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

Globe and Mail

time12-02-2025

  • Automotive
  • Globe and Mail

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

"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. 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. 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? Check Out Some of the Top Selling Research Reports: Global Artificial Intelligence (AI) In Genomics Market - Focused Insights 2024-2029 Global AI in Healthcare Market - Focused Insight 2024-2029 Why Arizton? 100% Customer Satisfaction 24x7 availability – we are always there when you need us 200+ Fortune 500 Companies trust Arizton's report 80% of our reports are exclusive and first in the industry 100% more data and analysis 1500+ reports published till date Post-Purchase Benefit 1hr of free analyst discussion 10% off on customization About Us: Arizton Advisory and Intelligence is an innovative and quality-driven firm that offers cutting-edge research solutions to clients worldwide. We excel in providing comprehensive market intelligence reports and advisory and consulting services. We offer comprehensive market research reports on consumer goods & retail technology, automotive and mobility, smart tech, healthcare, life sciences, industrial machinery, chemicals, materials, I.T. and media, logistics, and packaging. These reports contain detailed industry analysis, market size, share, growth drivers, and trend forecasts. Arizton comprises a team of exuberant and well-experienced analysts who have mastered generating incisive reports. Our specialist analysts possess exemplary skills in market research. We train our team in advanced research practices, techniques, and ethics to outperform in fabricating impregnable research reports.

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