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Asia Pacific Crowd Analytics Market Size, Share & Trends Analysis Report By Deployment Mode (Cloud, and On-premise), By Component, By Application, By Organization Size, By Vertical, By Country and Growth Forecast, 2024 - 2031

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    Report

  • 161 Pages
  • January 2025
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6053258
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.

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
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Crowd Analytics Market, by Deployment Mode
1.4.2 Asia Pacific Crowd Analytics Market, by Component
1.4.3 Asia Pacific Crowd Analytics Market, by Application
1.4.4 Asia Pacific Crowd Analytics Market, by Organization Size
1.4.5 Asia Pacific Crowd Analytics Market, by Vertical
1.4.6 Asia Pacific Crowd Analytics Market, by Country
1.5 Methodology for the Research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 Market Share Analysis, 2023
4.2 Porter Five Forces Analysis
Chapter 5. Asia Pacific Crowd Analytics Market by Deployment Mode
5.1 Asia Pacific Cloud Market by Country
5.2 Asia Pacific On-premise Market by Country
Chapter 6. Asia Pacific Crowd Analytics Market by Component
6.1 Asia Pacific Solution Market by Country
6.2 Asia Pacific Services Market by Country
6.3 Asia Pacific Crowd Analytics Market by Services Type
6.3.1 Asia Pacific Managed Services Market by Country
6.3.2 Asia Pacific Professional Services Market by Country
Chapter 7. Asia Pacific Crowd Analytics Market by Application
7.1 Asia Pacific Security & Safety Market by Country
7.2 Asia Pacific Crowd Management Market by Country
7.3 Asia Pacific Tracking & Monitoring Market by Country
7.4 Asia Pacific Other Application Market by Country
Chapter 8. Asia Pacific Crowd Analytics Market by Organization Size
8.1 Asia Pacific Large Enterprises Market by Country
8.2 Asia Pacific Small & Medium Enterprises Market by Country
Chapter 9. Asia Pacific Crowd Analytics Market by Vertical
9.1 Asia Pacific Consumer Goods & Retail Market by Country
9.2 Asia Pacific Transportation Market by Country
9.3 Asia Pacific Public Safety Market by Country
9.4 Asia Pacific Media & Entertainment Market by Country
9.5 Asia Pacific BFSI Market by Country
9.6 Asia Pacific Healthcare & Life Sciences Market by Country
9.7 Asia Pacific Travel & Tourism Market by Country
9.8 Asia Pacific Other Vertical Market by Country
Chapter 10. Asia Pacific Crowd Analytics Market by Country
10.1 China Crowd Analytics Market
10.1.1 China Crowd Analytics Market by Deployment Mode
10.1.2 China Crowd Analytics Market by Component
10.1.2.1 China Crowd Analytics Market by Services Type
10.1.3 China Crowd Analytics Market by Application
10.1.4 China Crowd Analytics Market by Organization Size
10.1.5 China Crowd Analytics Market by Vertical
10.2 Japan Crowd Analytics Market
10.2.1 Japan Crowd Analytics Market by Deployment Mode
10.2.2 Japan Crowd Analytics Market by Component
10.2.2.1 Japan Crowd Analytics Market by Services Type
10.2.3 Japan Crowd Analytics Market by Application
10.2.4 Japan Crowd Analytics Market by Organization Size
10.2.5 Japan Crowd Analytics Market by Vertical
10.3 India Crowd Analytics Market
10.3.1 India Crowd Analytics Market by Deployment Mode
10.3.2 India Crowd Analytics Market by Component
10.3.2.1 India Crowd Analytics Market by Services Type
10.3.3 India Crowd Analytics Market by Application
10.3.4 India Crowd Analytics Market by Organization Size
10.3.5 India Crowd Analytics Market by Vertical
10.4 South Korea Crowd Analytics Market
10.4.1 South Korea Crowd Analytics Market by Deployment Mode
10.4.2 South Korea Crowd Analytics Market by Component
10.4.2.1 South Korea Crowd Analytics Market by Services Type
10.4.3 South Korea Crowd Analytics Market by Application
10.4.4 South Korea Crowd Analytics Market by Organization Size
10.4.5 South Korea Crowd Analytics Market by Vertical
10.5 Australia Crowd Analytics Market
10.5.1 Australia Crowd Analytics Market by Deployment Mode
10.5.2 Australia Crowd Analytics Market by Component
10.5.2.1 Australia Crowd Analytics Market by Services Type
10.5.3 Australia Crowd Analytics Market by Application
10.5.4 Australia Crowd Analytics Market by Organization Size
10.5.5 Australia Crowd Analytics Market by Vertical
10.6 Malaysia Crowd Analytics Market
10.6.1 Malaysia Crowd Analytics Market by Deployment Mode
10.6.2 Malaysia Crowd Analytics Market by Component
10.6.2.1 Malaysia Crowd Analytics Market by Services Type
10.6.3 Malaysia Crowd Analytics Market by Application
10.6.4 Malaysia Crowd Analytics Market by Organization Size
10.6.5 Malaysia Crowd Analytics Market by Vertical
10.7 Rest of Asia Pacific Crowd Analytics Market
10.7.1 Rest of Asia Pacific Crowd Analytics Market by Deployment Mode
10.7.2 Rest of Asia Pacific Crowd Analytics Market by Component
10.7.2.1 Rest of Asia Pacific Crowd Analytics Market by Services Type
10.7.3 Rest of Asia Pacific Crowd Analytics Market by Application
10.7.4 Rest of Asia Pacific Crowd Analytics Market by Organization Size
10.7.5 Rest of Asia Pacific Crowd Analytics Market by Vertical
Chapter 11. Company Profiles
11.1 Nokia Corporation
11.1.1 Company Overview
11.1.2 Financial Analysis
11.1.3 Segmental and Regional Analysis
11.1.4 Research & Development Expense
11.1.5 Recent Strategies and Developments
11.1.5.1 Partnerships, Collaborations, and Agreements
11.1.6 SWOT Analysis
11.2 NEC Corporation
11.2.1 Company Overview
11.2.2 Financial Analysis
11.2.3 Segmental and Regional Analysis
11.2.4 Research & Development Expenses
11.2.5 SWOT Analysis
11.3 Amazon Web Services, Inc. (Amazon.com, Inc.)
11.3.1 Company Overview
11.3.2 Financial Analysis
11.3.3 Segmental Analysis
11.3.4 SWOT Analysis
11.4 Savannah Simulations AG
11.4.1 Company Overview
11.5 Sightcorp (Raydiant Inc.)
11.5.1 Company Overview
11.5.2 SWOT Analysis
11.6 IBM Corporation
11.6.1 Company Overview
11.6.2 Financial Analysis
11.6.3 Regional & Segmental Analysis
11.6.4 Research & Development Expenses
11.6.5 SWOT Analysis
11.7 Hewlett Packard Enterprise Company
11.7.1 Company Overview
11.7.2 Financial Analysis
11.7.3 Segmental and Regional Analysis
11.7.4 Research & Development Expense
11.7.5 SWOT Analysis
11.8 Intel Corporation
11.8.1 Company Overview
11.8.2 Financial Analysis
11.8.3 Segmental and Regional Analysis
11.8.4 Research & Development Expenses
11.8.5 SWOT Analysis
11.9 Cisco Systems, Inc.
11.9.1 Company Overview
11.9.2 Financial Analysis
11.9.3 Regional Analysis
11.9.4 Research & Development Expense
11.9.5 SWOT Analysis
11.10. Aptiv PLC
11.10.1 Company Overview
11.10.2 Financial Analysis
11.10.3 Segmental and Regional Analysis
11.10.4 Research & Development Expense
11.10.5 SWOT Analysis

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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