機械学習オペレーションの世界市場レポート 2025年

機械学習オペレーションの市場規模は、今後数年間で飛躍的な成長が見込まれます。2029年にはCAGR38.0％で108億4,000万米ドルに成長します。予測期間の成長は、クラウドコンピューティングの台頭、産業界における機械学習の採用拡大、モデル展開技術の開発、アジャイル開発プラクティスの採用、機械学習モデルの複雑化などに起因すると考えられます。予測期間の主な動向には、アナリティクス統合の強化、機械学習の民主化、エッジAIアプリケーションの飛躍的成長、ハイパーパラメータチューニングの自動化、MLOpsパイプラインのセキュリティ強化などがあります。

自動運転車に対する需要の高まりは、機械学習オペレーション（MLOps）市場の成長を促進する構えです。自動運転車には、高度なセンサー、カメラ、レーダー、ライダー、人工知能（AI）システムが搭載されており、人間が直接介入することなく、道路上でのナビゲーションや意思決定を行うことができます。自動運転車におけるMLOpsには、車両内での機械学習モデルの継続的な統合、展開、管理が含まれます。これにより、センサーからのリアルタイムのデータや多様な運転シナリオに基づいて、運転能力を適応させ、向上させることができます。2022年12月に米国道路安全保険協会が発表した報告書によると、2025年までに推定350万台の自律走行車がアメリカの道路を走行し、2030年までに450万台まで増加すると予測されています。自動運転車に対する需要の急増は、機械学習業務市場の重要な促進要因として認識されています。

機械学習オペレーション（MLOps）市場の主要企業は、GPT Monitoring for MLOpsのような革新的なソリューションを導入しています。GPT Monitoring for MLOpsは、GPTモデルのリアルタイムモニタリングとコスト追跡を可能にし、エンジニアリングチームのパフォーマンスと運用効率を高めます。GPT Monitoring for MLOpsは、事前に訓練された生成変換器を活用して、機械学習オペレーションの追跡と管理を改善し、より優れたモデル性能と意思決定を可能にします。例えば、2023年3月、米国のデジタルインテリジェンス企業であるNew Relicは、OpenAIのGPTシリーズAPIを使用したアプリケーションのリアルタイムモニタリングのためのNew Relic機械学習オペレーション（MLOps）を発表しました。この新機能により、エンジニアリングチームはわずか2行のコードでパフォーマンスとコストを監視し、GPTの使用状況を即座に把握することができます。これはOpenAI GPTのすべてのバージョンをサポートし、企業が運用コストを削減しながらAI主導のアプリケーションを最適化するのに役立ちます。

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- 金利、インフレ、地政学、コロナ、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

• 世界の機械学習オペレーション市場のPESTEL分析（政治、社会、技術、環境、法的要因、促進要因、抑制要因）
• 最終用途産業の分析
• 世界の機械学習オペレーション市場：成長率分析
• 世界の機械学習オペレーション市場の実績：規模と成長、2019～2024年
• 世界の機械学習オペレーション市場の予測：規模と成長、2024～2029年、2034年
• 世界の機械学習オペレーション総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界の機械学習オペレーション市場：展開タイプ別、実績と予測、2019～2024年、2024～2029年、2034年
• オンプレミス
• クラウド
• その他
• 世界の機械学習オペレーション市場：組織規模別、実績と予測、2019～2024年、2024～2029年、2034年
• 大企業
• 中小企業
• 世界の機械学習オペレーション市場：業界別、実績と予測、2019～2024年、2024～2029年、2034年
• BFSI（銀行、金融サービス、保険）
• 製造業
• IT・通信
• 小売業・eコマース
• エネルギー・公共事業
• ヘルスケア
• メディア・エンターテイメント
• その他
• 世界の機械学習オペレーション市場：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年、2024～2029年、2034年
• プライベートデータセンター
• ローカルサーバー
• 世界の機械学習オペレーション市場：クラウドのサブセグメンテーション：タイプ別、実績と予測、2019～2024年、2024～2029年、2034年
• パブリッククラウドサービス
• ハイブリッドクラウドソリューション
• マルチクラウド環境
• 世界の機械学習オペレーション市場：その他のサブセグメンテーション：タイプ別、実績と予測、2019～2024年、2024～2029年、2034年
• エッジデプロイメント
• ハイブリッドオンプレミスまたはクラウドソリューション

第7章 地域別・国別分析

• 世界の機械学習オペレーション市場：地域別、実績と予測、2019～2024年、2024～2029年、2034年
• 世界の機械学習オペレーション市場：国別、実績と予測、2019～2024年、2024～2029年、2034年

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

• 機械学習オペレーション市場：競合情勢
• 機械学習オペレーション市場：企業プロファイル
  • Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
  • Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
  • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Hewlett Packard Enterprise 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

• Statistical Analysis System（SAS）
• Databricks Inc.
• Cloudera Inc.
• Alteryx Inc.
• Comet
• GAVS Technologies
• DataRobot Inc.
• Veritone
• Dataiku
• Parallel LLC
• Neptune Labs
• SparkCognition
• Weights & Biases
• Kensho Technologies Inc.
• Akira.Al

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

• 機械学習オペレーション市場2029：新たな機会を提供する国
• 機械学習オペレーション市場2029：新たな機会を提供するセグメント
• 機械学習オペレーション市場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 Operations, often referred to as MLOps, encompasses a set of practices and tools designed to automate and manage the complete lifecycle of machine learning models, starting from their development and training phases. MLOps involves a range of tasks related to deploying, managing, and monitoring machine learning models in production environments. It aims to streamline and enhance the efficiency of the operational aspects associated with the deployment and ongoing maintenance of machine learning solutions.

The primary types of deployments in Machine Learning Operations (MLOps) include on-premise, cloud, and other variations. On-premise deployment involves installing and running software or systems within an organization's physical infrastructure or data centers. This deployment method caters to enterprises of various sizes, including large enterprises and small to medium-sized enterprises. On-premise MLOps finds applications across diverse industry sectors such as banking, financial services, and insurance (BFSI), manufacturing, IT and telecom, retail, and e-commerce, energy and utility, healthcare, media and entertainment, among others.

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

The machine learning operations market size has grown exponentially in recent years. It will grow from $2.16 billion in 2024 to $2.99 billion in 2025 at a compound annual growth rate (CAGR) of 38.4%. The growth in the historic period can be attributed to increasing complexity of ml models, rapid evolution of edge computing, increasing adoption of federated learning, continuous integration of devops and mlops, surge in automl adoption.

The machine learning operations market size is expected to see exponential growth in the next few years. It will grow to $10.84 billion in 2029 at a compound annual growth rate (CAGR) of 38.0%. The growth in the forecast period can be attributed to rise of cloud computing, increased adoption of machine learning in industries, development of model deployment technologies, adoption of agile development practices, increased complexity of machine learning models. Major trends in the forecast period include augmented analytics integration, democratization of machine learning, exponential growth in edge ai applications, automated hyperparameter tuning, enhanced security in mlops pipelines.

The increasing demand for self-driving cars is poised to drive the growth of the machine-learning operations (MLOps) market. Self-driving cars are equipped with advanced sensors, cameras, radar, lidar, and artificial intelligence (AI) systems that enable them to navigate and make decisions on the road without direct human intervention. MLOps in self-driving cars involves the continuous integration, deployment, and management of machine learning models within the vehicles. This allows them to adapt and improve their driving capabilities based on real-time data from sensors and diverse driving scenarios. According to a report from the Insurance Institute for Highway Safety in December 2022, an estimated 3.5 million autonomous vehicles are projected to be on American roads by 2025, with expectations for this number to increase to 4.5 million by 2030. The surging demand for self-driving cars is identified as a significant driver of the machine-learning operations market.

Major companies in the machine learning operations (MLOps) market are introducing innovative solutions such as GPT Monitoring for MLOps, which allows for real-time monitoring and cost tracking of GPT models, enhancing performance and operational efficiency for engineering teams. GPT Monitoring for MLOps leverages generative pre-trained transformers to improve the tracking and management of machine learning operations, enabling better model performance and decision-making. For example, in March 2023, New Relic, a U.S.-based digital intelligence company, launched New Relic Machine Learning Operations (MLOps) for real-time monitoring of applications using OpenAI's GPT series APIs. This new feature enables engineering teams to monitor performance and costs with just two lines of code, offering immediate insights into GPT usage. It supports all versions of OpenAI GPT, helping companies optimize AI-driven applications while reducing operational costs.

In March 2024, Bain & Company, a U.S.-based management consulting services firm, acquired PiperLab for an undisclosed amount. This acquisition aims to bolster Bain's artificial intelligence (AI) and machine learning (ML) capabilities across Europe, the Middle East, and Africa (EMEA). By integrating PiperLab's expertise and solutions, Bain plans to create an additional hub within its global Advanced Analytics Group (AAG), enabling a unified team to address complex business challenges at the intersection of business, data science, and engineering. PiperLab, a Spain-based company, specializes in providing data-driven solutions that focus on enhancing operational efficiency, increasing productivity, and reducing costs for businesses.

Major companies operating in the machine learning operations market report are Amazon.com Inc., Alphabet Inc., Microsoft Corporation, International Business Machines Corporation, Hewlett Packard Enterprise, Statistical Analysis System (SAS ), Databricks Inc., Cloudera Inc., Alteryx Inc., Comet, GAVS Technologies, DataRobot Inc., Veritone, Dataiku, Parallel LLC, Neptune Labs, SparkCognition, Weights & Biases, Kensho Technologies Inc., Akira.Al, Iguazio, Domino Data Lab, Symphony Solutions, Valohai, Blaize, Neptune.ai, H2O.ai, Paperspace, OctoML

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

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

The machine learning operations market includes revenues earned by entities by providing services including model deployment services, integration services, data management services, cloud services and testing services. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The machine learning operations market consists of sales of central processing units (CPUs), graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and tensor processing units (TPUs). 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 Operations 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 operations 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 operations ? 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 operations 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 Type: On-Premise; Cloud; Other Type Of Deployment
• 2) By Organization Size: Large Enterprises; Small And Medium-sized Enterprises
• 3) By Industry Vertical: BFSI (Banking, Financial Services, And Insurance); Manufacturing; IT And Telecom; Retail And E-commerce; Energy And Utility; Healthcare; Media And Entertainment; Other Industry Verticals
• Subsegments:
• 1) By On-Premise: Private Data Centers; Local Servers
• 2) By Cloud: Public Cloud Services; Hybrid Cloud Solutions; Multi-Cloud Environments
• 3) By Other Type Of Deployment: Edge Deployment; Hybrid On-Premise Or Cloud Solutions
• Companies Mentioned: Amazon.com Inc.; Alphabet Inc.; Microsoft Corporation; International Business Machines Corporation; Hewlett Packard Enterprise
• 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 Operations Market Characteristics

3. Machine Learning Operations Market Trends And Strategies

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

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

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

6. Machine Learning Operations Market Segmentation

• 6.1. Global Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• On-Premise
• Cloud
• Other Type Of Deployment
• 6.2. Global Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Large Enterprises
• Small And Medium-Sized Enterprises
• 6.3. Global Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• BFSI (Banking, Financial Services, And Insurance)
• Manufacturing
• IT And Telecom
• Retail And E-commerce
• Energy And Utility
• Healthcare
• Media And Entertainment
• Other Industry Verticals
• 6.4. Global Machine Learning Operations Market, Sub-Segmentation Of On-Premise, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Private Data Centers
• Local Servers
• 6.5. Global Machine Learning Operations Market, Sub-Segmentation Of Cloud, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Public Cloud Services
• Hybrid Cloud Solutions
• Multi-Cloud Environments
• 6.6. Global Machine Learning Operations Market, Sub-Segmentation Of Other Type Of Deployment, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Edge Deployment
• Hybrid On-Premise Or Cloud Solutions

7. Machine Learning Operations Market Regional And Country Analysis

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

8. Asia-Pacific Machine Learning Operations Market

• 8.1. Asia-Pacific Machine Learning Operations 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 Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Machine Learning Operations Market

• 9.1. China Machine Learning Operations Market Overview
• 9.2. China Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Machine Learning Operations Market

• 10.1. India Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Machine Learning Operations Market

• 11.1. Japan Machine Learning Operations Market Overview
• 11.2. Japan Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Machine Learning Operations Market

• 12.1. Australia Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Machine Learning Operations Market

• 13.1. Indonesia Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Machine Learning Operations Market

• 14.1. South Korea Machine Learning Operations Market Overview
• 14.2. South Korea Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Machine Learning Operations Market

• 15.1. Western Europe Machine Learning Operations Market Overview
• 15.2. Western Europe Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Machine Learning Operations Market

• 16.1. UK Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Machine Learning Operations Market

• 17.1. Germany Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Machine Learning Operations Market

• 18.1. France Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Machine Learning Operations Market

• 19.1. Italy Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Machine Learning Operations Market

• 20.1. Spain Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Machine Learning Operations Market

• 21.1. Eastern Europe Machine Learning Operations Market Overview
• 21.2. Eastern Europe Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Machine Learning Operations Market

• 22.1. Russia Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Machine Learning Operations Market

• 23.1. North America Machine Learning Operations Market Overview
• 23.2. North America Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Machine Learning Operations Market

• 24.1. USA Machine Learning Operations Market Overview
• 24.2. USA Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Machine Learning Operations Market

• 25.1. Canada Machine Learning Operations Market Overview
• 25.2. Canada Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Machine Learning Operations Market

• 26.1. South America Machine Learning Operations Market Overview
• 26.2. South America Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Machine Learning Operations Market

• 27.1. Brazil Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Machine Learning Operations Market

• 28.1. Middle East Machine Learning Operations Market Overview
• 28.2. Middle East Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Machine Learning Operations Market

• 29.1. Africa Machine Learning Operations Market Overview
• 29.2. Africa Machine Learning Operations Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Machine Learning Operations Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Machine Learning Operations Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Machine Learning Operations Market Competitive Landscape And Company Profiles

• 30.1. Machine Learning Operations Market Competitive Landscape
• 30.2. Machine Learning Operations Market Company Profiles
  • 30.2.1. Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. Hewlett Packard Enterprise Overview, Products and Services, Strategy and Financial Analysis

31. Machine Learning Operations Market Other Major And Innovative Companies

• 31.1. Statistical Analysis System (SAS )
• 31.2. Databricks Inc.
• 31.3. Cloudera Inc.
• 31.4. Alteryx Inc.
• 31.5. Comet
• 31.6. GAVS Technologies
• 31.7. DataRobot Inc.
• 31.8. Veritone
• 31.9. Dataiku
• 31.10. Parallel LLC
• 31.11. Neptune Labs
• 31.12. SparkCognition
• 31.13. Weights & Biases
• 31.14. Kensho Technologies Inc.
• 31.15. Akira.Al

32. Global Machine Learning Operations Market Competitive Benchmarking And Dashboard

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

34. Recent Developments In The Machine Learning Operations Market

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

• 35.1 Machine Learning Operations Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Machine Learning Operations Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Machine Learning Operations 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