Global Crowd Analytics Market Size Study, by Solution, by Deployment Mode, by Application, by End User, and Regional Forecasts 2022-2032

Description

The Global Crowd Analytics Market was valued at USD 1323.04 million in 2023 and growing at a compound annual growth rate (CAGR) of 20.4% from 2024 to 2032. Crowd analytics leverages artificial intelligence and big data technologies to analyze and predict crowd movement and behavior, providing actionable insights for various industries such as transportation, retail, hospitality, and smart city management. Using data from sources like CCTV, commercial off-the-shelf cameras, and consumer data, crowd analytics delivers real-time information that helps optimize crowd flow, resource utilization, and safety measures.

The growing demand for advanced crowd management tools in urban areas, coupled with the increasing number of air and train travelers, has significantly propelled the market's growth. With the rise of smart cities and the need for efficient public monitoring systems, the market for crowd analytics is expanding across regions such as North America, Europe, and Asia-Pacific. However, the lack of IT infrastructure in developing countries remains a major restraint for market growth. Conversely, the growing adoption of business intelligence solutions to analyze consumer behavior presents substantial growth opportunities for the crowd analytics market in the coming years.

The hospitality and tourism segment is anticipated to exhibit the fastest growth during the forecast period, driven by the increasing need for crowd management in multicultural and international tourism hubs. Additionally, the on-premise deployment model continues to dominate the market due to its preference among large enterprises for high-level data security and system management.

The Asia-Pacific region is the fastest-growing region in the crowd analytics market. This rapid growth is driven by several key factors. Firstly, the region has experienced significant urbanization and population growth, leading to increased adoption of smart city initiatives. Governments and city planners are increasingly utilizing crowd analytics to manage urban infrastructure, improve public safety, and optimize transportation systems. Secondly, the proliferation of smartphones and advancements in IoT (Internet of Things) technology in countries like China, India, and Japan have enabled the collection and analysis of large volumes of crowd data. Additionally, the region's strong focus on technological innovation and digital transformation across various industries, including retail, entertainment, and transportation, is fostering the demand for crowd analytics solutions. The presence of numerous tech-savvy consumers and a growing number of businesses seeking to enhance customer experiences and operational efficiencies further fuel this market expansion. Moreover, increasing investments in AI and machine learning technologies by both governments and private sectors are supporting the development and implementation of sophisticated crowd analytics tools. All these factors collectively contribute to the Asia-Pacific region's status as the fastest-growing market for crowd analytics

Major Market Players Included in this Report:

Savannah Simulations AG
NEC Corporation
GEODAN Next
MIRA
Crowd Dynamics International
Walkbase
AGT International GmbH
Spigit, Inc. (Planview)
Crowd Vision Limited
Nokia Corporation
Spigit, Inc.
Securion Systems
Walkbase
Nokia Corporation
Wavestore

The detailed segments and sub-segment of the market are explained below:

By Solution:

Software
Service

By Deployment Mode:

On-premise
Cloud

By Application:

Mobility & Tracking
Crowd Flow Management
Safety & Security
Others

By End User:

Retail
Transportation
Hospitality & Tourism
Others

By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Italy
Rest of Europe
Asia Pacific
China
India
Japan
Australia
Rest of Asia-Pacific
Latin America
Brazil
Mexico
Rest of Latin America
Middle East and Africa
Saudi Arabia
South Africa

Years considered for the study are as follows:

Historical year - 2022
Base year - 2023
Forecast period - 2024 to 2032

Key Takeaways:

Market Estimates & Forecast for 10 years from 2022 to 2032.
Annualized revenues and regional-level analysis for each market segment.
Detailed analysis of geographical landscape with Country-level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approach.
Analysis of competitive structure of the market.
Demand side and supply side analysis of the market.

Chapter 1. Global Crowd Analytics Market Executive Summary

1.1. Global Crowd Analytics Market Size & Forecast (2022-2032)
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 (2022-2032)

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 (2022-2032)

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 (2022-2032)

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 (2022-2032)

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 (2022-2032)

9.1. North America Crowd Analytics Market
- 9.1.1. U.S. Crowd Analytics Market
  - 9.1.1.1. Solution breakdown size & forecasts, 2022-2032
  - 9.1.1.2. Deployment Mode breakdown size & forecasts, 2022-2032
  - 9.1.1.3. Application breakdown size & forecasts, 2022-2032
- 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