Press release
Artificial Intelligence (AI) Chipsets Market Expected to See Rapid Revenue Growth with 40% CAGR during Forecast to 2032
Artificial Intelligence (AI) Chipsets Market
Furthermore, the market growth is boosted by the increasing demand for edge computing technology that enables data processing at the network's edge rather than in a centralized data center, thereby reducing latency and improving data processing efficiency. The growing popularity of Internet of Things (IoT) devices is also expected to drive market revenue growth.
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Segments Covered in the Report
The AI chipsets market can be segmented based on its components, applications, and end-use industries.
Component Outlook: The revenue generated by different components of the AI chipsets market between 2019 and 2032 is as follows:
Central Processing Unit (CPU)
Graphics Processing Unit (GPU)
Field Programmable Gate Arrays (FPGA)
Application-Specific Integrated Circuits (ASIC)
Others
Application Outlook: The revenue generated by different applications of the AI chipsets market between 2019 and 2032 is as follows:
Image recognition
Natural Language Processing (NLP)
Speech recognition
Autonomous vehicles
Robotics
Others
End-use Industry Outlook: The revenue generated by the AI chipsets market in various end-use industries between 2019 and 2032 is as follows:
Healthcare
Automotive
Consumer electronics
Retail
Finance
Others
These segments provide a comprehensive understanding of the AI chipsets market, enabling businesses to develop targeted marketing strategies and tailor their product offerings to specific customer needs.
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Strategic development:
The artificial intelligence (AI) chipsets market is constantly evolving, and companies in this sector are actively engaging in strategic development to stay ahead of the competition. Here are some key strategic developments in the AI chipsets market:
Partnerships and collaborations: Companies in the AI chipsets market are collaborating with technology partners to enhance their product offerings and reach a wider customer base. For instance, Intel has partnered with Baidu, a Chinese search engine company, to develop AI-based technologies for use in areas such as autonomous driving and voice recognition.
Research and development: Players in the AI chipsets market are investing heavily in research and development to stay ahead of the curve. They are developing new AI chipsets that are more powerful, energy-efficient, and capable of processing data faster. For instance, Nvidia recently launched its Ampere architecture-based A100 GPU that offers unparalleled performance and speed for AI applications.
Mergers and acquisitions: Companies in the AI chipsets market are engaging in mergers and acquisitions to expand their product portfolio and customer base. For instance, in 2019, Intel acquired Habana Labs, an Israeli-based AI chipmaker, to enhance its AI portfolio.
Product launches: Players in the AI chipsets market are constantly launching new products to cater to the evolving needs of customers. For instance, Qualcomm recently launched its Snapdragon 888 5G Mobile Platform that features an integrated AI engine, enabling faster and more efficient AI processing.
These strategic developments demonstrate the competitive nature of the AI chipsets market, with players constantly striving to innovate and enhance their product offerings to stay ahead of the competition.
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Competitive Landscape:
NVIDIA Corporation
Intel Corporation
Samsung Electronics Co. Ltd.
Qualcomm Technologies Inc.
MediaTek Inc.
Huawei Technologies Co., Ltd.
Xilinx Inc.
Advanced Micro Devices (AMD)
Broadcom Inc.
Texas Instruments Inc.
Micron Technology Inc.
ARM Holdings plc.
Apple Inc.
IBM Corporation
Baidu Inc.
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