세계의 기계학습 개발 시장 보고서(2025년)

Machine Learning Development Global Market Report 2025

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한글목차

머신러닝 개발 시장 규모는 향후 수년간 연평균 41.6%의 성장률을 기록하며 2029년에는 2,980억 6,000만 달러 규모로 성장할 것으로 예측됩니다. 예측 기간 중 성장의 배경에는 인프라 지원 확대, 자동화 수요 증가, 데이터 양 증가, 클라우드 기반 솔루션에 대한 수요 증가, 개인화된 솔루션에 대한 수요 증가, 머신러닝의 이점에 대한 인식 증가 등이 있습니다. 예측 기간의 주요 동향으로는 기술 발전, 인공지능(AI) 기술 혁신, 노코드 및 로우코드 기술, 기초 모델 및 멀티모달 학습, 자동 머신러닝(AutoML) 등이 있습니다.

클라우드 기반 솔루션에 대한 수요 증가는 머신러닝 개발 시장의 성장을 가속할 것으로 예측됩니다. 클라우드 기반 솔루션에서는 서비스, 용도, 리소스가 로컬 서버나 개인 기기에서 호스팅되는 것이 아니라 인터넷을 통해 제공됩니다. 클라우드 기반 솔루션 증가는 강화된 보안 및 컴플라이언스, 용도에 대한 원격 액세스, 고도로 이중화된 탄력적인 인프라, 우선 순위가 높은 보안 조치 등의 요인에 의해 주도되고 있습니다. 머신러닝은 보다 지능적인 데이터 분석, 자동화, 개인화된 사용자 경험을 가능하게 함으로써 이러한 클라우드 기반 솔루션을 강화합니다. 머신러닝은 확장 가능한 실시간 인사이트를 제공하고 리소스 할당을 최적화하여 효율성과 의사결정을 개선할 수 있도록 돕습니다. 예를 들어 Eurostat에 따르면 2023년 클라우드 기반 솔루션의 도입률은 4.2% 증가하여 기업의 45.2%가 클라우드 컴퓨팅 서비스를 이용할 것으로 예상되며, 이는 2021년에 비해 크게 증가한 수치입니다. 이러한 클라우드 기반 솔루션에 대한 수요 증가는 머신러닝 개발 시장의 성장을 촉진하고 있습니다.

머신러닝 개발 시장의 주요 기업은 머신러닝 워크플로우의 효율성과 확장성을 높이기 위해 통합 개발 환경(IDE)과 같은 혁신적인 기술 개발에 집중하고 있습니다. 머신러닝 개발용 IDE는 데이터 사이언스자와 머신러닝 엔지니어를 위해 특별히 설계된 툴와 기능을 제공하여 데이터 전처리부터 모델 훈련, 평가까지 전체 워크플로우를 지원합니다. 예를 들어 2023년 9월 미국 반도체 기업 Microchip Technology Inc.는 MPLAB 머신러닝 개발 스위트(MPLAB Machine Learning Development Suite)를 발표했습니다. 이 제품군은 머신러닝 모델 개발을 위한 간소화된 워크플로우를 제공하여 엔지니어가 ML 추론 기능을 제품에 신속하게 통합할 수 있도록 지원하며, 특히 효율성, 보안, 전력 소비가 중요한 임베디드 시스템에서 더욱 유용하게 사용할 수 있습니다.

목차

제1장 개요

제2장 시장의 특징

제3장 시장 동향과 전략

제4장 시장 - 거시경제 시나리오 금리, 인플레이션, 지정학, 신형 코로나바이러스의 영향과 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

• 세계의 기계학습 개발 PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인과 억제요인)
• 최종 용도 산업의 분석
• 세계의 기계학습 개발 시장 : 성장률 분석
• 세계의 기계학습 개발 시장 실적 : 규모와 성장, 2019-2024
• 세계의 기계학습 개발 시장 예측 : 규모와 성장, 2024-2029, 2034F
• 세계 기계학습 개발 TAM(Total Addressable Market)

제6장 시장 세분화

• 세계의 기계학습 개발 시장 : 배포 모드별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
• 온프레미스
• 클라우드 기반
• 세계의 기계학습 개발 시장 : 용도별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
• 예지보전
• 부정행위 탐지와 방지
• 고객 세분화
• 영상과 음성인식
• 기타 용도
• 세계의 기계학습 개발 시장 : 최종사용자별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
• 헬스케어
• 파이낸싱
• 소매
• 제조업
• 정보기술과 통신
• 기타 최종사용자
• 세계의 기계학습 개발 시장, 온프레미스의 서브 세분화(유형별), 실적과 예측, 2019-2024, 2024-2029F, 2034F
• 온프레미스 기계학습 개발 플랫폼
• 기계학습용 온프레미스 데이터 스토리지
• 온프레미스 기계학습 모델 트레이닝
• 온프레미스 AI/ML 개발툴
• 온프레미스 기계학습 프레임워크
• 세계의 기계학습 개발 시장, 클라우드 기반의 서브 세분화, 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
• 클라우드 기반 기계학습 개발 플랫폼
• 기계학습을 위한 클라우드 기반 데이터 스토리지와 처리
• 클라우드 기반 모델 트레이닝과 배포
• 클라우드 기반 AI/ML 개발 서비스
• 클라우드 기반 기계학습 프레임워크와 라이브러리

제7장 지역별·국가별 분석

• 세계의 기계학습 개발 시장 : 지역별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
• 세계의 기계학습 개발 시장 : 국가별, 실적과 예측, 2019-2024, 2024-2029F, 2034F

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 개발 시장 : 경쟁 구도
• 기계학습 개발 시장 : 기업 개요
  • Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
  • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Mitsubishi Electric Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Robert Bosch GmbH Overview, Products and Services, Strategy and Financial Analysis
  • Tencent Holdings Ltd. Overview, Products and Services, Strategy and Financial Analysis

제31장 기타 대기업과 혁신적 기업

• Amazon Web Services(AWS) Inc.
• Intel Corporation
• Siemens AG
• General Electric(GE)
• International Business Machines(IBM) Corporation
• Schneider Electric SE
• Honeywell International Inc.
• NVIDIA Corporation
• Rockwell Automation
• Fanuc
• Dassault Systemes SA
• Hexagon AB
• Autodesk Inc.
• PTC Inc.
• Emerson Electric Co.

제32장 세계의 시장 경쟁 벤치마킹과 대시보드

제33장 주요 합병과 인수

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

• 기계학습 개발 시장 2029 : 새로운 기회를 제공하는 국가
• 기계학습 개발 시장 2029 : 새로운 기회를 제공하는 부문
• 기계학습 개발 시장 2029 : 성장 전략
  • 시장 동향에 기반한 전략
  • 경쟁의 전략

제36장 부록

KSA

영문 목차

영문목차

Machine learning development involves creating and refining algorithms and models that enable computers to learn from data and make decisions or predictions without needing explicit programming for specific tasks. This process integrates data science, programming, and domain expertise to build systems that can learn and adapt over time, offering valuable insights and automation capabilities.

Machine learning development is primarily deployed in two ways such as on-premises and cloud-based. On-premises machine learning development refers to the installation and operation of machine learning systems on hardware and software located within a company's own facilities. These systems are used for a variety of applications, including predictive maintenance, fraud detection and prevention, customer segmentation, and image and speech recognition. They serve various end-users across sectors such as healthcare, finance, retail, manufacturing, information technology, and telecommunications, among others.

The machine learning development market research report is one of a series of new reports from The Business Research Company that provides machine learning development market statistics, including machine learning development industry global market size, regional shares, competitors with a machine learning development market share, detailed machine learning development market segments, market trends, and opportunities, and any further data you may need to thrive in the machine learning development industry. This machine learning development market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The machine learning development market size has grown exponentially in recent years. It will grow from $52.23 billion in 2024 to $74.16 billion in 2025 at a compound annual growth rate (CAGR) of 42.0%. The growth in the historic period can be attributed to increase the pace of diagnosis, increase the accuracy of machine learning, increase in demand for machine learning services, increase in data volume, and increasing internet penetration.

The machine learning development market size is expected to see exponential growth in the next few years. It will grow to $298.06 billion in 2029 at a compound annual growth rate (CAGR) of 41.6%. The growth in the forecast period can be attributed to growing infrastructure support, rising demand for automation, increase in data volume, increasing demand for cloud-based solutions, rising need for personalized solutions, and growing awareness of the benefits of machine learning. Major trends in the forecast period include technological advancements, innovations in artificial intelligence (AI) technologies, no-code and low-code technologies, foundation models and multimodal learning, and automated machine learning (AutoML).

The growing demand for cloud-based solutions is expected to drive the expansion of the machine learning development market. Cloud-based solutions involve services, applications, and resources delivered over the Internet rather than hosted on local servers or personal devices. The rise in cloud-based solutions is driven by factors such as enhanced security and compliance, remote access to applications, highly redundant and resilient infrastructure, and prioritized security measures. Machine learning enhances these cloud-based solutions by enabling more intelligent data analysis, automation, and personalized user experiences. It provides scalable, real-time insights and optimizes resource allocation, leading to improved efficiency and decision-making. For example, according to Eurostat, cloud-based solutions saw a 4.2% increase in adoption in 2023, with 45.2% of businesses using cloud computing services, up significantly from 2021. This growing demand for cloud-based solutions is fueling the growth of the machine learning development market.

Leading companies in the machine learning development market are focusing on creating innovative technologies such as integrated development environments (IDEs) to boost the efficiency and scalability of their machine learning workflows. An IDE for machine learning development offers tools and features specifically designed for data scientists and machine learning engineers, supporting the entire workflow from data preprocessing to model training and evaluation. For instance, in September 2023, Microchip Technology Inc., a US-based semiconductor company, launched the MPLAB Machine Learning Development Suite. This suite provides a streamlined workflow for developing machine learning models, allowing engineers to quickly integrate ML inference capabilities into their products, especially in embedded systems where efficiency, security, and power consumption are crucial.

In January 2023, McKinsey & Company, a US-based management consulting firm, acquired Iguazio, a machine learning development company based in Israel, for an undisclosed amount. This acquisition aims to help organizations and governments tackle their most critical challenges and enhance their performance.

Major companies operating in the machine learning development market are Alphabet Inc., Microsoft Corporation, Mitsubishi Electric Corporation, Robert Bosch GmbH, Tencent Holdings Ltd., Amazon Web Services (AWS) Inc., Intel Corporation, Siemens AG, General Electric (GE), International Business Machines (IBM) Corporation, Schneider Electric SE, Honeywell International Inc., NVIDIA Corporation, Rockwell Automation, Fanuc, Dassault Systemes SA, Hexagon AB, Autodesk Inc., PTC Inc., Emerson Electric Co., Yokogawa Electric Corporation

North America was the largest region in the machine learning development market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning development market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the machine learning development market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The machine learning development market consists of revenues earned by entities by providing data collection and storage, deployment and integration, visualization and reporting, and data processing. The market value includes the value of related goods sold by the service provider or included within the service offering. The machine learning development market also includes sales of data collection and management, data preprocessing and cleaning, model building and training, and specialized tools. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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 Development Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on machine learning development market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for machine learning development ? 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 development market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Deployment Mode: On-Premises; Cloud-Based
• 2) By Application: Predictive Maintenance; Fraud Detection and Prevention; Customer Segmentation; Image and Speech Recognition; Other Applications
• 3) By End-User: Healthcare; Finance; Retail; Manufacturing; Information Technology And Telecom; Other End-Users
• Subsegments:
• 1) By On-Premises: On-Premises Machine Learning Development Platforms; On-Premises Data Storage for Machine Learning; On-Premises Machine Learning Model Training; On-Premises AI/ML Development Tools; On-Premises Machine Learning Frameworks
• 2) By Cloud-Based: Cloud-Based Machine Learning Development Platforms; Cloud-Based Data Storage and Processing for Machine Learning; Cloud-Based Model Training and Deployment; Cloud-Based AI/ML Development Services; Cloud-Based Machine Learning Frameworks and Libraries

3) By Managed Cloud ML Solutions

• Companies Mentioned: Alphabet Inc.; Microsoft Corporation; Mitsubishi Electric Corporation; Robert Bosch GmbH; Tencent Holdings Ltd.
• 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 Development Market Characteristics

3. Machine Learning Development Market Trends And Strategies

4. Machine Learning Development Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global Machine Learning Development Growth Analysis And Strategic Analysis Framework

• 5.1. Global Machine Learning Development PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 5.2. Analysis Of End Use Industries
• 5.3. Global Machine Learning Development Market Growth Rate Analysis
• 5.4. Global Machine Learning Development Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
• 5.5. Global Machine Learning Development Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
• 5.6. Global Machine Learning Development Total Addressable Market (TAM)

6. Machine Learning Development Market Segmentation

• 6.1. Global Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• On-Premises
• Cloud-Based
• 6.2. Global Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Predictive Maintenance
• Fraud Detection And Prevention
• Customer Segmentation
• Image And Speech Recognition
• Other Applications
• 6.3. Global Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Healthcare
• Finance
• Retail
• Manufacturing
• Information Technology And Telecom
• Other End-Users
• 6.4. Global Machine Learning Development Market, Sub-Segmentation Of On-Premises, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• On-Premises Machine Learning Development Platforms
• On-Premises Data Storage for Machine Learning
• On-Premises Machine Learning Model Training
• On-Premises AI/ML Development Tools
• On-Premises Machine Learning Frameworks
• 6.5. Global Machine Learning Development Market, Sub-Segmentation Of Cloud-Based, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Cloud-Based Machine Learning Development Platforms
• Cloud-Based Data Storage and Processing for Machine Learning
• Cloud-Based Model Training and Deployment
• Cloud-Based AI/ML Development Services
• Cloud-Based Machine Learning Frameworks and Libraries

7. Machine Learning Development Market Regional And Country Analysis

• 7.1. Global Machine Learning Development Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global Machine Learning Development Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Machine Learning Development Market

• 8.1. Asia-Pacific Machine Learning Development Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 8.2. Asia-Pacific Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Machine Learning Development Market

• 9.1. China Machine Learning Development Market Overview
• 9.2. China Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Machine Learning Development Market

• 10.1. India Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Machine Learning Development Market

• 11.1. Japan Machine Learning Development Market Overview
• 11.2. Japan Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Machine Learning Development Market

• 12.1. Australia Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Machine Learning Development Market

• 13.1. Indonesia Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Machine Learning Development Market

• 14.1. South Korea Machine Learning Development Market Overview
• 14.2. South Korea Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Machine Learning Development Market

• 15.1. Western Europe Machine Learning Development Market Overview
• 15.2. Western Europe Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Machine Learning Development Market

• 16.1. UK Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Machine Learning Development Market

• 17.1. Germany Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Machine Learning Development Market

• 18.1. France Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Machine Learning Development Market

• 19.1. Italy Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Machine Learning Development Market

• 20.1. Spain Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Machine Learning Development Market

• 21.1. Eastern Europe Machine Learning Development Market Overview
• 21.2. Eastern Europe Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Machine Learning Development Market

• 22.1. Russia Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Machine Learning Development Market

• 23.1. North America Machine Learning Development Market Overview
• 23.2. North America Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Machine Learning Development Market

• 24.1. USA Machine Learning Development Market Overview
• 24.2. USA Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Machine Learning Development Market

• 25.1. Canada Machine Learning Development Market Overview
• 25.2. Canada Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Machine Learning Development Market

• 26.1. South America Machine Learning Development Market Overview
• 26.2. South America Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Machine Learning Development Market

• 27.1. Brazil Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Machine Learning Development Market

• 28.1. Middle East Machine Learning Development Market Overview
• 28.2. Middle East Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Machine Learning Development Market

• 29.1. Africa Machine Learning Development Market Overview
• 29.2. Africa Machine Learning Development Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Machine Learning Development Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Machine Learning Development Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Machine Learning Development Market Competitive Landscape And Company Profiles

• 30.1. Machine Learning Development Market Competitive Landscape
• 30.2. Machine Learning Development Market Company Profiles
  • 30.2.1. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Mitsubishi Electric Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. Robert Bosch GmbH Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. Tencent Holdings Ltd. Overview, Products and Services, Strategy and Financial Analysis

31. Machine Learning Development Market Other Major And Innovative Companies

• 31.1. Amazon Web Services (AWS) Inc.
• 31.2. Intel Corporation
• 31.3. Siemens AG
• 31.4. General Electric (GE)
• 31.5. International Business Machines (IBM) Corporation
• 31.6. Schneider Electric SE
• 31.7. Honeywell International Inc.
• 31.8. NVIDIA Corporation
• 31.9. Rockwell Automation
• 31.10. Fanuc
• 31.11. Dassault Systemes SA
• 31.12. Hexagon AB
• 31.13. Autodesk Inc.
• 31.14. PTC Inc.
• 31.15. Emerson Electric Co.

32. Global Machine Learning Development Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Machine Learning Development Market

34. Recent Developments In The Machine Learning Development Market

35. Machine Learning Development Market High Potential Countries, Segments and Strategies

• 35.1 Machine Learning Development Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Machine Learning Development Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Machine Learning Development Market In 2029 - Growth Strategies
  • 35.3.1 Market Trend Based Strategies
  • 35.3.2 Competitor Strategies

36. Appendix

• 36.1. Abbreviations
• 36.2. Currencies
• 36.3. Historic And Forecast Inflation Rates
• 36.4. Research Inquiries
• 36.5. The Business Research Company
• 36.6. Copyright And Disclaimer

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