The global machine
learning market is forecast to reach USD 35.67 Billion by 2026,
according to a new report by Reports and Data. The increasing trend towards
cloud computing, coupled with the growing technological advancements such as
BYOD services, the internet, and others, will contribute to the growth of the
market. Machine learning helps in analyzing large volumes of data and identify
specific trends and patterns that would not be apparent otherwise. For
instance, for an e-commerce website such as Amazon, it helps to understand the
purchase histories and browsing behaviors of its users to help cater to the
right opportunities, products, and reminders relevant to them. The results are
used to reveal the appropriate advertisements to them. The technology provides
the systems the ability to learn, make predictions, and improve the algorithms.
For example, the anti-virus software learns to filter new threats as they are
recognized. The algorithms can handle the data that are multi-dimensional and
multi-variety, even in dynamic or uncertain environments.
Further key findings from
the report suggest
- Among the applications, fraud detection & risk
analytics accounted for the largest market share of ~18% in the year 2018.
Fraud detection & risk analytics has been a significant concern in the
banking and commerce industry. The increased number of transactions owing
to a plethora of payment channels – smartphones, credit/debit cards, and
others. As a result, it is becoming difficult for businesses to
authenticate their transactions.
- Machines are much better at processing large datasets
than humans. They can detect and recognize thousands of patterns on a
user’s purchasing course. The fraud detection process using machine
learning starts with gathering and classifying the data. Then the model is
fed with training sets to predict the probability of fraud.
- The predictive maintenance application is forecasted
to witness the highest growth rate of 44.4% during the forecast period.
Manufacturing firms need corrective as well as preventive maintenance
practices in place. However, these practices are often inefficient and
expensive. Machine learning helps in the creation of highly efficient
predictive maintenance programs. These can minimize the chances of
unexpected failures, thereby reducing unnecessary preventive maintenance
projects.
To identify the key trends in
the industry, click on the link below:
https://www.reportsanddata.com/report-detail/machine-learning-market
https://www.reportsanddata.com/report-detail/machine-learning-market
- North America held the largest market share of ~29%
in the year 2018. The region has successfully adapted machine learning and
is investing highly in newer technologies like cloud computing, artificial
intelligence, and more. The massive amount of data generated is driving
the need for fraud detection & risk analysis technologies, and
security & surveillance. All these factors together will boost the
market in the region, allowing it to lead the market throughout the
forecast period.
- Key participants include IBM Corporation, Microsoft
Corporation, SAP SE, Dell Inc., SAS Institute Inc., Google, Inc., Amazon
Web Services Inc., Baidu, Inc., BigML, Inc., Intel Corporation,
RapidMiner, Inc., Hewlett Packard Enterprise (HPE), Angoss Software
Corporation, Alpine Data, Dataiku, Luminoso Technologies, Inc.,
TrademarkVision, Fractal Analytics Inc., TIBCO Software Inc., Teradata,
and Oracle Corporation, among others.
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