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市场调查报告书
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2024 年机器学习模型营运管理 (MLOPS) 全球市场报告

Machine Learning Model Operationalization Management (MLOPS) Global Market Report 2024
出版日期: 按订单生产 | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

机器学习模型营运管理（MLOPS）的市场规模预计在未来几年将快速成长。预计到 2028 年将以 44.6% 的复合年增长率 (CAGR) 增长至 115.6 亿美元。预测期内的预期成长由多个因素驱动，包括模型可解释性的进步、与人工智慧管治实践的整合、模型版本控制的更多采用、对成本优化的关注以及特定产业解决方案的增加。这被认为是由于与以下因素有关。预测期内预计的主要趋势包括技术进步、产品创新、云端安全计画和 Web 应用程式开发。总的来说，这些趋势正在为机器学习模型营运管理 (MLOPS) 领域做出贡献。

机器学习模型营运管理（MLOPS）市场的成长预计将受到人工智慧（AI）技术日益普及的推动。人工智慧涉及电脑系统或软体的开发，这些系统或软体可以执行通常需要人类智慧的任务。 MLOps 利用 AI 技术确保运作环境中机器学习模型的有效部署、管理和监控，从而增强机器学习 (ML) 模型的端到端生命週期。根据国际商业机器公司（IBM）2022年5月的报告，全球人工智慧采用率大幅成长35%，与前一年同期比较成长4个百分点。根据预测，与 2021 年相比，2022 年实施人工智慧的公司将增加 13%。 35% 的组织已经实施了人工智慧，42% 的组织正在考虑实施人工智慧，三分之二 (66%) 的组织正在实施或计划实施人工智慧。在利用人工智慧实现永续性目标方面，人工智慧采用的快速成长已被认为是 MLOps 市场成长的驱动力。

人工智慧技术的普及将推动机器学习模型营运管理（MLOPS）市场的扩大。人工智慧 (AI) 涉及电脑系统或软体的开发，这些系统或软体可以执行传统上需要人类智慧的任务。 MLOps 利用 AI 技术确保运作环境中机器学习模型的高效部署、管理和监控，有助于增强机器学习 (ML) 模型的全面生命週期。根据国际商业机器公司（IBM）2022年5月的报告，全球人工智慧采用率大幅提升至35%，较前一年提高4个百分点。此外，到2022年，使用人工智慧的公司数量预计将比2021年增加13%。 35% 的组织已经实施了人工智慧，42% 的组织正在考虑实施人工智慧，三分之二 (66%) 的公司计划实施或利用人工智慧。随着人工智慧实现永续性目标，人工智慧采用的快速成长已被认为是推动 MLOps 市场成长的关键因素。

目录

第一章执行摘要

第二章 市场特点

第三章 市场趋势与策略

第四章宏观经济情景

  • 高通膨对市场的影响
  • 乌克兰与俄罗斯战争对市场的影响
  • COVID-19 对市场的影响

第五章世界市场规模与成长

  • 全球市场驱动因素与限制因素
    • 市场驱动因素
    • 市场限制因素
  • 2018-2023 年全球市场规模表现与成长
  • 全球市场规模预测与成长，2023-2028、2033

第六章市场区隔

  • 全球机器学习模型营运管理 (MLOPS) 市场，按组件、实际和预测细分，2018-2023、2023-2028、2033
  • 平台
  • 服务
  • 全球机器学习模型营运管理 (MLOPS) 市场，按部署、实际和预测细分，2018-2023 年、2023-2028 年、2033 年
  • 本地
  • 云
  • 全球机器学习模型营运管理 (MLOPS) 市场，按组织规模、绩效和预测细分，2018-2023、2023-2028、2033
  • 大公司
  • 中小企业
  • 全球机器学习模型营运管理 (MLOPS) 市场，按产业、实际和预测，2018-2023、2023-2028、2033
  • 银行金融服务和保险
  • 零售与电子商务
  • 政府和国防
  • 健康与生命科学
  • 製造业
  • 电讯
  • 资讯科技与资讯科技
  • 能源和公共
  • 运输和物流
  • 其他行业

第 7 章 区域与国家分析

  • 全球机器学习模型营运管理 (MLOPS) 市场，按地区、实际和预测，2018-2023、2023-2028、2033
  • 全球机器学习模型营运管理 (MLOPS) 市场，按国家/地区、实际和预测，2018-2023、2023-2028、2033

第八章亚太市场

第九章 中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第14章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章 义大利市场

第20章 西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章加拿大市场

第26章 南美洲市场

第27章 巴西市场

第28章 中东市场

第29章 非洲市场

第三十章 竞争格局及公司概况

  • 机器学习模型营运管理（MLOPS）市场的竞争格局
  • 机器学习模型营运管理 (MLOPS) 市场公司概况
    • Google LLC
    • Microsoft Corporation
    • Amazon Web Services Inc.
    • IBM Corporation
    • Oracle Corporation

第三十一章 其他重大及创新企业

  • 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章竞争基准化分析

第 33 章. 竞争对手仪表板

第三十四章 重大併购

第35章 未来前景与可能性分析

第36章附录

简介目录
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.

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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 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