Report Description
A recent market
intelligence report that is published by Data Insights Partner on the global Machine
Learning Infrastructure as a Service Market makes an offering of in-depth
analysis of segments and sub-segments in the regional and international Machine
Learning Infrastructure as a Service Market. The research also emphasizes on
the impact of restraints, drivers, and macro indicators on the regional and global
Machine Learning Infrastructure as a Service Market over the short as well as
long period of time. A detailed presentation of forecast, trends, and dollar
values of global Machine Learning Infrastructure as a Service Market is offered.
In accordance with the report, the global Machine Learning Infrastructure as a Service
Market is projected to expand at a CAGR of 35.4 % over the period of forecast.
Market Insight, Drivers, Restraints&
Opportunity of the Market:
Machine Learning
us a technology wherein the computers are able to learn and change their
analytical functionalities, when confronted with new set of data, without being
explicitly programmed.
With an increase
in adoption by many organizations for cloud-based technologies, this market is
estimated to grow during the forecast period. Also, many organizations have a
strong need to understand customer behavior. With there has been a rising
increase in investment specially in healthcare industry and emerging options in
other applications areas. With a rapid advancement and innovation in technology
and improved connectivity and increase in data from IoT platforms, Machine
Learning Infrastructure as a Service market will grow significantly.
However, the
major factor that hampers the growth of Machine Learning Infrastructure as a
Service Market is the government and compliance issues faced by organizations
of various nations. Also, there is a lack of skilled professionals to deploy
services of machine learning. Many solution providers are investing in research
and development, in order to strengthen their position in the market. For e.g.
: Affectiva launched its emotion analytics technology with the largest data
repository of over 2 million face videos, thereby enabling its clients to
achieve highest accuracy with unmatchable insights. Many other companies are
also making significant advancements in field of face recognition, gesture
recognition, neuron analytics and cognitive computing. These developments are expected
to fuel the growth of the market in the forecast period.
North America is
expected to contribute the largest market share and will continue to grow at
the highest rate. This region has been extremely responsive towards adopting
the latest technology such as integration with cloud, Big Data with Machine
Learning services etc. Also it deploys this service into many applications and
domains.
Segment Covered:
This market
intelligence report on the global Machine Learning Infrastructure as a Service Market
encompasses market segments based on product type, application and country/regions.
In terms of type, the global Machine Learning
Infrastructure as a Service Market
is segregated into
§ Disaster Recovery as a Service (DRaas)
§ Compute as a Service (Caas)
§ Data Center as a Service (DCaas)
§ Desktop as a Service (DaaS)
§ Storage as a Service (STaaS)
By application, the global Machine Learning
Infrastructure as a Service Market
is also classified into,
§ Retail
§ Logistics
§ Telecommunications
§ Others
By country/region, the global Machine Learning
Infrastructure as a Service Market
has been divided into
§ North America (the U.S., Canada),
§ Latin America (Brazil, Mexico, Argentina and other
countries),
§ Europe (Germany, France, the U.K., Spain, Italy, Russia,
and other countries),
§ Asia Pacific (India, Japan, China, Australia and New
Zealand and other countries),
§ Middle East and Africa (GCC, South Africa, Israel and
Other countries).
Profiling of Market
Players:
This business
intelligence report offers profiling of reputed companies that are operating in
the market. Companies such as
§ Amazon Web Services (AWS)
§ Microsoft
§ Google
§ Valohai
§ PyTorch
§ VMware Inc. and many more
Others players have
been profiled into detail so as to offer a glimpse of the market leaders.
Moreover, parameters such as Machine Learning Infrastructure as a Service related investment & spending and developments by major
players of the market are tracked in this global report.
Report Highlights:
In-depth
analysis of the micro and macro indicators, market trends, and forecasts of
demand is offered by this business intelligence report. Furthermore, the report
offers a vivid picture of the factors that are steering and restraining the
growth of this market across all geographical segments. In addition to that, Growth
Matrix analysis is also provided in the report so as to share insight of the
investment areas that new or existing market players can take into consideration.
Various analytical tools such as DRO analysis, Porter's five forces analysis
has been used in this report to present a clear picture of the market. The
study focuses on the present market trends and provides market forecast from
the year 2020-2028. Emerging trends that would shape the market demand in the
years to come have been highlighted in this report. A competitive analysis in
each of the geographical segments gives an insight into market share of the
global players.
Salient Features:
Ø
This study offers
comprehensive yet detailed analysis of the Machine Learning Infrastructure as a Service Market, size of the market (US$ Mn), and Compound Annual Growth
Rate (CAGR (%)) for the period of forecast: 2020 – 2028, taking into account
2019 as the base year
Ø
It explains upcoming
revenue opportunities across various market segments and attractive matrix of
investment proposition for the said market
Ø
This market
intelligence report also offers pivotal insights about various market opportunities,
restraints, drivers, launch of new products, competitive market strategies of
leading market players, emerging market trends, and regional outlook
Ø
Profiling of
key market players in the world Machine Learning
Infrastructure as a Service Market
is done by taking into account various parameters
such as company strategies, distribution strategies, product portfolio, financial
performance, key developments, geographical presence, and company overview
Ø
Leading
market players covered this report comprise names such as Amazon, Microsoft,
Google, Volohai, PyTorch, VMware Inc. and many more.
Ø
The data of
this report would allow management authorities and marketers of companies alike
to take informed decision when it comes to launch of products, government
initiatives, marketing tactics and expansion, and technical up gradation
Ø
The world
market for Machine Learning
Infrastructure as a Service Market caters to the needs of various stakeholders pertaining to this
industry, namely suppliers, manufacturers, investors, and distributors for Machine Learning Infrastructure as a Service Market. The research also caters to the rising needs of consulting
and research firms, financial analysts, and new market entrants
Ø
Research
methodologies that have been adopted for the purpose of this study have been
clearly elaborated so as to facilitate better understanding of the reports
Ø
Reports have
been made based on the guidelines as mandated by General Data Protection
Regulation
Ø
Ample number
of examples and case studies have been taken into consideration before coming
to a conclusion
Reasons to buy:
v
Identify
opportunities and plan strategies by having a strong understanding of the
investment opportunities in the Machine Learning Infrastructure as a Service Market
v
Identification
of key factors driving investment opportunities in the Machine Learning
Infrastructure as a Service Market
v
Facilitate
decision-making based on strong historic and forecast data
v
Position
yourself to gain the maximum advantage of the industry’s growth potential
v
Develop
strategies based on the latest regulatory events
v
Identify key
partners and business development avenues
v
Respond to your
competitors’ business structure, strategy and prospects
v
Identify key
strengths and weaknesses of important market participants