Global Machine Learning Operations Market Report
Information Technology

Global Machine Learning Operations Market Forecast 2024-2033: Estimated Market Size And Growth Rate

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What is the Expected Growth Rate of the Machine Learning Operations Market from 2024 to 2033?

The machine learning operations market is projected to grow from $1.56 billion in 2023 to $2.16 billion in 2024, at a CAGR of 38.4%. This growth is due to the increasing complexity of ML models, the evolution of edge computing, the adoption of federated learning, and the integration of DevOps and MLOps.

The machine learning operations market is projected to grow to $7.85 billion by 2028, at a CAGR of 38.1%. The growth is driven by the rise of cloud computing, increased ML adoption across industries, advancements in model deployment, and agile development practices. Trends include augmented analytics, democratization of ML, rapid growth in edge AI, automated hyperparameter tuning, and enhanced security in MLOps pipelines.

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What Key Factors Are Fueling the Growth of the Machine Learning Operations Market?

The demand for self-driving cars is expected to propel the machine-learning operations market. These vehicles rely on MLOps to continuously integrate and manage models that adapt based on real-time data. The Insurance Institute for Highway Safety projects 3.5 million autonomous vehicles in the U.S. by 2025, growing to 4.5 million by 2030. Consequently, rising interest in self-driving cars is fueling machine-learning operations market growth.

What Are the Major Segments of the Machine Learning Operations Market?

1) By Deployment Type: On-premise, Cloud, Other Type Of Deployment

2) By Organization Size: Large Enterprises, Small and Medium-sized Enterprises

3) By Industry Vertical: BFSI (Banking, Financial Services, and Insurance), Manufacturing, IT and Telecom, Retail and E-commerce, Energy and Utility, Healthcare, Media and Entertainment, Other Industry Verticals

What New Trends Are Transforming the Machine Learning Operations Market?

Companies in the machine learning operations market are developing innovative solutions, such as managed machine learning platforms, to stay competitive. A managed platform helps organizations build, deploy, and manage machine learning models without worrying about infrastructure complexities. In May 2021, Google launched Vertex AI, a managed machine learning platform that simplifies AI model deployment and maintenance. It integrates various Google Cloud services into a unified interface and includes MLOps features for model experimentation, feature management, and deployment, making it accessible to data scientists of all experience levels.

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Which Regions Are Driving Growth in the Machine Learning Operations Market?

North America was the largest region in the machine learning operations market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning operations market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The Machine Learning Operations Global Market Report 2024 offers a comprehensive overview of the audio equipment market, covering historical data from 2010 to 2021 and providing a ten-year forecast from 2023 to 2032. This report examines the size of the machine learning operations market, its market share, and analyzes key competitors along with their market positions.

The Table Of Content For The Machine Learning Operations Market Include

1. Machine Learning Operations Market Executive Summary

2. Machine Learning Operations Market Segments

3. Machine Learning Operations Market Size And Template Market Growth Rate

4. Key Machine Learning Operations Market Trends

5. Major Machine Learning Operations Market Drivers

……

25. Key Mergers And Acquisitions In The Machine Learning Operations Market

26. Top Machine Learning Operations Companies

27. Machine Learning Operations Market Opportunities And Strategies

28. Machine Learning Operations Market, Conclusions And Recommendations

29. Appendix

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