The deep learning chipset market has experienced exponential growth, rising from $7.43 billion in 2023 to $9.47 billion in 2024 at a compound annual growth rate (CAGR) of 27.4%. The historic growth of this market is due to the increasing need to process large volumes of data efficiently, the expansion of cloud computing, the development of AI-driven applications, government investments, and the evolution of AI frameworks. Looking ahead, the deep learning chipset market is expected to reach $25.17 billion by 2028 with a CAGR of 27.7%. Future growth will be driven by the growth of autonomous systems, the rise of 5G technology, a focus on energy-efficient solutions, the increasing adoption of IoT, and growing demand for AI in the automotive sector. Key trends that will shape the future of this market include advances in neuromorphic computing, the customization of AI hardware, energy-efficient AI solutions, AI-driven healthcare devices, and the adoption of cloud-based technology
Global Deep Learning Chipset Market Key Driver
The adoption of Internet of Things (IoT) devices is growing due to advancements in technology and increased demand for smart, connected systems, which in turn is driving the deep learning chipset market. These chipsets are essential for processing vast amounts of data generated by IoT devices, improving AI capabilities through real-time decision-making. According to a 2022 report by Ericsson, global IoT connections reached 13.2 billion in 2022 and are projected to rise to 34.7 billion by 2028, further boosting the demand for deep learning chipsets in the coming years.
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Global Deep Learning Chipset Market Segments
The deep learning chipset market covered in this report is segmented –
1) By Type: Graphics Processing Units (GPUs), Central Processing Units (CPUs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), Other Types
2) By Technology: System-On-Chip (SOC), System-In-Package (SIP), Multi-Chip Module, Other Technologies
3) By Compute Capacity: High, Low
4) By End-User Industry: Healthcare, Automotive, Retail, Banking, Financial Services, And Insurance (BFSI), Manufacturing, Telecommunications, Energy, Other End-User Industries
By Geography:The regions covered in the deep learning chipset market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
North America was the largest region in the deep learning chipset market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period.
Major Deep Learning Chipset Industry Players
Apple Inc., Microsoft Corporation, Samsung Electronics Co. Ltd., Huawei Technologies Co. Ltd., Amazon Web Services Inc., Intel Corporation, International Business Machines Corporation, Qualcomm Technologies Inc., Micron Technology Inc., NVIDIA Corporation, Advanced Micro Devices Inc., Texas Instruments Incorporated, MediaTek Inc., NXP Semiconductors, INSPUR Co. Ltd., Cambricon Technologies, Rockchip, Cerebras Systems Inc., Mythic, Habana Labs Ltd., BrainChip Inc.
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Deep Learning Chipset Market Overview
A deep learning chipset is a specialized hardware component designed to perform the complex computations required for deep learning algorithms efficiently. These chipsets are optimized for handling large-scale matrix operations and high-volume data processing inherent in neural network training and inference.
Deep Learning Chipset Global Market Report 2023 provides data on the global deep learning chipset market such as market size, growth forecasts, segments and geographies, competitive landscape including leading competitors’ revenues, profiles and market shares. The deep learning chipset market report identifies opportunities and strategies based on market trends and leading competitors’ approaches.
