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市場調查報告書
商品編碼
1494381
亞太地區隊列管理系統市場預測至 2030 年 - 區域分析 - 按類型、組件和應用Asia Pacific Queue Management System Market Forecast to 2030 - Regional Analysis - By Type, Component, and Application |
2022年亞太排隊管理系統市場價值為1.1508億美元,預計2030年將達到1.9658億美元;預計2022年至2030年複合年成長率為6.9%。
在隊列管理系統中實施人工智慧推動亞太隊列管理系統市場
客戶對時間的期望不斷提高,影響服務提供者採用佇列管理系統。最常見的客戶投訴包括銀行、零售商店、機場、醫院和其他公共場所排長隊,尤其是在高峰時段或假日。為了獲得公共設施的服務,消費者往往不耐煩、壓力重重,需要排隊等候。此外,據世界衛生組織稱,老年人口比例預計將從2015年的12%增加到2050年的22%。根據美國國家健康數據研究所的數據,到 2022 年,印度約 21% 的老年人口患有至少一種慢性疾病,如阿茲海默症、關節炎、氣喘和癌症。同樣,高血壓和糖尿病約佔所有慢性病的 68%;這些疾病增加了病人到醫院就診的次數。因此,醫療機構的長隊對他們來說可能是一種身體負擔,這就產生了對基於人工智慧的隊列管理軟體的需求。
使用基於人工智慧的隊列管理系統支援醫療保健和其他設施解決客戶的問題。基於人工智慧的隊列管理系統利用人工智慧來最大限度地減少等待時間、管理隊列並改善患者體驗。它使用即時資料來預測客戶流量並透過為客戶提供無縫且無憂的體驗來相應地分配資源。基於人工智慧的隊列管理系統有助於減少客戶的挫折感並提高客戶的整體滿意度。它能夠即時監控客流量和排隊長度,為企業主提供準確的資料以做出明智的決策。因此,基於人工智慧的隊列管理系統的實施可能會在預測期內為市場參與者帶來一些成長機會。
亞太地區排隊管理系統市場概況
由於業界認可的隊列管理系統製造商致力於開發隊列管理系統,亞太地區的隊列管理系統可能會在 2022 年至 2030 年期間成長。亞太地區許多科技新創公司都致力於在業務中實施人工智慧,以提高營運效率。根據國際數據公司(IDC)最近的報告,2023 年9 月,亞太地區(包括日本)有26% 的公司已經投資了生成式人工智慧(GenAI),而44% 的公司在投資GenAI 之前進行了初步探索。這些公司主要在產品開發/設計、研發、銷售和行銷以及客戶參與等領域受到人工智慧技術的影響。將人工智慧整合到隊列管理系統中有助於減少顧客的等待時間。此外,亞太地區的醫院、銀行和零售店數量正在強勁成長,從而促進了該地區的排隊管理系統市場。
亞太地區隊列管理系統市場收入及 2030 年預測(百萬美元)
亞太地區隊列管理系統市場細分
亞太地區隊列管理系統市場根據類型、組件、應用程式和國家/地區進行細分。
根據類型,亞太排隊管理系統市場分為虛擬排隊和線性排隊。 2022 年,虛擬排隊細分市場將佔更大佔有率。
按組件分類,亞太地區隊列管理系統市場分為解決方案和服務。 2022 年,解決方案領域將佔據更大佔有率。
按應用分類,亞太地區隊列管理系統市場分為 BFSI、醫院、零售店、公用事業服務提供者以及機場、餐廳、政府辦公室等。 BFSI 細分市場在 2022 年佔據最大佔有率。
根據國家/地區,亞太地區隊列管理系統市場分為澳洲、中國、印度、日本、韓國和亞太地區其他地區。 2022年,中國在亞太排隊管理系統市場佔據主導地位。
Q-MATIC Group AB、Qminder Ltd、Q-nomy Inc、Aurionpro Solutions Ltd 和 Advantech Co Ltd 是亞太地區隊列管理系統市場上的一些領先公司。
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.