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What is the Projected Compound Annual Growth Rate (CAGR) of the AI In Cybersecurity Market from 2025 to 2034, and What Factors Influence It?

The market size of AI in cybersecurity has experienced substantial growth lately. The sector, currently valued at $24.67 billion in 2024, is projected to expand to $30.79 billion in 2025, indicating a compound annual growth rate (CAGR) of 24.8%. The significant growth during the historic period can be traced back to the successful demonstration of AI’s capabilities, the advent of predictive analytics, the efficient use of big data, the changing dynamics of the cybersecurity area, and the preliminary adoption of AI techniques.

The market size for AI in cybersecurity is predicted to expand significantly over the coming years, reaching $82.56 billion in 2029 with a compound annual growth rate (CAGR) of 28.0%. The anticipated growth in this future period can be linked to factors like growing cyber threat complexity, the rising use of IoT gadgets, the need for immediate threat detection, shifting towards cloud-based security, and the gap in cybersecurity skills. Major trends to observe in this forecast period include AI’s role in endpoint security, threat intelligence and info exchange, AI-enhanced incident response, AI-enabled authentication, and proactive measures and predictions.

What External and Internal Drivers Are Contributing to the Growth of the ai in cybersecurity Market’s Growth?

The anticipated increase in AI application in cybersecurity market is propelled by the escalating number of cybercrimes. Cybercrime, which is any criminal activity involving computers, networks, or other digital devices, is perpetrated by individuals or groups with malicious intent. Their intentions range from stealing sensitive information to disrupting computer systems and committing fraud. To counter this growing cybercrime threat, artificial intelligence is employed to provide superior security solutions that swiftly detect, analyze, and respond to cyber threats in real time. It also minimizes false positives by sieving out non-threatening activities. For example, the Federal Bureau of Investigation, a US-based law enforcement agency, reported that the total investment fraud complaints in 2022 escalated to $3.31 billion. This is a significant 127% increase compared to the $1.45 billion reported in 2021. Noteworthy is that among these complaints, cryptocurrency investment fraud witnessed the most considerable rise, skyrocketing from $907 million in 2021 to $2.57 billion in 2022, marking a shocking 183% increase. Hence, the escalation in cybercrimes is fueling the growth of the AI in cybersecurity market.

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Who Are the Leading Players Fueling Growth in the AI In Cybersecurity Market?

Major companies operating in the AI in cybersecurity market include:

• Nvidia Corporation_x000D_

• Intel Corporation_x000D_

• Xilinx Inc._x000D_

• International Business Machines Corporation_x000D_

• Amazon Web Services Inc._x000D_

What Are the Emerging Trends Shaping the Future of the AI In Cybersecurity Market?

Significant players in the AI cybersecurity market are innovating enterprise security solutions to secure a competitive advantage. Enterprise security encompasses all the protective steps and strategies employed by corporations to guard their data, assets, technical capabilities, and operations from varied threats and hazards. For instance, SentinelOne, Inc., an American cybersecurity corporation, unveiled a threat-tracking platform in April 2023. This platform exploits the potential of generative AI and reinforcement learning and combines real-time neural networks with a natural language interface based on a language model. This allows users to manage security data using AI, get immediate intelligence, and conveniently execute actions. The platform accumulates data from different sources, recommends, and carries out response actions automatically, eliminating the need for coding skills. The aim of SentinelOne is to equip companies with the ability to scale their cybersecurity operations, stay prepped for future threats, and establish a solid defense foundation for what lies ahead.

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Which Segments Play a Crucial Role in the Expansion of the AI In Cybersecurity Market?

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

Subsegments:

1) By Solutions: Machine Learning Solutions, Natural Language Processing Solutions, Computer Vision Solutions, Speech Recognition Solutions, Predictive Analytics Solutions, Data Mining Solutions, Robotic Process Automation Solutions

2) By Services: Consulting Services, Integration Services, Support And Maintenance Services, Training And Education Services, Managed Services

Which Regions Are Driving Growth in the AI In Cybersecurity Market?

North America was the largest region in the AI in cybersecurity market in 2024.Asia-Pacific is expected to be the fastest-growing region in the global AI in cybersecurity market report during the forecast period. The regions covered in the AI in cybersecurity market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

What Are the Defining Features of the AI In Cybersecurity Market?

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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