Artificial Intelligence (AI) Chipsets Market Size, Share, Growth Analysis, By Hardware(Processor (GPU, FPGA, CPU, ASIC, DSP, MCU), Memory, Network), Deployment (Edge Devices, Cloud), Technology(ML, NLP, Computer Vision, Context Aware Computing, Predictive Analysis), Function, End User, and Region - Industry Forecast 2024-2031

Global Artificial Intelligence (AI) Chipsets Market size was valued at USD 15.36 Billion in 2022 and is poised to grow from USD 21.05 Billion in 2023 to USD 262.78 Billion by 2031, growing at a CAGR of 37.1% during the forecast period (2024-2031).

The global market is experiencing exponential growth, driven by the increasing integration of artificial intelligence across various sectors such as automotive, healthcare, consumer electronics, and industrial automation. Leading players dominate the landscape, leveraging their expertise in GPU and CPU technologies to develop high-performance AI chipsets. Additionally, emerging players are intensifying competition with their specialized AI chipsets tailored for mobile devices, edge computing, and cloud infrastructure. Strategic partnerships, acquisitions, and investments in R&D are key strategies employed by companies to maintain their competitive edge in this rapidly evolving market landscape. 'Intel Corporation (US)  ', 'Nvidia Corporation (US)  ', 'Advanced Micro Devices (US)  ', 'Qualcomm Technologies, Inc. (US)  ', 'IBM Corporation (US)  ', 'Alphabet, Inc. (US)  ', 'Samsung Electronics Co., Ltd. (South Korea)  ', 'Kneron (US)  ', 'Micron Technology, Inc. (US)  ', 'NXP Semiconductors N.V. (Netherlands)  ', 'MediaTek Inc. (Taiwan)  ', 'Texas Instruments Incorporated (US)  ', 'Broadcom Inc. (US)  ', 'Arm Holdings PLC (UK)  ', 'Fujitsu Limited (Japan)  ', 'Graphcore Ltd. (UK)  ', 'Huawei Technologies Co., Ltd. (China)  ', 'Baidu, Inc. (China)  ', 'Mythic AI, Inc. (US)  ', 'LG Electronics (South Korea)'

The rapid proliferation of AI-powered applications in the various industries such as healthcare, automotive, finance etc. is a major driver of the global artificial intelligence (AI) chipsets market. These applications require advanced AI chipsets for efficient data processing, devices learning and deep learning capabilities. The need for real-time data analysis, advanced decision-making and automation is driving the demand for robust AI chipsets. 

Edge AI Computing: A key trend in the global artificial intelligence (AI) chipsets market is the growing adoption of edge AI computing. Edge AI involves processing data locally on devices, such as smartphones, IoT devices, and autonomous vehicles, rather than relying on centralized cloud servers. This trend is driven by the need for low-latency processing, enhanced data privacy, and reduced bandwidth usage. Edge AI chipsets enable real-time data analysis and decision-making at the edge, making them increasingly popular in various applications, including smart cities, healthcare, and industrial automation.

The North America region in the market is expected to dominate the global market in terms of revenue share over the forecast period. Increasing government investment in R&D and the availability of established IT infrastructure could boost the growth of the market in North America. The presence of major professional companies like Nvidia Corporation, Intel Corporation, Google LLC, etc. is also driving the demand for AI chipsets in the US. and across Canada. These players are focusing on introducing advanced AI chipsets to improve their manufacturing efficiencies.