Global Artificial Intelligence (AI) Chipsets Market Overview, Growth Challenges Survey & Forecast to 2026

Artificial Intelligence (AI) chipsets market is poised for robust growth on the back of increasing penetration of e-commerce platforms that generate enormous amounts of data. The need for high-speed processors has prevailed owing to a surge in vital user information and data. This has led to the requirement of AI chipsets across various industries. Rise in number of smartphone users have also stimulated AI chipsets demand.

From consumer electronics, BFSI, IT & Telecom, healthcare, media & advertising to retail, AI chipsets are playing a pivotal role in enhancing customer experience. In the BFSI sector, financial service companies are leveraging AI technology to reduce lending risks by improving fraud detection and profiling applicants.

They are focusing on renovating their IT infrastructure to get an advantage over competitors. Moreover, in a bid to achieve operational excellence, exceptional customer service, agility, and security, the BFSI industry is actively leveraging AI, creating lucrative growth opportunities for AI chipset manufacturers.

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Increasing demand for smarter robots, which include control of connected devices and virtual assistants, has significantly accelerated the demand for the AI-based operations. Robotic Process Automation with Artificial Intelligence is experiencing wide adoption in facial analysis system, IQ Bots and autonomous robots. Expansive application of these autonomous robots in various industries will foster Artificial Intelligence (AI) chipsets market.

In March 2020, UVD Robots, a Danish company developed robots with a powerful shot wavelength ultraviolet light, now being used in hospitals across China to disinfect patient rooms and operation theaters amid the COVID-19 outbreak.

List of the Key Companies that are Operating in the Artificial Intelligence (AI) Chipsets Market. They are as follows:

Advanced Micro Devices, Baidu Inc., Broadcom Limited, Google, IBM, Intel Corporation, MediaTek Inc., Micron Technology, Microsoft, NVIDIA Corporation, Qualcomm Technologies, Samsung Electronics, SK HYNIX INC., Softbank Group, Toshiba Corporation, Xilinx AI Chipsets start-ups: Adapteva Inc., AIBrain Inc, AImotive, BitMain Technologies Holding Company, Cambricon, Graphcore Ltd., Groq Inc., Gyrfalcon Technology Inc., Horizon Robotics, Huawei Service (Hong Kong) Co. Limited, Mythic Inc., ThinkForce

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Several big organizations are making huge investments in field programmable gate array (FPGA) innovations to offer better features in the AI platform, as it offers custom parallelism in real-time interface with an AI model and high bandwidth memory. In 2018, Intel developed FPGA technology for Microsoft Azure ML Hardware Accelerated Models, that offers promising AI inferencing performance to the customers.

Field Programmable Gate Array segment in Artificial Intelligence (AI) chipsets market is estimated to register a CAGR of nearly 25% through 2026 due to high-performance, low-power requirements and enhanced connectivity features.

Table Of Content:

Chapter 4.   Artificial Intelligence (AI) Chipsets Market , By Product

4.1.  Key trends in Artificial Intelligence (AI) Chipsets , by product

4.2.  GPU

4.2.1. Market estimates and forecast, 2016 - 2026

4.3.  ASIC

4.3.1. Market estimates and forecast, 2016 - 2026

4.4.  FPGA

4.4.1. Market estimates and forecast, 2016 - 2026

4.5.  CPU

4.5.1. Market estimates and forecast, 2016 - 2026

Chapter 5.   Artificial Intelligence (AI) Chipsets Market , By Technology

5.1.  Key trends in Artificial Intelligence (AI) Chipsets, by technology

5.2.  NLP

5.2.1. Market estimates and forecast, 2016 - 2026

5.3.  RPA

5.3.1. Market estimates and forecast, 2016 - 2026

5.4.  Computer vision

5.4.1. Market estimates and forecast, 2016 - 2026

5.5.  Network security

5.5.1. Market estimates and forecast, 2016 - 2026

5.6.  Others

5.6.1. Market estimates and forecast, 2016 - 2026

Chapter 6.   Artificial Intelligence (AI) Chipsets market, By Processing Type

6.1.  Key trends in Artificial Intelligence (AI) Chipsets, by processing type

6.2.  Edge

6.2.1. Market estimates and forecast, 2016 - 2026

6.3.  Cloud

6.3.1. Market estimates and forecast, 2016 - 2026

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