Press release
AI In Cybersecurity Global Market Analysis, Trends, Growth, Research And Forecast 2033
The ai in cybersecurity market size has grown exponentially in recent years. It will grow from $20 billion in 2023 to $25.08 billion in 2024 at a compound annual growth rate (CAGR) of 25.4%. The growth in the historic period can be attributed to proof of ai efficacy, emergence of predictive analytics, big data utilization, evolving cybersecurity landscape, early adoption of ai techniques.The ai in cybersecurity market size is expected to see exponential growth in the next few years. It will grow to $62.56 billion in 2028 at a compound annual growth rate (CAGR) of 25.7%. The growth in the forecast period can be attributed to increasing cyber threat sophistication, growing adoption of iot devices, demand for real-time threat detection, shift to cloud-based security, cybersecurity skills gap. Major trends in the forecast period include ai in endpoint security, threat intelligence and information sharing, ai-enhanced incident response, ai-powered authentication, prediction and preemptive measures.
Market Overview -
Artificial Intelligence (AI) in cybersecurity refers to the application of AI technologies and techniques to enhance and strengthen cybersecurity measures. It is the process of analyzing large amounts of risk data as well as the link between hazards in a company's information systems to detect, prevent, and respond to threats and attacks more efficiently and effectively.
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Surge In Cybercrimes To Drive Market Growth
The rise in the number of cybercrimes is expected to propel the growth of AI in cybersecurity market going forward. Cybercrime is any illegal activity that involves the use of computers, networks, or other digital devices that are carried out by individuals or groups with malicious intent, such as stealing sensitive information, disrupting computer systems, or committing fraud. Artificial intelligence is used to address the growing threat of cybercrime by providing advanced security solutions that can quickly detect, analyze, and respond to cyber threats in real time and reduces false positives by filtering out non-threatening activities. For instance, in 2022, according to the Federal Bureau of Investigation, a US-based law enforcement agency, the total amount of investment fraud complaints surged to $3.31 billion, marking a significant rise of 127% from the $1.45 billion reported in 2021. Notably, within these complaints, cryptocurrency investment fraud saw the most dramatic increase, soaring from $907 million in 2021 to $2.57 billion in 2022, which represents a staggering 183% rise. Therefore, the rise in the number of cybercrimes is driving the growth of the AI in cybersecurity market.
Competitive Landscape -
Major companies operating in the ai in cybersecurity market report are Nvidia Corporation, Intel Corporation, Xilinx Inc., International Business Machines Corporation, Micron Technology Inc., Samsung Electronics Co. Ltd., Amazon Web Services Inc., Microsoft Corporation, Palo Alto Networks Inc., CrowdStrike Holdings Inc., NortonLifeLock Inc., Cylance Inc., FireEye Inc., Check Point Software Technologies Ltd., Darktrace Plc, McAfee LLC, Symantec Corporation, Fortinet Inc., Cisco Systems Inc., Splunk Inc., Varonis Systems Inc., Trend Micro Incorporated, Sophos Group plc, Carbon Black Inc., Dragos Inc., Zscaler Inc., CyberArk Software Ltd., Lookout Inc., XM Cyber Ltd., Axonius Inc.
New Innovations Transforming The AI In Cybersecurity Market
Major companies operating in the Ai in cybersecurity market are developing new solutions for enterprise security to gain a competitive edge in the market. Enterprise security refers to the comprehensive set of measures and strategies implemented by organizations to safeguard their information, assets, technologies, and operations from various threats and risks. For instance, in April 2023, SentinelOne, Inc., a US-based cybersecurity company, launched a threat-hunting platform leveraging generative artificial intelligence and reinforcement learning. The platform integrates real-time neural networks and a language model-based natural language interface, enabling users to manage and monitor security data with AI, receive instant insights, and take actions seamlessly. The platform aggregates information from various sources, recommending and executing response actions without coding skills. SentinelOne aims to empower organizations to scale cybersecurity operations, stay ahead of evolving threats, and create a robust defense foundation for the future.
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Key Segments -
The ai in cybersecurity market covered in this report is segmented -
1) By Offering: Hardware, Software, Services
2) By Technology: Machine learning, Natural Language Processing (NLP), Context-Aware Computing
3) By Security Type: Network Security, Endpoint Security, Application Security, Cloud Security
4) By Application: Identity and Access Management, Risk and Compliance Management, Data Loss Prevention, Unified Threat Management, Security and Vulnerability Management, Antivirus or Antimalware, Fraud Detection or Anti-Fraud, Intrusion Detection or Prevention System, Threat Intelligence, Other Applications
5) By End Users: Banking, Financial Services, and Insurance (BFSI), Retail, Manufacturing, Infrastructure, Enterprise, Healthcare, Automotive and Transportation, Government and Defense, Other End-Users
Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics
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