[250 Pages Report] Newly-released Virtualized Evolved Packet Core analysis report by Future Market Insights reveals that global sales of Virtualized Evolved Packet Core in 2021 were held at US$ 4.8 Billion. With 15.9% projected growth from 2022 to 2032, the market is expected to reach a valuation of US$ 26 Billion by 2032. Virtualized Evolved Packet Core Services is the highest revenue-generating segment and is projected to grow at a CAGR of over 15.9% from 2022 to 2032.
| Attributes | Details |
|---|---|
| Global Virtualized Evolved Packet Core Size (2022) | US$ 5.9 Billion |
| Global Virtualized Evolved Packet Core Size (2032) | US$ 26 Billion |
| Global Virtualized Evolved Packet Core CAGR (2022 to 2032) | 15.9% |
| USA Virtualized Evolved Packet Core CAGR (2022 to 2032) | 15.7% |
| Key Companies Covered |
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As per the Global Virtualized Evolved Packet Core research by Future Market Insights - a market research and competitive intelligence provider, historically, from 2015 to 2021, the value of the Virtualized Evolved Packet Core increased at around 23.6% CAGR. The key revenue drivers which affect the Virtualized Evolved Packet Core demand include an increase in data traffic on mobile networks.
By the end of 2020, it is predicted that monthly mobile data traffic would amount to about 51 exabytes (EB), and by the end of 2026, it is anticipated to total 226 EB. Currently, 66% of all mobile data traffic is video. Both the rising average amount of data per subscription and the growing subscription rate for smartphones are pivotal for the increase in traffic. India, one of the countries where data traffic growth has been on the rise, continues to account for the highest monthly smartphone usage at 15.7 GB.
The key factors which are propelling the Virtualized Evolved Packet Core demand include chances for MNOs to benefit from the expansion of the IoT sector. It is anticipated that mobile network operators would commercially use virtual EPC in their live networks to serve a variety of use cases. In the heterogeneous IoT world, the ability of MNOs to cost-effectively modify their networks for specific clients, sectors, and applications is crucial.
Additionally, it enables ISPs and businesses to connect mobile and IoT devices, data centers, and public or private clouds by supporting low-latency use cases at the network edge. By connecting all different kinds of devices, systems, and services, the Internet of Things and the ongoing development of Machine-to-Machine (M2M) communication networks have been revolutionizing several industries. IoT is one of the numerous use cases that 5G that would allow and enable communication between a significant number of connected devices and sensors, with the help of network segmentation.
According to their application needs, high-performance, low-latency applications such as mobile video surveillance and low-power, low-latency, long-range IoT apps can be separated. The shift from LTE to 5G is expected to quicken in order to fulfill the demands for creating IoT applications, which are characterized as massive machine-type communication and mission-critical applications.
The growth of the vEPC market is being driven by the requirement to support the steadily rising number of devices connecting to the Internet. The COVID-19 outbreak has caused a significant drop in Internet of Things connectivity. Narrowband-IoT (NB-IoT) and Cat-M are anticipated to account for 52% of all cellular IoT connections, according to the Ericsson Mobility Report. 2G, 3G, 4G, and 5G services are further important IoT mobile connectivity modalities.
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One of the key factors restraining the market of Virtualized Evolved Packet Core is growing security concerns. The network, which can result in significant losses for both enterprises and service providers, is a key issue for CIOs. SDN, NFV, and cloud-native architecture were used to construct the new network infrastructure. Local, regional, and centralized data centers house the network functions, which are isolated from the underlying infrastructure. Most network services in a 4G/LTE cloud network are deployed through public and private cloud infrastructure.
The current legacy networks (2G, 3G, and 3.5G) and internet service networks are connected to the 4G/LTE network, as well as vertical industry networks including automotive, medical, factories, and IoT devices. With a focus on 4G/LTE networks, it will build a network connection fabric made up of intricate heterogeneous networks.
North America is expected to account for the largest Virtualized Evolved Packet Core market throughout the projection period. Due to the presence of sizable telecom oligopolies, the North American area is anticipated to account for a sizeable portion of the market for vEPC solution providers. Mobile service providers use their networks, including wireless broadband, Internet of Things (IoT), and machine-to-machine (M2M). The introduction of the Citizen Broadband Radio Service (CBRS) band by the US government in 2018 for private operators and businesses will serve as a driver for the expansion of vEPC solutions in the enterprise market.
The market in the region is expanding as a result of the rising demand for VoLTE and the growing use of multimedia services. Also, the government initiatives encourage the development of the mature virtualized packet market as well as the presence of numerous telecom behemoths in the area.
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The USA is expected to account for the highest market of US$ 9.2 Billion by the end of 2032. It is expected to be projected to account for an absolute dollar growth of US$ 7.1 Billion. The vEPC industry benefitted from the US government's 2018 establishment of the Citizens Broadband Radio Service (CBRS) band for companies and private operators. VoLTE demand and enhanced multimedia service rollout should both lead to further growth in the market in the area. In the coming years, the regional market will continue to expand significantly due to the presence of sophisticated telecommunications network infrastructure and the rising use of 4G technology. The existence of numerous telecom behemoths and advantageous government measures that increase the utilization of virtualized evolving packet cores may serve as further growth drivers.
The high-value market for virtualized evolved packet core market in the country is also supported by the market-leading companies present in the region such as Cisco, Affirmed Networks, Mavenir, Parallel Wireless, Polaris Network, Xingtera, Lemko, Tecore, among others.
The service component of Virtualized Evolved Packet Core accounted for the highest market for Virtualized Evolved Packet Core. Demand growth of Virtualized Evolved Packet Core Services was recorded at 23.4% from 2015 to 2021, while it is expected to grow at a CAGR of 15.6% from 2022 to 2023. The demand for support services among telecom operators and businesses is anticipated to expand as the use of vEPC solutions develops. The use of vEPC services can minimize expenses and operational costs, boost overall revenue, and enhance corporate performance. Organizations can monitor, assess, and analyze their business requirements with the use of these services in order to make wiser decisions.
5G Network is the most widely utilized network for Virtualized Evolved Packet Core. Demand growth through the 5G Network was recorded at 23.1% from 2015 to 2021, while it is expected to grow at a CAGR of 15.4% from 2022 to 2023. The modern vEPC architecture is an open-source environment for cloud-Native networking. Because mobile networks were held in structure for decades and vendors have effectively not changed, businesspeople are restricted to the legacy vendor architecture.
From the same perspective that a majority of the same functionality only is now available because of the development of new networking technology, networks are now being transitioned from the old network to software-defined, automated 5G NSA architecture. Software-based architecture is more prone to providing automation and improved service adaptability. A good example of a 5G use case that would focus on the industrial and business vertical sectors is the installment of APIs to manage all aspects of a network's resources. These services should be submitted by APIs that automate all kinds of a network's resources in order to perform properly.
Players in the market are constantly developing improved analytical solutions as well as extending their product offerings. The companies in Virtualized Evolved Packet Core are focused on their alliances, technology collaborations, and product launch strategies. The Tier 2 Players in the market are targeting to increase their Virtualized Evolved Packet Core share.
Some of the recent developments in the Virtualized Evolved Packet Core Market are:
The global Virtualized Evolved Packet Core is worth more than US$ 4.8 Billion at present.
The value of Virtualized Evolved Packet Core is projected to increase at a CAGR of around 15.9% from 2022 to 2032.
The value of Virtualized Evolved Packet Core increased at a CAGR of around 23.6% from 2015 to 2021.
The global demand for Virtualized Evolved Packet Core Market is being fueled by data traffic on mobile networks and numerous chances for MNOs to benefit from the expansion of the IoT sector.
The growth of market for vEPC in China is projected to expand at a CAGR of around 15.4% from 2022 to 2032.
The growth of the market for Silicon on Insulator in United States is projected to expand at a CAGR of around 15.7% from 2022 to 2032.
While the market in South Korea is expected to grow at nearly 13.5%, the market in Japan is projected to register a CAGR of nearly 14.3% from 2022 to 2032.
1. Executive Summary | Virtualized Evolved Packet Core (vEPC) Market
1.1. Global Market Outlook
1.2. Summary of Statistics
1.3. Key Market Characteristics & Attributes
1.4. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Risks and Trends Assessment
3.1. Risk Assessment
3.1.1. COVID-19 Crisis and Impact on Demand
3.1.2. COVID-19 Impact Benchmark with Previous Crisis
3.1.3. Impact on Market Value (US$ Million)
3.1.4. Assessment by Key Countries
3.1.5. Assessment by Key Market Segments
3.1.6. Action Points and Recommendation for Suppliers
3.2. Key Trends Impacting the Market
3.3. Formulation and Product Development Trends
4. Market Background
4.1. Market, by Key Countries
4.2. Market Opportunity Assessment (US$ Million)
4.2.1. Total Available Market
4.2.2. Serviceable Addressable Market
4.2.3. Serviceable Obtainable Market
4.3. Market Scenario Forecast
4.3.1. Demand in optimistic Scenario
4.3.2. Demand in Likely Scenario
4.3.3. Demand in Conservative Scenario
4.4. Investment Feasibility Analysis
4.4.1. Investment in Established Markets
4.4.1.1. In Short Term
4.4.1.2. In Long Term
4.4.2. Investment in Emerging Markets
4.4.2.1. In Short Term
4.4.2.2. In Long Term
4.5. Forecast Factors - Relevance & Impact
4.5.1. Top Companies Historical Growth
4.5.2. Growth in Automation, By Country
4.5.3. Adoption Rate, By Country
4.6. Market Dynamics
4.6.1. Market Driving Factors and Impact Assessment
4.6.2. Prominent Market Challenges and Impact Assessment
4.6.3. Market Opportunities
4.6.4. Prominent Trends in the Global Market & Their Impact Assessment
5. Key Success Factors
5.1. Manufacturers’ Focus on Low Penetration High Growth Markets
5.2. Banking on with Segments High Incremental Opportunity
5.3. Peer Benchmarking
6. Global Market Demand Analysis 2015 to 2021 and Forecast, 2022 to 2032
6.1. Historical Market Analysis, 2015 to 2021
6.2. Current and Future Market Projections, 2022 to 2032
6.3. Y-o-Y Growth Trend Analysis
7. Global Market Value Analysis 2015 to 2021 and Forecast, 2022 to 2032
7.1. Historical Market Value (US$ Million) Analysis, 2015 to 2021
7.2. Current and Future Market Value (US$ Million) Projections, 2022 to 2032
7.2.1. Y-o-Y Growth Trend Analysis
7.2.2. Absolute $ Opportunity Analysis
8. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Component
8.1. Introduction / Key Findings
8.2. Historical Market Value (US$ Million) and Analysis By Component, 2015 to 2021
8.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Component, 2022 to 2032
8.3.1. Solution
8.3.1.1. MME
8.3.1.2. HSS
8.3.1.3. S-GW
8.3.1.4. PDN-GW
8.3.2. Services
8.3.2.1. Professional Services
8.3.2.1.1. Consulting Services
8.3.2.1.2. Integration and Deployment Services
8.3.2.1.3. Training and Support Services
8.3.2.2. Managed Services
8.4. Market Attractiveness Analysis By Component
9. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Network Type
9.1. Introduction / Key Findings
9.2. Historical Market Value (US$ Million) and Analysis By Network Type, 2015 to 2021
9.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Network Type, 2022 to 2032
9.3.1. 5G Network
9.3.2. 4G Network
9.4. Market Attractiveness Analysis By Network Type
10. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Deployment Mode
10.1. Introduction / Key Findings
10.2. Historical Market Value (US$ Million) and AnalysisBy Deployment Mode, 2015 to 2021
10.3. Current and Future Market Value (US$ Million) and Analysis and ForecastBy Deployment Mode, 2022 to 2032
10.3.1. Cloud
10.3.2. On-Premises
10.4. Market Attractiveness AnalysisBy Deployment Mode
11. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By End User
11.1. Introduction / Key Findings
11.2. Historical Market Value (US$ Million) and Analysis By End User, 2015 to 2021
11.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By End User, 2022 to 2032
11.3.1. Telecom Operators
11.3.2. Enterprises
11.4. Market Attractiveness Analysis By End User
12. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Application
12.1. Introduction / Key Findings
12.2. Historical Market Value (US$ Million) and Analysis By Application, 2015 to 2021
12.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Application, 2022 to 2032
12.3.1. LTE, VoLTE, and VoWiFi
12.3.2. IoT and M2M
12.3.3. Broadband Wireless Access
12.4. Market Attractiveness Analysis By Application
13. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Region
13.1. Introduction
13.2. Historical Market Value (US$ Million) and Analysis By Region, 2015 to 2021
13.3. Current Market Size (US$ Million) & Analysis and Forecast By Region, 2022 to 2032
13.3.1. North America
13.3.2. Latin America
13.3.3. Europe
13.3.4. Asia Pacific
13.3.5. Middle East and Africa (MEA)
13.4. Market Attractiveness Analysis By Region
14. North America Market Analysis 2015 to 2021 and Forecast 2022 to 2032
14.1. Introduction
14.2. Pricing Analysis
14.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021
14.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
14.4.1. By Country
14.4.1.1. United States of America
14.4.1.2. Canada
14.4.1.3. Rest of North America
14.4.2. By Deployment Mode
14.4.3. By Component
14.4.4. By Network Type
14.4.5. By End User
14.4.6. By Application
14.5. Market Attractiveness Analysis
14.5.1. By Country
14.5.2. By Deployment Mode
14.5.3. By Component
14.5.4. By Network Type
14.5.5. By End User
14.5.6. By Application
15. Latin America Market Analysis 2015 to 2021 and Forecast 2022 to 2032
15.1. Introduction
15.2. Pricing Analysis
15.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021
15.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
15.4.1. By Country
15.4.1.1. Brazil
15.4.1.2. Mexico
15.4.1.3. Rest of Latin America
15.4.2. By Deployment Mode
15.4.3. By Component
15.4.4. By Network Type
15.4.5. By End User
15.4.6. By Application
15.5. Market Attractiveness Analysis
15.5.1. By Country
15.5.2. By Deployment Mode
15.5.3. By Component
15.5.4. By Network Type
15.5.5. By End User
15.5.6. By Application
16. Europe Market Analysis 2015 to 2021 and Forecast 2022 to 2032
16.1. Introduction
16.2. Pricing Analysis
16.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021
16.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
16.4.1. By Country
16.4.1.1. Germany
16.4.1.2. France
16.4.1.3. United Kingdom
16.4.1.4. Italy
16.4.1.5. Russia
16.4.1.6. Rest of Europe
16.4.2. By Deployment Mode
16.4.3. By Component
16.4.4. By Network Type
16.4.5. By End User
16.4.6. By Application
16.5. Market Attractiveness Analysis
16.5.1. By Country
16.5.2. By Deployment Mode
16.5.3. By Component
16.5.4. By Network Type
16.5.5. By End User
16.5.6. By Application
17. Asia Pacific Market Analysis 2015 to 2021 and Forecast 2022 to 2032
17.1. Introduction
17.2. Pricing Analysis
17.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021
17.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
17.4.1. By Country
17.4.1.1. China
17.4.1.2. Japan
17.4.1.3. South Korea
17.4.1.4. Rest of Asia Pacific
17.4.2. By Deployment Mode
17.4.3. By Component
17.4.4. By Network Type
17.4.5. By End User
17.4.6. By Application
17.5. Market Attractiveness Analysis
17.5.1. By Country
17.5.2. By Deployment Mode
17.5.3. By Component
17.5.4. By Network Type
17.5.5. By End User
17.5.6. By Application
18. Middle East and Africa Market Analysis 2015 to 2021 and Forecast 2022 to 2032
18.1. Introduction
18.2. Pricing Analysis
18.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021
18.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
18.4.1. By Country
18.4.1.1. GCC Countries
18.4.1.2. South Africa
18.4.1.3. Turkey
18.4.1.4. Rest of Middle East and Africa
18.4.2. By Deployment Mode
18.4.3. By Component
18.4.4. By Network Type
18.4.5. By End User
18.4.6. By Application
18.5. Market Attractiveness Analysis
18.5.1. By Country
18.5.2. By Deployment Mode
18.5.3. By Component
18.5.4. By Network Type
18.5.5. By End User
18.5.6. By Application
19. Key Countries Market Analysis 2015 to 2021 and Forecast 2022 to 2032
19.1. Introduction
19.1.1. Market Value Proportion Analysis, By Key Countries
19.1.2. Global Vs. Country Growth Comparison
19.2. US Market Analysis
19.2.1. Value Proportion Analysis by Market Taxonomy
19.2.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.2.2.1. By Deployment Mode
19.2.2.2. By Component
19.2.2.3. By Network Type
19.2.2.4. By End User
19.2.2.5. By Application
19.3. Canada Market Analysis
19.3.1. Value Proportion Analysis by Market Taxonomy
19.3.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.3.2.1. By Deployment Mode
19.3.2.2. By Component
19.3.2.3. By Network Type
19.3.2.4. By End User
19.3.2.5. By Application
19.4. Mexico Market Analysis
19.4.1. Value Proportion Analysis by Market Taxonomy
19.4.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.4.2.1. By Deployment Mode
19.4.2.2. By Component
19.4.2.3. By Network Type
19.4.2.4. By End User
19.4.2.5. By Application
19.5. Brazil Market Analysis
19.5.1. Value Proportion Analysis by Market Taxonomy
19.5.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.5.2.1. By Deployment Mode
19.5.2.2. By Component
19.5.2.3. By Network Type
19.5.2.4. By End User
19.5.2.5. By Application
19.6. Germany Market Analysis
19.6.1. Value Proportion Analysis by Market Taxonomy
19.6.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.6.2.1. By Deployment Mode
19.6.2.2. By Component
19.6.2.3. By Network Type
19.6.2.4. By End User
19.6.2.5. By Application
19.7. France Market Analysis
19.7.1. Value Proportion Analysis by Market Taxonomy
19.7.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.7.2.1. By Deployment Mode
19.7.2.2. By Component
19.7.2.3. By Network Type
19.7.2.4. By End User
19.7.2.5. By Application
19.8. Italy Market Analysis
19.8.1. Value Proportion Analysis by Market Taxonomy
19.8.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.8.2.1. By Deployment Mode
19.8.2.2. By Component
19.8.2.3. By Network Type
19.8.2.4. By End User
19.8.2.5. By Application
19.9. Russia Market Analysis
19.9.1. Value Proportion Analysis by Market Taxonomy
19.9.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.9.2.1. By Deployment Mode
19.9.2.2. By Component
19.9.2.3. By Network Type
19.9.2.4. By End User
19.9.2.5. By Application
19.10. UK Market Analysis
19.10.1. Value Proportion Analysis by Market Taxonomy
19.10.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.10.2.1. By Deployment Mode
19.10.2.2. By Component
19.10.2.3. By Network Type
19.10.2.4. By End User
19.10.2.5. By Application
19.11. China Market Analysis
19.11.1. Value Proportion Analysis by Market Taxonomy
19.11.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.11.2.1. By Deployment Mode
19.11.2.2. By Component
19.11.2.3. By Network Type
19.11.2.4. By End User
19.11.2.5. By Application
19.12. Japan Market Analysis
19.12.1. Value Proportion Analysis by Market Taxonomy
19.12.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.12.2.1. By Deployment Mode
19.12.2.2. By Component
19.12.2.3. By Network Type
19.12.2.4. By End User
19.12.2.5. By Application
19.13. South Korea Market Analysis
19.13.1. Value Proportion Analysis by Market Taxonomy
19.13.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.13.2.1. By Deployment Mode
19.13.2.2. By Component
19.13.2.3. By Network Type
19.13.2.4. By End User
19.13.2.5. By Application
19.14. GCC Countries Market Analysis
19.14.1. Value Proportion Analysis by Market Taxonomy
19.14.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.14.2.1. By Deployment Mode
19.14.2.2. By Component
19.14.2.3. By Network Type
19.14.2.4. By End User
19.14.2.5. By Application
19.15. South Africa Market Analysis
19.15.1. Value Proportion Analysis by Market Taxonomy
19.15.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.15.2.1. By Deployment Mode
19.15.2.2. By Component
19.15.2.3. By Network Type
19.15.2.4. By End User
19.15.2.5. By Application
19.16. Turkey Market Analysis
19.16.1. Value Proportion Analysis by Market Taxonomy
19.16.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.16.2.1. By Deployment Mode
19.16.2.2. By Component
19.16.2.3. By Network Type
19.16.2.4. By End User
19.16.2.5. By Application
19.16.3. Competition Landscape and Player Concentration in the Country
20. Market Structure Analysis
20.1. Market Analysis by Tier of Companies
20.2. Market Concentration
20.3. Market Share Analysis of Top Players
20.4. Market Presence Analysis
20.4.1. By Regional footprint of Players
20.4.2. Product footprint by Players
21. Competition Analysis
21.1. Competition Dashboard
21.2. Competition Benchmarking
21.3. Competition Deep Dive
21.3.1. ERICSSON
21.3.1.1. Overview
21.3.1.2. Product Portfolio
21.3.1.3. Sales Footprint
21.3.1.4. Strategy Overview
21.3.2. HUAWEI
21.3.2.1. Overview
21.3.2.2. Product Portfolio
21.3.2.3. Sales Footprint
21.3.2.4. Strategy Overview
21.3.3. NOKIA
21.3.3.1. Overview
21.3.3.2. Product Portfolio
21.3.3.3. Sales Footprint
21.3.3.4. Strategy Overview
21.3.4. ZTE
21.3.4.1. Overview
21.3.4.2. Product Portfolio
21.3.4.3. Sales Footprint
21.3.4.4. Strategy Overview
21.3.5. CISCO
21.3.5.1. Overview
21.3.5.2. Product Portfolio
21.3.5.3. Sales Footprint
21.3.5.4. Strategy Overview
21.3.6. AFFIRMED NETWORKS
21.3.6.1. Overview
21.3.6.2. Product Portfolio
21.3.6.3. Sales Footprint
21.3.6.4. Strategy Overview
21.3.7. MAVENIR
21.3.7.1. Overview
21.3.7.2. Product Portfolio
21.3.7.3. Sales Footprint
21.3.7.4. Strategy Overview
21.3.8. SAMSUNG
21.3.8.1. Overview
21.3.8.2. Product Portfolio
21.3.8.3. Sales Footprint
21.3.8.4. Strategy Overview
21.3.9. ATHONET
21.3.9.1. Overview
21.3.9.2. Product Portfolio
21.3.9.3. Sales Footprint
21.3.9.4. Strategy Overview
21.3.10. NEC
21.3.10.1. Overview
21.3.10.2. Product Portfolio
21.3.10.3. Sales Footprint
21.3.10.4. Strategy Overview
22. Assumptions and Acronyms Used
23. Research Methodology
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Virtualized Evolved Packet Core (vEPC) Market
