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MLOps Market Size, Share, and Future Trends Shaping AI Operations

Surge in digital and internet penetration around the world serves as a potential opportunity for the expansion of the global MLOps market.

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MLOps Market Size, Share, and Future Trends Shaping AI Operations

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  1. MLOps Market Overview The global MLOps market size was valued at $1.4 billion in 2022, and is projected to reach $37.4 billion by 2032, growing at a CAGR of 39.3% from 2023 to 2032. 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐚𝐦𝐩𝐥𝐞 Research 𝐑𝐞𝐩𝐨𝐫𝐭 MLOps (Machine Learning Operations) refers to the practice of automating and streamlining the deployment, monitoring, and maintenance of machine learning models in production environments. It combines principles from DevOps (Development and Operations) with machine learning to ensure that models are reliable, scalable, and continuously updated. MLOps aims to improve the collaboration between AI/ML teams and operations, enabling more efficient management of the machine learning lifecycle. The MLOps (Machine Learning Operations) market is experiencing rapid growth due to the increasing adoption of AI and machine learning in various industries.

  2. Covid-19 Impact • Accelerated AI Adoption: The pandemic spurred rapid AI/ML adoption, increasing demand for MLOps solutions to manage and deploy models efficiently. • Remote Operations: With a shift to remote work, enterprises focused on cloud-based MLOps platforms for better collaboration and model deployment. • Increased Automation: The need for automation surged, pushing businesses to invest in MLOps for continuous machine learning model updates and management. • Supply Chain Disruptions: Industries with disrupted supply chains used MLOps to optimize forecasting, demand management, and risk mitigation through predictive models. • Healthcare & E-commerce Boom: MLOps adoption grew significantly in healthcare (for COVID-19 research) and e-commerce (to manage increased demand), fueling market growth. • Budget Constraints: Despite rising demand, some sectors faced budget constraints, delaying MLOps adoption or expansion.

  3. MLOps MLOps Market Segments • By Organization Size • Large Enterprises • Small and Medium-sized Enterprises By Industry Vertical • BFSI • Healthcare • IT & Telecom • Manufacturing • Government and Public Sector • Retail & E-commerce • Others • By Deployment Mode • On-premise • Cloud • By Component • Platform • Service

  4. MLOpsMarket Regional Analysis • North America  (U.S., Canada, Mexico) • Europe  (France, Germany, Italy, Spain, UK, Russia, Rest of Europe) • Asia-Pacific  (China, Japan, India, South Korea, Australia, Thailand, Malaysia, Indonesia, Rest of Asia-Pacific) • LAMEA  (Brazil, South Africa, Saudi Arabia, UAE, Argentina, Rest of LAMEA)

  5. Key Players • Akira AI, • Amazon Web Services, Inc., • Cloudera, Inc., • DataRobot, Inc., • Google LLC, • IBM Corporation, • Databricks, Inc., • GAVS Technologies, • Microsoft Corporation, • Alteryx.

  6. Contact Us David Correa 1209 Orange Street Corporation Trust Center Wilmington New Castle Delaware 19801 USA Int'l: +1-503-894-6022 Toll Free: +1-800-792-5285 Fax: +1-800-792-5285 help@alliedmarketresearch.com

  7. Thank You​​ ​​

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