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機械学習モデル運用管理（MLOPS）の世界市場レポート 2024

Machine Learning Model Operationalization Management (MLOPS) Global Market Report 2024
出版日: 受注後更新 | 発行: The Business Research Company | ページ情報: 英文 175 Pages | 納期: 2～10営業日

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機械学習モデル運用管理（MLOPS）の世界市場レポート 2024
出版日: 受注後更新
発行: The Business Research Company
ページ情報: 英文 175 Pages
納期: 2～10営業日
  • 全表示
  • 概要
  • 目次
概要

機械学習モデル運用管理（MLOPS）の市場規模は、今後数年間で急激に成長すると予想されています。 2028年には44.6%の年間複合成長率（CAGR）で115億6,000万米ドルに成長すると予想されます。予測期間で予想される成長は、モデルの説明可能性の進歩、AIガバナンス実践との統合、モデルのバージョニングの採用の拡大、コストの最適化への焦点、業界固有のソリューションの増加など、いくつかの要因によるものと考えられます。予測期間中に予想される主な動向には、テクノロジーの進歩、製品の革新、クラウドセキュリティの取り組み、Webアプリケーションの開発が含まれます。これらの動向は集合的に、機械学習モデル運用管理（MLOPS）の情勢に貢献しています。

機械学習モデル運用管理（MLOPS）市場の成長は、人工知能（AI）テクノロジーの採用増加によって促進されると予想されます。 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またはソフトウェアの開発が含まれます。 MLOpsはAIテクノロジーを利用して、実稼働環境での機械学習モデルの効果的な導入、管理、監視を確保し、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。 International Business Machines Corporation（IBM）の2022年 5月のレポートによると、世界のAI採用率は35%と大幅に増加し、前年比4ポイントの上昇を記録しました。 2022年には、2021年と比較して13%多くの企業がAIを導入すると予測されています。35%の組織がすでにAIを導入しており、42%がAI導入を検討しており、3分の2（66%）の企業が導入を実行または計画しています。持続可能性の目標のためにAIを活用する場合、AI導入の急増がMLOps市場の成長の原動力であると認識されています。

AIテクノロジーの普及により、機械学習モデル運用管理（MLOPS）市場の拡大が促進されることになります。人工知能（AI）には、従来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またはソフトウェアの開発が含まれます。 MLOpsはAIテクノロジーを活用して、実稼働環境での機械学習モデルの効率的な導入、管理、監視を保証し、機械学習（ML）モデルの包括的なライフサイクルの強化に貢献します。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）の2022年 5月のレポートによると、世界のAI採用率は35%まで著しく上昇し、前年から4ポイント増加しました。さらに、2022年には、AIを使用する企業が2021年と比較して13%増加すると予測されています。組織の35%がすでにAIを導入しており、42%がAI導入を検討しており、企業の3分の2（66%）が導入または活用を計画しています。持続可能性の目標に向けたAIでは、AI導入の急増がMLOps市場の成長を推進する極めて重要な要因として認識されています。

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 マクロ経済シナリオ

  • 高インフレが市場に与える影響
  • ウクライナ・ロシア戦争が市場に与える影響
  • COVID-19による市場への影響

第5章 世界市場規模と成長

  • 世界の市場促進要因と抑制要因
    • 市場促進要因
    • 市場抑制要因
  • 世界の市場規模実績と成長、2018年～2023年
  • 世界の市場規模予測と成長、2023年～2028年、2033年

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、コンポーネント別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • プラットホーム
  • サービス
  • 世界の機械学習モデル運用管理（MLOPS）市場、展開別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • 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、組織規模別のセグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • 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、実績および予測、2018-2023年、2023-2028年、2033年
  • 銀行金融サービスおよび保険
  • 小売と電子商取引
  • 政府と防衛
  • 健康と生命科学
  • 製造業
  • 電気通信
  • ITとIT
  • エネルギーと公共事業
  • 輸送と物流
  • その他の業界

第7章 地域および国の分析

  • 世界の機械学習モデル運用管理（MLOPS）市場、地域別、実績および予測、2018-2023年、2023-2028年、2033年
  • 世界の機械学習モデル運用管理（MLOPS）市場、国別、実績および予測、2018-2023年、2023-2028年、2033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

  • 機械学習モデル運用管理（MLOPS）市場の競合情勢
  • 機械学習モデル運用管理（MLOPS）市場の企業プロファイル
    • Google LLC
    • Microsoft Corporation
    • Amazon Web Services Inc.
    • IBM Corporation
    • Oracle Corporation

第31章 その他の主要および革新的な企業

  • 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 競合ベンチマーキング

第33章 競合ダッシュボード

第34章 主要な合併と買収

第35章 将来の見通しと可能性の分析

第36章 付録

目次
Product Code: r16490

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 $1.83 billion in 2023 to $2.65 billion in 2024 at a compound annual growth rate (CAGR) of 44.9%. The growth observed in the historic period can be attributed to several factors, including the proliferation of machine learning models, the escalating complexity of ML models, the surge in data volumes, a growing demand for automation, and the rise of cloud computing. These trends collectively contributed to the development and adoption of Machine Learning Model Operationalization Management (MLOps) during that period.

The machine learning model operationalization management (mlops) market size is expected to see exponential growth in the next few years. It will grow to $11.56 billion in 2028 at a compound annual growth rate (CAGR) of 44.6%. The anticipated growth in the forecast period can be attributed to several factors, including advancements in model explainability, integration with AI governance practices, a greater adoption of model versioning, a focus on cost optimization, and increased industry-specific solutions. Major trends expected in the forecast period encompass advancements in technology, product innovations, initiatives in cloud security, and developments in web applications. These trends collectively contribute to the evolving landscape of Machine Learning Model Operationalization Management (MLOps).

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 2023. 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 2024 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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the coronavirus and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
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  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for machine learning 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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

  • 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
  • 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

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Machine Learning Model Operationalization Management (MLOPS) Market Size and Growth

  • 5.1. Global Machine Learning Model Operationalization Management (MLOPS) Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Machine Learning Model Operationalization Management (MLOPS) Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Machine Learning Model Operationalization Management (MLOPS) Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Platform
  • Services
  • 6.2. Global Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • On-Premises
  • Cloud
  • 6.3. Global Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Large Enterprises
  • Small And Medium-Sized Enterprises
  • 6.4. Global Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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

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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Machine Learning Model Operationalization Management (MLOPS) Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, Impact Of COVID-19, 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Machine Learning Model Operationalization Management (MLOPS) Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Microsoft Corporation
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Amazon Web Services Inc.
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. IBM Corporation
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Oracle Corporation
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

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

33. Global Machine Learning Model Operationalization Management (MLOPS) Market Competitive Dashboard

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

35. Machine Learning Model Operationalization Management (MLOPS) Market Future Outlook and Potential Analysis

  • 35.1 Machine Learning Model Operationalization Management (MLOPS) Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Machine Learning Model Operationalization Management (MLOPS) Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Machine Learning Model Operationalization Management (MLOPS) Market In 2028 - 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