ICT RESEARCH REPORTS Machine-Learning-Market | Page 2

image labeling challenge, the accuracy of machine learning was 72% in 2010 and it reached to
96% in 2015. The ability of machines to process large volumes of data and to use the data for
prediction have made the machine learning a key tool in various applications such as BFSI,
healthcare etc.
Integration of machine learning in robotics has fueled growth of the machine learning
market
Rampant advancements in robotic industry has created various innovations in robots with the
integration of sensor technologies and materials. The advancements in machine learning have
increased the capabilities of robots to contribute in applications such as drones and autonomous
vehicles. Moreover, the increasing demand for advance robotic system in various verticals such
as automotive, electronics, food and beverages, healthcare etc has fueled the market growth.
According to International Federation of Robots, in 2016, around 294,000 units of industrial
robots were deployed across the globe. For example: In 2016, Fanuc, a Japan-based company,
announced development of a robot with deep reinforcement learning technique, which enables
the robot to train itself over a very short time duration.
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1098
Machine learning market is expected to witness rampant growth due to growing
healthcare sector in the near future.
Accuracy is one of the major concerns in the healthcare sector. Machine learning have the
capabilities to provide more accurate diagnosis and healthcare services, which in turn has
augmented demand for machine learning in healthcare sector. For instance, diagnosis of diabetic
eye disease requires frequent examination of pictures at the back of an eye by the specialist. The
features in the image helps to identify sensitivity of disease, which in turn, indicates fluid leakage
and bleeding. Moreover, in 2016, Google has developed a deep learning algorithm, which
analyze images and provides training to the system by using a data set of 128,000 images. Thus,
the system diagnose the disease with a level of accuracy similar to human ophthalmologists. On
similar lines, Google researchers are developing a deep learning algorithm for early diagnosis of
skin cancer and breast cancer.
Key Companies in the Global Machine Learning Market