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Global Cloud Managed Network Market to reach USD 44.62 billion by the end of 2029.

Global Cloud Managed Network Market Size study&Forecast, by Component (Solutions, Services) by Organization Size (Large Enterprises, SMEs), by Deployment Model (Public Cloud, Private Cloud), by Vertical (IT and ITeS, BFSI, Retail and eCommerce, Healthcare and Life Sciences, Transportation and Logistics, Manufacturing, Media and Entertainment, Energy and Utilities, Other Verticals) and Regional Analysis, 2022-2029

Product Code: ICTBC-41988342
Publish Date: 1-04-2023
Page: 200

Global Cloud Managed Network Market is valued at approximately USD 19.5 billion in 2021and is anticipated to grow with a healthy growth rate of more than 10.9% over the forecast period 2022-2029. Cloud Managed Network is an innovative network mode for organizations to manage their network infrastructure with various technologies such as Artificial Intelligence (AI) and cloud computing. Organization network infrastructure includes Wi-Fi, wired network and SD-WAN. This network service utilizes the cloud management platform and is managed mostly by third parties. Cloud managed network also enables the adoption of new software features and faster rollout. Additionally, increasing adoption of cloud technology and rising digital transformation are driving the market for Cloud Network Market.

The increasing adoption of cloud technologies is driving the market for cloud managed network. The cloud applications market is growing at a CAGR of 4.8% and is anticipated to reach USD 168.6 billion by 2025. The multi-cloud management solution manages various cloud computing services such as SaaS, PaaS, and IaaS under a single heterogeneous architecture. The rising digital transformation is boosting the demand for cloud managed platforms in various industries. The worldwide spending on digitalization is projected to reach USD 3.4 trillion by 2026, a 20% increase was also seen in 2021.Cloud managed network helps industries and companies to deliver improved customer service bymanaging the cost, IT infrastructure and network breakdown. Moreover, continuous advancements in formulations and rising Adoption of Artificial intelligence (AI) and Machine learning (ML) are boosting the demand for cloud managed network. However, the high-security concerns of Cloud Managed Network stifle market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Cloud Managed Network Marketstudy includes Asia Pacific, North America, Europe, Latin America, and Rest of the World .North America dominated the market for Cloud Managed Network due to the presence of major key vendors providing cloud-managed services. The rising deployment of big data solutions to streamline business operations is fueling the market demand for cloud managed network. Moreover, the rising adoption of cloud computing technologies and increasing internet penetration in this region are also driving the market. Asia-Pacific is anticipated to be the fastest-growing region due to various government initiatives and measures.Continuoustechnologicaladvancements and research & development arealso surging the market demand.

Major market player included in this report are:
Cisco Systems, Inc.,
Juniper Networks, Inc.
Accenture plc
International Business Machines Corporation
Telefonaktiebolaget LM Ericsson
Fujitsu Limited
NTT DATA Corporation
Extreme Networks, Inc.
CommScope Holding Company, Inc
Zyxel Communications Inc.

Recent Developments in the Market:
 In September 2022, Cisco announced itscollaboration with Wipro to create programmable and versatile hybrid cloud solutions through the edge, private and public clouds.
 In October 2022, Juniper networks came into partnership with Broadcom andsimplified every task from designto installation. Juniper builds improved real data connectivity.
Global Cloud Managed Network Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Component, Organization Size, Deployment Model, Vertical, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
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 incorporatespotential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Component offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:

By Organization Size:
Large Enterprises

By Deployment Model:
Public Cloud
Private Cloud

By Vertical:
IT and ITeS
Retail and eCommerce
Healthcare and Life Sciences
Transportation and Logistics
Media and Entertainment
Energy and Utilities
Other Verticals

By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Cloud Managed Network Market, by Region, 2019-2029 (USD Billion)
1.2.2. Cloud Managed Network Market, by Component,2019-2029 (USD Billion)
1.2.3. Cloud Managed Network Market, by Organization Size, 2019-2029 (USD Billion)
1.2.4. Cloud Managed Network Market, by Deployment Model, 2019-2029 (USD Billion)
1.2.5. Cloud Managed Network Market, by Vertical, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Cloud Managed Network Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Cloud Managed Network Market Dynamics
3.1. Cloud Managed Network Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Increasing adoption of cloud technology. Rising Digital Transformation.
3.1.2. Market Challenges High security concerns of Cloud Managed Network
3.1.3. Market Opportunities Advancements in Formulation. Adoption of AI and ML.
Chapter 4. Global Cloud Managed Network MarketIndustry 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. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Investment Adoption Model
4.5. Analyst Recommendation & Conclusion
4.6. Top investment opportunity
4.7. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Cloud Managed Network Market, by Component
6.1. Market Snapshot
6.2. Global Cloud Managed Network Market by Component, Performance – Potential Analysis
6.3. Global Cloud Managed Network Market Estimates & Forecasts by Component2019-2029 (USD Billion)
6.4. Cloud Managed Network Market, Sub Segment Analysis
6.4.1. Solutions
6.4.2. Services
Chapter 7. Global Cloud Managed Network Market, by Organization Size
7.1. Market Snapshot
7.2. Global Cloud Managed Network Market by Organization Size, Performance – Potential Analysis
7.3. Global Cloud Managed Network Market Estimates & Forecasts by Organization Size2019-2029 (USD Billion)
7.4. Cloud Managed Network Market, Sub Segment Analysis
7.4.1. Large Enterprises
7.4.2. SMEs
Chapter 8. Global Cloud Managed Network Market, byDeployment Model
8.1. Market Snapshot
8.2. Global Cloud Managed Network Market by Deployment Model, Performance – Potential Analysis
8.3. Global Cloud Managed Network Market Estimates & Forecasts by Deployment Model2019-2029 (USD Billion)
8.4. Cloud Managed Network Market, Sub Segment Analysis
8.4.1. Public Cloud
8.4.2. Private Cloud
Chapter 9. Global Cloud Managed Network Market, by Vertical
9.1. Market Snapshot
9.2. Global Cloud Managed Network Market by Vertical, Performance – Potential Analysis
9.3. Global Cloud Managed Network Market Estimates & Forecasts by Vertical2019-2029 (USD Billion)
9.4. Cloud Managed Network Market, Sub Segment Analysis
9.4.1. IT and ITeS
9.4.2. BFSI
9.4.3. Retail and eCommerce
9.4.4. Healthcare and Life Sciences
9.4.5. Transportation and Logistics
9.4.6. Manufacturing
9.4.7. Media and Entertainment
9.4.8. Energy and Utilities
9.4.9. Other Verticals
Chapter 10. Global Cloud Managed Network Market, Regional Analysis
10.1. Cloud Managed Network Market, Regional Market Snapshot
10.2. North America Cloud Managed Network Market
10.2.1. U.S.Cloud Managed Network Market Componentbreakdown estimates & forecasts, 2019-2029 Organization Size breakdown estimates & forecasts, 2019-2029 Deployment Model breakdown estimates & forecasts, 2019-2029 Verticalbreakdown estimates & forecasts, 2019-2029
10.2.2. CanadaCloud Managed Network Market
10.3. Europe Cloud Managed Network Market Snapshot
10.3.1. U.K. Cloud Managed Network Market
10.3.2. Germany Cloud Managed Network Market
10.3.3. France Cloud Managed Network Market
10.3.4. Spain Cloud Managed Network Market
10.3.5. Italy Cloud Managed Network Market
10.3.6. Rest of EuropeCloud Managed Network Market
10.4. Asia-Pacific Cloud Managed Network Market Snapshot
10.4.1. China Cloud Managed Network Market
10.4.2. India Cloud Managed Network Market
10.4.3. JapanCloud Managed Network Market
10.4.4. Australia Cloud Managed Network Market
10.4.5. South Korea Cloud Managed Network Market
10.4.6. Rest of Asia PacificCloud Managed Network Market
10.5. Latin America Cloud Managed Network Market Snapshot
10.5.1. Brazil Cloud Managed Network Market
10.5.2. MexicoCloud Managed Network Market
10.6. Rest of The World Cloud Managed Network Market

Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Cisco Systems, Inc., Key Information Overview Financial (Subject to Data Availability) ProductSummary Recent Developments
11.2.2. Juniper Networks, Inc.
11.2.3. Accenture plc
11.2.4. International Business Machines Corporation
11.2.5. Telefonaktiebolaget LM Ericsson
11.2.6. Fujitsu Limited
11.2.7. NTT DATA Corporation
11.2.8. Extreme Networks, Inc.
11.2.9. CommScope Holding Company, Inc
11.2.10. Zyxel Communications Inc.
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. 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.
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