Machine Learning as a Service Market is expected to grow from $ 679.32 million in 2016 to reach $ 7620.18 million by 2023 with a CAGR of 41.2%

According to Publisher, the Global Machine Learning as a Service (MLaaS) market is expected to grow from $ 679.32 million in 2016 to reach $ 7620.18 million by 2023 with a CAGR of 41.2%.

Rising investments in the healthcare business, emerging multiple options in application areas, enhanced connectivity and enlargement in data from IoT platforms are the current trends in machine learning as a service market. Strong need to recognize consumer behaviour, acceptance of cloud-based technologies, and advancements in technologies are some of the major factors enhancing the market growth. However, the lack of trained consultants to organize machine learning services and government & compliance issues are restraining the growth of MLaaS solutions market.

This market research report administers a broad view of the Machine Learning as a Service market on a Global basis, presenting a forecast and statistics in terms of revenue during the forecast period. It covers an illustrative study with detailed segmentation, complete research and development history, latest news and press releases. Additionally, it demonstrates the future aspects and portrays a sketch of the key players involved in the Machine Learning as a Service market’s growth in terms of revenue.

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Some of the key players in the Machine Learning as a Service (MLaaS) market are identified as Microsoft, AT&T, FICO, Ersatz Labs, Inc., International Business Machine Corporation, Fuzzy.Ai, Amazon Web Services, Hewlett-Packard Enterprise Development Lp., Google, Inc., Yottamine Analytics, LLC, Sift Science, Inc., BigML, Inc. and iCarbonX.

Further the segmentation of the market is analyzed in the report. On the basis of organization, small and medium businesses segment is projected to adopt machine learning service. With the help of predictive analytics machine learning, algorithms not only give real-time data but also predict the future. Machine learning solutions are used by small and medium businesses for fine-tuning their supply chain by forecasting the demand of a product and by suggesting the timing and quantity of supplies essential for satisfying the customers' expectations.

North America is expected to capture significant growth during forecast period. High adoption rate of new technologies and huge demand for technologies like machine learning and big data are expected to drive the machine learning market in this region.

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Table of Contents

1 Executive Summary
2 Preface
3 Market Trend Analysis
4 Porters Five Force Analysis
5 Global Machine Learning as a Service Market, By Application
6 Global Machine Learning as a Service Market, By End User
7 Global Machine Learning as a Service Market, By Component
8 Global Machine Learning as a Service Market, By Organization Size
9 Global Machine Learning as a Service Market, By Geography
10 Key Developments
11 Company Profiling

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Posted by on Friday September 20 2019, 8:15 AM EST. All trademarks acknowledged. Filed under Semiconductors, Software & Services, Technology, Media, & Telecommunications. Comments and Trackbacks closed. Follow responses: RSS 2.0

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