COVID-19 Outbreak-Global AI-powered Video Analytics in CCTV Industry Market Report-Development Trends, Threats, Opportunities and Competitive Landscape in 2020

SKU ID : Maia-15853676 | Publishing Date : 25-Jun-2020 | No. of pages : 123

An artificial intelligence (AI) method called deep learning that uses deep or multi-layer neural networks is dramatically improving computer vision and video analytics. So much so that deep learning-based computer vision can now beat human capability in rapidly identifying objects in images.
The AI-powered Video Analytics in CCTV market revenue was xx.xx Million USD in 2019, and will reach xx.xx Million USD in 2025, with a CAGR of x.x% during 2020-2025.

Under COVID-19 outbreak globally, this report provides 360 degrees of analysis from supply chain, import and export control to regional government policy and future influence on the industry. Detailed analysis about market status (2015-2020), enterprise competition pattern, advantages and disadvantages of enterprise products, industry development trends (2020-2025), regional industrial layout characteristics and macroeconomic policies, industrial policy has also been included. From raw materials to end users of this industry are analyzed scientifically, the trends of product circulation and sales channel will be presented as well. Considering COVID-19, this report provides comprehensive and in-depth analysis on how the epidemic push this industry transformation and reform.

In COVID-19 outbreak, Chapter 2.2 of this report provides an analysis of the impact of COVID-19 on the global economy and the AI-powered Video Analytics in CCTV industry.
Chapter 3.7 covers the analysis of the impact of COVID-19 from the perspective of the industry chain.
In addition, chapters 7-11 consider the impact of COVID-19 on the regional economy.

The AI-powered Video Analytics in CCTV market can be split based on product types, major applications, and important countries as follows:

Key players in the global AI-powered Video Analytics in CCTV market covered in Chapter 12:
Qognify
Livedarshan
Silversparro
Videonetics
AllGoVision
Videonetics
ATSS
Cron-J
Intelligent Video Ltd.
IBM

In Chapter 4 and 14.1, on the basis of types, the AI-powered Video Analytics in CCTV market from 2015 to 2025 is primarily split into:
On-Premise
Cloud-Based Video Analytics

In Chapter 5 and 14.2, on the basis of applications, the AI-powered Video Analytics in CCTV market from 2015 to 2025 covers:
Theft Prevention
Retail
Manufacturing and Industry
Public Safety
Transportation
Healthcare

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2025) of the following regions are covered in Chapter 6, 7, 8, 9, 10, 11, 14:
North America (Covered in Chapter 7 and 14)
United States
Canada
Mexico
Europe (Covered in Chapter 8 and 14)
Germany
UK
France
Italy
Spain
Russia
Others
Asia-Pacific (Covered in Chapter 9 and 14)
China
Japan
South Korea
Australia
India
Southeast Asia
Others
Middle East and Africa (Covered in Chapter 10 and 14)
Saudi Arabia
UAE
Egypt
Nigeria
South Africa
Others
South America (Covered in Chapter 11 and 14)
Brazil
Argentina
Columbia
Chile
Others

Years considered for this report:


Historical Years:

2015-2019

Base Year:

2019

Estimated Year:

2020

Forecast Period:

2020-2025

Frequently Asked Questions

This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
  • By product type
  • By End User/Applications
  • By Technology
  • By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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