{"product_id":"global-machine-learning-as-a-service-mlaas-market-is-by-application-marketing-and-advertisement-predictive-maintenance-automated-network-management-fraud-detection-and-risk-analytics-organization-size-small-and-medium-enterprises-large-enterpris","title":"Global Machine Learning as a Service (MLaaS) Market is by Application (Marketing and Advertisement, Predictive Maintenance, Automated Network Management, Fraud Detection and Risk Analytics), Organization Size (Small and Medium Enterprises, Large Enterpris","description":"\u003cp\u003eGlobal Machine Learning as a Service (MLaaS) Market is by Application (Marketing and Advertisement, Predictive Maintenance, Automated Network Management, Fraud Detection and Risk Analytics), Organization Size (Small and Medium Enterprises, Large Enterprises), End-User (IT and Telecom, Automotive, Healthcare, Aerospace and Defense, Retail, Government, BFSI), Regional Forecasts 2021-2027\u003c\/p\u003e\n\n\u003cp\u003eGlobal Machine Learning as a Service (MLaaS) Market is valued approximately at USD 1.60 billion in 2020 and is anticipated to grow with a healthy growth rate of more than 39.86% over the forecast period 2021-2027. Machine learning (ML) is a branch of artificial intelligence (AI) that involves a wide range of techniques for extracting meaningful models from raw data. It evolved from classical statistics and analysis. It takes skilled professionals to design these solutions since they are based on algorithms, model complexity, and computational complexity. The market growth is driven by the key factors such as growing adoption of Cloud-based Services, IoT and Automation. For instance, as per Statista, by the end of 2020, 79% of corporate respondents have said they were using Amazon Web Services (AWS) for public cloud usage. Hyperscalers, such as Amazon Web Services, Microsoft Azure, and Google Cloud, are among the most popular cloud computing platform providers worldwide. Also, as per the same source, In 2019, the worldwide revenue of the cloud infrastructure services industry was over 96 billion US dollars, with revenues from the preceding months including the fourth quarter of 2020 totaling 129 billion US dollars. Furthermore, the demand for MLaaS is expected to grow significantly over the forecast period, owing to the continuous growth of electronic sensors, linked devices, and equipment in the sector, which is supported by improvements in network connectivity technology. However, Privacy and Data Security Concerns, may impede market growth over the forecast period of 2021-2027.\u003c\/p\u003e\n\n\u003cp\u003eNorth America is dominating the market and will continue be one over the projected period owing to the various factors such as growing use of cloud-based solutions by small and medium-sized businesses. Asia-Pacific, on the other hand, would have the greatest CAGR throughout this time period. This is due to the region's growing use of machine learning technologies and continued expansion in the IT sector.\u003c\/p\u003e\n\n\u003cp\u003eMajor market player included in this report are:\u003cbr\u003e\nFair Isaac Corporation (FICO)\u003cbr\u003e\nMicrosoft Corporation\u003cbr\u003e\nHewlett Packard Enterprise Company\u003cbr\u003e\nYottamine Analytics LLC\u003cbr\u003e\nAmazon Web Services Inc.\u003cbr\u003e\nIflowsoft Solutions Inc.\u003cbr\u003e\nIBM Corporation\u003cbr\u003e\nSAS Institute Inc.\u003cbr\u003e\nGoogle LLC\u003cbr\u003e\nBigML Inc.\u003c\/p\u003e\n\n\u003cp\u003eThe objective of the study is to define market sizes of different segments \u0026amp; countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors \u0026amp; challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:\u003c\/p\u003e\n\n\u003cp\u003eBy Application:\u003cbr\u003e\nMarketing and Advertisement\u003cbr\u003e\nPredictive Maintenance\u003cbr\u003e\nAutomated Network Management\u003cbr\u003e\nFraud Detection and Risk Analytics\u003cbr\u003e\nOther Applications\u003cbr\u003e\nBy Organization Size:\u003cbr\u003e\nSmall and Medium Enterprises\u003cbr\u003e\nLarge Enterprises\u003cbr\u003e\nBy End User:\u003cbr\u003e\nIT and Telecom\u003cbr\u003e\nAutomotive\u003cbr\u003e\nHealthcare\u003cbr\u003e\nAerospace and Defense\u003cbr\u003e\nRetail\u003cbr\u003e\nGovernment\u003cbr\u003e\nBFSI\u003cbr\u003e\nOther End Users\u003cbr\u003e\nBy Region:\u003cbr\u003e\nNorth America\u003cbr\u003e\nU.S.\u003cbr\u003e\nCanada\u003cbr\u003e\nEurope\u003cbr\u003e\nUK\u003cbr\u003e\nGermany\u003cbr\u003e\nFrance\u003cbr\u003e\nSpain\u003cbr\u003e\nItaly\u003cbr\u003e\nROE\u003c\/p\u003e\n\n\u003cp\u003eAsia Pacific\u003cbr\u003e\nChina\u003cbr\u003e\nIndia\u003cbr\u003e\nJapan\u003cbr\u003e\nAustralia\u003cbr\u003e\nSouth Korea\u003cbr\u003e\nRoAPAC\u003cbr\u003e\nLatin America\u003cbr\u003e\nBrazil\u003cbr\u003e\nMexico\u003cbr\u003e\nRest of the World\u003c\/p\u003e\n\n\u003cp\u003eFurthermore, years considered for the study are as follows:\u003c\/p\u003e\n\n\u003cp\u003eHistorical year – 2018, 2019\u003cbr\u003e\nBase year – 2020\u003cbr\u003e\nForecast period – 2021 to 2027.\u003c\/p\u003e\n\n\u003cp\u003eTarget Audience of the Global Machine Learning as a Service (MLaaS) Market in Market Study:\u003c\/p\u003e\n\n\u003cp\u003eKey Consulting Companies \u0026amp; Advisors\u003cbr\u003e\nLarge, medium-sized, and small enterprises\u003cbr\u003e\nVenture capitalists\u003cbr\u003e\nValue-Added Resellers (VARs)\u003cbr\u003e\nThird-party knowledge providers\u003cbr\u003e\nInvestment bankers\u003cbr\u003e\nInvestors\u003c\/p\u003e\n\n\u003cp\u003eCompanies Mentioned\u003c\/p\u003e\n\n\u003cp\u003eFair Isaac Corporation (FICO)\u003cbr\u003e\nMicrosoft Corporation\u003cbr\u003e\nHewlett Packard Enterprise Company\u003cbr\u003e\nYottamine Analytics LLC\u003cbr\u003e\nAmazon Web Services Inc.\u003cbr\u003e\nIflowsoft Solutions Inc.\u003cbr\u003e\nIBM Corporation\u003cbr\u003e\nSAS Institute Inc.\u003cbr\u003e\nGoogle LLC\u003cbr\u003e\nBigML Inc.\u003c\/p\u003e","brand":"Marketing \u0026 Market Research","offers":[{"title":"October, 2021 \/ 200 Pages \/ MCW16258389","offer_id":47683013574962,"sku":null,"price":5940.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.hardmanwell.com\/products\/global-machine-learning-as-a-service-mlaas-market-is-by-application-marketing-and-advertisement-predictive-maintenance-automated-network-management-fraud-detection-and-risk-analytics-organization-size-small-and-medium-enterprises-large-enterpris","provider":"HARDMAN AND WELL MANAGEMENT CONSULTANCIES L.L.C","version":"1.0","type":"link"}