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市场调查报告书
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1527328

全球 ModelOps 市场规模研究（按产品、模型类型、应用、垂直产业和区域预测 2022-2032）

Global ModelOps Market Size study, by Offering, by Model Type, by Application, by Verticals and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2023 年，全球 ModelOps 市场估值为 54 亿美元，预计在 2024-2032 年预测期内将以超过 40.28% 的健康成长率成长。 ModelOps（模型操作）是指在生产环境中部署、监控、管理和扩展机器学习 (ML) 和人工智慧 (AI) 模型的端到端流程。它涵盖广泛的活动，包括模型版本控制、治理、合规性和效能监控。 ModelOps 旨在透过确保模型在实际应用程式中高效部署并可靠运行，弥合资料科学和 IT 营运之间的差距。透过自动化和简化模型的操作，ModelOps 可以帮助组织快速从 AI 和 ML 投资中获取价值，长期维持模型准确性，并遵守监管要求。对于希望扩展人工智慧计划并将模型无缝整合到业务流程中的企业来说，这项规则至关重要。

全球 ModelOps 市场由 ModelOps 与 DevOps 和 DataOps 框架的整合所驱动，代表了市场的重要驱动力。这种协同作用提高了营运效率，简化了工作流程，并弥合了模型开发和部署之间的差距。此外，资料量激增也推动了对 ModelOps 的需求，需要能够快速且准确地处理和解释大量资料集的高级分析解决方案。然而，挑战对模型的可解释性和可解释性构成了限制。组织经常努力理解和验证复杂的模型，这可能会阻碍更广泛的采用。

全球模型营运市场研究考虑的关键区域包括亚太地区、北美、欧洲、拉丁美洲和世界其他地区。 2023 年，北美将成为 ModelOps 市场的主导地区。这种领先地位的基础是强大的技术基础设施，包括云端运算和分析平台，以及全球企业的集中。该地区的监管环境、熟练的劳动力和学术贡献进一步巩固了其市场地位。北美的组织利用 ModelOps 来增强模型部署、确保合规性并促进创新。此外，预计亚太地区的市场在 2024 年至 2032 年的预测期内将以最快的速度发展。

目录

第 1 章：全球 ModelOps 市场执行摘要

  • 全球 ModelOps 市场规模及预测（2022-2032）
  • 区域概要
  • 分部摘要
    • 透过提供
    • 按型号类型
    • 按申请
    • 按垂直行业
  • 主要趋势
  • 经济衰退的影响
  • 分析师推荐与结论

第 2 章：全球 ModelOps 市场定义与研究假设

  • 研究目的
  • 市场定义
  • 研究假设
    • 包容与排除
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性（消费者的角度）
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者意识和接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第 3 章：全球 ModelOps 市场动态

  • 市场驱动因素
    • ModelOps 与 DevOps 和 DataOps 的集成
    • 数据量增加
  • 市场挑战
    • 模型的可解释性和可解释性
  • 市场机会
    • 自动化 CI/CD 管道的集成

第 4 章：全球 ModelOps 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
    • 波特五力模型的未来方法
    • 波特的 5 力影响分析
  • PESTEL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
  • 颠覆性趋势
  • 产业专家视角
  • 分析师推荐与结论

第 5 章：全球 ModelOps 市场规模与预测：按产品分类 - 2022-2032

  • 细分仪表板
  • 全球 ModelOps 市场：2022 年和 2032 年提供收入趋势分析
    • 平台
    • 部署方式
    • 服务

第 6 章：全球 ModelOps 市场规模与预测：按模型类型 - 2022-2032

  • 细分仪表板
  • 全球 ModelOps 市场：2022 年和 2032 年模型类型收入趋势分析
    • 机器学习模型
    • 基于图的模型
    • 规则和启发式模型
    • 语言模型
    • 基于代理的模型
    • 自带模型
    • 其他型号

第 7 章：全球 ModelOps 市场规模与预测：按应用分类 - 2022-2032

  • 细分仪表板
  • 全球 ModelOps 市场：2022 年和 2032 年应用收入趋势分析
    • 持续整合/持续部署
    • 大量评分
    • 治理、风险与合规
    • 平行化与分散式计算
    • 监控与警报
    • 仪表板和报告
    • 模型生命週期管理
    • 其他的

第 8 章：全球 ModelOps 市场规模与预测：按垂直产业 - 2022-2032

  • 细分仪表板
  • 全球 ModelOps 市场：2022 年和 2032 年垂直产业收入趋势分析
    • BFSI
    • 零售与电子商务
    • 医疗保健与生命科学
    • 电信
    • 资讯科技/资讯科技服务
    • 能源与公用事业
    • 製造业
    • 运输与物流
    • 政府与国防
    • 其他垂直领域

第 9 章：全球 ModelOps 市场规模与预测：按地区 - 2022-2032

  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 亚太其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地区
  • 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
  • 顶级市场策略
  • 公司简介
    • IBM
      • 关键讯息
      • 概述
      • 财务（视数据可用性而定）
      • 产品概要
      • 市场策略
    • Google
    • Oracle
    • SAS Institute
    • AWS
    • Teradata
    • Palantir
    • Veritone
    • Altair
    • c3.ai

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
简介目录

Global ModelOps Market is market is valued at USD 5.4 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 40.28% over the forecast period 2024-2032. ModelOps (Model Operations) refers to the end-to-end process of deploying, monitoring, managing, and scaling machine learning (ML) and artificial intelligence (AI) models in production environments. It encompasses a wide range of activities, including model versioning, governance, compliance, and performance monitoring. ModelOps aims to bridge the gap between data science and IT operations by ensuring that models are deployed efficiently and perform reliably in real-world applications. By automating and streamlining the operationalization of models, ModelOps helps organizations quickly derive value from their AI and ML investments, maintain model accuracy over time, and comply with regulatory requirements. This discipline is crucial for enterprises looking to scale their AI initiatives and integrate models seamlessly into their business processes.

The Global ModelOps Market is driven by integration of ModelOps with DevOps and DataOps frameworks represents a significant driver for the market. This synergy enhances operational efficiency, streamlines workflows, and bridges the gap between model development and deployment. Furthermore, the demand for ModelOps is bolstered by the surge in data volumes requiring advanced analytics solutions capable of processing and interpreting vast datasets swiftly and accurately. However, challenges possess model interpretability and explainability pose restraints. Organizations often grapple with understanding and validating complex models, which can hinder broader adoption.

The key regions considered for the Global ModelOps Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, North America stands out as a dominant region in the ModelOps market. This leadership is underpinned by robust technological infrastructure, including cloud computing and analytics platforms, and a concentration of global enterprises. The region's regulatory environment, skilled workforce, and academic contributions further reinforce its market position. Organizations in North America leverage ModelOps to enhance model deployment, ensure compliance, and foster innovation. Furthermore, the market in Asia Pacific is anticipated to develop at the fastest rate over the forecast period 2024-2032.

Major market players included in this report are:

  • IBM
  • Google
  • Oracle
  • SAS Institute
  • AWS
  • Teradata
  • Palantir
  • Veritone
  • Altair
  • c3.ai

The detailed segments and sub-segment of the market are explained below:

By Offering:

  • Platforms
  • Deployment Mode
  • Services

By Model Type:

  • ML Models
  • Graph-Based Models
  • Rule & Heuristic Models
  • Linguistic Models
  • Agent-Based Models
  • Bring Your Own Models
  • Other Model Types

By Application:

  • Continuous Integration/Continuous Deployment
  • Batch Scoring
  • Governance, Risk and Compliance
  • Parallelization & Distributed Computing
  • Monitoring & Alerting
  • Dashboard & Reporting
  • Model Lifecycle Management
  • Others

By Verticals:

  • BFSI
  • Retail & eCommerce
  • Healthcare & Life sciences
  • Telecommunications
  • IT/ITeS
  • Energy & Utilities
  • Manufacturing
  • Transportation & Logistics
  • Government & Defense
  • Other Verticals

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
  • RoLA
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market

Table of Contents

Chapter 1. Global ModelOps Market Executive Summary

  • 1.1. Global ModelOps Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Offering
    • 1.3.2. By Model Type
    • 1.3.3. By Application
    • 1.3.4. By Verticals
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global ModelOps Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global ModelOps Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Integration of ModelOps with DevOps and DataOps
    • 3.1.2. Increase in Data Volume
  • 3.2. Market Challenges
    • 3.2.1. Model Interpretability and Explainability
  • 3.3. Market Opportunities
    • 3.3.1. Integration of Automated CI/CD Pipelines

Chapter 4. Global ModelOps 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
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top investment opportunity
  • 4.4. Top winning strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global ModelOps Market Size & Forecasts by Offering 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global ModelOps Market: Offering Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Platforms
    • 5.2.2. Deployment Mode
    • 5.2.3. Services

Chapter 6. Global ModelOps Market Size & Forecasts by Model Type 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global ModelOps Market: Model Type Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. ML Models
    • 6.2.2. Graph-Based Models
    • 6.2.3. Rule & Heuristic Models
    • 6.2.4. Linguistic Models
    • 6.2.5. Agent-Based Models
    • 6.2.6. Bring Your Own Models
    • 6.2.7. Other Model Types

Chapter 7. Global ModelOps Market Size & Forecasts by Application 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global ModelOps Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. Continuous Integration/Continuous Deployment
    • 7.2.2. Batch Scoring
    • 7.2.3. Governance, Risk and Compliance
    • 7.2.4. Parallelization & Distributed Computing
    • 7.2.5. Monitoring & Alerting
    • 7.2.6. Dashboard & Reporting
    • 7.2.7. Model Lifecycle Management
    • 7.2.8. Others

Chapter 8. Global ModelOps Market Size & Forecasts by Verticals 2022-2032

  • 8.1. Segment Dashboard
  • 8.2. Global ModelOps Market: Verticals Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 8.2.1. BFSI
    • 8.2.2. Retail & eCommerce
    • 8.2.3. Healthcare & Life sciences
    • 8.2.4. Telecommunications
    • 8.2.5. IT/ITeS
    • 8.2.6. Energy & Utilities
    • 8.2.7. Manufacturing
    • 8.2.8. Transportation & Logistics
    • 8.2.9. Government & Defense
    • 8.2.10. Other Verticals

Chapter 9. Global ModelOps Market Size & Forecasts by Region 2022-2032

  • 9.1. North America ModelOps Market
    • 9.1.1. U.S. ModelOps Market
      • 9.1.1.1. Offering breakdown size & forecasts, 2022-2032
      • 9.1.1.2. Model Type breakdown size & forecasts, 2022-2032
      • 9.1.1.3. Application breakdown size & forecasts, 2022-2032
      • 9.1.1.4. Verticals breakdown size & forecasts, 2022-2032
    • 9.1.2. Canada ModelOps Market
      • 9.1.2.1. Offering breakdown size & forecasts, 2022-2032
      • 9.1.2.2. Model Type breakdown size & forecasts, 2022-2032
      • 9.1.2.3. Application breakdown size & forecasts, 2022-2032
      • 9.1.2.4. Verticals breakdown size & forecasts, 2022-2032
  • 9.2. Europe ModelOps Market
    • 9.2.1. UK ModelOps Market
    • 9.2.2. Germany ModelOps Market
    • 9.2.3. France ModelOps Market
    • 9.2.4. Spain ModelOps Market
    • 9.2.5. Italy ModelOps Market
    • 9.2.6. Rest of Europe ModelOps Market
  • 9.3. Asia-Pacific ModelOps Market
    • 9.3.1. China ModelOps Market
    • 9.3.2. India ModelOps Market
    • 9.3.3. Japan ModelOps Market
    • 9.3.4. Australia ModelOps Market
    • 9.3.5. South Korea ModelOps Market
    • 9.3.6. Rest of Asia-Pacific ModelOps Market
  • 9.4. Latin America ModelOps Market
    • 9.4.1. Brazil ModelOps Market
    • 9.4.2. Mexico ModelOps Market
    • 9.4.3. Rest of Latin America ModelOps Market
  • 9.5. Middle East & Africa ModelOps Market
    • 9.5.1. Saudi Arabia ModelOps Market
    • 9.5.2. South Africa ModelOps Market
    • 9.5.3. Rest of Middle East & Africa ModelOps Market

Chapter 10. Competitive Intelligence

  • 10.1. Key Company SWOT Analysis
  • 10.2. Top Market Strategies
  • 10.3. Company Profiles
    • 10.3.1. IBM
      • 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. Market Strategies
    • 10.3.2. Google
    • 10.3.3. Oracle
    • 10.3.4. SAS Institute
    • 10.3.5. AWS
    • 10.3.6. Teradata
    • 10.3.7. Palantir
    • 10.3.8. Veritone
    • 10.3.9. Altair
    • 10.3.10. c3.ai

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