What Has Been the Progress and Growth of the Deep Learning Chipset Market in Recent Years?
The deep learning chipset market has seen considerable growth due to a variety of factors.
• The deep learning chipset market has grown exponentially in recent years. It will increase from $9.47 billion in 2024 to $12.1 billion in 2025, with a CAGR of 27.8%.
The growth can be attributed to the growing need to manage large data volumes, the rise of cloud computing, the development of AI applications, government investments, and the evolution of AI frameworks.
What Is The Expected Growth In The Deep Learning Chipset Market Size Evolve over the Forecast Period?
The deep learning chipset market is expected to maintain its strong growth trajectory in upcoming years.
• The deep learning chipset market is projected to reach $32.11 billion by 2029, expanding at a CAGR of 27.6%.
This rapid growth is fueled by autonomous systems, 5G technology emergence, energy efficiency, IoT adoption, and increasing automotive demand. Key trends include neuromorphic computing, AI hardware customization, energy-efficient solutions, AI-powered healthcare devices, and cloud technology adoption.
What Main Forces Are Fueling Expansion In The Deep Learning Chipset Market?
The growing adoption of Internet of Things (IoT) devices is expected to fuel the expansion of the deep learning chipset market. IoT devices are objects connected to the internet, enabling data exchange and integration with other devices. The rise in IoT adoption is driven by lower sensor costs, advancements in AI, and the expansion of smart devices and 5G networks. These devices generate vast amounts of data that require deep learning chipsets to process, enabling real-time analysis and decision-making for various applications. For instance, in September 2022, Ericsson reported that global IoT connections reached 13.2 billion in 2022 and are expected to grow by 18% to 34.7 billion by 2028. This surge in IoT connections is anticipated to drive the deep learning chipset market.
What Are The Primary Segments In The Global Deep Learning Chipset Market?
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
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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How Are Emerging Trends Reshaping The Dynamics Of The Deep Learning Chipset Market?
Companies in the deep learning chipset market are focused on developing deep-learning processors to boost computational efficiency and processing speeds for AI applications. These processors accelerate deep learning tasks using neural networks. In May 2022, Habana Labs Ltd., a US-based AI processor manufacturer, launched its second-generation deep learning processors, Gaudi2 and Greco. Gaudi2 achieves up to 2x throughput compared to Nvidia's A100 GPU, with significant improvements in tensor cores and memory capacity, supporting scalable training environments.
Who Are the Key Players In The Deep Learning Chipset Market?
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.
What Is The Most Dominant Region In The Deep Learning Chipset Market?
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 regions covered in the deep learning chipset market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
