Chicago, IL -- (SBWIRE) -- 06/23/2017 -- The containers have been introduced over more than a decade ago. At present, it is becoming the hottest trend in data center virtualization. In early days, most of the software applications used to run on a separate operating system (OS), but now the new feature of containers enables all the components to run on the single OS. Container as a Service (CaaS) is the cloud provider's container support service, which provides users with container engines, orchestration, and the computational resources to run an application on a server. It is placed between IaaS and PaaS. The container provides isolation of application, micro-services, and their configuration from the underlying OS. The major software companies such as Amazon, Google, and IBM are already in the market and are investing in the growth of the technology.

The report on the global Machine learning as a service (MLaaS) market uses the top-down and bottom-up approaches to define, analyze, and describe the market trends for the next five years. The report also tracks the emerging applications, innovative technologies, and mergers & acquisitions. It also focuses on the growth drivers and restraints for the key market players during the forecast period.

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On the basis of geography, the market may be categorized into regions such as North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa. North America region is dominant in Machine Learning as a Service Market due to growing demand from large enterprises and startup companies in North America and followed by Western Europe during the period. Asia-Pacific region is expected to grow at a faster rate during the forecast period. Researchers project this regional market to retain its leadership throughout the forecast period on the ground of the escalating need for Internet of Things (IoT), swift integration of MLaaS with big data, and other advanced technologies, states the market report.

KEY PREMIUM INDUSTRY INSIGHTS

Major markets drivers for Machine learning as Service (MLaaS) market increased volume of data and diversity in the data available which need to be studied qualitatively. The other driver for Machine learning as service market was data storage became more affordable and cheaper.

The other major market driver for the Machine learning as Service market (MLaaS) is Recommendation systems which are used across a wide range of industries, most notably online shopping sites which help organization to get deeper insights about the customer behavior by helping them discover new and relevant offers thereby leading to stronger customer relationships and higher sales for the business.

The other major factor driving Machine learning as Service market (MLaaS) is some organizations need to make important decision during real time where machine learning models provide best predictions.

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