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Used for the development and manufacturing of products across industries, deployment of networks, and maintenance of services, electronic test and measurement (T&M) equipment are witnessing increasing demand due to the proliferation of electronics and emerging disruptive concepts such as 5G and autonomous driving. With the smart mobility concept and new cellular and Wi-Fi standards including 4.5G, 4.9G, 5G and 802.11ax, the demand for RF test equipment will be high, while that of digital test equipment will be fueled by new standards.Leveraging strong relationships with participants in the T&M market, in combination with desk research and market expertise accumulated over the past 20 years by tracking and monitoring this space, Frost & Sullivan has developed a detailed study of the electronic T&M market. This research service analyzes the market from various angles including product type, end user, and geography.Revenue forecasts are provided for the following segments:Segments: Semiconductor automatic test equipment (ATE), radio frequency (RF) test equipment, digital test equipment, electrical and environmental test, and data acquisition (DAQ)Products: Semiconductor ATE, one-box testers, spectrum and signal analyzers, signal generators, network analyzers, power meters, electronic counters, oscilloscopes, power analyzers, bit error rate testers (BERT), protocol analyzers, logic analyzers, digital multimeters, electrical testers, environmental testers, and DAQ equipmentEnd Users: Communications, Semiconductors and Computing, Aerospace & Defense, Consumer Electronics, Industrial & Automotive, Energy, Medical Devices, Education and OthersRegions: North America, Europe, Asia Pacific, and Latin America, Middle East and AfricaThis study also details the market shares of leading competitors, including Keysight Technologies, Teradyne, Advantest, Rohde & Schwarz, Tektronix, National Instruments, Fluke, Anritsu, Xcerra (LTX-Credence), Teledyne LeCroy, Yokogawa, VIAVI Solutions (Cobham), Testo, FLIR, Chauvin Arnoux, and Hioki.The base year for this research is 2017 with historical data from 2014 to 2016. The forecast period is from 2018 to 2022.
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