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Global Queue Managements System Market to reach USD 769.68 Million by the end of 2030

Global Queue Managements System Market Size study & Forecast by Component (Hardware, Software, Service), by Type (Virtual Queuing, Linear Queuing), by Deployment Model, by Organization Size, by Application (Customer service, Reporting & Analytics, Query handling, Real-time monitoring, Appointment management), by End-User and Regional Analysis, 2023-2030

Product Code: ICTICTI-55010540
Publish Date: 29-02-2024
Page: 200

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.

Major market player included in this report are:
Advantech Co., Ltd.
SEDCO Co., Ltd.
Q-matic Group AB
AKIS Technologies
Q-nomy, Inc.
Aurionpro Solutions Ltd.
Qminder Ltd.
Lavi Industries
Core Mobile, Inc.

Recent Developments in the Market:
Ø In July 2023, Qtrac, a prominent company in virtual queue management, recently integrated WhatsApp into its system. This update allowed for a broader global presence and provided clients with more options for customizing customer communication. The integration diversified messaging capabilities for personalized client interactions and improved service.
Ø In July 2023, Alizz Islamic Bank effectively integrated SEDCO’s cutting-edge Queue Management Solution, which incorporates a range of advanced features tailored to enhance customer flow and streamline branch operations. The solution comprises an intelligent queuing system, dynamic digital signage, centralized management, and robust business intelligence tools, all working together to deliver a smooth and efficient banking experience.
Ø In May 2023, Q-MATIC Group AB introduced the most recent iteration of Orchestra 7.4, incorporating an enhanced data security measure that adhered to the most recent industry standards and regulations. Furthermore, the upgraded version of Orchestra 7.4 streamlined the connection process, reducing the time required to establish a secure connection.

Global Queue Managements System Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Component, Type, Deployment Model, Organization Size, Application, End-User, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

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:

By Component:

By Type:
Virtual Queuing
Linear Queuing

By Deployment Model:

By Organization Size:
Large enterprises

By Application:
Customer service
Reporting & analytics
Query handling
Real-time monitoring
Appointment management

By End-User:

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Million)
1.2.1. Queue Managements System Market, by Region, 2020-2030 (USD Million)
1.2.2. Queue Managements System Market, by Component, 2020-2030 (USD Million)
1.2.3. Queue Managements System Market, by Type, 2020-2030 (USD Million)
1.2.4. Queue Managements System Market, by Deployment Model, 2020-2030 (USD Million)
1.2.5. Queue Managements System Market, by Organization Size, 2020-2030 (USD Million)
1.2.6. Queue Managements System Market, by Application, 2020-2030 (USD Million)
1.2.7. Queue Managements System Market, by End-User, 2020-2030 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Queue Managements System Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Queue Managements System Market Dynamics
3.1. Queue Managements System Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Growing demand for efficient systems Expansion of aviation industry Surging demand for virtual queue systems
3.1.2. Market Challenges High initial cost of queue management systems Data privacy and security concerns
3.1.3. Market Opportunities Rising adoption in healthcare systems Integration of advanced technologies
Chapter 4. Global Queue Managements System Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Queue Managements System Market, by Component
5.1. Market Snapshot
5.2. Global Queue Managements System Market by Component, Performance – Potential Analysis
5.3. Global Queue Managements System Market Estimates & Forecasts by Component 2020-2030 (USD Million)
5.4. Queue Managements System Market, Sub Segment Analysis
5.4.1. Hardware
5.4.2. Software
5.4.3. Services
Chapter 6. Global Queue Managements System Market, by Type
6.1. Market Snapshot
6.2. Global Queue Managements System Market by Type, Performance – Potential Analysis
6.3. Global Queue Managements System Market Estimates & Forecasts by Type 2020-2030 (USD Million)
6.4. Queue Managements System Market, Sub Segment Analysis
6.4.1. Virtual Queuing
6.4.2. Linear Queuing
Chapter 7. Global Queue Managements System Market, by Deployment Model
7.1. Market Snapshot
7.2. Global Queue Managements System Market by Deployment Model, Performance – Potential Analysis
7.3. Global Queue Managements System Market Estimates & Forecasts by Deployment Model 2020-2030 (USD Million)
7.4. Queue Managements System Market, Sub Segment Analysis
7.4.1. On-premises
7.4.2. Cloud
Chapter 8. Global Queue Managements System Market, by Organization Size
8.1. Market Snapshot
8.2. Global Queue Managements System Market by Organization Size, Performance – Potential Analysis
8.3. Global Queue Managements System Market Estimates & Forecasts by Organization Size 2020-2030 (USD Million)
8.4. Queue Managements System Market, Sub Segment Analysis
8.4.1. SMEs
8.4.2. Large enterprises
Chapter 9. Global Queue Managements System Market, by Application
9.1. Market Snapshot
9.2. Global Queue Managements System Market by Application, Performance – Potential Analysis
9.3. Global Queue Managements System Market Estimates & Forecasts by Application 2020-2030 (USD Million)
9.4. Queue Managements System Market, Sub Segment Analysis
9.4.1. Customer service
9.4.2. Reporting & analytics
9.4.3. Query handling
9.4.4. Real-time monitoring
9.4.5. Appointment management
Chapter 10. Global Queue Managements System Market, by End-User
10.1. Market Snapshot
10.2. Global Queue Managements System Market by End-User, Performance – Potential Analysis
10.3. Global Queue Managements System Market Estimates & Forecasts by End-User 2020-2030 (USD Million)
10.4. Queue Managements System Market, Sub Segment Analysis
10.4.1. Retail
10.4.2. Healthcare
10.4.3. Banking
10.4.4. Government
10.4.5. Transportation
10.4.6. Education
10.4.7. Hospitality
10.4.8. Others
Chapter 11. Global Queue Managements System Market, Regional Analysis
11.1. Top Leading Countries
11.2. Top Emerging Countries
11.3. Queue Managements System Market, Regional Market Snapshot
11.4. North America Queue Managements System Market
11.4.1. U.S. Queue Managements System Market Component breakdown estimates & forecasts, 2020-2030 Type breakdown estimates & forecasts, 2020-2030 Deployment Model breakdown estimates & forecasts, 2020-2030 Organization Size breakdown estimates & forecasts, 2020-2030 Application breakdown estimates & forecasts, 2020-2030 End-User breakdown estimates & forecasts, 2020-2030
11.4.2. Canada Queue Managements System Market
11.5. Europe Queue Managements System Market Snapshot
11.5.1. U.K. Queue Managements System Market
11.5.2. Germany Queue Managements System Market
11.5.3. France Queue Managements System Market
11.5.4. Spain Queue Managements System Market
11.5.5. Italy Queue Managements System Market
11.5.6. Rest of Europe Queue Managements System Market
11.6. Asia-Pacific Queue Managements System Market Snapshot
11.6.1. China Queue Managements System Market
11.6.2. India Queue Managements System Market
11.6.3. Japan Queue Managements System Market
11.6.4. Australia Queue Managements System Market
11.6.5. South Korea Queue Managements System Market
11.6.6. Rest of Asia Pacific Queue Managements System Market
11.7. Latin America Queue Managements System Market Snapshot
11.7.1. Brazil Queue Managements System Market
11.7.2. Mexico Queue Managements System Market
11.8. Middle East & Africa Queue Managements System Market
11.8.1. Saudi Arabia Queue Managements System Market
11.8.2. South Africa Queue Managements System Market
11.8.3. Rest of Middle East & Africa Queue Managements System Market

Chapter 12. Competitive Intelligence
12.1. Key Company SWOT Analysis
12.1.1. Company 1
12.1.2. Company 2
12.1.3. Company 3
12.2. Top Market Strategies
12.3. Company Profiles
12.3.1. Advantech Co., Ltd. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
12.3.2. SEDCO Co., Ltd.
12.3.3. Q-matic Group AB
12.3.4. AKIS Technologies
12.3.5. Q-nomy, Inc.
12.3.6. Aurionpro Solutions Ltd.
12.3.7. Qminder Ltd.
12.3.8. Wavetec
12.3.9. Lavi Industries
12.3.10. Core Mobile, Inc.
Chapter 13. Research Process
13.1. Research Process
13.1.1. Data Mining
13.1.2. Analysis
13.1.3. Market Estimation
13.1.4. Validation
13.1.5. Publishing
13.2. Research Attributes
13.3. Research Assumption

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Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
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Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
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Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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