機械学習（ML）インテリジェントプロセスオートメーションの世界市場レポート 2025年

機械学習（ML）インテリジェントプロセスオートメーションの市場規模は、今後数年で急成長が見込まれます。2029年の年間平均成長率（CAGR）は18.1％で、450億9,000万米ドルに成長します。予測期間の成長は、新興技術の統合、製品ポートフォリオの拡大と強化、革新的な自動化ソリューションの採用、新興諸国における自動化技術への需要の増加、顧客体験向上のための自動化への注力などに起因すると考えられます。予測期間における主な動向としては、自動化のためのクラウドベース技術の統合、効率化のための機械学習アルゴリズムの使用の増加、顧客サービス強化のためのバーチャルエージェントの増加、インタラクション向上のための自然言語処理の採用、AI主導の意思決定プロセスの重視などが挙げられます。

デジタルトランスフォーメーションに対する需要の高まりは、今後数年間の機械学習（ML）インテリジェントプロセスオートメーション市場の成長を促進すると予想されます。デジタルトランスフォーメーションには、組織の製品、プロセス、戦略にデジタル技術を統合し、効率性、生産性、顧客エンゲージメント、イノベーション、収益を向上させることが含まれます。デジタルトランスフォーメーションの需要は、主に、急速に進化し相互接続されたビジネス環境において、効率性、敏捷性、競合性を高める必要性によってもたらされます。機械学習によるインテリジェントプロセスオートメーションは、反復タスクの自動化、プロセスの最適化、さまざまなビジネス機能にわたるデータ主導の意思決定を可能にし、最終的に効率性と生産性を高めることで、デジタルトランスフォーメーションにおいて重要な役割を果たしています。例えば、2023年11月、英国の政府機関であるCentral Digital and Data Officeは、2022年4月から2023年4月の間にデジタルとデータの専門職が19%増加し、デジタル専門知識に対する重要な需要に応えていると報告しました。さらに、2023年12月、欧州委員会は、EUにおけるクラウドベースのソリューション導入が2023年に4.2ポイント増加し、45.2%の企業がクラウドコンピューティングサービスを購入したことを明らかにしました。その結果、デジタルトランスフォーメーションに対する需要の高まりが、機械学習インテリジェントプロセスオートメーション市場の成長を促進しています。

機械学習インテリジェントプロセスオートメーション市場の主なプレーヤーは、業務を最適化し生産性を高めるために、人工知能プラットフォームなどの高度なソリューションの開発に注力しています。人工知能プラットフォームは、AIアプリケーションの作成と管理を容易にし、意思決定と効率を高めるソフトウェアソリューションです。例えば、米国を拠点とするグローバルテクノロジー企業Cognizantは2024年3月、先進人工知能ラボを発表しました。このラボは、研究開発を通じてAIを進化させることに特化し、この分野のイノベーションを加速させることを目的としています。この構想では、AI科学の発展、知的財産の創出、AI活用を可能にする技術の開発に重点を置いています。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場- 金利、インフレ、地政学、コロナ、回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

• 世界の機械学習（ML）インテリジェントプロセスオートメーション市場のPESTEL分析（政治、社会、技術、環境、法的要因、促進要因、抑制要因）
• 最終用途産業の分析
• 世界の機械学習（ML）インテリジェントプロセスオートメーション市場：成長率分析
• 世界の機械学習（ML）インテリジェントプロセスオートメーション市場の実績：規模と成長、2019～2024年
• 世界の機械学習（ML）インテリジェントプロセスオートメーション市場の予測：規模と成長、2024～2029年、2034年
• 世界の機械学習（ML）インテリジェントプロセスオートメーション総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界の機械学習（ML）インテリジェントプロセスオートメーション市場：タイプ別、実績と予測、2019～2024年、2024～2029年、2034年
• 構造化
• 非構造化
• 世界の機械学習（ML）インテリジェントプロセスオートメーション市場：コンポーネント別、実績と予測、2019～2024年、2024～2029年、2034年
• ソリューション
• ソフトウェアツール
• プラットフォーム
• サービス
• プロフェッショナルサービス
• アドバイスまたはコンサルティング
• 設計と実装
• トレーニング
• サポートとメンテナンス
• その他
• 世界の機械学習（ML）インテリジェントプロセスオートメーション市場：用途別、実績と予測、2019～2024年、2024～2029年、2034年
• 情報技術オペレーション
• コンタクトセンター管理
• ビジネスプロセス自動化
• アプリケーション管理
• コンテンツ管理
• セキュリティ管理
• その他
• 世界の機械学習（ML）インテリジェントプロセスオートメーション市場：エンドユーザー別、実績と予測、2019～2024年、2024～2029年、2034年
• 銀行、金融サービス、保険（BFSI）
• 電気通信・情報技術（IT）
• 輸送・物流
• メディア・エンターテイメント
• 小売業・eコマース
• 製造業
• ヘルスケア・ライフサイエンス
• 人事管理
• 世界の機械学習（ML）インテリジェントプロセスオートメーション市場：構造化のサブセグメンテーション：タイプ別、実績と予測、2019～2024年、2024～2029年、2034年
• データ抽出
• データ分類
• データ処理
• データ統合
• 世界の機械学習（ML）インテリジェントプロセスオートメーション市場：非構造化のサブセグメンテーション：タイプ別、実績と予測、2019～2024年、2024～2029年、2034年
• 自然言語処理（NLP）
• 画像認識
• テキスト分析
• 音声認識

第7章 地域別・国別分析

• 世界の機械学習（ML）インテリジェントプロセスオートメーション市場：地域別、実績と予測、2019～2024年、2024～2029年、2034年
• 世界の機械学習（ML）インテリジェントプロセスオートメーション市場：国別、実績と予測、2019～2024年、2024～2029年、2034年

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• 機械学習（ML）インテリジェントプロセスオートメーション市場：競合情勢
• 機械学習（ML）インテリジェントプロセスオートメーション市場：企業プロファイル
  • 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 その他の大手企業と革新的企業

• 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 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

• 機械学習（ML）インテリジェントプロセスオートメーション市場2029年：新たな機会を提供する国
• 機械学習（ML）インテリジェントプロセスオートメーション市場2029年：新たな機会を提供するセグメント
• 機械学習（ML）インテリジェントプロセスオートメーション市場2029年：成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

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.

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 $23.19 billion in 2025 at a compound annual growth rate (CAGR) of 18.4%. 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 $45.09 billion in 2029 at a compound annual growth rate (CAGR) of 18.1%. 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 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? 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 Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• 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)
• 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, Covid And Recovery On The Market

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