isolated task automation toward comprehensive process orchestration to guarantee agility and resilience. This transition fosters the adoption of platforms capable of handling complicated workflows across disparate legacy systems and modern cloud infrastructures, bridging the divide between old and new technology. The priority has shifted from mere cost reduction to attaining strategic operational flexibility, requiring solutions that offer complete visibility; indeed, a February 2024 report by Camunda revealed that 96% of IT and business leaders consider end-to-end process automation vital for meeting business objectives.
Furthermore, the incorporation of sophisticated AI and machine learning, especially generative AI, drives market growth by facilitating the automation of unstructured data processing. In contrast to standard robotic process automation, AI-enhanced systems can process natural language, assess sentiment, and execute cognitive judgments, expanding the range of automated tasks. A February 2024 Workato report highlighted a 400% surge in Generative AI usage within automation workflows year-over-year. This synergy enables firms to derive greater value from data and react more quickly to market shifts, with IBM noting in 2024 that 59% of IT professionals exploring AI plan to hasten their automation investments to meet these demands.
Market Challenge
The dearth of skilled experts constitutes a significant barrier to the growth of the Global Intelligent Process Automation (IPA) market. Deploying IPA systems demands a workforce skilled in both Robotic Process Automation (RPA) and advanced AI fields like machine learning and natural language processing. Locating candidates with this combined expertise, who also have the technical acumen to weave these tools into complicated legacy systems, is becoming increasingly challenging for businesses. As a result, many enterprises find it difficult to advance automation initiatives past the pilot stage, resulting in delayed deployments and reduced return on investment.
This lack of talent directly limits the market's ability to scale, as companies frequently lack the internal capacity to efficiently manage and sustain these automated environments. According to CompTIA, in 2025, 81% of HR professionals indicated that their organizations lacked the necessary talent and skills for success, specifically pointing to artificial intelligence as a critical area requiring immediate training. This expanding skills gap compels firms to postpone ambitious digital transformation strategies, thereby slowing the overall expansion rate of the IPA sector.
Market Trends
The transition toward Autonomous Agentic AI Workflows marks a crucial shift from static scripting to dynamic systems that execute tasks independently. Unlike conventional robotic process automation that adheres to strict rules, agentic AI utilizes cognitive architectures to plan, rank, and carry out multi-stage workflows with little human input. This trend transforms the market by allowing companies to utilize digital workers capable of managing ambiguity and adapting to real-time variables, effectively bridging the gap between simple task completion and complex process orchestration. The push for this shift is highlighted by MuleSoft's January 2025 report, where 93% of IT leaders expressed plans to implement autonomous agents within two years to enhance innovation and workflows.
Additionally, the rise of Human-in-the-Loop Collaborative Frameworks addresses the operational and cultural need to integrate digital labor with human teams rather than replacing them. This trend focuses on creating automation systems that act as "digital colleagues," enhancing human abilities while reserving human oversight for complex decisions or edge cases. By cultivating a cooperative relationship between staff and automated systems, companies can reduce burnout and expand operations while retaining human judgment. This model is becoming increasingly popular, with Microsoft's April 2025 report noting that 82% of leaders anticipate using digital labor to boost workforce capacity in the coming 12 to 18 months.
Report Scope
In this report, the Global Intelligent Process Automation (IPA) 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 Intelligent Process Automation (IPA) Market.
Global Intelligent Process Automation (IPA) 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: