Global Gait Biometrics Market Segmentation Analysis and Forecast to 2034 - By Component (Hardware, Software, Services), By Application, (Security & Surveillance, Healthcare, Sports & Fitness, Automotive, Others) – Leading Region (North America: 35.7% Share) and Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends and Forecast 2025-2034

Report Overview

The Global Gait Biometrics Market size is expected to be worth around USD 307.65 Million by 2034, from USD 109.33 Million in 2024, growing at a CAGR of 10.9% during the forecast period from 2025 to 2034. In 2024, North America held a dominant market position, capturing more than a 35.7% share, holding USD 39 Million in revenue.

Gait biometrics is a method of identifying individuals based on their unique walking patterns. This technique captures and analyzes the way a person moves, focusing on aspects like stride length, limb movement, and posture. Unlike other biometric systems that require direct contact or clear visuals, gait biometrics can operate unobtrusively, making it valuable in scenarios where traditional methods fall short.

The Global Gait Biometrics Market is experiencing substantial growth driven by increasing demand for advanced, non-invasive security solutions across various sectors such as healthcare, law enforcement, and smart surveillance. Technological advancements in sensor systems and artificial intelligence are enhancing the accuracy and applicability of gait recognition.

For instance, in January 2025, A recent article from iNews explored the potential of combining gait recognition with body odor analysis for surveillance purposes. Researchers are investigating how walking patterns and chemical signatures emitted by the body can be used together to track individuals’ movements. This approach aims to enhance the accuracy of biometric identification systems by integrating behavioral and physiological data.

Investors are taking note of the promising prospects in the gait biometrics sector. The technology’s potential to revolutionize security protocols and healthcare monitoring presents lucrative opportunities. Companies specializing in biometric solutions are expanding their portfolios to include gait analysis, anticipating its growing demand.

Key Takeaways

• In 2024, the Hardware segment led the Global Gait Biometrics Market, securing a 46% share, driven by the rising need for advanced motion capture and wearable devices.
• The Security and Surveillance segment dominated end-use applications, capturing 40% of the global market, as gait analysis gains traction in law enforcement and border control.
• The U.S. Gait Biometrics Market was valued at USD 36.9 Million in 2024, expanding steadily with a CAGR of 5.4%, fueled by defense and public safety investments.
• North America held a dominant position, accounting for 35.7% of the global market in 2024, backed by early adoption, tech infrastructure, and homeland security focus.

US Market Expansion

The US Gait Biometrics Market is valued at approximately USD 36.9 Million in 2024 and is predicted to increase from USD 38.9 Million in 2025 to approximately USD 62.4 Million by 2034, projected at a CAGR of 5.4% from 2025 to 2034.

For instance, In December 2024, U.S. universities, notably Michigan State University, took a leading role in advancing gait and multimodal biometric systems, with backing from federal research grants. These projects focus on enhancing identification accuracy by integrating multiple biometric signals – like gait, facial, and body movement patterns – especially for long-range surveillance scenarios.

North America Growth

In 2024, North America led the global gait biometrics market, accounting for over 35.7% of the total share and generating approximately USD 39 million in revenue. This dominance stems from the region’s strong tech ecosystem and its early deployment of gait biometrics across key industries – particularly in healthcare, law enforcement, and government-backed programs.

The widespread integration of AI and deep learning into biometric platforms has enhanced both accuracy and scalability, making gait-based authentication more viable for real-world use. North America’s push toward contactless and non-intrusive security solutions also plays a crucial role in sustaining its market leadership.

One notable development occurred in June 2024, when a study featured in Biodata Mining showcased how wearable gait biometrics are being embedded into smart consumer applications. The research, based in North America, emphasized the role of inertial measurement units (IMUs) and force-sensitive resistors (FSRs) placed in wearables like shoes and smart clothing.

Component Analysis

In 2024, the Hardware segment led the Global Gait Biometrics Market, securing a 46% share, driven by rapid innovation in sensor technologies and a growing reliance on wearable biometric devices. This segment includes core components like inertial measurement units (IMUs), pressure sensors, and biometric cameras, which are essential for capturing high-resolution gait patterns in real-time.

The rising need for contactless, continuous monitoring across healthcare, security, and smart consumer devices is pushing hardware adoption at scale, especially as organizations seek more accurate and frictionless identity verification tools.

A standout example of this trend emerged in June 2023, when the H1st Vision concept car was launched at the VivaTech conference in Paris by Software République – a coalition of major tech and automotive players including STMicroelectronics and Renault. This futuristic vehicle is equipped with over 20 cutting-edge technologies, one of which is a biometric access system that authenticates users based on gait and facial recognition.

The car captures walking patterns via sensors and cross-references them with encrypted digital IDs stored locally. This not only enhances user convenience but also fortifies data privacy, signaling how hardware-driven gait biometrics are redefining mobility security.

Application Analysis

In 2024, the Security and Surveillance segment led the Global Gait Biometrics Market with a strong 40% share, reflecting growing interest in non-intrusive and intelligent identification systems. This segment’s leadership is fueled by heightened security needs across public infrastructure, defense, and private enterprises, all seeking reliable ways to monitor and identify individuals without physical contact.

Innovations in AI and sensor technology have significantly improved gait recognition’s precision, making it suitable for complex environments like airports, smart cities, and border checkpoints. The push for seamless, privacy-conscious security solutions has further accelerated this segment’s momentum.

A key development reinforcing this trend came in November 2024, when Apple secured a patent for a hybrid biometric system that blends facial recognition with gait, clothing, and gesture-based identifiers. This technology is designed to recognize individuals even when facial data is partially obscured or unavailable. By linking facial profiles with dynamic physical traits, Apple aims to enable more robust and context-aware identification.

Key Market Segments

By Component

• Hardware
• Software
• Services

By Application

• Security & Surveillance
• Healthcare
• Sports & Fitness
• Automotive
• Others

Key Regions and Countries

North America

• US
• Canada

Europe

• Germany
• France
• The UK
• Spain
• Italy
• Russia
• Netherlands
• Rest of Europe

Asia Pacific

• China
• Japan
• South Korea
• India
• Australia
• Singapore
• Thailand
• Vietnam
• Rest of APAC

Latin America

• Brazil
• Mexico
• Rest of Latin America

Middle East & Africa

• South Africa
• Saudi Arabia
• UAE
• Rest of MEA

Drivers

Rising Demand for Enhanced Security Systems

There is a growing need for precise and non-intrusive identification methods across high-security environments such as airports, government offices, and financial institutions due to increasing incidents of identity theft. Gait biometrics offers a contactless solution that enhances security while maintaining user convenience. This rising demand to strengthen safety protocols and prevent unauthorized access is fueling the adoption of gait recognition technologies in these critical sectors.

For instance, In October 2024, the European Union initiated a pilot program called the PopEye Project, funded by a €3.2 million grant under the Horizon Europe framework. This three-year project aims to enhance border security by implementing biometric gait recognition technology to identify individuals crossing the EU’s external borders.

The system is designed to detect and verify people from up to 200 meters away without requiring them to stop or cooperate, integrating gait recognition with other biometric tools like 3D facial recognition for improved accuracy. The initiative is being tested in collaboration with the Finnish Ministry of Interior and Romanian Border Authorities, ensuring compliance with the EU’s AI Act and General Data Protection Regulation (GDPR)

Restraint

Data Privacy and Ethical Concerns

The collection and use of gait biometric data raise significant privacy and ethical issues. Concerns revolve around constant surveillance, the need for informed consent, and the potential misuse or unauthorized sharing of sensitive personal information. These challenges contribute to resistance against widespread deployment and necessitate strict regulatory frameworks to ensure responsible and transparent handling of biometric data.

For instance, in October 2024, Aware, Inc. released its 2024 Consumer Trust in Biometrics Report, revealing that over 50% of U.S. consumers now authenticate using biometrics daily. While this indicates widespread adoption, the report also highlights significant concerns regarding data privacy.

Consumers expressed a strong desire for clear data handling policies and greater control over their biometric data. Notably, two of the top four factors influencing their willingness to adopt biometric technologies were guarantees of data privacy and increased control over their data.

Opportunities

Increasing Adoption in Consumer Electronics

Gait biometrics is gaining popularity in consumer electronics such as smartphones, wearable devices, and smart home systems. This technology allows personalized and seamless user experiences by recognizing individuals through their unique patterns.

As consumer demand grows for secure yet convenient authentication methods, integrating gait recognition into daily devices presents a significant opportunity for innovation and market expansion. For instance, in April 2024, A study published by Microsystems & Nanoengineering introduced a novel wearable gait recognition system utilizing laser-induced graphene (LIG) sensors.

Researchers employed a one-step laser ablation process to fabricate pressure sensors from polyamide films, integrating them into flexible composites suitable for wearable devices. These sensors, embedded in intelligent insoles, achieved a high gait recognition accuracy of 99.85%, as validated through real-world exoskeleton applications.

Challenges

Accuracy and Reliability

The technical challenge of achieving accurate and consistent gait recognition across various applications is still formidable. Variations in footwear, temporary injuries, or carrying objects can alter a person’s gait, leading to issues with the accuracy of the system. To achieve wider acceptance and deployment, it is essential to have advanced algorithms and sensor technologies that can adjust to dynamic conditions without compromising performance.

For instance, in May 2024, A study titled A Survey of Appearance-Based Approaches for Human Gait Recognition: Techniques, Challenges, and Future Directions, published in The Journal of Supercomputing, discusses the persistent challenges in gait recognition, particularly concerning accuracy and reliability.

Despite advancements, appearance-based gait recognition methods face limitations due to factors like occlusions, varying lighting conditions, and low image quality, which can significantly affect performance. The study emphasizes the need for further research to address these issues and enhance the robustness of gait recognition systems.

Latest Trends

Advances in artificial intelligence and machine learning have led to more significant progress in gait biometrics. A range of algorithms, such as neural networks, random forests, and support vector machines, are employed by modern systems to improve the accuracy and dependability of identifying individuals through their walking patterns.

To improve model efficiency and simplify data processing, feature selection and dimensionality reduction techniques like PCA and LDA are commonly employed. For Instance, in February 2025, A recent study titled A Survey of Artificial Intelligence in Gait-Based Neurodegenerative Disease Diagnosis, published in Neurocomputing addresses the persistent challenges of accuracy and reliability in gait biometrics.

The research highlights that despite advancements in artificial intelligence (AI) models for automatic gait analysis, several factors continue to impact the performance of these systems. Variations in walking conditions, clothing, and environmental factors can introduce inconsistencies, leading to reduced accuracy in identifying and classifying neurodegenerative diseases (NDs) based on gait patterns.

Key Player Analysis

In December 2024, DIH Holding US, Inc. announced the appointment of Shepherd Center in Atlanta, Georgia, as a DIH Center of Excellence. This strategic partnership aims to enhance rehabilitation outcomes and drive advancements in rehabilitation by integrating DIH’s advanced robotic devices, such as the Erigo®Pro, Lokomat®Pro, and C-Mill VR+, into Shepherd Center’s neurorehabilitation programs.

These devices are utilized for early patient mobilization, intensive gait training, and balance and gait evaluation, supporting patients with conditions like spinal cord and brain injuries, stroke, multiple sclerosis, and chronic pain. The collaboration underscores a commitment to innovation in rehabilitation, creating new opportunities for patient recovery.

Top Key Players Covered

• BioSensics
• CIR Systems Inc.
• DIH Group
• Fujitsu Ltd.
• GaitTronics Inc.
• Innovative Sports Training Inc.
• Mar Systems Ltd.
• Microsoft Corp.
• MindMaze SA
• Motus Global
• Movella Inc
• Noraxon USA
• Qualisys AB
• ScribeLabs Inc.
• Tekscan Inc.
• Others

Recent Developments

• In August 2024, Noraxon introduced the Ultium Motion system, a lightweight sensor suite designed for detailed gait and movement analysis. The system captures various metrics such as joint angles and acceleration, aiding in sports science and rehabilitation.
• In May 2024, MindMaze entered into a $21 million business combination agreement with Genesis Growth Tech Acquisition. This move aims to enhance MindMaze’s digital therapeutics platform, which includes gait analysis technologies.

Report Scope