Transforming the Deep Learning Chipset Market in 2025: Impact Of IoT Devices Adoption On The Deep Learning Chipset Market Growth

What Is the Expected Size and Growth Rate of the Deep Learning Chipset Market?
The dimension of the deep learning chipset market has significantly expanded in the previous few years. We're expecting an increase from a market size of $9.47 billion in 2024, to roughly $12.1 billion in 2025, indicating a compound annual growth rate (CAGR) of 27.8%. The dramatic upswing during the historic era can be associated with a heightened necessity to efficiently manage vast quantities of data, the surge in cloud computing, the emergence of AI-centric applications, governmental funding, and the progressive advancement of AI frameworks and libraries.

Expectations are high for the deep learning chipset market size to experience remarkable growth in the upcoming years. By 2029, it is anticipated to reach $32.11 billion with a compound annual growth rate (CAGR) of 27.6%. This notable rise during the forecast period is predicted to be driven by the development of autonomous systems, the appearance of 5g technology, increased emphasis on energy efficiency, the prevalent use of IoT, and growing demand for automobiles. The forecast period is also likely to be characterized by key trends such as progress in neuromorphic computing, the customization of AI hardware, a focus on energy-saving AI solutions, advancements in AI-powered healthcare devices, and the increasing usage of cloud-based technology.

What Is Contributing to the Growth of the Deep Learning Chipset Market?
The deep learning chipset market is forecasted to be propelled forward by the increasing use of Internet of Things (IoT) devices. IoT devices are tangible objects outfitted with sensors, software, and other technologies that allow them to link to the internet and exchange data with various other devices and systems. The uptake of IoT has been facilitated by lower sensor costs, AI advancements, a demand surge for automation, and the rise of smart devices and 5G networks. IoT devices create large amounts of data critical for training deep learning models. These deep learning chipsets process this data efficiently to augment AI capabilities. Their optimization for quick processing is essential for real-time analysis and decision-making needed for applications. For example, a report published by Ericsson, a telecommunications company based in Sweden, in September 2022, stated that global IoT connections amounted to 13.2 billion in 2022 and are projected to rise by 18% to 34.7 billion by 2028. Consequently, the deep learning chipset market will be propelled by the increasing use of IoT devices.

Get Your Free Sample Now - Explore Exclusive Market Insights:
https://www.thebusinessresearchcompany.com/sample.aspx?id=18563&type=smp

Which Leading Companies Are Shaping the Growth of 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 Are the Major Trends Shaping the Deep Learning Chipset Market?
The deep learning chipset market is being advanced by leading companies that are concentrating on creating sophisticated products such as deep-learning processors. These processors are aimed at augmenting computational capability and boosting processing speed for intricate AI applications. Essentially, they expedite the computational processes inherent in deep learning and involve multi-layered neural networks in analyzing voluminous data. For example, Habana Labs Ltd., an American manufacturer of deep learning and AI processor chips, unveiled their Habana Gaudi2 Training and Habanab Greco in May 2022. These second-generation deep learning processors offer impressive performance enhancements, with Gaudi2 yielding as much as twice the throughput of Nvidia's A100 GPU. Accompanying 24 tensor processor cores, a noteworthy progression from its predecessor, and 96 GB of HBM2E memory, which is three times the previous capacity, it also provides 24 100 Gigabit RDMA connections. This feature paves the way for scalable training situations while decreasing the dependence on proprietary technology. Habanab Greco is predicted to achieve substantial speed improvements comparable to those seen in Gaudi 2.

What Are the Key Segments of the 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)

Pre-Book Your Report Now For A Swift Delivery:
https://www.thebusinessresearchcompany.com/report/deep-learning-chipset-global-market-report

Which Region Dominates 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.

What Is Covered In The Deep Learning Chipset Global Market Report?

- Market Size Analysis: Analyze the Deep Learning Chipset Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the Deep Learning Chipset Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the Market.
- Market Contribution: Evaluate contributions of different segments to the overall Deep Learning Chipset Market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the Deep Learning Chipset Market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.

Unlock Exclusive Market Insights - Purchase Your Research Report Now!
https://www.thebusinessresearchcompany.com/purchaseoptions.aspx?id=18563

Connect with us on:
LinkedIn: https://in.linkedin.com/company/the-business-research-company,
Twitter: https://twitter.com/tbrc_info,
YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ.

Contact Us
Europe: +44 207 1930 708,
Asia: +91 88972 63534,
Americas: +1 315 623 0293 or
Email: mailto:info@tbrc.info

Learn More About The Business Research Company
With over 15,000+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Our flagship product, the Global Market Model delivers comprehensive and updated forecasts to support informed decision-making.

This release was published on openPR.