Artificial Intelligence (AI) Chipset Market size was valued US$ 20.76 Bn in 2023 and the total revenue is expected to grow at 40% from 2024 to 2030, reaching US$ 218.85 Bn. by 2030.
𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐂𝐡𝐢𝐩𝐬𝐞𝐭 𝐌𝐚𝐫𝐤𝐞𝐭 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰:
Maximize Market Research is a Business Consultancy Firm that has published a detailed analysis of the Artificial Intelligence Chipset Market. The report includes key business insights, demand analysis, pricing analysis, and competitive landscape. The report provides the current state of the Artificial Intelligence Chipset market by thorough analysis, and projections are made up to 2030.
𝐆𝐫𝐚𝐛 𝐘𝐨𝐮𝐫 𝐄𝐱𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐒𝐚𝐦𝐩𝐥𝐞 𝐂𝐨𝐩𝐲 𝐨𝐟 𝐭𝐡𝐞 𝐑𝐞𝐩𝐨𝐫𝐭 𝐍𝐨𝐰:https://www.maximizemarketresearch.com/request-sample/66849/
𝐂𝐨𝐮𝐧𝐭𝐫𝐲-𝐰𝐢𝐬𝐞 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐂𝐡𝐢𝐩𝐬𝐞𝐭 𝐌𝐚𝐫𝐤𝐞𝐭:
𝑨𝒓𝒕𝒊𝒇𝒊𝒄𝒊𝒂𝒍 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆 𝑪𝒉𝒊𝒑𝒔𝒆𝒕 𝑴𝒂𝒓𝒌𝒆𝒕 𝑮𝒓𝒐𝒘𝒕𝒉 𝑶𝒑𝒑𝒐𝒓𝒕𝒖𝒏𝒊𝒕𝒊𝒆𝒔 𝒊𝒏 𝑽𝒊𝒆𝒕𝒏𝒂𝒎
Vietnam is emerging as a key player in Southeast Asia’s AI landscape, with a rapidly developing tech ecosystem and government support for digital transformation. The market for AI chipsets in Vietnam is witnessing steady growth as more industries, including manufacturing, healthcare, and fintech, leverage AI technologiesIn the past year, Vietnamese tech firms have been eyeing mergers and acquisitions to strengthen their AI and semiconductor capabilities. Notable local companies are partnering with international players to develop AI solutions, creating new opportunities for chipset manufacturers.
𝑨𝒓𝒕𝒊𝒇𝒊𝒄𝒊𝒂𝒍 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆 𝑪𝒉𝒊𝒑𝒔𝒆𝒕 𝑴𝒂𝒓𝒌𝒆𝒕 𝑮𝒓𝒐𝒘𝒕𝒉 𝑶𝒑𝒑𝒐𝒓𝒕𝒖𝒏𝒊𝒕𝒊𝒆𝒔 𝒊𝒏 𝑻𝒉𝒂𝒊𝒍𝒂𝒏𝒅
Thailand is also experiencing substantial AI growth, with initiatives from both government and private sectors to incorporate AI technologies across industries like agriculture, healthcare, and retail. The country is positioning itself as a key player in AI research and development, particularly in AI chipset manufacturing.𝑻𝒉𝒂𝒊 𝒔𝒆𝒎𝒊𝒄𝒐𝒏𝒅𝒖𝒄𝒕𝒐𝒓 𝒄𝒐𝒎𝒑𝒂𝒏𝒊𝒆𝒔 have seen increased collaboration with international giants like 𝑸𝒖𝒂𝒍𝒄𝒐𝒎𝒎 and 𝑺𝒂𝒎𝒔𝒖𝒏𝒈 𝑬𝒍𝒆𝒄𝒕𝒓𝒐𝒏𝒊𝒄𝒔 in recent mergers and acquisitions, boosting Thailand’s position in the AI chipset supply chain.
𝑨𝒓𝒕𝒊𝒇𝒊𝒄𝒊𝒂𝒍 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆 𝑪𝒉𝒊𝒑𝒔𝒆𝒕 𝑴𝒂𝒓𝒌𝒆𝒕 𝑻𝒓𝒆𝒏𝒅𝒔 𝒊𝒏 𝑱𝒂𝒑𝒂𝒏
Japan has long been at the forefront of technological innovation, and the AI chipset market is no exception. Japan’s growing emphasis on robotics, automotive AI, and consumer electronics has led to a surge in demand for high-performance AI chipsets. Companies like 𝑺𝒐𝒏𝒚, 𝑻𝒐𝒔𝒉𝒊𝒃𝒂, and 𝑷𝒂𝒏𝒂𝒔𝒐𝒏𝒊𝒄 are heavily investing in AI and semiconductor research to push the limits of AI processing power. Additionally, 𝑵𝑽𝑰𝑫𝑰𝑨 has expanded its partnerships with Japanese manufacturers to deliver advanced AI solutions tailored to Japan’s unique technological needs.
𝑨𝒓𝒕𝒊𝒇𝒊𝒄𝒊𝒂𝒍 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆 𝑪𝒉𝒊𝒑𝒔𝒆𝒕 𝑴𝒂𝒓𝒌𝒆𝒕 𝑮𝒓𝒐𝒘𝒕𝒉 𝑶𝒑𝒑𝒐𝒓𝒕𝒖𝒏𝒊𝒕𝒊𝒆𝒔 𝒊𝒏 𝑺𝒐𝒖𝒕𝒉 𝑲𝒐𝒓𝒆𝒂
South Korea is a major hub for AI chipset development, driven by the presence of global giants like 𝑺𝒂𝒎𝒔𝒖𝒏𝒈 𝑬𝒍𝒆𝒄𝒕𝒓𝒐𝒏𝒊𝒄𝒔 and 𝑺𝑲 𝑯𝒚𝒏𝒊𝒙. South Korea is witnessing rapid adoption of AI technology across industries such as automotive, robotics, and telecommunications. The demand for AI chipsets is particularly high in the production of AI-based mobile devices and autonomous vehicles.South Korea’s semiconductor industry is undergoing significant consolidation, with major South Korean firms forging strategic partnerships with 𝑸𝒖𝒂𝒍𝒄𝒐𝒎𝒎, 𝑵𝑽𝑰𝑫𝑰𝑨, and other key players to co-develop AI-powered hardware solutions.
𝑨𝒓𝒕𝒊𝒇𝒊𝒄𝒊𝒂𝒍 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆 𝑪𝒉𝒊𝒑𝒔𝒆𝒕 𝑴𝒂𝒓𝒌𝒆𝒕 𝑼𝒑𝒅𝒂𝒕𝒊𝒐𝒏 𝒊𝒏 𝑺𝒊𝒏𝒈𝒂𝒑𝒐𝒓𝒆
Singapore has become one of the most dynamic markets for AI technology in Southeast Asia. With its strong focus on smart cities, automation, and financial technology (FinTech), Singapore is seeing a surge in the demand for AI chipsets that can handle large-scale machine learning and data processing tasks. The country’s strategic focus on AI-driven digital transformation makes it an attractive market for foreign investments in AI chipsets.As a result, companies like 𝑰𝒏𝒕𝒆𝒍 and 𝑨𝑴𝑫 have expanded their presence in Singapore, contributing to the growth of the AI chipset market.
𝑨𝒓𝒕𝒊𝒇𝒊𝒄𝒊𝒂𝒍 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆 𝑪𝒉𝒊𝒑𝒔𝒆𝒕 𝑴𝒂𝒓𝒌𝒆𝒕 𝑮𝒓𝒐𝒘𝒕𝒉 𝒊𝒏 𝒕𝒉𝒆 𝑼𝒏𝒊𝒕𝒆𝒅 𝑺𝒕𝒂𝒕𝒆𝒔
The United States continues to dominate the global AI chipset market, with Silicon Valley at the heart of innovation in AI and semiconductor industries. Leading firms like 𝑵𝑽𝑰𝑫𝑰𝑨, 𝑰𝒏𝒕𝒆𝒍, and 𝑮𝒐𝒐𝒈𝒍𝒆are driving the evolution of AI chipsets, making them more powerful and energy-efficient to meet the increasing demand from AI-centric applications.The US AI chipset market has seen strategic mergers and acquisitions aimed at consolidating expertise in AI and chip manufacturing. 𝑰𝒏𝒕𝒆𝒍’𝒔 acquisition of 𝑯𝒂𝒃𝒂𝒏𝒂 𝑳𝒂𝒃𝒔 for its AI-focused chipset technology is one such example, illustrating the competitive dynamics in the industry.
𝑨𝒓𝒕𝒊𝒇𝒊𝒄𝒊𝒂𝒍 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆 𝑪𝒉𝒊𝒑𝒔𝒆𝒕 𝑴𝒂𝒓𝒌𝒆𝒕 𝑻𝒓𝒆𝒏𝒅𝒔 𝒊𝒏 𝑬𝒖𝒓𝒐𝒑𝒆
Europe’s AI chipset market is witnessing steady growth, led by Germany, the UK, and France. The region’s focus on industrial automation, advanced driver-assistance systems (ADAS), and AI-driven manufacturing has spurred the demand for high-performance AI chipsets. Companies like 𝑨𝑹𝑴 𝑯𝒐𝒍𝒅𝒊𝒏𝒈𝒔 and 𝑨𝑺𝑴𝑳 are at the forefront of AI chipset development in Europe, particularly in the field of processor design and semiconductor fabrication.
𝐔𝐧𝐥𝐨𝐜𝐤 𝐈𝐧-𝐃𝐞𝐩𝐭𝐡 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬! 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐅𝐮𝐥𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐰𝐢𝐭𝐡 𝐉𝐮𝐬𝐭 𝐎𝐧𝐞 𝐂𝐥𝐢𝐜𝐤:https://www.maximizemarketresearch.com/request-sample/66849/
𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐂𝐡𝐢𝐩𝐬𝐞𝐭 𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧:
𝒃𝒚 𝑪𝒉𝒊𝒑 𝑻𝒚𝒑𝒆
CPU
GPU
FPGA
ASIC
Others
𝒃𝒚 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒚
Machine Learning
Natural Language Processing
Context-Aware Computing
Computer Vision
𝒃𝒚 𝑪𝒐𝒎𝒑𝒐𝒏𝒆𝒏𝒕
Hardware
Processor
Memory
Network
Software
𝒃𝒚 𝑪𝒐𝒎𝒑𝒖𝒕𝒊𝒏𝒈 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒚
Cloud AI Computing
Edge AI Computing
In 2023, the artificial intelligence chipset market was driven by the cloud AI computing segment, which is predicted to grow at a compound annual growth rate (CAGR) to surpass market value by 2030. Cloud AI computing technology is widely used in data centers and workstations. Operating costs have decreased as a result of cloud computing usage, and increased competence will fuel market expansion for AI chipsets. Global demand for cloud-based AI chipsets is also being boosted by increased investment in the construction of data centers across a number of industries. The development of a data center to manage massive amounts of company data and file storage is the main emphasis of the major players. For example, Amazon Web Services (AWS), the cloud computing division of the massive e-commerce company Amazon, is investing US$1.5 billion to establish two data centers.
𝒃𝒚 𝑬𝒏𝒅 𝑼𝒔𝒆
Healthcare
Manufacturing
Automotive
Retail & E-Commerce
Marketing
Consumer Electronics
BFSI
Others
𝐃𝐢𝐯𝐞 𝐃𝐞𝐞𝐩𝐞𝐫 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚! 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐅𝐮𝐥𝐥 𝐒𝐭𝐮𝐝𝐲 𝐨𝐧 𝐎𝐮𝐫 𝐖𝐞𝐛𝐩𝐚𝐠𝐞 𝐍𝐨𝐰:https://www.maximizemarketresearch.com/contact-us/
𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐂𝐡𝐢𝐩𝐬𝐞𝐭 𝐌𝐚𝐫𝐤𝐞𝐭 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬:
1.Nvidia Corporation
2.Intel Corporation
3.Xilinx Inc.
4.Samsung Electronics Co., Ltd
5.Micron Technology
6.Qualcomm Technologies
7.IBM Corporation
8.Google Inc.
9.Microsoft Corporation
10.Apple Inc.
11.Amazon Web Services (AWS)
12.Advanced Micro Devices, Inc.
13.Graphcore
14.General Vision
15.Mellanox Technologies
16.Huawei Technologies Co. Ltd
17.Fujitsu
18.Wave Computing
19.Mythic Inc.
20.Adapteva
21.Koniku
22.Tenstorrent
𝐆𝐨𝐭 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬? 𝐑𝐞𝐚𝐜𝐡 𝐎𝐮𝐭 𝐍𝐨𝐰 𝐟𝐨𝐫 𝐄𝐱𝐩𝐞𝐫𝐭 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐚𝐧𝐝 𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐜𝐨𝐩𝐞 𝐄𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐢𝐨𝐧:https://www.maximizemarketresearch.com/request-sample/66849/
𝐅𝐨𝐫 𝐚𝐧 𝐢𝐧-𝐝𝐞𝐩𝐭𝐡 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐜𝐥𝐢𝐜𝐤 𝐭𝐡𝐞 𝐩𝐫𝐨𝐯𝐢𝐝𝐞𝐝 𝐥𝐢𝐧𝐤:https://www.maximizemarketresearch.com/market-report/global-artificial-intelligence-chipset-market/66849/
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𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐌𝐚𝐱𝐢𝐦𝐢𝐳𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡:
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𝐀𝐛𝐨𝐮𝐭 𝐌𝐚𝐱𝐢𝐦𝐢𝐳𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡:
Maximize Market Research is a multifaceted market research and consulting company with professionals from several industries. Some of the industries we cover include medical devices, pharmaceutical manufacturers, science and engineering, electronic components, industrial equipment, technology and communication, cars and automobiles, chemical products and substances, general merchandise, beverages, personal care, and automated systems. To mention a few, we provide market-verified industry estimations, technical trend analysis, crucial market research, strategic advice, competition analysis, production and demand analysis, and client impact studies.
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