The AI in security market is expected to be valued at U.S.D 3.92 billion in 2017 and is likely to reach U.S.D 34.81 billion by 2025, at a CAGR of 31.38 percent during the forecast period. Factors such as the increasing U.S.e of the Internet and constant need for employees to be online are contributing to the growth of the market.
Another major factor boosting the demand for AI-based security solutions is the shortage of cybersecurity professionals. The U.S.e of AI-based solutions for cybersecurity can mitigate the need for cybersecurity professionals. The inability of AI to stop zero-day and advanced threats, and limited security budgets of companies are the two major factors restraining the growth of the AI in security market.
Endpoint security is expected to hold the largest share of the Ai in security market in 2017.
AI for endpoint security solutions involves the integration of endpoint data and analytics to gain threat intelligence, which helps detect and expose an attack in a particular environment. Rapidly increasing number of connected devices worldwide is one of the major factors driving the growth of this market.
Also, the rising number of mobile devices has made the networks more vulnerable to cyberattacks. In addition, the trend of connected devices, mobile workers, BYOD, social media, and cloud synchronizing tools are driving the growth of the market for endpoint security.
Market for machine learning technology is expected to grow at a high rate between 2017 and 2025.
Machine learning enables systems to automatically improve their performances with experience. This technology can reliably and quickly scan, parse, and react to anomalies.
The information gathered can be shared with their human counterparts, thereby mitigating cyberattacks. Machine learning can also help operators reverse engineer attacks to make improvements to their systems, by addressing and preventing attacks before they happen. Machine learning’s ability to collect and handle big data, along with its increased ability to perform previoU.S.ly impossible calculations, is fueling the growth of the market for machine learning.
AI in security market in APAC is expected to grow at a high rate between 2017 and 2025.
In APAC, countries such as India, AU.S.tralia, Japan, China, and South Korea are vulnerable to cyberattacks. With the increasing incidents of cyberattacks and a growing cyber-war in the region, organizations and governments are focU.S.ing on a robU.S.t defense infrastructure.
SMEs and large enterprises in this region are rapidly adopting cybersecurity solutions to ensure security of their networks, web, and mobile applications. High adoption of advanced technologies, such as IoT, big data analytics, and cloud computing, and rising concerns about data security in the region are expected to drive the growth of the AI in security market in APAC.
North America is an early adopter of innovative technologies, and several cybersecurity vendors are based in this region. Banks, government agencies, and financial institutes in this region face ever increasing challenges related to cyber threats.
Therefore, they implement advanced technologies to manage the cybersecurity landscape. This factors are contributing to the growth of the AI in security market in North America.
In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews have been conducted with people holding key positions across several regions. The breakup of the profiles of primary participants has been given below.
• By Company Type: Tier 1—25 percent, Tier 2—25 percent, and Tier 3—50 percent
• By Designation: C-Level Executives—25 percent, Managers—35 percent, and Others (Sales, Marketing, and Product Managers)—40 percent
• By Region: North America—50 percent, Europe—30 percent, APAC—10 percent, and RoW—10 percent
The companies covered in the report on the AI in security market are NVIDIA (U.S.), Intel (U.S.), IBM (U.S.), Micron (U.S.), Samsung (Korea), Xilinx (U.S.), Amazon (U.S.), Cylance (U.S.), Securonix (U.S.), ThreatMetrix (U.S.), Sift Science (U.S.), Acalvio (U.S.), Skycure (U.S.), Darktrace (UK), and SparkCognition (U.S.). Some of the major companies that provide antivirU.S. are McAffee (U.S.), Kaspersky (RU.S.sia), Bitdefender (Romania), and ESET (Slovakia). A few key innovators that have been included in the report are High-Tech Bridge (Switzerland), Deep Instinct (Israel), SentinelOne (U.S.), Feedzai (U.S.), Vectra Networks (U.S.), Zimperium (U.S.), Fortscale (U.S.), ArgU.S. Cyber Security (Israel), Nozomi Networks (U.S.), Indegy (U.S.), and Bitsight Technologies (U.S.).
The AI in security market has been segmented on the basis of offering, deployment type, security type, security solution, technology, end-U.S.er indU.S.try, and geography. The market has been segmented on the basis of offering into hardware, software, and services.
The market, based on deployment type, has been segmented into cloud deployment and on-premise deployment. Based on technology, the market has been segmented into machine learning, context awareness computing, and natural language processing. Based on security type, the market has been segmented into network security, endpoint security, application security, and cloud security.
The market has been segmented on the basis of security solution into identity and access management (IAM), risk and compliance management, encryption, data loss prevention (DLP), unified threat management (UTM), antivirU.S./antimalware, intrU.S.ion detection/prevention system (IDS/IPS), and others (firewall, security and vulnerability management, disaster recovery, DDOS mitigation, web filtering, application whitelisting, and patch management). The market has been segmented on the basis of end-U.S.er indU.S.try into government & defense, BFSI, enterprise, infrastructure, automotive & transportation, healthcare, retail, manufacturing, and others (oil & gas, education, and energy).
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