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市场调查报告书
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1847606

2025年机器学习（ML）智慧流程自动化全球市场报告

Machine Learning (ML) Intelligent Process Automation Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，机器学习 (ML) 智慧流程自动化市场规模迅速扩张，从 2024 年的 195.8 亿美元成长到 2025 年的 230.1 亿美元，复合年增长率达 17.5%。这段历史时期的成长可归因于营运最佳化支出的增加、各产业垂直领域的技术应用、对智慧流程自动化解决方案和服务的需求、对自动化以减少人工的关注，以及对提高营运效率的高度重视。

机器学习 (ML) 智慧流程自动化市场预计将在未来几年快速成长，到 2029 年将达到 424 亿美元，复合年增长率为 16.5%。预测期内的成长可归因于新兴技术的整合、产品系列的扩展和增强、创新自动化解决方案的采用、新兴国家对自动化技术的需求不断增长，以及对自动化以改善客户体验的关注。预测期内的主要趋势包括：云端基础技术在自动化中的整合、机器学习演算法在效率提升中的应用增加、虚拟代理在增强客户服务中的应用增加、自然语言处理在改善互动的应用，以及对人工智慧主导的决策流程的重视。

机器学习智慧流程自动化 (MLIPA) 是指利用机器学习演算法和人工智慧 (AI) 技术，实现各行各业业务流程的自动化和最佳化。 MLIPA 透过使用演算法分析资料、做出决策并采取行动，可以更有效率、更智慧地实现复杂工作流程和业务流程的自动化。

MLIPA 主要分为结构化和非结构化两种。结构化 MLIPA 涉及应用演算法，利用结构化资料自动执行重复性任务或工作流程。它包含各种组件，包括解决方案、软体工具、平台和专业服务，例如咨询和顾问、设计和实施、培训、支援和维护。这些解决方案应用于各种领域，包括资讯技术营运、客服中心管理、业务流程自动化、应用程式管理、内容管理和安全管理。 MLIPA 被广泛的终端用户使用，包括银行、金融服务和保险 (BFSI)、通讯和资讯技术 (IT)、运输和物流、媒体和娱乐、零售和电子商务、製造业、医疗保健和生命科学以及人力资源。

2025年春季美国突然提高关税以及由此引发的贸易摩擦对资讯科技产业产生了重大影响，尤其是硬体製造、资料基础设施和软体部署。对进口半导体、电路基板和网路设备征收更高的关税，并推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司面临更长的前置作业时间和价格压力。同时，对专业软体征收的关税以及主要国际市场的报復性措施扰乱了全球IT供应链，减少了海外对美国製造技术的需求。作为应对措施，该行业正在增加对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化来提高弹性并更有效地管理成本。

机器学习 (ML) 智慧流程自动化研究报告是商业研究公司 (The Business Research Company) 最新报告系列的一部分，该系列提供机器学习 (ML) 智慧流程自动化市场统计数据，例如全球市场规模、区域份额、竞争对手的机器学习 (ML) 智慧流程自动化市场份额、详细的机器学习 (ML) 智慧流程自动化市场、市场市场以及机器学习自动化这份机器学习 (ML) 智慧流程自动化市场研究报告提供了全面的展望，并对产业现状和未来趋势进行了深入分析。

未来五年16.5%的成长预测，较我们先前对该市场的预测略有下降0.6%。这一下降主要源自于美国与其他国家之间关税的影响。对云端编配服务和进口认知API征收的关税可能会增加部署机器学习驱动的智慧流程自动化工具的成本。此外，互惠关税以及贸易紧张局势和限制措施升级对全球经济和贸易的负面影响将产生更广泛的影响。

预计未来几年，日益增长的数位转型需求将推动机器学习 (ML) 智慧流程自动化市场的成长。数位转型涉及将数位技术整合到组织的产品、流程和策略中，以提高效率、生产力、客户参与度、创新和收益。数位转型的需求主要是由在快速发展和互联互通的商业环境中提高效率、敏捷和竞争力的需求所驱动。由机器学习驱动的智慧流程自动化在数位转型中发挥关键作用，它透过自动执行重复性任务、优化流程并支援跨各种业务职能的数据主导决策，最终提高效率和生产力。例如，2023 年 11 月，英国政府机构中央数位和数据办公室报告称，2022 年 4 月至 2023 年 4 月期间数位和数据专业增加了 19%，满足了对数位专业知识的巨大需求。此外，欧盟委员会于2023年12月透露，到2023年，欧盟采用云端基础的解决方案的比例将增加4.2个百分点，届时将有45.2%的企业购买云端处理服务。因此，数位转型需求的不断增长正在推动机器学习智慧流程自动化市场的成长。

机器学习智慧流程自动化市场的关键参与者正专注于开发先进的解决方案，例如人工智慧平台，以优化营运并提高生产力。人工智慧平台是一种软体解决方案，可促进人工智慧应用程式的创建和管理，从而改善决策并提高效率。例如，总部位于美国的全球科技公司Cognizant于2024年3月宣布成立其先进人工智慧实验室。该实验室将致力于透过研发推动人工智慧发展，旨在加速该领域的创新。该计划将专注于推动人工智慧科学、创造智慧财产权以及开发人工智慧实行技术。

2023年1月，知名管理顾问公司麦肯锡收购了Iguazio，具体金额未揭露。此次策略性收购将使麦肯锡显着加速并扩大其人工智慧应用。麦肯锡利用Iguazio的MLOps平台，旨在提供产业专用的人工智慧解决方案，以扩展人工智慧功能、提高生产力、缩短从概念验证到运作的时间并提升可靠性。 Iguazio是一家总部位于以色列的软体公司，专注于透过其MLOps平台提供智慧机器学习自动化流程，与麦肯锡的服务产品相得益彰，并巩固了其在人工智慧主导的数位转型领域的地位。

机器学习 (ML) 智慧流程自动化市场涵盖提供自动资料提取、预测分析、异常侦测以及用于文字理解的自然语言处理 (NLP) 等服务的营业单位所获得的收益。市场价值还包括服务供应商销售的或包含在其服务产品中的任何相关商品的价值。仅包括营业单位之间交易或销售给最终消费者的商品和服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球机器学习（ML）智慧流程自动化：PESTEL分析（政治、社会、技术、环境、法律因素、驱动因素与限制因素）
  • 最终用途产业分析
  • 全球机器学习（ML）智慧流程自动化市场：成长率分析
  • 全球机器学习 (ML) 智慧流程自动化市场表现：规模与成长，2019-2024 年
  • 全球机器学习 (ML) 智慧流程自动化市场预测：规模与成长，2024-2029 年，2034 年预测
  • 全球机器学习 (ML) 智慧流程自动化：总潜在市场 (TAM)

第六章 市场细分

  • 全球机器学习 (ML) 智慧流程自动化市场：按类型、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 结构化
  • 非结构化
  • 全球机器学习 (ML) 智慧流程自动化市场：按组件、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 解决方案
  • 软体工具
  • 平台
  • 服务
  • 专业服务
  • 咨询或顾问
  • 设计与实现
  • 训练
  • 支援和维护
  • 其他组件
  • 全球机器学习 (ML) 智慧流程自动化市场：按应用、实际情况和预测，2019-2024 年、2024-2029 年、2034 年
  • 资讯科技营运
  • 客服中心管理
  • 业务流程自动化
  • 应用程式管理
  • 内容管理
  • 安全管理
  • 其他用途
  • 全球机器学习 (ML) 智慧流程自动化市场：按最终用户、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 银行、金融服务和保险（BFSI）
  • 电讯与资讯科技（IT）
  • 运输和物流
  • 媒体与娱乐
  • 零售与电子商务
  • 製造业
  • 医疗保健和生命科学
  • 人力资源管理
  • 全球机器学习 (ML) 智慧流程自动化市场：按类型、实际和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 资料提取
  • 资料分类
  • 资料处理
  • 数据集成
  • 全球机器学习 (ML) 智慧流程自动化市场：按非结构化、类型、实际和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 自然语言处理（NLP）
  • 影像识别
  • 文字分析
  • 语音辨识

第七章 区域和国家分析

  • 全球机器学习 (ML) 智慧流程自动化市场：区域表现与预测（2019-2024 年、2024-2029 年预测、2034 年预测）
  • 全球机器学习 (ML) 智慧流程自动化市场：国家/地区、绩效与预测（2019-2024 年、2024-2029 年预测、2034 年预测）

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章：西欧市场

第十六章英国市场

第十七章：德国市场

第18章：法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章：竞争格局与公司概况

  • 机器学习（ML）智慧流程自动化市场：竞争格局
  • 机器学习（ML）智慧流程自动化市场：公司简介
    • Alibaba Group Holding Limited Overview, Products and Services, Strategy and Financial Analysis
    • Accenture plc Overview, Products and Services, Strategy and Financial Analysis
    • International Business Machines Corporation（IBM）Overview, Products and Services, Strategy and Financial Analysis
    • SAP SE Overview, Products and Services, Strategy and Financial Analysis
    • Tata Consultancy Services Limited（TCS）Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Capgemini SE
  • Atos SE
  • Wipro Limited
  • Xerox Holdings Corporation
  • NICE Ltd.
  • Blue Prism Group plc
  • Pegasystems Inc.
  • BlueHalo LLC
  • UiPath Inc.
  • Automation Anywhere Inc.
  • Appian Corporation
  • Kofax Inc.
  • Bright Machines Inc.
  • Cove.Tool Inc.
  • Larc AI（Pty）Ltd.

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章：高潜力市场国家、细分市场与策略

  • 2029年机器学习（ML）智慧流程自动化市场：提供新机会的国家
  • 2029年机器学习（ML）智慧流程自动化市场：细分领域带来新机会
  • 机器学习（ML）智慧流程自动化市场2029：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章 附录

简介目录
Product Code: r28444u

Machine learning intelligent process automation (MLIPA) refers to the utilization of machine learning algorithms and artificial intelligence (AI) technologies to automate and optimize business processes across various industries. By leveraging algorithms to analyze data, make decisions, and execute actions, MLIPA enables more efficient and intelligent automation of complex workflows and business processes.

The primary types of MLIPA can be categorized as structured and unstructured. Structured MLIPA involves the application of algorithms to automate repetitive tasks and workflows using structured data. This encompasses various components such as solutions, software tools, platforms, and services including professional services, advisory or consulting, design and implementation, training, support, and maintenance. These solutions find applications across diverse domains including information technology operations, contact center management, business process automation, application management, content management, security management, and others. MLIPA is utilized by a wide range of end-users including those in banking, financial services, insurance (BFSI), telecommunications and information technology (IT), transport and logistics, media and entertainment, retail and e-commerce, manufacturing, healthcare and life sciences, and human resource management.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The machine learning (ML) intelligent process automation research report is one of a series of new reports from The Business Research Company that provides machine learning (ML) intelligent process automation market statistics, including the machine learning (ML) intelligent process automation industry's global market size, regional shares, competitors with a machine learning (ML) intelligent process automation market share, detailed machine learning (ML) intelligent process automation market segments, market trends and opportunities, and any further data you may need to thrive in the machine learning (ML) intelligent process automation industry. This machine learning (ML) intelligent process automation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The machine learning (ml) intelligent process automation market size has grown rapidly in recent years. It will grow from $19.58 billion in 2024 to $23.01 billion in 2025 at a compound annual growth rate (CAGR) of 17.5%. The growth in the historic period can be attributed to increased spending on business operations optimization, technological adoption across various industry sectors, demand for intelligent process automation solutions and services, focus on automation to reduce manual efforts, and emphasis on improving operational efficiency.

The machine learning (ml) intelligent process automation market size is expected to see rapid growth in the next few years. It will grow to $42.4 billion in 2029 at a compound annual growth rate (CAGR) of 16.5%. The growth in the forecast period can be attributed to the integration of emerging technologies, expansion and enhancement of product portfolios, adoption of innovative automation solutions, increasing demand for automation technologies in developing countries, and focus on automation to enhance customer experience. Major trends in the forecast period include the integration of cloud-based technologies for automation, increased use of machine learning algorithms for efficiency, rise in virtual agents for customer service enhancement, adoption of natural language processing for improved interactions, and focus on AI-driven decision-making processes.

The forecast of 16.5% growth over the next five years reflects a modest reduction of 0.6% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariffs on cloud orchestration services and imported cognitive APIs could raise the total cost of implementing ML-powered intelligent process automation tools. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The increasing demand for digital transformation is expected to drive the growth of the machine learning (ML) intelligent process automation market in the coming years. Digital transformation involves integrating digital technologies into an organization's products, processes, and strategies to improve efficiency, productivity, customer engagement, innovation, and revenue. The demand for digital transformation is primarily driven by the need for greater efficiency, agility, and competitiveness in a rapidly evolving and interconnected business environment. Machine learning intelligent process automation plays a crucial role in digital transformation by automating repetitive tasks, optimizing processes, and enabling data-driven decisions across various business functions, ultimately boosting efficiency and productivity. For example, in November 2023, the Central Digital and Data Office, a UK-based government body, reported a 19% growth in the digital and data profession between April 2022 and April 2023, meeting critical demands for digital expertise. Moreover, in December 2023, the European Commission revealed that cloud-based solution adoption in the European Union increased by 4.2 percentage points in 2023, with 45.2% of businesses purchasing cloud computing services, reflecting a significant rise compared to 2021. As a result, the growing demand for digital transformation is fueling the growth of the machine learning intelligent process automation market.

Key players in the machine learning intelligent process automation market are focusing on the development of advanced solutions, such as artificial intelligence platforms, to optimize operations and boost productivity. Artificial intelligence platforms are software solutions that facilitate the creation and management of AI applications, enhancing decision-making and efficiency. For example, in March 2024, Cognizant, a US-based global technology company, unveiled the Advanced Artificial Intelligence Lab. This lab is dedicated to advancing AI through research and development, with a goal of accelerating innovation in the field. The initiative will focus on advancing AI science, creating intellectual property, and developing AI-enablement technologies.

In January 2023, McKinsey, a renowned management consulting firm, acquired Iguazio for an undisclosed sum. This strategic acquisition enables McKinsey to significantly accelerate and scale AI deployments. By leveraging Iguazio's MLOps Platform, McKinsey aims to expand its AI capabilities and deliver industry-specific AI solutions that are more productive, expedite the journey from proof-of-concept to production, and enhance reliability. Iguazio, an Israel-based software company, specializes in providing ML intelligent automation processes through its MLOps Platform, thus complementing McKinsey's offerings and bolstering its position in the AI-driven digital transformation landscape.

Major companies operating in the machine learning (ML) intelligent process automation market are Alibaba Group Holding Limited, Accenture plc, International Business Machines Corporation (IBM), SAP SE, Tata Consultancy Services Limited (TCS), Capgemini SE, Atos SE, Wipro Limited, Xerox Holdings Corporation, NICE Ltd., Blue Prism Group plc, Pegasystems Inc., BlueHalo LLC, UiPath Inc., Automation Anywhere Inc., Appian Corporation, Kofax Inc., Bright Machines Inc., Cove.Tool Inc., Larc AI (Pty) Ltd., Cinnamon Inc., AutomationEdge Technologies Inc., AntWorks Global Limited

North America was the largest region in the machine learning (ML) intelligent process automation market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning (ML) intelligent process automation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the machine learning (ML) intelligent process automation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The machine learning (ML) intelligent process automation market includes revenues earned by entities by providing services such as automated data extraction, predictive analytics, anomaly detection, and natural language processing (NLP) for text understanding. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Machine Learning (ML) Intelligent Process Automation Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on machine learning (ml) intelligent process automation market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for machine learning (ml) intelligent process automation ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The machine learning (ml) intelligent process automation market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Type: Structured; Unstructured
  • 2) By Component: Solutions; Software Tools; Platforms; Services; Professional Services; Advisory Or Consulting; Design And Implementation; Training; Support And Maintenance; Other Components
  • 3) By Application: Information Technology Operations; Contact Center Management; Business Process Automation; Application Management; Content Management; Security Management; Other Applications
  • 4) By End User: Banking, Financial Services, Insurance (BFSI); Telecommunications And Information Technology (IT); Transport And Logistics; Media And Entertainment; Retail And E-Commerce; Manufacturing; Healthcare And Life Sciences; Human Resource Management
  • Subsegments:
  • 1) By Structured: Data Extraction; Data Classification; Data Processing; Data Integration
  • 2) By Unstructured: Natural Language Processing (NLP); Image Recognition; Text Analytics; Speech Recognition
  • Companies Mentioned: Alibaba Group Holding Limited; Accenture plc; International Business Machines Corporation (IBM); SAP SE; Tata Consultancy Services Limited (TCS); Capgemini SE; Atos SE; Wipro Limited; Xerox Holdings Corporation; NICE Ltd.; Blue Prism Group plc; Pegasystems Inc.; BlueHalo LLC; UiPath Inc.; Automation Anywhere Inc.; Appian Corporation; Kofax Inc.; Bright Machines Inc.; Cove.Tool Inc.; Larc AI (Pty) Ltd.; Cinnamon Inc.; AutomationEdge Technologies Inc.; AntWorks Global Limited
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Machine Learning (ML) Intelligent Process Automation Market Characteristics

3. Machine Learning (ML) Intelligent Process Automation Market Trends And Strategies

4. Machine Learning (ML) Intelligent Process Automation Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Machine Learning (ML) Intelligent Process Automation Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Machine Learning (ML) Intelligent Process Automation PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Machine Learning (ML) Intelligent Process Automation Market Growth Rate Analysis
  • 5.4. Global Machine Learning (ML) Intelligent Process Automation Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Machine Learning (ML) Intelligent Process Automation Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Machine Learning (ML) Intelligent Process Automation Total Addressable Market (TAM)

6. Machine Learning (ML) Intelligent Process Automation Market Segmentation

  • 6.1. Global Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Structured
  • Unstructured
  • 6.2. Global Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Solutions
  • Software Tools
  • Platforms
  • Services
  • Professional Services
  • Advisory Or Consulting
  • Design And Implementation
  • Training
  • Support And Maintenance
  • Other Components
  • 6.3. Global Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Information Technology Operations
  • Contact Center Management
  • Business Process Automation
  • Application Management
  • Content Management
  • Security Management
  • Other Applications
  • 6.4. Global Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Banking, Financial Services, Insurance (BFSI)
  • Telecommunications And Information Technology (IT)
  • Transport And Logistics
  • Media And Entertainment
  • Retail And E-Commerce
  • Manufacturing
  • Healthcare And Life Sciences
  • Human Resource Management
  • 6.5. Global Machine Learning (ML) Intelligent Process Automation Market, Sub-Segmentation Of Structured, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Data Extraction
  • Data Classification
  • Data Processing
  • Data Integration
  • 6.6. Global Machine Learning (ML) Intelligent Process Automation Market, Sub-Segmentation Of Unstructured, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Natural Language Processing (NLP)
  • Image Recognition
  • Text Analytics
  • Speech Recognition

7. Machine Learning (ML) Intelligent Process Automation Market Regional And Country Analysis

  • 7.1. Global Machine Learning (ML) Intelligent Process Automation Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Machine Learning (ML) Intelligent Process Automation Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Machine Learning (ML) Intelligent Process Automation Market

  • 8.1. Asia-Pacific Machine Learning (ML) Intelligent Process Automation Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Machine Learning (ML) Intelligent Process Automation Market

  • 9.1. China Machine Learning (ML) Intelligent Process Automation Market Overview
  • 9.2. China Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Machine Learning (ML) Intelligent Process Automation Market

  • 10.1. India Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Machine Learning (ML) Intelligent Process Automation Market

  • 11.1. Japan Machine Learning (ML) Intelligent Process Automation Market Overview
  • 11.2. Japan Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Machine Learning (ML) Intelligent Process Automation Market

  • 12.1. Australia Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Machine Learning (ML) Intelligent Process Automation Market

  • 13.1. Indonesia Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Machine Learning (ML) Intelligent Process Automation Market

  • 14.1. South Korea Machine Learning (ML) Intelligent Process Automation Market Overview
  • 14.2. South Korea Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Machine Learning (ML) Intelligent Process Automation Market

  • 15.1. Western Europe Machine Learning (ML) Intelligent Process Automation Market Overview
  • 15.2. Western Europe Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Machine Learning (ML) Intelligent Process Automation Market

  • 16.1. UK Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Machine Learning (ML) Intelligent Process Automation Market

  • 17.1. Germany Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Machine Learning (ML) Intelligent Process Automation Market

  • 18.1. France Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Machine Learning (ML) Intelligent Process Automation Market

  • 19.1. Italy Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Machine Learning (ML) Intelligent Process Automation Market

  • 20.1. Spain Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Machine Learning (ML) Intelligent Process Automation Market

  • 21.1. Eastern Europe Machine Learning (ML) Intelligent Process Automation Market Overview
  • 21.2. Eastern Europe Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Machine Learning (ML) Intelligent Process Automation Market

  • 22.1. Russia Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Machine Learning (ML) Intelligent Process Automation Market

  • 23.1. North America Machine Learning (ML) Intelligent Process Automation Market Overview
  • 23.2. North America Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Machine Learning (ML) Intelligent Process Automation Market

  • 24.1. USA Machine Learning (ML) Intelligent Process Automation Market Overview
  • 24.2. USA Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Machine Learning (ML) Intelligent Process Automation Market

  • 25.1. Canada Machine Learning (ML) Intelligent Process Automation Market Overview
  • 25.2. Canada Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Machine Learning (ML) Intelligent Process Automation Market

  • 26.1. South America Machine Learning (ML) Intelligent Process Automation Market Overview
  • 26.2. South America Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Machine Learning (ML) Intelligent Process Automation Market

  • 27.1. Brazil Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Machine Learning (ML) Intelligent Process Automation Market

  • 28.1. Middle East Machine Learning (ML) Intelligent Process Automation Market Overview
  • 28.2. Middle East Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Machine Learning (ML) Intelligent Process Automation Market

  • 29.1. Africa Machine Learning (ML) Intelligent Process Automation Market Overview
  • 29.2. Africa Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Machine Learning (ML) Intelligent Process Automation Market Competitive Landscape And Company Profiles

  • 30.1. Machine Learning (ML) Intelligent Process Automation Market Competitive Landscape
  • 30.2. Machine Learning (ML) Intelligent Process Automation Market Company Profiles
    • 30.2.1. Alibaba Group Holding Limited Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Accenture plc Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. International Business Machines Corporation (IBM) Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. SAP SE Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Tata Consultancy Services Limited (TCS) Overview, Products and Services, Strategy and Financial Analysis

31. Machine Learning (ML) Intelligent Process Automation Market Other Major And Innovative Companies

  • 31.1. Capgemini SE
  • 31.2. Atos SE
  • 31.3. Wipro Limited
  • 31.4. Xerox Holdings Corporation
  • 31.5. NICE Ltd.
  • 31.6. Blue Prism Group plc
  • 31.7. Pegasystems Inc.
  • 31.8. BlueHalo LLC
  • 31.9. UiPath Inc.
  • 31.10. Automation Anywhere Inc.
  • 31.11. Appian Corporation
  • 31.12. Kofax Inc.
  • 31.13. Bright Machines Inc.
  • 31.14. Cove.Tool Inc.
  • 31.15. Larc AI (Pty) Ltd.

32. Global Machine Learning (ML) Intelligent Process Automation Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Machine Learning (ML) Intelligent Process Automation Market

34. Recent Developments In The Machine Learning (ML) Intelligent Process Automation Market

35. Machine Learning (ML) Intelligent Process Automation Market High Potential Countries, Segments and Strategies

  • 35.1 Machine Learning (ML) Intelligent Process Automation Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Machine Learning (ML) Intelligent Process Automation Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Machine Learning (ML) Intelligent Process Automation Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer