In today’s fast-paced digital landscape, businesses need real-time decision-making capabilities, enhanced efficiency, and seamless automation to stay competitive. AI on the Edge is emerging as a game-changer, enabling enterprises to process data closer to the source, reduce latency, and optimize performance. By leveraging Edge AI, businesses can unlock new levels of agility, intelligence, and responsiveness.
What is AI on the Edge?
AI on the Edge refers to deploying artificial intelligence models directly on edge devices, such as IoT sensors, industrial machines, or mobile devices, instead of relying on cloud-based processing. This reduces dependence on centralized data centers, ensuring faster insights, reduced operational costs, and enhanced security
Real-World Applications of Edge AI
Future-Proof Your Business with Edge AI
The future belongs to businesses that can process, analyze, and act on data instantaneously. By implementing AI on the Edge, companies can drive innovation, streamline operations, and deliver enhanced user experiences.
Are you ready to embrace Edge AI for a smarter, more agile business? Start integrating AI-powered edge solutions today and stay ahead of the competition!
Future-Proof Your Business with Edge AI
The future belongs to businesses that can process, analyze, and act on data instantaneously. By implementing AI on the Edge, companies can drive innovation, streamline operations, and deliver enhanced user experiences.
Are you ready to embrace Edge AI for a smarter, more agile business? Start integrating AI-powered edge solutions today and stay ahead of the competition!
Edge AI Hardware Market 2021-2027New Study Reports " The Global Edge AI hardware Market Industrial Analysis, Market Dynamics, Growth Analysis, Regional Analysis, Size, Share, and Forecast 2021- 2027" has been Added on MarketResearchFuture.Market OverviewThe study of market analysis of the global Edge AI hardware market focuses on the key elements and the market dynamics of a specific market within that particular industry.
The survey report analyses the elements, such as the strengths, weaknesses, opportunities, and threats of every individual manufacturing company.
The documentation is prepared by investigating the company’s activities related to their planning, decision making, purchase, capital investment, innovation, workforce, business expansion strategy, facility expansion, promotional activities, and many other aspects of a company.Market Dynamics of The Global Edge AI hardware MarketThe rising awareness among the global population for the product benefit tends to increase the production of a product of the global Edge AI hardware market in a positive way.
Edge AI processing involves low latency which is an advantage and hence is contributing to growth of the market.
Edge AI processing helps reducing the data travelling time so that companies can analyze data on real-time basis.
The other prominent companies in the edge AI hardware market include Huawei Technologies Co., Ltd. (China), Imagination Technologies Limited (UK), and Cambricon Technologies (China) among others and more.This report covers the sales volume, price, revenue, gross margin, manufacturers, suppliers, distributors, intermediaries, customers, historical growth and future perspectives in the Edge AI Hardware.Complete Report Details@ https://www.marketresearchfuture.com/reports/edge-ai-hardware-market-7836SegmentationBy component, the market is segmented into CPU, GPU, ASIC, and others.
Market HighlightsThe global edge AI hardware market registered a transaction of 532.4 million units in 2020 and is expected to reach 1,681.8 million units by the end of forecast period with a CAGR of 21.72%.
Growth in Artificial Intelligence (AI) has created huge opportunities for semiconductor companies.
Edge AI processing involves low latency which is an advantage and hence is contributing to growth of the market.Edge AI processing helps reducing the data travelling time so that companies can analyze data on real-time basis.
AI hardware is the core enabler for various solutions such as facial recognition and virtual assistant managing homes.SegmentationBy component, the market is segmented into CPU, GPU, ASIC, and others.
The camera segment is expected to grow at a significant CAGR during the forecast period.By power consumption, the edge AI hardware market is segmented into less than 1 W, 1–3 W, 3–5 W, 5–10 W, and more than 10 W. By process, the edge AI hardware market is divided into training and inference.By vertical, the market is segmented into consumer electronics, smart home, automotive & transportation, government, healthcare, aerospace & defense, construction, and others.
The consumer electronics sector dominated the edge AI hardware market in 2018 and is expected to contribute a significant revenue share to the market during the forecast period.
