PUBLISHER: QYResearch | PRODUCT CODE: 1872095
PUBLISHER: QYResearch | PRODUCT CODE: 1872095
The global market for Passive Authentication was estimated to be worth US$ 1672 million in 2024 and is forecast to a readjusted size of US$ 5289 million by 2031 with a CAGR of 16.9% during the forecast period 2025-2031.
Passive authentication, as a new type of authentication method distinct from traditional active authentication (such as entering passwords or SMS verification codes), does not require users to perform any additional operations to complete the identity verification process. It continuously collects and analyzes various types of behavioral data, device attribute data, and environmental data generated during users' interactions with devices or systems, thereby inferring the authenticity and legitimacy of users' identities.
In terms of behavioral data, this includes users' keyboard typing habits (such as keystroke force, rhythm, and interval time), mouse movement trajectories (speed, pause points, and click frequency), preferred page browsing order, and habitual application operation processes. For example, some users tend to type quickly when entering passwords, with relatively consistent intervals between keystrokes; when browsing web pages, they always start by viewing specific sections of content. These behavioral characteristics are as unique as fingerprints, providing rich identification criteria for passive authentication.
Device attribute data involves the hardware information of the device used by the user, including device model, operating system version, screen resolution, and device unique identifier. Different devices vary in these attributes. By accurately identifying and matching device attributes, it is possible to assist in determining whether the user is a legitimate user. For example, company employees typically use office devices equipped with specific computer models and uniform operating system versions for work. If login behavior is detected from devices that do not meet company device standards, the system will raise an alert.
Environmental data includes the user's network environment (IP address, network type such as Wi-Fi or mobile data, network signal strength) and geolocation information (GPS positioning, base station positioning). For example, if a user typically logs into the system from locations within the company's vicinity and uses the company's internal Wi-Fi network, and on a particular day attempts to log in from a different location using an unfamiliar mobile data network, the system can trigger additional security verification mechanisms based on these abnormal changes in environmental data.
In today's digital age, information security has become a core concern for both businesses and individuals. While traditional password-based authentication methods are widely used, they are vulnerable to security threats such as brute-force attacks, password leaks, and phishing attacks, putting the data of businesses and users at significant risk. According to relevant data, over [X]% of data breaches are related to password security vulnerabilities. This dire situation has driven the market to urgently seek more efficient and secure authentication solutions, leading to the emergence of passive authentication technology.
From the perspective of industry application breadth, passive authentication has demonstrated unique value across numerous fields. In the banking, financial services, and insurance (BFSI) industry, where large-scale financial transactions and sensitive customer information are involved, stringent security authentication requirements are essential. Passive authentication can monitor user behavior and device environments in real-time during online transactions such as fund transfers and online banking logins, ensuring transaction security and effectively reducing fraud risks. For example, after implementing passive authentication technology, a major bank saw a [X]% reduction in transaction fraud rates.
In the e-commerce sector, as online shopping becomes more widespread, consumers increasingly prioritize both convenience and security during the shopping process. Passive authentication allows consumers to browse products and complete transactions without repeatedly entering passwords, enhancing the shopping experience while ensuring transaction security and preventing account theft that could lead to financial loss.
Membership management systems in the retail industry also leverage passive authentication to automatically identify and verify member identities. When members enter a store and use a mobile app, the system can confirm their identities through passive authentication, enabling personalized services such as pushing exclusive discount information.
In the information technology (IT) and telecommunications industries, passive authentication plays a crucial role in both internal network access control within enterprises and user identity verification by telecommunications operators, ensuring the security and stability of network communications.
This report aims to provide a comprehensive presentation of the global market for Passive Authentication, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Passive Authentication by region & country, by Type, and by Application.
The Passive Authentication market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Passive Authentication.
Market Segmentation
By Company
Segment by Type
Segment by Application
By Region
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Passive Authentication company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Passive Authentication in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Passive Authentication in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.