AI Chipset the Next Big Thing | Huawei, Qualcomm
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Artificial intelligence (AI) refers to the engineering and deployment of machines to enable them to perform tasks with intelligence almost like humans. Chipset is an integrated circuit (Microchips) that may be used together to serve a single function and therefore sold as one unit. Artificial intelligence chipset is likely to gain traction with the amalgamation of various technologies such as robotics, deep learning, querying, digital personal assistance, natural language processing, and context-aware processing to develop an AI-featured product. In the near future, AI is anticipated to have a crucial impact on multiple end-use applications such as healthcare diagnostics, driverless cars, and physical assistance in elder care.According to AMA, the market for AI Chipset is expected to register a CAGR of 35.5% during the forecast period to 2024. This growth is primarily driven by Increasingly Large and Complex Dataset Driving the Need for AI , Adoption of AI for Improving Consumer Services and Reducing Operational Costs , Growing Number of AI Applications and Improving Computing Power and Declining Hardware Cost.
Major Players: Huawei Technologies Co. Ltd (China) , Qualcomm, Inc. (United States) , FinGenius Ltd. (United Kingdom) , General Vision, Inc. (United States) , NVIDIA Corporation (United States) , Intel Corporation (United States) , MediaTek Inc. (Taiwan) , Samsung Electronics Co., Ltd (South Korea) , Advanced Micro Devices (United States) and Apple Inc. (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.
On 14 December 2018, MediaTek has announced the Helio P90, a premium AI chipset with ARCore and Google Lens support. and On 9 August 2018, Qualcomm has announced the Snapdragon 670, the latest chipset in the 600 series of mobile processor line up. The latest chipset potentials to bring the power of Artificial Intelligence on a mid-end smartphone.
• Increasingly Large and Complex Dataset Driving the Need for AI
• Adoption of AI for Improving Consumer Services and Reducing Operational Costs
• Growing Number of AI Applications
• Improving Computing Power and Declining Hardware Cost
• Low Return on Investment
• Creating Models and Mechanisms for AI
• Limited Structured training Data
• Increasing Focus on Developing Human-Aware AI Systems
• Bringing AI to Edge Devices
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Strategic Points Covered in Table of Content of Global AI Chipset Insights by Application, Product Type, Competitive Landscape & Regional Forecast 2025 Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Global AI Chipset Insights by Application, Product Type, Competitive Landscape & Regional Forecast 2025market. (Introduction, Scope of the Report)Chapter 2: Exclusive Summary
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