According to a research report “ Crowd Analytics Market” by Deployment (Cloud, On-premises) End-user (Transportation, Retail, Others) Geography (North America, Europe, APAC, South America, Middle East and Africa)- Global Forecast to 2028 published by Technavio, the market size is estimated to grow by USD 4702.8 million, at a CAGR of 32.14% during the forecast period. The surge in passenger traffic through air and rail transportation modes has resulted in a heightened need for advanced infrastructure planning and crowd management solutions. In 2022, Indian airlines reported a significant increase in domestic passenger numbers, with 123.2 million passengers, up from 83.8 million in the previous year. Similarly, US airlines experienced a 33.2% growth in scheduled service passengers in January 2022, totaling 46.3 million. To address the challenges of managing large crowds at common junctions and ticket counters in regions like APAC, North America, Europe, and others, vendors like Thales are transforming the transport sector with innovative crowd analytics solutions. Thales' Distributed Intelligent Video Analytics, for instance, extracts people counting data from CCTV cameras using computer vision algorithms. This technology assists transportation providers in optimizing resources, enhancing security, and improving overall passenger experience..
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By Deployment, the Cloud segment is projected to dominate the market size in 2024
In the crowd analytics market, the cloud deployment segment held the largest market share in 2022, given its convenience and accessibility through various devices. Cloud-based crowd analytics solutions offer data collection, analysis, storage, and sharing via cloud-service providers. The scalability of cloud computing, combined with advanced crowd analytics, enables the identification of patterns and extraction of new insights. Corporations are increasingly utilizing cloud-based crowd analytics to gain a competitive edge, advance scientific research, and enhance people's lives. The flexibility and efficiency of cloud platforms make them an indispensable tool for researchers and businesses alike.
By End-user, Transportation segment is expected to hold the largest market size for the year 2024
In the global crowd analytics market, the transportation sector held the largest end-user segment share in 2022. Managing and comprehending crowd behavior in this sector is a significant challenge. To address these complexities, crowd analytics solutions have become indispensable. These technologies offer numerous benefits in transportation, including enhancing safety in crowded platforms and gates, managing smart hubs, understanding footfall patterns, exceptionally managing operational issues, and quantifying asset utilization, such as ticket machines, information booths, and service desks. Notable providers of crowd analytics solutions in this sector include Crowd Dynamics International Ltd. and CrowdVision Ltd. For instance, Crowd Dynamics International has developed a Transport Assessment and Framework Travel Plan for Coquet Enterprise Park to facilitate a large-scale retail development.
North America is forecasted to hold the largest market size by region in 2024
The Crowd Analytics Market represents a significant business opportunity for organizations seeking to optimize customer experiences, enhance operational efficiency, and mitigate risks. By leveraging advanced technologies such as computer vision, machine learning, and real-time data processing, crowd analytics solutions enable businesses to gain valuable insights from large and complex data sets, informing data-driven decision-making and strategic planning.
The Crowd Analytics Market growth and forecasting report also includes detailed analyses of the competitive landscape of the market growth and forecasting and information about 20 market companies, including:
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Research Analysis Overview
The Crowd Analytics market is witnessing significant growth as defense organizations, public safety agencies, and commercial entities increasingly rely on advanced technologies to ensure security and efficiency. Filmed visuals from cameras and sensors in commercial buildings, public transport, retail malls, stadiums, conference centers, retail stores, city malls, train stations, and airports are being analyzed using Enhanced Video Analytics to detect suspects and crowd behavior. This data is used to optimize city planning, improve public surveillance, and enhance modern restaurant management. The National Restaurant Association and the restaurant industry are leveraging crowd analytics to understand customer preference patterns and boost operational efficiency. Telecom operators are also playing a crucial role in this market by providing the necessary infrastructure and connectivity for real-time data processing and analysis. Overall, the Crowd Analytics market is poised for substantial growth as it offers valuable insights into vital infrastructure, public safety, and commercial operations.
Market Research Overview
The Crowd Analytics market is experiencing significant growth as businesses and organizations seek to enhance security, improve operational efficiencies, and gain valuable insights into customer behavior. One of the key trends in this market is the adoption of SaaS version of crowd analytics solutions, which offer scalability, flexibility, and ease of deployment. Cloudera, Crowd Strike, and NEC are among the major players in this market, providing advanced analytic software that leverages deep learning technology, computer vision, and AI and automation for people counting, behavior detection, and object recognition. These solutions can be deployed on various network infrastructures, including mobile networks, fixed-line networks, and wireless networks, and can be integrated with telecom equipment for real-time data handling and risk management. The retail sector, manufacturing, and transportation are some of the verticals that are increasingly adopting crowd analytics for client retention, incident analytics software, and group transportation planning. Potential risks, such as terrorist acts and criminal activity, are being addressed through proactive strategies that involve the use of filmed visuals, suspect identification, and threat detection. City governments, shopping malls, international airports, and stadiums are also investing in intelligent surveillance systems that use facial recognition, pattern recognition, and advanced analytic software for efficiency gains and crowd flow management. The cloud deployment paradigm offers a scalable solution for handling large volumes of data and providing real-time insights, making it an attractive option for businesses and organizations across various industries. The media and entertainment, IT and telecommunications, banking, and hospitality tourism sectors are also adopting crowd analytics for business intelligence solutions, customer preference patterns, and operational efficiencies. The use of AI approaches, such as NeoFace Face Recognition and Enhanced Video Analytics, is becoming increasingly common for incident detection and threat assessment. The potential risks associated with crowd analytics, such as privacy concerns and data security, are being addressed through robust security hygiene practices and the use of cloud-delivered endpoints. The market for crowd analytics is expected to continue growing, driven by the increasing adoption of IoT, hybrid cloud, and the need for proactive security and safety measures in various sectors.
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