AI Chip Market Research Report 2029: $117.50 Bn Worth Market – Arizton

AI Chip Market Research Report 2029: $117.50 Bn Worth Market - Arizton
AI Chip Market Research Report by Arizton

 

According to Arizton’s latest research report, the global AI chip market is growing at a CAGR of 31.05% during 2023-2029.

   

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Report Scope:   

Market Size (2029): $117.50 Billion    

Market Size (2023): $23.19 Billion

CAGR (2023-2029): 31.05%  

Historic Year: 2020-2022           

Base Year: 2023         

Forecast Year: 2024-2029           

Market Segmentation: Type, Processing, End-User, and Geography

Geographical Analysis: North America, Europe, APAC, Latin America, and Middle East & Africa   

   

Market Opportunities

Impact of Growing Outlook for AI Chip in Automotive

The automotive industry is undergoing a rapid transformation, driven by the integration of AI and advanced computing technologies in autonomous vehicles (AVs). Companies like NVIDIA, QUALCOMM, and MediaTek are leading this shift, offering AI-driven hardware and software solutions that enhance vehicle performance, safety, and connectivity. For instance, NVIDIA’s DRIVE platform provides comprehensive solutions for autonomous driving, while MediaTek’s partnership with NVIDIA aims to create intelligent, software-defined vehicles that improve user experiences.

The industry’s digital transformation is further supported by collaborations among major automakers like Toyota, Nissan, and Honda, focusing on software-defined vehicles (SDVs) powered by generative AI and semiconductor technology. In addition, chip manufacturers like Intel and Ambarella are introducing new GPUs and AI domain controllers, enhancing features such as voice recognition, AI assistants, and autonomous driving capabilities.

As the industry moves toward a software-driven future, advancements in AI, connectivity, and automation will shape the next generation of AVs. With intensifying competition among chip manufacturers, innovations in efficiency, performance, and integration will define the future of autonomous and connected vehicles.

 

Global Investment in AI Chip Technologies

Governments worldwide are heavily investing in AI chip technologies to maintain global competitiveness, with national security and technological advancement driving these efforts. China, South Korea, the US, India, and the UK have announced significant investments to develop AI capabilities and semiconductor technologies. Initiatives include funding for AI chipmakers, enhancing R&D for sustainable semiconductor materials, and procuring high-end GPUs for AI startups. Private investment also plays a crucial role, with companies like NVIDIA, Intel, and Qualcomm leading the way in developing advanced AI chips for diverse applications, further driving innovation and shaping the future of AI technology.

 

Recent Product Launches

  • In October 2024, AMD launched the Ryzen AI PRO 300 Series Processors, featuring the new Zen 5 architecture designed for enhanced business productivity. The series supports advanced features like live captioning and language translation in conference calls through the integrated NPU with over 50 TOPS of AI processing power. Models include the Ryzen AI 9 HX PRO 375 with 12 cores, boosting up to 5.1GHz, and enhanced security through AMD’s PRO Technologies.
  • In 2023, at Microsoft Ignite, the company unveiled its custom-designed chips: the Azure Maia AI Accelerator and the Azure Cobalt CPU, aimed at enhancing AI infrastructure and performance. The Maia AI Accelerator is tailored for AI tasks, while the Arm-based Cobalt CPU focuses on general compute workloads.

 

Cloud Processing to Hold the Largest Share in the AI Chip Market

Cloud AI, the integration of AI tools with cloud computing, is transforming industries by offering scalability, cost-effectiveness, and accessibility. This combination allows businesses to harness powerful AI capabilities such as machine learning, natural language processing, and computer vision without the need for extensive infrastructure. Major companies like Qualcomm, AWS, NVIDIA, Microsoft, and Google are heavily investing in cloud-based AI services, providing cutting-edge chips and platforms that democratize AI technology. Innovations like Qualcomm’s Cloud AI 100 Ultra and Google’s TPU v5p chip are enhancing efficiency, enabling businesses to optimize AI models and achieve sustainability goals. The development of AI chips in cloud processing fosters innovation, improves performance, and aligns with environmental goals, marking a new era for the tech industry.

 

AI Chipset Industry: Competitive Landscape and Innovation

The AI chipset industry is highly competitive, with companies like NVIDIA, AMD, and Intel dominating around 80-85% of the market. These leaders have cemented their position through years of innovation, developing specialized AI chips that enhance processing speeds, reduce energy consumption, and support complex machine learning tasks. NVIDIA leads in high-performance AI workloads, but Intel and AMD are closing the gap with tailored solutions for various sectors. Additionally, startups like Cerebras Systems and Graphcore are pushing boundaries with innovations such as the WSE chip and Intelligence Processing Units (IPUs). The AI chip supply chain is highly globalized, with no single country fully capable of independently producing advanced chips. Partnerships, like Intel’s collaborations with Dell and Lenovo, help companies strengthen their market position and expand AI adoption. As demand for AI grows, strategic alliances and technological advancements will continue to shape the AI chipset market’s evolution.

 

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Key Company Profiles

  • AMD
  • Intel Corporation
  • NVIDIA Corporation
  • QUALCOMM Incorporated
  • Taiwan Semiconductor Manufacturing Company Limited
  • Alphabet Inc
  • Amazon Web Services, Inc
  • Apple Inc
  • Baidu, Inc
  • Cerebras Systems
  • General Vision Inc.
  • Graphcore
  • Horizon Robotics
  • IBM
  • Imagination Technologies
  • krtkl inc
  • MediaTek
  • Microchip Technology Inc.
  • Micron Technology, Inc
  • Microsoft
  • Mythic
  • NXP Semiconductors
  • Samsung Electronics Co., Ltd
  • SK hynix inc
  • Tenstorrent
  • ThinkForce

 

Market Segmentation

 

Type

  • GPU
  • ASIC
  • FPGA
  • CPU
  • Others

 

Processing

  • Cloud
  • Edge

 

End-User

  • Data Center
  • Automotive
  • Consumer Electronic
  • Others

 

Geography

 

North America

  • The U.S.
  • Canada

 

APAC

  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Taiwan
  • Indonesia
  • Singapore

 

Europe

  • Germany
  • The U.K.
  • France
  • Italy
  • Spain
  • Poland

 

Latin America

  • Brazil
  • Mexico
  • Argentina

 

Middle East & Africa

  • The UAE
  • Saudi Arabia
  • South Africa

 

Key Questions Answered in the Report:   

How big is the global AI chip market?

What is the growth rate of the global AI chip market?

Which region dominates the global AI chip market share?

What are the significant trends in the AI chip industry?

Who are the key players in the global AI chip market?

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