Press release
Deep Learning Chipset Market 2024: Global Industry Trends, Demand Drivers, and Key Players
"Gain a competitive edge with up to 30% off in-depth market reports-uncover key trends, growth drivers, and forecasts today!The new report published by The Business Research Company, titled Deep Learning Chipset Global Market Report 2024 - Market Size, Trends, And Global Forecast 2024-2033, delivers an in-depth analysis of the leading size and forecasts, investment opportunities, winning strategies, market drivers and trends, competitive landscape, and evolving market trends.
As per the report, the deep learning chipset market size has grown exponentially in recent years. It will grow from $7.43 billion in 2023 to $9.47 billion in 2024 at a compound annual growth rate (CAGR) of 27.4%. The deep learning chipset market size is expected to see exponential growth in the next few years. It will grow to $25.17 billion in 2028 at a compound annual growth rate (CAGR) of 27.7%.
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What Is Driving The Growth Of The Global Deep Learning Chipset Market?
Impact Of IoT Devices Adoption On The Deep Learning Chipset Market Growth
The rising adoption of internet of things (IoT) devices is expected to drive the deep learning chipset market going forward. Internet of Things (IoT) devices are physical objects equipped with sensors, software, and other technologies that enable them to connect to the internet and exchange data with other devices and systems. The adoption of IoT is due to lower sensor costs, advancements in AI, demand for automation, and the growth of smart devices and 5G networks. IoT devices generate vast amounts of data crucial for training deep learning models, which deep learning chipsets efficiently process to enhance AI capabilities. These chipsets are optimized for high-speed processing, enabling real-time analysis and decision-making essential for applications. For instance, in September 2022, according to a report published by Ericsson, a Sweden-based telecommunications company, global IoT connections reached 13.2 billion connections in 2022 and are expected to increase by 18% to 34.7 billion connections by 2028. Therefore, the rising adoption of the IoT (Internet of Things) will drive the deep learning chipset market.
What Is The Key Trend In The Global Deep Learning Chipset Market?
Advanced Deep Learning Processors Boost AI Computational Efficiency And Processing Speeds
Major companies operating in the deep-learning chipset market are focusing 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 the computational tasks involved in deep learning and utilize neural networks with multiple layers to analyze large amounts of data. For instance, in May 2022, Habana Labs Ltd., a US-based deep learning and AI processor chip manufacturing company, launched Habana Gaudi2 Training and Habanab Greco, second-generation deep learning processors. Habana Gaudi2 has tremendous performance improvements, achieving up to 2x throughput compared to Nvidia's A100 GPU. It has 24 tensor processor cores, a substantial increase over its predecessor, and 96 GB of HBM2E memory, triple the previous capacity. It features 24 100 Gigabit RDMA connections, allowing for scalable training settings and reducing reliance on proprietary technology. Habanab Greco is expected to make significant speed gains over its predecessor, comparable to the advancements observed in Gaudi 2.
How Is The Global Deep Learning Chipset Market Segmented?
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
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How Is The Competitive Landscape Of The Global 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.
Contents Of The Global Deep Learning Chipset Market
1. Executive Summary
2. Deep Learning Chipset Market Report Structure
3. Deep Learning Chipset Market Trends And Strategies
4. Deep Learning Chipset Market - Macro Economic Scenario
5. Deep Learning Chipset Market Size And Growth
…..
27. Deep Learning Chipset Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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The Business Research Company (www.thebusinessresearchcompany.com) is a leading market intelligence firm renowned for its expertise in company, market, and consumer research. With a global presence, TBRC's consultants specialize in diverse industries such as manufacturing, healthcare, financial services, chemicals, and technology, providing unparalleled insights and strategic guidance to clients worldwide.
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