Artificial Intelligence in Cybersecurity Market by Type, Component, Technology, Applications, Organization Size, Deployment, Industry

Description

List of Tables

The Artificial Intelligence in Cybersecurity Market was valued at USD 18.89 billion in 2023, expected to reach USD 23.25 billion in 2024, and is projected to grow at a CAGR of 24.18%, to USD 86.07 billion by 2030.

Artificial Intelligence (AI) in cybersecurity represents a rapidly evolving domain crucial for enhancing security measures against increasingly sophisticated cyber threats. The scope of AI in cybersecurity encompasses the use of machine learning algorithms, neural networks, and data analytics to predict, prevent, and respond to cyber incidents. As cyber threats become more complex, the necessity for AI in cybersecurity is underscored by its ability to process large datasets quickly, identify patterns, and provide actionable intelligence. Applications of AI range from intrusion detection systems, and user behavior analytics, to automating responses to threats. End-user industries include banking, financial services, and insurance (BFSI), healthcare, government, and IT sectors. Key growth factors for this market include the increasing frequency and complexity of cyber attacks, rising awareness among organizations about security protocols, and the advancements in AI technologies. According to reports, there's significant opportunity in deploying AI-driven security solutions in the cloud, as many businesses continue migrating their operations there. However, significant challenges include potential biases in AI systems, high implementation costs, and privacy concerns. Additionally, cybercriminals could also leverage AI to launch more sophisticated attacks, making adaptive security measures necessary. Innovation opportunities lie in developing AI systems with explainable and transparent decision-making processes to build trust and in creating collaborative AI networks for threat sharing among companies. Businesses should prioritize research in AI ethics and cyber-resilience strategies to address potential biases and strengthen defenses. The nature of the market is competitive but rapidly growing, with tech giants and startups alike investing in cutting-edge solutions. By focusing on scalable and interpretable AI technologies, businesses can enhance cybersecurity measures and mitigate potential risks effectively. Thus, capturing market growth requires balancing AI advancements with ethical considerations, ensuring robust and fair security solutions that adapt to evolving threats.

KEY MARKET STATISTICS
Base Year [2023]	USD 18.89 billion
Estimated Year [2024]	USD 23.25 billion
Forecast Year [2030]	USD 86.07 billion
CAGR (%)	24.18%

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Cybersecurity Market

The Artificial Intelligence in Cybersecurity Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

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

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Cybersecurity Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Cybersecurity Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Cybersecurity Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Cybersecurity Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Cybersecurity Market

A detailed market share analysis in the Artificial Intelligence in Cybersecurity Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Cybersecurity Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Cybersecurity Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Cybersecurity Market

A strategic analysis of the Artificial Intelligence in Cybersecurity Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

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 Systemes S.E., Deep Instinct, Inc., Feedzai - Consultadoria e Inovacao Tecnologica, 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:

Based on Type, market is studied across Application Security, Cloud Security, Endpoint Security, and Network Security.
Based on Component, market is studied across Hardware, Services, and Software Solutions.
Based on Technology, market is studied across Computer Vision, Machine Learning, and Natural Language Processing.
Based on Applications, market is studied across Data Loss Prevention, Identity & Access Management, Intrusion Detection/Prevention Systems, and Risk and Compliance Management.
Based on Organization Size, market is studied across Large Enterprises and Small & Medium Enterprises.
Based on Deployment, market is studied across On-Cloud and On-Premises.
Based on Industry, market is studied across 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, and Travel & Hospitality.
Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Product Code: MRR-43676CF42BC9

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Expanding adoption of Iot and growing incidents of cyber attacks
  - 5.1.1.2. Rapid growth in huge volumes of data in financial sector and need real-time threat detection
- 5.1.2. Restraints
  - 5.1.2.1. Concerns regarding technical complexities associated with AI in cybersecurity solutions
- 5.1.3. Opportunities
  - 5.1.3.1. Rising adoption of cloud-based security solutions among SMEs
  - 5.1.3.2. Introduction of advanced AI in cybersecurity solutions
- 5.1.4. Challenges
  - 5.1.4.1. Data privacy issues and various government regulations regarding the implementation of AI in cybersecurity
5.2. Market Segmentation Analysis
- 5.2.1. Type: Proliferating utilization of cloud security as more enterprises shift to cloud-based infrastructures.
- 5.2.2. Component: Growing importance of software solutions offering the flexibility and scalability required for effective threat management
- 5.2.3. Technology: Natural language processing (NLP) is pivotal for combating social engineering and maintaining regulatory compliance
- 5.2.4. Applications: Increasing applications of artificial intelligence (AI) in cybersecurity for intrusion detection/prevention systems
- 5.2.5. Organization Size: Burgeoning use of artificial intelligence (AI) cybersecurity for large enterprises owing to larger volumes of data and more complex infrastructure
- 5.2.6. Deployment: Significant adoption of on-premises approach as it provides higher level of security
- 5.2.7. Industry: Evolving utilization of artificial intelligence (AI) in the IT and telecommunications sector to safeguard vast amounts of digital data
5.3. Porter's Five Forces Analysis
- 5.3.1. Threat of New Entrants
- 5.3.2. Threat of Substitutes
- 5.3.3. Bargaining Power of Customers
- 5.3.4. Bargaining Power of Suppliers
- 5.3.5. Industry Rivalry
5.4. PESTLE Analysis
- 5.4.1. Political
- 5.4.2. Economic
- 5.4.3. Social
- 5.4.4. Technological
- 5.4.5. Legal
- 5.4.6. Environmental

6. Artificial Intelligence in Cybersecurity Market, by Type

6.1. Introduction
6.2. Application Security
6.3. Cloud Security
6.4. Endpoint Security
6.5. Network Security

7. Artificial Intelligence in Cybersecurity Market, by Component

7.1. Introduction
7.2. Hardware
7.3. Services
7.4. Software Solutions

8. Artificial Intelligence in Cybersecurity Market, by Technology

8.1. Introduction
8.2. Computer Vision
8.3. Machine Learning
8.4. Natural Language Processing

9. Artificial Intelligence in Cybersecurity Market, by Applications

9.1. Introduction
9.2. Data Loss Prevention
9.3. Identity & Access Management
9.4. Intrusion Detection/Prevention Systems
9.5. Risk and Compliance Management

10. Artificial Intelligence in Cybersecurity Market, by Organization Size

10.1. Introduction
10.2. Large Enterprises
10.3. Small & Medium Enterprises

11. Artificial Intelligence in Cybersecurity Market, by Deployment

11.1. Introduction
11.2. On-Cloud
11.3. On-Premises

12. Artificial Intelligence in Cybersecurity Market, by Industry

12.1. Introduction
12.2. Aerospace & Defense
12.3. Automotive & Transportation
12.4. Banking, Financial Services & Insurance
12.5. Building, Construction & Real Estate
12.6. Consumer Goods & Retail
12.7. Education
12.8. Energy & Utilities
12.9. Government & Public Sector
12.10. Healthcare & Life Sciences
12.11. Information Technology
12.12. Manufacturing
12.13. Media & Entertainment
12.14. Telecommunication
12.15. Travel & Hospitality

13. Americas Artificial Intelligence in Cybersecurity Market

13.1. Introduction
13.2. Argentina
13.3. Brazil
13.4. Canada
13.5. Mexico
13.6. United States

14. Asia-Pacific Artificial Intelligence in Cybersecurity Market

14.1. Introduction
14.2. Australia
14.3. China
14.4. India
14.5. Indonesia
14.6. Japan
14.7. Malaysia
14.8. Philippines
14.9. Singapore
14.10. South Korea
14.11. Taiwan
14.12. Thailand
14.13. Vietnam

15. Europe, Middle East & Africa Artificial Intelligence in Cybersecurity Market

15.1. Introduction
15.2. Denmark
15.3. Egypt
15.4. Finland
15.5. France
15.6. Germany
15.7. Israel
15.8. Italy
15.9. Netherlands
15.10. Nigeria
15.11. Norway
15.12. Poland
15.13. Qatar
15.14. Russia
15.15. Saudi Arabia
15.16. South Africa
15.17. Spain
15.18. Sweden
15.19. Switzerland
15.20. Turkey
15.21. United Arab Emirates
15.22. United Kingdom

16. Competitive Landscape

16.1. Market Share Analysis, 2023
16.2. FPNV Positioning Matrix, 2023
16.3. Competitive Scenario Analysis
- 16.3.1. HiddenLayer Partners with CVE Program as a Numbering Authority to Secure AI
- 16.3.2. Salvador Technologies Secures USD 6 million Funding For Cyber-Attack Recovery Expansion
- 16.3.3. Opal Security Scores USD 22M Investment for IAM Technology
- 16.3.4. Cisco Redefines Cybersecurity Defense with Powerful, Portfolio-Wide Artificial Intelligence Capabilities
- 16.3.5. Cyble Raises USD 30.2 million in Series B To Bolster AI-Driven Cybersecurity Solutions
- 16.3.6. US Government Unveils First AI Roadmap For Cybersecurity
- 16.3.7. Proofpoint Signs Definitive Agreement to Acquire Tessian
- 16.3.8. Darktrace Unveils New Cloud-Native Security Solution Using AI to Provide Real-Time Cyber Resilience for Cloud Environments
- 16.3.9. IBM Announces New AI-Powered Threat Detection and Response Services
- 16.3.10. Broadcom Partners With Google Cloud to bolster Gen AI-Powered Cybersecurity
- 16.3.11. CrowdStrike launches on Amazon Business, Brings AI-Native Cybersecurity to SMBs
- 16.3.12. Cisco Pays USD 28 Billion for Splunk to Bolster AI Cybersecurity
- 16.3.13. New Acquisition Powers AI-based Network Detection and Response and Open XDR Capabilities for WatchGuard
- 16.3.14. Mastercard Strengthens Customer Security With New AI Cyber Shield
16.4. Strategy Analysis & Recommendation

Companies Mentioned

1. Acalvio Technologies, Inc.
2. Advanced Micro Devices, Inc.
3. Amazon Web Services, Inc.
4. Argus Cyber Security Ltd.
5. BitSight Technologies, Inc.
6. BlackBerry Limited
7. Broadcom Inc.
8. Capgemini Services SAS
9. CHECK POINT SOFTWARE TECHNOLOGIES LTD
10. Cisco Systems, Inc.
11. Cloudflare, Inc.
12. CROWDSTRIKE HOLDINGS, INC
13. CYBERARK SOFTWARE LTD.
14. Darktrace Holdings Limited
15. Dassault Systemes S.E.
16. Deep Instinct, Inc.
17. Feedzai - Consultadoria e Inovacao Tecnologica, S.A.
18. Fortinet, Inc.
19. Gen Digital Inc.
20. Google LLC by Alphabet Inc.
21. Infosys Limited
22. Intel Corporation
23. International Business Machines Corporation
24. LexisNexis Risk Solutions, Inc.
25. Mastercard Incorporated
26. McAfee, LLC
27. Microsoft Corporation
28. Nozomi Networks Inc.
29. NVIDIA Corporation
30. Palo Alto Networks, Inc.
31. Proofpoint Inc.
32. RAPID7, INC.
33. Samsung Electronics Co., Ltd.
34. Securonix, Inc.
35. Sentinelone, Inc.
36. SparkCognition, Inc.
37. Telefonaktiebolaget LM Ericsson
38. Tenable, Inc.
39. Vectra AI, Inc.
40. WatchGuard Technologies, Inc.
41. Wipro Limited
42. Zimperium, Inc.