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自動化人工智能

市場調查報告書

商品編碼

1735611

全球智慧過程自動化市場規模（按技術、應用、產業垂直、地區和預測）

Global Intelligent Process Automation Market Size By Technology, By Application, By Vertical, By Geographic Scope and Forecast

出版日期: 2025年05月02日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

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簡介目錄

智慧過程自動化市場規模與預測

2024 年智慧流程自動化市場規模價值為 121.4 億美元，預計到 2032 年將達到 308.6 億美元，2026 年至 2032 年的複合年成長率為 12.37%。

智慧流程自動化 (IPA) 是利用人工智慧 (AI)、機器學習 (ML) 和機器人流程自動化 (RPA) 等先進技術實現複雜業務的自動化。 IPA 改進了傳統的自動化，讓系統可以從數據中學習並做出智慧決策，從而提高效率、準確性和速度。
IPA 用於自動化資料輸入和報告等日常業務，使用聊天機器人和虛擬代理最佳化客戶服務，並改善資料分析以便做出更明智的決策。 IPA 也用於合規性監控、詐欺偵測和供應鏈管理，幫助組織提高生產力和準確性，同時讓員工專注於更具策略性的活動。
智慧流程自動化 (IPA) 的未來在於其能夠與人工智慧技術深度融合，並實現更先進的認知自動化。隨著企業持續採用數位轉型策略，對 IPA 的需求將持續成長，從而實現更深入的人機協作。未來的使用案例可能包括完全自主的決策系統和用於預測洞察的高級分析，使企業能夠主動回應市場變化和客戶需求。

智慧流程自動化的全球市場動態

影響全球智慧過程自動化市場的關鍵市場動態：

關鍵市場促進因素

對業務效率的需求日益成長：各行各業的組織都在努力提高業務效率並降低成本。 IPA技術透過自動化重複性流程、減少人為錯誤並提高生產力來改善業務流程。越來越多的公司正在利用自動化技術來改善業務，並將人力資源重新分配到更具策略性的活動中。對效率的重視是市場擴張的關鍵驅動力。
人工智慧和機器學習的進步：人工智慧 (AI) 和機器學習 (ML) 技術的快速發展顯著提升了 IPA 解決方案的功能。這些突破使電腦能夠從數據中學習，適應新情況並自主做出智慧決策。隨著人工智慧和機器學習的不斷進步，它們與 IPA 技術的結合將變得更加強大和有效，在尋求新型自動化解決方案的企業中越來越受歡迎。
提升客戶經驗的需求日益成長：企業越來越注重提供卓越的客戶經驗，以獲得競爭優勢。 IPA 透過聊天機器人和虛擬客服實現客戶互動自動化，從而縮短回應時間並提供個人化服務，從而實現這一目標。隨著企業努力提升客戶滿意度和忠誠度，對能夠自動化客戶互動步驟的智慧自動化解決方案的需求也日益成長。

主要挑戰

整合複雜性：最大的挑戰之一是將 IPA 解決方案整合到現有的IT基礎設施和舊有系統中。許多組織混合使用與新自動化工具不相容的舊技術。這導致高昂的整合成本和漫長的實施時間，使公司不願採用 IPA 解決方案。公司通常難以在支援現有系統和投資新自動化技術之間取得平衡。
技能短缺：另一個主要問題是缺乏機器學習、自然語言處理和機器人流程自動化 (RPA) 等自動化技術領域的熟練人才。這些領域的人才需求往往超過供應，導致企業難以組成精幹的團隊。這種技能缺口導致自動化技術的採用和利用效率低下，阻礙了企業充分發揮其投資價值。
變革管理：成功實施IPA需要公司內部的文化與組織變革。員工可能會因為擔心失業或不了解自動化的優勢而猶豫是否要採用新的自動化流程。組織需要投資變革管理措施，例如培訓和溝通，以創造一種支持人機協作的自動化友善文化。

主要趨勢：

人工智慧 (AI) 與機器學習 (ML) 的融合：IPA 市場最重要的趨勢之一是人工智慧 (AI) 和機器學習 (ML) 技術的日益普及。這些改進使組織不僅能夠自動化日常業務，還能實現複雜決策流程的自動化。基於人工智慧的洞察能夠提高自動化系統的準確性和效率，使組織能夠最佳化流程、降低成本並改善服務交付。
超自動化的興起：隨著企業尋求整個流程而非單一任務的自動化，超自動化正在蓬勃發展。這種方法結合了多種自動化技術，包括機器人流程自動化 (RPA)、人工智慧 (AI) 和分析技術，以製定全面的自動化計劃。採用超自動化的企業可以提高業務效率、敏捷性和擴充性，進而提升客戶體驗和競爭優勢。
注重員工體驗：隨著自動化日益普及，人們越來越重視提升員工體驗。企業逐漸意識到人機協作的價值，自動化工具是人力的補充而非替代。這種方法強調使用者友善的介面和無縫的工作流程，使員工能夠專注於更高價值的業務，同時將日常業務自動化。

Intelligent process automation (IPA) is the use of advanced technologies such as artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) to automate complicated business operations. IPA improves traditional automation by allowing systems to learn from data and make intelligent judgments, resulting in increased efficiency, accuracy, and speed.
It is used to automate monotonous operations like data entry and report generation optimize customer service using chatbots and virtual agents, and improve data analysis for better decision-making. IPA is also used for compliance monitoring, fraud detection, and supply chain management where it helps organizations enhance productivity and accuracy while allowing employees to focus on more strategic activities.
The future of intelligent process automation lies in its ability to integrate more deeply with AI technologies allowing for greater levels of cognitive automation. As organizations continue to adopt digital transformation strategies, the demand for IPA will grow leading to enhanced human-AI collaboration. Future use cases may include fully autonomous decision-making systems and advanced analytics for predictive insights enabling businesses to respond proactively to market changes and customer needs.

Global Intelligent Process Automation Market Dynamics

The key market dynamics that are shaping the global intelligent process automation market include:

Key Market Drivers:

Increased Demand for Operational Efficiency: Organisations across industries are working to improve operational efficiency and cut expenses. IPA technologies improve business processes by automating repetitive procedures, reducing human error, and increasing productivity. Companies are increasingly using automation technologies to improve operations, freeing up human resources for more strategic activities. The emphasis on efficiency is a key driver of market expansion.
Advancements in Artificial Intelligence and Machine Learning: The rapid advancement of artificial intelligence (AI) and machine learning (ML) technology has significantly increased the capabilities of IPA solutions. These breakthroughs let computers learn from data, adapt to new situations, and make intelligent judgments on their own. As AI and ML improve, their incorporation with IPA technologies makes them more powerful and effective resulting in increased acceptance among businesses looking for novel automation solutions.
Rising Need for Improved Customer Experience: Businesses are increasingly focussing on providing excellent customer experience to acquire a competitive advantage. IPA makes this possible by automating customer interactions with chatbots and virtual agents, resulting in speedier response times and personalized services. As companies strive to improve customer pleasure and loyalty, the demand for intelligent automation solutions that help automate customer interaction procedures grows.

Key Challenges:

Integration Complexity: One of the most difficult difficulties is integrating IPA solutions into current IT infrastructure and legacy systems. Many organizations use a mix of obsolete technologies that may not be compatible with new automation tools. This might result in large integration costs and longer implementation times making firms reluctant to embrace IPA solutions. Companies frequently struggle to strike a balance between supporting existing systems and investing in new automation technologies.
Skill Shortages: Another significant difficulty is a lack of skilled individuals with competence in automation technologies such as Machine Learning, Natural Language Processing, and Robotic Process Automation (RPA). The demand for talent in these fields frequently exceeds supply making it challenging for businesses to establish capable teams. This skills gap can result in ineffective installation and underutilization of automation technologies preventing businesses from realizing the full value of their investments.
Change Management: Successful adoption of IPA necessitates cultural and organizational changes within businesses. Employees may be hesitant to adopt new automated procedures because they are concerned about job loss or do not grasp the benefits of automation. Organizations must invest in change management measures such as training and communication to develop an automation-friendly culture that supports human-machine collaboration.

Key Trends:

Integration of Artificial Intelligence (AI) and Machine Learning (ML): One of the most significant trends in the IPA market is the growing use of AI and ML technologies. These improvements enable organizations to automate not only routine jobs but also complicated decision-making processes. AI-powered insights improve the accuracy and efficiency of automated systems enabling organizations to optimize processes, cut costs, and improve service delivery.
Rise of Hyperautomation: Hyperautomation is gaining traction as organizations strive to automate entire processes rather than individual jobs. This approach involves mixing several automation technologies such as robotic process automation (RPA), artificial intelligence (AI), and analytics to develop a comprehensive automation plan. Companies that use hyper-automation can increase operational efficiency, agility, and scalability, resulting in better customer experiences and competitive benefits.
Focus on Employee Experience: As automation becomes increasingly ubiquitous, there is a greater emphasis on improving employee experience. Organisations are recognising the value of human-AI collaboration with automation tools complementing rather than replacing human efforts. This approach emphasises user-friendly interfaces and seamless workflows allowing staff to automate monotonous operations while focussing on higher-value activities.

Global Intelligent Process Automation Market Regional Analysis

Here is a more detailed regional analysis of the global intelligent process automation market:

North America:

North America dominates the intelligent process automation (IPA) market because of its excellent technological infrastructure and emphasis on innovation. The region is home to numerous major technology corporations and startups that invest extensively in R&D, accelerating the adoption of intelligent automation solutions. These solutions are increasingly used in a variety of industries including finance, healthcare, and manufacturing to improve efficiency, save operating costs, and improve client experiences.
Furthermore, North America's market supremacy is due to the presence of a trained workforce and a culture that embraces digital change. Organizations in the region are more willing to adopt new technology incorporating artificial intelligence and machine learning into their operations. Regulatory frameworks also encourage innovation creating a climate suitable to the expansion of IPA. As organizations seek competitive advantages through automation, North America's resources, knowledge, and market demand strengthen its position as a leader in intelligent process automation.

Asia-Pacific:

The Asia Pacific region is the fastest-growing market for intelligent process automation (IPA) due to its rapid digital transformation and increased adoption of advanced technology. Countries such as China, India, and Japan are making significant investments in automation to increase operational efficiency, lower costs, and enhance consumer experiences. The expansion of smart technologies such as artificial intelligence (AI), machine learning, and robotic process automation has hastened the use of IPA in industries like as manufacturing, banking, and healthcare.
Furthermore, the rise of start-ups and technology enterprises in the region is encouraging innovation and competitiveness which is boosting the use of IPA solutions. Governments in the Asia Pacific are also pushing digital initiatives and smart city projects fostering a favorable atmosphere for automation technologies. The Asia Pacific area is a global leader in intelligent process automation due to its big, tech-savvy workforce and the growing need for businesses to optimize operations in response to rising customer expectations.

Global Intelligent Process Automation Market: Segmentation Analysis

The Global Intelligent Process Automation Market is segmented based on Technology, Application, Vertical, and Geography.

Intelligent Process Automation Market, By Technology

Computer Vision
Machine Learning
Natural Language Processing
Virtual Agents
Others

Based on Technology, the Global Intelligent Process Automation Market is segmented into Computer Vision, Machine Learning, Natural Language Processing, Virtual Agents, and Others. In the intelligent process automation (IPA) market, Machine Learning is the most dominant technology. Its ability to analyze vast amounts of data and learn from patterns makes it essential for automating complex processes and enhancing decision-making. Machine Learning algorithms enable systems to improve over time, providing significant efficiency gains. While computer vision and natural language processing are also important for specific applications such as document processing and customer interaction, machine learning's broad applicability across various industries solidifies its leading position in IPA.

Intelligent Process Automation Market, By Vertical

Manufacturing
Healthcare
Retail
IT & Telecom
BSFI
Others

Based on Vertical, the Global Intelligent Process Automation Market is segmented into Manufacturing, Healthcare, Retail, IT & Telecom, BSFI, and Others. The manufacturing sector is the most dominant in the intelligent process automation (IPA) market. This dominance stems from the industry's need for efficiency, cost reduction, and enhanced productivity. Manufacturers are increasingly adopting automation technologies to streamline operations, minimize human error, and improve supply chain management. The implementation of intelligent process automation helps optimize production processes, reduce downtime, and enable real-time data analysis. As a result, manufacturing leads the way in utilizing IPA solutions to drive innovation and competitiveness.

Intelligent Process Automation Market, By Application

Security
IT Operations
Application Management
Business Process Automation
Others

Based on Application, the Global Intelligent Process Automation Market is segmented into Security, IT Operations, Application Management, Business Process Automation, and Others. In the intelligent process automation market, Business Process Automation (BPA) is the most dominant segment. BPA focuses on streamlining and optimizing business workflows, significantly improving efficiency and productivity across various industries. By automating repetitive tasks, organizations can reduce operational costs and enhance service delivery. As companies increasingly recognize the importance of operational efficiency and agility, the demand for BPA solutions continues to grow driving advancements in intelligent process automation technologies. Other segments like IT operations and application management also contribute but are less dominant compared to BPA.

Intelligent Process Automation Market, By Geography

North America
Europe
Asia Pacific
Rest of the world

Based on Geography, the Global Intelligent Process Automation Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America is more dominant in the intelligent process automation (IPA) market due to its advanced technological infrastructure and high adoption of digital transformation initiatives across industries. The region boasts a strong presence of leading technological firms and startups that drive innovation in automation solutions. Additionally, significant investments in research and development, along with favorable government policies supporting automation further enhance market growth. The increasing demand for operational efficiency and cost reduction among enterprises also contributes to North America's dominance in this sector.

Key Players

The "Global Intelligent Process Automation Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Tata Consultancy Services, Cognizant, Accenture, IBM Corporation, Genpact, Atos, Infosys, Capgemini, Xerox Corporation, Pegasystems, Wipro, Mindtree, and Others.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Global Intelligent Process Automation Market Key Developments

In June 2023, Robocorp, the forefront Intelligent Process Automation (IPA) company, announced its partnership with Siili Solutions Plc, a full-service development partner for innovating, designing, building, and running digital services. This collaboration brings together two champions of open-source automation and empowers organizations in their transition from legacy to new-generation intelligent process automation.

1 INTRODUCTION OF GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET

1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET OUTLOOK

4.1 Overview
4.2 Market Dynamics
- 4.2.1 Drivers
- 4.2.2 Restraints
- 4.2.3 Opportunities
4.3. Porters Five Force Model
4.4. Value Chain Analysis

5 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET, BY TECHNOLOGY

5.1 Overview
5.2 Computer Vision
5.3 Machine Learning
5.4 Natural Language Processing
5.5 Virtual Agents
5.6 Others

6 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET, BY APPLICATION

6.1 Overview
6.2 Security
6.3 IT Operation
6.4 Application Management
6.5 Business Process Automation
6.6 Others

7 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET, BY VERTICAL

7.1 Overview
7.2 Manufacturing
7.3 Retail
7.4 BSFI
7.5 IT & Telecom
7.6 Healthcare
7.7 Others

8 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET, BY GEOGRAPHY

8.1 Overview
8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
- 8.2.3 Mexico
8.3 Europe
- 8.3.1 Germany
- 8.3.2 U.K.
- 8.3.3 France
- 8.3.4 Rest of Europe
8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 Japan
- 8.4.3 India
- 8.4.4 Rest of Asia Pacific
8.5 Rest of the World
- 8.5.1 Latin America
- 8.5.2 Middle East and Africa

9 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET COMPETITIVE LANDSCAPE

9.1 Overview
9.2 Company Market Ranking
9.3 Key Development Strategies

10 COMPANY PROFILES

10.1 Tata Consultancy Service
- 10.1.1 Overview
- 10.1.2 Financial Performance
- 10.1.3 Product Outlook
- 10.1.4 Key Developments
10.2 Infosys
- 10.2.1 Overview
- 10.2.2 Financial Performance
- 10.2.3 Product Outlook
- 10.2.4 Key Developments
10.3 Cognizant
- 10.3.1 Overview
- 10.3.2 Financial Performance
- 10.3.3 Product Outlook
- 10.3.4 Key Developments
10.4 Accenture
- 10.4.1 Overview
- 10.4.2 Financial Performance
- 10.4.3 Product Outlook
- 10.4.4 Key Developments
10.5 Mindtree
- 10.5.1 Overview
- 10.5.2 Financial Performance
- 10.5.3 Product Outlook
- 10.5.4 Key Developments
10.6 Xerox Corporation
- 10.6.1 Overview
- 10.6.2 Financial Performance
- 10.6.3 Product Outlook
- 10.6.4 Key Developments
10.7 Capgemini
- 10.7.1 Overview
- 10.7.2 Financial Performance
- 10.7.3 Product Outlook
- 10.7.4 Key Developments
10.8 Atos
- 10.8.1 Overview
- 10.8.2 Financial Performance
- 10.8.3 Product Outlook
- 10.8.4 Key Developments
10.9 Genpact
- 10.9.1 Overview
- 10.9.2 Financial Performance
- 10.9.3 Product Outlook
- 10.9.4 Key Developments
10.10 IBM Corporation
- 10.10.1 Overview
- 10.10.2 Financial Performance
- 10.10.3 Product Outlook
- 10.10.4 Key Developments