BANGALORE, India, Aug. 2, 2024
/PRNewswire/ -- Artificial Intelligence in the Security Market is
Segmented by Type (Endpoint Security, Network Security, Application
Security, Cloud Security), by Application (Government &
Defense, Enterprise, BFSI, Retail, Healthcare, Manufacturing,
Automotive & Transportation, Infrastructure).
The Global Artificial Intelligence in Security Market is
projected to grow from USD 4966.7
Million in 2023 to USD 13450
Million by 2029, at a Compound Annual Growth Rate (CAGR) of
18.1% during the forecast period.
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Major Factors Driving the Growth of AI in Security
Market:
The market for artificial intelligence (AI) in security is
growing quickly as businesses use cutting-edge technology to
improve their security protocols and defend against increasingly
complex cyberattacks. The efficiency and efficacy of security
operations are greatly increased by AI-driven security systems,
which include features like automated responses, predictive
analytics, and real-time threat identification. By identifying and
thwarting possible attacks more quickly than with conventional
techniques, AI integration in security systems lowers the
likelihood of data breaches and other cyber catastrophes. The use
of AI in security is driven by the need for proactive security
tactics and the increasing complexity of cyberattacks. These
industries include government, banking, healthcare, and retail.
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TRENDS INFLUENCING THE GROWTH OF THE AI IN SECURITY
MARKET:
The market for artificial intelligence (AI) in security is
growing quickly as businesses use cutting-edge technology to
improve their security protocols and defend against increasingly
complex cyberattacks. The efficiency and efficacy of security
operations are greatly increased by AI-driven security systems,
which include features like automated responses, predictive
analytics, and real-time threat identification. By identifying and
thwarting possible attacks more quickly than with conventional
techniques, AI integration in security systems lowers the
likelihood of data breaches and other cyber catastrophes. The use
of AI in security is driven by the need for proactive security
tactics and the increasing complexity of cyberattacks. These
industries include government, banking, healthcare, and retail.
Because endpoints like laptops, cellphones, and IoT devices are
frequently used as entry points for assaults, endpoint security is
a major driver of AI in the security industry. AI improves endpoint
security by offering more sophisticated threat detection and
reaction tools. Real-time endpoint activity monitoring and analysis
by AI-powered systems can spot irregularities and possible threats
that conventional security technologies would overlook. Secure
sensitive data and organizational network integrity depend on the
capacity to identify zero-day attacks, ransomware, and other
advanced threats at the endpoint level. The market is expanding as
a result of the rising need for reliable AI-driven endpoint
security solutions brought on by the growing number of connected
devices.
Because of its extreme vulnerability to financial
fraud and data breaches, the BFSI (Banking, Financial
Services, and Insurance) industry is one of the main drivers of AI
in the security market. Artificial intelligence (AI) technology
provides sophisticated capabilities to identify and stop fraudulent
activity, secure transactions, and safeguard client data. AI is
used by financial institutions for real-time monitoring, risk
assessment, and anomaly detection—tasks that are essential for
upholding client confidence and adhering to strict regulatory
standards. Artificial intelligence (AI) is a vital tool for the
financial services industry because of its capacity to analyze vast
amounts of financial data and swiftly and correctly spot
questionable trends. The increasing sophistication of cyber threats
directed at financial institutions is propelling the financial
sector's use of artificial intelligence (AI) in security, hence
driving market expansion.
One of the main drivers of the security industry's development
is proactive threat detection. AI technologies offer proactive
threat detection by continually monitoring and analyzing data to
discover possible dangers before they can cause harm, in contrast
to traditional security methods that respond to attacks after they
happen. Security systems can anticipate and avert intrusions thanks
to machine learning algorithms' ability to learn from past data and
identify anomalies. By taking a proactive stance, security breaches
are less damaging and incident response takes less time and money.
The capacity of AI to reduce risks and issue early warnings is
attracting more and more organizations, which is fueling the growth
of the AI security industry.
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AI IN SECURITY MARKET SHARE
The market for AI in security is expanding quickly in the
Asia-Pacific area as a result of
growing cyberthreats, a rise in the use of AI technology, and large
expenditures in digital infrastructure. China, Japan,
and India are leading the way in
this expansion due to their developing IT sectors and government
programs to strengthen cybersecurity.
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Key Companies:
- NVidia
- Intel
- Xilinx
- Samsung Electronics
- Micron
- IBM
- Cylance
- Threatmetrix
- Securonix
- Amazon
- Sift Science
- Acalvio
- Skycure
- Darktrace
- SparkCognition
- Antivirus Companies
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