
Europe 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
Description
The Europe Crowd Analytics Market would witness market growth of 23.3% CAGR during the forecast period (2024-2031).
The Germany market dominated the Europe Crowd Analytics Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $570.7 million by 2031. The UK market is exhibiting a CAGR of 22.2% during (2024 - 2031). Additionally, The France market would experience a CAGR of 24.3% during (2024 - 2031).
Beyond commercial applications, these analytics has proven to be a valuable asset in public safety, emergency response, and disaster management. Governments and law enforcement agencies rely on AI-powered crowd monitoring systems to detect suspicious activities, identify unauthorized gatherings, and enhance surveillance measures. The ability to analyze crowd behavior in real-time enables authorities to prevent stampedes, riots, and security breaches, ensuring the safety of citizens in high-risk environments.
Law enforcement agencies, municipal planners, and event planners have been using these analytics extensively as a result of the growing demand for public safety and security. AI-powered crowd monitoring enables real-time crime prevention, emergency response, and disaster management by analyzing movement patterns, detecting anomalies, and providing actionable insights.
The European region’s focus on leveraging technology for urban planning, public safety, and smart city initiatives has created a favorable environment for these analytics adoption. Luxembourg, a global financial and business hub, presents significant potential for crowd analytics implementation in its growing infrastructure and public security sectors. Contributing over 30% to the country’s GDP, Luxembourg’s financial and commercial districts attract high foot traffic, necessitating real-time crowd monitoring and predictive analytics for safety and operational efficiency. The city’s integration of AI-powered surveillance and real-time crowd insights helps optimize pedestrian flow, enhance security, and improve emergency response planning. These tools allow urban planners and security agencies to create data-driven public spaces, reduce congestion, and maintain an efficient infrastructure in an increasingly digitized environment. These trends underscore Europe’s growing role in advancing this market, ensuring safer, more efficient, data-driven environments across cities and industries.
Based on Deployment Mode, the market is segmented into Cloud, and On-premise. Based on Component, the market is segmented into Solution, and Services (Managed Services, and Professional Services). Based on Application, the market is segmented into Security & Safety, Crowd Management, Tracking & Monitoring, and Other Application. Based on Organization Size, the market is segmented into Large Enterprises, and Small & Medium Enterprises. Based on Vertical, the market is segmented into Consumer Goods & Retail, Transportation, Public Safety, Media & Entertainment, BFSI, Healthcare & Life Sciences, Travel & Tourism, and Other Vertical. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
List of Key Companies Profiled
By Deployment Mode
The Germany market dominated the Europe Crowd Analytics Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $570.7 million by 2031. The UK market is exhibiting a CAGR of 22.2% during (2024 - 2031). Additionally, The France market would experience a CAGR of 24.3% during (2024 - 2031).
Beyond commercial applications, these analytics has proven to be a valuable asset in public safety, emergency response, and disaster management. Governments and law enforcement agencies rely on AI-powered crowd monitoring systems to detect suspicious activities, identify unauthorized gatherings, and enhance surveillance measures. The ability to analyze crowd behavior in real-time enables authorities to prevent stampedes, riots, and security breaches, ensuring the safety of citizens in high-risk environments.
Law enforcement agencies, municipal planners, and event planners have been using these analytics extensively as a result of the growing demand for public safety and security. AI-powered crowd monitoring enables real-time crime prevention, emergency response, and disaster management by analyzing movement patterns, detecting anomalies, and providing actionable insights.
The European region’s focus on leveraging technology for urban planning, public safety, and smart city initiatives has created a favorable environment for these analytics adoption. Luxembourg, a global financial and business hub, presents significant potential for crowd analytics implementation in its growing infrastructure and public security sectors. Contributing over 30% to the country’s GDP, Luxembourg’s financial and commercial districts attract high foot traffic, necessitating real-time crowd monitoring and predictive analytics for safety and operational efficiency. The city’s integration of AI-powered surveillance and real-time crowd insights helps optimize pedestrian flow, enhance security, and improve emergency response planning. These tools allow urban planners and security agencies to create data-driven public spaces, reduce congestion, and maintain an efficient infrastructure in an increasingly digitized environment. These trends underscore Europe’s growing role in advancing this market, ensuring safer, more efficient, data-driven environments across cities and industries.
Based on Deployment Mode, the market is segmented into Cloud, and On-premise. Based on Component, the market is segmented into Solution, and Services (Managed Services, and Professional Services). Based on Application, the market is segmented into Security & Safety, Crowd Management, Tracking & Monitoring, and Other Application. Based on Organization Size, the market is segmented into Large Enterprises, and Small & Medium Enterprises. Based on Vertical, the market is segmented into Consumer Goods & Retail, Transportation, Public Safety, Media & Entertainment, BFSI, Healthcare & Life Sciences, Travel & Tourism, and Other Vertical. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
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
By Deployment Mode
- Cloud
- On-premise
- Solution
- Services
- Managed Services
- Professional Services
- Security & Safety
- Crowd Management
- Tracking & Monitoring
- Other Application
- Large Enterprises
- Small & Medium Enterprises
- Consumer Goods & Retail
- Transportation
- Public Safety
- Media & Entertainment
- BFSI
- Healthcare & Life Sciences
- Travel & Tourism
- Other Vertical
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Table of Contents
157 Pages
- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 Europe Crowd Analytics Market, by Deployment Mode
- 1.4.2 Europe Crowd Analytics Market, by Component
- 1.4.3 Europe Crowd Analytics Market, by Application
- 1.4.4 Europe Crowd Analytics Market, by Organization Size
- 1.4.5 Europe Crowd Analytics Market, by Vertical
- 1.4.6 Europe 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. Europe Crowd Analytics Market by Deployment Mode
- 5.1 Europe Cloud Market by Country
- 5.2 Europe On-premise Market by Country
- Chapter 6. Europe Crowd Analytics Market by Component
- 6.1 Europe Solution Market by Country
- 6.2 Europe Services Market by Country
- 6.3 Europe Crowd Analytics Market by Services Type
- 6.3.1 Europe Managed Services Market by Country
- 6.3.2 Europe Professional Services Market by Country
- Chapter 7. Europe Crowd Analytics Market by Application
- 7.1 Europe Security & Safety Market by Country
- 7.2 Europe Crowd Management Market by Country
- 7.3 Europe Tracking & Monitoring Market by Country
- 7.4 Europe Other Application Market by Country
- Chapter 8. Europe Crowd Analytics Market by Organization Size
- 8.1 Europe Large Enterprises Market by Country
- 8.2 Europe Small & Medium Enterprises Market by Country
- Chapter 9. Europe Crowd Analytics Market by Vertical
- 9.1 Europe Consumer Goods & Retail Market by Country
- 9.2 Europe Transportation Market by Country
- 9.3 Europe Public Safety Market by Country
- 9.4 Europe Media & Entertainment Market by Country
- 9.5 Europe BFSI Market by Country
- 9.6 Europe Healthcare & Life Sciences Market by Country
- 9.7 Europe Travel & Tourism Market by Country
- 9.8 Europe Other Vertical Market by Country
- Chapter 10. Europe Crowd Analytics Market by Country
- 10.1 Germany Crowd Analytics Market
- 10.1.1 Germany Crowd Analytics Market by Deployment Mode
- 10.1.2 Germany Crowd Analytics Market by Component
- 10.1.2.1 Germany Crowd Analytics Market by Services Type
- 10.1.3 Germany Crowd Analytics Market by Application
- 10.1.4 Germany Crowd Analytics Market by Organization Size
- 10.1.5 Germany Crowd Analytics Market by Vertical
- 10.2 UK Crowd Analytics Market
- 10.2.1 UK Crowd Analytics Market by Deployment Mode
- 10.2.2 UK Crowd Analytics Market by Component
- 10.2.2.1 UK Crowd Analytics Market by Services Type
- 10.2.3 UK Crowd Analytics Market by Application
- 10.2.4 UK Crowd Analytics Market by Organization Size
- 10.2.5 UK Crowd Analytics Market by Vertical
- 10.3 France Crowd Analytics Market
- 10.3.1 France Crowd Analytics Market by Deployment Mode
- 10.3.2 France Crowd Analytics Market by Component
- 10.3.2.1 France Crowd Analytics Market by Services Type
- 10.3.3 France Crowd Analytics Market by Application
- 10.3.4 France Crowd Analytics Market by Organization Size
- 10.3.5 France Crowd Analytics Market by Vertical
- 10.4 Russia Crowd Analytics Market
- 10.4.1 Russia Crowd Analytics Market by Deployment Mode
- 10.4.2 Russia Crowd Analytics Market by Component
- 10.4.2.1 Russia Crowd Analytics Market by Services Type
- 10.4.3 Russia Crowd Analytics Market by Application
- 10.4.4 Russia Crowd Analytics Market by Organization Size
- 10.4.5 Russia Crowd Analytics Market by Vertical
- 10.5 Spain Crowd Analytics Market
- 10.5.1 Spain Crowd Analytics Market by Deployment Mode
- 10.5.2 Spain Crowd Analytics Market by Component
- 10.5.2.1 Spain Crowd Analytics Market by Services Type
- 10.5.3 Spain Crowd Analytics Market by Application
- 10.5.4 Spain Crowd Analytics Market by Organization Size
- 10.5.5 Spain Crowd Analytics Market by Vertical
- 10.6 Italy Crowd Analytics Market
- 10.6.1 Italy Crowd Analytics Market by Deployment Mode
- 10.6.2 Italy Crowd Analytics Market by Component
- 10.6.2.1 Italy Crowd Analytics Market by Services Type
- 10.6.3 Italy Crowd Analytics Market by Application
- 10.6.4 Italy Crowd Analytics Market by Organization Size
- 10.6.5 Italy Crowd Analytics Market by Vertical
- 10.7 Rest of Europe Crowd Analytics Market
- 10.7.1 Rest of Europe Crowd Analytics Market by Deployment Mode
- 10.7.2 Rest of Europe Crowd Analytics Market by Component
- 10.7.2.1 Rest of Europe Crowd Analytics Market by Services Type
- 10.7.3 Rest of Europe Crowd Analytics Market by Application
- 10.7.4 Rest of Europe Crowd Analytics Market by Organization Size
- 10.7.5 Rest of Europe 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
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