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2023-2030 年全球 MLOps 市場規模研究與預測（按組件、部署、組織規模、垂直和區域分析）

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個工作天內

價格

2022 年全球 MLOps 市場價值約為 11.9 億美元，預計在 2023-2030 年預測期內將以超過 39.7% 的健康成長率成長。 MLOps（即機器學習操作）包含旨在簡化生產環境中機器學習 (ML) 模型的部署、監控和管理的實務、工具和方法。它整合了 DevOps 的原則，以彌合資料科學和 IT 營運之間的差距。關鍵元件包括 ML 模型和資料的版本控制、自動化測試、CI/CD 管道、模型監控以及可擴展 ML 部署的基礎架構管理。 MLOps 促進資料科學家、工程師和營運團隊之間的協作，確保穩健、可靠且可擴展的 ML 模型，同時維護治理、合規性和安全標準。它在機器學習的實施中發揮著至關重要的作用，使組織能夠從投資中獲取價值，並推動醫療保健、金融和電子商務等各個領域的創新。人們越來越關注機器學習流程的標準化以實現有效的團隊合作，以及由於可監控性的提高而提高的效率，再加上生產力的提高和人工智慧實施速度的加快，這些都是推動全球市場需求的最突出因素。

此外，向基於雲端的基礎設施和工具的快速轉變有助於更廣泛的用戶更輕鬆地進行人工智慧開發和部署。根據Statista統計，2023年雲端IT基礎設施支出接近940億美元，預計到2026年將飆升至1,337億美元。公有雲端基礎設施的擴張仍然是IT支出成長的重要催化劑。主導市場格局的主要參與者包括戴爾科技、HPE、浪潮、聯想、IBM 和華為。 MLOps 平台利用雲端功能來提供可擴展、敏捷且可存取的解決方案。此外，金融領域機器學習使用的增加，以及企業對基於機器學習/人工智慧的專案需求的激增，在預測幾年內帶來了各種利潤豐厚的機會。然而，管理各種管道的難度和原始資料操縱的風險正在阻礙整個2023-2030年預測期內的市場成長。

全球 MLOps 市場研究涵蓋的關鍵區域包括亞太地區、北美、歐洲、拉丁美洲以及中東和非洲。北美在 2022 年佔據市場主導地位，因為該地區在人工智慧 (AI) 領域擁有強大的研發能力，並得到成熟經濟體、研究機構和領先人工智慧公司的支持。旨在增強客戶體驗和最佳化業務營運的先進技術的投資不斷增加，預計將在整個北美創造利潤豐厚的成長前景。此外，該地區擁有先進的人工智慧研發能力，並對人工智慧相關技術進行了大量投資。此外，北美也實施了有利於促進人工智慧發展的政策。例如，2022 年 12 月，開源公司 Allegro AI 宣佈在用戶群、收入和合作方面實現重大成長里程碑，進一步強調了該地區推動人工智慧創新的承諾。而亞太地區預計在預測年份將以最高的CAGR成長。雲端運算產業的快速成長，以及亞馬遜網路服務公司、微軟和谷歌等主要參與者的擴張，正在顯著推動整個地區的市場需求。隨著組織整合雲端基礎架構的可擴展性和靈活性，基於雲端的 MLOps 解決方案預計將在該地區廣泛採用。此外，亞太地區的政府和企業正在人工智慧和機器學習方面進行大量投資，從而推動了對能夠促進機器學習模型大規模開發和部署的 MLOps 解決方案的需求。

研究的目的是確定近年來不同細分市場和國家的市場規模，並預測未來幾年的價值。該報告旨在納入參與研究的國家內該行業的定性和定量方面。

該報告還提供了有關促進因素和挑戰等關鍵方面的詳細資訊，這些因素將決定市場的未來成長。此外，它還納入了利害關係人投資的微觀市場的潛在機會，以及對主要參與者的競爭格局和產品供應的詳細分析。

目錄

第 1 章：執行摘要

  • 市場概況
  • 2020-2030 年全球與細分市場估計與預測
    • MLOps 市場（按地區），2020-2030 年
    • MLOps 市場（按組件），2020-2030 年
    • MLOps 市場，依部署情況，2020-2030 年
    • MLOps 市場，依組織規模，2020-2030 年
    • MLOps 市場（按垂直領域），2020-2030 年
  • 主要趨勢
  • 估算方法
  • 研究假設

第 2 章：全球 MLOps 市場定義與範圍

  • 研究目的
  • 市場定義和範圍
    • 產業演變
    • 研究範圍
  • 研究涵蓋的年份
  • 貨幣兌換率

第 3 章：全球 MLOps 市場動態

  • MLOps 市場影響分析（2020-2030）
    • 市場促進因素
      • 快速轉向基於雲端的基礎設施
      • 越來越關注機器學習流程的標準化以實現有效的團隊合作
    • 市場挑戰
      • 各種管道管理困難
      • 原始資料操縱的風險
    • 市場機會
      • 金融領域機器學習的使用增加
      • 企業對基於機器學習/人工智慧的專案的需求激增

第 4 章：全球 MLOps 市場產業分析

  • 波特的五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭競爭
  • 波特的五力影響分析
  • PEST分析
    • 政治的
    • 經濟
    • 社會的
    • 技術性
    • 環境的
    • 合法的
  • 頂級投資機會
  • 最佳制勝策略
  • COVID-19 影響分析
  • 顛覆性趨勢
  • 產業專家視角
  • 分析師推薦與結論

第 5 章：全球 MLOps 市場（按組件）

  • 市場概況
  • 按組件、性能分類的全球 MLOps 市場 - 潛力分析
  • 2020-2030 年按組件分類的全球 MLOps 市場估計和預測
  • MLOps 市場，細分市場分析
    • 平台
    • 服務

第 6 章：全球 MLOps 市場（按部署）

  • 市場概況
  • 按部署、效能分類的全球 MLOps 市場 - 潛力分析
  • 2020-2030 年按部署分類的全球 MLOps 市場估計和預測
  • MLOps 市場，細分市場分析
    • 雲
    • 本地部署

第 7 章：全球 MLOps 市場（按組織規模）

  • 市場概況
  • 按組織規模、績效分類的全球 MLOps 市場 - 潛力分析
  • 2020-2030 年按組織規模分類的全球 MLOps 市場估計與預測
  • MLOps 市場，細分市場分析
    • 中小企業
    • 大型企業

第 8 章：MLOps 市場（按行業）

  • 市場概況
  • 按垂直、性能分類的全球 MLOps 市場 - 潛力分析
  • 2020-2030 年按垂直產業分類的全球 MLOps 市場估計與預測
  • MLOps 市場，細分市場分析
    • BFSI
    • 醫療保健與生命科學
    • 零售與電子商務
    • 資訊科技與電信
    • 能源與公用事業
    • 政府及公部門
    • 媒體與娛樂
    • 其他

第 9 章：全球 MLOps 市場、區域分析

  • 領先國家
  • 頂尖新興國家
  • MLOps 市場、區域市場簡介
  • 北美洲
    • 美國
      • 2020-2030 年組件細分估計與預測
      • 2020-2030 年部署細分估計與預測
      • 2020-2030 年組織規模細分估計與預測
      • 2020-2030 年垂直細分估計與預測
    • 加拿大
  • 歐洲 MLOps 市場概況
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 亞太地區 MLOps 市場概況
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 亞太地區其他地區
  • 拉丁美洲 MLOps 市場概況
    • 巴西
    • 墨西哥
  • 中東和非洲
    • 沙烏地阿拉伯
    • 南非
    • 中東和非洲其他地區

第 10 章：競爭情報

  • 重點企業SWOT分析
    • 公司1
    • 公司2
    • 公司3
  • 頂級市場策略
  • 公司簡介
    • 國際商業機器 (IBM) 公司
      • 關鍵訊息
      • 概述
      • 財務（視數據可用性而定）
      • 產品概要
      • 最近的發展
    • 微軟公司
    • 谷歌有限責任公司
    • 亞馬遜網路服務公司
    • 惠普企業開發有限公司
    • 海王星實驗室有限公司
    • 數據機器人公司
    • 達泰庫。
    • ALTERYX 公司
    • GAVS 技術公司

第 11 章：研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
  • 研究假設

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