CLOUD IDS IPS MARKET ANALYSIS

Cloud IDS (Intrusion Detection System) and IPS (Intrusion Prevention System) are methodology used to escalate the security level of networks, by scanning and reviewing packets for suspicious data and monitoring traffic.

Growing probability of cyber-attacks, including ransomware, advanced persistent threats (APTs), distributed denial of service (DDoS), malicious insider, and zero day threats, is a major factor expected to drive growth of the global cloud IDS IPS market. Some of the worst incidents of ransomware attacks, which have resulted in high losses of revenue as of 2017, are the NotePetya, WannaCry, Locky, CrySis, and Nemucod. According to TechRepublic Cybersecurity Insider press release in October 2017, the outbreak of NotPetya cost the pharmaceutical company—Merck— over US$ 300 million in Q3 alone. This indicates the growing risk of cyber-attacks, which in turn, is expected to drive demand for cloud IDS IPS solutions for security purposes.

Additionally, increasing adoption of advanced solutions such as cloud operated robotic systems in the manufacturing sector, autonomous and connected automotive infrastructure, smart cities and smart healthcare infrastructures, has increased the adoption of internet connectivity and data communication. This in turn, increases risks of malware security threats, leading to substantial obstruction in the operation of these systems. Increasing security threats, is thus leading to an increasing demand for security solutions to address these issues and thwart any threats from ransomware attacks. This in turn, is expected to boost growth prospects of the market for cloud IDS IPS.

However, shortage of highly knowledgeable and skilled staff, and difficulties related to cloud IDS IPS implementation on hybrid cloud systems may restraint the growth of global clod IDS IPS market.

Cloud IDS IPS Market Taxonomy

On the basis of solution type, the global cloud IDS IPS market is segmented into:

• Signature-based Detection
• Anomaly-based Detection
• Others (Policy-based and Protocol-based Detection)

On the basis of service, the global cloud IDS IPS market is segmented into:

• Training and Consulting
• Integration
• Support and Maintenance

On the basis of deployment model, the global cloud IDS IPS market is segmented into:

• Public Cloud
• Private Cloud
• Hybrid Cloud

On the basis of organization size, the global cloud IDS IPS market is segmented into:

• Small and Medium-sized Enterprises 
• Large Enterprises

On the basis of end user, the global cloud IDS IPS market is segmented into:

• Banking, Financial Services, and Insurance (BFSI)
• IT and Telecom
• Government and Defense
• Education
• Retail
• Manufacturing
• Healthcare
• Energy and utilities
• Others (Media and Entertainment, Transportation and Logistics)

North America market accounted for the largest market share due to advanced internet infrastructure and high inclination of consumers towards high performance technologies such as cloud computing and cloud monitoring, has increased the vulnerability to security threats, especially in the US. The malwares and other related software are usually distributed through attachments or links through unauthorized emails, which cannot be detected by the conventional security firewalls and antivirus applications. For instance, according to the Internet Crime Complaint Center (IC3), in 2016, losses from cybercrimes accounted for over US$ 1.33 billion globally, from which, California recorded the highest loss of over US$ 255 million. Additionally, in 2016, around 28% of web application attacks were recorded in the U.S., followed by the Netherlands and Germany. Due to increasing number of cyber-attacks, the demand for threat intelligence and web filtering solutions are expected augment in the near future. This in turn, is expected to propel growth of the global cloud IDS IPS market.

Major players operating in the global cloud IDS IPS market include CA Technologies, Solarwinds, Dynatrace, Idera, Sevone, Cloudyn, Zenoss, Datadog, Kaseya, Logicmonitor, and Opsview.