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 USD 1,150.9 million. With 6.2% projected growth from 2023 to 2033, the market is expected to reach a valuation of USD 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) | USD 1,150.9 million |
| Global WAN Optimization Market Size (2033) | USD 2,106.9 million |
| Global WAN Optimization Market CAGR (2023 to 2033) | 6.2% |
| United States WAN Optimization Market Size (2033) | USD 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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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.
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.
Principal Consultant
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.
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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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.
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.
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.
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.
As of 2023, the WAN optimization market holds a valuation of US$ 1,150.9 million.
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.
SD-WAN solutions, optimization in the cloud, and accelerators personalized for specific applications are flourishing niches in 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.
The WAN optimization market recorded a CAGR of 4.1% between 2018 and 2022.
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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WAN Optimization Market
