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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 2024年

Machine Learning (ML) Intelligent Process Automation Global Market Report 2024
出版日: | 発行: The Business Research Company | ページ情報: 英文 175 Pages | 納期: 2～10営業日

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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 2024年
出版日: 2024年05月24日
発行: The Business Research Company
ページ情報: 英文 175 Pages
納期: 2～10営業日
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  • 概要
  • 目次
概要

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。2028年の年間平均成長率（CAGR）は18.2％で、381億9,000万米ドルに成長します。予測期間中の成長予測は、既存システムへの新興技術の統合、進化するニーズに対応するための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、発展途上国における自動化技術に対する需要の増加、全体的な顧客体験を向上させるための自動化への注力など、いくつかの要因によるものと考えられます。この期間に予想される主な動向には、自動化のためのクラウドベース技術の統合、効率向上のための機械学習アルゴリズムの活用の増加、顧客サービス強化のためのバーチャルエージェントの利用の増加、よりシームレスな対話を促進するための自然言語処理の採用、ビジネス成果を促進するためのAI主導の意思決定プロセスへの注力などがあります。

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は、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に牽引され、成長が見込まれています。デジタルトランスフォーメーションには、組織のプロセス、製品、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、収益を強化することが含まれます。この需要は、デジタル化と相互接続が進むビジネス環境において、効率性、俊敏性、競合を高める必要性から生じています。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、デジタルトランスフォーメーション・イニシアチブにおいて極めて重要な役割を果たし、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促進することで、効率性と生産性を高めます。例えば、中央デジタル・データ局が2023年11月に報告したように、英国政府のデジタル・データ専門職は2022年4月から2023年4月の間に19％という大幅な伸びを記録し、デジタル専門職の必須要件を満たしています。さらに、英国では600人以上の上級公務員がデジタルとデータに関するスキルアップを受けています。その結果、デジタルトランスフォーメーションに対する急増する需要は、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の原動力となっています。

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主なプレーヤーは、オペレーションの合理化と生産性の向上を目的とした機械学習プラットフォームを含む高度なソリューションの開発に向けて努力を注いでいます。機械学習プラットフォームは、インテリジェントなデータ分析と意思決定機能を通じて、ビジネスプロセスの効率的な自動化と最適化を促進します。例えば、グーグルは2021年5月、大規模な機械学習モデルの構築、訓練、展開を簡素化するために設計されたマネージド機械学習プラットフォーム、Vertex AIを発表しました。Vertex AIは、さまざまなGoogle Cloudサービスを統一されたUIとAPIに統合し、データ科学者やMLエンジニアがより効率的に作業できるようにします。このプラットフォームは、コンピューター・ビジョン、自然言語処理、会話AI、構造化データ解析のためのツールを含む、グーグル社内のAIツールキットへのアクセスを可能にします。これにより、データサイエンティストやMLエンジニアはAI技術を効率的に活用し、開発の生産性を加速し、機械学習モデルのデプロイを合理化することができます。

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 マクロ経済シナリオ

  • 高インフレが市場に与える影響
  • ウクライナ・ロシア戦争が市場に与える影響
  • COVID-19による市場への影響

第5章 世界の市場規模と成長

  • 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：促進要因と抑制要因
    • 市場促進要因
    • 市場抑制要因
  • 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, 2018-2023
  • 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, 2023-2028, 2033F

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, 2018-2023, 2023-2028F, 2033F
  • 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, 2018-2023, 2023-2028F, 2033F
  • 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
  • その他のコンポーネント
  • 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, 2018-2023, 2023-2028F, 2033F
  • 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
  • その他の用途
  • 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, 2018-2023, 2023-2028F, 2033F
  • 銀行、金融サービス、保険（BFSI）
  • 電気通信および情報技術（IT）
  • 輸送と物流
  • メディアとエンターテイメント
  • 小売業とeコマース
  • 製造業
  • ヘルスケアとライフサイエンス
  • ヒューマンリソース管理

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, 2018-2023, 2023-2028F, 2033F
  • 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, 2018-2023, 2023-2028F, 2033F

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
    • Accenture plc
    • International Business Machines Corporation（IBM）
    • SAP SE
    • Tata Consultancy Services Limited（TCS）

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 競合ベンチマーキング

第33章 競合ダッシュボード

第34章 主要な合併と買収

第35章 将来の見通しと潜在的な分析

第36章 付録

目次
Product Code: r17589

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 $16.60 billion in 2023 to $19.58 billion in 2024 at a compound annual growth rate (CAGR) of 17.9%. The expansion observed during the historical period can be attributed to several factors, including increased investment in optimizing business operations, widespread adoption of technology across various industry sectors, growing demand for intelligent process automation solutions and services, a focus on automation to reduce manual efforts, and an emphasis on enhancing 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 $38.19 billion in 2028 at a compound annual growth rate (CAGR) of 18.2%. The projected growth in the forecast period can be attributed to several factors, including the integration of emerging technologies into existing systems, the expansion and enhancement of product portfolios to meet evolving needs, the adoption of innovative automation solutions, increasing demand for automation technologies in developing countries, and a focus on automation to enhance the overall customer experience. Key trends expected during this period include the integration of cloud-based technologies for automation, increased utilization of machine learning algorithms to improve efficiency, a rise in the use of virtual agents for enhancing customer service, adoption of natural language processing to facilitate more seamless interactions, and a focus on AI-driven decision-making processes to drive business outcomes.

The machine learning (ML) intelligent process automation market is poised for growth, driven by the increasing demand for digital transformation. Digital transformation involves the integration of digital technologies into organizational processes, products, and strategies to enhance efficiency, productivity, customer engagement, innovation, and revenue. This demand stems from the necessity for heightened efficiency, agility, and competitiveness in an increasingly digitalized and interconnected business environment. Machine learning intelligent process automation plays a pivotal role in digital transformation initiatives, automating repetitive tasks, optimizing processes, and facilitating data-driven decision-making across various business functions, thereby enhancing efficiency and productivity. For example, as reported by the Central Digital and Data Office in November 2023, the UK government's digital and data profession witnessed a significant growth of 19% between April 2022 and April 2023, meeting essential requirements for digital expertise. Additionally, over 600 senior civil servants in the UK have undergone upskilling in digital and data essentials. Consequently, the burgeoning demand for digital transformation acts as a driving force behind the growth of the machine learning intelligent process automation market.

Key players in the machine learning intelligent process automation market are channeling their efforts towards the development of advanced solutions, including machine learning platforms, aimed at streamlining operations and enhancing productivity. Machine learning platforms facilitate efficient automation and optimization of business processes through intelligent data analysis and decision-making capabilities. For instance, in May 2021, Google introduced Vertex AI, a managed machine learning platform designed to simplify the building, training, and deployment of machine learning models at scale. Vertex AI consolidates various Google Cloud services into a unified UI and API, empowering data scientists and ML engineers to work more effectively. The platform grants access to Google's internal AI toolkit, encompassing tools for computer vision, natural language processing, conversational AI, and structured data analysis. This enables data scientists and ML engineers to leverage AI technologies efficiently, accelerate development productivity, and streamline the deployment of machine learning models.

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 2023. 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 2024 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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

  • 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
  • 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

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Machine Learning (ML) Intelligent Process Automation Market Size and Growth

  • 5.1. Global Machine Learning (ML) Intelligent Process Automation Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Machine Learning (ML) Intelligent Process Automation Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Machine Learning (ML) Intelligent Process Automation Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Structured
  • Unstructured
  • 6.2. Global Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ 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

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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Machine Learning (ML) Intelligent Process Automation Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, Impact Of COVID-19, 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Machine Learning (ML) Intelligent Process Automation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Machine Learning (ML) Intelligent Process Automation Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Accenture plc
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. International Business Machines Corporation (IBM)
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. SAP SE
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Tata Consultancy Services Limited (TCS)
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

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

33. Global Machine Learning (ML) Intelligent Process Automation Market Competitive Dashboard

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

35. Machine Learning (ML) Intelligent Process Automation Market Future Outlook and Potential Analysis

  • 35.1 Machine Learning (ML) Intelligent Process Automation Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Machine Learning (ML) Intelligent Process Automation Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Machine Learning (ML) Intelligent Process Automation Market In 2028 - 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