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市场调查报告书
商品编码
1534969

MLOps 市场：现况分析与预测（2024-2032）

MLOps Market: Current Analysis and Forecast (2024-2032)
出版日期: | 出版商: UnivDatos Market Insights Pvt Ltd | 英文 134 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

MLOps 市场有可能呈指数级成长，在预测期内年复合成长率为 41%。企业其组织中成功应用人工智慧/机器学习理念，以建立竞争优势并提高组织价值。 MLOps 有助于实施机器学习模型。这意味着可以更轻鬆地将模型部署到生产中。此外，医疗保健、金融和电信业在资料安全、隐私和模型可解释性方面受到严格的监管标准。透过这种方式，MLOps 确保组织满足机器学习过程每个阶段治理的可听性和可追溯性等方面的监管要求。

基于组成 MLOps 市场的组件的细分包括平台和服务。2023年，平台细分市场引领市场。 MLOps 市场中的解决方案包括强大的平台和组织创建、处理和扩展机器学习模型的方法。例如，Amazon Web Services 的SageMaker 是一个通用 ML 平台，可根据全球各产业的需求启用并支援从标籤到模型部署的所有内容。

依产业划分，MLOps 市场分为 BFSI、製造业、IT/电信、零售/电子商务、能源/公用事业、医疗保健、媒体/娱乐等。2023年，IT 和通讯产业引领 MLOps 市场。 IT 和通讯是在使用 MLOps 进行网路管理、网路安全和客户价值方面最先进的行业。例如，西班牙 Telefonica 透过 MLOps 应用技术来提高网路效能和维护水准，并确保客户的可靠连接。

为了了解全球 MLOps 产业市场，该市场分为北美、欧洲、亚太地区、欧洲其他地区、中国、日本、印度、亚太地区其他地区和世界其他地区。2023年，该市场将以北美为主导，占据最大的市场占有率。北美地区保持高利润的主要原因是该地区的大多数组织从一开始就仍然坚持人工智慧，大多数科技巨头都在投资优秀的MLOps 解决方案。在这种情况下，Google、微软和 IBM 等科技巨头是致力于在 MLOps 发展方面发挥区域领导作用的关键参与者，透过各个部门促进经济发展。

进入市场的主要公司包括Akira AI（XenonStack）、Alteryx Inc.、Amazon Web Services Inc.、Dataiku Inc.、Datarobot Inc.、Domino Data Lab Inc.、Google LLC（Alphabet Inc.）、H2O.ai、Hewlett Packard Enterprise Development LP。

目录

第1章 市场介绍

  • 市场定义
  • 主要目的
  • 利害关係人
  • 限制

第2章 研究方法或前提

  • 调查过程
  • 调查方法
  • 受访者简介

第3章 执行摘要

  • 行业概况
  • 依细分市场进行预测
    • 市场成长强度
  • 区域展望

第4章 市场动态

  • 促进因素
  • 机会
  • 抑制因素
  • 趋势
  • PESTEL 分析
  • 需求方分析
  • 供给面分析
    • 併购
    • 投资场景
    • 产业洞察：主要新创公司及其独特策略

第5章 价格分析

  • 区域价格分析
  • 影响价格的因素

第6章 2022-2032年全球 MLOps 市场收入

第7章 依组件划分的市场分析

  • 平台
  • 服务

第8章 产业市场分析

  • BFSI
  • 製造业
  • IT/通信
  • 零售/电子商务
  • 能源/公用事业
  • 医疗保健
  • 媒体娱乐
  • 其他

第9章 依地区划分的市场分析

  • 北美
    • 美国
    • 加拿大
    • 其他北美地区
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 其他欧洲地区
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 世界其他地区

第10章 价值链分析

  • 主要成分分析
  • 进入市场的公司名单

第11章 竞争态势

  • 竞争仪表板
  • 竞争市场定位分析
  • 波特五力分析

第12章 公司简介

  • Akira AI（XenonStack）
  • Alteryx Inc.
  • Amazon Web Services Inc.
  • Dataiku Inc.
  • Datarobot Inc.
  • Domino Data Lab Inc.
  • Google LLC（Alphabet Inc.）
  • H2O.ai
  • Hewlett Packard Enterprise Development LP
  • International Business Machines Corporation

第13章 缩写与先决条件

第14章 附录

简介目录
Product Code: UMTI212968

MLOps is the operation of machine learning from the development of the model to the operations of the final product. The last one refers to the process of development, deployment, management, and automation of machine learning development to meet a scalable output of high-quality machine learning models.

The MLOps Market holds a promising Potential for Exponential Speedup with a CAGR of 41% for the forecast period. Businesses are applying artificial intelligence/machine learning ideas successfully in their organizations to build competitive advantages and add more value to their organizations. MLOps helps to operationalize machine learning models meaning that it makes it easier to put the models into the production environment. Further, the healthcare, finance, and telecommunications industries come under strict regulatory standards concerning data security, privacy, and model explainability. This way, MLOps ensures that an organization meets regulatory requirements on aspects such as governance audibility and traceability at each stage in the machine learning process.

The segments based on the Component that constitute the MLOps Market include Platform and Service. The Platform segment led the market in 2023. Solutions in the MLOps market contain solid platforms and instruments for organizations to create, handle, and scale up machine learning models. For instance, Amazon Web Service's SageMaker is a general ML platform that allows and supports everything from labeling to deployment of the model according to the needs of various industries across the world.

Based on the Industry Vertical, the MLOps Market has been classified into BFSI, Manufacturing, IT and Telecom, Retail and E-commerce, Energy and Utility, Healthcare, Media and Entertainment, and Others. In 2023, the IT and Telecom segment led the MLOps Market. IT and Telecom are the most advanced industries in terms of MLOps usage for the improvement of network management, cybersecurity, and customer value. For instance, through MLOps, Telefonica in Spain applies techniques of enhancing the performance of a network and level of maintenance to guarantee customers reliable connection.

In order to understand the global market of the MLOps industry, the market is divided into global regions including North America, Europe, Asia-Pacific, and the rest of the world where it is spread across the countries, namely U. S., Canada, Rest of North America, Germany, U. K., France, Spain, Italy, Rest of Europe, China, Japan, India, and Rest of Asia-Pacific and Rest of the World. In 2023, the market was led by North America, which accounts for the largest market share. The North American region holds higher revenues mainly because most organizations in this region are still sticking to AI from the starting period, and most of the tech-giants are invested in superior MLOps solutions. In this case, technology powerhouses such as Google, Microsoft, and IBM are some of the key players leaning into the regional leadership in MLOps advancement consequently boosting the economy through the different sectors.

Some of the major players operating in the market include Akira AI (XenonStack), Alteryx Inc., Amazon Web Services Inc., Dataiku Inc., Datarobot Inc., Domino Data Lab Inc., Google LLC (Alphabet Inc.), H2O.ai, and Hewlett Packard Enterprise Development LP.

TABLE OF CONTENTS

1.MARKET INTRODUCTION

  • 1.1. Market Definitions
  • 1.2. Main Objective
  • 1.3. Stakeholders
  • 1.4. Limitation

2.RESEARCH METHODOLOGY OR ASSUMPTION

  • 2.1. Research Process of the MLOps Market
  • 2.2. Research Methodology of the MLOps Market
  • 2.3. Respondent Profile

3.EXECUTIVE SUMMARY

  • 3.1. Industry Synopsis
  • 3.2. Segmental Outlook
    • 3.2.1. Market Growth Intensity
  • 3.3. Regional Outlook

4.MARKET DYNAMICS

  • 4.1. Drivers
  • 4.2. Opportunity
  • 4.3. Restraints
  • 4.4. Trends
  • 4.5. PESTEL Analysis
  • 4.6. Demand Side Analysis
  • 4.7. Supply Side Analysis
    • 4.7.1. Merger & Acquisition
    • 4.7.2. Investment Scenario
    • 4.7.3. Industry Insights: Leading Startups and Their Unique Strategies

5.PRICING ANALYSIS

  • 5.1. Regional Pricing Analysis
  • 5.2. Price Influencing Factors

6.GLOBAL MLOPS MARKET REVENUE (USD BN), 2022-2032F

7.MARKET INSIGHTS BY COMPONENT

  • 7.1. Platform
  • 7.2. Service

8.MARKET INSIGHTS BY INDUSTRY VERTICAL

  • 8.1. BFSI
  • 8.2. Manufacturing
  • 8.3. IT and Telecom
  • 8.4. Retail and E-commerce
  • 8.5. Energy and Utility
  • 8.6. Healthcare
  • 8.7. Media and Entertainment
  • 8.8. Others

9.MARKET INSIGHTS BY REGION

  • 9.1. North America
    • 9.1.1. U.S.
    • 9.1.2. Canada
    • 9.1.3. Rest of North America
  • 9.2. Europe
    • 9.2.1. Germany
    • 9.2.2. U.K.
    • 9.2.3. France
    • 9.2.4. Italy
    • 9.2.5. Spain
    • 9.2.6. Rest of Europe
  • 9.3. Asia-Pacific
    • 9.3.1. China
    • 9.3.2. Japan
    • 9.3.3. India
    • 9.3.4. Rest of Asia-Pacific
  • 9.4. Rest of World

10.VALUE CHAIN ANALYSIS

  • 10.1. Key Component Analysis
  • 10.2. List of Market Participants

11.COMPETITIVE LANDSCAPE

  • 11.1. Competition Dashboard
  • 11.2. Competitor Market Positioning Analysis
  • 11.3. Porter Five Forces Analysis

12.COMPANY PROFILED

  • 12.1. Akira AI (XenonStack)
    • 12.1.1. Company Overview
    • 12.1.2. Key Financials
    • 12.1.3. SWOT Analysis
    • 12.1.4. Product Portfolio
    • 12.1.5. Recent Developments
  • 12.2. Alteryx Inc.
  • 12.3. Amazon Web Services Inc.
  • 12.4. Dataiku Inc.
  • 12.5. Datarobot Inc.
  • 12.6. Domino Data Lab Inc.
  • 12.7. Google LLC (Alphabet Inc.)
  • 12.8. H2O.ai
  • 12.9. Hewlett Packard Enterprise Development LP
  • 12.10. International Business Machines Corporation

13.ACRONYMS & ASSUMPTION

14.ANNEXURE