Big data analytics to optimize test and measurement process

Oct. 29, 2015

Mountain View, CA. Big data analytics is garnering enormous attention in test-and-measurement applications. Industries in the space are beginning to view analytical systems as a strategic tool to improve efficiency. Although only approximately five percent of total test data is currently used, this trend is changing as companies recognize the significance of tapping into the vast sea of available information to gain actionable insights.

Recent analysis from Frost & Sullivan, Global Big Data Analytics Market for Test and Measurement, projects market revenues to grow from $421.0 million in 2014 to $2,401.7 million in 2021 at a compound annual growth rate of 28.24%.

“Research and development, risk management, and asset management are the key applications in test and measurement where big data analytics is gaining traction,” said Frost & Sullivan Manufacturing 4.0 research analyst Apoorva Ravikrishnan. “Real-time monitoring and preventive maintenance too are racing to the top of investment priorities across industries.”

Automotive original equipment manufacturers (OEMs) are looking to utilize big data analytics to optimize products in the production line and keep track of maintenance and repair requirements. The aerospace industry is employing big-data analytics for component manufacturing, preventive maintenance services and real-time structural health monitoring.

Despite this expanding scope, high initial costs will slow down the large-scale adoption of big data analytics to a certain extent. A number of firms prefer to stick to in-house systems managed by their IT department rather than invest in advanced big data solutions for test and measurement. Moreover, several OEMs remain skeptical on the reliability of data analytics.

“Transitioning from rigid analog systems to digitized, smart, and automated technologies will be the need of the hour for big data analytic vendors striving to strengthen test and measurement capabilities,” advised Ravikrishnan. “Further, acquiring industry-specific expertise will differentiate analytic providers from the competition and quicken their rise to the top of the global big data analytics market for test and measurement.”

Global Big Data Analytics Market for Test and Measurement is a Market Insight that is part of the Test & Measurement Growth Partnership Service program. The Insight defines big data analytics for test and measurement, outlines its impact from both a quantitative and qualitative perspective, and offers futuristic predictions on trends. The study analyzes the relevant developments within big data analytics and identifies the key industries that embrace big data analytics for test and measurement. It also includes a macro-to-micro analysis of the unmet needs and inherent business opportunities for big data analytics in test and measurement.

About the Author

Rick Nelson | Contributing Editor

Rick is currently Contributing Technical Editor. He was Executive Editor for EE in 2011-2018. Previously he served on several publications, including EDN and Vision Systems Design, and has received awards for signed editorials from the American Society of Business Publication Editors. He began as a design engineer at General Electric and Litton Industries and earned a BSEE degree from Penn State.

Sponsored Recommendations

Comments

To join the conversation, and become an exclusive member of Electronic Design, create an account today!