Deep Learning Chipset Market (Type - Graphics Processing Units, Central Processing Units, Application Specific Integrated Circuits, Field Programmable Gate Arrays, and Others; Compute Capacity - Low (<1TFlops) and High (>1TFlops); End Users - Consumer Electronics, Automotive, Industrial, Healthcare, Aerospace & Defense, and Others): Global Industry Analysis, Trends, Market Size and Forecasts to 2024

A recent report published by Infinium Global Research on deep learning chipset market provides in-depth analysis of segments and sub-segments in global as well as regional deep learning chipset market. The study also highlights the impact of drivers, restraints and macro indicators on the global and regional deep learning chipset market over the short term as well as long term. The report is a comprehensive presentation of trends, forecast and dollar values of global deep learning chipset market. According to report the global deep learning chipset market is projected to grow at a CAGR of X.X% over the forecast period of 2018-2024.

Market Insight

Machine learning chip is a multi-processor chip, that has the ability to learn, reason, and self-correct its algorithm without being clearly programmed.The deep learning chipsets includes CPUs, GPUs, FPGAs, ASICs, SoC Accelerators, and other chipsets. They are used in the wide range of applications such as robotics, healthcare, automotive, consumer electronics, and others owing to its enhanced efficiency and durability.

Increased adoption of cloud based technology and deep learning usage in big data analytics are the factors driving the growth of the deep learning chipset market. In addition, the Invention of a related computer chip, which is known as GPU. A single-chip processor creates lighting effects and transforms objects every time a 3D scene is redrawn or graphics processing unit is turning out to be very meaningful and effective when it is being applied to types of calculations required for neural nets. This, in turn, is fuelling the growth of the deep learning chipset market. However, low awareness of chipset besides CPU is likely to hamper the growth of the deep learning chipset market during the forecast period. Furthermore, Popularity of Internet of Things (IoT) and an increase in demand for automated devices are anticipated to provide lucrative growth opportunities for the key players in the deep learning chipset market. On the other hand, Organizations are utilizing deep learning neural networks to remove valuable perceptions from huge amounts of data for providing innovative products and improving customer experience thereby, increasing revenue opportunities.

Among the geographies, North America dominated the deep learning chipset owing to the increase in demand for semiconductor devices and automated devices market followed by the Asia-Pacific. However, the emerging economies of Japan, China, and India are expected to turn the Asia-Pacific into the leading region in terms of revenue. Moreover, the market for deep learning in Asia-Pacific regions is not only growing for electronics products such as smartphones, tablets, and PCs, but also medical and automotive products. China and India are anticipated to drive the global deep learning market owing to the High economic growth witnessed.

Segment Covered

The report on global deep learning chipset market covers segments such as type, compute capacity and end Users. On the basis of type the global deep learning chipset market is categorized into graphics processing units, central processing units, application specific integrated circuits, field programmable gate arrays, and others. On the basis of compute capacity the global deep learning chipset market is categorized into low (<1TFlops) and high (>1TFlops). On the basis of end users, the global deep learning chipset market is categorized into consumer electronics, automotive, industrial, healthcare, aerospace & defense and others.

Geographic Coverage

The countries covered in the North America region include the U.S., Canada, and Mexico; while Asia-Pacific includes China, Japan, India, South Korea, Malaysia, and among others. Moreover, Germany, U.K., France, Spain and Rest of Europe are included in the European region. The U.S. drives the growth in the North America region as it is the largest market in the region. The Asia-Pacific region offers a substantial potential for the market growth owing to rapid growth in markets such as India and China. The APAC region is projected to experience growth at a CAGR of x.x% over the period of 2018-2024.

Companies Profiled:

The report provides profiles of the companies in the global deep learning chipset market such as Google Inc., Qualcomm, IBM Corporation, CEVA Inc., Xilinx, Teradeep Inc., Advanced Micro Devices, Graphcore, NVIDIA Corporation and Microsoft Corporation.

 
Report Highlights:

The report provides deep insights on demand forecasts, market trends, and micro and macro indicators. In addition, this report provides insights into the factors that are driving and restraining the global deep learning chipset market. Moreover, IGR-Growth Matrix analysis given in the report brings an insight into the investment areas that existing or new market players can consider. The report provides insights into the market using analytical tools such as Porter's five forces analysis and DRO analysis of deep learning chipset market. Moreover, the study highlights current market trends and provides forecast from 2018-2024. We also have highlighted future trends in the deep learning chipset market that will impact the demand during the forecast period. Moreover, the competitive analysis given in each regional market brings an insight into the market share of the leading players. This report will help manufacturers, suppliers, and distributors of the deep learning chipset market to understand the present and future trends in this market and formulate their strategies accordingly.