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Facial recognition system is a combination of hardware and software, which identifies and verifies a person by comparing and analyzing the facial patterns of a person using deep learning. Moreover, facial recognition system is mainly used in security purposes, and also have application in different areas such as payment, access control, and others. Face recognition system uses four different steps to analyze and identify the person, which includes face detection, face alignment, feature extraction, and finally face recognition.

Increasing demand for surveillance systems to improve public safety and security is expected to increase adoption of facial recognition systems

Face recognition system find major application in public security using surveillance cameras to track the criminals. Moreover, growing concern regarding security threats has resulted to install face recognition system in most of the public places such as airport, metro stations, open market, country borders, and other public places, which helps to keep track on the criminals. For instance, in October 2017, three units of Panasonic's facial recognition systems was installed at Tokyo International Airport's immigration control. These were installed to verify traveler’s identity by comparing travelers face using the IC chip embedded in the person's passport with the photo taken by face recognition system. Furthermore increasing adoption face recognition system by government bodies and defense authorities is expected to drive the market growth over the forecast period 2019-2027.

Increasing adoption of face recognition system in mobile devices for authentication and data security purpose is expected to drive the market growth over forecast period

Maintaining information security in mobile devices has become increasingly important, owing to which some of the major mobile companies such as Apple Inc, Samsung Electronics, and OnePlus are focused on implementing face recognition system in their latest devices to protect and secure their user’s data. For Instance, in September 2017, Apple Inc launched IPhone X, which uses 3D facial recognition to unlock the phone and is considered to be more secured compared to password unlock system. Moreover, increasing online payment transaction from mobile devices has also led the app developers to develop face recognition app to authenticate users identity before making the payment. These factors are expected to drive demand for face recognition system over the forecast period.

Furthermore, face recognition system market is expected to exhibit double digit CAGR, as this system is evolving at a faster rate and is expected to be used for almost all the security purpose in the near future, which is expected to drive the market growth over the forecast period. For instance, in August 2018, The Tokyo Organizing Committee of the Olympic and Paralympic Games (Tokyo 2020) announced to implement face recognition system at Olympic and Paralympic Games Tokyo 2020 to verify the identity of athletes, officials, other staff members, and media representatives for security and safety purpose. The Tokyo Organizing Committee in partnership with NEC Corporation will install these face recognition system.

Face Recognition System Market Taxonomy

On the basis of technology, the global face recognition system market is segmented into

  • 2D Facial Recognition
  • 3D Facial Recognition
  • Facial Analytics

On the basis of component, the global face recognition system market is segmented into

  • Hardware
  • Software

On the basis of application, the global face recognition system market is segmented into

  • Security and Law Enforcement
  • Payments
  • Access Control
  • Photo Indexing and Sorting
  • Emotion Recognition
  • Others (Robotics and eLearning)

On the basis of region, the global face recognition system market is segmented into

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East
  • Africa

Major players operating in the global face recognition system market include 3M, Animetrics, Aware, Inc., Ayonix Corporation, Cognitec Systems, Daon, Gemalto NV, Herta Security, IDEMIA, KeyLemon S.A., NEC Corporation, Neurotechnology, NVISO SA., Panasonic i-PRO Sensing Solutions Co., Ltd., and Techno Brain


Research Methodology

Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:

  • Primary Research (Trade Surveys and Experts Interviews)
  • Desk Research
  • Proprietor Data Analytics Model

In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.

Data Triangulation Methodology | Coherent Market Insights

Coherent Market Insights desk research is based on a principle set of research techniques:

  • National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
  • Multinational level desk research: The research team keeps a track of multinational players, global regulatory bodies, global trade associations, and global organization.

Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:

  • Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
  • Trade association, National and international media and trade press.
  • Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
  • Scientific journals, and other technical magazines and whitepapers.

Market Analysis | Coherent Market Insights

Preliminary Data Mining

The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.

Data Standardization

Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.

Coherent Statistical model

We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:

  • Micro-economic indicators
  • Macro-economic indicators
  • Environmental indicators
  • Socio-political indicators
  • Technology indicators

Data Processing

Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.

Data Validation

This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:

  • It provides first-hand information on the market dynamics, outlook, and growth parameters.
  • Industry experts validates the estimates which helps the company to cement the on-going research study.
  • Primary research includes online surveys, face-to face interviews, and telephonic interviews.

The primary research is conducted with the ecosystem players including, but not limited to:

  • Raw Material Suppliers
  • Manufacturers
  • System Integrators
  • Distributors
  • End-users