The global network automation market value is assessed to be US$ 4.4 billion for 2023. Based on the predictions, the overall valuation is poised to progress at a CAGR of 23% during the forecast period. Witnessing such an impressive growth rate, the net valuation is estimated to reach US$ 34.8 billion by 2033.
The demand for network automation is expanding with the growing need for big data analytics and deep learning techniques as this enables remote telecom equipment control. Telecom companies and organizations are also modernizing their outdated fiber network. To take advantage of cloud deployment services, network virtualization technologies, and sophisticated IT technology. BFSI service providers are also implementing network automation to eliminate mistakes and the complexity of growing network traffic.
Network automation helps to increase network uptime, prevents service-level agreement (SLA) breaches, and shortens the mean time to repair (MTTR). Such advantages drive communication service providers to engage in research and innovation. Moreover, providing affordable and efficient network automation solutions opens new attractive market prospects.
The demand for network automation fuels the cloud deployment mode's ability. To manage huge network traffic while enabling simple and reliable configuration. Unfortunately, the proliferation of cloud technology in this sector has decreased the level of customization of network automation solutions.
| Attributes | Details |
|---|---|
| Network Automation Market Share (2022) | US$ 3.6 billion |
| Network Automation Market Size Value (2023) | US$ 4.4 billion |
| Network Automation Market Size Value (2033) | US$ 34.8 billion |
| Network Automation Market Growth Rate (2023 to 2033) | 23% |
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Historically, the information and technology vertical segment has remained the dominant end user of network automation services. Traditionally, it has contributed to more than 50% of the global revenue generated by the market. However, the growing trend of digitization and automation in the finance, education, and entertainment industry is poised to limit its participation in market advancement.
According to different components of network automation, the solution segment held a commanding market share of nearly 70% in 2022. The use of network automation solutions to hasten the delivery of their apps by CSPs is responsible for its dominance. Based on the FMI analysis, this solution segment is anticipated to grow at an average rate of 21% from 2023 to 2033.
The services market segment is expected to have a higher growth rate of 25.5% during the next ten years. All services guarantee efficient network operations, which is essential for the success of network automation businesses in the long run. During the time frame, the training services sub-segment leads the market, followed by the deployment & integration services.
By contributing a revenue of more than 55% in 2022, the on-premises category leads the market based on deployment mode. Notable advantages of on-premises automation solutions provide a one-time licensing price, an annual service agreement, and customization based on business objectives. However, after the advent of cloud mode of network automation, this segment is estimated to register a CAGR of 21% through 2033.
The cloud deployment category is expected to develop at a year-on-year growth rate of 25% during the forecast years. The increased adoption of reliable cloud-based network automation solutions and services by SMEs is responsible for the segment's growth. The cloud network automation segment is highly affordable because there is no longer a requirement for internal equipment or complicated maintenance.
During the projection period, the hybrid network is expected to record a CAGR of 23.5%, making it a lucrative market segment. It enables the control and oversight of the entire network infrastructure through public and private clouds and data centers.
The virtual network automation market segment, on the other hand, is expected to witness a higher CAGR of 24% during the forecast period. This segment is growing fast as virtualization enables users to host a network architecture that seamlessly links their servers, devices, data centers, and computers.
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Until 2022, the United States held the top spot with a revenue contribution of 30% in the global market. The presence of leading players like Cisco Systems Inc. and IBM Corporation is regarded to have developed such a huge market.
Leading businesses are making significant investments in data center research and development. Besides, communications infrastructure could be the primary driver of further growth. In addition, a quick uptake of network automation services and solutions is ascribed to the rapid market growth.
Asia Pacific is predicted to expand at a noteworthy CAGR of 25.2% throughout the projection period. This rapid expansion is attributable to the rising start-up scene in emerging countries and the increased adoption of network automation solutions and services. Customers from China and India are widely dispersed, which opens up new geographical potential for new regional market players.
India is experiencing an increase in the presence of multinational corporations. This has led to a massive consumer base and several internet users. As per FMI, it may record a higher growth rate in adopting network automation and attractive business prospects over the forecast years.
The consolidation of the market and the strong presence of multiple competitors may create cutthroat competition in the market. Many network automation service providers are implementing several essential tactics and partnerships to claim a sizable market position. For example, VMware, Inc. and Vodafone Group announced in November 2021 to supply orchestration and automation services together. Now, the service is provided via a unified platform on their respective core networks throughout the European continent.
The regional markets for network automation are expanding due to rising communication bandwidth demand and the proliferation of wireless networks. In addition, players in this sector are launching cutting-edge algorithms and customized network automation solutions to satisfy end customers' needs.
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FastTrack Communications is a supplier of commercial communications services. It improves its fiber-optic infrastructure using Fujitsu Network Communications' modular 1FINITY optical networking technology. According to an announcement by the company in August 2021, Fujitsu is helping FastTrack to construct a disaggregated architecture based on the new 1FINITY platform. Reports further reveal that LightRiver's network agility, scalability, and capacity contribute to this project.
NetBrain network automation and Cisco ACI signed a partnership in May 2018. To improve end-to-end transparency and orchestration of application-centric networks. This solution improves processes for troubleshooting, protection, and process improvement inside and across hybrid cloud environments. Furthermore, it gives corporate information technology and telecommunication teams continuous visibility across different ACI and conventional systems.
Cisco Company bought Fluidmesh Networks in July 2020, a pioneer in robust wireless backhaul technologies. Cisco's expertise is expected to assist it in advancing its industrial loT business by allowing wireless deployments in industrial environments. It is projected to be developed with Fluidmesh's solution-based products and connections to systems integrators.
Juniper Networks revealed in January 2022 that their SSR technology could be completely deployed, set up, and run using the Mist cloud. Also, Juniper has improved its IDS or IPS and URL filtering features for the Juniper Session Smart Router (SSR) range. To further expand its strong security capabilities, it has simplified the setup process for SSR using new cloud-ready devices by Zero Touch Provisioning.
The emerging trends in the network automation market are primarily brought on by expanding demands for regional CAPEX reduction and improved internet infrastructure. Also, the room for the development of technology is creating new investment possibilities. This development includes improved network automation using big data, ML, and AI.
The market is valued at US$ 4.4 billion in 2023.
The market recorded a CAGR of 21% from 2017 to 2022. The global market size to reach US$ 123 by 2033.
The global market size is estimated to reach US$ 34.8 billion by 2033.
The United States is likely to register a 22% CAGR until 2033.
Growing demand from new commercial domains is likely to boost market growth.
1. Executive Summary | Network Automation Market 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 Components 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Components, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Components, 2023 to 2033 5.3.1. Solutions 5.3.1.1. Tools 5.3.1.2. Intent-based Networking 5.3.2. Services 5.3.2.1. Professional Services 5.3.2.2. Advisory and Consulting 5.3.2.3. Training and Support 5.3.2.4. Deployment and Integration 5.4. Y-o-Y Growth Trend Analysis By Components, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Components, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Network Type 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Network Type, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Network Type, 2023 to 2033 6.3.1. Physical Network 6.3.2. Virtual Network 6.3.3. Hybrid Network 6.4. Y-o-Y Growth Trend Analysis By Network Type, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Network Type, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Mode 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Deployment Mode, 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Mode, 2023 to 2033 7.3.1. On-premises 7.3.2. Cloud 7.4. Y-o-Y Growth Trend Analysis By Deployment Mode, 2018 to 2022 7.5. Absolute $ Opportunity Analysis By Deployment Mode, 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Organization Size 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Million) Analysis By Organization Size, 2018 to 2022 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Organization Size, 2023 to 2033 8.3.1. Small and Medium Sized Enterprises 8.3.2. Large Enterprises 8.4. Y-o-Y Growth Trend Analysis By Organization Size, 2018 to 2022 8.5. Absolute $ Opportunity Analysis By Organization Size, 2023 to 2033 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vertical 9.1. Introduction / Key Findings 9.2. Historical Market Size Value (US$ Million) Analysis By Vertical, 2018 to 2022 9.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vertical, 2023 to 2033 9.3.1. Information Technology 9.3.2. Banking, Financial Services, and Insurance 9.3.3. Manufacturing 9.3.4. Healthcare 9.3.5. Energy and Utilities 9.3.6. Education 9.3.7. Others 9.4. Y-o-Y Growth Trend Analysis By Vertical, 2018 to 2022 9.5. Absolute $ Opportunity Analysis By Vertical, 2023 to 2033 10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 10.1. Introduction 10.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 10.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 10.3.1. North America 10.3.2. Latin America 10.3.3. Europe 10.3.4. South Asia 10.3.5. East Asia 10.3.6. Oceania 10.3.7. MEA 10.4. Market Attractiveness Analysis By Region 11. North 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. USA 11.2.1.2. Canada 11.2.2. By Components 11.2.3. By Network Type 11.2.4. By Deployment Mode 11.2.5. By Organization Size 11.2.6. By Vertical 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Components 11.3.3. By Network Type 11.3.4. By Deployment Mode 11.3.5. By Organization Size 11.3.6. By Vertical 11.4. Key Takeaways 12. Latin America 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. Brazil 12.2.1.2. Mexico 12.2.1.3. Rest of Latin America 12.2.2. By Components 12.2.3. By Network Type 12.2.4. By Deployment Mode 12.2.5. By Organization Size 12.2.6. By Vertical 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Components 12.3.3. By Network Type 12.3.4. By Deployment Mode 12.3.5. By Organization Size 12.3.6. By Vertical 12.4. Key Takeaways 13. 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. Germany 13.2.1.2. United kingdom 13.2.1.3. France 13.2.1.4. Spain 13.2.1.5. Italy 13.2.1.6. Rest of Europe 13.2.2. By Components 13.2.3. By Network Type 13.2.4. By Deployment Mode 13.2.5. By Organization Size 13.2.6. By Vertical 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Components 13.3.3. By Network Type 13.3.4. By Deployment Mode 13.3.5. By Organization Size 13.3.6. By Vertical 13.4. Key Takeaways 14. South Asia 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. Malaysia 14.2.1.3. Singapore 14.2.1.4. Thailand 14.2.1.5. Rest of South Asia 14.2.2. By Components 14.2.3. By Network Type 14.2.4. By Deployment Mode 14.2.5. By Organization Size 14.2.6. By Vertical 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Components 14.3.3. By Network Type 14.3.4. By Deployment Mode 14.3.5. By Organization Size 14.3.6. 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 Components 15.2.3. By Network Type 15.2.4. By Deployment Mode 15.2.5. By Organization Size 15.2.6. By Vertical 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Components 15.3.3. By Network Type 15.3.4. By Deployment Mode 15.3.5. By Organization Size 15.3.6. By Vertical 15.4. Key Takeaways 16. Oceania 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. Australia 16.2.1.2. New Zealand 16.2.2. By Components 16.2.3. By Network Type 16.2.4. By Deployment Mode 16.2.5. By Organization Size 16.2.6. By Vertical 16.3. Market Attractiveness Analysis 16.3.1. By Country 16.3.2. By Components 16.3.3. By Network Type 16.3.4. By Deployment Mode 16.3.5. By Organization Size 16.3.6. By Vertical 16.4. Key Takeaways 17. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 17.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 17.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 17.2.1. By Country 17.2.1.1. GCC Countries 17.2.1.2. South Africa 17.2.1.3. Israel 17.2.1.4. Rest of MEA 17.2.2. By Components 17.2.3. By Network Type 17.2.4. By Deployment Mode 17.2.5. By Organization Size 17.2.6. By Vertical 17.3. Market Attractiveness Analysis 17.3.1. By Country 17.3.2. By Components 17.3.3. By Network Type 17.3.4. By Deployment Mode 17.3.5. By Organization Size 17.3.6. By Vertical 17.4. Key Takeaways 18. Key Countries Market Analysis 18.1. USA 18.1.1. Pricing Analysis 18.1.2. Market Share Analysis, 2022 18.1.2.1. By Components 18.1.2.2. By Network Type 18.1.2.3. By Deployment Mode 18.1.2.4. By Organization Size 18.1.2.5. By Vertical 18.2. Canada 18.2.1. Pricing Analysis 18.2.2. Market Share Analysis, 2022 18.2.2.1. By Components 18.2.2.2. By Network Type 18.2.2.3. By Deployment Mode 18.2.2.4. By Organization Size 18.2.2.5. By Vertical 18.3. Brazil 18.3.1. Pricing Analysis 18.3.2. Market Share Analysis, 2022 18.3.2.1. By Components 18.3.2.2. By Network Type 18.3.2.3. By Deployment Mode 18.3.2.4. By Organization Size 18.3.2.5. By Vertical 18.4. Mexico 18.4.1. Pricing Analysis 18.4.2. Market Share Analysis, 2022 18.4.2.1. By Components 18.4.2.2. By Network Type 18.4.2.3. By Deployment Mode 18.4.2.4. By Organization Size 18.4.2.5. By Vertical 18.5. Germany 18.5.1. Pricing Analysis 18.5.2. Market Share Analysis, 2022 18.5.2.1. By Components 18.5.2.2. By Network Type 18.5.2.3. By Deployment Mode 18.5.2.4. By Organization Size 18.5.2.5. By Vertical 18.6. United kingdom 18.6.1. Pricing Analysis 18.6.2. Market Share Analysis, 2022 18.6.2.1. By Components 18.6.2.2. By Network Type 18.6.2.3. By Deployment Mode 18.6.2.4. By Organization Size 18.6.2.5. By Vertical 18.7. France 18.7.1. Pricing Analysis 18.7.2. Market Share Analysis, 2022 18.7.2.1. By Components 18.7.2.2. By Network Type 18.7.2.3. By Deployment Mode 18.7.2.4. By Organization Size 18.7.2.5. By Vertical 18.8. Spain 18.8.1. Pricing Analysis 18.8.2. Market Share Analysis, 2022 18.8.2.1. By Components 18.8.2.2. By Network Type 18.8.2.3. By Deployment Mode 18.8.2.4. By Organization Size 18.8.2.5. By Vertical 18.9. Italy 18.9.1. Pricing Analysis 18.9.2. Market Share Analysis, 2022 18.9.2.1. By Components 18.9.2.2. By Network Type 18.9.2.3. By Deployment Mode 18.9.2.4. By Organization Size 18.9.2.5. By Vertical 18.10. India 18.10.1. Pricing Analysis 18.10.2. Market Share Analysis, 2022 18.10.2.1. By Components 18.10.2.2. By Network Type 18.10.2.3. By Deployment Mode 18.10.2.4. By Organization Size 18.10.2.5. By Vertical 18.11. Malaysia 18.11.1. Pricing Analysis 18.11.2. Market Share Analysis, 2022 18.11.2.1. By Components 18.11.2.2. By Network Type 18.11.2.3. By Deployment Mode 18.11.2.4. By Organization Size 18.11.2.5. By Vertical 18.12. Singapore 18.12.1. Pricing Analysis 18.12.2. Market Share Analysis, 2022 18.12.2.1. By Components 18.12.2.2. By Network Type 18.12.2.3. By Deployment Mode 18.12.2.4. By Organization Size 18.12.2.5. By Vertical 18.13. Thailand 18.13.1. Pricing Analysis 18.13.2. Market Share Analysis, 2022 18.13.2.1. By Components 18.13.2.2. By Network Type 18.13.2.3. By Deployment Mode 18.13.2.4. By Organization Size 18.13.2.5. By Vertical 18.14. China 18.14.1. Pricing Analysis 18.14.2. Market Share Analysis, 2022 18.14.2.1. By Components 18.14.2.2. By Network Type 18.14.2.3. By Deployment Mode 18.14.2.4. By Organization Size 18.14.2.5. By Vertical 18.15. Japan 18.15.1. Pricing Analysis 18.15.2. Market Share Analysis, 2022 18.15.2.1. By Components 18.15.2.2. By Network Type 18.15.2.3. By Deployment Mode 18.15.2.4. By Organization Size 18.15.2.5. By Vertical 18.16. South Korea 18.16.1. Pricing Analysis 18.16.2. Market Share Analysis, 2022 18.16.2.1. By Components 18.16.2.2. By Network Type 18.16.2.3. By Deployment Mode 18.16.2.4. By Organization Size 18.16.2.5. By Vertical 18.17. Australia 18.17.1. Pricing Analysis 18.17.2. Market Share Analysis, 2022 18.17.2.1. By Components 18.17.2.2. By Network Type 18.17.2.3. By Deployment Mode 18.17.2.4. By Organization Size 18.17.2.5. By Vertical 18.18. New Zealand 18.18.1. Pricing Analysis 18.18.2. Market Share Analysis, 2022 18.18.2.1. By Components 18.18.2.2. By Network Type 18.18.2.3. By Deployment Mode 18.18.2.4. By Organization Size 18.18.2.5. By Vertical 18.19. GCC Countries 18.19.1. Pricing Analysis 18.19.2. Market Share Analysis, 2022 18.19.2.1. By Components 18.19.2.2. By Network Type 18.19.2.3. By Deployment Mode 18.19.2.4. By Organization Size 18.19.2.5. By Vertical 18.20. South Africa 18.20.1. Pricing Analysis 18.20.2. Market Share Analysis, 2022 18.20.2.1. By Components 18.20.2.2. By Network Type 18.20.2.3. By Deployment Mode 18.20.2.4. By Organization Size 18.20.2.5. By Vertical 18.21. Israel 18.21.1. Pricing Analysis 18.21.2. Market Share Analysis, 2022 18.21.2.1. By Components 18.21.2.2. By Network Type 18.21.2.3. By Deployment Mode 18.21.2.4. By Organization Size 18.21.2.5. By Vertical 19. Market Structure Analysis 19.1. Competition Dashboard 19.2. Competition Benchmarking 19.3. Market Share Analysis of Top Players 19.3.1. By Regional 19.3.2. By Components 19.3.3. By Network Type 19.3.4. By Deployment Mode 19.3.5. By Organization Size 19.3.6. By Vertical 20. Competition Analysis 20.1. Competition Deep Dive 20.1.1. Cisco Systems Inc. 20.1.1.1. Overview 20.1.1.2. Product Portfolio 20.1.1.3. Profitability by Market Segments 20.1.1.4. Sales Footprint 20.1.1.5. Strategy Overview 20.1.1.5.1. Marketing Strategy 20.1.2. Juniper Networks Inc. 20.1.2.1. Overview 20.1.2.2. Product Portfolio 20.1.2.3. Profitability by Market Segments 20.1.2.4. Sales Footprint 20.1.2.5. Strategy Overview 20.1.2.5.1. Marketing Strategy 20.1.3. IBM Corporation 20.1.3.1. Overview 20.1.3.2. Product Portfolio 20.1.3.3. Profitability by Market Segments 20.1.3.4. Sales Footprint 20.1.3.5. Strategy Overview 20.1.3.5.1. Marketing Strategy 20.1.4. Hewlett Packard Enterprise Development 20.1.4.1. Overview 20.1.4.2. Product Portfolio 20.1.4.3. Profitability by Market Segments 20.1.4.4. Sales Footprint 20.1.4.5. Strategy Overview 20.1.4.5.1. Marketing Strategy 20.1.5. Fujitsu Limited 20.1.5.1. Overview 20.1.5.2. Product Portfolio 20.1.5.3. Profitability by Market Segments 20.1.5.4. Sales Footprint 20.1.5.5. Strategy Overview 20.1.5.5.1. Marketing Strategy 20.1.6. Red Hat, Inc. 20.1.6.1. Overview 20.1.6.2. Product Portfolio 20.1.6.3. Profitability by Market Segments 20.1.6.4. Sales Footprint 20.1.6.5. Strategy Overview 20.1.6.5.1. Marketing Strategy 20.1.7. BMC Software, Inc 20.1.7.1. Overview 20.1.7.2. Product Portfolio 20.1.7.3. Profitability by Market Segments 20.1.7.4. Sales Footprint 20.1.7.5. Strategy Overview 20.1.7.5.1. Marketing Strategy 20.1.8. Itential 20.1.8.1. Overview 20.1.8.2. Product Portfolio 20.1.8.3. Profitability by Market Segments 20.1.8.4. Sales Footprint 20.1.8.5. Strategy Overview 20.1.8.5.1. Marketing Strategy 20.1.9. NetYCE 20.1.9.1. Overview 20.1.9.2. Product Portfolio 20.1.9.3. Profitability by Market Segments 20.1.9.4. Sales Footprint 20.1.9.5. Strategy Overview 20.1.9.5.1. Marketing Strategy 20.1.10. Nokia Corporation 20.1.10.1. Overview 20.1.10.2. Product Portfolio 20.1.10.3. Profitability by Market Segments 20.1.10.4. Sales Footprint 20.1.10.5. Strategy Overview 20.1.10.5.1. Marketing Strategy 20.1.11. NVIDIA Corporation 20.1.11.1. Overview 20.1.11.2. Product Portfolio 20.1.11.3. Profitability by Market Segments 20.1.11.4. Sales Footprint 20.1.11.5. Strategy Overview 20.1.11.5.1. Marketing Strategy 21. Assumptions & Acronyms Used 22. Research Methodology
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Network Automation Market
