Artificial Intelligence in Security Market Size, Share, Up-coming Trends, Analysis, Manufactures, Regions, Leading Players, Outlook –Future and Forecast 2023

The Global report on “Artificial Intelligence in Security Market” delivering key insights and providing a competitive advantage to clients through a detailed report. The report also details the information about the global market status, growth rate, future trends, market drivers, challenges, opportunities and porter’s forces analysis with respect to these elements. An exclusive data offered in this report is collected by research and industry experts team.

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“Artificial intelligence(AI) in security market is expected to grow at a CAGR of 31.38%between 2017 and 2025.”

The AI in security market is expected to be valued at USD 3.92 billion in 2017 and is likely to reach USD 34.81 billion by 2025, at a CAGR of 31.38% during the forecast period. Factors such as the increasing use 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 cyber security professionals. The use of AI-based solutions for cyber security can mitigate the need for cyber security 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 cyber attacks. 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 cyber attacks. 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 previously 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, Australia, Japan, China, and South Korea are vulnerable to cyber attacks. With the increasing incidents of cyber attacks and a growing cyber-war in the region, organizations and governments are focusing on a robust defense infrastructure. SMEs and large enterprises in this region are rapidly adopting cyber security 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 cyber security 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 cyber security 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%, Tier 2—25%, and Tier 3—50%
  • By Designation: C-Level Executives—25%, Managers—35%, and Others (Sales, Marketing, and Product Managers)—40%
  • By Region: North America—50%, Europe—30%, APAC—10%, and RoW—10%

The companies covered in the report on the AI in security market are NVIDIA (US), Intel (US), IBM (US), Micron (US), Samsung (Korea), Xilinx (US), Amazon (US), Cylance (US), Securonix (US), ThreatMetrix (US), Sift Science (US), Acalvio (US), Skycure (US), Darktrace (UK), and SparkCognition (US). Some of the major companies that provide antivirus are McAffee (US), Kaspersky (Russia), 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 (US), Feedzai (US), Vectra Networks (US), Zimperium (US), Fortscale (US), Argus Cyber Security (Israel), Nozomi Networks (US), Indegy (US), and Bitsight Technologies (US).

Research Coverage

The AI in security market has been segmented on the basis of offering, deployment type, security type, security solution, technology, end-user industry, 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), antivirus/antimalware, intrusion detection/prevention system (IDS/IPS), and others (firewall, security and vulnerability management, disaster recovery, DDOS mitigation, web filtering, application white listing, and patch management). The market has been segmented on the basis of end-user industry into government & defense, BFSI, enterprise, infrastructure, automotive & transportation, healthcare, retail, manufacturing, and others (oil & gas, education, and energy).

Reasons to buy the report:

The report would help the market leaders/new entrants in this market in the following ways:

  • This report segments the AI in security market comprehensively and provides the closest approximation of the size of the overall market and its subsegments for various applications across different regions.
  • The report helps stakeholders understand the pulse of the market and provides them with the information on key market drivers, restraints, challenges, and opportunities pertaining to the market.

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