Top MLOps Companies

MLOps Market size was valued at USD 1.55 Billion in 2023 and is poised to grow from USD 2.19 Billion in 2024 to USD 34.16 Billion by 2032, growing at a CAGR of 41% during the forecast period (2025-2032).

Key players in the highly competitive MLOps market are Microsoft, Google, IBM, Amazon Web Services (AWS), and DataRobot. They are full-fledged platforms to develop, deploy, and manage machine learning models. More specialized solutions started coming for startups and specialty companies in areas such as automation, model monitoring, and healthcare. Strategic alliances, acquisitions, and continuous innovation shape the competitive landscape of such a highly dynamic industry.  'IBM (US)', 'Microsoft (US)', 'Google (US)', 'AWS (US)', 'HE (US)', 'GAVS Technologies (US)', 'DataRobot (US)', 'Cloudera (US)', 'Altery (US)', 'Domino Data Lab (US)', 'Valohai (US)', 'H20.ai (US)', 'MLflow (Netherlands)', 'Neptune. ai (Europe)', 'Comet (US)', 'SparkCognition (US)', 'Hopsworks (Europe)', 'Datatron (US)', 'Weights & Biases (US)', 'Katonic.ai (Australia)'

Integrating MLOps in Healthcare: AI/ML is gradually turning out to be the backbench support for this industry, be it image analysis in healthcare, customization of treatment, or predictive modeling. MLOps solutions are increasingly utilized to speed up the construction and deployment of models while remaining scalable and meeting healthcare industry standards. The increasing need for cutting-edge healthcare technology and better patient outcomes is driving the use of MLOps platforms, which enable better decision-making and effective healthcare delivery. 

Since North America had many developed economies and research institutes and some top Al firms, the region held the dominant position in 2024. North America contributed over 41% of revenue in the global market in the year 2024. Its growth prospect will be larger as its investment to develop cutting-edge technology is witnessed for making a customer-friendly better corporate process. It has also significantly invested in Al-related technology in the last couple of years and developed great R&D skills with Al. They also came up with legislation to make further progress in the industry. For instance, an open-source startup called Allegro AI in December 2022 stated that it was a historic growth year for the company, breaking new highs in user base, revenues, and partnerships.