PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1443402
PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1443402
Global Queue Managements System Market is valued at approximately USD 562.4 Million in 2022 and is anticipated to grow with a healthy growth rate of more than 4.0 % during the forecast period 2023-2030. A Queue Management System (QMS) consists of tools utilized for the management and analysis of customer or visitor flow within a queue. These systems assist service providers in improving service delivery, boosting employee productivity, and refining the overall queuing process. The Queue Managements System Market is expanding because of factors such as rising demand for efficient systems to manage and structure queues, expansion of the aviation industry and surging demand for virtual queue systems.
The growth and development of airports, including expansion and infrastructure improvements, are expected to drive increased demand for queue management systems in the aviation industry. Moreover, as airports expand and attract more airlines and destinations, passenger traffic tends to increase. With more passengers, airports face greater challenges in managing queues at check-in counters, security checkpoints, immigration counters, and boarding gates. Queue management systems help airports streamline the flow of passengers, minimize the waiting time and enhance the overall passenger experience. According to an analysis by the Oliver Wyman Forum in 2023, the commercial aviation fleet is forecast to grow by 33%, reaching over 36,000 aircraft globally by 2033. Additionally, the Airports Council International (ACI) World anticipates an average annual increase of 5.8% in passenger traffic from 2022 to 2040, with over 19 billion passengers projected to utilize airports each year until 2040. Additionally, due to decrease the occurrence of prolonged lines at medical establishments, hospitals and other healthcare providers are demonstrating their willingness to implement queue management systems leading to reduced waiting and service times. Furthermore, various queue management systems in the market notify physicians about waiting times, thereby enhancing the systematic nature of operational tasks. However, factors such as the high initial cost of queue management systems and data privacy and security concerns hinder the market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global Queue Managements System Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022. The rapid technological advancements and strong emphasis on customer-centric solutions in the region have led to a growing demand for innovative queue management systems in industries such as healthcare, retail, and entertainment. Furthermore, the growing adoption rates of digital solutions, increased demand for contactless services, and the constant drive for improved service quality are also contributing factors to the anticipated substantial growth in this region. Asia-Pacific is expected to grow significantly over the forecast period owing to factors such as rising urbanization and economic growth, expansion of retail and banking sectors, rising focus on improved customer experience and surging investments in airport infrastructure.
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
List of tables and figures are dummy in nature, final lists may vary in the final deliverable
List of tables and figures are dummy in nature, final lists may vary in the final deliverable