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市場調查報告書
商品編碼
1849572

2025年全球機器學習開發市場報告

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個工作天內

價格
簡介目錄

近年來,機器學習開發市場發展迅速,預計將從2024年的522.3億美元成長到2025年的738.1億美元,複合年成長率達41.3%。預測期間的成長可歸因於診斷速度的加快、機器學習準確率的提高、對機器學習服務需求的成長、數據量的增加以及網際網路普及率的提高。

預計未來幾年機器學習開發市場將呈指數級成長,到2029年市場規模將達到2,922.7億美元,複合年成長率(CAGR)為41.1%。預測期內的主要成長促進因素包括基礎設施支援的擴展、自動化需求的成長、資料量的成長、對雲端基礎解決方案需求的增加、對個人化解決方案的需求的成長以及人們對機器學習優勢的認知不斷提高。預測期內的關鍵趨勢包括技術進步、人工智慧(AI)技術的創新、無程式碼和低程式碼技術、基礎模型和多模態學習以及自動化機器學習(AutoML)。

未來五年41.1%的成長預測較我們先前對該市場的預測略微下調了0.5個百分點。這一下調主要歸因於美國與其他國家之間的關稅影響。關稅限制可能會間接減緩美國機器學習的發展進程,因為它限制了對受貿易壁壘影響的國家和地區維護的開放原始碼框架和資料集的協作訪問,從而影響創新週期。此外,由於相互關稅以及貿易緊張局勢和限制升級對全球經濟和貿易的負面影響,這種影響也將更加廣泛。

對雲端基礎方案日益成長的需求預計將推動機器學習開發市場的擴張。在雲端基礎方案中,服務、應用程式和資源透過網路交付,而不是託管在本地伺服器或個人裝置上。雲端基礎方案的興起受到諸多因素的驅動,例如增強的安全性和合規性、遠端存取應用程式、高度冗餘和彈性的基礎設施以及優先考慮的安全措施。機器學習透過實現更智慧的數據分析、自動化和個人化用戶體驗,增強了這些雲端基礎方案。機器學習提供擴充性的即時洞察並最佳化資源分配,從而提高效率和決策能力。例如,歐盟統計局估計,到2023年,雲端基礎方案的採用率將成長4.2%,屆時將有45.2%的公司使用雲端運算服務,較2021年顯著成長。對雲端基礎方案日益成長的需求正在推動機器學習開發市場的成長。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場:宏觀經濟情景,包括利率、通貨膨脹、地緣政治、貿易戰和關稅,以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球機器學習發展:PESTEL 分析(政治、社會、科技、環境、法律因素、促進因素與限制因素)
  • 終端用戶產業分析
  • 全球機器學習開發市場:成長率分析
  • 全球機器學習開發市場表現:規模與成長,2019-2024 年
  • 全球機器學習開發市場預測:規模與成長,2024-2029年,2034年預測
  • 全球機器學習發展:潛在市場規模(TAM)

第6章 市場細分

  • 全球機器學習開發市場:依部署模式、效能和預測分類,2019-2024 年、2024-2029 年預測、2034 年預測
  • 本地部署
  • 雲端基礎的
  • 全球機器學習開發市場:依應用、效能和預測分類,2019-2024年、2024-2029年預測、2034年預測
  • 預測性維護
  • 詐欺檢測與預防
  • 客戶區隔
  • 影像和語音辨識
  • 其他用途
  • 全球機器學習開發市場:依最終使用者分類,實際結果與預測,2019-2024 年、2024-2029 年預測、2034 年預測
  • 衛生保健
  • 金融
  • 零售
  • 製造業
  • 資訊科技與通訊
  • 其他最終用戶
  • 全球機器學習開發市場:細分市場(按類型分類,包括本地部署)、實際結果和預測(2019-2024 年、2024-2029 年預測、2034 年預測)。
  • 本地部署機器學習開發平台
  • 用於機器學習的本機資料存儲
  • 本地機器學習模型訓練
  • 本機部署的 AI/ML 開發工具
  • 本地部署機器學習框架
  • 全球機器學習開發市場:雲端基礎、類型細分,實際結果和預測(2019-2024 年、2024-2029 年預測、2034 年預測)。
  • 雲端基礎的機器學習開發平台
  • 雲端基礎的機器學習資料儲存和處理
  • 雲端基礎的模型訓練和配置
  • 雲端基礎的AI/ML開發服務
  • 雲端基礎的機器學習框架和函式庫

第7章 區域和國家分析

  • 全球機器學習開發市場:按地區、效能和預測分類,2019-2024 年、2024-2029 年預測、2034 年預測
  • 全球機器學習開發市場:按國家、性能和預測分類,2019-2024 年、2024-2029 年預測、2034 年預測

第8章 亞太市場

第9章:中國市場

第10章 印度市場

第11章 日本市場

第12章:澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章:德國市場

第18章:法國市場

第19章:義大利市場

第20章:西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章:加拿大市場

第26章 南美洲市場

第27章:巴西市場

第28章 中東市場

第29章:非洲市場

第30章:競爭格局與公司概況

  • 機器學習開發市場:競爭格局
  • 機器學習開發市場:公司概況
    • 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:其他領先和創新企業

  • 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 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章:高潛力市場國家、細分市場與策略

  • 2029年機器學習開發市場:提供新機會的國家
  • 2029年機器學習開發市場:新興細分市場機會
  • 機器學習開發市場展望(2029):成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
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.

Reasons to Purchase

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  • Create regional and country strategies on the basis of local data and analysis.
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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
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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