COVID-19 Impact on Edge AI Software Market 2020-2021: Google, Microsoft, AWS, IBM, Nutanix, TIBCO, Octonion, SWIM AI, Imagibob, Anagog, Veea, Foghorn Systems, Bragi, Invision AI, Tact AI and Others.

According to Market Study Report, Edge AI Software Market provides a comprehensive analysis of the Edge AI Software Market segments, including their dynamics, size, growth, regulatory requirements, competitive landscape, technological trends and emerging opportunities of global industry. This report also provides market landscape and market share information in the Edge AI Software Market. An exclusive data offered in this report is collected by research and industry experts team. This report spread across 62 pages, profiling 16 companies and supported with 08 tables and 33 figures are now available in this research.

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The impact of COVID-19 on enterprises is transforming their business models. Every business is affected due to novel coronavirus. Organizations are struggling to revamp their supply chains to make working environment safe. To mitigate pandemic risks, organizations around the world are taking adequate measures such as remote working capabilities, remote asset maintenance and monitoring, plant automation, and tele-health.

Top Key Players Profiled in the Edge AI Software Market:
o Google (US)
o Microsoft (US)
o AWS (US)
o IBM (US)
o Nutanix (US)
o TIBCO (US)
o Octonion (US)
o SWIM AI (US)
o Imagibob (US)
o Anagog (Israel)
o Veea (US)
o Foghorn Systems (US)
o Xnor.AI (US)
o Bragi (US)
o Invision AI (US)
o Tact AI (US)

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"Remote monitoring and predictive maintenance segment to show high growth rate during the forecast period"
The remote monitoring and predictive maintenance segment is estimated to grow at a high CAGR in the edge AI market during the forecast period. Remote monitoring and predictive maintenance utilize IoT to track, monitor, and diagnose machines and processes. Most of the large enterprises deploy edge AI software solutions to generate efficiencies and improve performance with access to vital data in real time.

"Video and image recognition segment captured the highest market share in 2020"
The video and image recognition segment held the largest market share in the edge AI market. Video and image recognition play a crucial role in curbing the pandemic effects. Researchers are making use of AI tools, such as ML, NLP, and computer vision to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions will be useful for tracing, diagnosing, predicting, and possibly treating COVID-19 patients and help in managing socio-economic impacts.

"The healthcare segment to record higher investment and growth in 2019"
The healthcare systems need scalable and secured infrastructure to manage and maintain patient information with high speed and flexibility. During the COVID-19 pandemic, there is a high need for technologies such as edge AI for the analysis of patients' data. As the number of electronic health records is increasing, healthcare providers are expanding the use of scalable and highly secure storage AI solutions to cater to a large number of cases.

Breakdown of primary participants' profile:
o By Company Type: Tier 1 - 15%, Tier 2 - 42%, and Tier 3 - 43%
o By Designation: C-level - 62%, Directors - 20%, and Others - 18%
o By Region: North America - 40%,Europe- 20%, APAC- 30%,MEA- 5%, and Latin America - 5%

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Reason to access this report:
The report is expected to help the market leaders/new entrants in this market by providing them information on the closest approximations of the revenue numbers for the overall impact of COVID-19 on the edge AI market and its segments. This report is also expected to help stakeholders understand the competitive landscape and gain insights to improve the position of their businesses and to plan suitable go-to-market strategies.

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