Advancements in Algorithms offer Lucrative Growth Opportunities to Global Deep Learning Chipset Market

Presence of a handful of companies has rendered the global deep learning chipset market consolidated. A recent study has identified INTEL Corporation and NVIDIA Corporation were ahead of the curve in 2016. Besides these, Qualcomm Incorporated, Google Inc., Xilinx, IBM Corporation, among others are some of the most prominent names in the global deep learning chipset market. The report is titled “Deep Learning Chipset Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2017 – 2025,” and is recently added to MarketResearchReports.biz. It offers a comprehensive overview of the global deep learning chipset market, presenting insights into growth drivers and key restraints. The report is aimed at enabling stakeholders have a holistic idea on the prevailing trends in the market.

Despite consolidation, the market does not maintain a high barrier to entry. Startups therefore have strong chance to make a market in the global deep learning chipset market. Driven by the prevailing trends, the market, as per the report, is heading towards a fragmented scenario. Never mind this, prominent chipset manufacturers will continue holding a position of strength in the deep learning chipset market through the forecast period. Experts believe that they are likely to indulge in strategic collaborations, especially with startups specializing in niche concepts. Such strategies adopted to forge growth will bode well for the overall deep learning chipset market in the coming years.

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In the coming years, the market will gain impetus from recent improvements in chip algorithms, which has greatly enhanced the ability to manage and control data. Furthermore, the rising uptake of the Internet of Things, which promises to connect billions to advanced devices, will lead to the generation of digital data in huge volume. This will in turn offer the deep learning chipset market significant opportunities to flourish. Spurred by this, and several other factors the market will exhibit strong growth in the coming years.

Besides analyzing growth opportunities, the report also segments the global deep learning chipset market based on several parameters. For instance, the market has been segmented into central processing units, application specific integrated circuits, field programmable gate arrays, graphic processing units, and others in terms of type. Furthermore, on the basis of compute capacity the global deep learning chipset market can be bifurcated into high (greater than 1 TFlops) and low (less than 1 TFlops). Based on end user, consumer electronics, automotive, industrial, healthcare, defense and aerospace, and others constitute the key market segments.

Regionally, the global deep learning chipset market can be segmented into North America, South America, Europe, Asia Pacific, and the Middle East and Africa. Among these regions, North America is expected to record significantly high demand for deep learning chipsets. Asia Pacific is also expected to emerge as a lucrative market for deep learning chipsets in the coming years.

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