Deep Learning Chipset Market to Reach USD 35.2 Billion by 2027 with 24% CAGR Amid Soaring Demand for AI Solutions - Exclusive Report by TMR

According to the latest research report by Transparency Market Research (TMR), the global deep learning chipset market is poised for exponential growth. Driven by the unprecedented surge in data volumes and advanced algorithms, the market is expected to quintuple from approximately USD 6.4 billion in 2019 to nearly USD 35.2 billion by 2027, expanding at a robust compound annual growth rate (CAGR) of around 24%.

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Market Overview

The artificial intelligence (AI) revolution continues to reshape numerous industry verticals-from healthcare and automotive to aerospace & defense and consumer electronics. At the heart of this transformation lies the deep learning chipset market, which has evolved significantly from early neural network models to sophisticated deep learning architectures. High volumes of data required for training and inference, coupled with rapid technological advancements, are catalyzing the widespread adoption of these chipsets across multiple applications.

TMR's research highlights that while deep learning chipsets have traditionally powered data centers, a notable trend is emerging where a majority of processing is expected to move closer to the sensor arrays-driving innovation in edge computing and next-generation consumer devices.

Top Market Trends

• High Demand for Advanced AI Processing: The surge in digitally generated data, propelled by IoT and high-resolution content, has spurred demand for chipsets that can efficiently process complex deep learning and machine learning models.
• Shift to Edge Processing: Although data centers have historically been the primary users, companies are increasingly focusing on embedding deep learning capabilities in consumer devices such as security cameras, drones, smartphones, and AR/VR headsets.
• Integration of Enhanced Graphical Capabilities: Technological advancements in graphic processing units (GPUs) have ushered in a new era where chipsets now combine high-resolution image processing with state-of-the-art computational capabilities. This is exemplified by recent innovations that have dramatically improved energy efficiency and performance.

Key Players and Latest Developments

Several industry titans and innovative startups are vying for a leading position in this rapidly evolving market. Key players include IBM Corporation, Graphcore Ltd, CEVA, Inc., Advanced Micro Devices, Inc., NVIDIA Corporation, Intel Corporation, Movidius, XILINX INC., TeraDeep Inc., QUALCOMM Incorporated, and Alphabet Inc.
Recent strategic developments have further intensified competition:
• Huawei unveiled its Ascend 910 and Ascend 310 AI chips in August 2019, with the former delivering up to 256 TeraFLOPS for advanced processing.
• Hailo made headlines in May 2019 by launching the Hailo-8, the first deep learning processor specifically engineered for devices such as drones, smartphones, and smart cameras.
• NVIDIA Corporation introduced a breakthrough chip in June 2018, featuring six processing units including a 512-core Volta Tensor Core GPU, an eight-core Carmel Arm64 CPU, and specialized accelerators-all designed to offer unprecedented performance while consuming significantly lower power.

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Deep Learning Chipset Market - Segmentation

Type
• Graphics Processing Units (GPUs)
• Central Processing Units (CPUs)
• Application Specific
• Integrated Circuits (ASICs)
• Field Programmable Gate Arrays (FPGAs)
• Others
Compute Capacity
• Low
• High
End User
• Consumer Electronics
• Automotive
• Industrial
• Healthcare
• Aerospace & Defense
• Others
Region
• North America
• Europe
• Asia Pacific
• Middle East & Africa
• South America

Consumer Industry Impact

The integration of deep learning chipsets is revolutionizing consumer electronics. Devices ranging from augmented reality/virtual reality (AR/VR) headsets and smart speakers to next-generation smartphones are now equipped with advanced AI processing capabilities. This has not only enhanced user engagement and satisfaction but also driven manufacturers to invest heavily in chipset innovation to meet the evolving demands of the market.
As deep learning facilitates enhanced cognitive functions such as reasoning, learning, and perception, it is expected to further transform industries by enabling smarter, more intuitive devices that better interact with human users.

Future Outlook

Looking ahead, the deep learning chipset market is set to experience remarkable growth, underpinned by:
• Continued Technological Advancements: Ongoing innovations in chipset fabrication and design will unlock new applications, particularly in areas requiring real-time data processing at the edge.
• Expanding Market Applications: Beyond consumer electronics, sectors such as automotive, industrial, healthcare, and aerospace & defense are anticipated to increasingly leverage deep learning chipsets to improve operational efficiency and safety.
• Strategic Industry Collaborations: As companies align their R&D efforts with emerging market trends, strategic partnerships and collaborations are expected to drive further breakthroughs in AI hardware.

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About Us Transparency Market Research

Transparency Market Research, a global market research company registered at Wilmington, Delaware, United States, provides custom research and consulting services. The firm scrutinizes factors shaping the dynamics of demand in various markets. The insights and perspectives on the markets evaluate opportunities in various segments. The opportunities in the segments based on source, application, demographics, sales channel, and end-use are analysed, which will determine growth in the markets over the next decade.

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