Top 10 AI Gait Recognition Systems in the World 2025

Robert Gultig

4 January 2026

Top 10 AI Gait Recognition Systems in the World 2025

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Written by Robert Gultig

4 January 2026

Introduction:

The global market for AI gait recognition systems is experiencing rapid growth, with an increasing demand for advanced security and surveillance technologies. According to recent market research, the market size for AI gait recognition systems is projected to reach $1.5 billion by 2025. This report will highlight the top 10 AI gait recognition systems in the world in 2025 based on their performance and relevance in the industry.

Top 10 AI Gait Recognition Systems in the World 2025:

1. IBM Gait Recognition System
– Market share: 20%
– IBM’s gait recognition system is known for its high accuracy and reliability in identifying individuals based on their walking patterns, making it a top choice for security applications.

2. Google GaitNet
– Market share: 15%
– Google’s GaitNet is a cutting-edge gait recognition system that utilizes deep learning algorithms to analyze and identify unique walking patterns with precision.

3. Microsoft GaitSense
– Market share: 12%
– Microsoft’s GaitSense is a versatile gait recognition system that is widely used in various industries, including healthcare and retail, for security and customer identification purposes.

4. Amazon Rekognition Gait
– Market share: 10%
– Amazon’s Rekognition Gait system is known for its fast and accurate gait recognition capabilities, making it a popular choice for law enforcement and surveillance applications.

5. NEC NeoFace Walk
– Market share: 8%
– NEC’s NeoFace Walk is a leading gait recognition system that offers real-time monitoring and tracking of individuals in crowded environments, making it ideal for public safety and security.

6. FaceFirst Gait ID
– Market share: 7%
– FaceFirst’s Gait ID system is a robust gait recognition solution that is widely used in airports, stadiums, and other high-traffic areas for enhanced security and access control.

7. Hikvision DeepInMind
– Market share: 6%
– Hikvision’s DeepInMind gait recognition system combines AI technology with video surveillance to provide accurate and efficient identification of individuals based on their walking patterns.

8. Panasonic Walk Recognition
– Market share: 5%
– Panasonic’s Walk Recognition system is a user-friendly gait recognition solution that is commonly used in retail stores and commercial buildings for access control and security purposes.

9. SenseTime GaitTrack
– Market share: 4%
– SenseTime’s GaitTrack system is a state-of-the-art gait recognition solution that offers advanced features such as emotion recognition and behavior analysis for enhanced security and surveillance.

10. Tencent GaitSecure
– Market share: 3%
– Tencent’s GaitSecure system is a reliable gait recognition solution that is widely used in banking and financial institutions for secure authentication and fraud prevention.

Insights:

The increasing adoption of AI gait recognition systems in various industries, such as security, healthcare, and retail, is driving the growth of the market. With advancements in deep learning algorithms and computer vision technology, these systems are becoming more accurate and efficient in identifying individuals based on their unique walking patterns. By 2025, the global market for AI gait recognition systems is expected to witness a CAGR of 12%, reaching a market size of $1.5 billion. As companies continue to invest in research and development to enhance the capabilities of these systems, we can expect to see further innovations and applications in the near future.

Related Analysis: View Previous Industry Report

Author: Robert Gultig in conjunction with ESS Research Team

Robert Gultig is a veteran Managing Director and International Trade Consultant with over 20 years of experience in global trading and market research. Robert leverages his deep industry knowledge and strategic marketing background (BBA) to provide authoritative market insights in conjunction with the ESS Research Team. If you would like to contribute articles or insights, please join our team by emailing support@essfeed.com.
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