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¿ëµµº°·Î ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ ´ë±â¿ °ü¸® ½Ã½ºÅÛ ½ÃÀåÀº BFSI, º´¿ø, ¼Ò¸ÅÁ¡, À¯Æ¿¸®Æ¼ ¹× °øÇ×, ·¹½ºÅä¶û, °ü°ø¼, ±âŸ·Î ±¸ºÐµÇ¸ç, 2022³â¿¡´Â BFSI ºÎ¹®ÀÌ °¡Àå Å« Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.
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Q-MATIC Group AB, Qminder Ltd, Q-nomy Inc, Aurionpro Solutions Ltd, Advantech Co Ltd´Â ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ ´ë±â¿ °ü¸® ½Ã½ºÅÛ ½ÃÀå¿¡¼ Ȱµ¿ÇÏ´Â ÁÖ¿ä ±â¾÷ÀÔ´Ï´Ù.
The Asia Pacific queue management system market was valued at US$ 115.08 million in 2022 and is expected to reach US$ 196.58 million by 2030; it is estimated to grow at a CAGR of 6.9% from 2022 to 2030.
Implementing Artificial Intelligence in Queue Management System Drives Asia Pacific Queue Management System Market
The rise in customer expectations associated with their time influences service providers to adopt queue management systems. The most common customer complaints include long queues at banks, retail stores, airports, hospitals, and other public places, especially during peak hours or holidays. In order to access services in public facilities, consumers are often impatient and stressed and progress through queues. Moreover, according to the World Health Organization, the proportion of the geriatric population is expected to increase from 12% in 2015 to 22% by 2050. Older people suffering from cardiovascular disease, osteoporosis, and dementia require frequent visits to hospitals. Per the National Institute of Health Data, in 2022, approximately 21% of the geriatric population in India have at least one chronic disease such as Alzheimer's, arthritis, asthma, and cancer. Similarly, hypertension and diabetes account for ~68% of all chronic diseases; these diseases increase the number of patient visits to hospitals. Hence, long queues at medical facilities can be a physical burden to them, which generates the demand for AI-based queue management software.
The use of an AI-based queue management system supports healthcare and other facilities to solve their customer's problems. An AI-based queue management system leverages artificial intelligence to minimize wait times, manage queues, and improve patient experience. It uses real-time data to predict customer traffic and allocate resources accordingly by providing customers with a seamless and hassle-free experience. AI-based queue management systems help reduce customer frustration and improve overall customer's satisfaction. It is capable of monitoring customer traffic and queue length in real time, providing business owners with accurate data to make informed decisions. Thus, the implementation of AI-based queue management systems is likely to generate several growth opportunities for the market players during the forecast period.
Asia Pacific Queue Management System Market Overview
The queue management system in Asia Pacific is likely to grow during 2022-2030 attributed to the presence of industry-recognized queue management system manufacturers that are engaged in developing queue management systems. Numerous technology startups in Asia Pacific are focusing on implementing AI in business to improve operational efficiency. Per the recent International Data Corporation (IDC) report, in September 2023, 26% of companies in Asia Pacific (including Japan) had already made investments in Generative AI (GenAI), while 44% of companies underwent initial exploration before investing in GenAI. These companies are primarily impacted by AI technology in the areas of product development/design, research and development, sales and marketing, and customer engagement. The integration of AI in queue management systems helps reduce the customer's waiting time. In addition, APAC is experiencing strong growth in the number of hospitals, banks, and retail outlets, catalyzing the queue management system market in the region.
Asia Pacific Queue Management System Market Revenue and Forecast to 2030 (US$ Million)
Asia Pacific Queue Management System Market Segmentation
The Asia Pacific queue management system market is segmented based on type, component, application, and country.
Based on type, the Asia Pacific queue management system market is bifurcated into virtual queuing and linear queuing. The virtual queuing segment held a larger share in 2022.
By component, the Asia Pacific queue management system market is bifurcated into solution and services. The solution segment held a larger share in 2022.
By application, the Asia Pacific queue management system market is segmented into BFSI, hospitals, retail outlets, utility service providers and airports, restaurants, government offices, and others. The BFSI segment held the largest share in 2022.
Based on country, the Asia Pacific queue management system market is segmented into Australia, China, India, Japan, South Korea, and the Rest of Asia Pacific. China dominated the Asia Pacific queue management system market in 2022.
Q-MATIC Group AB, Qminder Ltd, Q-nomy Inc, Aurionpro Solutions Ltd, and Advantech Co Ltd are some of the leading companies operating in the Asia Pacific queue management system market.