Increased Investment in R&D to Pave the Way for New Innovations; Network Telemetry Market is Poised to Reflect 15.2% CAGR By 2032
During the projected period, the network telemetry market is expected to grow at a CAGR of 15.2 percent, rising from USD 368.7 million in 2022 to USD 1.5 billion in 2032.
The network telemetry market is expected to rise due to an increase in network attacks and security breaches, as well as a growing need to quickly resolve outage concerns.
Over the next five years, the need to manage massive amounts of network performance data, as well as emerging technologies like the Internet of Things (IoT), Artificial Intelligence (AI), and Software-defined Networking (SDN), are expected to provide network telemetry vendors with numerous market opportunities.
- In the component sector, the solution from the network telemetry market is anticipated to flourish at the quickest CAGR of 14.6% through 2032.
- With a CAGR of 15%, service providers are predicted to grow significantly in the end-user sector of the network telemetry market.
- United Kingdom is anticipated to reach a market size of US$ 70.9 Million in Network telemetry by 2032, with a CAGR of 14.3% during the forecast period.
- China’s Network telemetry market is anticipated to be worth US$ 87 Million by 2032, with a CAGR of 14.7% over the forecast period.
- Japan is expected to have a market size for Network telemetry of US$ 80.6 Million by 2032, with a CAGR of 14.2% during the forecast period.
- By 2032, South Korea is expected to reach a market size of US$ 52.9 Million in network telemetry, with a CAGR of 13.7% during the forecast period.
The network telemetry market is dominated by Cisco Systems (US), Juniper Networks (US), Arista Networks (US), Mellanox Technologies (US), Pluribus Networks (US), and Barefoot Networks (US), Solarflare Communications (US), and VOLANSYS Technologies.
In the network telemetry market, Cisco is a market leader. In-network telemetry, Cisco’s Approach-Driven Telemetry uses a push architecture to allow data to stream continuously, enabling real-time access to operational insights.
By modeling the data with YANG, Model-Driven Telemetry can ensure that a vast volume of data is truly accessible.