Global Artificial Intelligence in Cybersecurity Market Insights Forecasts to 2032

• The Global Artificial Intelligence in Cybersecurity Market Size was valued at USD 15.25 billion in 2022.
• The market is growing at a CAGR of 20.3% from 2022 to 2032
• The global artificial intelligence in cybersecurity market is expected to reach USD 96.81 billion by 2032
• Europe is expected to grow the fastest during the forecast period

 

 

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The Global Artificial Intelligence in Cybersecurity Market Size is expected to reach USD 96.81 billion by 2032, at a CAGR of 20.3% during the forecast period 2022 to 2032.

 

Market Overview

Artificial intelligence is revolutionizing the field of cybersecurity by enhancing the detection, prevention, and response to cyber threats. AI-powered systems analyze vast amounts of data, identify patterns, and detect anomalies to swiftly identify potential breaches or attacks. Machine learning algorithms enable AI models to learn from past incidents and continuously adapt to evolving threats. AI also plays a vital role in automating security processes, reducing response times, and augmenting human capabilities. It enables proactive threat hunting, threat intelligence analysis, and behavior-based authentication. However, the increased reliance on AI also introduces new challenges, such as adversarial attacks and ethical considerations. As AI continues to advance, integrating it into cybersecurity strategies will be crucial for organizations to stay ahead of sophisticated threats and safeguard critical assets.

 

Report Coverage

This research report categorizes the market for artificial intelligence in cybersecurity market based on various segments and regions and forecasts revenue growth and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the artificial intelligence in cybersecurity market. Recent market developments and competitive strategies such as expansion, product launch, and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segments of the artificial intelligence in cybersecurity market.

 

Driving Factors

The growth of the artificial intelligence market in cybersecurity is driven by several key factors. The escalating complexity and volume of cyber threats require advanced technologies like AI to detect and respond to attacks effectively. The increasing adoption of cloud-based infrastructure and the Internet of Things (IoT) expands the attack surface, necessitating AI-driven solutions for real-time threat monitoring and mitigation. And the shortage of skilled cybersecurity professionals has led organizations to turn to AI-powered systems that can automate routine tasks and augment human capabilities. Moreover, the integration of AI with existing security tools enables enhanced threat intelligence, proactive defense, and faster incident response. Overall, regulatory requirements and compliance standards push organizations to adopt AI-driven solutions to meet stringent security and privacy mandates. These drivers collectively fuel the growth and demand for AI in the cybersecurity market.

 

Restraining Factors

While artificial intelligence holds immense potential in the cybersecurity market, there are several restraints that need to be considered. One significant challenge is the potential for adversarial attacks, where sophisticated attackers exploit vulnerabilities in AI systems. The black-box nature of AI algorithms also raises concerns regarding transparency and accountability. Additionally, the scarcity of high-quality training data and the need for continuous model updates pose practical limitations. Ethical considerations, such as bias in AI algorithms and privacy concerns, also present significant restraints. Lastly, the high cost of implementing and maintaining AI-powered cybersecurity solutions can be a barrier for smaller organizations with limited resources, hindering widespread adoption.

 

Market Segmentation

• In 2022, the network security segment accounted for around 35.3% market share

On the basis of the type, the global artificial intelligence in cybersecurity market is segmented into network security, endpoint security, application security, and cloud security. The network security segment has emerged as the frontrunner, holding the largest market share in the cybersecurity industry. This dominance can be attributed to several factors. With the increasing connectivity and digitization of businesses, networks have become the primary targets for cyber-attacks. As a result, organizations heavily invest in network security solutions to safeguard their critical assets and sensitive data. Additionally, the rising adoption of cloud-based services, remote work arrangements, and Internet of Things (IoT) devices has expanded the attack surface, further emphasizing the need for robust network security measures. Furthermore, the network serves as a crucial entry point for cyber threats, making it a top priority for organizations in terms of protection and risk mitigation. Overall, the network security segment's leading market share reflects the growing importance placed on securing network infrastructure in today's cyber landscape.

 

• In 2022, the machine learning segment dominated with more than 42.6% market share

Based on the type of technology, the global artificial intelligence in cybersecurity market is segmented into machine learning, natural language processing, and context-aware computing. The machine learning segment has emerged as the dominant force, holding the largest market share in the field of cybersecurity. Several key factors contribute to this significant market presence. Machine learning algorithms offer advanced capabilities in detecting and responding to complex and evolving cyber threats. These algorithms can analyze vast amounts of data, identify patterns, and detect anomalies with high accuracy, enabling organizations to effectively mitigate risks. Machine learning techniques empower cybersecurity systems to continuously learn from new data and adapt to changing threat landscapes, enhancing their effectiveness over time. Furthermore, machine learning enables the automation of security processes, reducing response times and augmenting human capabilities. This segment's leading market share also reflects the growing recognition of the potential of machine learning in addressing cybersecurity challenges and the increasing adoption of machine learning-powered solutions by organizations across various sectors to bolster their security posture.

 

Regional Segment Analysis of the Artificial Intelligence in Cybersecurity Market

• North America (U.S., Canada, Mexico) 
• Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
• Asia-Pacific (China, Japan, India, Rest of APAC)
• South America (Brazil and the Rest of South America) 
• The Middle East and Africa (UAE, South Africa, Rest of MEA)

 

North America dominated the market with more than 34.5% revenue share in 2022.

 

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Based on region, North America has emerged as the dominant player in the artificial intelligence cybersecurity market, holding the largest market share. There are several factors contributing to this leadership position. North America is home to numerous technology giants, leading cybersecurity companies, and research institutions, fostering a conducive ecosystem for AI advancements. The region has witnessed significant investments in AI technologies, infrastructure, and talent, driving innovation in cybersecurity. Additionally, North American organizations face a high frequency of cyber threats, prompting strong demand for robust security solutions. The presence of stringent data protection regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), further drives the adoption of AI-powered cybersecurity measures. Furthermore, the region's strong digital infrastructure and early adoption of cloud technologies provide a solid foundation for integrating AI into cybersecurity strategies. Collectively, these factors have propelled North America to the forefront of the AI cybersecurity market.

 

Recent Developments

• In August 2022, Microsoft has officially launched Microsoft Defender Experts for Hunting, enabling proactive threat hunting. According to Microsoft Security, they have successfully thwarted over 35.7 billion phishing and malicious emails as well as over 9.6 billion malware threats in 2021.

 

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the global artificial intelligence in cybersecurity market along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

 

List of Companies:

• Acalvio Technologies, Inc.
• Amazon Web Services, Inc.
• Cylance Inc.
• Darktrace
• FireEye, Inc.
• Fortinet, Inc.
• IBM Corporation
• Intel Corporation
• LexisNexis
• Micron Technology, Inc.

 

Key Target Audience

• Market Players
• Investors
• End-Users
• Government Authorities 
• Consulting and Research Firm
• Venture Capitalists
• Value-Added Resellers (VARs)

 

Market Segment

This study forecasts revenue at global, regional, and country levels from 2019 to 2032. Spherical Insights has segmented the global artificial intelligence in cybersecurity market based on the below-mentioned segments:

 

Artificial Intelligence in Cybersecurity Market, By Type

• Network Security
• Endpoint Security
• Application Security
• Cloud Security

 

Artificial Intelligence in Cybersecurity Market, By Offering

• Hardware
• Software
• Services

 

Artificial Intelligence in Cybersecurity Market, By Technology

• Machine Learning
• Natural Language Processing
• Context-Aware Computing

 

Artificial Intelligence in Cybersecurity Market, By Application

• Identity & Access Management
• Risk & Compliance Management
• Data Loss Prevention
• Fraud Detection/Anti-Fraud
• Others

 

Artificial Intelligence in Cybersecurity Market, By Vertical

• BFSI
• Retail
• Government & Defense
• Manufacturing
• Healthcare
• Automotive & Transportation
• Others

 

Artificial Intelligence in Cybersecurity Market, Regional Analysis

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Rest of South America
• Middle East & Africa
  • UAE
  • Saudi Arabia
  • Qatar
  • South Africa
  • Rest of Middle East & Africa