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市場調查報告書
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1847606

2025年機器學習（ML）智慧流程自動化全球市場報告

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個工作天內

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簡介目錄

近年來，機器學習 (ML) 智慧流程自動化市場規模迅速擴張，從 2024 年的 195.8 億美元成長到 2025 年的 230.1 億美元，複合年成長率達 17.5%。這段歷史時期的成長可歸因於營運最佳化支出的增加、各產業垂直領域的技術應用、對智慧流程自動化解決方案和服務的需求、對自動化以減少人工的關注，以及對提高營運效率的高度重視。

機器學習 (ML) 智慧流程自動化市場預計將在未來幾年快速成長，到 2029 年將達到 424 億美元，複合年成長率為 16.5%。預測期內的成長可歸因於新興技術的整合、產品系列的擴展和增強、創新自動化解決方案的採用、新興國家對自動化技術的需求不斷成長，以及對自動化以改善客戶體驗的關注。預測期內的主要趨勢包括：雲端基礎技術在自動化中的整合、機器學習演算法在效率提升中的應用增加、虛擬代理在增強客戶服務中的應用增加、自然語言處理在改善互動的應用，以及對人工智慧主導的決策流程的重視。

機器學習智慧流程自動化 (MLIPA) 是指利用機器學習演算法和人工智慧 (AI) 技術，實現各行各業業務流程的自動化和最佳化。 MLIPA 透過使用演算法分析資料、做出決策並採取行動，可以更有效率、更智慧地實現複雜工作流程和業務流程的自動化。

MLIPA 主要分為結構化和非結構化兩種。結構化 MLIPA 涉及應用演算法，利用結構化資料自動執行重複性任務或工作流程。它包含各種組件，包括解決方案、軟體工具、平台和專業服務，例如諮詢和顧問、設計和實施、培訓、支援和維護。這些解決方案應用於各種領域，包括資訊技術營運、客服中心管理、業務流程自動化、應用程式管理、內容管理和安全管理。 MLIPA 被廣泛的終端用戶使用，包括銀行、金融服務和保險 (BFSI)、通訊和資訊技術 (IT)、運輸和物流、媒體和娛樂、零售和電子商務、製造業、醫療保健和生命科學以及人力資源。

2025年春季美國突然提高關稅以及由此引發的貿易摩擦對資訊科技產業產生了重大影響，尤其是硬體製造、資料基礎設施和軟體部署。對進口半導體、電路基板和網路設備徵收更高的關稅，並推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司面臨更長的前置作業時間和價格壓力。同時，對專業軟體徵收的關稅以及主要國際市場的報復性措施擾亂了全球IT供應鏈，減少了海外對美國製造技術的需求。作為應對措施，該行業正在增加對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化來提高彈性並更有效地管理成本。

機器學習 (ML) 智慧流程自動化研究報告是商業研究公司 (The Business Research Company) 最新報告系列的一部分，該系列提供機器學習 (ML) 智慧流程自動化市場統計數據，例如全球市場規模、區域佔有率、競爭對手的機器學習 (ML) 智慧流程自動化市場佔有率、詳細的機器學習 (ML) 智慧流程自動化市場、市場市場以及機器學習自動化這份機器學習 (ML) 智慧流程自動化市場研究報告提供了全面的展望，並對產業現狀和未來趨勢進行了深入分析。

未來五年16.5%的成長預測，較我們先前對該市場的預測略有下降0.6%。這一下降主要源自於美國與其他國家之間關稅的影響。對雲端編配服務和進口認知API徵收的關稅可能會增加部署機器學習驅動的智慧流程自動化工具的成本。此外，互惠關稅以及貿易緊張局勢和限制措施升級對全球經濟和貿易的負面影響將產生更廣泛的影響。

預計未來幾年，日益成長的數位轉型需求將推動機器學習 (ML) 智慧流程自動化市場的成長。數位轉型涉及將數位技術整合到組織的產品、流程和策略中，以提高效率、生產力、客戶參與度、創新和收益。數位轉型的需求主要是由在快速發展和互聯互通的商業環境中提高效率、敏捷和競爭力的需求所驅動。由機器學習驅動的智慧流程自動化在數位轉型中發揮關鍵作用，它透過自動執行重複性任務、最佳化流程並支援跨各種業務職能的數據主導決策，最終提高效率和生產力。例如，2023 年 11 月，英國政府機構中央數位和數據辦公室報告稱，2022 年 4 月至 2023 年 4 月期間數位和數據專業增加了 19%，滿足了對數位專業知識的巨大需求。此外，歐盟委員會於2023年12月透露，到2023年，歐盟採用雲端基礎的解決方案的比例將增加4.2個百分點，屆時將有45.2%的企業購買雲端處理服務。因此，數位轉型需求的不斷成長正在推動機器學習智慧流程自動化市場的成長。

機器學習智慧流程自動化市場的關鍵參與者正專注於開發先進的解決方案，例如人工智慧平台，以最佳化營運並提高生產力。人工智慧平台是一種軟體解決方案，可促進人工智慧應用程式的創建和管理，從而改善決策並提高效率。例如，總部位於美國的全球科技公司Cognizant於2024年3月宣布成立其先進人工智慧實驗室。該實驗室將致力於透過研發推動人工智慧發展，旨在加速該領域的創新。該計劃將專注於推動人工智慧科學、創造智慧財產權以及開發人工智慧實行技術。

2023年1月，知名管理顧問公司麥肯錫收購了Iguazio，具體金額未揭露。此次策略性收購將使麥肯錫顯著加速並擴大其人工智慧應用。麥肯錫利用Iguazio的MLOps平台，旨在提供產業專用的人工智慧解決方案，以擴展人工智慧功能、提高生產力、縮短從概念驗證到運作的時間並提升可靠性。 Iguazio是一家總部位於以色列的軟體公司，專注於透過其MLOps平台提供智慧機器學習自動化流程，與麥肯錫的服務產品相得益彰，並鞏固了其在人工智慧主導的數位轉型領域的地位。

機器學習 (ML) 智慧流程自動化市場涵蓋提供自動資料提取、預測分析、異常偵測以及用於文字理解的自然語言處理 (NLP) 等服務的營業單位所獲得的收益。市場價值還包括服務供應商銷售的或包含在其服務產品中的任何相關商品的價值。僅包括營業單位之間交易或銷售給最終消費者的商品和服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球機器學習（ML）智慧流程自動化：PESTEL分析（政治、社會、技術、環境、法律因素、促進因素與限制因素）
  • 最終用途產業分析
  • 全球機器學習（ML）智慧流程自動化市場：成長率分析
  • 全球機器學習 (ML) 智慧流程自動化市場表現：規模與成長，2019-2024 年
  • 全球機器學習 (ML) 智慧流程自動化市場預測：規模與成長，2024-2029 年，2034 年預測
  • 全球機器學習 (ML) 智慧流程自動化：總潛在市場 (TAM)

第6章 市場細分

  • 全球機器學習 (ML) 智慧流程自動化市場：按類型、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 結構化
  • 非結構化
  • 全球機器學習 (ML) 智慧流程自動化市場：按組件、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 解決方案
  • 軟體工具
  • 平台
  • 服務
  • 專業服務
  • 諮詢或顧問
  • 設計與實現
  • 訓練
  • 支援和維護
  • 其他組件
  • 全球機器學習 (ML) 智慧流程自動化市場：按應用、實際情況和預測，2019-2024 年、2024-2029 年、2034 年
  • 資訊科技營運
  • 客服中心管理
  • 業務流程自動化
  • 應用程式管理
  • 內容管理
  • 安全管理
  • 其他用途
  • 全球機器學習 (ML) 智慧流程自動化市場：按最終用戶、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 銀行、金融服務和保險（BFSI）
  • 電訊與資訊科技（IT）
  • 運輸和物流
  • 媒體與娛樂
  • 零售與電子商務
  • 製造業
  • 醫療保健和生命科學
  • 人力資源管理
  • 全球機器學習 (ML) 智慧流程自動化市場：按類型、實際和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 資料提取
  • 資料分類
  • 資料處理
  • 資料整合
  • 全球機器學習 (ML) 智慧流程自動化市場：按非結構化、類型、實際和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 自然語言處理（NLP）
  • 影像識別
  • 文字分析
  • 語音辨識

第7章 區域和國家分析

  • 全球機器學習 (ML) 智慧流程自動化市場：區域表現與預測（2019-2024 年、2024-2029 年預測、2034 年預測）
  • 全球機器學習 (ML) 智慧流程自動化市場：國家/地區、績效與預測（2019-2024 年、2024-2029 年預測、2034 年預測）

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章：西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章：俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 機器學習（ML）智慧流程自動化市場：競爭格局
  • 機器學習（ML）智慧流程自動化市場：公司簡介
    • 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：其他領先和創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章：高潛力市場國家、細分市場與策略

  • 2029年機器學習（ML）智慧流程自動化市場：提供新機會的國家
  • 2029年機器學習（ML）智慧流程自動化市場：細分領域帶來新機會
  • 機器學習（ML）智慧流程自動化市場2029：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章 附錄

簡介目錄
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