Artificial Intelligence in Cybersecurity Market Recent Trends, Outlook, Size, Share, Top Companies, Industry Analysis, Future Development & Forecast - 2028

Artificial Intelligence in Cybersecurity Market by Security Type (Infrastructure (Network, Endpoint, Cloud), Data, Application), Technology (ML, Deep Learning (CNN, GAN), Context-Aware Computing), Application (IAM, DLP, and UTM) - Global Forecast to 2028.
The global AI in cybersecurity market [https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-ai-cyber-security-market-220634996.html?utm_campaign=artificialintelligenceaicybersecuritymarket&utm_source=abnewswire.com&utm_medium=paidpr] is expected to grow significantly, rising from USD 22.4 billion in 2023 to USD 60.6 billion by 2028, with a compound annual growth rate (CAGR) of 21.9% over the forecast period. This growth is fueled by the rapid adoption of Internet of Things (IoT) technologies and the increasing number of connected devices worldwide. The escalating frequency and complexity of cyber threats, heightened concerns over data security, and the vulnerability of Wi-Fi networks to breaches are also key contributors to this market expansion.

Emerging opportunities include a rising demand for cloud-based cybersecurity solutions, particularly among Small and Medium Enterprises (SMEs), and the expanding use of social media in business operations, which opens new avenues for AI integration in cybersecurity strategies. However, several constraints are impacting market progress. These include AI's limited effectiveness in addressing zero-day and advanced persistent threats, as well as a growing incidence of insider attacks. Additionally, the market faces challenges such as a shortage of skilled professionals in both AI and cybersecurity, difficulties in integrating AI systems with existing IT infrastructure, and fundamental limitations within current AI technologies used for cybersecurity applications.

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Software segment to account for the largest market size during the forecast period.

Based on the offering segment, software is anticipated to hold the largest market size during the forecast period. Computer systems rely on integrated software to execute intricate operations, synthesizing data from hardware and processing it through AI systems for intelligent responses. The rise of AI in the cybersecurity software market is driven by a surge in security breaches targeting business applications, where hackers aim to access sensitive data. Stricter data privacy policies and regulations contribute to the increasing demand for AI-based cybersecurity solutions, addressing challenges posed by evolving cyber threats. The adoption of cybersecurity solutions is further propelled by the widespread use of connected devices, the BYOD trend in organizations, and the global increase in internet usage, all aimed at mitigating potential risks.

Managed service to account for higher CAGR during the forecast period.

Based on the services, managed services are anticipated to hold the highest CAGR during the forecast period. Managed services are significantly shaping AI in cybersecurity, fostering a proactive defense landscape. AI algorithms in these services enhance real-time threat detection, automating incident responses for swift mitigation. Resource allocation is optimized through AI automation, allowing cybersecurity teams to focus on strategic initiatives. Continuous monitoring and adaptive security measures provide comprehensive coverage against evolving cyber threats. AI-powered risk management analyzes vast datasets, fortifying organizations against potential vulnerabilities. Scalability, flexibility, and predictive analytics empower organizations to anticipate and respond effectively to cyber threats. The strategic insights from AI facilitate informed decision-making, contributing to cost-effective and efficient cybersecurity operations.

Asia Pacific to exhibit the highest CAGR during the forecast period.

The CAGR of Asia Pacific is estimated to be highest during the forecast period. The AI in cybersecurity market in the Asia Pacific is poised for growth, driven by factors such as population rise and government policies. Emerging methodologies such as Machine Learning, IoT, Big Data analytics, and AI are being deployed as organizations shift to the cloud for enhanced production speed. The region faces evolving and sophisticated cyber threats, including ransomware, ad fraud malware, and DDoS attacks. Vulnerable countries such as India, Australia, Japan, China, and South Korea are focusing on robust defense infrastructure amidst increasing cyber warfare.

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Unique Features in the Artificial Intelligence in Cybersecurity Market

IoT Integration: The widespread adoption of the Internet of Things (IoT) and the growing number of connected devices are pivotal in driving market demand for AI cybersecurity.

Cyber Threats and Data Protection: The increasing frequency and sophistication of cyberattacks, along with growing concerns about data security, make AI-powered solutions more attractive.

Wi-Fi Security Vulnerabilities: The heightened risks associated with Wi-Fi networks and their increased vulnerability to breaches are also fueling the need for advanced AI-driven cybersecurity solutions.

Cloud-Based Security: The rise in demand for cloud-based cybersecurity solutions, especially among Small and Medium Enterprises (SMEs), presents significant growth opportunities for AI technologies in the sector.

Social Media Integration: As businesses increasingly rely on social media for operations, there is a growing need for AI-based cybersecurity measures to protect sensitive data and digital assets.

Limitations of AI: AI has inherent limitations in addressing zero-day vulnerabilities and advanced persistent threats, which poses a challenge for its widespread adoption in the cybersecurity field.

Insider Threats: The rise of insider threats complicates cybersecurity efforts, making it more challenging for AI technologies to safeguard data and networks.

Major Highlights of the Artificial Intelligence in Cybersecurity Market

Integration of IoT and Connected Devices: The rising integration of the Internet of Things (IoT) and the continuous growth in connected devices are major contributors to the increased need for AI-driven cybersecurity solutions.

Increase in Cyber Threats: The growing frequency of cyberattacks, coupled with heightened concerns over data privacy and security, is accelerating the demand for AI-based security tools.

Wi-Fi Network Vulnerabilities: The increasing vulnerability of Wi-Fi networks to cyber breaches has significantly boosted the demand for AI technologies to safeguard these critical infrastructure components.

Cloud-Based Security Solutions for SMEs: The demand for AI-powered, cloud-based security solutions among Small and Medium Enterprises (SMEs) is growing, creating new business opportunities in the AI cybersecurity sector.

Business Operations and Social Media: With the increasing use of social media in business operations, businesses are looking for AI-driven solutions to protect sensitive data and digital assets from cyber threats.

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Top Companies in the Artificial Intelligence in Cybersecurity Market

Major vendors in the global AI in Cybersecurity market NVIDIA (US), Intel (US), Xilinx Inc. (US), Samsung Electronics Co., Ltd (South Korea), Micron Technology, Inc. (US), IBM Corporation (US), Amazon Web Services, Inc. (US), Microsoft (US), Palo Alto Networks Inc. (US), Trellix (US), CrowdStrike (US), NortonLifeLock (US), Cylance Inc. (US), ThreatMetrix Inc. (US), Securonix Inc. (US), Sift Science (US), Acalvio Technologies (US), Darktrace (UK), SparkCognition Inc. (US), Fortinet (US), Check Point Software Technologies, Ltd (US), High-Tech Bridge (Switzerland), Deep Instinct (US), SentinelOne (US), Feedzai (US), Vectra (US) Zimperium (US), Argus Cyber Security (Israel), Nozomi Networks (US), BitSight Technologies (US), and Antivirus companies such as Kaspersky Lab (Russia), Bitdefender (Romania), and ESET (US).

NVIDIA, originally focused on PC graphics, has evolved into a key player in GPU development, delivering value across PC, mobile, and cloud architectures. The company's emphasis has shifted towards machine learning and diverse AI technologies. Its operations are structured into two main segments: Graphics and Compute & Networking. In the Graphics segment, NVIDIA offers a range of products, including GeForce, Quadro, GeForce NOW, Tesla, and GRID, catering to visual computing in applications such as PC gaming, computer-aided design, and video editing. Professional visualization is addressed through innovations like Quadro Virtual Data Center Workstation, Project Holodeck, and NVIDIA Optix 5.0. The Compute & Networking segment provides Tegra, DRIVE PX, and SHIELD products. Tegra processors, designed for high performance, power DRIVE and SHIELD platforms. DRIVE PX processors are instrumental in automotive computers for self-driving capabilities, while SHIELD processors find applications in mobile cloud gaming. NVIDIA strategically targets gaming, professional visualization, data centre, and automotive markets. With a global presence spanning more than 40 offices across the Americas, Asia, and Europe, the company extends its reach through subsidiaries like ADEIA Technologies Switzerland AG, Icera Canada ULC, NVIDIA Brasil Computacao Visual Limitada, NVIDIA Development UK Limited, NVIDIA Entertainment Devices Co., Ltd., NVIDIA Graphics Private Limited, and NVIDIA GmbH.

CrowdStrike operates as a leading provider of endpoint security solutions, anchored by its platform, CrowdStrike Falcon. This cloud-native endpoint protection platform integrates antivirus, threat intelligence, endpoint detection and response (EDR), device control, threat hunting, IT hygiene products, incident response, and proactive services. With a SaaS subscription-based model, CrowdStrike Falcon incorporates 22 cloud modules, catering to markets such as corporate workload security, security and vulnerability management, managed security services, IT operations management, threat intelligence services, identity protection, and log management. Revenue for CrowdStrike is categorized into two segments: Subscription and Professional Services. Subscription revenue is derived from Falcon platform fees and additional cloud modules, driven by factors like the number of subscription customers, endpoints per customer, and included cloud modules. On the other hand, Professional Services revenue encompasses incident response, proactive services, forensic and malware analysis, and attribution analysis. CrowdStrike serves diverse sectors, including public and retail, healthcare, and financial industries. The company's comprehensive approach to endpoint security positions it as a key player in the rapidly evolving landscape of cybersecurity.

Intel is a global technology company specializing in the design and manufacturing of products powering the cloud and connected world. It supplies computers, networking, and communication platforms to OEMs, ODMs, cloud providers, and various industries. With business segments like Client Computing, Data Center, IoT, Memory Solutions, Programmable Solutions, and Others, Intel covers a broad spectrum of markets. In the Internet of Things Group (IOTG), Intel holds a robust position, offering components and software for diverse IoT segments like retail, transportation, industrial, and smart cities. The company's expansion in cloud, data center, IoT, memory, and FPGA contributes to overall growth. Intel is strategically positioned in the AI landscape, reinforced by acquisitions like Saffron Technologies and Nervana Systems. The Intel Nervana AI Academy fosters AI accessibility through data, tools, and training initiatives. With a presence in over 63 countries and consumers in 120 countries, Intel continues to drive innovation and connectivity globally. Key subsidiaries include Intel Americas, Intel Asia Holding, Intel (UK), Intel Israel Holdings, Intel Kabushiki Kaisha, Intel Mobile Communications, and Intel Semiconductor (Dalian).

Darktrace is a UK-based cybersecurity company founded in 2013. It specializes in artificial intelligence for cyber defense. The company's technology, known as the Enterprise Immune System, uses machine learning and AI algorithms to detect and respond to cyber threats in real-time. Darktrace's solutions are designed to identify unusual activity within a network, thereby providing early warnings of potential breaches. The company has gained recognition for its innovative approach to cybersecurity and serves a broad range of industries worldwide.

High-Tech Bridge is a Switzerland-based cybersecurity company founded in 2007. It specializes in web security testing and ethical hacking. The company is known for its ImmuniWeb platform, which combines AI and human expertise to conduct comprehensive security assessments, including web and mobile application testing, and compliance monitoring. High-Tech Bridge emphasizes the importance of proactive security measures and has received recognition for its innovative solutions in the cybersecurity industry.

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