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FACIAL RECOGNITION MARKET 2020 – Industry Opportunities, Challenges, Value Chain and Sales Channels Analysis

facial recognition market is set to witness a healthy CAGR of 17.10% in the forecast period of 2019 to 2026. The report contains data of the base year 2018 and historic year 2017. This rise in the market can be attributed due to rising demand for surveillance systems for enhancing safety and security. This comprehensive report gives better market perspective in terms of future events, sales strategies, Investments, business marketing strategy, future products, new geographical markets, customer actions or behaviours with the help of 100+ market data Tables, Pie Charts, Graphs & Figures spread through Pages for easy understanding.

Get FREE Sample Report + All Related Graphs & Charts [email protected] https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-facial-recognition-market

Thinking One Step Ahead

In today’s competitive world you need to think one step ahead to chase your competitors, our research offers reviews about key players, major collaborations, merger & acquisitions along with trending innovation and business policies to present better insights to drive the business into right direction

What are the major market growth drivers?

Government initiatives are expected to contribute in driving the market growth

Increasing demand for surveillance systems to enhance safety and security is increasing the adoption of facial recognition systems

Increasing adoption of facial recognition in consumer electronics are fueling the market growth

Mandatory regulations imposed by government for the adoption of technology is driving the market growth

The 2020 Annual Facial recognition Market offers:

=> 100+ charts exploring and analyzing the Facial recognition market from critical angles including retail forecasts, consumer demand, production and more
=> 10+ profiles of top Facial recognition producing states, with highlights of market conditions and retail trends
=> Regulatory outlook, best practices, and future considerations for manufacturers and industry players seeking to meet consumer demand
=> Benchmark wholesale prices, market position, plus prices for raw materials involved in Facial recognition type

Key Segmentation: Facial recognition Market

By Technology (2D and 3D Face Recognition, Facial Analyst), Component (Hardware, Software), Application (Homeland Security, Criminal Investigation, ID Management, Physical Security, Intelligent Signage, Web Application, Business Intelligence, Photo Indexing and Sorting), End Users (Government & Transportation, Military & Defense, BSFI, Retail, Hospitality), Geography(North America, South America, Europe, Asia-Pacific, Middle East and Africa)

Rapid Business Growth Factors

In addition, the market is growing at a fast pace and the report shows us that there are a couple of key factors behind that. The most important factor that’s helping the market grow faster than usual is the tough competition.

Business Strategies

Key strategies in the Global Facial recognition Market that includes product developments, partnerships, mergers and acquisitions, etc discussed in this report. The potential of this enterprise section has been rigorously investigated in conjunction with main market challenges.

Key Market Competitors: Facial recognition Market

Few of the major competitors currently working in the global facial recognition market are NEC Technologies India Private Limited, Aware, Inc., Gemalto NV, Ayonix Face Technologies, Cognitec Systems GmbH, NVISO SA., Daon, StereoVision Imaging, Inc., Techno Brain., Neurotechnology, Innovatrics, id3 Technologies, IDEMIA, Animetrics, Crunchbase Inc., Aurora Computer Services Limited, Nuance Communications, Inc.,  FaceFirst

Key Developments in the Market:

In July 2019, the National Crime Records Bureau (NCRB) released a Request for Proposal for an Automated Facial Recognition System (AFRS) to be used by police officers across the country. Facial recognition system will help police to find missing people, unidentified dead bodies and to recognize criminals

In June 2019, Vuzix Blade and NNTC Digital will combine their techniques to assist law enforcement in Dubai. The idea is to fuse intelligent glasses to capture criminals with a facial recognition system. These glasses need no web link; each pair of glasses comes with a portable server. This partnership will help in enhancement of the product and will increase the grow

Some extract from Table of Contents

Overview of Global Facial recognition Market

Facial recognition Size (Sales Volume) Comparison by Type

Facial recognition Size (Consumption) and Market Share Comparison by Application

Facial recognition Size (Value) Comparison by Region

Facial recognition Sales, Revenue and Growth Rate

Facial recognition Competitive Situation and Trends

Strategic proposal for estimating availability of core business segments

Players/Suppliers, Sales Area

Analyze competitors, including all important parameters of Facial recognition

Global Facial recognition Manufacturing Cost Analysis

The most recent innovative headway and supply chain pattern mapping

Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe, MEA or Asia Pacific.

Free Table Of Contents Is Available [email protected] https://www.databridgemarketresearch.com/toc/?dbmr=global-facial-recognition-market

Why Is Data Triangulation Important In Qualitative Research?

This involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. Triangulation is one method used while reviewing, synthesizing and interpreting field data. Data triangulation has been advocated as a methodological technique not only to enhance the validity of the research findings but also to achieve ‘completeness’ and ‘confirmation’ of data using multiple methods

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