Reports Monitor Global Machine Learning Market Segmentation

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Machine Learning Market is expected to grow at a CAGR of 46.0% from 2017 to 2025, majorly due
to the technological advancement in machine learning.
Machine Learning Market Overview
Machine learning solutions facilitate machines to learn without being specifically programmed for it.
Machine learning algorithms can be used to perform tasks such as statistical arbitrage, image
recognition, medical diagnoses, speech recognition, classification, learning association, prediction and
information extraction. Some of the real-life applications of machine learning are security, fraud
detection, reconditions and financial trading.
Technological advancement in machine learning is one of the key drivers for machine learning market.
Modern machine learning solutions are more reliable than their older counterparts. Advanced
processors are able to handle a large amount of data in short period of time allowing machine
learning solutions to work smoothly.
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Big players in the industry are investing heavily in machine learning research and
development. Numbers of machine learning start-ups are also contributing to the growth of the
global machine learning market.
The U.S hold a significant share of global machine learning market in 2016 in terms of revenue
generated. Numbers of prominent machine learning players are based in the U.S. The U.S. market is
expected to grow at significant CAGR over the forecast period from 2017 to 2025. Asian machine
learning market is expected to overtake the North American machine learning market by the end of
the forecast period.
Multiple machine learning giants are using machine learning technologies to optimize their revenue
through multiple revenue sources. For example, multiple machine learning players are using machine
learning to optimize online advertising or product recommendations. Companies with the
large in-house database, such as search engine giants or E-commerce giants are at an advantage while
investing in machine learning research and development. They can apply advanced machine learning
tools to make efficient use of available in-house data to increase revenue from other sources and at
the same time can focus on new machine learning based product development.
Implementation challenges are the key restrain for global machine learning market. Machine learning
solutions are difficult to implement in real life and need to undergo extensive testing before
implementation in the real world situations.
Machine learning are transforming business processes in multiple industries. In manufacturing
industry machine learning can be used to increased production capacity or to reduce material costs by
providing relevant financial, operational and supply chain data. Manufacturing industry is expected to
hold significant market share of global machine learning market in terms of revenue generated in
2016. Health-care and BFSI industries also contributed to the significant amount of revenue in 2016.
Small and medium-sized enterprises are increasingly adapting to the changing market scenario by
using machine learning in business processes. Machine learning revenue from SME’s is expected to
grow at significant CAGR over the forecast period.