Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Biometrics in Hospitality Market by Type (Fingerprint Identification, Facial Recognition, Vein Recognition), By Application (Hospitality, Online Retail, Offline Retail) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Biometrics in Hospitality Market by Type (Fingerprint Identification, Facial Recognition, Vein Recognition), By Application (Hospitality, Online Retail, Offline Retail) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 301106 4200 Service & Software 377 167 Pages 4.8 (46)
                                          

Market Overview:


The global biometrics in hospitality market is expected to grow at a CAGR of over 16% during the forecast period from 2018 to 2030. The increasing demand for enhanced security and convenience across the hospitality sector is one of the key factors driving the growth of this market. In addition, the increasing adoption of biometric technologies for retail applications is also contributing to the growth of this market. On the basis of type, fingerprint identification is currently leading the global biometrics in hospitality market and is expected to maintain its dominance duringthe forecast period. This can be attributed to its high accuracy and reliability as comparedto otherbiometric technologies.


Global Biometrics in Hospitality Industry Outlook


Product Definition:


The definition of biometrics is the use of technology to identify individuals by their physical or behavioral characteristics. In hospitality, biometrics can be used for a variety of purposes such as verifying guests' identities, tracking employee access, and preventing fraud. Biometrics can help improve security in a number of ways, including by reducing the chances that someone will be able to impersonate another person or gain unauthorized access to sensitive information or areas.


Fingerprint Identification:


Fingerprint identification is a technology that involves the use of patterns in fingerprints for verification purposes. The technology is gaining popularity as an additional security measure to access personal and sensitive information stored on devices.


The biometric systems used in hospitals are based on fingerprint identification, owing to its high degree of accuracy, speed, and immunity against false authentication.


Facial Recognition:


Facial recognition is the technology that enables a computer to identify and verify the identity of an individual by comparing their facial images. It uses features such as eyes, nose, mouth and chin of an individual for verification. The technology has been used in security systems where it helps in opening doors using biometrics or accessing card-based access control systems.


Application Insights:


The application segment is segregated into two broad categories, namely hospitality and offline retail. The hospitality segment includes hotels, restaurants and leisure clubs. Biometric technologies are widely used for identity proofing at the check-in stage as well as for access control at the door of hotel rooms. Fingerprint identification is considered to be one of the most effective ways to identify individuals on account of its speed and accuracy. Vein recognition is also expected to witness a significant growth owing to its high level of accuracy in comparison with facial recognition or fingerprint identification techniques.


Regional Analysis:


North America dominated the global market in 2017. This can be attributed to early adoption of biometric technologies by various service providers and consumers in this region. The U.S., being one of the most visited countries, has been using biometrics for identification at various entry points, such as airports and immigration gates since past few years. Moreover, North America is home to a large number of prominent hospitality companies that are aggressively adopting modern technologies across all operations including customer services and sales & marketing departments to enhance their business performance.


Asia Pacific is expected to witness significant growth over the forecast period owing to increasing government initiatives for implementation of advanced security systems across key infrastructure facilities in India such as airports, railway stations, etc., thereby driving demand for products from hospitality sector also known as Hospitality IT & telecom industries).


Growth Factors:


  • Increasing demand for safety and security in the hospitality sector
  • Growing adoption of biometric technology by hotels, resorts, and other hospitality establishments
  • Proliferation of mobile devices and apps that support biometric authentication
  • Advances in fingerprint scanning technology that make it more accurate and user-friendly
  • Increased awareness about the benefits of using biometrics for identity verification

Scope Of The Report

Report Attributes

Report Details

Report Title

Biometrics in Hospitality Market Research Report

By Type

Fingerprint Identification, Facial Recognition, Vein Recognition

By Application

Hospitality, Online Retail, Offline Retail

By Companies

3M Cogent, Crossmatch, FUJITSU, M2SYS, NEC

Regions Covered

North America, Europe, APAC, Latin America, MEA

Base Year

2021

Historical Year

2019 to 2020 (Data from 2010 can be provided as per availability)

Forecast Year

2030

Number of Pages

167

Number of Tables & Figures

117

Customization Available

Yes, the report can be customized as per your need.


Global Biometrics in Hospitality Market Report Segments:

The global Biometrics in Hospitality market is segmented on the basis of:

Types

Fingerprint Identification, Facial Recognition, Vein Recognition

The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.

Applications

Hospitality, Online Retail, Offline Retail

The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.

Some of the companies that are profiled in this report are:

  1. 3M Cogent
  2. Crossmatch
  3. FUJITSU
  4. M2SYS
  5. NEC

Global Biometrics in Hospitality Market Overview


Highlights of The Biometrics in Hospitality Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Fingerprint Identification
    2. Facial Recognition
    3. Vein Recognition
  1. By Application:

    1. Hospitality
    2. Online Retail
    3. Offline Retail
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Biometrics in Hospitality Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.

Regional Analysis

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

Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.

The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.

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Global Biometrics in Hospitality Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


Biometrics is the use of physical characteristics to identify or authenticate a person. Common biometric identifiers include fingerprints, facial features, and iris scans.

Some of the major companies in the biometrics in hospitality market are 3M Cogent, Crossmatch, FUJITSU, M2SYS, NEC.

The biometrics in hospitality market is expected to register a CAGR of 16%.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Biometrics in Hospitality Market Overview    4.1 Introduction       4.1.1 Market Taxonomy       4.1.2 Market Definition       4.1.3 Macro-Economic Factors Impacting the Market Growth    4.2 Biometrics in Hospitality Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 Biometrics in Hospitality Market - Supply Chain Analysis       4.3.1 List of Key Suppliers       4.3.2 List of Key Distributors       4.3.3 List of Key Consumers    4.4 Key Forces Shaping the Biometrics in Hospitality Market       4.4.1 Bargaining Power of Suppliers       4.4.2 Bargaining Power of Buyers       4.4.3 Threat of Substitution       4.4.4 Threat of New Entrants       4.4.5 Competitive Rivalry    4.5 Global Biometrics in Hospitality Market Size & Forecast, 2018-2028       4.5.1 Biometrics in Hospitality Market Size and Y-o-Y Growth       4.5.2 Biometrics in Hospitality Market Absolute $ Opportunity

Chapter 5 Global Biometrics in Hospitality Market Analysis and Forecast by Type
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities by Type
      5.1.2 Basis Point Share (BPS) Analysis by Type
      5.1.3 Absolute $ Opportunity Assessment by Type
   5.2 Biometrics in Hospitality Market Size Forecast by Type
      5.2.1 Fingerprint Identification
      5.2.2 Facial Recognition
      5.2.3 Vein Recognition
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global Biometrics in Hospitality Market Analysis and Forecast by Applications
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities by Applications
      6.1.2 Basis Point Share (BPS) Analysis by Applications
      6.1.3 Absolute $ Opportunity Assessment by Applications
   6.2 Biometrics in Hospitality Market Size Forecast by Applications
      6.2.1 Hospitality
      6.2.2 Online Retail
      6.2.3 Offline Retail
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global Biometrics in Hospitality Market Analysis and Forecast by Region
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities by Region
      7.1.2 Basis Point Share (BPS) Analysis by Region
      7.1.3 Absolute $ Opportunity Assessment by Region
   7.2 Biometrics in Hospitality Market Size Forecast by Region
      7.2.1 North America
      7.2.2 Europe
      7.2.3 Asia Pacific
      7.2.4 Latin America
      7.2.5 Middle East & Africa (MEA)
   7.3 Market Attractiveness Analysis by Region

Chapter 8 Coronavirus Disease (COVID-19) Impact 
   8.1 Introduction 
   8.2 Current & Future Impact Analysis 
   8.3 Economic Impact Analysis 
   8.4 Government Policies 
   8.5 Investment Scenario

Chapter 9 North America Biometrics in Hospitality Analysis and Forecast
   9.1 Introduction
   9.2 North America Biometrics in Hospitality Market Size Forecast by Country
      9.2.1 U.S.
      9.2.2 Canada
   9.3 Basis Point Share (BPS) Analysis by Country
   9.4 Absolute $ Opportunity Assessment by Country
   9.5 Market Attractiveness Analysis by Country
   9.6 North America Biometrics in Hospitality Market Size Forecast by Type
      9.6.1 Fingerprint Identification
      9.6.2 Facial Recognition
      9.6.3 Vein Recognition
   9.7 Basis Point Share (BPS) Analysis by Type 
   9.8 Absolute $ Opportunity Assessment by Type 
   9.9 Market Attractiveness Analysis by Type
   9.10 North America Biometrics in Hospitality Market Size Forecast by Applications
      9.10.1 Hospitality
      9.10.2 Online Retail
      9.10.3 Offline Retail
   9.11 Basis Point Share (BPS) Analysis by Applications 
   9.12 Absolute $ Opportunity Assessment by Applications 
   9.13 Market Attractiveness Analysis by Applications

Chapter 10 Europe Biometrics in Hospitality Analysis and Forecast
   10.1 Introduction
   10.2 Europe Biometrics in Hospitality Market Size Forecast by Country
      10.2.1 Germany
      10.2.2 France
      10.2.3 Italy
      10.2.4 U.K.
      10.2.5 Spain
      10.2.6 Russia
      10.2.7 Rest of Europe
   10.3 Basis Point Share (BPS) Analysis by Country
   10.4 Absolute $ Opportunity Assessment by Country
   10.5 Market Attractiveness Analysis by Country
   10.6 Europe Biometrics in Hospitality Market Size Forecast by Type
      10.6.1 Fingerprint Identification
      10.6.2 Facial Recognition
      10.6.3 Vein Recognition
   10.7 Basis Point Share (BPS) Analysis by Type 
   10.8 Absolute $ Opportunity Assessment by Type 
   10.9 Market Attractiveness Analysis by Type
   10.10 Europe Biometrics in Hospitality Market Size Forecast by Applications
      10.10.1 Hospitality
      10.10.2 Online Retail
      10.10.3 Offline Retail
   10.11 Basis Point Share (BPS) Analysis by Applications 
   10.12 Absolute $ Opportunity Assessment by Applications 
   10.13 Market Attractiveness Analysis by Applications

Chapter 11 Asia Pacific Biometrics in Hospitality Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific Biometrics in Hospitality Market Size Forecast by Country
      11.2.1 China
      11.2.2 Japan
      11.2.3 South Korea
      11.2.4 India
      11.2.5 Australia
      11.2.6 South East Asia (SEA)
      11.2.7 Rest of Asia Pacific (APAC)
   11.3 Basis Point Share (BPS) Analysis by Country
   11.4 Absolute $ Opportunity Assessment by Country
   11.5 Market Attractiveness Analysis by Country
   11.6 Asia Pacific Biometrics in Hospitality Market Size Forecast by Type
      11.6.1 Fingerprint Identification
      11.6.2 Facial Recognition
      11.6.3 Vein Recognition
   11.7 Basis Point Share (BPS) Analysis by Type 
   11.8 Absolute $ Opportunity Assessment by Type 
   11.9 Market Attractiveness Analysis by Type
   11.10 Asia Pacific Biometrics in Hospitality Market Size Forecast by Applications
      11.10.1 Hospitality
      11.10.2 Online Retail
      11.10.3 Offline Retail
   11.11 Basis Point Share (BPS) Analysis by Applications 
   11.12 Absolute $ Opportunity Assessment by Applications 
   11.13 Market Attractiveness Analysis by Applications

Chapter 12 Latin America Biometrics in Hospitality Analysis and Forecast
   12.1 Introduction
   12.2 Latin America Biometrics in Hospitality Market Size Forecast by Country
      12.2.1 Brazil
      12.2.2 Mexico
      12.2.3 Rest of Latin America (LATAM)
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 Latin America Biometrics in Hospitality Market Size Forecast by Type
      12.6.1 Fingerprint Identification
      12.6.2 Facial Recognition
      12.6.3 Vein Recognition
   12.7 Basis Point Share (BPS) Analysis by Type 
   12.8 Absolute $ Opportunity Assessment by Type 
   12.9 Market Attractiveness Analysis by Type
   12.10 Latin America Biometrics in Hospitality Market Size Forecast by Applications
      12.10.1 Hospitality
      12.10.2 Online Retail
      12.10.3 Offline Retail
   12.11 Basis Point Share (BPS) Analysis by Applications 
   12.12 Absolute $ Opportunity Assessment by Applications 
   12.13 Market Attractiveness Analysis by Applications

Chapter 13 Middle East & Africa (MEA) Biometrics in Hospitality Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA) Biometrics in Hospitality Market Size Forecast by Country
      13.2.1 Saudi Arabia
      13.2.2 South Africa
      13.2.3 UAE
      13.2.4 Rest of Middle East & Africa (MEA)
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Middle East & Africa (MEA) Biometrics in Hospitality Market Size Forecast by Type
      13.6.1 Fingerprint Identification
      13.6.2 Facial Recognition
      13.6.3 Vein Recognition
   13.7 Basis Point Share (BPS) Analysis by Type 
   13.8 Absolute $ Opportunity Assessment by Type 
   13.9 Market Attractiveness Analysis by Type
   13.10 Middle East & Africa (MEA) Biometrics in Hospitality Market Size Forecast by Applications
      13.10.1 Hospitality
      13.10.2 Online Retail
      13.10.3 Offline Retail
   13.11 Basis Point Share (BPS) Analysis by Applications 
   13.12 Absolute $ Opportunity Assessment by Applications 
   13.13 Market Attractiveness Analysis by Applications

Chapter 14 Competition Landscape 
   14.1 Biometrics in Hospitality Market: Competitive Dashboard
   14.2 Global Biometrics in Hospitality Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details â€“ Overview, Financials, Developments, Strategy) 
      14.3.1 3M Cogent
      14.3.2 Crossmatch
      14.3.3 FUJITSU
      14.3.4 M2SYS
      14.3.5 NEC

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