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 Telecom companies and organizations are also modernizing their outdated fiber network.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.
Principal Consultant
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
