NETWORK ANALYZERS MARKET ANALYSIS

Network Analyzers MarketSize and Trends

The global network analyzers market size was valued at USD 480.2 million in 2021 and is anticipated to witness a compound annual growth rate (CAGR) of 4.8% from 2022 to 2030.  Increasing data consumption and adoption of LTE wireless networks have led to rapid growth of the global network analyzers market. This demand is expected to increase over the next six years. The market is also primarily driven by the increasing demand for the IoT use cases. Along with this this, the increasing demand for automation solutions is also projected to drive the market.

Increase in development of advanced analyzers due to changing needs in the production line is a major trend in the global network analyzers market. The need for testing multiport devices in lesser time with high accuracy and without reduction of the test station size is increasing, which in turn in leading to development of advanced analyzers. For instance, M937A Series PXIe VNAs is developed to test the complex silicon wafers, advanced radar systems, and wireless devices. The PXI vector network analyzers are full two-port VNAs that can fit in one slot and gives accurate measurements, high performance, and reduced testing cost, as it enables simultaneous characterization of several devices multi- or two-port with the use of only one PXI chassis.

Growing evolution of high-frequency devices is also a growing trend in the global network analyzers market, which is likely to boost the market growth during the forecast period. Due to basic ability of network analyzers to measure important properties of devices and circuits such as refection, transmission, and impedance, the high-frequency devices are increasingly advancing. With a new analyzers, engineers can optimize the performance of signal-separation, and filtering devices, frequency converters, and amplifiers among various others. Thus, the emergence of advanced high-frequency devices is growing, and this trend will continue in the market during the forecast period.