Global ModelOps Market Size study, by Offering, by Model Type, by Application, by Verticals and Regional Forecasts 2022-2032

Description

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

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