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Global Thin Client Market to reach USD 2.33 billion by the end of 2030.

Global Thin Client Market Size study & Forecast, by Form Factor (Standalone, With Monitor, Mobile), by Application (Enterprise, Government, Education, Industrial, Healthcare) and Regional Analysis, 2023-2030

Product Code: ICTBC-64286734
Publish Date: 4-08-2023
Page: 200

Global Thin Client Market is valued at approximately USD 1.60 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 4.8% over the forecast period 2023-2030. Thin Client, also known as a lean client, is a cheap endpoint computing system that mostly depends on a server for its computational function. A computer that uses resources stored on a central server instead of a hard drive is known as a Thin Client. Thin Clients operate by remotely connecting to a server-based computer environment, that holds the memory, programmes, and sensitive data. The key factor expected to drive the growth of the Global Thin Client Market is the increasing acquisition of smart Thin Clients around the world, owing to several features offered by Thin Clients such as centralised management functionality, enhanced security framework, improved resource management, and easy distribution of software and platforms. Rising cloud-based service adoption and expanding demand for energy-efficient devices from specific business sectors are expected to drive the growth of the Global Thin Client Market in the coming years, owing to various benefits offered by Thin Clients such as reduced energy consumption, cost efficiency, and increased productivity.

The healthcare sector is projected to boost market expansion. LG Business Solutions USA introduced a new LG Thin Client solution designed for use in hospitals, urgent care centres, and other healthcare environments in August 2021, as part of its aim to assist healthcare providers in streamlining operations and delivering efficient patient care. The new LG healthcare All-in-One Thin Client workstation (model 24CN670N) includes dual-band RFID readers, allowing numerous authorised healthcare personnel to access shared resources such as electronic health records systems and other networked applications. Additionally, Leading organization’s increased investments in data centres, as well as the popularity of hybrid and multi-cloud settings, are likely to provide opportunities for expansion for the global market all over the forecast period. However, Organisations with unique requirements face difficulties due to customization restrictions stifling market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Thin Client Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Europe dominated the market in 2022 owing to the adoption of Thin Clients in healthcare settings, with the goal of improving efficiency and patient care. According to the National Insight of Health in 2021, The University Hospitals Birmingham NHS Foundation Trust has streamlined access to electronic patient records and medical applications. This helps healthcare practitioners to provide prompt and precise care, resulting in better patient outcomes. Asia Pacific is expected to grow significantly during the forecast period, owing to the nation’s growing emphasis on virtualization and cloud computing. Specifically in China, the education industry has been instrumental in promoting the use of Thin Clients. The Chinese Ministry of Education announced a national initiative to introduce Thin Client and cloud computing technology in schools in 2020. This initiative’s goal is to improve students’ ability to study digitally by giving them access to learning materials and virtual classrooms operated by Thin Clients.

Major market player included in this report are:
IGEL Technology
Dell Inc.
Siemens AG
Hewlett Packard Development Company, L.P
LG Electronics Inc.
Fujitsu Ltd.
Thinvent Technologies Pvt Ltd.
OnLogic Inc.
Advantech Co., Ltd.
Fujian Centerm Information Co., Ltd.
Recent Developments in the Market:
Ø In August 2022, On Logic, a global computer manufacturer and solution provider, released two groundbreaking thin and zero client computing devices. The new TM120 and TM710 are fanless solid-state PCs that come with Thin Manager software, allowing users to quickly deploy the hardware. The new systems round out On Logic’s expanding array of Thin Manager-ready hardware. The use of thin and zero clients enables for the low-cost distribution of powerful computing resources across a company’s infrastructure.

Global Thin Client 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 – Form Factor, Application, 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 Form Factor:
Standalone
With Monitor
Mobile
By Application:
Enterprise
Government
Education
Industrial
Healthcare
By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico

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 Billion)
1.2.1. Thin Client Market, by Region, 2020-2030 (USD Billion)
1.2.2. Thin Client Market, by Form Factor, 2020-2030 (USD Billion)
1.2.3. Thin Client Market, by Application, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Thin Client 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 Thin Client Market Dynamics
3.1. Thin Client Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Increasing adoption of cloud-based services
3.1.1.2. Growing Healthcare sector
3.1.2. Market Challenges
3.1.2.1. Difficulties due to customization restrictions
3.1.2.2. System compatibility issues
3.1.3. Market Opportunities
3.1.3.1. Leading organization’s increased investments in data centres
3.1.3.2. Popularity of hybrid and multi-cloud settings
Chapter 4. Global Thin Client 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 Thin Client Market, by Form Factor
5.1. Market Snapshot
5.2. Global Thin Client Market by Form Factor, Performance – Potential Analysis
5.3. Global Thin Client Market Estimates & Forecasts by Form Factor 2020-2030 (USD Billion)
5.4. Thin Client Market, Sub Segment Analysis
5.4.1. Standalone
5.4.2. With Monitor
5.4.3. Mobile
Chapter 6. Global Thin Client Market, by Application
6.1. Market Snapshot
6.2. Global Thin Client Market by Application, Performance – Potential Analysis
6.3. Global Thin Client Market Estimates & Forecasts by Application 2020-2030 (USD Billion)
6.4. Thin Client Market, Sub Segment Analysis
6.4.1. Enterprise
6.4.2. Government
6.4.3. Education
6.4.4. Industrial
6.4.5. Healthcare
Chapter 7. Global Thin Client Market, Regional Analysis
7.1. Top Leading Countries
7.2. Top Emerging Countries
7.3. Thin Client Market, Regional Market Snapshot
7.4. North America Thin Client Market
7.4.1. U.S. Thin Client Market
7.4.1.1. Form Factor breakdown estimates & forecasts, 2020-2030
7.4.1.2. Application breakdown estimates & forecasts, 2020-2030
7.4.2. Canada Thin Client Market
7.5. Europe Thin Client Market Snapshot
7.5.1. U.K. Thin Client Market
7.5.2. Germany Thin Client Market
7.5.3. France Thin Client Market
7.5.4. Spain Thin Client Market
7.5.5. Italy Thin Client Market
7.5.6. Rest of Europe Thin Client Market
7.6. Asia-Pacific Thin Client Market Snapshot
7.6.1. China Thin Client Market
7.6.2. India Thin Client Market
7.6.3. Japan Thin Client Market
7.6.4. Australia Thin Client Market
7.6.5. South Korea Thin Client Market
7.6.6. Rest of Asia Pacific Thin Client Market
7.7. Latin America Thin Client Market Snapshot
7.7.1. Brazil Thin Client Market
7.7.2. Mexico Thin Client Market
7.8. Middle East & Africa Thin Client Market
7.8.1. Saudi Arabia Thin Client Market
7.8.2. South Africa Thin Client Market
7.8.3. Rest of Middle East & Africa Thin Client Market

Chapter 8. Competitive Intelligence
8.1. Key Company SWOT Analysis
8.1.1. Company 1
8.1.2. Company 2
8.1.3. Company 3
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. IGEL Technology
8.3.1.1. Key Information
8.3.1.2. Overview
8.3.1.3. Financial (Subject to Data Availability)
8.3.1.4. Product Summary
8.3.1.5. Recent Developments
8.3.2. Dell Inc.
8.3.3. Siemens AG
8.3.4. Hewlett Packard Development Company, L.P
8.3.5. LG Electronics Inc.
8.3.6. Fujitsu Ltd.
8.3.7. Thinvent Technologies Pvt Ltd.
8.3.8. OnLogic Inc.
8.3.9. Advantech Co., Ltd.
8.3.10. Fujian Centerm Information Co., Ltd.
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
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.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
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.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
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.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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