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市場調查報告書
商品編碼
1889218
機器人流程自動化 (RPA) 市場預測至 2032 年:按組件、操作類型、部署模式、組織規模、最終用戶和地區分類的全球分析Robotics Process Automation (RPA) Market Forecasts to 2032 - Global Analysis By Component (Software and Services), Operation Type, Deployment Mode, Organization Size, End User and By Geography |
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根據 Stratistics MRC 的一項研究,預計到 2025 年,全球機器人流程自動化 (RPA) 市場規模將達到 55.2 億美元,到 2032 年將達到 778.1 億美元,預測期內複合年成長率為 45.9%。
機器人流程自動化 (RPA) 指的是旨在自動化執行常規、結構化業務任務的軟體機器人。這些數位員工在應用程式中模擬人類行為,執行諸如表單填寫、交易處理和資料管理等功能。透過最大限度地減少人工參與重複性任務,RPA 有助於提高生產力、減少錯誤並確保業務順暢運作。企業正在利用 RPA 來最佳化流程、提高準確性並實現工作流程自動化,而無需對系統進行大規模更改。
根據世界銀行的報告,截至2020年,銀行每年在合規管理營運方面的支出約為2,700億美元。為了降低這些高昂的合規管理成本,對RPA軟體的需求正在顯著成長。
更高的擴充性和柔軟性
自動化工具使企業能夠在不增加人手或人工干預的情況下簡化重複性任務。快速擴展機器人的能力有助於企業在瞬息萬變的商業環境中保持競爭力。 RPA平台還能輕鬆與現有企業系統整合,實現無縫工作流程擴展。隨著數位化工作的日益普及,企業依賴RPA來維持跨職能的柔軟性。這種對適應性的日益重視正在顯著加速RPA在全球範圍內的應用。
熟練的RPA人才短缺
缺乏專業知識往往會導致部署週期延長,並增加對外部服務供應商的依賴。許多組織難以組建能夠維護複雜自動化生態系統的內部團隊。人工智慧驅動的RPA技術的快速發展進一步擴大了技能差距,並需要持續的培訓和認證。配置錯誤的機器人和管理不善的工作流程經常導致營運效率下降。這種持續的人才短缺持續阻礙RPA解決方案的大規模應用。
混合自動化模型的開發
企業正在採用這些模型來實現基於規則和基於判斷的任務自動化。這種演變使組織能夠從非結構化資料和複雜的決策流程中挖掘更大的價值。供應商正在發布整合平台,透過認知能力支援端到端自動化。混合配置也有助於提高自動化準確性並擴大應用程式場景的覆蓋範圍。隨著企業推動全企業範圍的數位轉型,混合自動化正成為關鍵的成長路徑。
安全漏洞和資料風險
安全性低下的機器人程式可能導致未授權存取和資料濫用。自動化規模的擴大擴大了攻擊面,增加了資料外洩和基於身分的威脅的風險。在高度自動化的環境中,遵守 GDPR、HIPAA 和印度資料保護與資料保護法 (DPDP Act) 等法規變得更加複雜。憑證管理不善和缺乏審核控制會加劇漏洞。如果沒有健全的安全框架,企業將面臨巨大的營運和聲譽風險。
疫情加速了RPA(機器人流程自動化)的普及,因為企業需要在遠距辦公和勞動力中斷的情況下維持生產力。各組織紛紛實現大量工作的自動化,以最大限度地減少對人工流程的依賴。醫療保健、銀行和物流業迅速採用RPA來應對激增的工作量。這場危機凸顯了自動化在增強韌性、維持業務連續性和最佳化成本方面的價值。此後,適用於遠距辦公的RPA架構已成為後疫情時代數位化策略的重要組成部分。
預計在預測期內,基於規則的自動化細分市場將佔據最大的市場佔有率。
由於規則型自動化能夠在無需認知智慧的情況下,為日常業務流程提供一致的效能,預計在預測期內,規則型自動化將佔據最大的市場佔有率。企業傾向於採用規則型自動化來處理資料輸入、發票處理和合規報告等任務。規則型機器人的技術複雜度低,因此無論大中小型企業都能快速採用。這些工具還能最大限度地減少錯誤,並提高跨部門的營運效率。隨著企業對其舊有系統數位化,規則型自動化為可擴展的自動化提供了可靠的基礎。
預計在預測期內,醫療和製藥業將實現最高的複合年成長率。
由於在滿足嚴格監管標準的同時,對勞動密集型流程自動化的需求日益成長,預計醫療保健和製藥業在預測期內將實現最高成長率。該行業面臨沉重的行政負擔,因此自動化對於減輕工作量和提高服務品質至關重要。 RPA(機器人流程自動化)有助於醫療服務提供者最大限度地減少處理延遲,並改善患者體驗。製藥公司正在藥物警戒、合規性追蹤和研究文件等領域受益於自動化。對數位醫療基礎設施的不斷增加投資正在進一步加速自動化技術的應用。
由於北美擁有先進的技術生態系統和早期數位化應用,預計在預測期內將佔據最大的市場佔有率。該地區匯集了許多主要的RPA供應商、顧問公司和創新中心。銀行、保險、零售和醫療保健行業的公司正在積極採用自動化解決方案,而完善的法規結構和強大的網路安全措施也為大規模應用提供了支援。各組織正在大力投資人工智慧賦能的RPA,以變革其後勤部門和麵向客戶的業務。
由於數位化加快和企業自動化舉措不斷擴展,預計亞太地區在預測期內將實現最高的複合年成長率。印度、中國、日本和新加坡等國家正加速採用智慧自動化技術。人工智慧、雲端運算和IT現代化領域的投資不斷成長,正在提升各行業對RPA(機器人流程自動化)的準備程度。中小企業和大型企業都在採用自動化技術來提高生產力並降低成本。政府主導的數位轉型計劃也進一步推動了市場成長。
According to Stratistics MRC, the Global Robotics Process Automation (RPA) Market is accounted for $5.52 billion in 2025 and is expected to reach $77.81 billion by 2032 growing at a CAGR of 45.9% during the forecast period. RPA, or Robotics Process Automation, refers to software bots designed to handle routine and structured business tasks automatically. These digital workers imitate human actions within applications to execute functions like form filling, transaction handling, and data management. By minimizing human involvement in repetitive tasks, RPA boosts productivity, reduces mistakes, and supports smoother operations. Organizations use RPA to optimize processes, improve precision, and automate workflows without requiring major system changes.
According to the World Bank Organization Report, in 2020, banks spent around USD 270 billion yearly on compliance management operations. To reduce such high cost of compliance management, the RPA software demand has increased substantially.
Increased scalability & flexibility
Automation tools allow enterprises to streamline repetitive tasks without expanding workforce size or increasing manual intervention. The ability to rapidly scale bots up or down helps companies stays competitive in dynamic business environments. RPA platforms also integrate easily with existing enterprise systems, enabling seamless workflow expansion. As digital operations increase, businesses rely on RPA to maintain flexibility across departments. This rising focus on adaptability is significantly accelerating RPA adoption worldwide.
Lack of skilled RPA talent
Limited expertise often results in slow deployment timelines and increased dependency on external service providers. Many organizations struggle to build in-house teams capable of maintaining complex automation ecosystems. Rapid advancements in AI-driven RPA further widen the skills gap, requiring constant training and certification. Misconfigured bots and poorly managed workflows frequently lead to operational inefficiencies. This ongoing talent deficit continues to hinder the large-scale adoption of RPA solutions.
Development of hybrid automation models
Enterprises are adopting these models to automate both rule-based and judgment-driven tasks. This evolution is enabling organizations to extract greater value from unstructured data and complex decision-making processes. Vendors are launching integrated platforms that support end-to-end automation through cognitive capabilities. Hybrid setups are also helping businesses achieve higher automation accuracy and broader use-case coverage. As companies aim for enterprise-wide digital transformation, hybrid automation presents a major growth avenue.
Security vulnerabilities & data risk
Unsecured bots can create openings for unauthorized access and data misuse. As automation scales, the attack surface expands, increasing the risk of breaches and identity-based threats. Compliance with regulations such as GDPR, HIPAA, and India's DPDP Act becomes more complex in highly automated environments. Poor credential management and lack of audit controls amplify vulnerability levels. Without strong security frameworks, enterprises face substantial operational and reputational dangers.
The pandemic accelerated RPA adoption as businesses sought to maintain productivity amid remote work and workforce disruptions. Organizations automated high-volume manual tasks to minimize dependency on human-driven processes. Healthcare, banking, and logistics sectors rapidly implemented RPA to support surge-related workloads. The crisis highlighted the value of automation for resilience, continuity, and cost optimization. Remote-friendly RPA architectures have since become essential components of post-pandemic digital strategies.
The rule-based automation segment is expected to be the largest during the forecast period
The rule-based automation segment is expected to account for the largest market share during the forecast period, due to its ability to deliver consistent performance across routine business processes without requiring cognitive intelligence. Organizations prefer this segment for tasks such as data entry, invoice processing, and compliance reporting. The lower technical complexity associated with rule-based bots supports faster adoption in both large enterprises and SMEs. These tools also ensure minimal errors, enhancing operational efficiency across departments. As companies digitize legacy systems, rule-based automation provides a reliable foundation for scalable automation.
The healthcare & pharmaceuticals segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the healthcare & pharmaceuticals segment is predicted to witness the highest growth rate, due to its rising need to automate labor-intensive processes while meeting stringent regulatory standards. The industry experiences high administrative burden, making automation essential for reducing workload and improving service quality. RPA helps healthcare providers minimize processing delays and enhance patient experience. Pharmaceutical companies benefit from automation in areas such as pharmacovigilance, compliance tracking, and research documentation. Growing investment in digital health infrastructure further accelerates adoption.
During the forecast period, the North America region is expected to hold the largest market share, due to its advanced technology ecosystem and early digital adoption. The region hosts leading RPA vendors, consulting firms, and innovation hubs. Enterprises across banking, insurance, retail, and healthcare are aggressively deploying automation solutions. Strong regulatory frameworks and robust cybersecurity practices support large-scale implementations. Organizations are investing heavily in AI-enabled RPA to transform back-office and customer-facing operations.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to rapid digitalization and expanding enterprise automation initiatives. Countries such as India, China, Japan, and Singapore are accelerating their adoption of intelligent automation. Growing investments in AI, cloud computing, and IT modernization are strengthening RPA readiness across industries. SMEs and large corporations alike are embracing automation to enhance productivity and reduce costs. Government-led digital transformation programs are further catalyzing market growth.
Key players in the market
Some of the key players in Robotics Process Automation (RPA) Market include UiPath, Hyland Software, Automation Anywhere, Redwood, Blue Prism, ServiceNo, Microsoft, SAP, IBM, Kofax, Pegasyste, Appian, NICE Syste, EdgeVerve, and WorkFusio.
In November 2025, IBM and the University of Dayton announced an agreement for the joint research and development of next-generation semiconductor technologies and materials. The collaboration aims to advance critical technologies for the age of AI including AI hardware, advanced packaging, and photonics.
In November 2025, Hyland and Tribun Health, a leader in digital pathology, have joined forces to advance pathology workflows by integrating Tribun Health's advanced platform with Hyland's enterprise imaging solutions. This synergy puts cutting-edge AI and digital technology at the core of diagnostics, enabling pathologists to work faster and smarter.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.