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市场调查报告书
商品编码
1717217

2025年全球机器学习开发市场报告

Machine Learning Development Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

预计未来几年机器学习开发市场规模将呈指数级增长。到 2029 年，这一数字将成长至 2,980.6 亿美元，复合年增长率为 41.6%。预测期内，推动这一增长的主要因素包括扩大基础设施支援、不断增长的自动化需求、不断增长的数据量、不断增长的云端基础的解决方案的需求、不断增长的个性化解决方案的需求以及对机器学习优势的认识不断提高。预测期内的主要趋势包括技术进步、人工智慧 (AI) 技术的创新、无程式码和低程式码技术、基础模型和多模态学习以及自动化机器学习 (AutoML)。

对云端基础的解决方案的不断增长的需求预计将推动机器学习开发市场的扩张。云端基础的解决方案意味着服务、应用程式和资源透过网路交付，而不是託管在本地伺服器或个人装置上。云端基础的解决方案的兴起受到诸如增强的安全性和合规性、对应用程式的远端存取、高度冗余和有弹性的基础设施以及优先的安全措施等因素的推动。机器学习透过实现更智慧的数据分析、自动化和个人化的使用者体验为这些云端基础的解决方案提供支援。机器学习提供扩充性的即时洞察并优化资源分配，从而提高效率和决策能力。例如，根据欧盟统计局的数据，到 2023 年，云端基础的解决方案的采用率将成长 4.2%，其中 45.2% 的企业将使用云端运算服务，较 2021 年有显着成长。对此类云端基础的解决方案的需求不断增长，正在推动机器学习开发市场的成长。

机器学习开发市场的主要企业正专注于开发整合开发环境（IDE）等创新技术，以使机器学习工作流程更有效率且扩充性。用于机器学习开发的 IDE 提供专为资料科学家和机器学习工程师设计的工具和功能，支援从资料预处理到模型训练和评估的整个工作流程。例如，2023年9月，美国半导体公司Microchip Technology Inc.发布了其MPLAB机器学习开发套件。该套件为机器学习模型开发提供了简化的工作流程，使工程师能够快速将 ML 推理功能整合到他们的产品中，特别是在效率、安全性和功耗至关重要的嵌入式系统中。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 - 市场 - 宏观经济情境 宏观经济情境包括利率、通膨、地缘政治以及感染疾病和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球机器学习发展PESTEL分析（政治、社会、科技、环境、法律因素、驱动因素与限制因素）
  • 最终用途产业分析
  • 全球机器学习开发市场：成长率分析
  • 全球机器学习开发市场表现：规模与成长，2019-2024
  • 全球机器学习开发市场预测：规模与成长，2024-2029 年，2034 年
  • 全球机器学习开发总目标市场（TAM）

第六章市场区隔

  • 全球机器学习开发市场：依部署模式、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 本地
  • 云端基础
  • 全球机器学习开发市场：按应用、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 预测性维护
  • 诈欺检测与预防
  • 客户区隔
  • 影像和语音辨识
  • 其他用途
  • 全球机器学习开发市场：按最终用户、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 卫生保健
  • 金融
  • 零售
  • 製造业
  • 资讯科技和通讯
  • 其他最终用户
  • 全球机器学习开发市场在地细分（按类型）、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 本地机器学习开发平台
  • 用于机器学习的本机资料存储
  • 本地机器学习模型训练
  • 本地 AI/ML 开发工具
  • 本地机器学习框架
  • 全球机器学习开发市场（云端基础）细分（按类型、实际及预测），2019-2024 年、2024-2029 年、2034 年
  • 云端基础的机器学习开发平台
  • 云端基础的机器学习资料储存和处理
  • 云端基础的模型训练和配置
  • 云端基础的AI/ML 开发服务
  • 云端基础的机器学习框架和函式库

第七章 区域和国家分析

  • 全球机器学习开发市场：依地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 全球机器学习开发市场：依国家、绩效及预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章竞争格局与公司概况

  • 机器学习开发市场：竞争格局
  • 机器学习开发市场：公司简介
    • 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

第31章 其他大型创新企业

  • 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.

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

  • 2029 年机器学习开发市场：提供新机会的国家
  • 2029 年机器学习开发市场：细分领域带来新机会
  • 2029年机器学习开发市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第36章 附录

简介目录
Product Code: r33795

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