Global Crowd Analytics Market Size, Share, Opportunities, And Trends By Deployment (On-premise, Cloud), By Organization Size (Small And Medium, Large), By Industry Vertical (Travel And Tourism, Media And Entertainment, Retail, Hospitality, Others), And Geography - Forecasts From 2023 To 2028

The global crowd analytics market is anticipated to achieve a compound annual growth rate of 18.06% throughout the forecast period, reaching a value of US$1,874.051 million by 2028, up from US$586.250 million in 2021.

Crowd analytics is an emerging niche of analytics technology domain that focuses primarily on crowd metrics including interpretation of crowd movements, detecting abnormalities, and other parameters that enable the betterment of designing areas and better crowd management. The increasing adoption of artificial intelligence in multiple spaces including retail surveillance and related domains is primarily the potential reason, for pushing the market for crowd analytics on a global scale.

For instance, as per the September 2019 published The Global Expansion of AI Surveillance paper of the Carnegie Endowment for International Peace, the AI surveillance technology has been growing rapidly globally with at least 74 out of the 176 countries actively adopting the same for multiple use cases including smart/city platforms, smart policing, and facial recognition systems.

The increasing use of AI in surveillance is anticipated to create abundant opportunities for crowd analytics technology, thereby increasing the market potential in the forecasted period. Moreover, market developments and increasing consumer gatherings are also expected to drive the growth of the same.

Increasing foot traffic and associated market developments to fuel the market growth

As per the June 2023 Foot Traffic Indicators Towards Global Fast-Fashion Expansion publication by the global commercial real estate services provider Colliers, global retail fashion companies across Europe and other major regions have been witnessing an increasing trend in foot traffic at their store locations. For example, Uniqlo, the world’s 3rd largest apparel retailer, saw a 14.4% increase in foot traffic in 2022. Additionally, other fashion retailers like Primark, Inditex, and H&M witnessed an average 0.3% increase in foot traffic for the first quarter of 2023. 

Consequently, Primark, in its September 2022 news release, announced expansions across the US locations for the next 5 years, targeting the addition of 60 stores during the same period. 

Furthermore, as per the Retail Trends- 2022 Forecast by Placer.ai, a location intelligence and foot traffic data software company, offline market visits have been increasing post the peak COVID period and have also surpassed 2019 levels for some retail chains. For example, Target witnessed significant positive changes in customer visits in 2019, which is expected to raise the scope of the crowd analytics market in both the short and medium term of the timeline.

In addition, strategic market steps by major crowd analytics players are also expected to boost the market growth rate. For instance, as per the January 2022 blog by digital analytics company Raydiant, the company announced the acquisition of a crowd monitoring and analytics company, Sightcorp, whose operations are powered by the capabilities of artificial intelligence. 

North America is predicted to hold the largest market share for the market

The use of crowd analytics solutions is being driven by growing security concerns, with an emphasis on improving public safety in a variety of contexts which is anticipated to drive the regional market. The use of these technologies is given top priority by smart city projects throughout the region to maximize urban management and raise overall municipal efficiency.

Concerns about public safety and security are driving the crowd analytics business in the United States, with applications for tracking crowd behavior in many contexts. Crowd analytics is integrated into smart city programs for effective public services, traffic control, and urban planning. In addition, crowd analytics is used by retailers to improve consumer experiences, and it is also used by the events industry to organize large-scale gatherings. The need for data-driven decision-making and ongoing technology improvements drive the broad adoption of crowd analytics solutions across industries.

Furthermore, by combining cutting-edge technology, such as IoT and data analytics, for better public safety, more efficient urban management, and better event planning in urban settings, smart city projects stimulate the expansion of the crowd analytics market. The U.S. DOT has granted millions of dollars in grants to fund community-driven, cutting-edge transportation initiatives to reduce traffic, boost connectivity, and enhance opportunity access, building on the success of the Smart City Challenge. As per the report published by U.S. Dot the most common SC&C activities were traffic management, data management, public transportation, and automation or connectivity.

Crowd analytics uses cutting-edge technologies to track and examine crowd behavior in real-time, greatly improving safety and security. These technologies help in the early detection of security concerns by spotting unusual activity and possible threats. By offering real-time monitoring capabilities and optimizing evacuation plans based on anticipated crowd movements during emergencies, they support emergency response activities. Additionally, by using insights into crowd dynamics, crowd flow management is enhanced, reducing stampedes and congestion. Through the identification of persons of interest or possible threats, surveillance and identification technologies like facial recognition and behavioral biometrics improve security measures.

Market Key Developments

• In January 2023, Ouster Gemini, a cloud-backed digital lidar perception platform for crowd analytics, security, and intelligent transportation systems, was launched by Ouster, Inc., a leading supplier of high-resolution digital lidar sensors for the automotive, industrial, robotics, and smart infrastructure industries. With Ouster Gemini, consumers may use the 3D data from one or more fused Ouster lidar sensors to recognize, classify, and track moving objects in real-time.

Segmentation:

• By Deployment
  • On-premise
  • Cloud
• By Organization Size
  • Small and Medium
  • Large
• By Industrial Vertical
  • Travel and Tourism
  • Media and Entertainment
  • Retail
  • Hospitality
  • Others
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Others
  • Asia Pacific
    • Japan
    • China
    • India
    • South Korea
    • Indonesia
    • Thailand
    • Others

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1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

2.1. Research Design

2.2. Research Data

2.3. Validation

3. EXECUTIVE SUMMARY

3.1. Key Findings

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

5. GLOBAL CROWD ANALYTICS MARKET BY DEPLOYMENT 

5.1. Introduction

5.2. On-premise

5.3. Cloud

6. GLOBAL CROWD ANALYTICS MARKET BY ORGANIZATION SIZE

6.1. Introduction

6.2. Small and Medium

6.3. Large

7. GLOBAL CROWD ANALYTICS MARKET BY INDUSTRY VERTICAL

7.1. Introduction

7.2. Travel and Tourism

7.3. Media and Entertainment

7.4. Retail

7.5. Hospitality

7.6. Others

8. GLOBAL CROWD ANALYTICS MARKET BY GEOGRAPHY

8.1. Introduction

8.2. North America

8.2.1. By Deployment

8.2.2. By Organization Size

8.2.3. By Industry Vertical

8.2.4. By Country

8.2.4.1. USA

8.2.4.2. Canada 

8.2.4.3. Mexico

8.3. South America

8.3.1. By Deployment

8.3.2. By Organization Size

8.3.3. By Industry Vertical

8.3.4. By Country

8.3.4.1. Brazil

8.3.4.2. Argentina

8.3.4.3. Others

8.4. Europe

8.4.1. By Deployment

8.4.2. By Organization Size

8.4.3. By Industry Vertical

8.4.4. By Country

8.4.4.1. Germany

8.4.4.2. France

8.4.4.3. United Kingdom

8.4.4.4. Spain

8.4.4.5. Italy

8.4.4.6. Others

8.5. Middle East and Africa

8.5.1. By Deployment

8.5.2. By Organization Size

8.5.3. By Industry Vertical

8.5.4. By Country

8.5.4.1. Saudi Arabia

8.5.4.2. UAE

8.5.4.3. Israel

8.5.4.4. Others

8.6. Asia Pacific

8.6.1. By Deployment

8.6.2. By Organization Size

8.6.3. By Industry Vertical

8.6.4. By Country

8.6.4.1. China

8.6.4.2. Japan

8.6.4.3. India

8.6.4.4. South Korea

8.6.4.5. Indonesia

8.6.4.6. Taiwan

8.6.4.7. Thailand

8.6.4.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisition, Agreements, and Collaborations

10. COMPANY PROFILES

10.1. AGT (Advanced German Technology)

10.2. CrowdANALYTIX

10.3. Sightcorp (Radiant)

10.4. Nokia

10.5. NEC Corporation

10.6. Wavestore

10.7. Walkbase (STRATACACHE)

10.8. Crowd Vision Limited

AGT (Advanced German Technology)

CrowdANALYTIX

Sightcorp (Radiant)

Nokia

NEC Corporation

Wavestore

Walkbase (STRATACACHE)

Crowd Vision Limited