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市场调查报告书
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1453748

2023-2030 年全球 MLOps 市场规模研究与预测（按组件、部署、组织规模、垂直和区域分析）

Global MLOps Market Size Study & Forecast, by Component, by Deployment, by Organization Size, by Vertical, and Regional Analysis, 2023-2030
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 | 商品交期: 2-3个工作天内

价格

2022 年全球 MLOps 市场价值约为 11.9 亿美元，预计在 2023-2030 年预测期内将以超过 39.7% 的健康成长率成长。 MLOps（即机器学习操作）包含旨在简化生产环境中机器学习 (ML) 模型的部署、监控和管理的实务、工具和方法。它整合了 DevOps 的原则，以弥合资料科学和 IT 营运之间的差距。关键元件包括 ML 模型和资料的版本控制、自动化测试、CI/CD 管道、模型监控以及可扩展 ML 部署的基础架构管理。 MLOps 促进资料科学家、工程师和营运团队之间的协作，确保稳健、可靠且可扩展的 ML 模型，同时维护治理、合规性和安全标准。它在机器学习的实施中发挥着至关重要的作用，使组织能够从投资中获取价值，并推动医疗保健、金融和电子商务等各个领域的创新。人们越来越关注机器学习流程的标准化以实现有效的团队合作，以及由于可监控性的提高而提高的效率，再加上生产力的提高和人工智慧实施速度的加快，这些都是推动全球市场需求的最突出因素。

此外，向基于云端的基础设施和工具的快速转变有助于更广泛的用户更轻鬆地进行人工智慧开发和部署。根据Statista统计，2023年云端IT基础设施支出接近940亿美元，预计到2026年将飙升至1,337亿美元。公有云基础设施的扩张仍然是IT支出成长的重要催化剂。主导市场格局的主要参与者包括戴尔科技、HPE、浪潮、联想、IBM 和华为。 MLOps 平台利用云端功能来提供可扩展、敏捷且可存取的解决方案。此外，金融领域机器学习使用的增加，以及企业对基于机器学习/人工智慧的专案需求的激增，在预测几年内带来了各种利润丰厚的机会。然而，管理各种管道的难度和原始资料操纵的风险正在阻碍整个2023-2030年预测期内的市场成长。

全球 MLOps 市场研究考虑的关键区域包括亚太地区、北美、欧洲、拉丁美洲以及中东和非洲。北美在 2022 年占据市场主导地位，因为该地区在人工智慧 (AI) 领域拥有强大的研发能力，并得到成熟经济体、研究机构和领先人工智慧公司的支持。旨在增强客户体验和优化业务运营的先进技术的投资不断增加，预计将在整个北美创造利润丰厚的成长前景。此外，该地区拥有先进的人工智慧研发能力，并对人工智慧相关技术进行了大量投资。此外，北美也实施了有利于促进人工智慧发展的政策。例如，2022 年 12 月，开源公司 Allegro AI 宣布在用户群、收入和合作方面实现重大成长里程碑，进一步强调了该地区推动人工智慧创新的承诺。而亚太地区预计在预测年份将以最高的CAGR成长。云端运算产业的快速成长，以及亚马逊网路服务公司、微软和谷歌等主要参与者的扩张，正在显着推动整个地区的市场需求。随着组织整合云端基础架构的可扩展性和灵活性，基于云端的 MLOps 解决方案预计将在该地区广泛采用。此外，亚太地区的政府和企业正在人工智慧和机器学习方面进行大量投资，从而推动了对能够促进机器学习模型大规模开发和部署的 MLOps 解决方案的需求。

研究的目的是确定近年来不同细分市场和国家的市场规模，并预测未来几年的价值。该报告旨在纳入参与研究的国家内该行业的定性和定量方面。

该报告还提供了有关驱动因素和挑战等关键方面的详细信息，这些因素将决定市场的未来成长。此外，它还纳入了利害关係人投资的微观市场的潜在机会，以及对主要参与者的竞争格局和产品供应的详细分析。

目录

第 1 章：执行摘要

  • 市场概况
  • 2020-2030 年全球与细分市场估计与预测
    • MLOps 市场（按地区），2020-2030 年
    • MLOps 市场（按组件），2020-2030 年
    • MLOps 市场，依部署情况，2020-2030 年
    • MLOps 市场，依组织规模，2020-2030 年
    • MLOps 市场（按垂直领域），2020-2030 年
  • 主要趋势
  • 估算方法
  • 研究假设

第 2 章：全球 MLOps 市场定义与范围

  • 研究目的
  • 市场定义和范围
    • 产业演变
    • 研究范围
  • 研究考虑的年份
  • 货币兑换率

第 3 章：全球 MLOps 市场动态

  • MLOps 市场影响分析（2020-2030）
    • 市场驱动因素
      • 快速转向基于云端的基础设施
      • 越来越关注机器学习流程的标准化以实现有效的团队合作
    • 市场挑战
      • 各种管道管理困难
      • 原始资料操纵的风险
    • 市场机会
      • 金融领域机器学习的使用增加
      • 企业对基于机器学习/人工智慧的专案的需求激增

第 4 章：全球 MLOps 市场产业分析

  • 波特的五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争竞争
  • 波特的五力影响分析
  • PEST分析
    • 政治的
    • 经济
    • 社会的
    • 技术性
    • 环境的
    • 合法的
  • 顶级投资机会
  • 最佳制胜策略
  • COVID-19 影响分析
  • 颠覆性趋势
  • 产业专家视角
  • 分析师推荐与结论

第 5 章：全球 MLOps 市场（按组件）

  • 市场概况
  • 按组件、性能分類的全球 MLOps 市场 - 潜力分析
  • 2020-2030 年按组件分類的全球 MLOps 市场估计和预测
  • MLOps 市场，细分市场分析
    • 平台
    • 服务

第 6 章：全球 MLOps 市场（按部署）

  • 市场概况
  • 按部署、效能分類的全球 MLOps 市场 - 潜力分析
  • 2020-2030 年按部署分類的全球 MLOps 市场估计和预测
  • MLOps 市场，细分市场分析
    • 云
    • 本地部署

第 7 章：全球 MLOps 市场（按组织规模）

  • 市场概况
  • 按组织规模、绩效分類的全球 MLOps 市场 - 潜力分析
  • 2020-2030 年按组织规模分類的全球 MLOps 市场估计与预测
  • MLOps 市场，细分市场分析
    • 中小企业
    • 大型企业

第 8 章：MLOps 市场（按行业）

  • 市场概况
  • 按垂直、性能分類的全球 MLOps 市场 - 潜力分析
  • 2020-2030 年按垂直产业分類的全球 MLOps 市场估计与预测
  • MLOps 市场，细分市场分析
    • BFSI
    • 医疗保健与生命科学
    • 零售与电子商务
    • 资讯科技与电信
    • 能源与公用事业
    • 政府及公部门
    • 媒体与娱乐
    • 其他的

第 9 章：全球 MLOps 市场、区域分析

  • 领先国家
  • 顶尖新兴国家
  • MLOps 市场、区域市场简介
  • 北美洲
    • 我们
      • 2020-2030 年组件细分估计与预测
      • 2020-2030 年部署细分估计与预测
      • 2020-2030 年组织规模细分估计与预测
      • 2020-2030 年垂直细分估计与预测
    • 加拿大
  • 欧洲 MLOps 市场概况
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 亚太地区 MLOps 市场概况
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 亚太地区其他地区
  • 拉丁美洲 MLOps 市场概况
    • 巴西
    • 墨西哥
  • 中东和非洲
    • 沙乌地阿拉伯
    • 南非
    • 中东和非洲其他地区

第 10 章：竞争情报

  • 重点企业SWOT分析
    • 公司1
    • 公司2
    • 公司3
  • 顶级市场策略
  • 公司简介
    • 国际商业机器 (IBM) 公司
      • 关键讯息
      • 概述
      • 财务（视数据可用性而定）
      • 产品概要
      • 最近的发展
    • 微软公司
    • 谷歌有限责任公司
    • 亚马逊网路服务公司
    • 惠普企业开发有限公司
    • 海王星实验室有限公司
    • 数据机器人公司
    • 达泰库。
    • ALTERYX 公司
    • GAVS 技术公司

第 11 章：研究过程

  • 研究过程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
  • 研究假设

Global MLOps Market is valued at approximately USD 1.19 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 39.7% during the forecast period 2023-2030. MLOps, or Machine Learning Operations, encompasses practices, tools, and methodologies aimed at streamlining the deployment, monitoring, and management of Machine Learning (ML) models in production environments. It integrates principles from DevOps to bridge the gap between data science and IT operations. Key components include version control for ML models and data, automated testing, CI/CD pipelines, model monitoring, and infrastructure management for scalable ML deployments. MLOps facilitates collaboration between data scientists, engineers, and operations teams, ensuring robust, reliable, and scalable ML models while upholding governance, compliance, and security standards. It plays a vital role in operationalizing ML, enabling organizations to derive value from their investments and drive innovation across various domains such as healthcare, finance, and e-commerce. The growing focus on the standardization of ML processes for effective teamwork, and improved efficiency due to increased monitorability, coupled with increased productivity and quicker AI implementation are the most prominent factors that are propelling the market demand across the globe.

In addition, the rapid shift towards cloud-based infrastructure and tools facilitates easier access to AI development and deployment for a wider range of users. According to Statista, the expenditure on cloud IT infrastructure accounts for nearly USD 94 billion in 2023, which is anticipated to surge to USD 133.7 billion by 2026. The expansion of public cloud infrastructure remains a significant catalyst for IT spending growth. Key players dominating the market landscape comprise Dell Technologies, HPE, Inspur, Lenovo, IBM, and Huawei. MLOps platforms leverage cloud capabilities to provide scalable, agile, and accessible solutions. Moreover, the rise in the use of machine learning in the financial sector, as well as the surge in demand for ML/AI-based projects among businesses presents various lucrative opportunities over the forecast years. However, the difficulty in managing various pipelines and the risk of raw data manipulation is hindering the market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global MLOps Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the region's robust research and development competencies in Artificial Intelligence (AI), supported by well-established economies, research institutions, and leading AI firms. The growing investment in advanced technologies aimed at augmenting customer experiences and optimizing business operations is poised to create lucrative growth prospects across North America. Additionally, the region boasts sophisticated AI research and development capabilities, with substantial investments in AI-related technologies. Furthermore, North America has implemented policies conducive to fostering AI development. For instance, in December 2022, Allegro AI, an open-source company, announced significant growth milestones in user base, revenue, and collaborations, further underscoring the region's commitment to advancing AI innovation. Whereas, Asia Pacific is expected to grow at the highest CAGR over the forecast years. The rapid growth of the cloud computing sector, along with key players like Amazon Web Services, Inc., Microsoft, and Google expanding their footprint are significantly propelling the market demand across the region. Cloud-based MLOps solutions are projected to witness substantial adoption in the region, as organizations integrate the scalability and flexibility of cloud infrastructure. Moreover, governments and enterprises across the APAC region are making significant investments in AI and machine learning, thereby fueling the demand for MLOps solutions capable of facilitating the development and deployment of machine learning models at scale.

Major market players included in this report are:

  • International Business Machines (IBM) Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services, Inc.
  • Hewlett Packard Enterprise Development LP
  • Neptune Labs, Inc.
  • DataRobot, Inc.
  • Dataiku.
  • ALTERYX, Inc.
  • GAVS Technologies N.A., Inc.

Recent Developments in the Market:

  • In April 2023, Canonical Ltd., a renowned computer software company, unveiled the release of Charmed Kubeflow, its machine learning operations toolkit, on Amazon Web Services Inc.'s cloud marketplace. This launch caters to businesses seeking to initiate and advance their machine learning and artificial intelligence endeavors effectively.
  • In May 2022, GAVS Technologies announced its collaboration with NTT Ltd., marking the integration of the ZIF AIOps platform into NTT Ltd.'s Infrastructure Managed Services (IMS).
  • In January 2021, Alteryx partnered with Snowflake to meet the increasing demand in the market. This partnership merges Alteryx's data science and automation capabilities with Snowflake's platform to provide shared customers with automated data pipelining, accelerated data processing, and enhanced analytics capabilities at scale.

Global MLOps Market Report Scope:

  • Historical Data - 2020 - 2021
  • Base Year for Estimation - 2022
  • Forecast period - 2023-2030
  • Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
  • Segments Covered - Component, Deployment, Organization Size, Vertical, Region
  • Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
  • Customization Scope - Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:

  • Platform
  • Service

By Deployment:

  • Cloud
  • On-premise

By Organization Size:

  • SMEs
  • Large Enterprises

By Vertical:

  • BFSI
  • Healthcare & Life Sciences
  • Retail & E-Commerce
  • IT & Telecom
  • Energy & Utilities
  • Government & Public Sector
  • Media & Entertainment
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa

Table of Contents

Chapter 1.Executive Summary

  • 1.1.Market Snapshot
  • 1.2.Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
    • 1.2.1.MLOps Market, by Region, 2020-2030 (USD Billion)
    • 1.2.2.MLOps Market, by Component, 2020-2030 (USD Billion)
    • 1.2.3.MLOps Market, by Deployment, 2020-2030 (USD Billion)
    • 1.2.4.MLOps Market, by Organization Size, 2020-2030 (USD Billion)
    • 1.2.5.MLOps Market, by Vertical, 2020-2030 (USD Billion)
  • 1.3.Key Trends
  • 1.4.Estimation Methodology
  • 1.5.Research Assumption

Chapter 2.Global MLOps Market Definition and Scope

  • 2.1.Objective of the Study
  • 2.2.Market Definition & Scope
    • 2.2.1.Industry Evolution
    • 2.2.2.Scope of the Study
  • 2.3.Years Considered for the Study
  • 2.4.Currency Conversion Rates

Chapter 3.Global MLOps Market Dynamics

  • 3.1.MLOps Market Impact Analysis (2020-2030)
    • 3.1.1.Market Drivers
      • 3.1.1.1.Rapid shift towards cloud-based infrastructure
      • 3.1.1.2.Rising focus on the standardization of ML processes for effective teamwork
    • 3.1.2.Market Challenges
      • 3.1.2.1.Difficulty in managing various pipelines
      • 3.1.2.2.Risk of raw data manipulation
    • 3.1.3.Market Opportunities
      • 3.1.3.1.Rise in use of machine learning in financial sector
      • 3.1.3.2.Surge in demand for ML/AI-based projects among businesses

Chapter 4.Global MLOps Market Industry Analysis

  • 4.1.Porter's 5 Force Model
    • 4.1.1.Bargaining Power of Suppliers
    • 4.1.2.Bargaining Power of Buyers
    • 4.1.3.Threat of New Entrants
    • 4.1.4.Threat of Substitutes
    • 4.1.5.Competitive Rivalry
  • 4.2.Porter's 5 Force Impact Analysis
  • 4.3.PEST Analysis
    • 4.3.1.Political
    • 4.3.2.Economical
    • 4.3.3.Social
    • 4.3.4.Technological
    • 4.3.5.Environmental
    • 4.3.6.Legal
  • 4.4.Top investment opportunity
  • 4.5.Top winning strategies
  • 4.6.COVID-19 Impact Analysis
  • 4.7.Disruptive Trends
  • 4.8.Industry Expert Perspective
  • 4.9.Analyst Recommendation & Conclusion

Chapter 5.Global MLOps Market, by Component

  • 5.1.Market Snapshot
  • 5.2.Global MLOps Market by Component, Performance - Potential Analysis
  • 5.3.Global MLOps Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
  • 5.4.MLOps Market, Sub Segment Analysis
    • 5.4.1.Platform
    • 5.4.2.Service

Chapter 6.Global MLOps Market, by Deployment

  • 6.1.Market Snapshot
  • 6.2.Global MLOps Market by Deployment, Performance - Potential Analysis
  • 6.3.Global MLOps Market Estimates & Forecasts by Deployment 2020-2030 (USD Billion)
  • 6.4.MLOps Market, Sub Segment Analysis
    • 6.4.1.Cloud
    • 6.4.2.On-premise

Chapter 7.Global MLOps Market, by Organization Size

  • 7.1.Market Snapshot
  • 7.2.Global MLOps Market by Organization Size, Performance - Potential Analysis
  • 7.3.Global MLOps Market Estimates & Forecasts by Organization Size 2020-2030 (USD Billion)
  • 7.4.MLOps Market, Sub Segment Analysis
    • 7.4.1.SMEs
    • 7.4.2.Large Enterprises

Chapter 8.MLOps Market, by Vertical

  • 8.1.Market Snapshot
  • 8.2.Global MLOps Market by Vertical, Performance - Potential Analysis
  • 8.3.Global MLOps Market Estimates & Forecasts by Vertical 2020-2030 (USD Billion)
  • 8.4.MLOps Market, Sub Segment Analysis
    • 8.4.1.BFSI
    • 8.4.2.Healthcare & Life Sciences
    • 8.4.3.Retail & E-Commerce
    • 8.4.4.IT & Telecom
    • 8.4.5.Energy & Utilities
    • 8.4.6.Government & Public Sector
    • 8.4.7.Media & Entertainment
    • 8.4.8.Others

Chapter 9.Global MLOps Market, Regional Analysis

  • 9.1.Top Leading Countries
  • 9.2.Top Emerging Countries
  • 9.3.MLOps Market, Regional Market Snapshot
  • 9.4.North America MLOps Market
    • 9.4.1.U.S. MLOps Market
      • 9.4.1.1.Component breakdown estimates & forecasts, 2020-2030
      • 9.4.1.2.Deployment breakdown estimates & forecasts, 2020-2030
      • 9.4.1.3.Organization Size breakdown estimates & forecasts, 2020-2030
      • 9.4.1.4.Vertical breakdown estimates & forecasts, 2020-2030
    • 9.4.2.Canada MLOps Market
  • 9.5.Europe MLOps Market Snapshot
    • 9.5.1.U.K. MLOps Market
    • 9.5.2.Germany MLOps Market
    • 9.5.3.France MLOps Market
    • 9.5.4.Spain MLOps Market
    • 9.5.5.Italy MLOps Market
    • 9.5.6.Rest of Europe MLOps Market
  • 9.6.Asia-Pacific MLOps Market Snapshot
    • 9.6.1.China MLOps Market
    • 9.6.2.India MLOps Market
    • 9.6.3.Japan MLOps Market
    • 9.6.4.Australia MLOps Market
    • 9.6.5.South Korea MLOps Market
    • 9.6.6.Rest of Asia Pacific MLOps Market
  • 9.7.Latin America MLOps Market Snapshot
    • 9.7.1.Brazil MLOps Market
    • 9.7.2.Mexico MLOps Market
  • 9.8.Middle East & Africa MLOps Market
    • 9.8.1.Saudi Arabia MLOps Market
    • 9.8.2.South Africa MLOps Market
    • 9.8.3.Rest of Middle East & Africa MLOps Market

Chapter 10.Competitive Intelligence

  • 10.1.Key Company SWOT Analysis
    • 10.1.1.Company 1
    • 10.1.2.Company 2
    • 10.1.3.Company 3
  • 10.2.Top Market Strategies
  • 10.3.Company Profiles
    • 10.3.1.International Business Machines (IBM) Corporation
      • 10.3.1.1.Key Information
      • 10.3.1.2.Overview
      • 10.3.1.3.Financial (Subject to Data Availability)
      • 10.3.1.4.Product Summary
      • 10.3.1.5.Recent Developments
    • 10.3.2.Microsoft Corporation
    • 10.3.3.Google LLC
    • 10.3.4.Amazon Web Services, Inc.
    • 10.3.5.Hewlett Packard Enterprise Development LP
    • 10.3.6.Neptune Labs, Inc.
    • 10.3.7.DataRobot, Inc.
    • 10.3.8.Dataiku.
    • 10.3.9.ALTERYX, Inc.
    • 10.3.10.GAVS Technologies N.A., Inc.

Chapter 11.Research Process

  • 11.1.Research Process
    • 11.1.1.Data Mining
    • 11.1.2.Analysis
    • 11.1.3.Market Estimation
    • 11.1.4.Validation
    • 11.1.5.Publishing
  • 11.2.Research Attributes
  • 11.3.Research Assumption

LIST OF TABLES

  • TABLE 1.Global MLOps Market, report scope
  • TABLE 2.Global MLOps Market estimates & forecasts by Region 2020-2030 (USD Billion)
  • TABLE 3.Global MLOps Market estimates & forecasts by Component 2020-2030 (USD Billion)
  • TABLE 4.Global MLOps Market estimates & forecasts by Deployment 2020-2030 (USD Billion)
  • TABLE 5.Global MLOps Market estimates & forecasts by Organization Size 2020-2030 (USD Billion)
  • TABLE 6.Global MLOps Market estimates & forecasts by Vertical 2020-2030 (USD Billion)
  • TABLE 7.Global MLOps Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 8.Global MLOps Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 9.Global MLOps Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 10.Global MLOps Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 11.Global MLOps Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 12.Global MLOps Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 13.Global MLOps Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 14.Global MLOps Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 15.Global MLOps Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 16.Global MLOps Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 17.U.S. MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 18.U.S. MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 19.U.S. MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 20.Canada MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 21.Canada MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 22.Canada MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 23.UK MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 24.UK MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 25.UK MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 26.Germany MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 27.Germany MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 28.Germany MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 29.France MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 30.France MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 31.France MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 32.Italy MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 33.Italy MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 34.Italy MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 35.Spain MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 36.Spain MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 37.Spain MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 38.RoE MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 39.RoE MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 40.RoE MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 41.China MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 42.China MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 43.China MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 44.India MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 45.India MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 46.India MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 47.Japan MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 48.Japan MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 49.Japan MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 50.South Korea MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 51.South Korea MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 52.South Korea MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 53.Australia MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 54.Australia MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 55.Australia MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 56.RoAPAC MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 57.RoAPAC MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 58.RoAPAC MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 59.Brazil MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 60.Brazil MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 61.Brazil MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 62.Mexico MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 63.Mexico MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 64.Mexico MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 65.RoLA MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 66.RoLA MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 67.RoLA MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 68.Saudi Arabia MLOps Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 69.South Africa MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 70.RoMEA MLOps Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 71.List of secondary sources, used in the study of global MLOps Market
  • TABLE 72.List of primary sources, used in the study of global MLOps Market
  • TABLE 73.Years considered for the study
  • TABLE 74.Exchange rates considered

List of tables and figures and dummy in nature, final lists may vary in the final deliverable

LIST OF FIGURES

  • FIG 1.Global MLOps Market, research methodology
  • FIG 2.Global MLOps Market, Market estimation techniques
  • FIG 3.Global Market size estimates & forecast methods
  • FIG 4.Global MLOps Market, key trends 2022
  • FIG 5.Global MLOps Market, growth prospects 2023-2030
  • FIG 6.Global MLOps Market, porters 5 force model
  • FIG 7.Global MLOps Market, pest analysis
  • FIG 8.Global MLOps Market, value chain analysis
  • FIG 9.Global MLOps Market by segment, 2020 & 2030 (USD Billion)
  • FIG 10.Global MLOps Market by segment, 2020 & 2030 (USD Billion)
  • FIG 11.Global MLOps Market by segment, 2020 & 2030 (USD Billion)
  • FIG 12.Global MLOps Market by segment, 2020 & 2030 (USD Billion)
  • FIG 13.Global MLOps Market by segment, 2020 & 2030 (USD Billion)
  • FIG 14.Global MLOps Market, regional snapshot 2020 & 2030
  • FIG 15.North America MLOps Market 2020 & 2030 (USD Billion)
  • FIG 16.Europe MLOps Market 2020 & 2030 (USD Billion)
  • FIG 17.Asia pacific MLOps Market 2020 & 2030 (USD Billion)
  • FIG 18.Latin America MLOps Market 2020 & 2030 (USD Billion)
  • FIG 19.Middle East & Africa MLOps Market 2020 & 2030 (USD Billion)

List of tables and figures and dummy in nature, final lists may vary in the final deliverable