Machine Learning as a Service (MLaaS) Market, Size, Share, Market Intelligence, Company Profiles, Market Trends, Strategy, Analysis, Forecast 2017-2022

INDORE, INDIA, September 26, 2018 /EINPresswire.com/ -- According to OMR analysis the global MLaaS is anticipated to grow with a CAGR of 42% during 2017-2022. The global MLaaS market is segmented on the basis of applications, deployment and verticals. The MLaaS is widely used in various industries such as IT and telecommunication, heathcare, government and utilities, energy, retail, manufacturing and education. The report provides detailed & insightful chapters which include market overview, key findings, strategic recommendations, market determinants, key company analysis, market insights, company profiling, market segmentation, geographical analysis, analyst insights and predictive analysis of the market.

Full report of global MLaaS market is available at: https://www.omrglobal.com/industry-reports/machine-learning-as-a-service-mlaas-market/

“Cloud storage has been widely adopted by different organizations for easy of operations and to stay competitive. It accounted for around 65% of data centre capacity (382 EB) in 2015. The data reflects the amount of cloud services usage which acts as a major motivator for MLaaS market. The benefits offered by cloud-based machine learning such as providing services without any concerns for data pre-processing, model evaluation and model training make it most suitable for various services.”

In future the connected devices will significantly influence the evolution of big data and expected to create demand for big data analytics and machine learning services. Massive amount of data needs to be analyzed and processed effectively, thus, providing high performance and stability. Big data is becoming more meaningful as well as contextually relevant for the machines to have a better idea of their functions through big data analysis. The devices and machines will become smarter and would be able to perform optimally. As a result, evolution of big data has been making the market growth significantly better. Moreover, demand of high prediction and decision-making capabilities in different industry verticals has been motivating the market as a significant acceptance of business intelligence tools has been recorded globally. Furthermore, advancements in technologies using IoT such as advanced data analytic tools for predictive analysis and other applications are driving the market.

The report covers:
Comprehensive research methodology of Global MLaaS Market
This report also includes detailed and extensive market overview with Analyst insights & key market trends.
Exhaustive Analysis of macro and micro factors influencing the market guided by key recommendations.
Analysis of regional regulations and other government policies impacting the Global Machine Learning as a Service Market.
Insights about market determinants which are stimulating the Global Machine Learning as a Service Market
Detailed and extensive market segments with regional distribution of forecasted revenues.
Extensive profiles and recent developments of market players.

For related reports: https://www.omrglobal.com/reports-category/cloud-and-big-data/

About Orion Market Research
Orion Market Research (OMR) is an Indian research company known for its crisp and concise reports. The company is equipped with an experienced team and young brigade of analysts. The company provides quality syndicated research reports, customized research reports, Company profiling, consulting and other research-based services. OMR provide global and regional market reports of various domains such as healthcare, energy, IT, chemicals, and automobiles. OMR provide a 360-degree view of the market with parametric analysis, key market insights, key findings, statistical forecasts, competitive landscape, extensive segmentation, key trends, strategic recommendations and detailed company profiles.

Anurag Tiwari
Orion Market Research Pvt. Ltd.
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Global Machine Learning as a Service (MLaaS) Market Research By OMR

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