GITNUX MARKETDATA REPORT 2024

Must-Know Network Analysis Statistics [Latest Report]

Highlights: The Most Important Network Analysis Statistics

  • 77% of companies allow employees to use their personal devices for work purposes, increasing the need for network analysis.
  • The global network analytics market size was $1.4 billion in 2019 and is estimated to reach $3.1 billion by 2023.
  • Social network analysis reveals that 83% of marketers use Facebook, making it the most widely used social network platform for marketing purposes.
  • By 2023, the network traffic analysis solutions market is expected to grow at a CAGR of 13.7%.
  • Network analysis from Gartner indicates that 80% of new network devices will be wireless by 2022.
  • The percentage of users accessing the internet via IPv6 has increased from 1% in 2012 to over 30% in 2020, a trend that impacts network analysis.
  • Between 2018 and 2023, the global network traffic analyzer market is expected to grow at a CAGR of 16.1%.
  • By 2027, the global network forensics market, including network analysis technologies, is expected to reach $4.12 billion.
  • In 2019, the network function virtualization (NFV) market was valued at $19.3 billion, with network analysis tools playing a major role.
  • The average number of applications (web, mobile, and desktop) using network protocols in a medium-to-large organization is around 765.
  • 70% of cybersecurity professionals believe network security incidents could have been prevented if they had better data visibility.
  • Network downtime can cost businesses an average of $5,600 per minute or over $300,000 per hour.
  • Network latency is responsible for a 3.5% productivity loss, resulting in companies needing effective network analysis tools.
  • Network analysis studies show that 64% of organizations use cloud-based tools in their network security infrastructure.
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Network security is an increasingly important issue for businesses of all sizes. As more companies allow employees to use their personal devices for work purposes, the need for network analysis has grown significantly. Network analytics can help organizations identify potential threats and respond quickly in order to protect their networks from malicious actors.

Recent statistics show that 71.5% of organizations are using network analysis techniques to detect possible security issues, while 87% have implemented a network security tool including software specifically designed for this purpose. Additionally, 83% of marketers rely on Facebook as the most widely used social networking platform when it comes to marketing activities; LinkedIn follows with 675 million users worldwide distributed across North America (21%), Europe (37%) and Asia-Pacific region (41%).

The global market size related to network analytics was estimated at $1.4 billion in 2019 but is expected reach $3.1 billion by 2023 due mainly to increased demand from enterprises looking into solutions such as cloud-based tools or traffic analyzers which will grow at a CAGR rate of 13%.7 over the next few years according Gartner’s predictions . Furthermore, 80 percent new devices connected via IPv6 protocols will be wireless by 2022 and 75 billions IoT gadgets generating massive amounts data should be online by 2025 driving further growth within this sector..

Overall these figures demonstrate how essential effective monitoring systems are becoming not only because they provide visibility into what’s happening inside corporate networks but also because downtime costs average around 5600$ per minute or 300000$ per hour making them invaluable investments towards any organization’s future success

The Most Important Statistics
77% of companies allow employees to use their personal devices for work purposes, increasing the need for network analysis.

This statistic is a clear indication of the growing trend of companies allowing their employees to use their personal devices for work purposes, thus highlighting the importance of network analysis. As more and more companies are embracing this practice, it is essential to have a comprehensive network analysis in place to ensure the security of the company’s data and networks.

The global network analytics market size was $1.4 billion in 2019 and is estimated to reach $3.1 billion by 2023.

This statistic is a testament to the growing importance of network analysis in today’s world. It shows that the market for network analytics is rapidly expanding, indicating that more and more businesses are recognizing the value of this technology and investing in it. This is a clear indication that network analysis is becoming an increasingly important tool for businesses to gain insights into their operations and make better decisions. As such, this statistic is highly relevant to a blog post about network analysis statistics.

Network Analysis Statistics Overview

Social network analysis reveals that 83% of marketers use Facebook, making it the most widely used social network platform for marketing purposes.

This statistic is a powerful indicator of the importance of Facebook in the marketing world. It shows that the majority of marketers recognize the potential of the platform and are taking advantage of it to reach their target audiences. This statistic is especially relevant in the context of network analysis statistics, as it demonstrates the effectiveness of Facebook in connecting marketers with their customers.

By 2023, the network traffic analysis solutions market is expected to grow at a CAGR of 13.7%.

This statistic is a clear indication of the increasing demand for network traffic analysis solutions in the coming years. It shows that businesses are recognizing the importance of such solutions and are investing in them to ensure their networks are secure and efficient. This is an important factor to consider when discussing network analysis statistics, as it highlights the need for businesses to stay ahead of the curve and invest in the latest technologies.

Network analysis from Gartner indicates that 80% of new network devices will be wireless by 2022.

This statistic is a clear indication that the future of networking is wireless. As more and more devices become connected, the need for wireless networks is becoming increasingly important. This statistic highlights the importance of wireless networks and the need to invest in them in order to keep up with the ever-evolving technology landscape. It also serves as a reminder that wireless networks are the way of the future and should be taken into consideration when planning for the future of networking.

The percentage of users accessing the internet via IPv6 has increased from 1% in 2012 to over 30% in 2020, a trend that impacts network analysis.

This statistic is a clear indication of the growing importance of network analysis in the modern world. As the percentage of users accessing the internet via IPv6 has increased significantly over the past eight years, it is clear that network analysis is becoming increasingly important in order to ensure that networks are secure and efficient. Network analysis can help identify potential security threats, optimize network performance, and ensure that networks are running smoothly. As such, this statistic is a testament to the importance of network analysis and its impact on the modern world.

Between 2018 and 2023, the global network traffic analyzer market is expected to grow at a CAGR of 16.1%.

This statistic is a clear indication of the increasing importance of network traffic analysis in the coming years. It shows that businesses are recognizing the value of network analysis and are investing in the technology to ensure their networks are secure and efficient. This is an important trend for businesses to be aware of, as it can help them stay ahead of the competition and ensure their networks are running smoothly.

By 2027, the global network forensics market, including network analysis technologies, is expected to reach $4.12 billion.

This statistic is a clear indication of the growing importance of network analysis technologies in the global market. It shows that businesses are increasingly recognizing the value of these technologies and investing in them to ensure their networks are secure and efficient. This is an important trend that should not be overlooked, as it could have a significant impact on the future of network security and performance.

In 2019, the network function virtualization (NFV) market was valued at $19.3 billion, with network analysis tools playing a major role.

This statistic is a testament to the importance of network analysis tools in the modern world. It shows that the NFV market is heavily reliant on these tools, and that they are a major factor in the success of the industry. This highlights the need for businesses to invest in network analysis tools in order to stay competitive and remain successful. It also shows that network analysis is an important part of the modern IT landscape, and that it is essential for businesses to understand and utilize these tools in order to remain competitive.

With the rise in IoT devices, by 2025, 75.44 billion connected devices will be generating a massive amount of network data, driving network analysis industry growth.

This statistic is a powerful indicator of the potential of the network analysis industry. It highlights the sheer volume of data that will be generated by connected devices in the near future, and the opportunities this presents for businesses to leverage this data to gain insights and make informed decisions. As such, it is an important statistic to consider when discussing the growth of the network analysis industry.

The average number of applications (web, mobile, and desktop) using network protocols in a medium-to-large organization is around 765.

This statistic is a valuable insight into the complexity of network protocols in a medium-to-large organization. It highlights the need for organizations to have a comprehensive understanding of their network protocols in order to ensure that their applications are running smoothly and securely. This statistic is also important for network analysis, as it provides a baseline for the number of applications that need to be monitored and analyzed in order to ensure that the network is functioning properly.

70% of cybersecurity professionals believe network security incidents could have been prevented if they had better data visibility.

This statistic is a powerful reminder of the importance of data visibility in preventing network security incidents. It highlights the need for organizations to invest in solutions that provide comprehensive visibility into their networks, allowing them to identify and address potential threats before they become a problem. By having better data visibility, organizations can proactively protect their networks and reduce the risk of costly security incidents.

Network downtime can cost businesses an average of $5,600 per minute or over $300,000 per hour.

This statistic serves as a stark reminder of the financial implications of network downtime. It highlights the importance of having a reliable network infrastructure in place, as the cost of a single minute of downtime can be astronomical. This is especially pertinent in the context of a blog post about Network Analysis Statistics, as it emphasizes the need for businesses to invest in the right tools and strategies to ensure their networks are running smoothly and efficiently.

Network latency is responsible for a 3.5% productivity loss, resulting in companies needing effective network analysis tools.

This statistic is a stark reminder of the importance of network analysis tools in the modern business world. With 3.5% of productivity lost due to network latency, it is clear that companies need to invest in effective network analysis tools to ensure that their networks are running optimally and efficiently. Without these tools, businesses risk losing out on valuable time and resources.

Network analysis studies show that 64% of organizations use cloud-based tools in their network security infrastructure.

This statistic is a telling indication of the importance of cloud-based tools in network security infrastructure. It shows that the majority of organizations recognize the value of these tools and are investing in them to protect their networks. This highlights the need for organizations to stay up-to-date with the latest security technologies and to ensure that their networks are secure.

Conclusion

Network analysis is an increasingly important tool for businesses of all sizes. With the rise in personal devices used for work purposes, network security threats are on the rise and organizations need to be prepared with effective tools and strategies. The global market size for network analytics was $1.4 billion in 2019 and is estimated to reach $3.1 billion by 2023, while 71.5% of organizations use network analysis techniques to identify potential security threats today. Network traffic analyzer solutions have a CAGR of 13.7%, while 87% of companies use some form of network security software including those that provide advanced analytics capabilities such as social media monitoring or cloud-based applications tracking services . As more users access the internet via IPv6 protocols, 80% new networks will become wireless by 2022 according to Gartner’s research findings; this trend has already seen 64% adoption rate among enterprises using cloud-based tools within their infrastructure which can help reduce latency issues resulting from poor visibility into data flows across multiple systems leading up 3..5 % productivity loss annually due downtime costs reaching over 300K per hour if not addressed properly In conclusion , it’s clear that investing in comprehensive yet cost-effective solutions like Network Analysis Software can go a long way towards protecting your business against cyberattacks and ensuring optimal performance levels at all times

References

0. – https://www.www.marketsandmarkets.com

1. – https://www.www.gartner.com

2. – https://www.www.globenewswire.com

3. – https://www.www.handsontek.net

4. – https://www.buffer.com

5. – https://www.www.fortunebusinessinsights.com

6. – https://www.www.statista.com

7. – https://www.www.grandviewresearch.com

8. – https://www.www.businesswire.com

9. – https://www.www.ntop.org

10. – https://www.www.reportlinker.com

11. – https://www.www.google.com

12. – https://www.resources.infosecinstitute.com

13. – https://www.www.tripwire.com

ZipDo, cited June 2023: Network Analysis Statistics

FAQs

What is Network Analysis in the context of statistics and data analysis?

Network Analysis is a collection of methods used to examine the structure, patterns, and relationships within a complex system of connected entities, often represented as nodes and links or edges.

What are the primary components of a network, and how are they represented?

The primary components of a network are nodes and links (or edges). Nodes represent individual entities, such as people or organizations, while links represent the relationships or connections between the nodes.

What are some common metrics used to analyze networks?

Some common metrics used to analyze networks include centrality measures, such as degree centrality, betweenness centrality, and closeness centrality; clustering coefficients, which measure the tendency of nodes to form tightly knit groups; and path-length-based measures, such as average path length and diameter, which reflect the overall connectivity of a network.

How do centrality measures help in understanding the importance of individual nodes in a network?

Centrality measures help to identify the most important, influential, or central nodes in a network. They quantify aspects, such as the number of direct connections a node has (degree centrality), how often a node serves as a bridge along the shortest path between other nodes (betweenness centrality), or how quickly a node can reach all other nodes in the network (closeness centrality).

What is the importance of community detection in Network Analysis?

Community detection is crucial in network analysis because it helps identify groups or clusters of nodes with a high degree of internal connectivity and relatively sparse connections to the rest of the network. Detecting communities can reveal underlying organizational or functional structures and provide insights into the behavior, dynamics, or characteristics of the network as a whole.

How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

See our Editorial Process.

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