到2030年的预测

Table of Content

1.Introduction

1.1.Market Introduction
1.2.Market Research Methodology
1.2.1.Research Process
1.2.2.Primary Research
1.2.3.Secondary Research
1.2.4.Data Collection Technique
1.2.5.Data Sources
1.3.Market Estimation Methodology
1.3.1.Limitations of the Study
1.4.Product Picture of Facial Recognition
1.5.Global Facial Recognition: Classification
1.6.Geographic Scope
1.7.Years Considered for the Study
1.8.Research Methodology in brief
1.9.Parent Market Overview
1.10. Overall Facial Recognition Market Regional Demand
1.11. Research Programs/Design
1.12. Market Breakdown and Data Triangulation Approach
1.13. Data Source
1.14. Secondary Sources
1.15. Primary Sources
1.16. Primary Interviews
1.17. Average primary breakdown ratio

2.Market Dynamics

2.1.Drivers
2.1.1.Drivers
2.2.Restraints
2.2.1.Restraints
2.3.Opportunity
2.3.1.Impact forces on market dynamics
2.3.2.Impact forces during the forecast years
2.4.Industry Value Chain
2.4.1.Upstream analysis
2.4.2.Downstream analysis
2.4.3.Distribution Channel
2.4.4.Direct Channel
2.4.5.Indirect Channel
2.5.Potential Customers
2.6.Manufacturing/Operational Cost Analysis
2.7.Pricing Analysis by Region
2.8.Key Technology Landscape
2.9.Regulatory Analysis
2.10. Porter\'s Analysis
2.10.1.Supplier Power
2.10.2.Buyer Power
2.10.3.Substitution Threat
2.10.4.Threat from New Entry
2.10.5.Competitive Rivalry
2.11. PESTEL Analysis
2.12. Political Factors
2.13. Economic Factor
2.14. Social Factors
2.15. Technological Factor
2.16. Environmental Factors
2.17. Legal Factor

3.Global Facial Recognition Market Segmentation, by Revenue (USD Billion), (2023-2030)

3.1.By Technology
3.1.1.2D Facial Recognition
3.1.2.3D Facial Recognition
3.1.3.Facial Analytics
3.1.4.Others
3.2.By Application
3.2.1.Access Control
3.2.2.Security and Surveillance
3.2.3.Other Applications
3.3.By Vertical
3.3.1.BFSI
3.3.2.Automotive & Transportation
3.3.3.Healthcare
3.3.4.Government & Defense
3.3.5.IT and Telecom
3.3.6.Retail and E-commerce
3.3.7.Others

4.Global Facial Recognition Market Overview, By Region

4.1. North America Market Revenue (USD Billion), by Countries, (2023-2030)
4.1.1. US
4.1.1.1.By Technology
4.1.1.2.By Application
4.1.1.3.By Vertical
4.1.2.Canada
4.1.3.Mexico
4.2.Europe Market Revenue (USD Billion), by Countries, (2023-2030)
4.2.1.France
4.2.2.UK
4.2.3.Germany
4.2.4.Spain
4.2.5.Russia
4.2.6.Italy
4.2.7.BENELUX
4.3.Asia Pacific Market Revenue (USD Billion), by Countries, (2023-2030)
4.3.1. China
4.3.2. Japan
4.3.3. Australia
4.3.4. South Korea
4.3.5. India
4.3.6. ASIAN
4.4.Latin America Market Revenue (USD Billion), by Countries, (2023-2030)
4.4.1. Brazil
4.4.2. Argentina
4.4.3. Chile
4.5.Middle East and Africa Market Revenue (USD Billion), by Countries, (2023-2030)
4.5.1.GCC
4.5.2.Turkey
4.5.3.South Africa

5.Global Facial Recognition Market Revenue: Competitive Analysis, 2022

5.1.Key strategies by players
5.2.Revenue (USD Billion and %), By manufacturers, 2022
5.3.Player Positioning by Market Players, 2022

6.Competitive Analysis

6.1.NEC Corporation
6.1.1.Business Overview
6.1.2.Business Financials (USD Billion)
6.1.3.Product Category, Type, and Specification
6.1.4.Main Business/Business Overview
6.1.5.Geographical Analysis
6.1.6.Recent Development
6.1.7.Swot Analysis
6.2.Thales
6.3.Softweb Solutions Inc. (An Avnet Company)
6.4.Cognitec Systems GmbH (Germany)
6.5.Aware, Inc.
6.6.Daon, Inc.
6.7.FaceFirst, Inc.
6.8.Face++
6.9.Fulcrum Biometrics, Inc.
6.10.Amazon Web Services, Inc.
6.11.Google Developers

7.Market Research Findings & Conclusion
Disclaimer

Disclaimer