Electronic Warfare Market Big Coin By 2022

According to MarketsandMarkets’ research report "Electronic Warfare Market by Capability (Electronic Support, Electronic Attack, Electronic Protection), Platform (Airborne, Naval, Ground, Space), Product (EW Equipment, EW Operational Support), and Region - Global Forecast to 2022", the market is estimated at $24.20 Billion in 2017 and is projected to reach $30.32 Billion by 2022, at a CAGR of 4.61% from 2017 to 2022. The increasing procurement of electronic warfare systems due to the growing transnational and regional instability across the world is expected to drive the market for electronic warfare. The rising use of electronic warfare technologies for geospatial intelligence gathering is expected to further drive the electronic warfare market during the forecast period.

 

Highlights

Free Newsletter

Like this article? Subscribe to FierceSensors!

The sensors industry is constantly changing as innovation runs the market’s trends. FierceSensors subscribers rely on our suite of newsletters as their must-read source for the latest news, developments and analysis impacting their world. Register today to get sensors news and updates delivered right to your inbox.
  • The space platform segment is projected to grow at the highest CAGR during the forecast period.
  • The electronic support segment is projected to grow at the highest CAGR during the forecast period.
  • Asia Pacific is projected to be the fastest-growing market for electronic warfare during the forecast period.
  • Major players operating in the electronic warfare market include Harris (US), BAE Systems (UK), Raytheon (US), Lockheed Martin (US), Boeing (US), SAAB (Sweden), Northrop Grumman (US), Israel Aerospace Industries (Israel), and Thales (France). 

If you need more info, browse select portions of the report.

 

MarketsandMarkets

Northbrook, IL

888-600-6441

[email protected]

Suggested Articles

Critics are concerned about a false sense of public health safety when temperature scanning is used in hospitals and other settings

Machine learning challenge will look for vocal communication between elephants and other behaviors

Iowa State University researchers are working with NSF grant