Global Deep Learning Chipset Market Top Major Players 2024, Forecast To 2033
10 Oct, 2024
The deep learning chipset market has witnessed exponential growth, increasing from $7.43 billion in 2023 to $9.47 billion in 2024, with a compound annual growth rate (CAGR) of 27.4%. The historic growth of this market is attributed to the increasing need for efficient processing of large volumes of data, 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, reflecting a CAGR of 27.7%. Future growth will be driven by the development of autonomous systems, the rise of 5G technology, a focus on energy-efficient solutions, the increasing adoption of IoT, and the growing demand for AI in the automotive sector. Key trends that will shape the future of this market include advances in neuromorphic computing, customization of AI hardware, energy-efficient AI solutions, AI-driven healthcare devices, and the adoption of cloud-based technology.
Major Driver In The Deep Learning Chipset Market
The adoption of Internet of Things (IoT) devices is on the rise, fueled by technological advancements and a growing demand for smart, connected systems, which is driving the growth of the deep learning chipset market. These chipsets are crucial for processing the vast amounts of data generated by IoT devices, enhancing AI capabilities through real-time decision-making. According to a report by Ericsson, global IoT connections reached 13.2 billion in 2022 and are projected to soar to 34.7 billion by 2028, significantly increasing the demand for deep learning chipsets in the coming years.
Request A Free Sample Of The Deep Learning Chipset Market ReportDeep Learning Chipset Market Competitive Landscape
Major companies operating in the deep learning chipset market are 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.
Key Deep Learning Chipset Market Trend
Major companies in the deep-learning chipset market are concentrating on developing advanced products, such as deep-learning processors, to enhance computational efficiency and improve processing speeds for complex AI applications. Deep learning processors are designed to accelerate computational tasks involved in deep learning, utilizing neural networks with multiple layers to analyze vast amounts of data. For instance, in May 2022, Habana Labs Ltd., a US-based manufacturer of deep learning and AI processor chips, introduced the Habana Gaudi2 Training and Habanab Greco, second-generation deep-learning processors. The Habana Gaudi2 boasts significant performance improvements, achieving up to 2x throughput compared to Nvidia’s A100 GPU. It includes 24 tensor processor cores, a substantial increase over its predecessor, and 96 GB of HBM2E memory, tripling the previous capacity. It also features 24 100 Gigabit RDMA connections, enabling scalable training environments and reducing reliance on proprietary technology. Habanab Greco is expected to deliver considerable speed gains compared to its predecessor, akin to the advancements seen in Gaudi 2.
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Global Deep Learning Chipset Market Segmentation
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.
The Deep Learning Chipset Global Market Report 2024 furnishes information about the global deep learning chipset market, encompassing details like market size, projections for growth, segmentation across various sectors and regions, and an overview of competitors, including their revenues, profiles, and market shares. Furthermore, the report pinpoints potential opportunities and strategic directions derived from market trends and the strategies adopted by key competitors. The report also offers an assessment of how the COVID-19 pandemic, the Russia-Ukraine conflict, and increasing inflation have affected both global and regional markets, furnishing valuable strategic insights for businesses.