2026 Global: Biometric Authentication For Smartphone Market -Competitive Review (2032) report
Description
The 2026 Global: Biometric Authentication For Smartphone Market -Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for biometric authentication for smartphone market by geography and historical trend. The scope of the report extends to sizing of the biometric authentication for smartphone market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
Goodix Technology, Synaptics, Fingerprint Cards (FPC), Qualcomm, Idex Biometrics, IDEMIA, NEC, Thales, Suprema, and Fujitsu are among the ten major companies shaping the biometric authentication market for smartphones, each supplying distinct sensor, algorithm, or system-level capabilities that smartphone OEMs integrate for secure on-device authentication. Goodix leads in capacitive and optical under-display fingerprint sensors and tightly couples AI-driven matching algorithms with hardware to serve many Asian OEMs. Synaptics provides compact fingerprint and facial modules with hardware–software co-design and sensor-fusion approaches that emphasize low power and seamless user experience for mid- to high-tier devices. Fingerprint Cards (FPC) remains a pioneer in capacitive and optical fingerprint technology focused on miniaturization and multimodal frameworks for phones and wearables, backed by extensive R&D and global OEM partnerships. Qualcomm differentiates through platform-level integration—ultrasonic fingerprint, 3D facial recognition support, and on-chip security in Snapdragon SoCs—enabling high accuracy, privacy-preserving on-device processing and broad device interoperability. Idex Biometrics concentrates on ultra-thin, flexible fingerprint sensors and biometric payment-card crossover technologies that influence compact sensor design trends in smartphones and adjacent payment wearables.
IDEMIA, NEC, and Thales contribute enterprise-grade biometric engines, identity platforms, and liveness/anti-spoofing features that smartphone authentication ecosystems leverage for higher-assurance use cases such as mobile banking and government-grade identity, with IDEMIA and NEC offering scalable fingerprint and face solutions and Thales supplying encryption and identity-management layers that integrate with mobile authentication flows. Suprema supplies combined hardware and AI-driven biometric modules with strong anti-spoofing and rapid matching capabilities suited to consumer electronics and access-control integration, making its modules attractive for OEMs seeking proven spoof-detection performance in compact packages. Fujitsu brings long-standing biometric research—particularly in fingerprint and palm-vein modalities—and enterprise deployments that inform smartphone authentication requirements for robustness and regulatory compliance. Across these vendors, differentiation rests on sensor modality (capacitive, optical, ultrasonic, infrared/3D), on-device versus cloud template handling, anti-spoofing/liveness detection maturity, power and area footprints for integration under displays or into tiny form factors, and chipset-level security features such as secure enclaves and hardware roots of trust that together determine adoption by flagship, midrange, and secure-enterprise smartphone segments.
The competitive landscape is dynamic: consolidation and cross-licensing accelerate multimodal solutions and tighter hardware–software co-design while regulatory and privacy pressures push more on-device template storage and stronger liveness testing. Vendors like Qualcomm and Synaptics emphasize system-on-chip and sensor-fusion advantages to win OEM platform deals, whereas specialists such as Goodix, FPC, Idex, and Suprema focus on sensor performance, miniaturization, and payment-oriented use cases that broaden smartphone biometric applications. Enterprise-focused players IDEMIA, Thales, NEC, and Fujitsu drive higher-assurance implementations and compliance features that fintech and government customers demand, influencing smartphone authentication roadmaps where secure enrollment, anti-spoof proofs, and certified key storage are required.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for biometric authentication for smartphone market by geography and historical trend. The scope of the report extends to sizing of the biometric authentication for smartphone market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
Goodix Technology, Synaptics, Fingerprint Cards (FPC), Qualcomm, Idex Biometrics, IDEMIA, NEC, Thales, Suprema, and Fujitsu are among the ten major companies shaping the biometric authentication market for smartphones, each supplying distinct sensor, algorithm, or system-level capabilities that smartphone OEMs integrate for secure on-device authentication. Goodix leads in capacitive and optical under-display fingerprint sensors and tightly couples AI-driven matching algorithms with hardware to serve many Asian OEMs. Synaptics provides compact fingerprint and facial modules with hardware–software co-design and sensor-fusion approaches that emphasize low power and seamless user experience for mid- to high-tier devices. Fingerprint Cards (FPC) remains a pioneer in capacitive and optical fingerprint technology focused on miniaturization and multimodal frameworks for phones and wearables, backed by extensive R&D and global OEM partnerships. Qualcomm differentiates through platform-level integration—ultrasonic fingerprint, 3D facial recognition support, and on-chip security in Snapdragon SoCs—enabling high accuracy, privacy-preserving on-device processing and broad device interoperability. Idex Biometrics concentrates on ultra-thin, flexible fingerprint sensors and biometric payment-card crossover technologies that influence compact sensor design trends in smartphones and adjacent payment wearables.
IDEMIA, NEC, and Thales contribute enterprise-grade biometric engines, identity platforms, and liveness/anti-spoofing features that smartphone authentication ecosystems leverage for higher-assurance use cases such as mobile banking and government-grade identity, with IDEMIA and NEC offering scalable fingerprint and face solutions and Thales supplying encryption and identity-management layers that integrate with mobile authentication flows. Suprema supplies combined hardware and AI-driven biometric modules with strong anti-spoofing and rapid matching capabilities suited to consumer electronics and access-control integration, making its modules attractive for OEMs seeking proven spoof-detection performance in compact packages. Fujitsu brings long-standing biometric research—particularly in fingerprint and palm-vein modalities—and enterprise deployments that inform smartphone authentication requirements for robustness and regulatory compliance. Across these vendors, differentiation rests on sensor modality (capacitive, optical, ultrasonic, infrared/3D), on-device versus cloud template handling, anti-spoofing/liveness detection maturity, power and area footprints for integration under displays or into tiny form factors, and chipset-level security features such as secure enclaves and hardware roots of trust that together determine adoption by flagship, midrange, and secure-enterprise smartphone segments.
The competitive landscape is dynamic: consolidation and cross-licensing accelerate multimodal solutions and tighter hardware–software co-design while regulatory and privacy pressures push more on-device template storage and stronger liveness testing. Vendors like Qualcomm and Synaptics emphasize system-on-chip and sensor-fusion advantages to win OEM platform deals, whereas specialists such as Goodix, FPC, Idex, and Suprema focus on sensor performance, miniaturization, and payment-oriented use cases that broaden smartphone biometric applications. Enterprise-focused players IDEMIA, Thales, NEC, and Fujitsu drive higher-assurance implementations and compliance features that fintech and government customers demand, influencing smartphone authentication roadmaps where secure enrollment, anti-spoof proofs, and certified key storage are required.
Table of Contents
32 Pages
- 1.0 Scope of Report and Methodology
- 2.0 Market SWOT Analysis and Players
- 2.1 Market Definition
- 2.2 Market Segments
- 2.3 Market Strengths
- 2.4 Market Weaknesses
- 2.5 Market Threats
- 2.6 Market Opportunities
- 2.7 Major Players
- 3.0 Competitive Analysis
- 3.1 Market Player 1
- 3.2 Market Player 2
- 3.3 Market Player 3
- 3.4 Market Player 4
- 3.5 Market Player 5
- 3.6 Market Player 6
- 3.7 Market Player 7
- 3.8 Market Player 8
- 3.9 Market Player 9
- 3.10 Market Player 10
- 4.0 Comparative Business Strategies
- 4.1 Comparative Business Strategies of Player 1 and 2
- 4.2 Comparative Business Strategies of Player 1 and 3
- 4.3 Comparative Business Strategies of Player 1 and 4
- 4.4 Comparative Business Strategies of Player 2 and 3
- 4.5 Comparative Business Strategies of Player 2 and 4
- 4.6 Comparative Business Strategies of Player 3 and 4
- 5.0 Appendix
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