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市场调查报告书
商品编码
1494381
亚太地区队列管理系统市场预测至 2030 年 - 区域分析 - 按类型、组件和应用Asia Pacific Queue Management System Market Forecast to 2030 - Regional Analysis - By Type, Component, and Application |
2022年亚太排队管理系统市场价值为1.1508亿美元,预计2030年将达到1.9658亿美元;预计2022年至2030年复合年增长率为6.9%。
在队列管理系统中实施人工智慧推动亚太队列管理系统市场
客户对时间的期望不断提高,影响服务提供者采用伫列管理系统。最常见的客户投诉包括银行、零售商店、机场、医院和其他公共场所排长队,尤其是在高峰时段或假日。为了获得公共设施的服务,消费者往往不耐烦、压力重重,需要排队等候。此外,据世界卫生组织称,老年人口比例预计将从2015年的12%增加到2050年的22%。根据美国国家健康数据研究所的数据,到 2022 年,印度约 21% 的老年人口患有至少一种慢性疾病,如阿兹海默症、关节炎、气喘和癌症。同样,高血压和糖尿病约占所有慢性病的 68%;这些疾病增加了病人到医院就诊的次数。因此,医疗机构的长队对他们来说可能是一种身体负担,这就产生了对基于人工智慧的队列管理软体的需求。
使用基于人工智慧的队列管理系统支援医疗保健和其他设施解决客户的问题。基于人工智慧的队列管理系统利用人工智慧来最大限度地减少等待时间、管理队列并改善患者体验。它使用即时资料来预测客户流量并透过为客户提供无缝且无忧的体验来相应地分配资源。基于人工智慧的队列管理系统有助于减少客户的挫折感并提高客户的整体满意度。它能够即时监控客流量和排队长度,为企业主提供准确的资料以做出明智的决策。因此,基于人工智慧的队列管理系统的实施可能会在预测期内为市场参与者带来一些成长机会。
亚太地区排队管理系统市场概况
由于业界认可的队列管理系统製造商致力于开发队列管理系统,亚太地区的队列管理系统可能会在 2022 年至 2030 年期间成长。亚太地区许多科技新创公司都致力于在业务中实施人工智慧,以提高营运效率。根据国际数据公司(IDC)最近的报告,2023 年9 月,亚太地区(包括日本)有26% 的公司已经投资了生成式人工智慧(GenAI),而44% 的公司在投资GenAI 之前进行了初步探索。这些公司主要在产品开发/设计、研发、销售和行销以及客户参与等领域受到人工智慧技术的影响。将人工智慧整合到队列管理系统中有助于减少顾客的等待时间。此外,亚太地区的医院、银行和零售店数量正在强劲增长,从而促进了该地区的排队管理系统市场。
亚太地区队列管理系统市场收入及 2030 年预测(百万美元)
亚太地区队列管理系统市场细分
亚太地区队列管理系统市场根据类型、组件、应用程式和国家/地区进行细分。
根据类型,亚太排队管理系统市场分为虚拟排队和线性排队。 2022 年,虚拟排队细分市场将占更大份额。
按组件划分,亚太地区队列管理系统市场分为解决方案和服务。 2022 年,解决方案领域将占据更大份额。
按应用划分,亚太地区队列管理系统市场分为 BFSI、医院、零售店、公用事业服务提供者以及机场、餐厅、政府办公室等。 BFSI 细分市场在 2022 年占据最大份额。
根据国家/地区,亚太地区队列管理系统市场分为澳洲、中国、印度、日本、韩国和亚太地区其他地区。 2022年,中国在亚太排队管理系统市场占据主导地位。
Q-MATIC Group AB、Qminder Ltd、Q-nomy Inc、Aurionpro Solutions Ltd 和 Advantech Co Ltd 是亚太地区队列管理系统市场上的一些领先公司。
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.