Global Facial Recognition Market – Factors Driving Growth Post 2022

The Facial Recognition Market statistical report, published by Market Research Future contains succinct information on the facial recognition market, segmented by component hardware and software and forecast from 2015-2022. The various factors driving the facial recognition market are increasing criminal activities in government and non-government sector demanding for facial recognition technology solutions, increasing security measures at ATMs and other financial institutes, increasing implementation of facial recognition system at airports and super-markets, andhigh adoption of facial recognition by law enforcement agencies for better results in criminal investigations.

The global facial recognition market is estimated to grow at a promising rate in upcoming years. North America is the leading region among Europe, Asia-Pacific and Rest of the world. Asia-Pacific is the fastest growing region, which is estimated to show high growth during forecast period. Increasing technology adoption and increasing criminal activities in the region is expected to drive the growth of facial recognition market in the region. Whereas lack of technical awareness about facial biometrics process and benefits is the major reason behind the slow growth in the region.

Hardware Facial Recognition Market is expected to reach USD 5.89 Billion by 2022 with a CAGR of 18.83%

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Table of Contents

  1. Info graphics Information

1.1          Global Facial Recognition Market, By Component, 2015 VS 2022 (USD Billion)

  1. Introduction

3.Global Facial Recognition Market, By Component, Market Data

List of Tables

Table 1     Global Facial Recognition Market, By Component, 2015-2022 (USD Billion) ………..5

List of Figures

Figure 1   Global Facial Recognition Market, By Component, 2015-2022, (USD Billion) …………..6

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We are thankful for the support and assistance from “Global Facial Recognition Market Component Segment Outlook-Forecast to 2022chain related technical experts and marketing experts during Research Team survey and interviews.

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