Virtualized Evolved Packet Core Market Size, Share & Trends Analysis Report By Offerings (Solutions, Services), Deployment Mode (On-Premises, Cloud-based), By Network Type (LTE, 5G), By End-User), By Region, And By Segment Forecasts, 2023-2031.

Report Id: 2015 Pages: 180 Last Updated: 20 March 2024 Format: PDF / PPT / Excel / Power BI
Share With : linkedin twitter facebook

Segmentation of Virtualized Evolved Packet Core Market-

Virtualized Evolved Packet Core Market

Virtualized Evolved Packet Core Market By Offerings-

  • Solutions
    • Virtualized Packet Gateway
    • Virtualized Mobility Management Entity (vMME)
    • Policy and Charging Rules Function (PCRF)
  • Services
    • Consulting and Advisory Services
    • System Integration and Deployment Services
    • Maintenance and Support Services

Virtualized Evolved Packet Core Market By Deployment Mode

  • On-Premises
  • Cloud-based

Virtualized Evolved Packet Core Market By Network Type-

  • LTE
  • 5G

Virtualized Evolved Packet Core Market By End-User-

  • Telecommunication Service Providers
    • Mobile Network Operators (MNOs)
    • Virtual Network Operators (VNOs)
  • Enterprises
    • Manufacturing
    • Healthcare
    • Transportation and Logistics

Virtualized Evolved Packet Core Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary

Chapter 3. Global Virtualized Evolved Packet Core Market Snapshot

Chapter 4. Global Virtualized Evolved Packet Core Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis of Metaverse Industry
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. COVID-19 Impact on Metaverse Industry

Chapter 5. Market Segmentation 1: By Offerings Estimates & Trend Analysis
5.1. By Offerings & Market Share, 2019-2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 for the following By Offerings :
5.2.1. Solutions
5.2.1.1. Virtualized Packet Gateway
5.2.1.2. Virtualized Mobility Management Entity (vMME)
5.2.1.3. Policy and Charging Rules Function (PCRF)
5.2.2. Services
5.2.2.1. Consulting and Advisory Services
5.2.2.2. System Integration and Deployment Services
5.2.2.3. Maintenance and Support Services

Chapter 6. Market Segmentation 2: By Deployment Mode Estimates & Trend Analysis
6.1. By Offerings & Market Share, 2019-2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 for the following By Deployment Mode:
6.2.1. On-Premises
6.2.2. Cloud-based

Chapter 7. Market Segmentation 3: By Network Type Estimates & Trend Analysis
7.1. By Offerings & Market Share, 2019-2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 for the following By Network Type:
7.2.1.1. LTE
7.2.1.2. 5G

Chapter 8. Market Segmentation 4: By End Use Estimates & Trend Analysis

8.1. By Offerings & Market Share, 2019-2031
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 for the following By End Use:
8.2.1.1. Telecommunication Service Providers
8.2.1.2. Mobile Network Operators (MNOs)
8.2.1.3. Virtual Network Operators (VNOs)
8.2.1.4. Enterprises
8.2.1.5. Manufacturing
8.2.1.6. Healthcare
8.2.1.7. Transportation and Logistics

Chapter 9. Virtualized Evolved Packet Core Market Segmentation 5: Regional Estimates & Trend Analysis

9.1. North America

9.1.1. North America Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By Offerings, 2023-2031
9.1.2. North America Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By Deployment Mode, 2023-2031
9.1.3. North America Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By Network Type, 2023-2031
9.1.4. North America Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By, End Use2023-2031
9.1.5. North America Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts by country, 2023-2031
9.1.5.1. U.S.
9.1.5.2. Canada

9.2. Europe

9.2.1. Europe Virtualized Evolved Packet Core Market revenue (US$ Million) By Offerings, 2023-2031
9.2.2. Europe Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By Deployment Mode, 2023-2031
9.2.3. Europe Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By Network Type 2023-2031
9.2.4. Europe Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By End Use,2023-2031
9.2.5. Europe Virtualized Evolved Packet Core Market revenue (US$ Million) by country, 2023-2031
9.2.5.1. Germany
9.2.5.2. Poland
9.2.5.3. France
9.2.5.4. Italy
9.2.5.5. Spain
9.2.5.6. UK
9.2.5.7. Rest of Europe

9.3. Asia Pacific

9.3.1. Asia Pacific Virtualized Evolved Packet Core Market revenue (US$ Million) By Offerings, 2023-2031
9.3.2. Asia Pacific Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By Deployment Mode, 2023-2031
9.3.3. Asia Pacific Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By Network Type, 2023-2031
9.3.4. Asia Pacific Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By End Use, 2023-20
9.3.5. Asia Pacific Virtualized Evolved Packet Core Market revenue (US$ Million) by country, 2023-2031
9.3.5.1. China
9.3.5.2. India
9.3.5.3. Japan
9.3.5.4. Australia
9.3.5.5. Rest of Asia Pacific

9.4. Latin America

9.4.1. Latin America Virtualized Evolved Packet Core Market revenue (US$ Million) By Offerings, 2023-2031
9.4.2. Latin America Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By Deployment Mode, 2023-2031
9.4.3. Latin America Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By Network Type, 2023-2031
9.4.4. Latin America Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By End Use, 2023-2031
9.4.5. Latin America Virtualized Evolved Packet Core Market revenue (US$ Million) by country, (US$ Million) 2023-2031
9.4.5.1. Brazil
9.4.5.2. Rest of Latin America


9.5. Middle East & Africa
9.5.1. Middle East & Africa Virtualized Evolved Packet Core Market revenue (US$ Million) By Offerings, (US$ Million)
9.5.2. Middle East & Africa Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By Deployment Mode, 2023-2031
9.5.3. Middle East & Africa Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By Network Type, 2023-2031
9.5.4. Middle East & Africa Virtualized Evolved Packet Core Market revenue (US$ Million) estimates and forecasts By End Use, 2023-2031
9.5.5. Middle East & Africa Virtualized Evolved Packet Core Market revenue (US$ Million) by country, (US$ Million) 2023-2031
9.5.5.1. South Africa
9.5.5.2. GCC Countries
9.5.5.3. Rest of MEA

Chapter 10. Competitive Landscape

10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles

10.2.1. ZTE Corporation (China)
10.2.2. Cisco Systems Inc. (U.S.)
10.2.3. Telefonaktiebolaget LM Ericsson SE (Sweden)
10.2.4. Affirmed Networks Inc. (U.S.)
10.2.5. Mavenir Systems Inc. (U.S.)
10.2.6. Huawei Technologies Co. Ltd. (China)
10.2.7. Samsung Electronics Co. Ltd. (South Korea)
10.2.8. Tecore Inc. (U.S.)
10.2.9. Nokia Corporation (Finland)
10.2.10. Parallel Wireless Inc. (U.S.)
10.2.11. F5 Networks Inc. (U.S.)
10.2.12. NEC Corporation (Japan)
10.2.13. IPLOOK Technologies Co Ltd (China)
10.2.14. Polaris Networks (U.S.)
10.2.15. Athonet SRL (Italy)
10.2.16. LEMKO Corporation (U.S.)
10.2.17. Metaswitch Networks (U.K.)
10.2.18. Intel Corporation (U.S.)

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

Name field cannot be blank!
Email field cannot be blank!(Use email format)
Designation field cannot be blank!
Company field cannot be blank!
Contact No field cannot be blank!
Message field cannot be blank!
5431
Security Code field cannot be blank!

Frequently Asked Questions

The Virtualized Evolved Packet Core Market Size is valued at USD 7.04 Bn in 2022 and is predicted to reach USD 30.36 Bn by the year 2031.

The Virtualized Evolved Packet Core Market Size is expected to grow at a 17.8 % CAGR during the forecast period for 2023-2031.

ZTE Corporation (China), Cisco Systems, Inc. (U.S.), Telefonaktiebolaget LM Ericsson SE (Sweden), Affirmed Networks, Inc. (U.S.), Mavenir Systems, Inc

Report License Selection

Determine the Appropriate License for your Report

Get Sample Report Enquiry Before Buying