Edge-based AI Market Innovations, Trends, Technology and Applications Market Report To 2022-2028

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.

Global Edge AI Software Market was valued at US$ 346.3Mn in 2017 and is expected to reach US$ 1986.3Mn by 2026, at a CAGR of 24.4% during a forecast period.

The objective of the report is to present a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, industry-validated market data and projections with a suitable set of assumptions and methodology.

Further, the report also focuses on the competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence.

The report also provides PEST analysis, PORTER’s analysis, SWOT analysis to address the question of shareholders to prioritizing the efforts and investment in the near future to the emerging segment in the Global Edge AI Software Market.The report study has analyzed revenue impact of covid-19 pandemic on the sales revenue of market leaders, market followers and disrupters in the report and same is reflected in our analysis.Artificial intelligence (AI) processing today is generally done in a cloud-based data centre.

The energy and utility vertical comprise high-stake, technology-driven operations, which depend on real-time insights to provide proactive monitoring and protection beside machinery and equipment failure.

Mainly operations happen at a remote area and lack reliable network infrastructure; edge AI software provides data analytics on edge devices to enable real-time response, which is essential for extreme production and safety.Region-wise, North America is the important income creating a region in the edge AI software market globally.

Artificial Intelligence (AI):Artificial Intelligence has made a lot of hype over the last decade.

Still, it remains one of the leading emerging technology developments because its significant impacts on how we live, work, and play are still in their inception.AI is now well-known for its presence in image and speech recognition, ride-sharing apps, mobile personal assistants, navigation apps, and various other applications.Besides that, Artificial Intelligence is to investigate interactions to discover previously undetected connections and assess facility demand in real-time to allocate resources and identify dynamic patterns among consumers.Machine Learning, a subset of AI, is used in a wide range of industries, resulting in a surge in the market for skilled workers.Read More: How to prepare your business for the impact of Artificial Intelligence2.

Before computers, most processes involved some human intervention.

you’d typically got to write code that might enable computerized or non-computerized processes to be done automatically without human intervention.

These processes could mean anything from automatic email replies to automated data analysis and automatic processing and financial transactions approval.Robotic Process Automation makes tasks considerably faster for the common consumer by making such approvals automatic supported certain conditions entered by the programmer.In sectors like financial services, robotic process automation can reduce the lean time to approve financial transactions online.

In cloud computing, data is uploaded to a centralized repository that may access it regardless of location.

Market Research Future has come up with the latest report on the “Global Edge AI Hardware Market 2020”.

The survey covered the impact of COVID-19 on everything, including the economy.

On this, MRFR reveals that the global market earlier achieved a valuation of USD 532.4 Million in 2018 and would now scale up to USD 1,681.8 Million by 2024 at a CAGR of 21.72% during the forecast period.Growth in Artificial Intelligence (AI) has created huge opportunities for semiconductor companies.

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 smartphones segment had the largest revenue share in the Edge AI hardware market in 2018 and is expected to continue its dominance throughout 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.Get Free Sample Report @ https://www.marketresearchfuture.com/sample_request/7836Key playersIntel Corporation (US), Samsung Electronics Co., Ltd. (South Korea), Google Inc. (US), NVIDIA Corporation (US), Qualcomm (US), MediaTek Inc. (Taiwan), Xilinx Inc. (US), and Microsoft Corporation (US).

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.Regional AnalysisThe global market for edge AI hardware is estimated to grow at a significant rate during the forecast period from 2019 to 2024.

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.