機械学習開発の世界市場レポート 2025年

機械学習開発市場規模は、今後数年で飛躍的な成長が見込まれます。2029年にはCAGR41.6％で2,980億6,000万米ドルに成長します。予測期間における成長の背景には、インフラサポートの拡大、自動化需要の高まり、データ量の増加、クラウドベースのソリューションに対する需要の高まり、パーソナライズされたソリューションに対するニーズの高まり、機械学習の利点に対する認識の高まりなどがあります。予測期間における主な動向には、技術の進歩、人工知能（AI）技術の革新、ノーコードおよびローコード技術、基礎モデルとマルチモーダル学習、自動機械学習（AutoML）などがあります。

クラウドベースのソリューションに対する需要の高まりは、機械学習開発市場の拡大を促進すると予想されます。クラウドベースのソリューションでは、サービス、アプリケーション、リソースが、ローカルサーバーや個人デバイスでホストされるのではなく、インターネット経由で提供されます。クラウドベースのソリューションの増加は、セキュリティとコンプライアンスの強化、アプリケーションへのリモートアクセス、高度に冗長化された回復力のあるインフラストラクチャ、優先されたセキュリティ対策などの要因によって推進されています。機械学習は、よりインテリジェントなデータ分析、自動化、パーソナライズされたユーザー体験を可能にすることで、こうしたクラウドベースのソリューションを強化します。機械学習は、拡張性のあるリアルタイムの洞察を提供し、リソース割り当てを最適化することで、効率と意思決定の改善につながります。例えば、Eurostatによると、クラウドベースのソリューションの2023年の導入率は4.2%増加し、企業の45.2%がクラウドコンピューティングサービスを利用しており、2021年から大幅に増加しています。このようなクラウドベースのソリューションに対する需要の高まりが、機械学習開発市場の成長を後押ししています。

機械学習開発市場の主要企業は、機械学習ワークフローの効率性と拡張性を高めるため、統合開発環境（IDE）などの革新的な技術の開発に注力しています。機械学習開発用のIDEは、データサイエンティストや機械学習エンジニア向けに特別に設計されたツールや機能を提供し、データの前処理からモデルのトレーニング、評価までのワークフロー全体をサポートします。例えば、2023年9月、米国の半導体企業であるMicrochip Technology Inc.は、MPLAB機械学習開発Suiteを発表しました。このスイートは、機械学習モデル開発のための合理化されたワークフローを提供し、エンジニアは、特に効率、セキュリティ、消費電力が重要な組み込みシステムにおいて、ML推論機能を製品に迅速に統合することができます。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場- マクロ経済シナリオ金利、インフレ、地政学、新型コロナウイルス感染症の影響と回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

• 世界機械学習開発PESTEL分析（政治、社会、技術、環境、法的要因、促進要因と抑制要因）
• 最終用途産業の分析
• 世界の機械学習開発市場：成長率分析
• 世界の機械学習開発市場の実績：規模と成長, 2019-2024
• 世界の機械学習開発市場の予測：規模と成長, 2024-2029, 2034F
• 世界機械学習開発総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界の機械学習開発市場：展開モード別、実績と予測, 2019-2024, 2024-2029F, 2034F
• オンプレミス
• クラウドベース
• 世界の機械学習開発市場：用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 予知保全
• 不正行為の検出と防止
• 顧客セグメンテーション
• 画像と音声認識
• その他の用途
• 世界の機械学習開発市場：エンドユーザー別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ヘルスケア
• ファイナンス
• 小売り
• 製造業
• 情報技術と通信
• その他のエンドユーザー
• 世界の機械学習開発市場オンプレミスのサブセグメンテーション（タイプ別）、実績と予測, 2019-2024, 2024-2029F, 2034F
• オンプレミス機械学習開発プラットフォーム
• 機械学習向けオンプレミスデータストレージ
• オンプレミスの機械学習モデルトレーニング
• オンプレミスのAI/ML開発ツール
• オンプレミスの機械学習フレームワーク
• 世界の機械学習開発市場クラウドベースのタイプ別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
• クラウドベースの機械学習開発プラットフォーム
• 機械学習のためのクラウドベースのデータストレージと処理
• クラウドベースのモデルトレーニングとデプロイメント
• クラウドベースのAI/ML開発サービス
• クラウドベースの機械学習フレームワークとライブラリ

第7章 地域別・国別分析

• 世界の機械学習開発市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界の機械学習開発市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• 機械学習開発市場：競合情勢
• 機械学習開発市場：企業プロファイル
  • 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 その他の大手企業と革新的企業

• 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 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

• 機械学習開発市場2029：新たな機会を提供する国
• 機械学習開発市場2029：新たな機会を提供するセグメント
• 機械学習開発市場2029：成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

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