The new Artificial Intelligence Chipset Market report offers a comprehensive study of the current scenario of the market including major market dynamics. Also, it highlights the in-depth marketing research with the newest trends, drivers, and segments with reference to regional and country. Further, this report profiles top key players and analyze their market share, strategic development, and other development across the world.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the artificial intelligence chipset market include NVIDIA Corporation (NVIDIA) (US), Intel Corporation (Intel) (US), Xilinx, Inc. (Xilinx) (US), Samsung Electronics Co., Ltd. (Samsung) (South Korea), Micron Technology, Inc. (Micron) (US), Qualcomm Technologies, Inc. (US), International Business Machines Corporation (IBM) (US), Google Inc. (Google) (US), Microsoft Corporation (Microsoft) (US), Amazon Web Services (an Amazon.com, Inc. subsidiary) (AWS) (US), Advanced Micro Devices, Inc. (AMD) (US), General Vision, Inc. (US), Huawei Technologies Co., Ltd. (Huawei) (China), Graphcore Limited (Graphcore) (UK), MediaTek Inc (MediaTek) (Taiwan), Fujitsu Limited (Fujitsu)(Japan), Wave Computing Inc (Wave Computing)(US), Mythic (US), Zero ASIC (US), Koniku Inc (Koniku)(US), Tenstorrent Inc (Tenstorrent)(Canada), SambaNova Systems Inc (SambaNova)(US), Kalray Corporation (Kalray)(France), XMOS Limited (XMOS)(UK), GreenWaves Technologies (France). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
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The Artificial Intelligence Chipset market is expected to see favourable growth in the forecast period. The increasing use of AI to reduce the risk of human life can be seen in many industry areas. One among them is the concept of self-driving cars, which prevent accidents or can better tackle any such situation. The presence of a lot of data in the IT industry creates the need for efficiency in handling the mathematical and computational problems related to them. The key players in this field focus on developing AI chipsets and applications to withstand the challenge. The coming of autonomous systems such as robotics creates growth opportunities for AI chipsets in the future. With the growing popularity of the concept of smart cities/smart homes, government initiatives to promote AI start-ups will help to augment the market revenue. The integration of artificial intelligence with video surveillance and the government spending heavily on cyber security that combines them with real-time analytics and AI are potential factors for the growth of the Artificial Intelligence Chipset market.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of artificial intelligence chipset. The growth and trends of artificial intelligence chipset industry provide a holistic approach to this study.
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This section of the artificial intelligence chipset market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
- Machine Learning
- Natural Language Processing
- Context-Aware Computing
- Computer Vision
- Predictive Analysis
By End-User Industry
- Human Resources
This section covers the regional outlook, which accentuates current and future demand for the Artificial Intelligence Chipset market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
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