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세계의 기계학습(ML) 지능형 프로세스 자동화 시장 보고서(2024년)

Machine Learning (ML) Intelligent Process Automation Global Market Report 2024

발행일: | 리서치사: The Business Research Company | 페이지 정보: 영문 175 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    


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기계학습(ML) 지능형 프로세스 자동화 시장 규모는 향후 수년간 급성장이 전망됩니다. 2028년 연간 평균 성장률(CAGR)은 18.2%로, 381억 9,000만 달러로 성장합니다. 예측 기간 중 성장 전망은 기존 시스템에 신기술 통합, 진화하는 요구에 대응하기 위한 제품 포트폴리오 확대 및 강화, 혁신적인 자동화 솔루션 채택, 개발도상국의 자동화 기술 수요 증가, 전반적인 고객 경험을 개선하기 위한 자동화에 대한 집중 등 여러 가지 요인에 기인한다, 몇 가지 요인에 기인한 것으로 판단됩니다. 이 기간 중 예상되는 주요 동향으로는 자동화를 위한 클라우드 기반 기술 통합, 효율성 향상을 위한 머신러닝 알고리즘 활용 증가, 고객 서비스 강화를 위한 가상 에이전트 사용 증가, 원활한 대화를 촉진하기 위한 자연어 처리 채택, 비즈니스 성과를 촉진하기 위한 AI 기반 의사 결정 프로세스 비즈니스 성과를 촉진하기 위한 AI 기반 의사결정 프로세스에 집중하고 있습니다.

기계학습(ML) 지능형 프로세스 자동화 시장은 디지털 전환에 대한 수요 증가에 힘입어 성장할 것으로 예상됩니다. 디지털 전환은 조직의 프로세스, 제품 및 전략에 디지털 기술을 통합하여 효율성, 생산성, 고객 참여, 혁신 및 매출을 향상시키는 것을 포함합니다. 이러한 요구는 디지털화 및 상호연결된 비즈니스 환경에서 효율성, 민첩성, 경쟁 우위를 확보하기 위한 필요성에서 비롯됩니다. 머신러닝을 통한 지능형 프로세스 자동화는 디지털 전환 구상에서 매우 중요한 역할을 하며, 반복적인 작업을 자동화하고, 프로세스를 최적화하며, 다양한 비즈니스 기능에서 데이터베이스 의사결정을 촉진하여 효율성과 생산성을 향상시킵니다. 효율성과 생산성을 높입니다. 예를 들어 중앙디지털데이터국이 2023년 11월에 보고한 바에 따르면 영국 정부의 디지털 데이터 전문직은 2022년 4월부터 2023년 4월까지 19% 증가하여 디지털 전문직의 필수 요건을 충족하고 있습니다. 또한 영국에서는 600명 이상의 고위 공무원들이 디지털 및 데이터 관련 기술 교육을 받고 있습니다. 그 결과, 디지털 전환에 대한 수요가 급증하면서 머신러닝 지능형 프로세스 자동화 시장 성장의 원동력이 되고 있습니다.

기계학습(ML) 지능형 프로세스 자동화 시장의 주요 업체들은 운영을 간소화하고 생산성을 향상시키기 위해 머신러닝 플랫폼을 포함한 고급 솔루션 개발에 주력하고 있습니다. 머신러닝 플랫폼은 지능형 데이터 분석 및 의사결정 기능을 통해 비즈니스 프로세스의 효율적인 자동화 및 최적화를 촉진합니다. 예를 들어 구글은 2021년 5월 대규모 머신러닝 모델의 구축, 훈련 및 배포를 간소화하기 위해 설계된 관리형 머신러닝 플랫폼인 버텍스 AI(Vertex AI)를 발표했으며, 버텍스 AI는 다양한 구글 클라우드 서비스를 통합된 UI와 API로 통합해 데이터 과학자, ML 엔지니어, 데이터 분석가, 데이터 과학자 및 머신러닝 전문가에게 제공합니다. 통합하여 데이터 과학자와 ML 엔지니어들이 보다 효율적으로 작업할 수 있도록 지원합니다. 이 플랫폼은 컴퓨터 비전, 자연어 처리, 대화형 AI, 구조화된 데이터 분석을 위한 툴을 포함한 구글의 AI 툴킷에 대한 액세스를 제공합니다. 이를 통해 데이터 과학자와 ML 엔지니어는 AI 기술을 효율적으로 활용하고, 개발 생산성을 높이고, 머신러닝 모델 배포를 간소화할 수 있습니다.

목차

제1장 주요 요약

제2장 시장의 특징

제3장 시장 동향과 전략

제4장 거시경제 시나리오

  • 고인플레이션이 시장에 미치는 영향
  • 우크라이나·러시아 전쟁이 시장에 미치는 영향
  • 시장에 대한 COVID-19의 영향

제5장 세계 시장 규모와 성장

  • 세계의 기계학습(ML) 지능형 프로세스 자동화 시장 : 촉진요인과 억제요인
    • 시장 촉진요인
    • 시장 억제요인
  • 세계의 기계학습(ML) 지능형 프로세스 자동화 시장의 실적 : 규모와 성장, 2018-2023
  • 세계의 기계학습(ML) 지능형 프로세스 자동화 시장 예측 : 규모와 성장, 2023-2028, 2033F

제6장 시장 세분화

  • 세계의 기계학습(ML) 지능형 프로세스 자동화 시장 : 유형별, 실적과 예측, 2018-2023, 2023-2028F, 2033F
  • 구조화
  • 비구조화
  • 세계의 기계학습(ML) 지능형 프로세스 자동화 시장 : 컴포넌트별, 실적과 예측, 2018-2023, 2023-2028F, 2033F
  • 솔루션
  • 소프트웨어 툴
  • 플랫폼
  • 서비스
  • 전문 서비스
  • 어드바이스 또는 컨설팅
  • 설계와 실장
  • 트레이닝
  • 지원과 정비
  • 기타 컴포넌트
  • 세계의 기계학습(ML) 지능형 프로세스 자동화 시장 : 용도별, 실적과 예측, 2018-2023, 2023-2028F, 2033F
  • 정보기술 오퍼레이션
  • 컨택센터 관리
  • 비즈니스 프로세스 자동화
  • 애플리케이션 관리
  • 컨텐츠 관리
  • 보안 관리
  • 기타 용도
  • 세계의 기계학습(ML) 지능형 프로세스 자동화 시장 : 최종사용자별, 실적과 예측, 2018-2023, 2023-2028F, 2033F
  • 은행, 금융 서비스, 보험(BFSI)
  • 통신 및 정보기술(IT)
  • 운송과 물류
  • 미디어와 엔터테인먼트
  • 소매업과 E-Commerce
  • 제조업
  • 헬스케어와 생명과학
  • 인적자원 관리

제7장 지역별·국가별 분석

  • 세계의 기계학습(ML) 지능형 프로세스 자동화 시장 : 지역별, 실적과 예측, 2018-2023, 2023-2028F, 2033F
  • 세계의 기계학습(ML) 지능형 프로세스 자동화 시장 : 국가별, 실적과 예측, 2018-2023, 2023-2028F, 2033F

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 개요

  • 기계학습(ML) 지능형 프로세스 자동화 시장 : 경쟁 구도
  • 기계학습(ML) 지능형 프로세스 자동화 시장 : 기업 개요
    • Alibaba Group Holding Limited
    • Accenture plc
    • International Business Machines Corporation(IBM)
    • SAP SE
    • Tata Consultancy Services Limited(TCS)

제31장 기타 대기업과 혁신적 기업

  • 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.

제32장 경쟁 벤치마킹

제33장 경쟁 대시보드

제34장 주요 합병과 인수

제35장 전망과 잠재적 분석

제36장 부록

KSA 24.05.31

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

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  • 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.
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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 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
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