Network Security in Robot Market

The ESOMAR-certified market research and consulting firm’s market research report on cyber security in the robotics market includes industry analysis in 2014-2021 and opportunity assessment in 2022-2029. According to the report, the cyber security value of the robot market reached $3.5 billion in 2022.


The report investigates and provides important insights into network security in the robot market. In addition, due to a variety of factors, such as the increased demand for cloud security in robotics, the increased use of machine learning and artificial intelligence in cyber defense, and the increase in information and data protection, the market for network security solutions is expected to achieve significant growth in security in the coming years.

Insecure communication, authentication problems, weak default configuration, denial of service attacks, risks and vulnerabilities, and privacy issues have caused some security problems in robotics. Therefore, the demand for network security solutions and services in robotics is increasing to prevent robots from being hacked, monitor vulnerabilities, prevent data tampering and prevent unauthorized access.

Authentication solutions are expected to create $1.6 billion incremental opportunities for robot network security during the forecast period from 2021 to 2029, according to market intelligence reports. In addition, denial of service protection solutions is expected to witness high adoption rates during the forecast period due to the overloading of online services vulnerable to DOS attacks. In addition, the world is witnessing the rapid growth of information security, human security, and data protection, which in turn creates potential growth opportunities for the cyber security of robot market participants.

Using AI and Machine Learning for Network Defense

Artificial intelligence and machine learning are being applied to major industries and applications, including network security in robotics. These technologies are used to detect network threats based on analyzing data and identifying threats, and then take advantage of loopholes in robot information security. In addition, machine learning remains a focus area for cyber security companies in the robot market because it enables robots to more accurately predict threats and observe abnormal behavior. Machine learning and artificial intelligence are also used to detect and track active online fishing sources.

The Manufacturing Industry Gives Priority to the Benefits of Robot Safety

Security issues in robotics are increasing because robots connect to other robots, enterprises, or clouds so that they can access internal systems and data servers. The data collected by robots are used by manufacturers to maximize production efficiency and improve product quality. To ensure safe production, manufacturers are investing in network security solutions, such as authentication solutions, encryption solutions, secure communications solutions, and denial of service protection solutions. to protect robots from hackers and deal with vulnerabilities in the process. Cyber security is a top priority for manufacturers because cyber attacks on robots may cause huge production losses.

Cloud-based Security in Robotics

The data collected by robots in different industries can be stored in the cloud for future use. This ensures productivity growth and cost reduction. Cloud-based security is important in robotics because it provides a better tracking and monitoring system than other security solutions. It also provides real-time firewalls and signature updates to block harmful traffic.

This study highlights the key opportunities for network security in the robot market and finds that the market will grow at a compound annual growth rate of 11% during the forecast period.
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