Machine-Learning-as-a-Service (MLaaS) is a cloud-based platform that enables businesses to leverage the power of machine learning (ML) without having to build, deploy, and maintain the underlying infrastructure. With MLaaS, businesses can access pre-trained ML models, develop custom models, and use them in their applications. MLaaS is designed to reduce the complexity and cost of developing and deploying ML models, and make it easier for businesses to benefit from ML-based insights.
The global MLaaS market is expected to grow at a CAGR of over 45% during the forecast period of 2021-2026. The growing need to gather, store, and analyze data to gain actionable insights is driving the growth of the market. The increasing complexity of building and deploying ML models and the lack of skilled personnel are some of the major factors restraining the market’s growth. In addition, the high cost of MLaaS solutions is also hampering the market’s growth.
A detailed market research report on Global Machine-Learning-as-a-Service Market available at: https://www.themarketreports.com/report/global-machine-learning-as-a-service-market-research-report
This report aims to provide a comprehensive presentation of the global market for Machine-Learning-as-a-Service, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Machine-Learning-as-a-Service.
The Machine-Learning-as-a-Service market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Machine-Learning-as-a-Service market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
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