Artificial Intelligence Chipsets Market: Accelerating AI Applications (2023-2030)


The global Artificial Intelligence (AI) chipsets market is witnessing a promising growth curve, especially in the short-term outlook. The market insights indicate a surge in demand due to the proliferating userbase of smartphones and other smart devices. This press release aims to provide an overview of the factors driving the market, recent advancements, COVID-19 impact, and the key players contributing to the sector’s growth.

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Proliferating Userbase of Smartphones and Smart Devices

The exponential growth in data volume, driven by the widespread use of social media and e-commerce platforms, has necessitated high-speed processors. AI chipsets meet this demand for speedier data processing and machine learning capabilities. Big tech companies are investing in developing high-speed CPUs to cater to the increasing demand for computer vision and machine learning devices. Moreover, the rising number of smartphone and smart device users worldwide has further fueled the growth of the AI chipsets market. The integration of AI into smartphones and smart devices has made AI the most widely used technology in recent years.

Adoption of Cloud Computing

The increased adoption of cloud computing has been a significant driving factor for the AI chipsets market. These chipsets offer strong processing power, making them compatible with connected devices featuring AI capabilities, such as wearables, laptops, and cell phones. The technology enhances the performance of these devices and supports the seamless processing of data, including AR and VR technologies.

Abundant Growth Prospects in Emerging Markets

Developing nations like China, South Korea, Japan, and India have made significant advancements in AI technology. The technology’s adoption across various industry verticals, including media & advertising, finance, retail, healthcare, automotive & transportation, has opened up abundant growth prospects for the AI chipsets market. Companies are focusing on developing high-speed computer processors to support bulk data and applications, such as Intel Corporation’s Intel Nervana Neural Network Processors, designed to handle both inference and training workloads.

COVID-19 Impact

The COVID-19 pandemic had a negative impact on the AI chipsets market, disrupting production processes, supply chains, and limiting the adoption of AI by emerging industries. However, key players in the market are working on releasing cutting-edge AI-based solutions to address challenges and meet growing consumer demands. Certain sectors, like the medical device and healthcare manufacturing sectors, have benefited from increased adoption.

Quantum Computing Supporting Market Expansion

The rapid development of quantum computing has bolstered the expansion of the AI chipsets market. Businesses worldwide are leveraging quantum computing technology to tackle complex issues and perform analytical calculations rapidly. Quantum computing’s application in AI, machine learning, computer vision, big data, and AR/VR is expected to drive market growth further.

Growing Adoption of AI to Improve Consumer Services

The adoption of AI by businesses to lower operating costs and improve consumer services has gained significant traction. AI systems offer faster response times, personalized approaches, highly accurate data, and reduced redundancy, enhancing the customer experience. Businesses are increasingly using AI to make precise predictions based on customers’ preferences, leading to better products and services.

Challenges Faced by the Market

The growth of the AI chipsets market is restrained by the dearth of trained AI personnel. Companies require skilled employees with expertise in technologies like deep learning, image recognition, and cognitive computing to successfully integrate AI systems. The lack of professional standards and certifications in AI/ML technology further hinders the development of AI.

Machine Learning Dominance

Machine learning holds the greatest market share in the AI chipsets market, thanks to the massive availability of big data and its growing usage by businesses and government organizations. ML finds applications in various fields, including computational finance, predictive maintenance, fraud detection, and text processing.

Healthcare Sector as a Major End User

The healthcare sector is expected to drive significant demand for AI-enabled equipment, such as smart wearables and medical devices, as the industry focuses on early disease diagnosis and better patient care. The global geriatric population, changing lifestyles, and the rising prevalence of chronic diseases have contributed to the increased demand for AI in healthcare.

Regional Outlook

North America is currently leading the AI chipsets market in terms of revenue share, driven by established IT infrastructure and rising government R&D expenditures. Asia Pacific, especially countries like South Korea, Japan, and India, is anticipated to witness the fastest growth during the projected period. The region’s strong start-up environment and a growing pool of trained labor are expected to fuel market expansion.

Competitive Landscape

The AI chipsets market features prominent players like Koniku Inc, Tenstorrent Inc, SambaNova Systems Inc, Samsung Electronics Co., Ltd., Micron Technology, Inc., Microsoft Corporation, Amazon Web Services, Advanced Micro Devices, Inc., and many others. These players are continuously innovating and introducing cutting-edge AI chipsets to expand their product offerings.


The global Artificial Intelligence chipsets market is on a path of promising growth, driven by the proliferation of smart devices, the adoption of cloud computing, and the rapid advancements in emerging markets. However, challenges related to skilled personnel and the COVID-19 impact remain critical areas of focus. As quantum computing gains prominence and AI adoption continues to grow, the market is expected to witness significant expansion, particularly in regions like Asia Pacific.

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