封面
市场调查报告书
商品编码
1849572

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 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来,机器学习开发市场发展迅速,预计将从2024年的522.3亿美元成长到2025年的738.1亿美元,复合年增长率达41.3%。预测期间的成长可归因于诊断速度的加快、机器学习准确率的提高、对机器学习服务需求的增长、数据量的增加以及互联网普及率的提高。

预计未来几年机器学习开发市场将呈指数级增长,到2029年市场规模将达到2,922.7亿美元,复合年增长率(CAGR)为41.1%。预测期内的主要成长驱动因素包括基础设施支援的扩展、自动化需求的成长、资料量的成长、对云端基础解决方案需求的增加、对个人化解决方案的需求的增长以及人们对机器学习优势的认识不断提高。预测期内的关键趋势包括技术进步、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)。

未来五年41.1%的成长预测较我们先前对该市场的预测略微下调了0.5个百分点。这一下调主要归因于美国与其他国家之间的关税影响。关税限制可能会间接减缓美国机器学习的发展进程,因为它限制了对受贸易壁垒影响的国家和地区维护的开放原始码框架和资料集的协作访问,从而影响创新週期。此外,由于相互关税以及贸易紧张局势和限制升级对全球经济和贸易的负面影响,这种影响也将更加广泛。

对云端基础方案日益增长的需求预计将推动机器学习开发市场的扩张。在云端基础方案中,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。云端基础方案的兴起受到诸多因素的驱动,例如增强的安全性和合规性、远端存取应用程式、高度冗余和弹性的基础设施以及优先考虑的安全措施。机器学习透过实现更智慧的数据分析、自动化和个人化用户体验,增强了这些云端基础方案。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,欧盟统计局估计,到2023年,云端基础方案的采用率将成长4.2%,届时将有45.2%的公司使用云端运算服务,较2021年显着成长。对云端基础方案日益增长的需求正在推动机器学习开发市场的成长。

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:宏观经济情景,包括利率、通货膨胀、地缘政治、贸易战和关税,以及新冠疫情及其復苏对市场的影响

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)
  • 终端用户产业分析
  • 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 年
  • 全球机器学习开发市场预测:规模与成长,2024-2029年,2034年预测
  • 全球机器学习发展:潜在市场规模(TAM)

第六章 市场细分

  • 全球机器学习开发市场:依部署模式、效能和预测划分,2019-2024 年、2024-2029 年预测、2034 年预测
  • 本地部署
  • 云端基础的
  • 全球机器学习开发市场:依应用、效能和预测划分,2019-2024年、2024-2029年预测、2034年预测
  • 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:依最终使用者划分,实际结果与预测,2019-2024 年、2024-2029 年预测、2034 年预测
  • 卫生保健
  • 金融
  • 零售
  • 製造业
  • 资讯科技与通讯
  • 其他最终用户
  • 全球机器学习开发市场:细分市场(按类型划分,包括本地部署)、实际结果和预测(2019-2024 年、2024-2029 年预测、2034 年预测)。
  • 本地部署机器学习开发平台
  • 用于机器学习的本机资料存储
  • 本地机器学习模型训练
  • 本机部署的 AI/ML 开发工具
  • 本地部署机器学习框架
  • 全球机器学习开发市场:云端基础、类型细分,实际结果和预测(2019-2024 年、2024-2029 年预测、2034 年预测)。
  • 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:按地区、效能和预测划分,2019-2024 年、2024-2029 年预测、2034 年预测
  • 全球机器学习开发市场:按国家、性能和预测划分,2019-2024 年、2024-2029 年预测、2034 年预测

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

第二十章: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

第三十章: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:公司概况
    • 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:其他领先和创新企业

  • 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錶板

第33章 重大併购

第34章 近期市场趋势

第35章:高潜力市场国家、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:新兴细分市场机会
  • 机器学习开发市场展望(2029):成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r33795u

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.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

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 $73.81 billion in 2025 at a compound annual growth rate (CAGR) of 41.3%. 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 $292.27 billion in 2029 at a compound annual growth rate (CAGR) of 41.1%. 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 forecast of 41.1% growth over the next five years reflects a modest reduction of 0.5% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Restrictions from tariffs may indirectly slow U.S. machine learning development efforts by limiting collaborative access to open-source frameworks and datasets maintained in jurisdictions impacted by trade barriers, affecting innovation cycles. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

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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  • Create regional and country strategies on the basis of local data and analysis.
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  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for machine learning development ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • 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.
  • 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.; 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
  • 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 Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

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