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Global Mobile Edge Computing Market to reach USD 6924.59 Million by the end of 2029.

Global Mobile Edge Computing Market Size study & Forecast, by Component (Hardware, Software) by Application (Location-based Services, Video Surveillance, Unified Communication, Optimized Local Content Distribution, Data Analytics and Environmental Monitoring) by Organization Size (Large Enterprises, Small and medium Sized Enterprises) and Regional Analysis, 2022-2029

Product Code: ICTNGT-97526978
Publish Date: 2-05-2023
Page: 200

Global Mobile Edge Computing Market is valued approximately USD 620.27 Million in 2021 and is anticipated to grow with a healthy growth rate of more than 35.20% over the forecast period 2022-2029. Mobile Edge Computing also known as multi-access computing, can be defined as the near-real-time processing of large amounts of data produced by edge devices and applications closest to where it’s captured. The application of MEC reduces the distance between where data is produced, collected, and analyzed in the cloud. Processing is performed done virtually with the help of wireless devices within a cloud network. The rising automation spending across the industries and growing need for real-time automated decision-making solutions are key factors driving the market growth.

The rising automation spending across the industries is contributing towards the growth of the Global Mobile Edge Computing market. For instance – as per Statista – in 2020, the global industrial automation market was valued at USD 175 billion, and the market is projected to grow at a compound annual growth rate (CAGR) of around nine percent until 2025. Further, in 2025, the size of the global industrial automation market would reach to USD 265 billion. Also, growing emergence of extended reality technology and rise in autonomous and connected automobile infrastructure would create lucrative growth prospectus for the market over the forecast period. However, the high deployment cost along with infrastructural limitations stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Mobile Edge Computing Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to the availability of leading market players along with required technological infrastructure in the region. Whereas Asia Pacific is expected to grow with a highest CAGR during the forecast period, owing to factors such as rising automation across different industries as well as increasing penetration of leading market players in the region.

Major market player included in this report are:
Adlink Technology Inc. (Taiwan)
Advantech Co., Ltd. (Taiwan)
Artesyn Embedded Technologies Inc. (California, US)
Brocade Communications Systems, Inc. (California, US)
Huawei Technologies Co., Ltd. (Shenzhen, China)
Juniper Networks, Inc. (California, US)
Nokia Corporation (Espoo, Finland)
Saguna Networks Ltd. (Israel)
Vapor IO, Inc. (Texas, US)
Vasona Networks, Inc. (California, US)

Recent Developments in the Market:
Ø In May 2020, IBM in collaboration with Red Hat launched New Edge Computing Solutions for the 5G. These new offerings run on Red Hat OpenShift enterprise Kubernetes platform that runs on different across the data center to multiple public clouds to the edge.

Global Mobile Edge Computing 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, Application, Organization Size, 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 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 Application
Location-based Services
Video Surveillance
Unified Communication
Optimized Local Content Distribution
Data Analytics
Environmental Monitoring
By Organization Size
Large Enterprises
Small and Medium-sized Enterprises (SMEs)
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 Million)
1.2.1. Mobile Edge Computing Market, by Region, 2019-2029 (USD Million)
1.2.2. Mobile Edge Computing Market, by Component, 2019-2029 (USD Million)
1.2.3. Mobile Edge Computing Market, by Application, 2019-2029 (USD Million)
1.2.4. Mobile Edge Computing Market, by Organization Size, 2019-2029 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Mobile Edge Computing 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 Mobile Edge Computing Market Dynamics
3.1. Mobile Edge Computing Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Increasing automation spending across the industries Growing need for real-time automated decision-making solutions
3.1.2. Market Challenges High deployment cost along with infrastructural limitations
3.1.3. Market Opportunities Growing emergence of extended reality technology Rise in autonomous and connected automobile infrastructure
Chapter 4. Global Mobile Edge Computing 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. 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. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion
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 Mobile Edge Computing Market, by Component
6.1. Market Snapshot
6.2. Global Mobile Edge Computing Market by Component, Performance – Potential Analysis
6.3. Global Mobile Edge Computing Market Estimates & Forecasts by Component 2019-2029 (USD Million)
6.4. Mobile Edge Computing Market, Sub Segment Analysis
6.4.1. Hardware
6.4.2. Software
Chapter 7. Global Mobile Edge Computing Market, by Application
7.1. Market Snapshot
7.2. Global Mobile Edge Computing Market by Application, Performance – Potential Analysis
7.3. Global Mobile Edge Computing Market Estimates & Forecasts by Application 2019-2029 (USD Million)
7.4. Mobile Edge Computing Market, Sub Segment Analysis
7.4.1. Location-based Services
7.4.2. Video Surveillance
7.4.3. Unified Communication
7.4.4. Optimized Local Content Distribution
7.4.5. Data Analytics
7.4.6. Environmental Monitoring
Chapter 8. Global Mobile Edge Computing Market, by Organization Size
8.1. Market Snapshot
8.2. Global Mobile Edge Computing Market by Organization Size, Performance – Potential Analysis
8.3. Global Mobile Edge Computing Market Estimates & Forecasts by Organization Size 2019-2029 (USD Million)
8.4. Mobile Edge Computing Market, Sub Segment Analysis
8.4.1. Large Enterprises
8.4.2. Small and medium Sized Enterprises
Chapter 9. Global Mobile Edge Computing Market, Regional Analysis
9.1. Mobile Edge Computing Market, Regional Market Snapshot
9.2. North America Mobile Edge Computing Market
9.2.1. U.S. Mobile Edge Computing Market Component breakdown estimates & forecasts, 2019-2029 Application breakdown estimates & forecasts, 2019-2029 Organization Size breakdown estimates & forecasts, 2019-2029
9.2.2. Canada Mobile Edge Computing Market
9.3. Europe Mobile Edge Computing Market Snapshot
9.3.1. U.K. Mobile Edge Computing Market
9.3.2. Germany Mobile Edge Computing Market
9.3.3. France Mobile Edge Computing Market
9.3.4. Spain Mobile Edge Computing Market
9.3.5. Italy Mobile Edge Computing Market
9.3.6. Rest of Europe Mobile Edge Computing Market
9.4. Asia-Pacific Mobile Edge Computing Market Snapshot
9.4.1. China Mobile Edge Computing Market
9.4.2. India Mobile Edge Computing Market
9.4.3. Japan Mobile Edge Computing Market
9.4.4. Australia Mobile Edge Computing Market
9.4.5. South Korea Mobile Edge Computing Market
9.4.6. Rest of Asia Pacific Mobile Edge Computing Market
9.5. Latin America Mobile Edge Computing Market Snapshot
9.5.1. Brazil Mobile Edge Computing Market
9.5.2. Mexico Mobile Edge Computing Market
9.5.3. Rest of Latin America Mobile Edge Computing Market
9.6. Rest of The World Mobile Edge Computing Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. Adlink Technology Inc. (Taiwan) Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.2.2. Advantech Co., Ltd. (Taiwan)
10.2.3. Artesyn Embedded Technologies Inc. (California, US)
10.2.4. Brocade Communications Systems, Inc. (California, US)
10.2.5. Huawei Technologies Co., Ltd. (Shenzhen, China)
10.2.6. Juniper Networks, Inc. (California, US)
10.2.7. Nokia Corporation (Espoo, Finland)
10.2.8. Saguna Networks Ltd. (Israel)
10.2.9. Vapor IO, Inc. (Texas, US)
10.2.10. Vasona Networks, Inc. (California, US)
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. 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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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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