Artificial Intelligence in Cybersecurity Market by Type (Application Security, Cloud Security, Endpoint Security), Component (Hardware, Services, Software Solutions), Technology, Applications, Organization Size, Deployment, Industry - Global Forecast 2024

Artificial Intelligence in Cybersecurity Market by Type (Application Security, Cloud Security, Endpoint Security), Component (Hardware, Services, Software Solutions), Technology, Applications, Organization Size, Deployment, Industry - Global Forecast 2024-2030

The Artificial Intelligence in Cybersecurity Market size was estimated at USD 18.89 billion in 2023 and expected to reach USD 23.25 billion in 2024, at a CAGR 24.18% to reach USD 86.07 billion by 2030.

Artificial intelligence (AI) in cybersecurity refers to the use of machine learning algorithms, natural language processing, and other AI methodologies to enhance cyber defense systems. Integrating AI into cybersecurity allows for automating complex processes for detecting, repelling, and recovering from cyber threats. This includes real-time threat detection, pattern recognition, and predictive analytics to identify potential vulnerabilities before they are exploited. More connected devices and flexible work policies increase vulnerability points, prompting stronger AI cyber defenses and stringent data protection laws, necessitating more advanced security solutions and augmenting the demand for AI in cybersecurity. However, concern regarding technical issues associated with AI in cybersecurity solutions may impede the market adoption. Nevertheless, developing autonomous security systems, AI-driven security for edge computing, machine learning models for predicting new malware, and integrating AI with blockchain for enhanced data integrity may create potential opportunities for market growth.

Regional Insights

In the Americas, the market for AI in cybersecurity is driven by a sophisticated digital infrastructure and high cyber threat exposure. Customers in this region exhibit strong awareness and are proactive in adopting innovative AI-powered solutions to mitigate risks. Recently, there has been significant investment in cybersecurity AI, with companies and government agencies filing for numerous patents, reflecting a robust R&D environment with the U.S. governmental initiatives, including the Cybersecurity National Action Plan (CNAP) and private sector investments, underscoring the priority given to AI in combating cyber threats. The countries in the Asia-Pacific region are AI technology exporters and have vast markets for cybersecurity solutions. The Cybersecurity Law imposes strict requirements, creating customer demand for compliant AI security products, and reflects the focus on data sovereignty and protection. Furthermore, investments are surging in local startups focusing on AI in cybersecurity, with a particular emphasis on affordable and scalable solutions suitable for businesses and consumers in Asia-Pacific. The EU's alignment under regulations such as the General Data Protection Regulation (GDPR) provides a common ground for AI-driven cybersecurity solutions focused on data protection and privacy. The European Union Agency for Cybersecurity (ENISA) plays a significant role in nurturing AI security through research and guidelines to harmonize practices across Europe. The Middle East is witnessing an increasing need for AI in cybersecurity as digital transformation initiatives surge. Analysis of customer purchasing behavior indicates a growing inclination toward AI solutions tailored to prevent financial fraud and protect critical energy infrastructure. Initiatives across the continent focus on capacity building and awareness, contributing to gradual market development.

Market Insights

Market Dynamics

The market dynamics represent an ever-changing landscape of the Artificial Intelligence in Cybersecurity Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

Market Drivers

• Expanding adoption of Iot and growing incidents of cyber attacks
• Rapid growth in huge volumes of data in financial sector and need real-time threat detection

Market Restraints

• Concerns regarding technical complexities associated with AI in cybersecurity solutions

Market Opportunities

• Rising adoption of cloud-based security solutions among SMEs
• Introduction of advanced AI in cybersecurity solutions

Market Challenges

• Data privacy issues and various government regulations regarding the implementation of AI in cybersecurity

Market Segmentation Analysis

• Type: Proliferating utilization of cloud security as more enterprises shift to cloud-based infrastructures.
• Component: Growing importance of software solutions offering the flexibility and scalability required for effective threat management
• Technology: Natural language processing (NLP) is pivotal for combating social engineering and maintaining regulatory compliance
• Applications: Increasing applications of artificial intelligence (AI) in cybersecurity for intrusion detection/prevention systems
• Organization Size: Burgeoning use of artificial intelligence (AI) cybersecurity for large enterprises owing to larger volumes of data and more complex infrastructure
• Deployment: Significant adoption of on-premises approach as it provides higher level of security
• Industry: Evolving utilization of artificial intelligence (AI) in the IT and telecommunications sector to safeguard vast amounts of digital data

Market Disruption Analysis

• Porter’s Five Forces Analysis
• Value Chain & Critical Path Analysis
• Pricing Analysis
• Technology Analysis
• Patent Analysis
• Trade Analysis
• Regulatory Framework Analysis

FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Artificial Intelligence in Cybersecurity Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Artificial Intelligence in Cybersecurity Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments

HiddenLayer Partners with CVE Program as a Numbering Authority to Secure AI

HiddenLayer announced its strategic partnership with the Common Vulnerabilities and Exposures (CVE) Program, embarking on a mission to bolster artificial intelligence (AI) security. By becoming a CVE Numbering Authority (CNA), HiddenLayer can assign CVE identifiers to security vulnerabilities, specifically within the AI domain. This collaboration underscores the recognition of AI's expanding role in cybersecurity and the need for standardizing vulnerability identification to protect AI systems.

Salvador Technologies Secures USD 6 million Funding For Cyber-Attack Recovery Expansion

Salvador Technologies has successfully raised USD 6 million to expand its endeavors in cyber-attack recovery solutions. This substantial funding is geared towards enhancing Salvador's unique approach to cybersecurity, which emphasizes rapid recovery from cyber incidents rather than solely focusing on prevention. By leveraging state-of-the-art artificial intelligence (AI) technologies, Salvador Technologies aims to minimize downtime and ensure business continuity for organizations facing cyber threats.

Opal Security Scores USD 22M Investment for IAM Technology

Opal Security raised USD 22 million in a funding endeavor aimed at enhancing its cybersecurity offerings. This financial injection underscores the growing recognition of artificial intelligence's (AI) 's pivotal role in bolstering cybersecurity measures. The investment enables Opal Security to refine its IAM solutions, empowering businesses to navigate the complex security landscape more effectively.

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Artificial Intelligence in Cybersecurity Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Cybersecurity Market, highlighting leading vendors and their innovative profiles. These include Acalvio Technologies, Inc., Advanced Micro Devices, Inc., Amazon Web Services, Inc., Argus Cyber Security Ltd., BitSight Technologies, Inc., BlackBerry Limited, Broadcom Inc., Capgemini Services SAS, CHECK POINT SOFTWARE TECHNOLOGIES LTD, Cisco Systems, Inc., Cloudflare, Inc., CROWDSTRIKE HOLDINGS, INC, CYBERARK SOFTWARE LTD., Darktrace Holdings Limited, Dassault Systèmes S.E., Deep Instinct, Inc., Feedzai – Consultadoria e Inovação Tecnológica, S.A., Fortinet, Inc., Gen Digital Inc., Google LLC by Alphabet Inc., Infosys Limited, Intel Corporation, International Business Machines Corporation, LexisNexis Risk Solutions, Inc., Mastercard Incorporated, McAfee, LLC, Microsoft Corporation, Nozomi Networks Inc., NVIDIA Corporation, Palo Alto Networks, Inc., Proofpoint Inc., RAPID7, INC., Samsung Electronics Co., Ltd., Securonix, Inc., Sentinelone, Inc., SparkCognition, Inc., Telefonaktiebolaget LM Ericsson, Tenable, Inc., Vectra AI, Inc., WatchGuard Technologies, Inc., Wipro Limited, and Zimperium, Inc..

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Cybersecurity Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Type
• Application Security
• Cloud Security
• Endpoint Security
• Network Security
• Component
• Hardware
• Services
• Software Solutions
• Technology
• Computer Vision
• Machine Learning
• Natural Language Processing
• Applications
• Data Loss Prevention
• Identity & Access Management
• Intrusion Detection/Prevention Systems
• Risk and Compliance Management
• Organization Size
• Large Enterprises
• Small & Medium Enterprises
• Deployment
• On-Cloud
• On-Premises
• Industry
• Aerospace & Defense
• Automotive & Transportation
• Banking, Financial Services & Insurance
• Building, Construction & Real Estate
• Consumer Goods & Retail
• Education
• Energy & Utilities
• Government & Public Sector
• Healthcare & Life Sciences
• Information Technology
• Manufacturing
• Media & Entertainment
• Telecommunication
• Travel & Hospitality
• Region
• Americas
• Argentina
• Brazil
• Canada
• Mexico
• United States
• California
• Florida
• Illinois
• New York
• Ohio
• Pennsylvania
• Texas
• Asia-Pacific
• Australia
• China
• India
• Indonesia
• Japan
• Malaysia
• Philippines
• Singapore
• South Korea
• Taiwan
• Thailand
• Vietnam
• Europe, Middle East & Africa
• Denmark
• Egypt
• Finland
• France
• Germany
• Israel
• Italy
• Netherlands
• Nigeria
• Norway
• Poland
• Qatar
• Russia
• Saudi Arabia
• South Africa
• Spain
• Sweden
• Switzerland
• Turkey
• United Arab Emirates
• United Kingdom

Please Note: PDF & Excel + Online Access - 1 Year