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2025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 2025
出版日期: | 出版商: The Business Research Company | 英文 200 Pages | 商品交期: 2-10个工作天内

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简介目录

机器学习模型营运管理（MLOPS）市场规模预计在未来几年呈指数级增长。到 2029 年，这一数字将成长至 167.4 亿美元，复合年增长率为 44.5%。预测期内的成长归因于模型可解释性的提高、与人工智慧管治的整合、模型版本控制的采用率不断提高、对成本优化的关注以及垂直特定解决方案的兴起。预测期内的关键趋势包括技术进步、产品创新、云端安全计画和网路应用开发。

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) 技术的日益普及的推动。人工智慧涉及电脑系统和软体的开发，可以执行通常需要人类智慧的任务。 MLOps 利用 AI 技术确保在生产中有效部署、管理和监控机器学习模型，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月发布的报告，人工智慧的全球采用率已大幅提升至35%，较前一年上升4个百分点。据预测，2022 年采用人工智慧的公司将比 2021 年增加 13%。人工智慧采用的快速成长被认为是 MLOps 市场成长的驱动力，其中 35% 的公司已经采用人工智慧，42% 的公司正在考虑采用人工智慧，三分之二 (66%) 的公司正在实施或计划使用人工智慧实现永续性目标。

AI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) 涉及开发可以执行传统上需要人类智慧的任务的电脑系统和软体。 MLOps 利用 AI 技术在生产环境中有效部署、管理和监控机器学习模型，有助于增强机器学习 (ML) 模型的完整生命週期。根据国际商业机器公司（IBM）2022年5月发布的报告，人工智慧的全球采用率已升至35%，比前一年提高了4个百分点。此外，预计 2022 年使用 AI 的公司数量将比 2021 年增加 13%。 AI 的快速采用被认为是推动 MLOps 市场成长的关键因素，其中 35% 的公司已经采用 AI，42% 的公司正在考虑采用 AI，三分之二 (66%) 的公司计划采用或使用 AI 实现永续性目标。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场 - 宏观经济情景，包括利率、通膨、地缘政治、新冠疫情以及復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球机器学习模型营运管理 (MLOPS) PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素、限制因素）
  • 最终用途产业分析
  • 全球机器学习模型营运管理（MLOPS）市场：成长率分析
  • 全球机器学习模型营运管理 (MLOPS) 市场表现：规模与成长，2019-2024 年
  • 全球机器学习模型营运管理 (MLOPS) 市场预测：规模与成长，2024-2029 年，2034 年预测
  • 全球机器学习模型每秒运算次数 (MLOPS) 总潜在市场 (TAM)

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、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 平台
  • 服务
  • 全球机器学习模型营运管理 (MLOPS) 市场：按部署、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 本地
  • 云
  • 全球机器学习模型营运管理 (MLOPS) 市场：按组织规模、结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 大型企业
  • 中小企业
  • 全球机器学习模型营运管理 (MLOPS) 市场：按产业、绩效与预测，2019-2024 年、2024-2029 年、2034 年
  • 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
  • 通讯
  • IT 和 ITeS
  • 能源和公共
  • 运输和物流
  • 其他行业
  • 全球机器学习模型营运管理 (MLOPS) 市场平台细分，按类型、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 模型开发平台
  • 模型部署平台
  • 监控和管理工具
  • 资料管理解决方案
  • 协作工具
  • 全球机器学习模型营运管理 (MLOPS) 市场，按服务类型、效能和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 咨询服务
  • 实施服务
  • 培训和支援服务
  • 维护服务
  • 自订开发服务

第七章 区域和国家分析

  • 全球机器学习模型营运管理 (MLOPS) 市场：按地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 全球机器学习模型营运管理 (MLOPS) 市场：按国家/地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年

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

第十四章 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30章竞争格局与公司概况

  • 机器学习模型营运管理（MLOPS）市场：竞争格局
  • 机器学习模型营运管理（MLOPS）市场：公司简介
    • 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 其他大型创新企业

  • 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 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

  • 2029 年机器学习模型营运管理 (MLOPS) 市场：提供新机会的国家
  • 2029 年机器学习模型营运管理 (MLOPS) 市场：细分领域带来新机会
  • 机器学习模型营运管理 (MLOPS) 市场 2029：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第36章 附录

简介目录
Product Code: r28447

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