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Artificial Intelligence (AI) in Security Market Size to Grow USD 13450 Million by 2029 at a CAGR of 18.1% | Valuates Reports

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02 Aug, 2024, 17:02 GMT

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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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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!

-  AI Vulnerability Scanning market was valued at USD 3121.56 Million in 2023 and is anticipated to reach USD 7,574.30 Million by 2030, witnessing a CAGR of 13.52% during the forecast period 2024-2030.

-  Artificial Intelligence in Security, Public Safety & National Security market was valued at USD 3452.1 Million in 2023 and is anticipated to reach USD 4825.2 Million by 2030, witnessing a CAGR of 4.9% during the forecast period 2024-2030.

-  AI Security all-in-one Machine Market

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-  Artificial Intelligence Market

-  The emotion AI market was valued at USD 1.8 billion in 2022, and is estimated to reach USD 13.8 billion by 2032, growing at a CAGR of 22.7% from 2023 to 2032.

-  The global AI Content Generation market was valued at USD 1400 Million in 2022 and is anticipated to reach USD 5958 Million by 2029, witnessing a CAGR of 27.3% during the forecast period 2023-2029.

-  AI Image Generator market was valued at USD 426 Million in 2023 and is anticipated to reach USD 899.3 Million by 2030, witnessing a CAGR of 11.5% during the forecast period 2024-2030.

-  Edge AI Hardware Market

-  The global cloud artificial intelligence market was valued at USD 42.7 Billion in 2022, and is projected to reach USD 887 Billion by 2032, growing at a CAGR of 35.8% from 2023 to 2032.

-  Enterprise Artificial Intelligence Market

-  According to a new report published by , titled, "Generative AI Market," The generative ai market was valued at USD 8.15 billion in 2021, and is estimated to reach USD 126.5 billion by 2031, growing at a CAGR of 32% from 2022 to 2031.

-  Artificial Intelligence Chip Market

-  Artificial Intelligence (AI) in Mining Market

-  Small Language Model market is projected to reach USD 17180 Million in 2029, increasing from USD 5180 Million in 2022, with a CAGR of 17.8% during the period of 2023 to 2029.

-  Conversational AI Market

-  Korea Call Center AI Market

-  Call Center Artificial Intelligence Market

DISCOVER OUR VISION: VISIT ABOUT US!

Valuates offers in-depth market insights into various industries. Our extensive report repository is constantly updated to meet your changing industry analysis needs.

Our team of market analysts can help you select the best report covering your industry. We understand your niche region-specific requirements and that's why we offer customization of reports. With our customization in place, you can request for any particular information from a report that meets your market analysis needs.

To achieve a consistent view of the market, data is gathered from various primary and secondary sources, at each step, data triangulation methodologies are applied to reduce deviance and find a consistent view of the market. Each sample we share contains a detailed research methodology employed to generate the report. Please also reach our sales team to get the complete list of our data sources.

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