Steady Expansion Forecast for Deep Learning Chipset Market, Projected to Reach $31.67 Billion by 2029

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What Will the Deep Learning Chipset Industry Market Size Be by 2025?
In recent times, there has been a stellar growth in the deep learning chipset market size. This market is projected to expand from $9.47 billion in 2024 to $12.01 billion in 2025, maintaining a compound annual growth rate (CAGR) of 26.9%. The growth during the historic period can be traced back to the escalating need for handling massive volumes of data, the surge in cloud computing, the creation of AI-centric applications, governmental funding, and the refinement of AI frameworks and libraries.

What's the Long-Term Growth Forecast for the Deep Learning Chipset Market Size Through 2029?
The market size of the deep learning chipset is predicted to witness a monumental increase in the coming years. It's anticipated to reach $31.67 billion in 2029, with a compound annual growth rate (CAGR) of 27.4%. This surge in the predicted period can be traced back to the expansion of autonomous systems, the birth of 5g technology, heightened emphasis on energy efficiency, increased adaption of IoT, and a boost in automobile demand. Key trends within the forecasted period encompass progress in neuromorphic computing, personalization of AI hardware, a centred attention on energy-efficient AI solutions, advancements in AI-empowered healthcare devices, and the embracing of cloud-based technology.

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What Are the Key Growth Drivers Fueling the Deep Learning Chipset Market Expansion?
The anticipated growth of the deep learning chipset market is predicted to be fuelled by the increasing use of Internet of Things (IoT) devices. IoT devices are tangible objects embedded with software, sensors, and various other technologies that allow them to connect to the internet and exchange data with different devices and systems. The embrace of IoT comes as a result of reduced sensor expenses, advancements in AI, the demand for automation, and the rise of smart devices and 5G networks. These devices create a plethora of data that is vital for the training of deep learning models, which is efficiently processed by deep learning chipsets to boost AI capabilities. Optimized for high-speed processing, these chipsets facilitate real-time analysis and decision-making, which are key for applications. For example, according to a September 2022 report by Ericsson, a telecommunications company based in Sweden, the number of global IoT connections reached 13.2 billion in 2022 and is projected to grow by 18% to 34.7 billion connections by 2028. Hence, the growing use of Internet of Things (IoT) devices will spur the growth of the deep learning chipset market.

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What Are the Key Trends Driving Deep Learning Chipset Market Growth?
Leading businesses active in the deep learning chipset market are directing their efforts towards creating innovative products like deep learning processors. These products augment computational effectiveness and processing speed for intricate AI applications. Deep learning processors expedite computing tasks linked to deep learning, while using multi-layered neural networks for the thorough analysis of copious amounts of data. For instance, Habana Labs Ltd., a U.S.-based firm specializing in chip manufacturing for deep learning and AI processors, announced the launch of its second-generation deep learning processors - Habana Gaudi2 Training and Habanab Greco - in May 2022. With impressive performance enhancements, Gaudi2 can deliver double the throughput of Nvidia's A100 GPU. It boasts 24 tensor processor cores, significantly more than its predecessor, and 96 GB of HBM2E memory, three times the previous capacity. Additionally, it comes with 24 100 Gigabit RDMA connections, enabling scalable training configurations and lessening dependence on proprietary technology. Meanwhile, Habanab Greco is projected to see substantial velocity improvements over its precursor, akin to those seen in Gaudi 2.

How Is the Deep Learning Chipset Market Segmented?
The deep learning chipsetmarket 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

Subsegments:
1) By Graphics Processing Units (Gpus): Consumer Gpus, Data Center Gpus, Server Gpus, Integrated Gpus, Cloud Gpus
2) By Central Processing Units (Cpus): Multi-Core Cpus, High-Performance Cpus, Server Cpus, Consumer Cpus
3) By Application Specific Integrated Circuits (Asics): Deep Learning Asics, Tensor Processing Units (Tpus), Cryptocurrency Mining Asics, Custom Ai Asics
4) By Field Programmable Gate Arrays (Fpgas): General-Purpose Fpgas, Ai-Optimized Fpgas, High-Performance Fpgas
5) By Other Types: Neuromorphic Chips, Quantum Chips, Edge Ai Chips, Hybrid Chips (Combination Of Different Chip Architectures)

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Which Companies Are Leading the Charge in Deep Learning Chipset Market Innovation?
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.

Which Regions Are Leading the Global Deep Learning Chipset Market in Revenue?
North America was the largest region in the deep learning chipset market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the deep learning chipset market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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