Uniview Ranked 4th in the Global Video Surveillance Market

Market research organisation Omdia released their “2020 Global Intelligent Video Surveillance Information Service Report”.

Based on 2019 performance, Uniview ranked fourth in the global intelligent video surveillance market. Uniview stepped into the IP and intelligence market very early and led the large scale deployment of “Security + AI”. Over the past 5 years, Uniview rose continuously from 12th place in 2014, to 8th place in 2015, 7th place in 2016, to 6th in 2017 and since 2018, remains stable at 4th place since.

  • In the market of network security cameras: Uniview ranked 3rd
  • Back-end (encoder, recorders and VMS) market: Uniview ranked 3rd
  • Linux-based storage devices (NVR/DVR, and hybrid storage devices) market: Uniview ranked 3rd
  • VMS platform market: Uniview ranked 3rd
  • Servers, Storage and HCI market: Uniview was the 4th largest manufacturer
  • In the standalone video analytics software market: Uniview ranked 3rd

Omdia is a global leading technology research institution. The VSAIS annual report has been published for more than 10 years, and the integration and transformation of the consulting industry is reflected by institutional entities ranging from IMS and IHS Markit to Omdia. The statistics of intelligent security are in line with a new round of industry trends, involving traditional network cameras, Linux-based storage, VMS, video encoders, newly added external storage, and video analytics software sold separately without hardware binding.

Hermit Zhang, the president of Uniview, said:

“We are pleased about Omdia’s predictions and insights on industrial technology trends. In the past eight years (2011-2019), Uniview has become a world-class enterprise at the revenue scale and application technology level, and 90% of our IP cameras are AI cameras with intelligent functions. But at present, artificial intelligence has only replaced the word “artificial”. There’s still a long way to go in intelligent innovation. Taking machine learning as an example, it is mostly focused on people and vehicles, the front-end, back-end, and edge intelligence which are in a very narrow range. In the future, the real machine learning is to enter the whole spectrum and the whole natural state including animal bionics. In terms of organisational structure and innovation trial, Uniview is doing research work 5 to 10 years ahead of time to support a trillion level global AIoT market.”

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