Table of Contents
Chapter 1. Global Crowd Analytics Market Executive Summary
1.1. Global Crowd Analytics Market Size & Forecast (2024-2032)
1.2. Regional Summary
1.3. Segmental Summary
1.3.1. By Solution
1.3.2. By Deployment Mode
1.3.3. By Application
1.3.4. By End User
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion
Chapter 2. Global Crowd Analytics Market Definition and Research Assumptions
2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
2.3.1. Inclusion & Exclusion
2.3.2. Limitations
2.3.3. Supply Side Analysis
2.3.3.1. Availability
2.3.3.2. Infrastructure
2.3.3.3. Regulatory Environment
2.3.3.4. Market Competition
2.3.3.5. Economic Viability (Consumer's Perspective)
2.3.4. Demand Side Analysis
2.3.4.1. Regulatory Frameworks
2.3.4.2. Technological Advancements
2.3.4.3. Environmental Considerations
2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates
Chapter 3. Global Crowd Analytics Market Dynamics
3.1. Market Drivers
3.1.1. Rise in Smart City Initiatives
3.1.2. Increasing Number of Air and Rail Travelers
3.1.3. Growing Popularity of Business Intelligence Solutions
3.2. Market Challenges
3.2.1. Lack of IT Infrastructure in Developing Countries
3.2.2. High Costs of Crowd Analytics Solutions
3.3. Market Opportunities
3.3.1. Expansion of IoT and AI Technologies
3.3.2. Increased ICT Spending in Developed Nations
3.3.3. Growing Demand for Predictive Analytics for Crowd Flow Management
Chapter 4. Global Crowd Analytics Market Industry Analysis
4.1. Porter's 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. PESTEL Analysis
4.2.1. Political
4.2.2. Economic
4.2.3. Social
4.2.4. Technological
4.2.5. Environmental
4.2.6. Legal
4.3. Top Investment Opportunities
4.4. Top Winning Strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Global Crowd Analytics Market Size & Forecasts by Solution (2024-2032)
5.1. Segment Dashboard
5.2. Global Crowd Analytics Market: Solution Revenue Trend Analysis, 2021 & 2030 (USD Million)
5.2.1. Software
5.2.2. Service
Chapter 6. Global Crowd Analytics Market Size & Forecasts by Deployment Mode (2024-2032)
6.1. Segment Dashboard
6.2. Global Crowd Analytics Market: Deployment Mode Revenue Trend Analysis, 2021 & 2030 (USD Million)
6.2.1. On-premise
6.2.2. Cloud
Chapter 7. Global Crowd Analytics Market Size & Forecasts by Application (2024-2032)
7.1. Segment Dashboard
7.2. Global Crowd Analytics Market: Application Revenue Trend Analysis, 2021 & 2030 (USD Million)
7.2.1. Mobility & Tracking
7.2.2. Crowd Flow Management
7.2.3. Safety & Security
7.2.4. Others
Chapter 8. Global Crowd Analytics Market Size & Forecasts by End User (2024-2032)
8.1. Segment Dashboard
8.2. Global Crowd Analytics Market: End User Revenue Trend Analysis, 2021 & 2030 (USD Million)
8.2.1. Retail
8.2.2. Transportation
8.2.3. Hospitality & Tourism
8.2.4. Others
Chapter 9. Global Crowd Analytics Market Size & Forecasts by Region (2024-2032)
9.1. North America Crowd Analytics Market
9.1.1. U.S. Crowd Analytics Market
9.1.1.1. Solution breakdown size & forecasts, 2024-2032
9.1.1.2. Deployment Mode breakdown size & forecasts, 2024-2032
9.1.1.3. Application breakdown size & forecasts, 2024-2032
9.1.2. Canada Crowd Analytics Market
9.2. Europe Crowd Analytics Market
9.2.1. UK Crowd Analytics Market
9.2.2. Germany Crowd Analytics Market
9.2.3. France Crowd Analytics Market
9.2.4. Italy Crowd Analytics Market
9.2.5. Rest of Europe Crowd Analytics Market
9.3. Asia-Pacific Crowd Analytics Market
9.3.1. China Crowd Analytics Market
9.3.2. Japan Crowd Analytics Market
9.3.3. India Crowd Analytics Market
9.3.4. Australia Crowd Analytics Market
9.3.5. Rest of Asia-Pacific Crowd Analytics Market
9.4. LAMEA Crowd Analytics Market
9.4.1. Latin America Crowd Analytics Market
9.4.2. Middle East Crowd Analytics Market
9.4.3. Africa Crowd Analytics Market
Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. Savannah Simulations AG
10.3.1.1. Key Information
10.3.1.2. Overview
10.3.1.3. Financial (Subject to Data Availability)
10.3.1.4. Product Summary
10.3.1.5. Market Strategies
10.3.2. NEC Corporation
10.3.3. GEODAN Next
10.3.4. MIRA
10.3.5. Crowd Dynamics International
10.3.6. Walkbase
10.3.7. AGT International GmbH
10.3.8. Spigit, Inc. (Planview)
10.3.9. Crowd Vision Limited
10.3.10. Nokia Corporation
10.3.11. Spigit, Inc.
10.3.12. Securion Systems
10.3.13. Walkbase
10.3.14. Nokia Corporation
10.3.15. Wavestore
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes