Global Artificial Intelligence (AI) in Cyber Security Market Research Report: Forecast (2022-2027)
Rapid technological advancements have brought multiple developments in Artificial Intelligence, with extensive application in different areas. Observing the increasing cases of cyber-attacks, robust security systems with the integration of top-notch artificial intelligence enable organizations to combat the threats, remain abreast with the cybercriminals, and respond with effective strategies.
The Global Artificial Intelligence (AI) in Cyber Security Market is expected to grow at a CAGR of around 22.60% during 2022-27, says MarkNtel Advisors. Businesses nowadays are more vulnerable than ever to cyber threats due to the surge in connected enterprises, devices, & applications, coupled with the mounting adoption of IoT. With this, there's a burgeoning need for cloud-based security solutions among SMEs and increased use of social media for business functions, which, in turn, is infusing the demand for AI-based security solutions and driving the global market.
AI & its other applications help users secure any system by giving them real-time alerts to alleviate the potential risks. It also aids in reducing various costs associated with business operations, manufacturing & development, monitoring, automation, etc. Moreover, with the implementation of machine learning with AI, threats & malware can not only be detected but also dynamically restrained. Hence, these characteristics of AI are projected to create lucrative growth opportunities for the global market during the forecasted period.
Report Coverage | Details |
---|---|
Study Period | Historical Data: 2017-20 |
Base Year: 2021 | |
Forecast Period: 2022-27 | |
CAGR(2022-2027) | 22.60% |
Regions Covered | North America: USA, Canada, Mexico |
Europe: Germany, UK, France, Italy, Spain | |
Asia-Pacific: China, India, Japan, Australia | |
South America: Brazil, and Argentina | |
Middle East & Africa: UAE, Saudi Arabia, South Africa | |
Key Companies Profiled | BAE Systems plc, RSA Security LLC, IBM Corporation, Palo Alto Networks Inc., Fortinet Inc., FireEye Inc., Check Point Software Technologies Ltd., Cisco Systems Inc., Juniper Network Inc., Acalvio Technologies Inc., Darktrace Limited, Amazon Web Services Inc., NVIDIA Corporation, Cylance Inc., Securonix Inc. |
Unit Denominations | USD Million/Billion |
Also, since AI provides limited access to critical information, it is deemed a prominent data security tool by most companies, further states the research report, “Global Artificial Intelligence (AI) in Cyber Security Market Analysis, 2022.”
Covid-19 Positively Influenced the Global Artificial Intelligence (AI) in Cyber Security Market
Market Segmentation
Based on Security Type, the Global Artificial Intelligence (AI) in Cyber Security Market segments into:
Of them all, the demand for AI in Cloud Security is projected to witness the fastest growth during 2022-27. It owes principally to the growing number of large enterprises using cloud platforms for data storage that significantly exposes them to cyber threats.
Since cyberattacks severely hamper organizations' critical data with innovative approaches to seeding malware & stealing, the need for highly efficient Artificial Intelligence applications in cloud security is soaring extensively. Moreover, with rapid advancements in AI & cloud systems with predictive security, the overall market growth in the coming years would tremendously benefit organizations by reducing cyberattacks.
On the other hand, Network Security held the largest revenue share in the global market in recent years, and the same trend is likely to be followed in the forecast period. It owes to the swift upsurge in the adoption & awareness of wireless networks among various organizations.
The increasing dependency on wireless networks for data transfer has played a crucial role in inviting cyberattacks. Yet, with an improved network security system, organizations could reduce these risks & data breaches. Hence, the market has observed extensive adoption of Artificial Intelligence in Cyber Security for the Network Security segment.
Based on Technology, the Global Artificial Intelligence (AI) in Cyber Security Market segments into:
Amongst all technologies, Machine Learning (ML) holds the largest market share, primarily due to its various advantages like quicker prediction, analysis, & processing of information from unlimited sources that enable organizations to study & interpret user behavior. Due to the ability of machine learning to secure businesses by efficiently managing threat-learning algorithms using a sizeable amount of data, it is used widely in line with AI in cyber security systems.
Using ML, cyber security systems can identify attack patterns & learn from them to counter such attacks & their dynamic behavior. ML’s capability to collect, process, & manage big data that originate from different sources helps companies forecast cyber threats and analyze real-time user behavior patterns to protect the network from potential cyber threats.
Moreover, rapid advancements in machine learning, coupled with significant R&D investments by both the government & leading market players, are expected to lead to the fastest-growing demand for machine learning technology over the coming years, states MarkNtel Advisors in their research report, “Global Artificial Intelligence (AI) in Cyber Security Market Analysis, 2022.”
Regional Landscape
North America to Dominate the Global Artificial Intelligence (AI) in Cyber Security Market, Asia-Pacific to Observe the Fastest Market Growth through 2027
North America is the early adopter of AI in cyber security across government agencies, banks, financial institutions, particularly in the US. The regional market is driven prominently by the extensive presence & participation of leading players in the region that offer technologically improved solutions & services to all sectors. Additionally, the rapidly expanding awareness about the benefits of having robust security systems, especially across government organizations, shall further drive the market and generate lucrative growth opportunities for the leading players in the years to come.
On the other hand, Asia-Pacific is expected to display the fastest market growth through 2027, principally due to the mounting cyberattacks in the region owing to countries like China & India that have swiftly adopted digitalization in their most industries.
The governments of these countries are willing to implement robust policies & action plans to minimize the impact of cyberattacks across Asia-Pacific. Besides, other countries in the region are also significantly investing in cyber security to combat advanced threats.
For Instance: In March 2020, Japan's MoD (Ministry of Defense) announced its investment of above $230 million in developing Artificial Intelligence-based tools to combat cyberattacks. Such massive investments would provide a tremendous boost to the overall AI in Cyber Security Market in the coming years.
Market Dynamics:
Key Drivers
Growth Restraints
Key Questions Answered in the Market Research Report:
Frequently Asked Questions
A. The Global Artificial Intelligence (AI) in Cyber Security Market is projected to witness around 22.6% CAGR during 2022-27.
A. Network Security is projected to continue dominating the market with the largest share during 2022-27.
A. The most prominent factor projected to drive the Global Artificial Intelligence (AI) in Cyber Security Market is the increasing vulnerability of enterprises to cyber threats due to their mounting adoption of cloud-based solutions.
A. Amidst the crisis, due to the increased prevalence of Work-from-Home, the demand for AI in cyber security significantly increased since organizations became vulnerable to various security threats owing to their reliance on remote access systems. As a result, several market players strategized accordingly by making remote access systems sufficiently resilient to confront cyber threats. Hence, companies continuously implementing key security controls that often get neglected and monitoring emails & active directories for unusual logins would significantly augment the demand for AI in cybersecurity systems over the forecast years.