The Asia Pacific Crowd Analytics Market is expected to witness market growth of 24.4% CAGR during the forecast period (2024-2031).
The China market dominated the Asia Pacific Crowd Analytics Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $620 million by 2031. The Japan market is registering a CAGR of 23.7% during 2024-2031. Additionally, the India market is expected to showcase a CAGR of 25.3% during 2024-2031.
Beyond security, transportation hubs, airports, and sports stadiums rely on these analytics to prevent congestion and improve operational efficiency. Airports like London Heathrow use AI-driven monitoring to streamline security checkpoints and passenger movement, while metro systems in Tokyo and Hong Kong dynamically adjust train schedules based on real-time crowd density.
The increasing demand for real-time monitoring and decision-making has prompted organizations across diverse sectors to implement AI-driven crowd analytics to enhance security, operational efficiency, and customer engagement. Law enforcement agencies use real-time surveillance and IoT-powered monitoring systems to detect overcrowding, suspicious activity, and unauthorized gatherings, preventing security breaches at airports, stadiums, and religious sites.
This market in the Asia Pacific region is experiencing substantial growth, driven by government initiatives, technological advancements, and increased investments in smart infrastructure. In China, advancements in transportation and logistics are significantly contributing to the adoption of these analytics as businesses and government agencies seek to enhance operational efficiency, optimize passenger flow, and improve urban mobility. The Chinese government's "New Infrastructure" initiative, launched in 2020, highlights 5G technology as a key enabler for modernizing transportation networks. At the Port of Qingdao, the deployment of 5G-enabled IoT solutions has allowed remote control of cranes, increasing container loading and unloading efficiency from 24.2 to 36.2 containers per hour, with peak efficiency reaching 43.8 containers per hour. This transformation underscores how these analytics, integrated with real-time 5G monitoring, can optimize transportation hubs, ports, and public transit systems, ensuring seamless crowd movement and enhanced security measures. Hence, as governments and businesses invest in smart infrastructure, urban mobility solutions, and AI-driven security systems, the demand for real-time crowd analytics will grow significantly in the coming years.
The China market dominated the Asia Pacific Crowd Analytics Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $620 million by 2031. The Japan market is registering a CAGR of 23.7% during 2024-2031. Additionally, the India market is expected to showcase a CAGR of 25.3% during 2024-2031.
Beyond security, transportation hubs, airports, and sports stadiums rely on these analytics to prevent congestion and improve operational efficiency. Airports like London Heathrow use AI-driven monitoring to streamline security checkpoints and passenger movement, while metro systems in Tokyo and Hong Kong dynamically adjust train schedules based on real-time crowd density.
The increasing demand for real-time monitoring and decision-making has prompted organizations across diverse sectors to implement AI-driven crowd analytics to enhance security, operational efficiency, and customer engagement. Law enforcement agencies use real-time surveillance and IoT-powered monitoring systems to detect overcrowding, suspicious activity, and unauthorized gatherings, preventing security breaches at airports, stadiums, and religious sites.
This market in the Asia Pacific region is experiencing substantial growth, driven by government initiatives, technological advancements, and increased investments in smart infrastructure. In China, advancements in transportation and logistics are significantly contributing to the adoption of these analytics as businesses and government agencies seek to enhance operational efficiency, optimize passenger flow, and improve urban mobility. The Chinese government's "New Infrastructure" initiative, launched in 2020, highlights 5G technology as a key enabler for modernizing transportation networks. At the Port of Qingdao, the deployment of 5G-enabled IoT solutions has allowed remote control of cranes, increasing container loading and unloading efficiency from 24.2 to 36.2 containers per hour, with peak efficiency reaching 43.8 containers per hour. This transformation underscores how these analytics, integrated with real-time 5G monitoring, can optimize transportation hubs, ports, and public transit systems, ensuring seamless crowd movement and enhanced security measures. Hence, as governments and businesses invest in smart infrastructure, urban mobility solutions, and AI-driven security systems, the demand for real-time crowd analytics will grow significantly in the coming years.
List of Key Companies Profiled
- Nokia Corporation
- NEC Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Savannah Simulations AG
- Sightcorp (Raydiant Inc.)
- IBM Corporation
- Hewlett Packard Enterprise Development LP
- Intel Corporation
- Cisco Systems, Inc.
- Aptiv PLC
Market Report Segmentation
By Deployment Mode
- Cloud
- On-premise
By Component
- Solution
- Services
- Managed Services
- Professional Services
By Application
- Security & Safety
- Crowd Management
- Tracking & Monitoring
- Other Application
By Organization Size
- Large Enterprises
- Small & Medium Enterprises
By Vertical
- Consumer Goods & Retail
- Transportation
- Public Safety
- Media & Entertainment
- BFSI
- Healthcare & Life Sciences
- Travel & Tourism
- Other Vertical
By Country
- China
- Japan
- India
- South Korea
- Australia
- Malaysia
- Rest of Asia Pacific
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. Asia Pacific Crowd Analytics Market by Deployment Mode
Chapter 6. Asia Pacific Crowd Analytics Market by Component
Chapter 7. Asia Pacific Crowd Analytics Market by Application
Chapter 8. Asia Pacific Crowd Analytics Market by Organization Size
Chapter 9. Asia Pacific Crowd Analytics Market by Vertical
Chapter 10. Asia Pacific Crowd Analytics Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- Nokia Corporation
- NEC Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Savannah Simulations AG
- Sightcorp (Raydiant Inc.)
- IBM Corporation
- Hewlett Packard Enterprise Development LP
- Intel Corporation
- Cisco Systems, Inc.
- Aptiv PLC
Methodology
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