AI 및 머신러닝 운영화 소프트웨어 시장 규모, 점유율, 동향 분석 보고서 : 배포별, 기능별, 용도별, 기업 규모별, 최종 용도별, 지역별, 부문별 예측(2025-2033년)

AI and Machine Learning Operationalization Software Market Summary

The global AI and machine learning operationalization software market size was estimated at USD 1,668.4 million in 2024, and is projected to reach USD 28,286.4 million by 2033, growing at a CAGR of 37.2% from 2025 to 2033. The AI and machine learning operationalization software market is growing rapidly, because it has become essential in enabling businesses to streamline their processes and fully capitalize on the potential of AI-powered solutions.

The AI and machine learning operationalization (MLOps) software market is gaining momentum as organizations seek to streamline the end-to-end lifecycle of machine learning models. MLOps tools automate key processes such as model deployment, performance monitoring, and compliance governance, enabling smoother transitions from development to production environments. This automation enhances reliability, scalability, and consistency, helping businesses accelerate time-to-value while reducing operational overhead. By simplifying complex workflows, MLOps solutions enable companies to fully harness AI and machine learning for high impact use cases such as fraud detection, predictive maintenance, and personalized customer experiences. These platforms support faster innovation cycles and greater operational efficiency, ultimately delivering measurable business outcomes and a competitive edge in data-driven decision-making.

The growing dependency on artificial intelligence (AI) and machine learning (ML) across diverse industries is fueling the demand for MLOps software, as organizations increasingly apply these technologies for automation, smarter decision-making, and process optimization. Managing the complexity of developing, deploying, and maintaining ML models requires streamlined workflows for which MLOps platforms are designed to deliver. By automating critical tasks like deployment, monitoring, and governance, MLOps solutions help reduce errors, enhance operational efficiency, and accelerate the delivery of AI-driven outcomes, making them essential tools for scaling AI initiatives effectively.

As regulatory oversight of AI and ML applications grows, there is an increasing focus on model governance and ability to ensure transparency and compliance. MLOps software addresses these concerns by offering strong tools for tracking, auditing, and interpreting model behavior, which not only meets regulatory requirements but also builds trust in AI systems. In addition, the fast adoption of cloud computing presents significant opportunities for MLOps vendors. Cloud-based platforms offer scalable, flexible, and cost-effective solutions, making them ideal for organizations looking to manage AI operations efficiently. This shift to the cloud is a key driver behind the expanding MLOps software market.

Global AI And Machine Learning Operationalization Software Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global AI and machine learning operationalization software market report based on deployment, functionality, application, enterprise size, and end use:

• Deployment Outlook (Revenue, USD Million, 2021 - 2033)
• On-premises
• Cloud based
• Functionality Outlook (Revenue, USD Million, 2021 - 2033)
• Model Deployment & Management
• Data Preprocessing & Feature Engineering
• Model Monitoring & Performance Evaluation
• Integration with Existing Systems
• Application Outlook (Revenue, USD Million, 2021 - 2033)
• Predictive analytics
• Fraud detection and risk management
• Customer experience management
• Natural language processing (NLP) and text analytics
• Others
• Enterprise Size Outlook (Revenue, USD Million, 2021 - 2033)
• Small & Medium size
• Large Enterprises
• End Use Outlook (Revenue, USD Million, 2021 - 2033)
• Banking, financial services, and insurance (BFSI)
• Healthcare and life sciences
• Retail and e-commerce
• IT and telecommunications
• Others
• Regional Outlook (Revenue, USD Million, 2021 - 2033)
• North America
  • U.S.
  • Canada
  • Europe
• Europe
  • UK
  • Germany
  • France
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
• Latin America
  • Brazil
• Middle East and Africa (MEA)
  • KSA
  • UAE
  • South Africa

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Market Definition
• 1.3. Research Methodology
  • 1.3.1. Information Procurement
  • 1.3.2. Information or Data Analysis
  • 1.3.3. Market Formulation & Data Visualization
  • 1.3.4. Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
• 2.3. Competitive Insights

Chapter 3. AI and Machine Learning Operationalization Software Market Variables, Trends, & Scope

• 3.1. Market Introduction/Lineage Outlook
• 3.2. Market Dynamics
  • 3.2.1. Market Driver Analysis
  • 3.2.2. Market Restraint Analysis
  • 3.2.3. Industry Challenge
• 3.3. AI and Machine Learning Operationalization Software Market Analysis Tools
  • 3.3.1. Porter's Analysis
  • 3.3.2. PESTEL Analysis

Chapter 4. AI and Machine Learning Operationalization Software Market: Deployment Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. AI and Machine Learning Operationalization Software market: Deployment Movement Analysis, USD Million, 2024 & 2033
• 4.3. On-premises
  • 4.3.1. On-premises AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 4.4. Cloud based
  • 4.4.1. Cloud based AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 5. AI and Machine Learning Operationalization Software Market: Functionality Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. AI and Machine Learning Operationalization Software market: Functionality Movement Analysis, USD Million, 2024 & 2033
• 5.3. Model Deployment & Management
  • 5.3.1. Model Deployment & Management AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 5.4. Data Preprocessing & Feature Engineering
  • 5.4.1. Data Preprocessing & Feature Engineering AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 5.5. Model Monitoring & Performance Evaluation
  • 5.5.1. Model Monitoring & Performance Evaluation AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 5.6. Integration with Existing Systems
  • 5.6.1. Integration with Existing Systems AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 6. AI and Machine Learning Operationalization Software Market: Application Estimates & Trend Analysis

• 6.1. Segment Dashboard
• 6.2. AI and Machine Learning Operationalization Software market: Application Movement Analysis, USD Million, 2024 & 2033
• 6.3. Predictive analytics
  • 6.3.1. Predictive analytics AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 6.4. Fraud detection and risk management
  • 6.4.1. Fraud detection and risk management AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 6.5. Customer experience management
  • 6.5.1. Customer experience management AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 6.6. Natural language processing (NLP) and text analytics
  • 6.6.1. Natural language processing (NLP) and text analytics AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 7. AI and Machine Learning Operationalization Software Market: Enterprise Size Estimates & Trend Analysis

• 7.1. Segment Dashboard
• 7.2. AI and Machine Learning Operationalization Software market: Enterprise Size Movement Analysis, USD Million, 2024 & 2033
• 7.3. Small & Medium size
  • 7.3.1. Small & Medium size AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 7.4. Large Enterprises
  • 7.4.1. Large Enterprises AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 8. AI and Machine Learning Operationalization Software Market: End Use Estimates & Trend Analysis

• 8.1. Segment Dashboard
• 8.2. AI and Machine Learning Operationalization Software market: End Use Movement Analysis, USD Million, 2024 & 2033
• 8.3. Banking, financial services, and insurance (BFSI)
  • 8.3.1. Banking, financial services, and insurance (BFSI) AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 8.4. Healthcare and life sciences
  • 8.4.1. Healthcare and life sciences AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 8.5. Retail and e-commerce
  • 8.5.1. Retail and e-commerce AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 8.6. IT and telecommunications
  • 8.6.1. IT and telecommunications AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 8.7. Others
  • 8.7.1. Others AI and Machine Learning Operationalization Software Market revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 9. AI and Machine Learning Operationalization Software Market: Regional Estimates & Trend Analysis

• 9.1. AI and Machine Learning Operationalization Software MarketShare, By Region, 2024 & 2033, USD Million
• 9.2. North America
  • 9.2.1. North America AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
  • 9.2.2. U.S.
    • 9.2.2.1. U.S. AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
  • 9.2.3. Canada
    • 9.2.3.1. Canada AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
  • 9.2.4. Europe
    • 9.2.4.1. Europe AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
• 9.3. Europe
  • 9.3.1. Europe AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
  • 9.3.2. UK
    • 9.3.2.1. UK AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
  • 9.3.3. Germany
    • 9.3.3.1. Germany AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
  • 9.3.4. France
    • 9.3.4.1. France AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
• 9.4. Asia Pacific
  • 9.4.1. Asia Pacific AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
  • 9.4.2. China
    • 9.4.2.1. China AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
  • 9.4.3. Japan
    • 9.4.3.1. Japan AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
  • 9.4.4. India
    • 9.4.4.1. India AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
  • 9.4.5. South Korea
    • 9.4.5.1. South Korea AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
  • 9.4.6. Australia
    • 9.4.6.1. Australia AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
• 9.5. Latin America
  • 9.5.1. Latin America AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
  • 9.5.2. Brazil
    • 9.5.2.1. Brazil AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
• 9.6. Middle East and Africa
  • 9.6.1. Middle East and Africa AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
  • 9.6.2. KSA
    • 9.6.2.1. KSA AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
  • 9.6.3. UAE
    • 9.6.3.1. UAE AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)
  • 9.6.4. South Africa
    • 9.6.4.1. South Africa AI and Machine Learning Operationalization Software Market estimates and Forecasts, 2021 - 2033 (USD MILLION)

Chapter 10. Competitive Landscape

• 10.1. Company Categorization
• 10.2. Company MarketPositioning
• 10.3. Participant's Overview
• 10.4. Financial Performance
• 10.5. Product Benchmarking
• 10.6. Company Heat Map Analysis
• 10.7. Strategy Mapping
• 10.8. Company Profiles/Listing
  • 10.8.1. Amazon Web Services, Inc.
    • 10.8.1.1. Participant's Overview
    • 10.8.1.2. Financial Performance
    • 10.8.1.3. Product Benchmarking
    • 10.8.1.4. Recent Developments
  • 10.8.2. Google LLC
    • 10.8.2.1. Participant's Overview
    • 10.8.2.2. Financial Performance
    • 10.8.2.3. Product Benchmarking
    • 10.8.2.4. Recent Developments
  • 10.8.3. IBM Corporation
    • 10.8.3.1. Participant's Overview
    • 10.8.3.2. Financial Performance
    • 10.8.3.3. Product Benchmarking
    • 10.8.3.4. Recent Developments
  • 10.8.4. Intel Corporation
    • 10.8.4.1. Participant's Overview
    • 10.8.4.2. Financial Performance
    • 10.8.4.3. Product Benchmarking
    • 10.8.4.4. Recent Developments
  • 10.8.5. Oracle
    • 10.8.5.1. Participant's Overview
    • 10.8.5.2. Financial Performance
    • 10.8.5.3. Product Benchmarking
    • 10.8.5.4. Recent Developments
  • 10.8.6. DataRobot, Inc.
    • 10.8.6.1. Participant's Overview
    • 10.8.6.2. Financial Performance
    • 10.8.6.3. Product Benchmarking
    • 10.8.6.4. Recent Developments
  • 10.8.7. Microsoft
    • 10.8.7.1. Participant's Overview
    • 10.8.7.2. Financial Performance
    • 10.8.7.3. Product Benchmarking
    • 10.8.7.4. Recent Developments
  • 10.8.8. NVIDIA Corporation
    • 10.8.8.1. Participant's Overview
    • 10.8.8.2. Financial Performance
    • 10.8.8.3. Product Benchmarking
    • 10.8.8.4. Recent Developments
  • 10.8.9. Databricks
    • 10.8.9.1. Participant's Overview
    • 10.8.9.2. Financial Performance
    • 10.8.9.3. Product Benchmarking
    • 10.8.9.4. Recent Developments
  • 10.8.10. SAS Institute Inc.
    • 10.8.10.1. Participant's Overview
    • 10.8.10.2. Financial Performance
    • 10.8.10.3. Product Benchmarking
    • 10.8.10.4. Recent Developments