Authored By: Sarah
11 Jul 2024

 Deep Learning Chips Market to grow by USD 42399 million between 2024-2028

According to a research report “ Deep Learning Chips Market” by Technology (System-on-Chip, System-in-Package, Multi-chip Module, Others) End-user (BFSI, IT and telecom, Media and advertising, Others) Geography (North America, Europe, APAC, South America, Middle East and Africa)- Global Forecast to 2028 published by Technavio, the market size is estimated to grow by USD 42399 million at a CAGR of  50.22% during the forecast period. In the burgeoning deep learning chip market, automotive sector investments are surging. Deep learning chips are essential for autonomous vehicles to attain Level 4/5 automation, generating immense demand. With vast sensor data from cameras, radar, LIDAR, and ultrasonic instruments, these chips necessitate high computational power to analyze unstructured data and make instantaneous driving decisions..

Browse market data tables, figures, and in-depth TOC on “Deep Learning Chips Market” by Technology (System-on-Chip, System-in-Package, Multi-chip Module, Others) End-user (BFSI, IT and telecom, Media and advertising, Others) Geography (North America, Europe, APAC, South America, Middle East and Africa) Global Forecast to 2028.

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By Technology, the System-on-Chip segment is projected to dominate the market size in 2024.

In the BFSI sector, the surge in demand for advanced customer service, fraud detection, risk management, and investment analysis has fueled the adoption of deep learning chips. These chips are instrumental in processing and analyzing customer data to deliver customized recommendations and offers, thereby fostering stronger customer relationships, loyalty, and revenue growth. Additionally, deep learning chips play a pivotal role in fraud prevention, mitigating risks associated with identity theft and credit card fraud.

By End-user, BFSI  segment is expected to hold the largest market size for the year 2024.

In the rapidly evolving technology landscape, System-on-Chips (SoCs) have emerged as a game-changer for businesses seeking to optimize complex computational tasks, particularly in deep learning applications. SoCs, which integrate CPUs, GPUs, and essential memory on a single chip, offer unparalleled performance and energy efficiency. This business-critical technology is revolutionizing industries, including autonomous vehicles, healthcare, retail, and manufacturing, by powering deep learning deployments with unprecedented efficiency and power.

North America is forecasted to hold the largest market size by region in 2024.

In the dynamic business landscape, the Deep Learning Chips Market is experiencing significant growth. These chips, integral to artificial intelligence and machine learning applications, are driving innovation and efficiency. Companies are investing heavily to develop advanced chips capable of processing large datasets with minimal error. The market's future looks promising, with increasing demand from industries such as healthcare, finance, and automotive.

The Deep Learning Chips Market growth and forecasting report also includes detailed analyses of the competitive landscape of the market growth and forecasting and information about 20 market companies, including:

  • Achronix Semiconductor Corp.
  • Advanced Micro Devices Inc.
  • Alphabet Inc.
  • Inc.
  • Cerebras
  • China Cambrian Technology Co. Ltd.
  • Flex Logix Technologies Inc.
  • Fujitsu Ltd.
  • Graphcore Ltd.
  • Groq Inc.
  • Intel Corp.
  • International Business Machines Corp.
  • MediaTek Inc.
  • NVIDIA Corp.
  • Qualcomm Inc.
  • Samsung Electronics Co. Ltd.
  • Synopsys Inc.
  • Syntiant Corp.
  • Taiwan Semiconductor Manufacturing Co. Ltd.
  • ThinkForce

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Research Analysis Overview

The Deep Learning Chips market encompasses a range of innovative technologies designed to accelerate artificial intelligence (AI) applications. These chips include neural processing units, on-device AI chips, AI training chips, and AI inference chips. Low-power and embedded solutions are also gaining traction due to the increasing demand for energy-efficient AI solutions. Deep learning accelerators and artificial intelligence accelerators are key players in this market, offering significant improvements in AI chip performance and optimization. High-performance computing chips, such as FPGA chips, ASIC chips, CPU chips, and GPU chips, are also utilized for deep learning applications due to their ability to handle complex computations. Security and reliability are crucial considerations in the Deep Learning Chips market. AI chip integration with co-processors and AI hardware is essential to ensure seamless performance and scalability. Machine learning chips and neural network processors are also essential components, enabling efficient AI processing and enabling advancements in AI chip efficiency and AI chip scalability. In summary, the Deep Learning Chips market is characterized by continuous innovation and advancements in AI chip technologies, AI chip applications, and AI chip optimization. These developments are driving the growth of the market and enabling the deployment of AI solutions across various industries.

Market Research Overview

In the dynamic and evolving technology landscape, the Deep Learning Chips Market continues to gain significant traction. This market encompasses a diverse range of chips, including System-on-Chip (SoC), Multi-chip Module (MCM), and Application-Specific Integrated Circuits (ASIC), among others. These chips are integral to various industry verticals such as Automotive & Transportation, Healthcare, IT & Telecom, Media & Advertising, and more. Deep Learning Chips are essential components of Artificial Intelligence (AI) and Machine Learning (ML) applications. They cater to the growing demand for AI hardware, including AI co-processors, neural processing units, on-device AI chips, AI training chips, and AI inference chips. These chips are designed to deliver high performance, efficiency, scalability, and reliability. Deep Learning Chips are also instrumental in enabling advanced technologies like quantum computing, robotics, drug discovery, game playing, machine translation, speech synthesis, voice recognition, computer vision, and more. The market for these chips is expected to grow exponentially due to the increasing adoption of AI and ML in various sectors and the continuous innovation in chip technologies. The Deep Learning Chips Market is a vibrant ecosystem, comprising numerous startups, vendors, and established players. It is characterized by rigorous research and development, constant innovation, and a strong focus on AI chip security and optimization.


Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200

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