A recent report published by Infinium Global Research on machine learning as a service market provides an in-depth analysis of segments and sub-segments in the global as well as regional machine learning as a service market. The study also highlights the impact of drivers, restraints, and macro indicators on the global and regional machine learning as a service market over the short term as well as long term. The report is a comprehensive presentation of trends, forecast and dollar values of global machine learning as a service market. According to the report, global machine learning as a service market is projected to grow at a CAGR of 38.5% over the forecast period of 2018-2024.
Machine learning is the fastest growing fields in computer science.
It is an array of services that provide machine learning tools as part of cloud
computing services. It offers ready-made, slightly generic machine learning
tools that can be adapted by any organization as a part of their working needs.
Machine learning as a service is a composite that receives raw data from data
sources through its send training set service.
Growing automation and advancement in technology driving the
machine learning as a service market. Further need for cost-effective
predictive solutions among end-use industries, increasing concerns for security
and growing need for applications for support during an emergency are provides
a growing demand for the market. Additionally, the growing demand for understanding
customer behavior in terms of machine learning is also propelling the market.
However, a lack of skilled consultants to deploy machine learning services
hindering the growth of the market. Moreover, rapidly growing investments in
the healthcare industry, an increase in data from IoT platforms offer immense
opportunities for machine learning as a service market.
In terms of region, the global machine learning as a service
market is categorized into North America, Europe, Asia-Pacific, and the Rest of
the World. North America holds the largest market share and is estimated to
dominate the global market during the forecast period. This is mainly due to
the growing demand for machine learning as a service with a huge amount of data
and other innovative technologies along with the increasing demand for the
Internet of Things (IoT). Further, increasing awareness and sustainable growth
of the IT sector in the region provides growth to the market in this region.
Meanwhile, Asia-Pacific is expected to grow at a beneficial rate over the
forecast period. Emerging countries like India and China, are major players
increasing the demand for machine learning as a service market
The report on global machine learning as a service market covers
segments such as component, application, and end user. On the basis of
component, the sub-markets include software, and services. On the basis of application,
the sub-markets include marketing & advertising, fraud detection & risk
management, predictive analytics, augmented & virtual reality, security
& surveillance, and others. On the basis of end user, the sub-markets
include retail, manufacturing, BFSI, healthcare & life sciences, telecom,
and others.
The report provides profiles of the companies in the market such
as IBM, PREDICTRON LABS, H2O.ai., Google LLC, Crunchbase Inc., Microsoft,
Yottamine Analytics, LLC, Fair Isaac Corporation., BigML, Inc., and Amazon Web
Services, Inc.
The report provides deep insights into the demand forecasts,
market trends, and micro and macro indicators. In addition, this report
provides insights into the factors that are driving and restraining the growth
in this market. Moreover, The IGR-Growth Matrix analysis given in the report
brings an insight into the investment areas that existing or new market players
can consider. The report provides insights into the market using analytical
tools such as Porter's five forces analysis and DRO analysis of machine
learning as a service market. Moreover, the study highlights current market
trends and provides forecast from 2018-2024. We also have highlighted future
trends in the market that will affect the demand during the forecast period.
Moreover, the competitive analysis given in each regional market brings an
insight into the market share of the leading players.