機械学習モデル運用管理（MLOPS）の世界市場レポート 2025年

機械学習モデル運用管理（MLOPS）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CAGR44.5％で167億4,000万米ドルに成長します。予測期間の成長は、モデルの説明可能性の向上、AIガバナンスとの統合、モデルのバージョニングの採用拡大、コスト最適化の重視、業種別ソリューションの増加などに起因しています。予測期間の主な動向には、技術の進歩、製品の革新、クラウドセキュリティへの取り組み、Webアプリケーション開発などが含まれます。

機械学習モデル運用管理（MLOPS）市場の成長は、人工知能（AI）技術の採用増加によって促進されると予測されます。AIには、通常人間の知能を必要とするタスクを実行できるコンピューター・システムやソフトウェアの開発が含まれます。MLOpsは、本番環境における機械学習モデルの効果的な展開、管理、監視を保証するためにAI技術を活用し、それによって機械学習（ML）モデルのエンドツーエンドのライフサイクルを強化します。インターナショナル・ビジネス・マシーンズ・コーポレーション（IBM）が2022年5月に発表した報告書によると、AIの世界の導入率は35％と大幅に上昇し、前年から4ポイント上昇しました。2022年には、2021年に比べて13％多くの企業がAIを採用すると予測されています。35%の企業がすでにAIを採用し、42%の企業がAIの採用を検討しており、3分の2の企業（66%）が持続可能性の目標のためにAIの活用を実行または計画していることから、AI採用の急増はMLOps市場の成長の原動力であると認識されています。

AI技術の普及は、機械学習モデル運用管理（MLOPS）市場の拡大を促進します。人工知能（AI）には、従来は人間の知性を必要としていたタスクを実行できるコンピューター・システムやソフトウェアの開発が含まれます。MLOpsは、AI技術を活用して、本番環境における機械学習モデルの効率的な導入、管理、監視を実現し、機械学習（ML）モデルの包括的なライフサイクル強化に貢献します。インターナショナル・ビジネス・マシーンズ・コーポレーション（IBM）が2022年5月に発表したレポートによると、AIの世界の採用率は35％に上昇し、前年から4ポイント上昇しました。さらに、2022年にはAIを利用する企業が2021年比で13％増加すると予測されています。35%の企業がすでにAIを導入しており、42%の企業がAIの導入を検討しており、3分の2の企業（66%）が持続可能性の目標のためにAIを導入または活用する予定であることから、AI導入の急増はMLOps市場の成長を促進する極めて重要な要因であると認識されています。

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

• 世界機械学習モデル運用管理（MLOPS） 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
• 世界の機械学習モデル運用管理（MLOPS）市場：成長率分析
• 世界の機械学習モデル運用管理（MLOPS）市場の実績：規模と成長, 2019-2024
• 世界の機械学習モデル運用管理（MLOPS）市場の予測：規模と成長, 2024-2029, 2034F
• 世界機械学習モデル運用管理（MLOPS）総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界の機械学習モデル運用管理（MLOPS）市場：コンポーネント別、実績と予測, 2019-2024, 2024-2029F, 2034F
• プラットフォーム
• サービス
• 世界の機械学習モデル運用管理（MLOPS）市場：展開別、実績と予測, 2019-2024, 2024-2029F, 2034F
• オンプレミス
• クラウド
• 世界の機械学習モデル運用管理（MLOPS）市場：組織規模別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 大企業
• 中小企業
• 世界の機械学習モデル運用管理（MLOPS）市場：業界別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 銀行、金融サービス、保険
• 小売業と電子商取引
• 政府と防衛
• 健康と生命科学
• 製造業
• 通信
• ITとITeS
• エネルギーと公共事業
• 輸送と物流
• その他の業種
• 世界の機械学習モデル運用管理（MLOPS）市場プラットフォーム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
• モデル開発プラットフォーム
• モデル展開プラットフォーム
• 監視および管理ツール
• データ管理ソリューション
• コラボレーションツール
• 世界の機械学習モデル運用管理（MLOPS）市場、サービスの種類別の細分化、実績と予測, 2019-2024, 2024-2029F, 2034F
• コンサルティングサービス
• 実装サービス
• トレーニングおよびサポートサービス
• メンテナンスサービス
• カスタム開発サービス

第7章 地域別・国別分析

• 世界の機械学習モデル運用管理（MLOPS）市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界の機械学習モデル運用管理（MLOPS）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

• 機械学習モデル運用管理（MLOPS）市場：競合情勢
• 機械学習モデル運用管理（MLOPS）市場：企業プロファイル
  • Google LLC Overview, Products and Services, Strategy and Financial Analysis
  • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
  • IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Oracle Corporation 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

• SAP SE
• Hewlett Packard Enterprise Development LP
• SAS Institute Inc.
• Informatica Corporation
• Cloudera Inc.
• Databricks Inc
• TIBCO Software Inc.
• Alteryx Inc.
• DataRobot Inc
• Dataiku Inc.
• Domino Data Lab Inc
• Neptune Labs
• H2O.ai
• RapidMiner
• Tecton Inc

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

• 機械学習モデル運用管理（MLOPS）市場2029：新たな機会を提供する国
• 機械学習モデル運用管理（MLOPS）市場2029：新たな機会を提供するセグメント
• 機械学習モデル運用管理（MLOPS）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 Model Operationalization Management (MLOps) is the process of preparing and deploying machine learning models in a production environment. This encompasses the integration of machine learning models into business applications, analytical platforms, and other systems to ensure their effective and efficient operation in real-world scenarios. MLOps focuses on streamlining the workflow from model development to deployment, monitoring, and maintenance, ensuring that machine learning models are seamlessly integrated into the operational aspects of a business.

The primary components in Machine Learning Model Operationalization Management (MLOps) are platforms and services. A platform in this context refers to a software environment that offers a set of tools and services to oversee the complete lifecycle of machine learning models. This encompasses both on-premises and cloud deployments, catering to organizations of varying sizes, including large enterprises and small to medium-sized enterprises. End-users of MLOps platforms span across diverse sectors such as banking, financial services, and insurance, retail and e-commerce, government and defense, health and life sciences, manufacturing, telecom, IT and ITeS, energy and utilities, transportation and logistics, and others.

The machine learning model operationalization management (MLOPS) market research report is one of a series of new reports from The Business Research Company that provides machine learning model operationalization management (MLOPS) market statistics, including machine learning model operationalization management (MLOPS) industry global market size, regional shares, competitors with a machine learning model operationalization management (MLOPS) market share, detailed machine learning model operationalization management (MLOPS) market segments, market trends and opportunities, and any further data you may need to thrive in the machine learning model operationalization management (MLOPS) industry. This machine learning model operationalization management (MLOPS) 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 model operationalization management (MLOPS) market size has grown exponentially in recent years. It will grow from $2.65 billion in 2024 to $3.83 billion in 2025 at a compound annual growth rate (CAGR) of 44.8%. The growth in the historic period can be attributed to proliferation of machine learning models, rising complexity of ml models, growing data volumes, increasing demand for automation, rise of cloud computing.

The machine learning model operationalization management (MLOPS) market size is expected to see exponential growth in the next few years. It will grow to $16.74 billion in 2029 at a compound annual growth rate (CAGR) of 44.5%. The growth in the forecast period can be attributed to advancements in model explainability, integration with ai governance, greater adoption of model versioning, focus on cost optimization, increased industry-specific solutions. Major trends in the forecast period include advancements in technology, product innovations, cloud security initiatives, web applications development.

The growth of the machine learning model operationalization management (MLOps) market is anticipated to be fueled by the increasing adoption of artificial intelligence (AI) technology. AI involves the development of computer systems or software capable of performing tasks that typically require human intelligence. MLOps utilizes AI technology to ensure the effective deployment, management, and monitoring of machine learning models in production environments, thereby enhancing the end-to-end lifecycle of machine learning (ML) models. According to a May 2022 report from International Business Machines Corporation (IBM), the global adoption rate of AI has significantly increased to 35%, marking a four-point rise from the previous year. In 2022, it is projected that 13% more firms will have employed AI compared to 2021. With 35% of organizations having already adopted AI, 42% considering AI adoption, and two-thirds of companies (66%) either executing or planning to utilize AI for sustainability goals, the upsurge in AI adoption is identified as a driving force behind the MLOps market's growth.

The proliferation of AI technology is set to propel the expansion of the machine learning model operationalization management (MLOps) market. Artificial intelligence (AI) involves the development of computer systems or software capable of performing tasks traditionally requiring human intelligence. MLOps leverages AI technology to ensure the efficient deployment, management, and monitoring of machine learning models in production environments, contributing to the comprehensive lifecycle enhancement of machine learning (ML) models. As per a May 2022 report by International Business Machines Corporation (IBM), the global adoption rate of AI has notably risen to 35%, marking a four-point increase from the preceding year. Furthermore, 2022 is projected to witness a 13% growth in firms using AI compared to 2021. With 35% of organizations already embracing AI, 42% contemplating AI adoption, and two-thirds of companies (66%) either implementing or planning to leverage AI for sustainability goals, the surge in AI adoption is identified as a pivotal factor propelling the growth of the MLOps market.

In July 2022, DataRobot Inc., a US-based technology company and platform innovator, executed a strategic acquisition by acquiring Algorithmia, Inc., for $6.3 billion. This strategic move aims to augment DataRobot's machine learning operations (MLOps) infrastructure, complementing its robust offerings in DataOps and other segments. The acquisition is strategically positioned to provide enterprises with an end-to-end machine learning production system. Algorithmia Inc., based in the US, specializes in empowering developers to convert algorithms into scalable web services, aligning seamlessly with DataRobot's commitment to advancing machine learning capabilities and operations.

Major companies operating in the machine learning model operationalization management (mlops) market report are Google LLC, Microsoft Corporation, Amazon Web Services Inc., IBM Corporation, Oracle Corporation, SAP SE, Hewlett Packard Enterprise Development LP, SAS Institute Inc., Informatica Corporation, Cloudera Inc., Databricks Inc., TIBCO Software Inc., Alteryx Inc., DataRobot Inc., Dataiku Inc., Domino Data Lab Inc., Neptune Labs, H2O.ai, RapidMiner, Tecton Inc., Data Science Dojo, ModelOp Inc., Aible, Inc., Algorithmia, Inc., KNIME AG

North America was the largest region in the machine learning model operationalization management (MLOPS) market in 2024. The regions covered in the machine learning model operationalization management (mlops) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the machine learning model operationalization management (MLOPS) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The machine learning model operationalization management (MLOPS) market consists of revenues earned by entities by providing services such as model development and training, scalability, resource management, data management, model deployment, model serving, and data management. The market value includes the value of related goods sold by the service provider or included within the service offering. The machine learning model operationalization management (MLOPS) market also includes sales of version control, git, bitbucket, orchestration tools, and logging and tracing. 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 Model Operationalization Management (MLOPS) 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 model operationalization management (mlops) 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 model operationalization management (mlops) ? 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 model operationalization management (mlops) 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 Component: Platform; Services
• 2) By Deployment: On-Premises; Cloud
• 3) By Organization Size: Large Enterprises; Small And Medium-Sized Enterprises
• 4) By Vertical: Banking, Financial Services, And Insurance; Retail And Ecommerce; Government And Defense; Health And Life Sciences; Manufacturing; Telecom; IT And ITeS; Energy And Utilities; Transportation And Logistics; Other Verticals
• Subsegments:
• 1) By Platform: Model Development Platforms; Model Deployment Platforms; Monitoring And Management Tools; Data Management Solutions; Collaboration Tools
• 2) By Services: Consulting Services; Implementation Services; Training And Support Services; Maintenance Services; Custom Development Services
• Companies Mentioned: Google LLC; Microsoft Corporation; Amazon Web Services Inc.; IBM Corporation; Oracle 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 Model Operationalization Management (MLOPS) Market Characteristics

3. Machine Learning Model Operationalization Management (MLOPS) Market Trends And Strategies

4. Machine Learning Model Operationalization Management (MLOPS) Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Machine Learning Model Operationalization Management (MLOPS) Growth Analysis And Strategic Analysis Framework

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

6. Machine Learning Model Operationalization Management (MLOPS) Market Segmentation

• 6.1. Global Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Platform
• Services
• 6.2. Global Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• On-Premises
• Cloud
• 6.3. Global Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Large Enterprises
• Small And Medium-Sized Enterprises
• 6.4. Global Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Banking, Financial Services, And Insurance
• Retail And Ecommerce
• Government And Defense
• Health And Life Sciences
• Manufacturing
• Telecom
• IT And ITeS
• Energy And Utilities
• Transportation And Logistics
• Other Verticals
• 6.5. Global Machine Learning Model Operationalization Management (MLOPS) Market, Sub-Segmentation Of Platform, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Model Development Platforms
• Model Deployment Platforms
• Monitoring And Management Tools
• Data Management Solutions
• Collaboration Tools
• 6.6. Global Machine Learning Model Operationalization Management (MLOPS) Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Consulting Services
• Implementation Services
• Training And Support Services
• Maintenance Services
• Custom Development Services

7. Machine Learning Model Operationalization Management (MLOPS) Market Regional And Country Analysis

• 7.1. Global Machine Learning Model Operationalization Management (MLOPS) Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global Machine Learning Model Operationalization Management (MLOPS) Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Machine Learning Model Operationalization Management (MLOPS) Market

• 8.1. Asia-Pacific Machine Learning Model Operationalization Management (MLOPS) 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 Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Machine Learning Model Operationalization Management (MLOPS) Market

• 9.1. China Machine Learning Model Operationalization Management (MLOPS) Market Overview
• 9.2. China Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Machine Learning Model Operationalization Management (MLOPS) Market

• 10.1. India Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Machine Learning Model Operationalization Management (MLOPS) Market

• 11.1. Japan Machine Learning Model Operationalization Management (MLOPS) Market Overview
• 11.2. Japan Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Machine Learning Model Operationalization Management (MLOPS) Market

• 12.1. Australia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Machine Learning Model Operationalization Management (MLOPS) Market

• 13.1. Indonesia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Machine Learning Model Operationalization Management (MLOPS) Market

• 14.1. South Korea Machine Learning Model Operationalization Management (MLOPS) Market Overview
• 14.2. South Korea Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Machine Learning Model Operationalization Management (MLOPS) Market

• 15.1. Western Europe Machine Learning Model Operationalization Management (MLOPS) Market Overview
• 15.2. Western Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Machine Learning Model Operationalization Management (MLOPS) Market

• 16.1. UK Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Machine Learning Model Operationalization Management (MLOPS) Market

• 17.1. Germany Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Machine Learning Model Operationalization Management (MLOPS) Market

• 18.1. France Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Machine Learning Model Operationalization Management (MLOPS) Market

• 19.1. Italy Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Machine Learning Model Operationalization Management (MLOPS) Market

• 20.1. Spain Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Machine Learning Model Operationalization Management (MLOPS) Market

• 21.1. Eastern Europe Machine Learning Model Operationalization Management (MLOPS) Market Overview
• 21.2. Eastern Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Machine Learning Model Operationalization Management (MLOPS) Market

• 22.1. Russia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Machine Learning Model Operationalization Management (MLOPS) Market

• 23.1. North America Machine Learning Model Operationalization Management (MLOPS) Market Overview
• 23.2. North America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Machine Learning Model Operationalization Management (MLOPS) Market

• 24.1. USA Machine Learning Model Operationalization Management (MLOPS) Market Overview
• 24.2. USA Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Machine Learning Model Operationalization Management (MLOPS) Market

• 25.1. Canada Machine Learning Model Operationalization Management (MLOPS) Market Overview
• 25.2. Canada Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Machine Learning Model Operationalization Management (MLOPS) Market

• 26.1. South America Machine Learning Model Operationalization Management (MLOPS) Market Overview
• 26.2. South America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Machine Learning Model Operationalization Management (MLOPS) Market

• 27.1. Brazil Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Machine Learning Model Operationalization Management (MLOPS) Market

• 28.1. Middle East Machine Learning Model Operationalization Management (MLOPS) Market Overview
• 28.2. Middle East Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Machine Learning Model Operationalization Management (MLOPS) Market

• 29.1. Africa Machine Learning Model Operationalization Management (MLOPS) Market Overview
• 29.2. Africa Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Machine Learning Model Operationalization Management (MLOPS) Market Competitive Landscape And Company Profiles

• 30.1. Machine Learning Model Operationalization Management (MLOPS) Market Competitive Landscape
• 30.2. Machine Learning Model Operationalization Management (MLOPS) Market Company Profiles
  • 30.2.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis

31. Machine Learning Model Operationalization Management (MLOPS) Market Other Major And Innovative Companies

• 31.1. SAP SE
• 31.2. Hewlett Packard Enterprise Development LP
• 31.3. SAS Institute Inc.
• 31.4. Informatica Corporation
• 31.5. Cloudera Inc.
• 31.6. Databricks Inc
• 31.7. TIBCO Software Inc.
• 31.8. Alteryx Inc.
• 31.9. DataRobot Inc
• 31.10. Dataiku Inc.
• 31.11. Domino Data Lab Inc
• 31.12. Neptune Labs
• 31.13. H2O.ai
• 31.14. RapidMiner
• 31.15. Tecton Inc

32. Global Machine Learning Model Operationalization Management (MLOPS) Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Machine Learning Model Operationalization Management (MLOPS) Market

34. Recent Developments In The Machine Learning Model Operationalization Management (MLOPS) Market

35. Machine Learning Model Operationalization Management (MLOPS) Market High Potential Countries, Segments and Strategies

• 35.1 Machine Learning Model Operationalization Management (MLOPS) Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Machine Learning Model Operationalization Management (MLOPS) Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Machine Learning Model Operationalization Management (MLOPS) 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