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 |
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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.
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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
