The global deep learning chipset market is primarily driven by significant improvements in the chip algorithms in the last few year, which has enormously increased their ability to consume and manage data efficiently. With increasing adoption of the Internet of Things (IoT) that promises to connect billions of new devices and pertaining data streams, it is very likely that much more digital data will be generated and consequently, the industry of machine learning and deep learning will flourish. Moreover, newly build algorithms are shifting the learning from one particular application to another application, making it easily possible for the machines to learn from very fewer examples. I
Since the entry barriers of this market are not incredibly high and heavily dependent on technologies that are not patented, startups have a strong chance to make a mark. In the near future, the shares in the global deep learning chipset are expected to head towards a fragmented scenario, although most of the prominent chip manufacturers are anticipated to hold onto their position of strength.
Request a PDF Research Brochure at https://www.transparencymarketresearch.com/sample/sample.php?flag=B&rep_id=35819
Market leaders are expected to frequently indulge into acquisition and collaboration activities with startups with niche concepts. For instance, in January 2016, Google Inc. agreed to collaborate with Movidius to enhance its deep learning portfolio on mobile devices, which was later acquired by Intel Corporation. Later in August the same year, Intel Corporation also acquired Nervana Systems in order to further solidify its position in developing the hardware chipsets platform.