AI Chipset Market to See Huge Growth by 2026 | Qualcomm, Huawei Technologies, FinGenius
Research Reports
Sep 07, 2021
Latest business intelligence report released on Global AI Chipset Market, covers different industry elements and growth inclinations that helps in predicting market forecast. The report allows complete assessment of current and future scenario scaling top to bottom investigation about the market size, % share of key and emerging segment, major development, and technological advancements. Also, the statistical survey elaborates detailed commentary on changing market dynamics that includes market growth drivers, roadblocks and challenges, future opportunities, and influencing trends to better understand AI Chipset market outlook.
List of Key Players Profiled in the study includes market overview, business strategies, financials, Development activities, Market Share and SWOT analysis:
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), Apple Inc. (United States)
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Brief Overview on AI Chipset:
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.
Key Market Trends:
Opportunities:
Increasing Focus on Developing Human-Aware AI Systems
Bringing AI to Edge Devices
Market Growth Drivers:
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
Challenges:
Low Return on Investment
Creating Models and Mechanisms for AI
Limited Structured training Data
Segmentation of the Global AI Chipset Market:
by Type (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), Application (Smartphones, Smart Wearable, Robotics, Automobile, Medical Imaging, Security Systems), Technology (Neural Networks, Natural Language Processing, Deep Learning, Facial Recognition, Digital Voice Assistant), Component (Hardware, Software, Service), End User (Consumer Electronics, Healthcare, IT & Telecommunication, Banking and Financial Service, Automotive, Media & Entertainment)
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Geographically, the following regions together with the listed national/local markets are fully investigated:
• APAC (Japan, China, South Korea, Australia, India, and Rest of APAC; Rest of APAC is further segmented into Malaysia, Singapore, Indonesia, Thailand, New Zealand, Vietnam, and Sri Lanka)
• Europe (Germany, UK, France, Spain, Italy, Russia, Rest of Europe; Rest of Europe is further segmented into Belgium, Denmark, Austria, Norway, Sweden, The Netherlands, Poland, Czech Republic, Slovakia, Hungary, and Romania)
• North America (U.S., Canada, and Mexico)
• South America (Brazil, Chile, Argentina, Rest of South America)
• MEA (Saudi Arabia, UAE, South Africa)
Furthermore, the years considered for the study are as follows:
Historical data – 2016-2020
The base year for estimation – 2020
Recent Estimated Year – 2021
Forecast period** – 2021 to 2026 [** unless otherwise stated]
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Summarized Extracts from TOC of Global AI Chipset Market Study
Chapter 1: Exclusive Summary of the AI Chipset market
Chapter 2: Objective of Study and Research Scope the AI Chipset market
Chapter 3: Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis
Chapter 4: Market Segmentation by Type, End User and Region/Country 2016-2026
Chapter 5: Decision Framework
Chapter 6: Market Dynamics- Drivers, Trends and Challenges
Chapter 7: Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 8: Appendix, Methodology and Data Source
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