Market Research News Federation Board

A number of factors, such as the rising need for effective fraud detection solutions, surging demand for personalized product commendations, and growing importance of projecting lead scoring, are expected to drive the automated machine learning (AutoML) market in the foreseeable period (2020–2030). According to P&S Intelligence, the market generated revenue of $346.2 million in 2020, which is expected to reach $14,830.8 million by 2030, growing at a CAGR of 45.6% in the coming years.  Moreover, the market is witnessing a trend of rising fondness toward cloud-based AutoML platforms. Geographically, the North American AutoML market accounted for the largest share in 2020, and it is also expected to lead the global market during the forecast period. This is ascribed to the rising venture capital (VC) funding of AI organizations in research and development (R&D) activities to improve their offerings.  For example, U.S. companies raised $99.5 billion in 2018 through VC fund...

The automated machine learning (AutoML) market is expected to accelerate at a monumental CAGR of 43.7% during the forecast period (2020–2030), on account of the increasing importance of predictive lead scoring, spurring demand for efficient fraud detection solutions, and soaring need for personalized product recommendations. The market generated $269.6 million in 2019, and it is projected to touch $14,511.9 million by 2030. Moreover, the rising preference for cloud-based platforms, such as software-as-a-service (SaaS), will support the market growth in the coming years, as it allows users to access AutoML solutions Securely. Get the Sample Copy of this Report @ https://www.psmarketresearch.com/market-analysis/automated-machine-learning-market/report-sample Moreover, the surging importance of effective product assortment is also expected to accelerate the automated machine learning market in the coming years. Selecting the correct mix of products in a retail store is important for retai...