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The “Machine Learning: Global Markets to 2026” report has been added to ResearchAndMarkets.com’s offering.
Global workforce transformation in the wake of COVID-19, growing adoption of machine learning in the healthcare and education sectors, and a surge in cloud machine learning are some of the key factors driving the growth of the current machine learning market. However, network privacy and security concerns, lack of interoperability, and high initial cost are hindering the market growth.
In the report, the global market for machine learning has been segmented based on solution, organization size, deployment mode, system, application, end-use and geography. Based on solution, the machine learning market has been categorized into software and services.
Based on organization size, the machine learning market has been segmented into SMEs and large enterprises. Based on deployment mode the machine learning market has been segmented into on-premises and cloud. Based on end-use, the machine learning market has been segmented into BFSI, healthcare and life science, retail, IT and telecom, government and defense, manufacturing, energy and utilities, and others.
By geography, the machine learning market has been segmented into North America, Europe, Asia- Pacific and RoW. The North American region is currently the most dominant market for the global machine learning market. Heavy investment in the R&D of unified communication technology, presence of leading global companies, robust technology infrastructure and high adoption of advanced technologies (such as AI, IoT, …
Full story available on Benzinga.com
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