The artificial intelligence (AI) in the security market is witnessing dynamic trends that reflect the industry's response to evolving threats and the growing integration of AI technologies. One prominent trend is the increasing adoption of AI-driven threat intelligence and detection systems. As cyber threats become more sophisticated, organizations are leveraging AI algorithms to analyze vast amounts of data and identify anomalous patterns that may indicate potential security breaches. This trend signifies a proactive approach to cybersecurity, with AI playing a central role in fortifying defenses against complex and rapidly evolving threats.
Another noteworthy trend is the rise of AI-powered automation in incident response and security operations. Organizations are deploying AI-driven solutions to automate routine security tasks, allowing human security professionals to focus on more complex and strategic aspects of cybersecurity. Automation streamlines threat detection, response, and mitigation, enhancing the overall efficiency of security operations. This trend reflects a growing recognition of the need for adaptive and agile security measures in the face of an ever-changing threat landscape.
The convergence of AI and cybersecurity is giving rise to explainable AI (XAI) as a critical trend in the security market. XAI aims to make AI algorithms more transparent and understandable, providing insights into how AI systems reach specific decisions. As AI plays a crucial role in critical security decisions, the ability to interpret and explain AI-generated insights becomes essential for gaining trust and ensuring accountability. This trend addresses concerns surrounding the opacity of AI systems and emphasizes the importance of transparent decision-making in security applications.
The integration of AI into endpoint security solutions is gaining momentum as a significant trend. Endpoint security, which focuses on protecting individual devices within a network, benefits from AI's ability to detect and respond to threats in real-time. AI algorithms analyze behavioral patterns on endpoints to identify potential malicious activities, offering a proactive defense against cyber threats. This trend underscores the importance of securing the endpoints, especially as remote work and the use of diverse devices become more prevalent in modern business environments.
Predictive analytics is emerging as a key trend in the AI in security market, enabling organizations to anticipate and prevent potential security incidents. By analyzing historical data and identifying patterns, AI systems can forecast potential threats and vulnerabilities, allowing proactive measures to be implemented. This trend aligns with the shift from reactive to proactive cybersecurity strategies, emphasizing the importance of staying ahead of cyber threats through predictive modeling and analytics.
The democratization of AI in security is becoming increasingly prominent. As AI technologies become more accessible and user-friendly, organizations of varying sizes and technical expertise can leverage AI-driven security solutions. This trend democratizes access to advanced security capabilities, enabling a broader range of businesses to enhance their cybersecurity posture. It reflects the industry's commitment to inclusivity, ensuring that organizations, regardless of their scale, can benefit from the advantages offered by AI in security.
The emergence of AI-driven deception technologies is reshaping defensive strategies in the security market. Deception technologies use AI to create deceptive elements within a network, such as fake credentials or servers, to mislead and identify potential attackers. By luring adversaries into these deceptive elements, organizations can detect and respond to threats more effectively. This trend represents a proactive and innovative approach to cybersecurity, leveraging AI to actively deceive and thwart potential attackers.
Finally, the increasing emphasis on AI ethics and responsible AI practices is a crucial trend in the AI in security market. As AI systems make critical security decisions, ensuring ethical behavior and avoiding biases become paramount. Organizations are incorporating ethical considerations into the development and deployment of AI-driven security solutions to align with societal values and regulatory expectations. This trend underscores the importance of responsible AI practices in maintaining trust and integrity within the security industry.
Report Attribute/Metric | Details |
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Market Opportunities | An architecture for zero trust that offers superior security |
Market Dynamics | Increasing adoption of cloud-based solutions and services and government support and investment |
The Artificial Intelligence (AI) in Security Market is projected to grow from USD 8.58 billion in 2024 to USD 20.44 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 11.46% during the forecast period (2024 - 2032). Additionally, the market size for artificial intelligence (AI) in security was valued at USD 7.58 billion in 2023.
Rising incidence of cyber dangers, rising government backing and investment, and rising acceptance of cloud-based products and services are the key market drivers enhancing the Artificial Intelligence (AI) in Security market growth.
Figure 1: Artificial Intelligence (AI) in Security Market Size, 2024-2032 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Growing cyber threats are fueling the market expansion
The number of cyberattacks is steadily increasing on a global scale. Cybercriminals attack endpoints, networks, data, and other I.T. resources. Infrastructure is very expensive for citizens, companies, and governments. Cybercriminals' primary motivations are political rivalry, monetary gain, reputational harm, global competitiveness, and the interest of radical religious organizations. The majority of cyberattacks try to make money. WannaCry, Petya, NotPetya, and BadRabbit are famous ransomware that has severely harmed businesses and government organizations.
According to the CISCO cybersecurity threat trends report 2021, 86% of organizations reported that at least one user had attempted to connect to a phishing website, 70% reported that users had been served malicious browser ads, 69% reported that there had been some uninvited crypto mining, and 50% reported that there had been ransomware-related activity. Thus, this factor drives the Artificial Intelligence (AI) in the Security market CAGR.
Cyber-attacks reduce corporate efficiency and can harm enterprises' sensitive data and vital I.T. infrastructure. Cybercrimes are happening more often due to the quick expansion of digital commerce across a wide range of businesses internationally. The growth in business data breaches or leaks stimulates the market for cybersecurity goods and services. Hence, protecting against cyber-attacks has become crucial for businesses to expand. Cybercriminals now use sophisticated methods to initiate ransomware attacks to extort tiny sums of money (a few hundred dollars per) in ransom. Cyberattacks that are automated and highly skilled are increasing as technology develops. Organizations worldwide are adopting cybersecurity solutions and services to prevent swarm cyberattacks due to the assaults' rising complexity. According to Microsoft, the United States was the victim of 46% of cyberattacks in 2020, more than any other nation. Thus, this aspect is anticipated to accelerate Artificial Intelligence (AI) in Security market revenue globally.
The Artificial Intelligence (AI) in Security Market segmentation, based on type, includes Services, Hardware [Network, Memory and Processor] and Software [Solution {Antivirus, Encryption, Network Security and Identity Access Management} and Platform]. The services segment dominated the market, accounting for 35% of market revenue. This category is anticipated to significantly contribute to the expansion of worldwide A.I. in the cybersecurity market. Artificial Intelligence (AI) in the Security market's expansion will be fueled by a strong need for application programming interfaces that include machine learning methods, sensor data, voice, and vision. The program has the particular ability to accurately and quickly identify anomalous activity.
Based on Deployment, the Artificial Intelligence (AI) in Security Market segmentation includes On-Cloud and On-Premise. The On-Cloud category generated the most income. Due to its affordability, cloud deployment is becoming increasingly popular among SMBs. Using cloud-based cybersecurity solutions, businesses may refrain from spending money on technical employees, Hardware, software, storage, and other associated expenses. SaaS-based security services are a unified manner that cloud-based platforms provide to safeguard corporate applications. These platforms are useful for businesses with constrained budgets for security expenditures.
Figure 2: Artificial Intelligence (AI) in Security Market, by Deployment, 2022 & 2032 (USD billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Based on Security type, the global Artificial Intelligence (AI) in the Security industry has been segmented into Network Security, Cloud Security and Endpoint Security. In 2022, the network security segment was predicted to contribute 37.4% of total revenue. The large sector shares result from artificial intelligence and machine learning algorithms gaining popularity. Companies are using cybersecurity to safeguard against and stop cyberattacks. Hardware might be a key growth accelerator to increase business productivity and operational scalability. The zero-trust approach, which demands that all users be approved and validated, has gained prominence. For instance, Cisco disclosed its intentions to provide a secure hardware approach through Cisco Security Hardware in June 2022. The corporation has prioritized zero trust and is implementing less invasive techniques for risk-based authentication.
Based on technology, Artificial Intelligence (A.I.) in Security Market data has been segmented into Machine Learning, Natural Language Processing and Context-Aware Computing. Machine learning held the largest segment share in 2022. With deep learning becoming increasingly prevalent across end-use sectors, machine learning technology will experience rapid development. Prominent businesses, including Google and IBM, have employed machine learning for threat identification and email filtering. Businesses are leveraging machine intelligence and deep learning to improve cybersecurity procedures. For instance, deep learning has established the standard for image identification across applications, such as autonomous cars and medical diagnosis.
Based on Vertical, the security industry's global Artificial Intelligence (AI) in the Security industry has been segmented into Government, BFSI, Healthcare, Manufacturing and Retail. BFSI held the largest segment share in 2022. The surge of innovations and technological advancements has brought a paradigm shift in how people use crowdfunding to make payments, and purchases, apply for loans and withdraw money. Also, banks and other financial organizations will probably rely on the Hardware's zero-trust approach to strengthen threat intelligence-based activities.
By Region, the study provides market insights into North America, Europe, Asia-Pacific and the Rest of the World. Asia Pacific Artificial Intelligence (AI) in the Security market accounted for USD 3.06 billion in 2022 and is expected to exhibit a significant CAGR growth during the study period. The main sources of income in the area are China, Japan, and South Korea. The Chinese government has begun acquiring specialized knowledge in machine learning and deep learning technologies and has committed around 48 percent of its money to artificial intelligence. The research and implementation of AI in governmental and security applications will get an estimated $1 billion in funding from South Korea. Moreover, China's Artificial Intelligence (AI) in Security held the largest market share. India's Artificial Intelligence (AI) in the Security market was the fastest-growing market in the Asia-Pacific region.
Further, the major countries studied in the market report are The U.S., Canada, German, France, the U.K., Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 3: ARTIFICIAL INTELLIGENCE (AI) IN SECURITY MARKET SHARE BY REGION 2022 (%)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Due to strict government regulations and growing cyber incidents in the automotive, healthcare, government, and I.T. & communications industries, Europe's Artificial Intelligence (AI) in the Security market is projected to provide profitable development prospects. For instance, the U.K. said in November 2022 that it would invest £16.5 billion (USD 21.8 billion) over four years on linked devices with AI and plenty of sensors. The administration is nevertheless confident that increased defense expenditure would strengthen its position in Europe as it works to counter challenges from Russia and other hostile nations in cyberspace. Stakeholders anticipate increased spending by the United Kingdom, France, Germany, and Russia to identify threats and unusual activities on their networks, prompting cybersecurity solution vendors to expand their A.I. portfolios. Further, Germany's Artificial Intelligence (AI) in the Security market held the largest market share. The U.K. Artificial Intelligence (AI) in the Security market was the fastest-growing market in the European Region.
The fastest-growing market for artificial intelligence (AI) in security is anticipated to be in North America. In the world, North America is the Region that has embraced cybersecurity solutions and services the earliest. Governments in the area have highlighted increased cyberattacks as the most important economic and national security concern. Companies in this area lead the globe in adopting cutting-edge infrastructures and technologies, including cloud computing, big data analytics, and IoT. Attacks on corporate applications across various sectors are significantly rising in frequency and sophitication.
Leading industry companies are making significant R&D investments to broaden their product offerings, which will spur further expansion of Artificial Intelligence (AI) in the Security segment. Important market developments include new product releases, contractual agreements, mergers and acquisitions, greater investments, and collaboration with other organizations. Market participants also engage in several strategic actions to increase their worldwide presence. Artificial Intelligence (AI) in the Security industry must offer products at reasonable prices to grow and thrive in a more cutthroat and competitive environment.
Local manufacturing to reduce operating costs is one of the primary business strategies manufacturers employ in the security industry's worldwide Artificial Intelligence (AI) to benefit customers and expand the market sector. Artificial Intelligence (AI) in the Security industry has recently provided some of medicine's most important benefits. Major players in the Artificial Intelligence (A.I.) in Security market, including Nvidia Corporation, Intel Corporation, Samsung Electronics, IBM Corporation, Google, Xilinx Inc., Micron Technologies Inc., Cylance Inc., LexisNexis Risk Solutions Inc., Securonix Inc., Acalvio Technologies Inc., Symantec Corporation, Darktrace, Sparkcognition Inc., Deep Instinct, SentinelOne, Feedzai, Vectra A.I. Inc., Zimperium Inc., Argus Cyber Security, Nozomi Networks Inc., Indegy Ltd, BitSight Technologies, and others, are attempting to increase market demand by investing in research and development operations.
The Samsung Group is a worldwide manufacturing corporation with its main office in Samsung Town, Seoul, South Korea. It is the largest South Korean chaebol (business conglomerate) and consists of multiple connected businesses, most unified under the Samsung brand. Samsung and Mastercard (U.S.) worked together to develop a biometric scanning payment card with an integrated fingerprint scanner in March 2021.
With its headquarters in Armonk, New York, and operations in more than 175 nations, the International Business Machines Corporation (IBM), sometimes known as Big Blue, is an American global technology company. IBM and Salesforce increased their collaboration in January 2018 by fusing technologies for cloud computing and artificial intelligence. IBM's client base in the market for cloud solutions is anticipated to grow as a result of this relationship.
September 2022 To deliver superior security and proactive safety to sensitive industries, including manufacturing, shipping, and healthcare, NVIDIA announced NVIDIA IGX, a platform for high-precision edge AI.
November 2022 Launched by IBM, QRadar XDR Connect is an open, cloud-native XDR solution. Advanced analytics, artificial intelligence (A.I.), automation, and linked workflows from XDR provide deeper insights, prompt action, and automated reactions to halt and delay the spread of threats.
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