Sat. Sep 21st, 2019

AI Chipset Market Expected a High Growth in Future by 2019 | Top Key Vendors Studied like Nvidia, Intel, Xilinx, Samsung Electronics, Qualcomm Technologies, IBM, Google, Microsoft, Amazon Web Services (AWS), and AMD

Artificial intelligence (AI) is making its way into almost every area of consumer electronics. It is expanding its applications from smartphones to the automobile industry. This expansion is leading to numerous opportunities to semiconductor industries. The need for processing rapidly growing volume of data is the key factor impacting the growth of the AI chipset market. The increasing social media and E-commerce penetration are resulting in an increase of the volume of data.

The global AI Chipset market was million US$ 5.19 Billion in 2017 and is expected to million US$ +59.26 Billion by the end of 2025, growing at a CAGR of +35.5% between 2019 and 2025.

The report on the global market studies have been evaluated with the help of our brilliant methodologies and the insights of the global market have been formulated in a concise manner. Report Consultant has put forth the minor threads that connects the industry verticals so that we gain an in-depth perspective of the factors that are considered by the analysts as edge cutting attributes affecting the market growth.

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Top Key Players of the AI Chipset Market:

Nvidia, Intel, Xilinx, Samsung Electronics, Micron Technology, Qualcomm Technologies, IBM, Google, Microsoft, Amazon Web Services (AWS), AMD, General Vision, Graphcore, Mellanox Technologies, Huawei Technologies, Fujitsu, Wave Computing, Mythic, Adapteva, Koniku, Tenstorrent

The competitive landscape of the AI Chipset Market has been scrutinized carefully as it forms a major factor contributing to the revenue generation. The key players such as Asia Pacific (APAC), Europe, North America, Middle East & Africa (MEA), and Latin America form the key global regions of which, the region showcasing as the one generating highest market share and the one which is the fastest growing is also described in detail. It serves as a document providing the necessary insights to vendors, therefore enabling them to make data-driven decisions and avoid business losses.

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By the product type, the market is primarily split into

  • Machine Learning
  • Natural Language Processing
  • Context-Aware Computing
  • Computer Vision

By the end users/application, this report covers the following segments

  • Healthcare
  • Manufacturing
  • Automotive
  • Others

Different market assessment techniques such as, AI Chipset Market are studied to audit the market. The report has been highlighted on the basis of historical data, current statistics, and future predictions. Along with this, the financial overview and recent developments are explained effectively to give better insights for the growth of the businesses. Drivers and restraints are major pillars, which can help to understand the ups and downs of the market. The profiling of the leading key players throws light on competition across the world. The research report further makes the use of graphical representations, such as graph, charts, tables to forecast the facts and data of the market.

In this study, the years considered to estimate the size of AI Chipset Market are as follows:

History Year: 2013-2018

Base Year: 2017

Estimated Year: 2018

Forecast Year 2018 to 2025

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Table of Content:

Global AI Chipset Market Research Report 2019

Chapter 1. Market Overview of Global AI Chipset Market

Chapter 2. Competition Analysis by Players

Chapter 3. Company (Top Players) Profiles

Chapter 4. Market Size by Type and Application

Chapter 5. US Market Status and Outlook

Chapter 6. EU Development Market Status and Outlook

Chapter 7. Japan AI Chipset Market Development Status and Outlook

Chapter 8. China Market Status and Outlook

Chapter 9. India Market Status and Outlook

Chapter 10. Southeast Asia Market Status and Outlook

Chapter 11. Market Forecast by Region, Type and Application

Chapter 12. AI Chipset Market Dynamics

Chapter 13. Market Effect Factor Analysis

Chapter 14. Research Finding/ Conclusion

Chapter 15. Appendix

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