Market Synopsis
The data experts at Market Research Future Reports (MRFR) have thoroughly evaluated the global artificial intelligence (AI) chipset market and established that the market is likely to record a CAGR of 39.18%, holding a value of USD 38.46 billion by the end of 2025. The number of AI-enabled application is augmenting, which is a substantial factor prompting global artificial intelligence (AI) chipset market 2020. Further, attempts to improve the customer experience by employing AI-based products and services. In addition, the development of human-aware AI systems is likely to augment the opportunity of expansion. Besides, the integration of AI with computing equipment is projected to be a lucrative factor resulting in an upward trajectory of the market. It is to be accentuated here that AI chipset demands low power with higher computing efficiency to devices such as laptops, smartphones, and smart wearables. The integration of AI chips ensures the operational efficiency with advanced VR, AR and enhanced user experience. On the flip side, the dearth of technical prowess and AI standards are anticipated to limit the enlargement of the global artificial intelligence (AI) chipset market.
However, pandemic COVID-19 has resulted in changing market dynamics. The data experts at MRFR are evaluating factors and the aftermath of COVID-19. We will provide an impact analysis report on COVID-19.
Market Segmentation
The global artificial intelligence (AI) chipset market can be distinguished into technology, component, vertical, application, and geography.
On the basis of technology, the worldwide artificial intelligence chipset market can be distinguished into Natural Language Processing, Machine Learning, and others.
On the basis of component, the worldwide artificial intelligence chipset market can be distinguished into software, and hardware (CPU, Processors, GPU, FPGA, ASIC, Memory, and Network)
On the basis of vertical, the worldwide artificial intelligence chipset market can be distinguished into Automotive, Consumer Electronics, Retail, Media & Entertainment, IT & Telecommunication, Healthcare, and BFSI.
On the basis of application, the worldwide artificial intelligence chipset market can be distinguished into smart wearable, smartphones, robotics, security systems, automobile, and medical imaging.
On the basis of geography, the worldwide artificial intelligence chipset market can be distinguished into Asia-Pacific, North America, Europe, and Rest of the World (RoW).
Read more@ https://www.marketresearchfuture.com/reports/artificial-intelligence-chipset-market-4987
Regional Analysis
The global artificial intelligence (AI) chipset market is projected to be extremely lucrative during the assessment period. The geographical analysis of Asia-Pacific, North America, Europe, and Rest of the World (RoW) has been carried out. The data experts at MRFR have concluded that North America is estimated to reign the global artificial (AI) chipset market during the assessment period. The most substantial reason responsible for the apex position of North America is the presence of entrenched players like Amazon, IBM, and Google in the region. Further, the region comprises of the population with high purchasing power. Also, the region is experiencing a rise in the number of startups which is another factor of market growth. On the other hand, the APAC region is anticipated to show a substantial market enlargement during the assessment period. The developing nations like India, China and Japan are estimated to make an essential contribution to strengthen the regional market. The application of AI chipset is surging in sectors like automotive & transportation, finance, healthcare, retail, media & advertisement, and a few more.
However, the market trajectory has witnessed a change due to the outbreak of COVID-19.
Key Players
The renowned organizations of the worldwide AI chipset market are Qualcomm Technologies Inc. (US), NVIDIA Corporation (US), Intel Corporation (US), Advanced Micro Devices (US), Huawei Technologies Co. Ltd (China), Samsung Electronics Co., Ltd (South Korea), IBM Corporation (US), and Micron Technology (US).
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