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Biometrics as a Service Market - Forecasts From 2018 to 2023

  • ID: 4718390
  • Report
  • 107 pages
  • Knowledge Sourcing Intelligence LLP
UP TO OFF
until Dec 31st 2019
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FEATURED COMPANIES

  • Bayometric
  • BioID
  • Fujitsu
  • Karalundi
  • SmilePass
  • Tascent
  • MORE
The Biometrics as a Service market was valued at US$1.160 billion in 2017 and is expected to grow at a CAGR of 30.25% over the forecast period to reach a total market size of US$5.665 billion by 2023. Rising incidence of frauds resulting from identity theft has been steering enterprises towards more secure access and identity management solutions. As a result, various biometric solutions have been gaining popularity among the end-users across the globe. Although these solutions have been witnessing significant adoption among enterprises, their adoption among enterprises with very tight budgets is still limited. This can be seen as one of the factors driving the popularity of biometrics as a service across enterprises. Availability of a good number of vendors offering reliable biometric capabilities over cloud is increasing their adoption among the end-users who seek to control their costs without compromising on security. Favorable initiatives from the governments are further increasing the adoption of biometrics as a service, thus boosting the growth of the market.

This research study examines the current market trends related to the demand, supply, and sales, in addition to the recent developments. Major drivers, restraints, and opportunities have been covered to provide an exhaustive picture of the market. The analysis presents in-depth information regarding the development, trends, and industry policies and regulations implemented in each of the geographical regions. Further, the overall regulatory framework of the market has been exhaustively covered to offer stakeholders a better understanding of the key factors affecting the overall market environment.

Identification of key industry players in the industry and their revenue contribution to the overall business or relevant segment aligned to the study has been covered as a part of competitive intelligence done through extensive secondary research. Various studies and data published by industry associations, analyst reports, investor presentations, press releases and journals among others have been taken into consideration while conducting the secondary research. Both bottom-up and top down approaches have been utilized to determine the market size of the overall market and key segments. The values obtained are correlated with the primary inputs of the key stakeholders in the Biometrics as a Service value chain. Last step involves complete market engineering which includes analysing the data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting.

Market intelligence is presented in the form of analysis, charts, and graphics to help the clients in gaining faster and efficient understanding of the Biometrics as a Service market.

Major industry players profiled as part of the report are Fujitsu, Bayometric, Karalundi, SmilePass, Zolon Tech Inc., Tascent and BioID.

Segmentation

The Biometrics as a Service market is segmented by modality type, deployment model, enterprise size, end-user industry and geography.

By Modality Type

Unimodal
Iris Recognition
Fingerprint Recognition
Facial Recognition
Voice Recognition
Others

Multimodal

By Deployment Model

Public
Private
Hybrid

By Enterprise Size

Small
Medium
Large

By End-User Industry

BFSI
Communication and Technology
Government
Travel and Tourism
Retail
Others

By Geography

North America
United States
Canada
Mexico
Others

South America
Brazil
Argentina
Others

Europe
UK
Germany
France
Italy
Others

Middle East and Africa
Saudi Arabia
UAE
Israel
Others

Asia Pacific
Japan
China
India
Australia
Others
Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Bayometric
  • BioID
  • Fujitsu
  • Karalundi
  • SmilePass
  • Tascent
  • MORE
1. Introduction

2. Research Methodology
2.1. Research Process And Design
2.2. Research Assumptions

3. Executive Summary

4. Market Dynamics
4.1. Market Segmentation
4.2. Market Drivers
4.3. Market Restraints
4.4. Market Opportunities
4.5. Porter’s Five Force Analysis
4.5.1. Bargaining Power Of Suppliers
4.5.2. Bargaining Power Of Buyers
4.5.3. Threat Of New Entrants
4.5.4. Threat Of Substitutes
4.5.5. Competitive Rivalry In The Industry
4.6. Life Cycle Analysis- Regional Snapshot
4.7. Market Attractiveness

5. Biometrics as a Service Market by Modality Type
5.1. Unimodal
5.1.1. Iris Recognition
5.1.2. Fingerprint Recognition
5.1.3. Facial Recognition
5.1.4. Voice Recognition
5.1.5. Others
5.2. Multimodal

6. Biometrics as a Service Market by Deployment Model
6.1. Public
6.2. Private
6.3. Hybrid

7. Biometrics as a Service Market by Enterprise Size
7.1. Small
7.2. Medium
7.3. Large

8. Biometrics as a Service Market by End-User Industry
8.1. BFSI
8.2. Communication and Technology
8.3. Government
8.4. Travel and Tourism
8.5. Retail
8.6. Others

9. Biometrics as a Service Market by Geography
9.1. North America
9.1.1. United States
9.1.2. Canada
9.1.3. Mexico
9.1.4. Others
9.2. South America
9.2.1. Brazil
9.2.2. Argentina
9.2.3. Others
9.3. Europe
9.3.1. UK
9.3.2. Germany
9.3.3. France
9.3.4. Italy
9.3.5. Others
9.4. Middle East and Africa
9.4.1. Saudi Arabia
9.4.2. UAE
9.4.3. Israel
9.4.4. Others
9.5. Asia Pacific
9.5.1. Japan
9.5.2. China
9.5.3. India
9.5.4. Australia
9.5.5. Others

10. Competitive Intelligence
10.1. Investment Analysis
10.2. Recent Deals
10.3. Strategies of Key Players

11. Company Profiles
11.1. Fujitsu
11.2. Bayometric
11.3. Karalundi
11.4. SmilePass
11.5. Zolon Tech Inc.
11.6. Tascent
11.7. BioID
List of Figures
List of Tables
Disclaimer
Note: Product cover images may vary from those shown
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  • Fujitsu
  • Bayometric
  • Karalundi
  • SmilePass
  • Zolon Tech Inc.
  • Tascent
  • BioID
Note: Product cover images may vary from those shown
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The research study is based on the publisher's proprietary research model. The process involves sourcing of information from various industry experts, key professionals, decision-makers and various other stakeholders along with the validation of the responses received from the vast in-house database and premium paid databases. Publicly available sources were also taken into consideration for the final market estimates and forecast for the segments and sub-segments.

The first phase of the research process is the identification of key industry leaders, experts, decision-makers and C-level executives and then conducting interviews and surveys to gain vital insights about the market. Simultaneously, extensive secondary research is done, and key secondary data is collected as part of this process. This secondary data is collected from various databases, industry journals, whitepapers, company annual reports, research publications, and other paid data sources and relevant literature. Company profiles which include strategies, new product developments, recent investments, major products and services, financials and business plans are sourced from the annual reports, SEC filings, industry associations to preserve the quality of the information being displayed. The findings from both the primary and the secondary research process combined go under further processing for market breakdown and forecasting.

The last phase is providing intelligence in the form of presentation, charts, graphics and other different formats helping the clients in a faster and efficient understanding of the market. Under this phase complete market engineering is involved which includes analyzing the collected data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting. The publisher has developed their market forecasting methodology that, in addition to the main market values, also takes into account other macroeconomic factors (global or local) that might have some bearing on the market under study. Taking all the necessary data, a robust forecast is developed using an algorithm that involves both static (multivariate) as well as dynamic (time-series) regression analysis. Special care is taken to make sure their algorithm passes the necessary statistical tests, and the mean prediction for future years obtained is reliable with a very high confidence level. Following data validation, the analysts begin to write the report presenting insights with the help of charts, graphs, and tables.

 

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