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Machine Learning Operations Market SWOT Analysis, Industry Revenue, Industry Share And Forecast Till 2033

Machine Learning Operations Market

Machine Learning Operations Market

The Business Research Company has released its latest global market reports, covering insights for 2024 and offering projections up to 2033.

The Business Research Company presents an extensive market research report on the Machine Learning Operations Global Market Report 2024, furnishing businesses with a competitive edge through a detailed examination of the market structure, encompassing estimates for various segments and sub-segments.

Furthermore, the report highlights on emerging trends, significant drivers, challenges, and opportunities, providing all necessary data for thriving in the industry. This report market research offers a comprehensive perspective, including an in-depth analysis of the present and future scenarios within the industry.

Market Sizing:
The machine learning operations market size has grown exponentially in recent years. It will grow from $1.56 billion in 2023 to $2.16 billion in 2024 at a compound annual growth rate (CAGR) of 38.4%. The growth in the historic period can be attributed to increasing complexity of ml models, rapid evolution of edge computing, increasing adoption of federated learning, ontinuous integration of devops and mlops, surge in automl adoption.

The machine learning operations market size is expected to see exponential growth in the next few years. It will grow to $7.85 billion in 2028 at a compound annual growth rate (CAGR) of 38.1%. The growth in the forecast period can be attributed to rise of cloud computing, increased adoption of machine learning in industries, development of model deployment technologies, adoption of agile development practices, increased complexity of machine learning models. Major trends in the forecast period include augmented analytics integration, democratization of machine learning, exponential growth in edge ai applications, automated hyperparameter tuning, enhanced security in mlops pipelines.

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Key Market Players:
Major companies operating in the machine learning operations market report are Amazon.com Inc., Alphabet Inc., Microsoft Corporation, International Business Machines Corporation, Hewlett Packard Enterprise, Statistical Analysis System (SAS ), Databricks Inc., Cloudera Inc., Alteryx Inc., Comet, GAVS Technologies, DataRobot Inc., Veritone, Dataiku, Parallel LLC , Neptune Labs, SparkCognition, Weights & Biases, Kensho Technologies Inc., Akira.Al, Iguazio, Domino Data Lab, Symphony Solutions, Valohai, Blaize, Neptune.ai, H2O.ai, Paperspace, OctoML

Market Drivers:
The rising demand for self-driving cars is expected to propel the growth of the machine-learning operations market going forward. Self-driving cars are automobiles equipped with advanced sensors, cameras, radar, lidar, and artificial intelligence (AI) systems that enable them to navigate, operate, and make decisions on the road without direct human intervention. Machine learning operations (MLOps) in self-driving cars involve the continuous integration, deployment, and management of machine learning models within the vehicles, enabling them to adapt and improve their driving capabilities based on real-time data from sensors and diverse driving scenarios. For instance, in December 2022, according to a report published by the Insurance Institute for Highway Safety, a US-based non-profit organization, it is projected that there will be an estimated 3.5 million autonomous vehicles on American roads by 2025, with expectations for this number to increase to 4.5 million by the year 2030. Therefore, the rising demand for self-driving cars is driving the growth of the machine-learning operations market.

Learn More About The Market Report -
https://www.thebusinessresearchcompany.com/report/machine-learning-operations-global-market-report

The machine learning operations market covered in this report is segmented -
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

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