세계의 ModelOps 시장 규모 조사 : 제공 제품별, 모델 유형별, 용도별, 산업별, 지역별 예측(2022-2032년)

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