[297 Pages Report] The global network fault monitoring tools market size is expected to reach a valuation of US$ 2,157.34 Million in 2022. The increased demand for cloud services, as well as the rising demand for resilient network fault monitoring systems to quickly settle downtime issues, as well as the necessity for continuous monitoring because of greater network complexities and security concerns, is the market's primary growth drivers. The market for network fault monitoring tools is projected to grow at a robust CAGR of 5.5% between 2022 and 2032, totaling around US$ 3,673.0 Million by the end of 2032.
| Data Points | Key Statistics |
|---|---|
| Network Fault Monitoring Tools Market Size (2022) | US$ 2,157.34 Million |
| Network Fault Monitoring Tools Market Revenue Forecast (2032) | US$ 3,673.0 Million |
| Network Fault Monitoring Tools Market Growth Rate (2022 to 2032) | 5.5% CAGR |
| North America Market Share | 37% |
Network fault maximizing tools demonstrate network implies slowdown or interruptions which impede the enterprises’ capacity to operate. Enterprises frequently have difficulty able to diagnose the causes of disruptions and slowdowns, which is why they are transforming to network fault monitoring tools to enhance their effectiveness. Network fault monitoring tools help industries by aiding with more complex services and technologies such as network visibility, performance issue detection, and others.
Network fault monitoring tool vendors are continually evolving their solutions, such as supporting software-defined environments, cloud monitoring solutions, and more hybrid deployment models. Through network instrumentation, network fault surveillance tools enable IT operations to recognize the achievement of application, infrastructure, and network components.
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There has recently been an increase in the supply of network services among the community, who expect superior services. The increasing relevance of minimizing the negative effects of faults, the increasing reliance on software-based security solutions that address various compliance and efficient policies, and the surge of interest in paperless administrative operations across multiple organizations are the major factors driving the profitability growth of the global network fault monitoring tools market.
The life of hardware where network outage monitoring tools are implemented is shortened due to the large amount of strain caused by network and disc I/O activities. Because of the aforementioned factors, it is complicated to choose the ideal network fault monitoring tool, which has a negative influence on the global network fault monitoring tool market.
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The Asia Pacific is predicted to be the fastest-growing network fault monitoring tools sector in terms of revenue, due to increased security protocols and efficiency across numerous industries including manufacturing, hospitality, information technology, and education.
The region has a large consumer base for managed network services due to its high inhabitants, growing economies, and increasing use of mobile and internet. With the escalating use of smart devices and the internet, it has become essential for the general public to have access to dependable and secure connections. This is what propels market growth in this region.
During the assessment period, the North American network services market is expected to expand at a rapid pace. North America is expected to continue at its current growth rate during the forecast period. Furthermore, North America is expected to dominate the regional market for network security software solutions, with a CAGR of 5%. As a result, these factors are expected to drive the demand for network fault monitoring tools in North America in the decades ahead.
Furthermore, the high rate of adoption among enterprises based in this region, as well as the presence of many large players with research and innovation centers in this region, are driving market expansion in North America. North America is accounting for a market share of 37% of the global network fault monitoring tools market.
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Germany is expected to dominate regional market growth. Enhanced cloud computing technologies compel the expansion of the European market for managed network services. Due to the rapid rate of deployment among enterprises premised in this region and many big players having their research and advancement centers in this region, Europe has the largest market share for network fault monitoring tools.
Furthermore, the increasing dependence on software-based security solutions in a wide range of countries, including France, is driving up market demand for network fault monitoring tools in Europe. Europe holds 22.3% of the global network fault monitoring tools market.
Small enterprises, despite their size, play a significant role in the economy. They outnumber large corporations, employ a large number of people, and are generally entrepreneurial in nature, aiding in the shaping of innovation.
Over the forecast period, demand for small and medium-sized enterprise segments is expected to witness significant demand.
Manufacturers are adopting various marketing strategies such as new product launches, geographical expansion, mergers and acquisitions, partnerships, and collaboration to identify the interest of potential buyers and create a larger customer base. For instance,
Some of the leading Network Fault Monitoring Tools manufacturers include AppNeta, Viavi Solutions Inc., Cisco Systems, Inc., NetScout, ExtraHop Networks, Riverbed Technology, SevOne, LiveAction, HP Enterprises, SolarWinds Worldwide, LLC., and CA Technologies.
These key network fault monitoring tool providers are adopting various strategies such as new product launches and approvals, partnerships, collaborations, acquisitions, mergers, etc. to increase their sales and gain a competitive edge in the global network fault monitoring tools market. For instance,
ExtraHop Reveal(x) 360 provides fully SaaS-based network monitoring, while Reveal(x) Enterprise provides self-managed NDR. In July 2021, ExtraHop Reveal(x) was released by ExtraHop Networks.
| Report Attribute | Details |
|---|---|
| Growth Rate | CAGR of 5.5% from 2022 to 2032 |
| Market Value in 2022 | US$ 2,157.34 Million |
| Market Value in 2032 | US$ 3,673.0 Million |
| Base Year for Estimates | 2021 |
| Historical Data | 2016 to 2021 |
| Forecast Period | 2022 to 2032 |
| Quantitative Units | Revenue in US$ Million and CAGR from 2022 to 2032 |
| Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis |
| Segments Covered |
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| Regions Covered |
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| Key Countries Profiled |
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| Key Companies Profiled |
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| Report Customization & Pricing | Available upon Request |
The global network fault monitoring tools market reached US$ 2,157.34 Million in 2022
As per FMI, the network fault monitoring tools industry is expected to grow at a CAGR of 5.5% from 2022 to 2032
The global sales of network fault monitoring tools are anticipated to total a valuation of US$ 3,673.0 Million by 2032
North America will continue to remain the most lucrative market for Network Fault Monitoring Toolss, accounting for a share of 37%
1. Executive Summary | Network Fault Monitoring Tools 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 2016 to 2021 and Forecast, 2022 to 2032 4.1. Historical Market Size Value (US$ million) Analysis, 2016 to 2021 4.2. Current and Future Market Size Value (US$ million) Projections, 2022 to 2032 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2016 to 2021 and Forecast 2022 to 2032, By Deployment Type 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ million) Analysis By Deployment Type, 2016 to 2021 5.3. Current and Future Market Size Value (US$ million) Analysis and Forecast By Deployment Type, 2022 to 2032 5.3.1. On-premise 5.3.2. Hosted 5.4. Y-o-Y Growth Trend Analysis By Deployment Type, 2016 to 2021 5.5. Absolute $ Opportunity Analysis By Deployment Type, 2022 to 2032 6. Global Market Analysis 2016 to 2021 and Forecast 2022 to 2032, By Size of Enterprise 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ million) Analysis By Size of enterprise, 2016 to 2021 6.3. Current and Future Market Size Value (US$ million) Analysis and Forecast By Size of enterprise, 2022 to 2032 6.3.1. Small enterprise 6.3.2. Medium enterprise 6.3.3. Large enterprise 6.4. Y-o-Y Growth Trend Analysis By Size of enterprise, 2016 to 2021 6.5. Absolute $ Opportunity Analysis By Size of enterprise, 2022 to 2032 7. Global Market Analysis 2016 to 2021 and Forecast 2022 to 2032, By Region 7.1. Introduction 7.2. Historical Market Size Value (US$ million) Analysis By Region, 2016 to 2021 7.3. Current Market Size Value (US$ million) Analysis and Forecast By Region, 2022 to 2032 7.3.1. North America 7.3.2. Latin America 7.3.3. Europe 7.3.4. Asia Pacific 7.3.5. MEA 7.4. Market Attractiveness Analysis By Region 8. North America Market Analysis 2016 to 2021 and Forecast 2022 to 2032, By Country 8.1. Historical Market Size Value (US$ million) Trend Analysis By Market Taxonomy, 2016 to 2021 8.2. Market Size Value (US$ million) Forecast By Market Taxonomy, 2022 to 2032 8.2.1. By Country 8.2.1.1. The USA 8.2.1.2. Canada 8.2.2. By Deployment Type 8.2.3. By Size of enterprise 8.3. Market Attractiveness Analysis 8.3.1. By Country 8.3.2. By Deployment Type 8.3.3. By Size of enterprise 8.4. Key Takeaways 9. Latin America Market Analysis 2016 to 2021 and Forecast 2022 to 2032, By Country 9.1. Historical Market Size Value (US$ million) Trend Analysis By Market Taxonomy, 2016 to 2021 9.2. Market Size Value (US$ million) Forecast By Market Taxonomy, 2022 to 2032 9.2.1. By Country 9.2.1.1. Brazil 9.2.1.2. Mexico 9.2.1.3. Rest of Latin America 9.2.2. By Deployment Type 9.2.3. By Size of enterprise 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Deployment Type 9.3.3. By Size of enterprise 9.4. Key Takeaways 10. Europe Market Analysis 2016 to 2021 and Forecast 2022 to 2032, By Country 10.1. Historical Market Size Value (US$ million) Trend Analysis By Market Taxonomy, 2016 to 2021 10.2. Market Size Value (US$ million) Forecast By Market Taxonomy, 2022 to 2032 10.2.1. By Country 10.2.1.1. Germany 10.2.1.2. The United Kingdom 10.2.1.3. France 10.2.1.4. Spain 10.2.1.5. Italy 10.2.1.6. Rest of Europe 10.2.2. By Deployment Type 10.2.3. By Size of enterprise 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Deployment Type 10.3.3. By Size of enterprise 10.4. Key Takeaways 11. Asia Pacific Market Analysis 2016 to 2021 and Forecast 2022 to 2032, By Country 11.1. Historical Market Size Value (US$ million) Trend Analysis By Market Taxonomy, 2016 to 2021 11.2. Market Size Value (US$ million) Forecast By Market Taxonomy, 2022 to 2032 11.2.1. By Country 11.2.1.1. China 11.2.1.2. Japan 11.2.1.3. South Korea 11.2.1.4. Malaysia 11.2.1.5. Singapore 11.2.1.6. Australia 11.2.1.7. Rest of Asia Pacific 11.2.2. By Deployment Type 11.2.3. By Size of enterprise 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Deployment Type 11.3.3. By Size of enterprise 11.4. Key Takeaways 12. MEA Market Analysis 2016 to 2021 and Forecast 2022 to 2032, By Country 12.1. Historical Market Size Value (US$ million) Trend Analysis By Market Taxonomy, 2016 to 2021 12.2. Market Size Value (US$ million) Forecast By Market Taxonomy, 2022 to 2032 12.2.1. By Country 12.2.1.1. GCC Countries 12.2.1.2. South Africa 12.2.1.3. Israel 12.2.1.4. Rest of MEA 12.2.2. By Deployment Type 12.2.3. By Size of enterprise 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Deployment Type 12.3.3. By Size of enterprise 12.4. Key Takeaways 13. Key Countries Market Analysis 13.1. The United Kingdom 13.1.1. Pricing Analysis 13.1.2. Market Share Analysis, 2021 13.1.2.1. By Deployment Type 13.1.2.2. By Size of enterprise 13.2. Canada 13.2.1. Pricing Analysis 13.2.2. Market Share Analysis, 2021 13.2.2.1. By Deployment Type 13.2.2.2. By Size of enterprise 13.3. Brazil 13.3.1. Pricing Analysis 13.3.2. Market Share Analysis, 2021 13.3.2.1. By Deployment Type 13.3.2.2. By Size of enterprise 13.4. Mexico 13.4.1. Pricing Analysis 13.4.2. Market Share Analysis, 2021 13.4.2.1. By Deployment Type 13.4.2.2. By Size of enterprise 13.5. Rest of Latin America 13.5.1. Pricing Analysis 13.5.2. Market Share Analysis, 2021 13.5.2.1. By Deployment Type 13.5.2.2. By Size of enterprise 13.6. Germany 13.6.1. Pricing Analysis 13.6.2. Market Share Analysis, 2021 13.6.2.1. By Deployment Type 13.6.2.2. By Size of enterprise 13.7. The United Kingdom 13.7.1. Pricing Analysis 13.7.2. Market Share Analysis, 2021 13.7.2.1. By Deployment Type 13.7.2.2. By Size of enterprise 13.8. France 13.8.1. Pricing Analysis 13.8.2. Market Share Analysis, 2021 13.8.2.1. By Deployment Type 13.8.2.2. By Size of enterprise 13.9. Spain 13.9.1. Pricing Analysis 13.9.2. Market Share Analysis, 2021 13.9.2.1. By Deployment Type 13.9.2.2. By Size of enterprise 13.10. Italy 13.10.1. Pricing Analysis 13.10.2. Market Share Analysis, 2021 13.10.2.1. By Deployment Type 13.10.2.2. By Size of enterprise 13.11. Rest of Europe 13.11.1. Pricing Analysis 13.11.2. Market Share Analysis, 2021 13.11.2.1. By Deployment Type 13.11.2.2. By Size of enterprise 13.12. China 13.12.1. Pricing Analysis 13.12.2. Market Share Analysis, 2021 13.12.2.1. By Deployment Type 13.12.2.2. By Size of enterprise 13.13. Japan 13.13.1. Pricing Analysis 13.13.2. Market Share Analysis, 2021 13.13.2.1. By Deployment Type 13.13.2.2. By Size of enterprise 13.14. South Korea 13.14.1. Pricing Analysis 13.14.2. Market Share Analysis, 2021 13.14.2.1. By Deployment Type 13.14.2.2. By Size of enterprise 13.15. Malaysia 13.15.1. Pricing Analysis 13.15.2. Market Share Analysis, 2021 13.15.2.1. By Deployment Type 13.15.2.2. By Size of enterprise 13.16. Singapore 13.16.1. Pricing Analysis 13.16.2. Market Share Analysis, 2021 13.16.2.1. By Deployment Type 13.16.2.2. By Size of enterprise 13.17. Australia 13.17.1. Pricing Analysis 13.17.2. Market Share Analysis, 2021 13.17.2.1. By Deployment Type 13.17.2.2. By Size of enterprise 13.18. Rest of Asia Pacific 13.18.1. Pricing Analysis 13.18.2. Market Share Analysis, 2021 13.18.2.1. By Deployment Type 13.18.2.2. By Size of enterprise 13.19. GCC Countries 13.19.1. Pricing Analysis 13.19.2. Market Share Analysis, 2021 13.19.2.1. By Deployment Type 13.19.2.2. By Size of enterprise 13.20. South Africa 13.20.1. Pricing Analysis 13.20.2. Market Share Analysis, 2021 13.20.2.1. By Deployment Type 13.20.2.2. By Size of enterprise 13.21. Israel 13.21.1. Pricing Analysis 13.21.2. Market Share Analysis, 2021 13.21.2.1. By Deployment Type 13.21.2.2. By Size of enterprise 13.22. Rest of MEA 13.22.1. Pricing Analysis 13.22.2. Market Share Analysis, 2021 13.22.2.1. By Deployment Type 13.22.2.2. By Size of enterprise 14. Market Structure Analysis 14.1. Competition Dashboard 14.2. Competition Benchmarking 14.3. Market Share Analysis of Top Players 14.3.1. By Regional 14.3.2. By Deployment Type 14.3.3. By Size of enterprise 15. Competition Analysis 15.1. Competition Deep Dive 15.1.1. AppNeta 15.1.1.1. Overview 15.1.1.2. Product Portfolio 15.1.1.3. Profitability by Market Segments 15.1.1.4. Sales Footprint 15.1.1.5. Strategy Overview 15.1.1.5.1. Marketing Strategy 15.1.2. Viavi Solutions Inc 15.1.2.1. Overview 15.1.2.2. Product Portfolio 15.1.2.3. Profitability by Market Segments 15.1.2.4. Sales Footprint 15.1.2.5. Strategy Overview 15.1.2.5.1. Marketing Strategy 15.1.3. Cisco Systems, Inc. 15.1.3.1. Overview 15.1.3.2. Product Portfolio 15.1.3.3. Profitability by Market Segments 15.1.3.4. Sales Footprint 15.1.3.5. Strategy Overview 15.1.3.5.1. Marketing Strategy 15.1.4. NetScout 15.1.4.1. Overview 15.1.4.2. Product Portfolio 15.1.4.3. Profitability by Market Segments 15.1.4.4. Sales Footprint 15.1.4.5. Strategy Overview 15.1.4.5.1. Marketing Strategy 15.1.5. ExtraHop Networks 15.1.5.1. Overview 15.1.5.2. Product Portfolio 15.1.5.3. Profitability by Market Segments 15.1.5.4. Sales Footprint 15.1.5.5. Strategy Overview 15.1.5.5.1. Marketing Strategy 15.1.6. Riverbed Technology 15.1.6.1. Overview 15.1.6.2. Product Portfolio 15.1.6.3. Profitability by Market Segments 15.1.6.4. Sales Footprint 15.1.6.5. Strategy Overview 15.1.6.5.1. Marketing Strategy 15.1.7. SevOne 15.1.7.1. Overview 15.1.7.2. Product Portfolio 15.1.7.3. Profitability by Market Segments 15.1.7.4. Sales Footprint 15.1.7.5. Strategy Overview 15.1.7.5.1. Marketing Strategy 15.1.8. LiveAction 15.1.8.1. Overview 15.1.8.2. Product Portfolio 15.1.8.3. Profitability by Market Segments 15.1.8.4. Sales Footprint 15.1.8.5. Strategy Overview 15.1.8.5.1. Marketing Strategy 15.1.9. HP Enterprises 15.1.9.1. Overview 15.1.9.2. Product Portfolio 15.1.9.3. Profitability by Market Segments 15.1.9.4. Sales Footprint 15.1.9.5. Strategy Overview 15.1.9.5.1. Marketing Strategy 15.1.10. SolarWinds Worldwide 15.1.10.1. Overview 15.1.10.2. Product Portfolio 15.1.10.3. Profitability by Market Segments 15.1.10.4. Sales Footprint 15.1.10.5. Strategy Overview 15.1.10.5.1. Marketing Strategy 15.1.11. CA Technologies 15.1.11.1. Overview 15.1.11.2. Product Portfolio 15.1.11.3. Profitability by Market Segments 15.1.11.4. Sales Footprint 15.1.11.5. Strategy Overview 15.1.11.5.1. Marketing Strategy 16. Assumptions & Acronyms Used 17. Research Methodology
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Network Fault Monitoring Tools Market
