查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1527328

全球 ModelOps 市場規模研究（按產品、模型類型、應用、垂直產業和區域預測 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個工作天內

價格
簡介目錄

2023 年，全球 ModelOps 市場估值為 54 億美元，預計在 2024-2032 年預測期內將以超過 40.28% 的健康成長率成長。 ModelOps（模型操作）是指在生產環境中部署、監控、管理和擴展機器學習 (ML) 和人工智慧 (AI) 模型的端到端流程。它涵蓋廣泛的活動，包括模型版本控制、治理、合規性和效能監控。 ModelOps 旨在透過確保模型在實際應用程式中高效部署並可靠運行，彌合資料科學和 IT 營運之間的差距。透過自動化和簡化模型的操作，ModelOps 可以幫助組織快速從 AI 和 ML 投資中獲取價值，長期維持模型準確性，並遵守監管要求。對於希望擴展人工智慧計劃並將模型無縫整合到業務流程中的企業來說，這項規則至關重要。

全球 ModelOps 市場由 ModelOps 與 DevOps 和 DataOps 框架的整合所驅動，代表了市場的重要驅動力。這種協同作用提高了營運效率，簡化了工作流程，並彌合了模型開發和部署之間的差距。此外，資料量激增也推動了對 ModelOps 的需求，需要能夠快速且準確地處理和解釋大量資料集的高級分析解決方案。然而，挑戰對模型的可解釋性和可解釋性構成了限制。組織經常努力理解和驗證複雜的模型，這可能會阻礙更廣泛的採用。

全球模型營運市場研究涵蓋的關鍵區域包括亞太地區、北美、歐洲、拉丁美洲和世界其他地區。 2023 年，北美將成為 ModelOps 市場的主導地區。這種領先地位的基礎是強大的技術基礎設施，包括雲端運算和分析平台，以及全球企業的集中。該地區的監管環境、熟練的勞動力和學術貢獻進一步鞏固了其市場地位。北美的組織利用 ModelOps 來增強模型部署、確保合規性並促進創新。此外，預計亞太地區的市場在 2024 年至 2032 年的預測期內將以最快的速度發展。

目錄

第 1 章：全球 ModelOps 市場執行摘要

  • 全球 ModelOps 市場規模及預測（2022-2032）
  • 區域概要
  • 分部摘要
    • 透過提供
    • 按型號類型
    • 按申請
    • 按垂直行業
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師推薦與結論

第 2 章：全球 ModelOps 市場定義與研究假設

  • 研究目的
  • 市場定義
  • 研究假設
    • 包容與排除
    • 限制
    • 供給側分析
      • 可用性
      • 基礎設施
      • 監管環境
      • 市場競爭
      • 經濟可行性（消費者的角度）
    • 需求面分析
      • 監理框架
      • 技術進步
      • 環境考慮
      • 消費者意識和接受度
  • 估算方法
  • 研究涵蓋的年份
  • 貨幣兌換率

第 3 章：全球 ModelOps 市場動態

  • 市場促進因素
    • ModelOps 與 DevOps 和 DataOps 的整合
    • 數據量增加
  • 市場挑戰
    • 模型的可解釋性和可解釋性
  • 市場機會
    • 自動化 CI/CD 管道的整合

第 4 章：全球 ModelOps 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
    • 波特五力模型的未來方法
    • 波特的 5 力影響分析
  • PESTEL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
  • 顛覆性趨勢
  • 產業專家視角
  • 分析師推薦與結論

第 5 章：全球 ModelOps 市場規模與預測：按產品分類 - 2022-2032

  • 細分儀表板
  • 全球 ModelOps 市場：2022 年和 2032 年提供收入趨勢分析
    • 平台
    • 部署方式
    • 服務

第 6 章：全球 ModelOps 市場規模與預測：按模型類型 - 2022-2032

  • 細分儀表板
  • 全球 ModelOps 市場：2022 年和 2032 年模型類型收入趨勢分析
    • 機器學習模型
    • 基於圖的模型
    • 規則和啟發式模型
    • 語言模型
    • 基於代理的模型
    • 自帶模型
    • 其他型號

第 7 章：全球 ModelOps 市場規模與預測：按應用分類 - 2022-2032

  • 細分儀表板
  • 全球 ModelOps 市場：2022 年和 2032 年應用收入趨勢分析
    • 持續整合/持續部署
    • 大量評分
    • 治理、風險與合規
    • 平行化與分散式計算
    • 監控與警報
    • 儀表板和報告
    • 模型生命週期管理
    • 其他

第 8 章：全球 ModelOps 市場規模與預測：按垂直產業 - 2022-2032

  • 細分儀表板
  • 全球 ModelOps 市場：2022 年和 2032 年垂直產業收入趨勢分析
    • BFSI
    • 零售與電子商務
    • 醫療保健與生命科學
    • 電信
    • 資訊科技/資訊科技服務
    • 能源與公用事業
    • 製造業
    • 運輸與物流
    • 政府與國防
    • 其他垂直領域

第 9 章：全球 ModelOps 市場規模與預測：按地區 - 2022-2032

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 亞太其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地區
  • 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
  • 頂級市場策略
  • 公司簡介
    • IBM
      • 關鍵訊息
      • 概述
      • 財務（視數據可用性而定）
      • 產品概要
      • 市場策略
    • Google
    • Oracle
    • SAS Institute
    • AWS
    • Teradata
    • Palantir
    • Veritone
    • Altair
    • c3.ai

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
簡介目錄

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