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WAN Optimization Market Overview (2023 to 2033)

A newly released WAN Optimization Market analysis report by Future Market Insights shows that global sales of the WAN Optimization Market in 2023 were held at US$ 1,150.9 million. With 6.2% projected growth from 2023 to 2033, the market is expected to reach a valuation of US$ 2,106.9 million by 2033.

WAN Optimization Solutions is expected to be the highest revenue-generating category, projected to register an absolute dollar opportunity of 6.2% from 2023 to 2033.

Attributes Details
Global WAN Optimization Market Size (2023) US$ 1,150.9 million
Global WAN Optimization Market Size (2033) US$ 2,106.9 million
Global WAN Optimization Market CAGR (2023 to 2033) 6.2%
United States WAN Optimization Market Size (2033) US$ 737.7 million
United States WAN Optimization Market CAGR (2023 to 2033) 5.9%
Key Companies Covered
  • Cisco Systems Inc.
  • HPE (Silver Peak)
  • Riverbed Technology
  • Citrix Systems Inc.
  • Fortinet
  • Vmware Inc.
  • Broadcom
  • FatPipe Networks Inc.
  • Versa Networks Inc
  • Exinda
  • Blue Coat System
  • Infovista Corporation
  • NTT Communications
  • Aryaka Networks Inc.

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Revenue of WAN Optimization Market from 2018 to 2022 Compared to Demand Outlook for 2023 to 2033

As per the WAN Optimization Market research by Future Market Insights - a market research and competitive intelligence provider, historically, from 2018 to 2022, the market value of the WAN Optimization Market increased at around 4.1% CAGR. With an absolute dollar opportunity of US$ 1,150.9 million in 2023, the market is projected to reach a valuation of US$ 2,106.9 million.

WAN optimization enables firms to maintain their branch offices and data centers linked while also lowering deployment and maintenance costs by 30 to 40%. For optimal performance, most cloud-based apps require high bandwidth and minimal latency. Latency, capacity restrictions, as well as packet loss, are unavoidable in large-scale WAN installations. By removing the impacts of latency and distances between branch locations, data centers, and the cloud, WAN optimization allows businesses and network operators to save money and cut expenses by reducing bandwidth needs and increasing user efficiency.

AT&T has added a new service option relying on Cisco Secure SD-WAN technologies to its AT&T SD-WAN solutions. The new solution, which is available to clients globally, has natively embedded security features that support threat prevention that is consistent across branch locations and the cloud without sacrificing speed. Cisco's ISR and ASR routers, as well as its Enterprises Network Computer Systems (ENCS), enable the SD-WAN solution, which is administered through a unified cloud-based dashboard.

An application-aware business firewall, intrusion detection and prevention, URL filtering, and enhanced malware protection are among the integrated security features. AT&T Management Platform will cooperate alongside AT&T Cybersecurity to maintain and administer the new service, which will be powered by Cisco's vManage controller, which minimizes complexity by combining network and security administration into a single interface.

What Factors are Propelling WAN Optimization Demand?

The significant increase in demand for solutions that help enterprises monitor and manage data center networks efficiently is driving market expansion. Allowing employees to work from home has made it easier for businesses to finance IT infrastructure and, as a result, wide area networks (WAN) optimization solutions enable remote monitoring of each employee's performance. Throughout this application generation, customer experience is a key and significant component. When apps fail to work as expected, employee involvement and customer happiness suffer. Unless application performance is safeguarded and supplied properly for all users, the digital transformation lacks clear the intended business effect. Regardless of the size, location, or complexities of the network environment, every organization's IT teams have a significant issue in dynamically orchestrating the quality and performance of every application in real time, which may be overcome with the aid of a WAN optimization solution.

ZTE and InfoVista formed a new partnership as well as the broad release of their integrated solution. As a consequence, application-aware SD-WAN solutions provide businesses with exceptional agility, scalability, and streamlined operation and maintenance while simultaneously ensuring the functioning of their mission-critical applications.

ZTE's routing, overlay, zero-touch management, and service orchestration are combined with InfoVista's software monitoring, application QoS controls, application session forwarding, and WAN optimization to provide a single monolithic branch gateway. The integrated solution provides both a managed delivery strategy and a self-hosted one to fulfill the demands of different customers. The solution provides a managed, multi-tenant delivery approach for service providers looking to capitalize on the rising need for hybrid WAN connections.

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Principal Consultant

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Region-wise Analysis

Which Region is Projected to Offer the Largest Opportunity for WAN Optimization Market?

North America has been a particularly favorable market for the WAN optimization solution's growth. Due to the growing need for the next generation of 5G networks, the area is witnessing a surge in SD-WAN solutions. Due to the fast-changing technological landscape, businesses in the region are migrating to managed SD-WAN services. North America has gained considerable market share as a result of the growing demand for network monitoring solutions with the increased adoption of technology throughout industry verticals including banking, telecommunications, and healthcare.

Country-wise Analysis

Which Country Lies at the Centerstage for WAN Optimization Market?

By the end of 2032, the USA is predicted to hold a significant market share, valued at US$ 737.7 million. The USA is seeing significant developments in broadband infrastructure, which is helping to drive the WAN optimization industry in the area. Furthermore, there is a significant increase in demand for sophisticated network optimization solutions across a number of educational institutions in the USA in order to give a positive user experience throughout e-learning procedures.

Altice USA is partnering with Cisco to broaden the reach of its own Wide Area Networking business solutions to businesses, allowing them a better user experience that gains more flexibility in managing network applications. SD-WAN software technology gives remote workers the network intelligence they need to connect to cloud-based apps and data.

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Category-wise Insights

Which WAN Optimization Type is projected to Witness the Fastest Growth?

The WAN Optimization Solutions segment is forecasted to grow at the highest CAGR of over 6% from 2023 to 2033. Riverbed recently introduced Riverbed SaaS Accelerator, a solution that boosts the speed of popular SaaS programs like Office 365, Salesforce, ServiceNow, and Box by up to ten times. When SaaS Accelerator is used in conjunction with End Consumer Experience Monitoring, companies can measure the progress of SaaS-based corporate apps in real-time for the first time, and then easily accelerate performance using SaaS Accelerator.

Which Product Type of WAN Optimization is Expected to Score the Highest Growth in the Coming Years?

The Large Enterprises segment is forecasted to grow at the highest CAGR of over 6.1% from 2023 to 2033. The increased use of WAN optimization software amongst large technology organizations, banks, healthcare, and e-commerce shops is to blame for this. These technologies have assisted these businesses in lowering their ownership costs and overcoming latency issues while increasing the efficiency of the network. Furthermore, huge corporations use software from a variety of providers for various applications. WAN optimization solutions provide interoperability that allows diverse technologies to work in unison.

Competitive Analysis

The leading players in the global WAN Optimization market are Riverbed Technology, Allot Communication Ltd., Silver Peak System INC, Citrix Systems, INC, Array Networks, INC., Cisco Systems, INC., F5 Networks, INC., Radware Ltd., Streamcore., Juniper Networks Inc., Acacia Communications Inc., and Amphenol Corporation.

  • In July 2020, Hewlett Packard Enterprise announced its plans to acquire Silver Peak, a USA-based supplier of SD-WAN solutions. The US$ 925 million acquisition deal aims to broaden its selection of SD-WAN products.
  • In May 2019, Argon Consulting announced a partnership with Guerlain on a unique solution for speeding supply flows based on Sigfox IoT technology and a worldwide 0G network. Guerlain, a Perfumes and Cosmetics leader, is the first to employ this strategy.
  • May 2023 - Vector Capital, a private equity firm leading in transformational investments announced its acquisition of Riverbed Technology, an IT solutions provider.
  • March 2023 - Fortinet, a leading cybersecurity firm, announced that Emirates National Oil Company Limited (ENOC), a government company in Dubai, chose Fortinet Secure SD-WAN to transform consumer experience and increase operational efficiency.

Similarly, recent developments related to companies in WAN Optimization services have been tracked by the team at Future Market Insights, which are available in the full report.

Market Segments Covered in WAN Optimization Market Analysis

By Component:

  • Solutions
  • Services

By Deployment Type:

  • Cloud
  • On-Premises

By End User:

  • SME’s
  • Large Enterprises

By Vertical:

  • Banking, Financial Services, and Insurance
  • Healthcare
  • Healthcare
  • Manufacturing
  • Retail
  • Media & Entertainment
  • Energy
  • Education
  • Others

By Region:

  • North America
  • Europe
  • Asia Pacific
  • Middle East and Africa
  • Latin America

Frequently Asked Questions

What is the Current WAN Optimization Market Size?

As of 2023, the WAN optimization market holds a valuation of US$ 1,150.9 million.

What are the Growth Prospects for the WAN Optimization Market in the Next Decade?

The WAN optimization market is projected to attain a value of US$ 2,106.9 million by 2033, driven by a CAGR of 6.2% between 2023 and 2033.

What are the Emerging Niches in the WAN Optimization Market?

SD-WAN solutions, optimization in the cloud, and accelerators personalized for specific applications are flourishing niches in the WAN optimization market.

What Country Rules the WAN Optimization Market?

The WAN optimization market is predominantly led by the United States, with a projected substantial market revenue of US$ 737.7 million by 2033.

What was the WAN Optimization Market's Past Record like?

The WAN optimization market recorded a CAGR of 4.1% between 2018 and 2022.

Table of Content

1. Executive Summary

    1.1. Global Market Outlook

    1.2. Demand-side Trends

    1.3. Supply-side Trends

    1.4. Technology Roadmap Analysis

    1.5. Analysis and Recommendations

2. Market Overview

    2.1. Market Coverage / Taxonomy

    2.2. Market Definition / Scope / Limitations

3. Market Background

    3.1. Market Dynamics

        3.1.1. Drivers

        3.1.2. Restraints

        3.1.3. Opportunity

        3.1.4. Trends

    3.2. Scenario Forecast

        3.2.1. Demand in Optimistic Scenario

        3.2.2. Demand in Likely Scenario

        3.2.3. Demand in Conservative Scenario

    3.3. Opportunity Map Analysis

    3.4. Investment Feasibility Matrix

    3.5. PESTLE and Porter’s Analysis

    3.6. Regulatory Landscape

        3.6.1. By Key Regions

        3.6.2. By Key Countries

    3.7. Regional Parent Market Outlook

4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033

    4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022

    4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033

        4.2.1. Y-o-Y Growth Trend Analysis

        4.2.2. Absolute $ Opportunity Analysis

5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component

    5.1. Introduction / Key Findings

    5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022

    5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033

        5.3.1. Solutions

        5.3.2. Services

    5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022

    5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033

6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Type

    6.1. Introduction / Key Findings

    6.2. Historical Market Size Value (US$ Million) Analysis By Deployment Type, 2018 to 2022

    6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Type, 2023 to 2033

        6.3.1. Cloud

        6.3.2. On-Premises

    6.4. Y-o-Y Growth Trend Analysis By Deployment Type, 2018 to 2022

    6.5. Absolute $ Opportunity Analysis By Deployment Type, 2023 to 2033

7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User 

    7.1. Introduction / Key Findings

    7.2. Historical Market Size Value (US$ Million) Analysis By End User, 2018 to 2022

    7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2023 to 2033

        7.3.1. SME’s

        7.3.2. Large Enterprises

    7.4. Y-o-Y Growth Trend Analysis By End User, 2018 to 2022

    7.5. Absolute $ Opportunity Analysis By End User, 2023 to 2033

8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vertical

    8.1. Introduction / Key Findings

    8.2. Historical Market Size Value (US$ Million) Analysis By Vertical, 2018 to 2022

    8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vertical, 2023 to 2033

        8.3.1. Banking, Financial Services, and Insurance

        8.3.2. Healthcare

        8.3.3. Manufacturing

        8.3.4. Retail

        8.3.5. Media & Entertainment

        8.3.6. Energy

        8.3.7. Education

        8.3.8. Others

    8.4. Y-o-Y Growth Trend Analysis By Vertical, 2018 to 2022

    8.5. Absolute $ Opportunity Analysis By Vertical, 2023 to 2033

9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region

    9.1. Introduction

    9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022

    9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033

        9.3.1. North America

        9.3.2. Latin America

        9.3.3. Western Europe

        9.3.4. Eastern Europe

        9.3.5. South Asia and Pacific

        9.3.6. East Asia

        9.3.7. Middle East and Africa

    9.4. Market Attractiveness Analysis By Region

10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        10.2.1. By Country

            10.2.1.1. U.S.

            10.2.1.2. Canada

        10.2.2. By Component

        10.2.3. By Deployment Type

        10.2.4. By End User

        10.2.5. By Vertical

    10.3. Market Attractiveness Analysis

        10.3.1. By Country

        10.3.2. By Component

        10.3.3. By Deployment Type

        10.3.4. By End User

        10.3.5. By Vertical

    10.4. Key Takeaways

11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        11.2.1. By Country

            11.2.1.1. Brazil

            11.2.1.2. Mexico

            11.2.1.3. Rest of Latin America

        11.2.2. By Component

        11.2.3. By Deployment Type

        11.2.4. By End User

        11.2.5. By Vertical

    11.3. Market Attractiveness Analysis

        11.3.1. By Country

        11.3.2. By Component

        11.3.3. By Deployment Type

        11.3.4. By End User

        11.3.5. By Vertical

    11.4. Key Takeaways

12. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        12.2.1. By Country

            12.2.1.1. Germany

            12.2.1.2. U.K.

            12.2.1.3. France

            12.2.1.4. Spain

            12.2.1.5. Italy

            12.2.1.6. Rest of Western Europe

        12.2.2. By Component

        12.2.3. By Deployment Type

        12.2.4. By End User

        12.2.5. By Vertical

    12.3. Market Attractiveness Analysis

        12.3.1. By Country

        12.3.2. By Component

        12.3.3. By Deployment Type

        12.3.4. By End User

        12.3.5. By Vertical

    12.4. Key Takeaways

13. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        13.2.1. By Country

            13.2.1.1. Poland

            13.2.1.2. Russia

            13.2.1.3. Czech Republic

            13.2.1.4. Romania

            13.2.1.5. Rest of Eastern Europe

        13.2.2. By Component

        13.2.3. By Deployment Type

        13.2.4. By End User

        13.2.5. By Vertical

    13.3. Market Attractiveness Analysis

        13.3.1. By Country

        13.3.2. By Component

        13.3.3. By Deployment Type

        13.3.4. By End User

        13.3.5. By Vertical

    13.4. Key Takeaways

14. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        14.2.1. By Country

            14.2.1.1. India

            14.2.1.2. Bangladesh

            14.2.1.3. Australia

            14.2.1.4. New Zealand

            14.2.1.5. Rest of South Asia and Pacific

        14.2.2. By Component

        14.2.3. By Deployment Type

        14.2.4. By End User

        14.2.5. By Vertical

    14.3. Market Attractiveness Analysis

        14.3.1. By Country

        14.3.2. By Component

        14.3.3. By Deployment Type

        14.3.4. By End User

        14.3.5. By Vertical

    14.4. Key Takeaways

15. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        15.2.1. By Country

            15.2.1.1. China

            15.2.1.2. Japan

            15.2.1.3. South Korea

        15.2.2. By Component

        15.2.3. By Deployment Type

        15.2.4. By End User

        15.2.5. By Vertical

    15.3. Market Attractiveness Analysis

        15.3.1. By Country

        15.3.2. By Component

        15.3.3. By Deployment Type

        15.3.4. By End User

        15.3.5. By Vertical

    15.4. Key Takeaways

16. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        16.2.1. By Country

            16.2.1.1. GCC Countries

            16.2.1.2. South Africa

            16.2.1.3. Israel

            16.2.1.4. Rest of MEA

        16.2.2. By Component

        16.2.3. By Deployment Type

        16.2.4. By End User

        16.2.5. By Vertical

    16.3. Market Attractiveness Analysis

        16.3.1. By Country

        16.3.2. By Component

        16.3.3. By Deployment Type

        16.3.4. By End User

        16.3.5. By Vertical

    16.4. Key Takeaways

17. Key Countries Market Analysis

    17.1. USA

        17.1.1. Pricing Analysis

        17.1.2. Market Share Analysis, 2022

            17.1.2.1. By Component

            17.1.2.2. By Deployment Type

            17.1.2.3. By End User

            17.1.2.4. By Vertical

    17.2. Canada

        17.2.1. Pricing Analysis

        17.2.2. Market Share Analysis, 2022

            17.2.2.1. By Component

            17.2.2.2. By Deployment Type

            17.2.2.3. By End User

            17.2.2.4. By Vertical

    17.3. Brazil

        17.3.1. Pricing Analysis

        17.3.2. Market Share Analysis, 2022

            17.3.2.1. By Component

            17.3.2.2. By Deployment Type

            17.3.2.3. By End User

            17.3.2.4. By Vertical

    17.4. Mexico

        17.4.1. Pricing Analysis

        17.4.2. Market Share Analysis, 2022

            17.4.2.1. By Component

            17.4.2.2. By Deployment Type

            17.4.2.3. By End User

            17.4.2.4. By Vertical

    17.5. Germany

        17.5.1. Pricing Analysis

        17.5.2. Market Share Analysis, 2022

            17.5.2.1. By Component

            17.5.2.2. By Deployment Type

            17.5.2.3. By End User

            17.5.2.4. By Vertical

    17.6. U.K.

        17.6.1. Pricing Analysis

        17.6.2. Market Share Analysis, 2022

            17.6.2.1. By Component

            17.6.2.2. By Deployment Type

            17.6.2.3. By End User

            17.6.2.4. By Vertical

    17.7. France

        17.7.1. Pricing Analysis

        17.7.2. Market Share Analysis, 2022

            17.7.2.1. By Component

            17.7.2.2. By Deployment Type

            17.7.2.3. By End User

            17.7.2.4. By Vertical

    17.8. Spain

        17.8.1. Pricing Analysis

        17.8.2. Market Share Analysis, 2022

            17.8.2.1. By Component

            17.8.2.2. By Deployment Type

            17.8.2.3. By End User

            17.8.2.4. By Vertical

    17.9. Italy

        17.9.1. Pricing Analysis

        17.9.2. Market Share Analysis, 2022

            17.9.2.1. By Component

            17.9.2.2. By Deployment Type

            17.9.2.3. By End User

            17.9.2.4. By Vertical

    17.10. Poland

        17.10.1. Pricing Analysis

        17.10.2. Market Share Analysis, 2022

            17.10.2.1. By Component

            17.10.2.2. By Deployment Type

            17.10.2.3. By End User

            17.10.2.4. By Vertical

    17.11. Russia

        17.11.1. Pricing Analysis

        17.11.2. Market Share Analysis, 2022

            17.11.2.1. By Component

            17.11.2.2. By Deployment Type

            17.11.2.3. By End User

            17.11.2.4. By Vertical

    17.12. Czech Republic

        17.12.1. Pricing Analysis

        17.12.2. Market Share Analysis, 2022

            17.12.2.1. By Component

            17.12.2.2. By Deployment Type

            17.12.2.3. By End User

            17.12.2.4. By Vertical

    17.13. Romania

        17.13.1. Pricing Analysis

        17.13.2. Market Share Analysis, 2022

            17.13.2.1. By Component

            17.13.2.2. By Deployment Type

            17.13.2.3. By End User

            17.13.2.4. By Vertical

    17.14. India

        17.14.1. Pricing Analysis

        17.14.2. Market Share Analysis, 2022

            17.14.2.1. By Component

            17.14.2.2. By Deployment Type

            17.14.2.3. By End User

            17.14.2.4. By Vertical

    17.15. Bangladesh

        17.15.1. Pricing Analysis

        17.15.2. Market Share Analysis, 2022

            17.15.2.1. By Component

            17.15.2.2. By Deployment Type

            17.15.2.3. By End User

            17.15.2.4. By Vertical

    17.16. Australia

        17.16.1. Pricing Analysis

        17.16.2. Market Share Analysis, 2022

            17.16.2.1. By Component

            17.16.2.2. By Deployment Type

            17.16.2.3. By End User

            17.16.2.4. By Vertical

    17.17. New Zealand

        17.17.1. Pricing Analysis

        17.17.2. Market Share Analysis, 2022

            17.17.2.1. By Component

            17.17.2.2. By Deployment Type

            17.17.2.3. By End User

            17.17.2.4. By Vertical

    17.18. China

        17.18.1. Pricing Analysis

        17.18.2. Market Share Analysis, 2022

            17.18.2.1. By Component

            17.18.2.2. By Deployment Type

            17.18.2.3. By End User

            17.18.2.4. By Vertical

    17.19. Japan

        17.19.1. Pricing Analysis

        17.19.2. Market Share Analysis, 2022

            17.19.2.1. By Component

            17.19.2.2. By Deployment Type

            17.19.2.3. By End User

            17.19.2.4. By Vertical

    17.20. South Korea

        17.20.1. Pricing Analysis

        17.20.2. Market Share Analysis, 2022

            17.20.2.1. By Component

            17.20.2.2. By Deployment Type

            17.20.2.3. By End User

            17.20.2.4. By Vertical

    17.21. GCC Countries

        17.21.1. Pricing Analysis

        17.21.2. Market Share Analysis, 2022

            17.21.2.1. By Component

            17.21.2.2. By Deployment Type

            17.21.2.3. By End User

            17.21.2.4. By Vertical

    17.22. South Africa

        17.22.1. Pricing Analysis

        17.22.2. Market Share Analysis, 2022

            17.22.2.1. By Component

            17.22.2.2. By Deployment Type

            17.22.2.3. By End User

            17.22.2.4. By Vertical

    17.23. Israel

        17.23.1. Pricing Analysis

        17.23.2. Market Share Analysis, 2022

            17.23.2.1. By Component

            17.23.2.2. By Deployment Type

            17.23.2.3. By End User

            17.23.2.4. By Vertical

18. Market Structure Analysis

    18.1. Competition Dashboard

    18.2. Competition Benchmarking

    18.3. Market Share Analysis of Top Players

        18.3.1. By Regional

        18.3.2. By Component

        18.3.3. By Deployment Type

        18.3.4. By End User

        18.3.5. By Vertical

19. Competition Analysis

    19.1. Competition Deep Dive

        19.1.1. Cisco Systems Inc.

            19.1.1.1. Overview

            19.1.1.2. Product Portfolio

            19.1.1.3. Profitability by Market Segments

            19.1.1.4. Sales Footprint

            19.1.1.5. Strategy Overview

                19.1.1.5.1. Marketing Strategy

        19.1.2. HPE (Silver Peak)

            19.1.2.1. Overview

            19.1.2.2. Product Portfolio

            19.1.2.3. Profitability by Market Segments

            19.1.2.4. Sales Footprint

            19.1.2.5. Strategy Overview

                19.1.2.5.1. Marketing Strategy

        19.1.3. Riverbed Technology

            19.1.3.1. Overview

            19.1.3.2. Product Portfolio

            19.1.3.3. Profitability by Market Segments

            19.1.3.4. Sales Footprint

            19.1.3.5. Strategy Overview

                19.1.3.5.1. Marketing Strategy

        19.1.4. Citrix Systems Inc.

            19.1.4.1. Overview

            19.1.4.2. Product Portfolio

            19.1.4.3. Profitability by Market Segments

            19.1.4.4. Sales Footprint

            19.1.4.5. Strategy Overview

                19.1.4.5.1. Marketing Strategy

        19.1.5. Fortinet

            19.1.5.1. Overview

            19.1.5.2. Product Portfolio

            19.1.5.3. Profitability by Market Segments

            19.1.5.4. Sales Footprint

            19.1.5.5. Strategy Overview

                19.1.5.5.1. Marketing Strategy

        19.1.6. Vmware Inc.

            19.1.6.1. Overview

            19.1.6.2. Product Portfolio

            19.1.6.3. Profitability by Market Segments

            19.1.6.4. Sales Footprint

            19.1.6.5. Strategy Overview

                19.1.6.5.1. Marketing Strategy

        19.1.7. Broadcom

            19.1.7.1. Overview

            19.1.7.2. Product Portfolio

            19.1.7.3. Profitability by Market Segments

            19.1.7.4. Sales Footprint

            19.1.7.5. Strategy Overview

                19.1.7.5.1. Marketing Strategy

        19.1.8. FatPipe Networks Inc.

            19.1.8.1. Overview

            19.1.8.2. Product Portfolio

            19.1.8.3. Profitability by Market Segments

            19.1.8.4. Sales Footprint

            19.1.8.5. Strategy Overview

                19.1.8.5.1. Marketing Strategy

        19.1.9. Versa Networks Inc

            19.1.9.1. Overview

            19.1.9.2. Product Portfolio

            19.1.9.3. Profitability by Market Segments

            19.1.9.4. Sales Footprint

            19.1.9.5. Strategy Overview

                19.1.9.5.1. Marketing Strategy

        19.1.10. Exinda

            19.1.10.1. Overview

            19.1.10.2. Product Portfolio

            19.1.10.3. Profitability by Market Segments

            19.1.10.4. Sales Footprint

            19.1.10.5. Strategy Overview

                19.1.10.5.1. Marketing Strategy

        19.1.11. Blue Coat System

            19.1.11.1. Overview

            19.1.11.2. Product Portfolio

            19.1.11.3. Profitability by Market Segments

            19.1.11.4. Sales Footprint

            19.1.11.5. Strategy Overview

                19.1.11.5.1. Marketing Strategy

        19.1.12. Infovista Corporation

            19.1.12.1. Overview

            19.1.12.2. Product Portfolio

            19.1.12.3. Profitability by Market Segments

            19.1.12.4. Sales Footprint

            19.1.12.5. Strategy Overview

                19.1.12.5.1. Marketing Strategy

        19.1.13. NTT Communications

            19.1.13.1. Overview

            19.1.13.2. Product Portfolio

            19.1.13.3. Profitability by Market Segments

            19.1.13.4. Sales Footprint

            19.1.13.5. Strategy Overview

                19.1.13.5.1. Marketing Strategy

        19.1.14. Aryaka Networks Inc.

            19.1.14.1. Overview

            19.1.14.2. Product Portfolio

            19.1.14.3. Profitability by Market Segments

            19.1.14.4. Sales Footprint

            19.1.14.5. Strategy Overview

                19.1.14.5.1. Marketing Strategy

20. Assumptions & Acronyms Used

21. Research Methodology

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