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市場調查報告書

商品編碼

2021526

人工智慧市場預測：智慧流程自動化的全球分析（至2034年），涵蓋流程、組件、技術、應用、最終用戶和區域。

AI in Intelligent Process Automation Market Forecasts to 2034 - Global Analysis By Process, Component, Technology, Application, End User and By Geography

出版日期: 2026年04月17日 | 出版商:

Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，預計到 2026 年，全球智慧流程自動化 (IPA) 人工智慧市場規模將達到 224 億美元，在預測期內以 10.1% 的複合年成長率成長，到 2034 年將達到 486 億美元。

在智慧流程自動化中，人工智慧是指將機器學習、自然語言處理、電腦視覺和決策智慧等人工智慧能力與機器人流程自動化 (RPA)、業務流程管理 (BPM)、流程挖掘、低程式碼平台和互動式人工智慧等流程自動化技術相結合，以建立端到端的認知自動化系統，該系統能夠自主處理整個業務中需要判斷、模式識別和自適應決策和自適應決策的多變的流程。

對認知自動化領域的投資正在激增。

企業日益體認到，僅靠基於規則的RPA自動化，若缺乏人工智慧驅動的認知能力，其流程涵蓋範圍有限，促使企業加速投資智慧流程自動化平台。這是因為企業正在尋求能夠處理非結構化資料輸入、異常處理和情境決策需求的全面自動化解決方案——這些正是初始RPA部署後仍需手動處理的重要環節。企業主管自動化能力的不斷提升，正推動企業從簡單的機器人部署轉向全公司範圍的認知流程自動化，從而顯著增加平台擴展方面的支出。

人工智慧模型的準確性要求

在關鍵任務型企業流程自動化應用中，生產級人工智慧模型的精確度要求為訓練資料、模型檢驗和持續效能監控帶來了巨大的投資負擔。這限制了智慧流程自動化在受監管行業的應用，因為這些行業需要確保自動化流程決策的準確性、可驗證性、可解釋性和完整的審計追蹤，而這些決策會影響客戶、金融交易或監管合規性。

銀行業務轉型

銀行業和金融服務營運的轉型是人工智慧市場中最有價值的智慧流程自動化領域。金融機構正在貸款評估、交易結算、合規監控、詐欺調查和客戶註冊等流程中部署認知自動化。這些流程涉及數百萬知識工作者，他們需要進行複雜的決策。但隨著模型準確性和監管核准框架的日趨成熟，這些工作正擴大被人工智慧驅動的自動化決策所取代。

實施失敗率

智慧流程自動化 (IPA) 實施的失敗率，源自於對流程複雜性的低估、訓練資料品質不足、變更管理投入不足以及業務案例預期與實際實施情況不符等問題，這給整個 IPA 平台類別帶來了聲譽風險。這是因為，企業自動化專案失敗案例一旦公開揭露，就會在組織內部形成規避風險的心態，導致後續自動化投資的核准延遲，並延長企業在採購新平台方面的決策流程。

新冠疫情的影響：

疫情造成的營運中斷暴露了流程中的脆弱性，迫切需要一種即使在人員短缺的情況下也能維持營運的彈性自動化執行系統，從而催生了對智慧流程自動化 (IPA) 的即時需求。保險理賠處理量激增、政府福利資格審核要求提高以及醫療保健領域患者管理需求激增，遠遠超出了人工處理能力，加速了 IPA 的緊急部署。對後疫情時代營運韌性的投資正在推動各企業領域對 IPA 平台的需求。

在預測期內，工作流程自動化平台細分市場預計將成為最大的細分市場。

由於工作流程編配在協調人工智慧、RPA、文件處理和決策管理元件方面發揮基礎性作用，因此工作流程自動化平台細分市場預計將在預測期內佔據最大的市場佔有率。 ServiceNow、Appian 和 Pegasystems 等領先的 IPA 平台供應商正透過其工作流程自動化功能為企業創造可觀的收入，這些功能充當了更廣泛的企業自動化生態系統的「連接組織」。

預計在預測期內，硬體領域將呈現最高的複合年成長率。

在預測期內，硬體領域預計將呈現最高的成長率。這主要得益於企業對人工智慧最佳化伺服器和邊緣運算硬體的基礎設施投資，這些硬體對於運行智慧流程自動化工作負載至關重要。這些工作負載結合了即時文件處理、機器學習推理和互動式人工智慧回應生成，其企業級交易量已超過通用雲端運算在高頻認知自動化應用中的成本效益處理能力。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率。這主要歸功於美國企業在IPA平台開發和部署方面的技術領先地位，UiPath、Automation Anywhere、IBM和業務收益。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率。這主要歸功於印度和東南亞業務流程外包 (BPO) 產業對智慧流程自動化 (IPA) 的大規模快速應用，其驅動力在於企業對透過自動化提高營運效率的需求；同時，中國、日本和澳洲的銀行和金融服務產業也加大了對 IPA 的投資，其驅動力在於監管機構為提升競爭力而提出的數位化轉型和效率。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

企業概況
- 對其他市場參與者（最多 3 家公司）進行全面分析
- 對主要企業進行SWOT分析（最多3家公司）
區域分類
- 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
競爭性標竿分析
- 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 荷蘭
- 比利時
- 瑞典
- 瑞士
- 波蘭
- 其他歐洲國家
亞太地區
- 中國
- 日本
- 印度
- 韓國
- 澳洲
- 印尼
- 泰國
- 馬來西亞
- 新加坡
- 越南
- 其他亞太國家
南美洲
- 巴西
- 阿根廷
- 哥倫比亞
- 智利
- 秘魯
- 其他南美國家
世界其他地區（RoW）
- 中東
  - 沙烏地阿拉伯
  - 阿拉伯聯合大公國
  - 卡達
  - 以色列
  - 其他中東國家
- 非洲
  - 南非
  - 埃及
  - 摩洛哥
  - 其他非洲國家

第11章策略市場資訊

工業價值網路和供應鏈評估
空白區域和機會地圖
產品演進與市場生命週期分析
通路、經銷商和打入市場策略的評估

第12章產業趨勢與策略舉措

併購
夥伴關係、聯盟、合資企業
新產品發布和認證
擴大生產能力和投資
其他策略舉措

第13章：公司簡介

UiPath Inc.
Automation Anywhere Inc.
Blue Prism Group plc
IBM Corporation
Microsoft Corporation
SAP SE
Oracle Corporation
ServiceNow Inc.
Appian Corporation
Pegasystems Inc.
NICE Ltd.
Kofax Inc.
WorkFusion Inc.
Tata Consultancy Services（TCS）
Infosys Limited
Wipro Limited
Accenture plc

簡介目錄圖表

Product Code: SMRC34866

According to Stratistics MRC, the Global AI in Intelligent Process Automation Market is accounted for $22.4 billion in 2026 and is expected to reach $48.6 billion by 2034 growing at a CAGR of 10.1% during the forecast period. AI in intelligent process automation refers to the orchestrated integration of artificial intelligence capabilities including machine learning, natural language processing, computer vision, and decision intelligence with process automation technologies encompassing robotic process automation, business process management, process mining, low-code platforms, and conversational AI to create end-to-end cognitive automation systems capable of autonomously handling complex variable processes requiring judgment, pattern recognition, and adaptive decision-making across enterprise operations.

Market Dynamics:

Driver:

Cognitive Automation Investment Surge

Enterprise recognition that rule-based RPA automation achieves limited process coverage without AI-powered cognitive capabilities is driving accelerated intelligent process automation platform investment as organizations seek comprehensive automation solutions capable of handling the unstructured data inputs, exception conditions, and contextual judgment requirements that represent the majority of remaining manual process work after initial RPA deployments. C-suite automation maturity progression from simple bot deployment toward enterprise-wide cognitive process automation is generating substantial platform expansion expenditure.

Restraint:

AI Model Accuracy Requirements

Production-grade AI model accuracy requirements for mission-critical enterprise process automation applications create significant training data, model validation, and ongoing performance monitoring investment burdens that constrain intelligent process automation deployment in regulated industries requiring demonstrable decision accuracy, explainability, and audit trail completeness for automated process decisions affecting customer outcomes, financial transactions, or regulatory compliance determinations.

Opportunity:

Banking Operations Transformation

Banking and financial services operations transformation represents the highest-value intelligent process automation market segment as institutions deploy cognitive automation across loan underwriting, trade settlement, compliance monitoring, fraud investigation, and customer onboarding processes that collectively employ millions of knowledge workers performing complex judgment-intensive tasks that increasingly yield to AI-powered decision automation as model accuracy and regulatory acceptance frameworks mature.

Threat:

Implementation Failure Rates

High intelligent process automation implementation failure rates arising from underestimated process complexity, inadequate training data quality, insufficient change management investment, and misaligned business case expectations generate reputational risk for the broader IPA platform category as publicized enterprise automation program failures create organizational risk aversion that slows subsequent automation investment approvals and extends enterprise decision timelines for new platform procurements.

Covid-19 Impact:

COVID-19 created immediate demand for intelligent process automation as pandemic operational disruptions exposed process fragility and created urgent requirements for resilient automated execution that could maintain operations during workforce unavailability. Insurance claims processing surges, government benefit distribution requirements, and healthcare patient management demands exceeded manual processing capacity and accelerated emergency IPA deployments. Post-pandemic operational resilience investment sustains IPA platform demand across enterprise segments.

The Workflow Automation Platforms segment is expected to be the largest during the forecast period

The Workflow Automation Platforms segment is expected to account for the largest market share during the forecast period, due to fundamental role of workflow orchestration in coordinating AI, RPA, document processing, and decision management components within comprehensive intelligent process automation architectures, with leading IPA platform vendors including ServiceNow, Appian, and Pegasystems generating substantial enterprise revenue from workflow automation capabilities serving as the connective tissue for broader enterprise automation ecosystems.

The Hardware segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Hardware segment is predicted to witness the highest growth rate, driven by enterprise infrastructure investment in AI-optimized server and edge computing hardware required to execute intelligent process automation workloads combining real-time document processing, machine learning inference, and conversational AI response generation at enterprise transaction volumes exceeding the cost-effective capacity of general-purpose cloud computing for high-frequency cognitive automation applications.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to United States enterprise technology leadership in IPA platform development and adoption with major vendors including UiPath, Automation Anywhere, IBM, and ServiceNow generating substantial North American enterprise revenue while banking, insurance, and healthcare sectors represent the world's highest-value IPA investment concentrations driving premium platform pricing and services revenue.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapid large-scale IPA adoption across Indian and Southeast Asian business process outsourcing sectors seeking automation-driven operational efficiency improvements, combined with growing banking and financial services IPA investment in China, Japan, and Australia driven by regulatory digital transformation mandates and competitive efficiency improvement requirements.

Key players in the market

Some of the key players in AI in Intelligent Process Automation Market include UiPath Inc., Automation Anywhere Inc., Blue Prism Group plc, IBM Corporation, Microsoft Corporation, SAP SE, Oracle Corporation, ServiceNow Inc., Appian Corporation, Pegasystems Inc., NICE Ltd., Kofax Inc., WorkFusion Inc., Tata Consultancy Services (TCS), Infosys Limited, Wipro Limited, and Accenture plc.

Key Developments:

In March 2026, Appian Corporation launched an AI-native process automation platform integrating large language model reasoning with visual workflow design enabling business users to create sophisticated cognitive automation without programming expertise.

In February 2026, NICE Ltd. introduced an AI-powered process orchestration platform combining conversational AI, document intelligence, and RPA automation for end-to-end customer service and back-office process automation deployments.

In November 2025, Infosys Limited announced a major intelligent process automation implementation for a global insurance group deploying AI-powered claims processing automation across property and casualty underwriting and settlement workflows.

Processes Covered:

RPA Platforms
Intelligent Document Processing Tools
Process Mining Tools
AI Decision Management Systems
Workflow Automation Platforms
Conversational AI Tools
Low-Code Automation Platforms

Components Covered:

Hardware
Software & Platforms
Services

Technologies Covered:

Machine Learning & AI
Natural Language Processing
Computer Vision
Process Mining
Generative AI

Applications Covered:

Finance Automation
HR Automation
Customer Service Automation
IT Operations Automation
Supply Chain Automation
Compliance Automation

End Users Covered:

BFSI
Healthcare
Retail
Manufacturing
IT & Telecom

Regions Covered:

North America
- United States
- Canada
- Mexico
Europe
- United Kingdom
- Germany
- France
- Italy
- Spain
- Netherlands
- Belgium
- Sweden
- Switzerland
- Poland
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Vietnam
- Rest of Asia Pacific
South America
- Brazil
- Argentina
- Colombia
- Chile
- Peru
- Rest of South America
Rest of the World (RoW)
- Middle East
Saudi Arabia
United Arab Emirates
Qatar
Israel
Rest of Middle East
- Africa
South Africa
Egypt
Morocco
Rest of Africa

What our report offers:

Market share assessments for the regional and country-level segments
Strategic recommendations for the new entrants
Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
Strategic recommendations in key business segments based on the market estimations
Competitive landscaping mapping the key common trends
Company profiling with detailed strategies, financials, and recent developments
Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
Competitive Benchmarking
- Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

1 Executive Summary

1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations

2 Research Framework

2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
- 2.4.1 Data Collection (Primary and Secondary)
- 2.4.2 Data Modeling and Estimation Techniques
- 2.4.3 Data Validation and Triangulation
- 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

4.1 Porter's Five Forces Analysis
- 4.1.1 Supplier Bargaining Power
- 4.1.2 Buyer Bargaining Power
- 4.1.3 Threat of Substitutes
- 4.1.4 Threat of New Entrants
- 4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison

5 Global AI in Intelligent Process Automation Market, By Process

5.1 RPA Platforms
5.2 Intelligent Document Processing Tools
5.3 Process Mining Tools
5.4 AI Decision Management Systems
5.5 Workflow Automation Platforms
5.6 Conversational AI Tools
5.7 Low-Code Automation Platforms

6 Global AI in Intelligent Process Automation Market, By Component

6.1 Hardware
6.2 Software & Platforms
6.3 Services

7 Global AI in Intelligent Process Automation Market, By Technology

7.1 Machine Learning & AI
7.2 Natural Language Processing
7.3 Computer Vision
7.4 Process Mining
7.5 Generative AI

8 Global AI in Intelligent Process Automation Market, By Application

8.1 Finance Automation
8.2 HR Automation
8.3 Customer Service Automation
8.4 IT Operations Automation
8.5 Supply Chain Automation
8.6 Compliance Automation

9 Global AI in Intelligent Process Automation Market, By End User

9.1 BFSI
9.2 Healthcare
9.3 Retail
9.4 Manufacturing
9.5 IT & Telecom

10 Global AI in Intelligent Process Automation Market, By Geography

10.1 North America
- 10.1.1 United States
- 10.1.2 Canada
- 10.1.3 Mexico
10.2 Europe
- 10.2.1 United Kingdom
- 10.2.2 Germany
- 10.2.3 France
- 10.2.4 Italy
- 10.2.5 Spain
- 10.2.6 Netherlands
- 10.2.7 Belgium
- 10.2.8 Sweden
- 10.2.9 Switzerland
- 10.2.10 Poland
- 10.2.11 Rest of Europe
10.3 Asia Pacific
- 10.3.1 China
- 10.3.2 Japan
- 10.3.3 India
- 10.3.4 South Korea
- 10.3.5 Australia
- 10.3.6 Indonesia
- 10.3.7 Thailand
- 10.3.8 Malaysia
- 10.3.9 Singapore
- 10.3.10 Vietnam
- 10.3.11 Rest of Asia Pacific
10.4 South America
- 10.4.1 Brazil
- 10.4.2 Argentina
- 10.4.3 Colombia
- 10.4.4 Chile
- 10.4.5 Peru
- 10.4.6 Rest of South America
10.5 Rest of the World (RoW)
- 10.5.1 Middle East
  - 10.5.1.1 Saudi Arabia
  - 10.5.1.2 United Arab Emirates
  - 10.5.1.3 Qatar
  - 10.5.1.4 Israel
  - 10.5.1.5 Rest of Middle East
- 10.5.2 Africa
  - 10.5.2.1 South Africa
  - 10.5.2.2 Egypt
  - 10.5.2.3 Morocco
  - 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

11.1 Industry Value Network and Supply Chain Assessment
11.2 White-Space and Opportunity Mapping
11.3 Product Evolution and Market Life Cycle Analysis
11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

12.1 Mergers and Acquisitions
12.2 Partnerships, Alliances, and Joint Ventures
12.3 New Product Launches and Certifications
12.4 Capacity Expansion and Investments
12.5 Other Strategic Initiatives

13 Company Profiles

13.1 UiPath Inc.
13.2 Automation Anywhere Inc.
13.3 Blue Prism Group plc
13.4 IBM Corporation
13.5 Microsoft Corporation
13.6 SAP SE
13.7 Oracle Corporation
13.8 ServiceNow Inc.
13.9 Appian Corporation
13.10 Pegasystems Inc.
13.11 NICE Ltd.
13.12 Kofax Inc.
13.13 WorkFusion Inc.
13.14 Tata Consultancy Services (TCS)
13.15 Infosys Limited
13.16 Wipro Limited
13.17 Accenture plc

簡介目錄圖表

List of Tables

Table 1 Global AI in Intelligent Process Automation Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global AI in Intelligent Process Automation Market Outlook, By Process (2023-2034) ($MN)
Table 3 Global AI in Intelligent Process Automation Market Outlook, By RPA Platforms (2023-2034) ($MN)
Table 4 Global AI in Intelligent Process Automation Market Outlook, By Intelligent Document Processing Tools (2023-2034) ($MN)
Table 5 Global AI in Intelligent Process Automation Market Outlook, By Process Mining Tools (2023-2034) ($MN)
Table 6 Global AI in Intelligent Process Automation Market Outlook, By AI Decision Management Systems (2023-2034) ($MN)
Table 7 Global AI in Intelligent Process Automation Market Outlook, By Workflow Automation Platforms (2023-2034) ($MN)
Table 8 Global AI in Intelligent Process Automation Market Outlook, By Conversational AI Tools (2023-2034) ($MN)
Table 9 Global AI in Intelligent Process Automation Market Outlook, By Low-Code Automation Platforms (2023-2034) ($MN)
Table 10 Global AI in Intelligent Process Automation Market Outlook, By Component (2023-2034) ($MN)
Table 11 Global AI in Intelligent Process Automation Market Outlook, By Hardware (2023-2034) ($MN)
Table 12 Global AI in Intelligent Process Automation Market Outlook, By Software & Platforms (2023-2034) ($MN)
Table 13 Global AI in Intelligent Process Automation Market Outlook, By Services (2023-2034) ($MN)
Table 14 Global AI in Intelligent Process Automation Market Outlook, By Technology (2023-2034) ($MN)
Table 15 Global AI in Intelligent Process Automation Market Outlook, By Machine Learning & AI (2023-2034) ($MN)
Table 16 Global AI in Intelligent Process Automation Market Outlook, By Natural Language Processing (2023-2034) ($MN)
Table 17 Global AI in Intelligent Process Automation Market Outlook, By Computer Vision (2023-2034) ($MN)
Table 18 Global AI in Intelligent Process Automation Market Outlook, By Process Mining (2023-2034) ($MN)
Table 19 Global AI in Intelligent Process Automation Market Outlook, By Generative AI (2023-2034) ($MN)
Table 20 Global AI in Intelligent Process Automation Market Outlook, By Application (2023-2034) ($MN)
Table 21 Global AI in Intelligent Process Automation Market Outlook, By Finance Automation (2023-2034) ($MN)
Table 22 Global AI in Intelligent Process Automation Market Outlook, By HR Automation (2023-2034) ($MN)
Table 23 Global AI in Intelligent Process Automation Market Outlook, By Customer Service Automation (2023-2034) ($MN)
Table 24 Global AI in Intelligent Process Automation Market Outlook, By IT Operations Automation (2023-2034) ($MN)
Table 25 Global AI in Intelligent Process Automation Market Outlook, By Supply Chain Automation (2023-2034) ($MN)
Table 26 Global AI in Intelligent Process Automation Market Outlook, By Compliance Automation (2023-2034) ($MN)
Table 27 Global AI in Intelligent Process Automation Market Outlook, By End User (2023-2034) ($MN)
Table 28 Global AI in Intelligent Process Automation Market Outlook, By BFSI (2023-2034) ($MN)
Table 29 Global AI in Intelligent Process Automation Market Outlook, By Healthcare (2023-2034) ($MN)
Table 30 Global AI in Intelligent Process Automation Market Outlook, By Retail (2023-2034) ($MN)
Table 31 Global AI in Intelligent Process Automation Market Outlook, By Manufacturing (2023-2034) ($MN)
Table 32 Global AI in Intelligent Process Automation Market Outlook, By IT & Telecom (2023-2034) ($MN)