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Due to the rise of botnet assaults, corporations and groups need botnet identification to defend themselves. Criminals operate botnets of compromised machines. DDoS assaults, data breaches, and virus proliferation are their major issues. Effective botnet tracking systems are needed since these assaults are becoming more frequent and smarter.
Botnet techniques change often, which drives the industry. Botnets are growing stronger at breaking into systems and networks as hackers get wiser. Botnet monitoring tools must be updated often to address new threats and weaknesses.
Businesses are also realizing how botnet assaults may hurt their operations and image, changing the market. To protect their networks and data, corporations are investing in robust botnet monitoring technologies. A good malware assault may hurt a company's profits and operations. Businesses in all areas prioritize preventing and discovering these dangers. Businesses are searching for thorough and efficient botnet monitoring solutions to improve their cyber security, hence the market is bustling.
Legal environment is another major market factor. More and more, governments and regulators emphasize the need of discovering and addressing cyber hazards. Regulations need sophisticated botnet monitoring systems to fulfill industry requirements and protect private data. This government environment helps the botnet detection industry flourish as firms ensure their protection strategies comply with the law.
Botnet identification methods using AI and ML transform the industry. AI and ML algorithms allow these systems to analyze massive data sets and identify hacking tendencies. Finding unexpected activity and abnormalities in real time improves botnet detection. This allows firms to anticipate and mitigate shifting hazards. These cutting-edge tools are part of a cybersecurity trend that relies on automation and smart analytics to stay ahead of thieves.
Scalability and freedom of botnet monitoring technologies affect market movement. Companies of various sorts want choices that can expand with their demands and match existing safety systems to protect their digital assets. Companies should search for detection solutions that can simply add botnet detection to their security systems and adjust resource use depending on demand. Botnet detection is an essential and effective aspect of a full security strategy due to its versatility.
Botnet Detection Market Highlights:
Botnet Detection Market Overview
With the adoption of cloud and IoT technology, use of the Internet has increased. Every enterprise today, government or commercial, relies on the Internet and computer networks to share the enterprise data. Also, with the increasing adoption of IoT, the number of web-connected devices increases where the majority of devices have little or no security features.
Figure1: Botnet Detection Market, 2018 - 2030 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Botnets are networks of connected devices such as personal computers, smartphones, and laptop infected with malware which are remotely controlled by bot masters or bot headers. Botnets are a significant threat to networks. The main purpose of botnets is spreading cyber attacks in the form of spam messages, distributed denial of service (DDoS) attacks, and automated identity theft. Zeus, Droid Dream, and Tigerbot are some of the mobile bots which have carried out successful botnet attacks in mobile to mobile platforms
Botnet detection techniques are adopted by both large as well as small & medium-sized enterprises (SMEs) as every enterprise aims to protect its confidential information from being stolen or destroyed from cyber attacks and frauds. BFSI industries primarily adopt botnet detection techniques as the cyber attackers are in constant wait for stealing customer data and accessing money. In the year 2017, White Ops Inc., a cybersecurity provider company detected about 40,000 banking Trojan botnets.
Furthermore, retail & e-commerce industries are also vulnerable to botnet attacks as majority of the transactions take place online. Cyber attackers keep a constant watch on the transactions and customer data to steal, skew and scrape it. If the botnet files are not detected and worked upon, customer satisfaction might get affected resulting in a staggering reduction in the revenue.
However, a major challenge faced by the botnet detection market is the lack of awareness about the latest botnet detection techniques. Majority of the enterprises are still using traditional botnet techniques whereas the severity and sophistication of threats has been constantly increasing which raises the demand for equally complex detection systems.
Market Segmentation
The global botnet detection market is segmented into various segments on the basis of deployment, organization size, application, detection techniques, and vertical.
By deployment, the market is segmented into on-cloud and on-premise.
By organization size, the market is segmented into large enterprise and small and medium enterprises (SMEs).
By application, the market is segmented into web-based, mobile-based, and API based.
By detection technique, the market is segmented into flow data monitoring, anomaly detection, DNS log analysis, and honeypots.
By vertical, the market is segmented into BFSI, government & defense, IT & telecom, retail, media & entertainment, transportation, healthcare, and others.
Regional analysis
The global market for botnet detection is estimated to grow at a significant rate during the forecast period from 2022-2030. The geographical analysis of the botnet detection market is done for North America, Europe, Asia-Pacific, and the rest of the world.
North America is expected to dominate the botnet detection market during the forecast period. The major factors influencing the market in this region are the increasing adoption of cloud and IoT technologies along with connected devices such as smartphones which run a constant threat of botnet attacks. Also, well-established economies such as the US and Canada are spending a huge amount on research and development of botnet detection techniques, which is expected to fuel the market growth in the region. Asia-Pacific is expected to grow at a significant pace during the forecast period due to increasing adoption of botnet detection techniques by enterprises to safeguard the enterprise data.
The global botnet detection market is expected to generate a market value of USD 46.20 Billion By 2030 growing at a CAGR of 7.03%.
Key players
The prominent players in the market of botnet detection are
- Akamai Technologies (US)
- Shield Square (India)
- PerimeterX, Inc. (US)
- Distil Inc. (US)
- Imperva (US)
- Intechnica Ltd (UK)
- Instart Logic Inc.(US)
- White Ops, Inc (US)
- Kasada Pty Ltd (Australia)
- Unbotify (Israel)
- Shape Security (US)
- InfiSecure Technologies Inc. (India)
- AppsFlyer (US)
- Variti International GmbH (Switzerland)
- Datadome (France)
- Mfilterit (India)
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