Top Artificial Intelligence (AI) Hardware Companies

Skyquest Technology's expert advisors have carried out comprehensive research and identified these companies as industry leaders in the Artificial Intelligence (AI) Hardware Market. This Analysis is based on comprehensive primary and secondary research on the corporate strategies, financial and operational performance, product portfolio, market share and brand analysis of all the leading Artificial Intelligence (AI) Hardware industry players.

Artificial Intelligence (AI) Hardware Market Competitive Landscape

NVIDIA offers its expertise in GPU systems and accelerators designed specifically for the AI industry. These GPUs are optimized for parallel processing, making them ideal for training and inference tasks in deep learning models. Meanwhile, AWS brings its extensive cloud computing infrastructure and global reach to the partnership, providing scalable computing resources and storage solutions to support AI performance. Nvidia and AWS are integrating each of their technologies to create a comprehensive AI infrastructure solution for the cloud. This solution allows enterprises and organizations to leverage NVIDIA's high-performance GPUs in AWS' cloud environment and enables seamless deployment and scaling of AI applications. Customers can access NVIDIA GPU instances on AWS to train AI models that produce very hard for the computing power required.

Top Player’s Company Profiles

  • Apple (US)
  • Huawei Technologies (China)
  • Samsung Electronics (South Korea)
  • IBM (US)
  • Micron Technology (US)
  • Xilinx (US)
  • Google (US)
  • Microsoft (US)
  • AMD (US)
  • Inspur Group
  • Graphcore

REQUEST FOR SAMPLE

Want to customize this report? REQUEST FREE CUSTOMIZATION

FAQs

Artificial Intelligence (AI) Hardware Market size was valued at USD 27.14 Billion in 2024 and is poised to grow from USD 31.35 Billion in 2025 to USD 99.29 Billion by 2033, growing at a CAGR of 15.5% during the forecast period (2026–2033).

Currently, the global artificial intelligence (AI) hardware market is highly saturated with Nvidia accounting for more than 80% share and the rest of 20% taken by other leading chip manufacturers. New companies have a shot at penetrating the market if they raise good capital for the R&D of novel AI hardware components. From AI robots to simple AI chatbots, all AI-powered applications and devices will utilize hardware in some form, which is why companies need to diversify their product portfolio. Innovation will be the key differentiating factor for all artificial intelligence (AI) hardware companies. 'NVIDIA (United States)', 'Advanced Micro Devices (AMD) (United States) ', 'Intel Corporation (United States) ', 'Qualcomm Technologies, Inc. (United States) ', 'Huawei Technologies Co., Ltd. (China) ', 'SambaNova Systems (United States) ', 'Tenstorrent (Canada) ', 'Groq (United States) ', 'Celestial AI (United States) ', 'Enfabrica (United States) ', 'Hailo (Israel) ', 'Mythic (United States) ', 'Graphcore (United Kingdom) ', 'Cerebras Systems (United States) ', 'Blaize (United States) ', 'Kneron (United States) ', 'Flex Logix Technologies (United States) ', 'Gyrfalcon Technology Inc. (United States) ', 'Syntiant (United States) ', 'Edgecortix (Japan)'

As AI technology advances, its algorithms are becoming more and more complex, demanding more computational power. Hardware made specifically to handle such complex AI processing will be high in demand as AI adoption surges in the future and this will primarily drive market growth as well.

Energy Efficient Hardware: Artificial intelligence algorithms are highly complex and therefore draw out huge amounts of power from AI hardware. Artificial intelligence (AI) hardware companies should focus on developing new hardware capable of handling complex processing with less power to provide efficiency for users.

The presence of AI hardware giants such as Nvidia, Intel, and AMD in North America allows it to hold a dominant stance. Rapid adoption of AI across multiple industry verticals and high investments in the R&D of novel AI hardware solutions will also help bolster the dominance of North America. An increasing number of start-ups focusing on AI hardware development will also provide new opportunities for artificial intelligence (AI) hardware companies in this region. Canada and the United States are estimated to be the leading countries in North America across the study period.

Request Free Customization

Want to customize this report? This report can be personalized according to your needs. Our analysts and industry experts will work directly with you to understand your requirements and provide you with customized data in a short amount of time. We offer $1000 worth of FREE customization at the time of purchase.

logo-images

Feedback From Our Clients

Artificial Intelligence (AI) in Hardware Market
Artificial Intelligence (AI) Hardware Market

Report ID: SQMIG45I2192

sales@skyquestt.com
USA +1 351-333-4748

BUY NOW GET FREE SAMPLE