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Global Application Delivery Controllers (ADC) Market to reach USD 13.21 billion by the end of 2030.

Global Application Delivery Controllers (ADC) Market Size study & Forecast, by Deployment Model (On-Premise, Cloud) By Enterprise Size (Large Enterprises, Small and Medium-Sized Enterprises) By End User (IT and Telecom, Retail, BFSI, Healthcare, Government, Others) and Regional Analysis, 2023-2030

Product Code: ICTH-48159895
Publish Date: 10-06-2023
Page: 200

Global Application Delivery Controllers (ADC) Market is valued at approximately USD 3.26 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 19.1% over the forecast period 2023-2030. An Application Delivery Controller (ADC) is a network device that helps manage the delivery of application data between servers and clients. ADCs are commonly used in data centers to optimize the performance and availability of applications, as well as to enhance security. The Application Delivery Controllers (ADC) market is expanding because of factors such as rapid growth of data centers and growing adoption of cloud-based services. ADCs work by acting as an intermediary between the server and the client. They receive requests from the client and forward them to the appropriate server, using techniques such as load balancing and traffic management to ensure that requests are distributed evenly across servers and that the servers are operating efficiently. Its importance has progressively increased during the last few years.

According to the Statista, in 2022, 2,701 data centers were in the United States, with a further 487 data centers located in Germany. The United Kingdom ranked third among countries in terms of the number of data centers with 456, while China recorded 443. Furthermore, In 2022, spending on data center systems accounts USD 212 billion, an increase of 11.1 percent from the previous year. Another important component driving space increase is adoption of cloud-based services. As per Statista, in 2022, the most popular vendor in the cloud infrastructure services market is Amazon Web Services which accounts 32% of the entire market, followed by Microsoft Azure with 23% and Google Cloud with 10% market share. Together, these three cloud vendors account for 65% of the total market. In addition, in 2023, the global public cloud services market is expected to grow by approximately 21.7%, which amounts to about USD 597 billion. Also, rising demand for application delivery controllers in the banking sector and surge in internet traffics would create a lucrative growth prospectus for the market over the forecast period. However, the high cost associated with Application Delivery Controllers (ADC) stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Application Delivery Controllers (ADC) Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the increasing enterprise mobility and extensive wireless connectivity in the region. According to Statista, the application security market in North America region is estimated to reach up to USD 2.47 billion in 2023. Furthermore, Asia Pacific is expected to grow significantly during the forecast period, owing to factors such as rapid development of the IT industry and growing emergence of online transactions in the market space.

Major market player included in this report are:
A10 Networks Inc.,
Citrix Systems Inc.,
F5 Networks Inc.,
Array Networks, Inc.,
Webscale Networks,
Dell Technologies Inc.,
Barracuda Networks Inc.,
Fortinet Inc.,
Cisco Systems Inc.,
KEMP Technologies Inc.

Recent Developments in the Market:
Ø In February 2023, Cisco introduced cloud-managed networking advancements, to help clients simplify their IT operations. It presents a single experience that gives genuine business agility with powerful new cloud management capabilities for industrial IoT applications, streamlined dashboards to merge IT and OT operations, and customizable network intelligence to monitor and protect all industrial assets.

Global Application Delivery Controllers (ADC) 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 – Deployment Model, Enterprise Size, 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 Deployment Model

By Enterprise Size
Large Enterprises
Small And Medium-Sized Enterprises

By End User
IT and Telecom

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 Billion)
1.2.1. Application Delivery Controllers (ADC) Market, by Region, 2020-2030 (USD Billion)
1.2.2. Application Delivery Controllers (ADC) Market, by Deployment Model, 2020-2030 (USD Billion)
1.2.3. Application Delivery Controllers (ADC) Market, by Enterprise Size, 2020-2030 (USD Billion)
1.2.4. Application Delivery Controllers (ADC) Market, by End User, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Application Delivery Controllers (ADC) 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 Application Delivery Controllers (ADC) Market Dynamics
3.1. Application Delivery Controllers (ADC) Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rapid growth of data centres Growing adoption of cloud-based services
3.1.2. Market Challenges High Cost of Application Delivery Controllers (ADC)
3.1.3. Market Opportunities Rising demand for application delivery controllers in banking sector Surge in internet traffics.

Chapter 4. Global Application Delivery Controllers (ADC) 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 Application Delivery Controllers (ADC) Market, by Deployment Model
5.1. Market Snapshot
5.2. Global Application Delivery Controllers (ADC) Market by Deployment Model, Performance – Potential Analysis
5.3. Global Application Delivery Controllers (ADC) Market Estimates & Forecasts by Deployment Model 2020-2030 (USD Billion)
5.4. Application Delivery Controllers (ADC) Market, Sub Segment Analysis
5.4.1. On-Premise
5.4.2. Cloud
Chapter 6. Global Application Delivery Controllers (ADC) Market, by Enterprise Size
6.1. Market Snapshot
6.2. Global Application Delivery Controllers (ADC) Market by Enterprise Size, Performance – Potential Analysis
6.3. Global Application Delivery Controllers (ADC) Market Estimates & Forecasts by Enterprise Size 2020-2030 (USD Billion)
6.4. Application Delivery Controllers (ADC) Market, Sub Segment Analysis
6.4.1. Large Enterprises
6.4.2. Small And Medium-Sized Enterprises
Chapter 7. Global Application Delivery Controllers (ADC) Market, by End User
7.1. Market Snapshot
7.2. Global Application Delivery Controllers (ADC) Market by End User, Performance – Potential Analysis
7.3. Global Application Delivery Controllers (ADC) Market Estimates & Forecasts by End User 2020-2030 (USD Billion)
7.4. Application Delivery Controllers (ADC) Market, Sub Segment Analysis
7.4.1. IT and Telecom
7.4.2. Retail
7.4.3. BFSI
7.4.4. Healthcare
7.4.5. Government
7.4.6. Others
Chapter 8. Global Application Delivery Controllers (ADC) Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Application Delivery Controllers (ADC) Market, Regional Market Snapshot
8.4. North America Application Delivery Controllers (ADC) Market
8.4.1. U.S. Application Delivery Controllers (ADC) Market Deployment Model breakdown estimates & forecasts, 2020-2030 Enterprise Size breakdown estimates & forecasts, 2020-2030 End User breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Application Delivery Controllers (ADC) Market
8.5. Europe Application Delivery Controllers (ADC) Market Snapshot
8.5.1. U.K. Application Delivery Controllers (ADC) Market
8.5.2. Germany Application Delivery Controllers (ADC) Market
8.5.3. France Application Delivery Controllers (ADC) Market
8.5.4. Spain Application Delivery Controllers (ADC) Market
8.5.5. Italy Application Delivery Controllers (ADC) Market
8.5.6. Rest of Europe Application Delivery Controllers (ADC) Market
8.6. Asia-Pacific Application Delivery Controllers (ADC) Market Snapshot
8.6.1. China Application Delivery Controllers (ADC) Market
8.6.2. India Application Delivery Controllers (ADC) Market
8.6.3. Japan Application Delivery Controllers (ADC) Market
8.6.4. Australia Application Delivery Controllers (ADC) Market
8.6.5. South Korea Application Delivery Controllers (ADC) Market
8.6.6. Rest of Asia Pacific Application Delivery Controllers (ADC) Market
8.7. Latin America Application Delivery Controllers (ADC) Market Snapshot
8.7.1. Brazil Application Delivery Controllers (ADC) Market
8.7.2. Mexico Application Delivery Controllers (ADC) Market
8.8. Middle East & Africa Application Delivery Controllers (ADC) Market
8.8.1. Saudi Arabia Application Delivery Controllers (ADC) Market
8.8.2. South Africa Application Delivery Controllers (ADC) Market
8.8.3. Rest of Middle East & Africa Application Delivery Controllers (ADC) Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. A10 Networks Inc Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Citrix Systems Inc
9.3.3. F5 Networks Inc.,
9.3.4. Array Networks, Inc.,
9.3.5. Webscale Networks,
9.3.6. Dell Technologies Inc.,
9.3.7. Barracuda Networks Inc.,
9.3.8. Fortinet Inc.,
9.3.9. Cisco Systems Inc.,
9.3.10. KEMP Technologies Inc.

Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. 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.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
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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