시장보고서
상품코드
1869938

세계의 자동 머신러닝(AutoML) 시장 : 규모, 점유율, 동향 분석(제공 형태별, 전개별, 기업 규모별, 용도별, 업계별, 지역별), 부문별 예측(2025-2033년)

Automated Machine Learning Market Size, Share & Trends Analysis Report By Offering (Solution, Services), By Deployment, By Enterprise Size, By Application, By Vertical, By Region, And Segment Forecasts, 2025 - 2033

발행일: | 리서치사: Grand View Research | 페이지 정보: 영문 100 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

자동 머신러닝(AutoML) 시장 요약

세계의 자동 머신러닝(AutoML) 시장 규모는 2024년 35억 달러로 평가되었으며, 2033년까지 612억 3,000만 달러에 이를 것으로 예측됩니다.

2025년부터 2033년까지 CAGR 38.0%로 성장할 전망입니다. 이러한 성장은 자동 머신러닝(AutoML)이 데이터 내 불일치, 오류 및 기타 문제를 파악하고 사용자에게 옵션, 제안, 이상값을 표시하는 능력으로 인해 발생합니다. 전문가가 이러한 모든 정보를 제시하면 여러 모델을 원활하게 큐레이트하여 시간과 노력을 절약할 수 있습니다.

현재 TPOT, H2O.ai, Google AutoML, DataRobot과 같은 AutoML 오픈소스 및 상용 도구는 결과 예측을 위한 작업 개발을 효율화하는 데 이상적입니다. 이러한 인기 솔루션은 머신러닝 파이프라인의 일부 또는 전부를 자동화하는 경향이 있습니다. 예를 들어, 엔터프라이즈 AI 플랫폼인 DataRobot은 데이터 사이언스를 누구나 사용할 수 있게 하고 AI 솔루션의 생성, 배포, 관리 프로세스 전체를 대규모로 자동화합니다. 이렇게 하면 수동 워크플로우에 대한 종속성을 없애고 반복적이고 시간 소모적인 단계를 자동화할 수 있습니다. 신규 유저도 고정밀 모델 구축을 가능하게 해, AI를 신속하게 프로덕션 환경에 도입하는 지름길을 제공합니다.

자동 머신러닝(AutoML)은 반복적이고 시간이 많이 소요되는 작업을 자동화하는 중요한 프로세스입니다. 개발자, 분석가 및 데이터 사이언스자가 생산성, 효율성 및 대규모성을 갖춘 머신러닝 모델을 구축할 수 있습니다. AutoML은 머신러닝 모델을 구현하고 교육하는 데 필요한 지식 기반 리소스를 최소화함으로써 주목을 받고 있습니다. 또한 AutoML에 대한 수요 증가는 주로 오류와 바이어스의 발생 가능성을 최소화함으로써 기업이 통찰력을 높이고 모델의 정확성을 향상시키는 데 도움이 되는 능력 때문입니다. BFSI(은행 및 금융 및 보험), 의료, IT 및 통신, 소매 등의 최종 사용자는 데이터 전처리, 모델 선택, 사전 학습된 모델의 자동화를 실현하는 가치 있는 파이프라인을 구축하기 위해 AI 노력을 가속화하기 위해 AutoML에 대한 투자를 확대할 것으로 예측됩니다.

자동 머신러닝(AutoML)의 혁신은 다양한 산업에서 큰 진보를 가져오고 기업 운영 방법과 고객과의 관계를 변화시키고 있습니다. 복잡한 프로세스 자동화를 통해 조직은 네트워크 동작을 신속하게 분석하고 필요한 절차를 자동으로 수행할 수 있어 처리 속도와 성능이 향상됩니다. 또한 머신러닝을 통한 예지 보전은 기업이 잠재적인 위험을 파악하고 고장을 예측하는 데 도움이 되어 생산성 향상과 비용 절감을 실현합니다. 머신러닝은 실시간 비즈니스 의사결정도 촉진하여 기업이 대규모 데이터세트에서 귀중한 지식을 추출하고 정보를 기반으로 판단을 내릴 수 있도록 합니다. 소형 장치에서 작동하는 머신러닝의 일종인 TinyML은 배터리 구동 장치 및 IoT 용도에 이상적이며 전력 소비, 지연 및 대역폭을 줄이면서 사용자의 프라이버시와 효율성을 유지합니다.

자주 묻는 질문

  • 자동 머신러닝(AutoML) 시장 규모는 어떻게 예측되나요?
  • 자동 머신러닝(AutoML)의 주요 기능은 무엇인가요?
  • AutoML 도구의 예시는 무엇이 있나요?
  • 자동 머신러닝(AutoML)의 수요 증가 원인은 무엇인가요?
  • 자동 머신러닝(AutoML)이 기업 운영에 미치는 영향은 무엇인가요?
  • 자동 머신러닝(AutoML)의 최종 사용자는 어떤 산업에 속하나요?

목차

제1장 조사 방법과 범위

제2장 주요 요약

제3장 자동 머신러닝(AutoML) 시장의 변수, 동향, 범위

  • 시장 도입/계통 전망
  • 시장 규모와 성장 전망
  • 업계 밸류체인 분석
  • 시장 역학
    • 시장 성장 촉진요인 분석
    • 시장 성장 억제요인 분석
    • 업계의 기회
    • 업계의 과제
  • 자동 머신러닝(AutoML) 시장 분석 도구
    • Porter's Five Forces 분석
    • PESTEL 분석

제4장 자동 머신러닝(AutoML) 시장 : 제공 형태별 추정 및 동향 분석

  • 부문 대시보드
  • 자동 머신러닝(AutoML) 시장 : 제공 형태별 변동 분석, 2024년 및 2033년
  • 솔루션
  • 서비스

제5장 자동 머신러닝(AutoML) 시장 : 전개별 추정 및 동향 분석

  • 부문 대시보드
  • 자동 머신러닝(AutoML) 시장 : 전개별 변동 분석, 2024년 및 2033년
  • On-Premise
  • 클라우드

제6장 자동 머신러닝(AutoML) 시장 : 기업 규모별 추정 및 동향 분석

  • 부문 대시보드
  • 자동 머신러닝(AutoML) 시장 : 기업 규모별 변동 분석, 2024년 및 2033년
  • 대기업
  • 중소기업

제7장 자동 머신러닝(AutoML) 시장 : 용도별 추정 및 동향 분석

  • 부문 대시보드
  • 자동 머신러닝(AutoML) 시장 : 용도별 변동 분석, 2024년 및 2033년
  • 데이터 처리
  • 변수 가공
  • 모델 선택
  • 하이퍼파라미터 최적화 튜닝
  • 모델 앙상블
  • 기타

제8장 자동 머신러닝(AutoML) 시장 : 업계별 추정 및 동향 분석

  • 부문 대시보드
  • 자동 머신러닝(AutoML) 시장 : 업계별 변동 분석, 2024년 및 2033년
  • BFSI
  • 소매업 및 전자상거래
  • 헬스케어
  • 정부 및 방위
  • 제조업
  • 미디어 및 엔터테인먼트
  • 자동차 및 운송
  • IT 및 통신
  • 기타

제9장 자동 머신러닝 시장 : 지역별 추정 및 동향 분석

  • 자동 머신러닝(AutoML) 시장 점유율 : 지역별, 2024년 및 2033년
  • 북미
    • 제공 형태별, 2021-2033년
    • 전개별, 2021-2033년
    • 기업 규모별, 2021-2033년
    • 용도별, 2021-2033년
    • 업계별, 2021-2033년
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 제공 형태별, 2021-2033년
    • 전개별, 2021-2033년
    • 기업 규모별, 2021-2033년
    • 용도별, 2021-2033년
    • 업계별, 2021-2033년
    • 영국
    • 독일
    • 프랑스
  • 아시아태평양
    • 제공 형태별, 2021-2033년
    • 전개별, 2021-2033년
    • 기업 규모별, 2021-2033년
    • 용도별, 2021-2033년
    • 업계별, 2021-2033년
    • 중국
    • 일본
    • 인도
    • 호주
    • 한국
  • 라틴아메리카
    • 제공 형태별, 2021-2033년
    • 전개별, 2021-2033년
    • 기업 규모별, 2021-2033년
    • 용도별, 2021-2033년
    • 업계별, 2021-2033년
    • 브라질
  • 중동 및 아프리카
    • 제공 형태별, 2021-2033년
    • 전개별, 2021-2033년
    • 기업 규모별, 2021-2033년
    • 용도별, 2021-2033년
    • 업계별, 2021-2033년
    • 아랍에미리트(UAE)
    • 남아프리카
    • 사우디아라비아

제10장 경쟁 구도

  • 주요 시장 진출기업에 의한 최근의 동향과 영향 분석
  • 기업 분류
  • 기업의 시장 포지셔닝
  • 기업의 시장 점유율 분석
  • 기업 히트맵 분석
  • 전략 매핑
    • 확대
    • 합병과 인수
    • 파트너십 및 협업
    • 새로운 최종 용도의 발매
    • 연구개발
  • 기업 프로파일
    • Amazon Web Services, Inc.
    • Google LLC
    • Microsoft
    • DataRobot, Inc.
    • H2O.ai.
    • Databricks
    • Oracle
    • Alibaba Cloud
    • Akkio Inc.
    • Clarifai, Inc.
JHS 25.12.03

Automated Machine Learning Market Summary

The global automated machine learning market size was valued at USD 3.50 billion in 2024 and is projected to reach USD 61.23 billion by 2033, growing at a CAGR of 38.0% from 2025 to 2033. This growth is attributed to Automated machine learning (AutoML's) capability to identify discrepancies, errors, and other issues within the data, and present the user with choices, suggestions, as well as suggest outliers. Once the expert is presented with all this information, they can seamlessly curate multiple models, saving them time and effort.

Currently, AutoML open-source and commercial tools such as TPOT, H2O.ai, Google AutoML, and DataRobot are some of the best suited for streamlining the development of tasks wherein the goal is to predict an outcome/ result. These popular solutions tend to automate some or all the ML pipelines. For instance, DataRobot, the enterprise AI platform, makes data science accessible to everyone and automates the entire process of creating, deploying, and managing AI solutions at scale. It eliminates the reliance on manual workflows, automates repetitive and time-intensive steps, enables new users to build highly accurate models, and provides a fast-path for getting AI into production.

Automated machine learning is an essential process of automating iterative and time-consuming tasks. It enables developers, analysts, and data scientists to build ML models with productivity, efficiency, and high scale. AutoML has gained traction to minimize the knowledge-based resources needed to implement and train machine learning models. Moreover, Bullish demand for AutoML is mainly attributed to its ability to help enterprises boost insights and enhance model accuracy by minimizing chances for error or bias. End-users, including BFSI, healthcare, IT & telecom, and retail, are expected to inject funds into AutoML to rev up their AI efforts to create a valuable pipeline to automate data preprocessing, model selection, and pre-trained models.

Innovation in automated machine learning has led to significant advancements in various industries, transforming the way businesses operate and interact with their customers. Automation of complex processes enables organizations to speedily analyze network behavior and automatically execute required steps, enhancing processing speeds and performance. In addition, predictive maintenance using machine learning helps companies identify potential risks and predict failures, thereby increasing productivity and saving costs. Real-time business decision making is also facilitated through machine learning, allowing businesses to extract valuable insights from large datasets and make informed decisions. TinyML, a type of machine learning that runs on smaller devices, is ideal for battery-operated devices and IoT applications, reducing power consumption, latency, and bandwidth while maintaining user privacy and efficiency.

Global Automated Machine Learning Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented global automated machine learning market report based on offering, enterprise size, deployment, application, vertical, and region.

  • Offering Outlook (Revenue, USD Billion, 2021 - 2033)
  • Solution
  • Services
  • Deployment Outlook (Revenue, USD Billion, 2021 - 2033)
  • On-Premises
  • Cloud
  • Enterprise Size Outlook (Revenue, USD Billion, 2021 - 2033)
  • Large Enterprises
  • SMEs
  • Application Outlook (Revenue, USD Billion, 2021 - 2033)
  • Data Processing
  • Feature Engineering
  • Model Selection
  • Hyperparameter Optimization Tuning
  • Model Ensembling
  • Others
  • Vertical Outlook (Revenue, USD Billion, 2021 - 2033)
  • BFSI
  • Retail & E-Commerce
  • Healthcare
  • Government & Defense
  • Manufacturing
  • Media & Entertainment
  • Automotive & Transportation
  • IT & Telecommunications
  • Others
  • Regional Outlook (Revenue, USD Billion, 2021 - 2033)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
  • Latin America
    • Brazil
  • Middle East and Africa (MEA)
    • UAE
    • KSA
    • South Africa

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Market Definitions
  • 1.3. Research Methodology
    • 1.3.1. Information Procurement
    • 1.3.2. Information or Data Analysis
    • 1.3.3. Market Formulation & Data Visualization
    • 1.3.4. Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. Automated Machine Learning Market Variables, Trends, & Scope

  • 3.1. Market Introduction/Lineage Outlook
  • 3.2. Market Size and Growth Prospects (USD Billion)
  • 3.3. Industry Value Chain Analysis
  • 3.4. Market Dynamics
    • 3.4.1. Market Drivers Analysis
    • 3.4.2. Market Restraints Analysis
    • 3.4.3. Industry Opportunities
    • 3.4.4. Industry Challenges
  • 3.5. Automated Machine Learning Market Analysis Tools
    • 3.5.1. Porter's Analysis
      • 3.5.1.1. Bargaining power of the suppliers
      • 3.5.1.2. Bargaining power of the buyers
      • 3.5.1.3. Threats of substitution
      • 3.5.1.4. Threats from new entrants
      • 3.5.1.5. Competitive rivalry
    • 3.5.2. PESTEL Analysis
      • 3.5.2.1. Political landscape
      • 3.5.2.2. Economic and Social landscape
      • 3.5.2.3. Technological landscape
      • 3.5.2.4. Environmental landscape
      • 3.5.2.5. Legal landscape

Chapter 4. Automated Machine Learning Market: Offering Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. Automated Machine Learning Market: Offering Movement Analysis, USD Billion, 2024 & 2033
  • 4.3. Solution
    • 4.3.1. Solution Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 4.4. Services
    • 4.4.1. Services Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)

Chapter 5. Automated Machine Learning Market: Deployment Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. Automated Machine Learning Market: Deployment Movement Analysis, USD Billion, 2024 & 2033
  • 5.3. On-Premises
    • 5.3.1. On-Premises Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 5.4. Cloud
    • 5.4.1. Cloud Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)

Chapter 6. Automated Machine Learning Market: Enterprise Size Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. Automated Machine Learning Market: Enterprise Size Movement Analysis, USD Billion, 2024 & 2033
  • 6.3. Large Enterprises
    • 6.3.1. Large Enterprises Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 6.4. SMEs
    • 6.4.1. SMEs Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)

Chapter 7. Automated Machine Learning Market: Application Estimates & Trend Analysis

  • 7.1. Segment Dashboard
  • 7.2. Automated Machine Learning Market: Application Movement Analysis, USD Billion, 2024 & 2033
  • 7.3. Data Processing
    • 7.3.1. Data Processing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 7.4. Feature Engineering
    • 7.4.1. Feature Engineering Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 7.5. Model Selection
    • 7.5.1. Model Selection Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 7.6. Hyperparameter Optimization Tuning
    • 7.6.1. Hyperparameter Optimization Tuning Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 7.7. Model Ensembling
    • 7.7.1. Model Ensembling Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 7.8. Others
    • 7.8.1. Others Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)

Chapter 8. Automated Machine Learning Market: Vertical Estimates & Trend Analysis

  • 8.1. Segment Dashboard
  • 8.2. Automated Machine Learning Market: Vertical Movement Analysis, USD Billion, 2024 & 2033
  • 8.3. BFSI
    • 8.3.1. BFSI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 8.4. Retail and E-commerce
    • 8.4.1. Retail and E-commerce Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 8.5. Healthcare
    • 8.5.1. Healthcare Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 8.6. Government & Defense
    • 8.6.1. Government & Defense Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 8.7. Manufacturing
    • 8.7.1. Manufacturing Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 8.8. Media and Entertainment
    • 8.8.1. Media and Entertainment Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 8.9. Automotive & Transportation
    • 8.9.1. Automotive & Transportation Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 8.10. IT & Telecommunications
    • 8.10.1. IT & Telecommunications Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
  • 8.11. Others
    • 8.11.1. Others Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)

Chapter 9. Automated Machine Learning Market: Regional Estimates & Trend Analysis

  • 9.1. Automated Machine Learning Market Share, by Region, 2024 & 2033 USD Billion
  • 9.2. North America
    • 9.2.1. North America Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 9.2.2. North America Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
    • 9.2.3. North America Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
    • 9.2.4. North America Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
    • 9.2.5. North America Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
    • 9.2.6. North America Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
    • 9.2.7. U.S.
      • 9.2.7.1. U.S. Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
      • 9.2.7.2. U.S. Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
      • 9.2.7.3. U.S. Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
      • 9.2.7.4. U.S. Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
      • 9.2.7.5. U.S. Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
      • 9.2.7.6. U.S. Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
    • 9.2.8. Canada
      • 9.2.8.1. Canada Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
      • 9.2.8.2. Canada Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
      • 9.2.8.3. Canada Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
      • 9.2.8.4. Canada Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
      • 9.2.8.5. Canada Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
      • 9.2.8.6. Canada Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
    • 9.2.9. Mexico
      • 9.2.9.1. Mexico Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
      • 9.2.9.2. Mexico Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
      • 9.2.9.3. Mexico Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
      • 9.2.9.4. Mexico Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
      • 9.2.9.5. Mexico Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
      • 9.2.9.6. Mexico Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
  • 9.3. Europe
    • 9.3.1. Europe Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 9.3.2. Europe Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
    • 9.3.3. Europe Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
    • 9.3.4. Europe Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
    • 9.3.5. Europe Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
    • 9.3.6. Europe Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
    • 9.3.7. UK
      • 9.3.7.1. UK Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
      • 9.3.7.2. UK Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
      • 9.3.7.3. UK Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
      • 9.3.7.4. UK Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
      • 9.3.7.5. UK Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
      • 9.3.7.6. UK Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
    • 9.3.8. Germany
      • 9.3.8.1. Germany Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
      • 9.3.8.2. Germany Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
      • 9.3.8.3. Germany Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
      • 9.3.8.4. Germany Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
      • 9.3.8.5. Germany Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
      • 9.3.8.6. Germany Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
    • 9.3.9. France
      • 9.3.9.1. France Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
      • 9.3.9.2. France Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
      • 9.3.9.3. France Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
      • 9.3.9.4. France Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
      • 9.3.9.5. France Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
      • 9.3.9.6. France Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
  • 9.4. Asia Pacific
    • 9.4.1. Asia Pacific Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 9.4.2. Asia Pacific Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
    • 9.4.3. Asia Pacific Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
    • 9.4.4. Asia Pacific Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
    • 9.4.5. Asia Pacific Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
    • 9.4.6. Asia Pacific Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
    • 9.4.7. China
      • 9.4.7.1. China Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
      • 9.4.7.2. China Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
      • 9.4.7.3. China Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
      • 9.4.7.4. China Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
      • 9.4.7.5. China Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
      • 9.4.7.6. China Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
    • 9.4.8. Japan
      • 9.4.8.1. Japan Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
      • 9.4.8.2. Japan Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
      • 9.4.8.3. Japan Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
      • 9.4.8.4. Japan Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
      • 9.4.8.5. Japan Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
      • 9.4.8.6. Japan Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
    • 9.4.9. India
      • 9.4.9.1. India Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
      • 9.4.9.2. India Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
      • 9.4.9.3. India Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
      • 9.4.9.4. India Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
      • 9.4.9.5. India Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
      • 9.4.9.6. India Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
    • 9.4.10. Australia
      • 9.4.10.1. Australia Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
      • 9.4.10.2. Australia Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
      • 9.4.10.3. Australia Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
      • 9.4.10.4. Australia Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
      • 9.4.10.5. Australia Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
      • 9.4.10.6. Australia Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
    • 9.4.11. South Korea
      • 9.4.11.1. South Korea Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
      • 9.4.11.2. South Korea Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
      • 9.4.11.3. South Korea Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
      • 9.4.11.4. South Korea Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
      • 9.4.11.5. South Korea Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
      • 9.4.11.6. South Korea Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
  • 9.5. Latin America
    • 9.5.1. Latin America Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 9.5.2. Latin America Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
    • 9.5.3. Latin America Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
    • 9.5.4. Latin America Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
    • 9.5.5. Latin America Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
    • 9.5.6. Latin America Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
    • 9.5.7. Brazil
      • 9.5.7.1. Brazil Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
      • 9.5.7.2. Brazil Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
      • 9.5.7.3. Brazil Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
      • 9.5.7.4. Brazil Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
      • 9.5.7.5. Brazil Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
      • 9.5.7.6. Brazil Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
  • 9.6. Middle East and Africa
    • 9.6.1. Middle East and Africa Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
    • 9.6.2. Middle East and Africa Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
    • 9.6.3. Middle East and Africa Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
    • 9.6.4. Middle East and Africa Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
    • 9.6.5. Middle East and Africa Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
    • 9.6.6. Middle East & Africa Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
    • 9.6.7. UAE
      • 9.6.7.1. UAE Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
      • 9.6.7.2. UAE Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
      • 9.6.7.3. UAE Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
      • 9.6.7.4. UAE Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
      • 9.6.7.5. UAE Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
      • 9.6.7.6. UAE Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
    • 9.6.8. South Africa
      • 9.6.8.1. South Africa Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
      • 9.6.8.2. South Africa Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
      • 9.6.8.3. South Africa Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
      • 9.6.8.4. South Africa Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
      • 9.6.8.5. South Africa Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
      • 9.6.8.6. South Africa Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)
    • 9.6.9. KSA
      • 9.6.9.1. KSA Automated Machine Learning Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
      • 9.6.9.2. KSA Automated Machine Learning Market Estimates and Forecasts, by Offering, 2021 - 2033 (USD Billion)
      • 9.6.9.3. KSA Automated Machine Learning Market Estimates and Forecasts, by Deployment, 2021 - 2033 (USD Billion)
      • 9.6.9.4. KSA Automated Machine Learning Market Estimates and Forecasts, by Enterprise Size, 2021 - 2033 (USD Billion)
      • 9.6.9.5. KSA Automated Machine Learning Market Estimates and Forecasts, by Application, 2021 - 2033 (USD Billion)
      • 9.6.9.6. KSA Automated Machine Learning Market Estimates and Forecasts, by Vertical, 2021 - 2033 (USD Billion)

Chapter 10. Competitive Landscape

  • 10.1. Recent Developments & Impact Analysis by Key Market Participants
  • 10.2. Company Categorization
  • 10.3. Company Market Positioning
  • 10.4. Company Market Share Analysis
  • 10.5. Company Heat Map Analysis
  • 10.6. Strategy Mapping
    • 10.6.1. Expansion
    • 10.6.2. Mergers & Acquisition
    • 10.6.3. Partnerships & Collaborations
    • 10.6.4. New End Use Launches
    • 10.6.5. Research and Development
  • 10.7. Company Profiles
    • 10.7.1. Amazon Web Services, Inc.
      • 10.7.1.1. Participant's Overview
      • 10.7.1.2. Financial Performance
      • 10.7.1.3. End Use Benchmarking
      • 10.7.1.4. Recent Developments
    • 10.7.2. Google LLC
      • 10.7.2.1. Participant's Overview
      • 10.7.2.2. Financial Performance
      • 10.7.2.3. End Use Benchmarking
      • 10.7.2.4. Recent Developments
    • 10.7.3. Microsoft
      • 10.7.3.1. Participant's Overview
      • 10.7.3.2. Financial Performance
      • 10.7.3.3. End Use Benchmarking
      • 10.7.3.4. Recent Developments
    • 10.7.4. DataRobot, Inc.
      • 10.7.4.1. Participant's Overview
      • 10.7.4.2. Financial Performance
      • 10.7.4.3. End Use Benchmarking
      • 10.7.4.4. Recent Developments
    • 10.7.5. H2O.ai.
      • 10.7.5.1. Participant's Overview
      • 10.7.5.2. Financial Performance
      • 10.7.5.3. End Use Benchmarking
      • 10.7.5.4. Recent Developments
    • 10.7.6. Databricks
      • 10.7.6.1. Participant's Overview
      • 10.7.6.2. Financial Performance
      • 10.7.6.3. End Use Benchmarking
      • 10.7.6.4. Recent Developments
    • 10.7.7. Oracle
      • 10.7.7.1. Participant's Overview
      • 10.7.7.2. Financial Performance
      • 10.7.7.3. End Use Benchmarking
      • 10.7.7.4. Recent Developments
    • 10.7.8. Alibaba Cloud
      • 10.7.8.1. Participant's Overview
      • 10.7.8.2. Financial Performance
      • 10.7.8.3. End Use Benchmarking
      • 10.7.8.4. Recent Developments
    • 10.7.9. Akkio Inc.
      • 10.7.9.1. Participant's Overview
      • 10.7.9.2. Financial Performance
      • 10.7.9.3. End Use Benchmarking
      • 10.7.9.4. Recent Developments
    • 10.7.10. Clarifai, Inc.
      • 10.7.10.1. Participant's Overview
      • 10.7.10.2. Financial Performance
      • 10.7.10.3. End Use Benchmarking
      • 10.7.10.4. Recent Developments
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