세계의 보안 분야 인공지능 시장 : 부문별 예측(2025-2030년)

The Artificial Intelligence in Security Market was valued at USD 27.11 billion in 2023, expected to reach USD 33.41 billion in 2024, and is projected to grow at a CAGR of 23.55%, to USD 119.22 billion by 2030.

The scope of artificial intelligence (AI) in security encompasses technologies and systems that enhance the protection of digital and physical assets through intelligent data processing, threat detection, and response automation. This domain is increasingly crucial due to the rising sophistication of cyber threats and the expansion of network infrastructures susceptible to attacks. The necessity of AI in security stems from its ability to analyze vast data sets, detect anomalies, and execute preemptive actions faster and with higher accuracy than traditional security measures. Applications are diverse, including malware detection, threat intelligence, identity and access management, and automated incident response. Key end-use sectors are banking, financial services, and insurance (BFSI), government, healthcare, and critical infrastructures like energy and transportation.

Market growth is driven by the increasing digitization of businesses, growing incidents of cybercrime, and the need for compliance with stringent data protection regulations. Recent advancements in machine learning algorithms and natural language processing further fuel innovation possibilities, enabling more sophisticated threat detection and response capabilities. Opportunities lie in developing AI-driven security solutions tailored for IoT devices and cloud environments, which face specific vulnerabilities. However, growth is hampered by challenges such as high initial costs, a shortage of skilled professionals, and concerns over data privacy and ethical AI use.

Innovation can significantly benefit from focusing on AI techniques for predictive analytics and decentralized/edge-based security solutions to reduce latency and improve efficiency. The market for AI in security is dynamic, evolving alongside technological advancements and cyber threat landscapes. Companies should invest in partnerships and collaborative ecosystems to foster innovation while ensuring real-world applicability. Transparency in AI applications and ongoing development of frameworks for ethical AI usage will be crucial to overcoming trust barriers. Engaging with AI research communities and participating in public-private sector collaborations could provide businesses with cutting-edge insights and competitive advantages in AI security solutions.

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

The Artificial Intelligence in Security 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
  • Rising incidences of cyber attacks worldwide
  • Increase data volume and for enhanced data security solutions
  • Demand for real-time analysis of data
• Market Restraints
  • High cost of implementation and maintenance of AI security systems
• Market Opportunities
  • Technological advancements in AI-based security systems to enhance threat detection
  • Integration with predictive analytics and the need for cloud security solutions
• Market Challenges
  • Complexity in integrating with IT infrastructure and data breach concerns

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

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Security 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 Security Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Security 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 Security Market

A detailed market share analysis in the Artificial Intelligence in Security 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 Security Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Security 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 Security Market

A strategic analysis of the Artificial Intelligence in Security 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 Security Market, highlighting leading vendors and their innovative profiles. These include Acalvio Technologies, Inc., Amazon Web Services, Inc., Balbix, Inc., BlackBerry Limited, Check Point Software Technologies Ltd., Cisco Systems, Inc., CrowdStrike, Inc., Darktrace Holdings Limited, Google LLC by Alphabet Inc., Intel Corporation, International Business Machines Corporation, LexisNexis Risk Solutions, Micron Technology, Inc., Microsoft Corporation, Musarubra US LLC, NortonLifeLock Inc., NVIDIA Corporation, Palo Alto Networks, Inc., Securonix, Inc., SenseOn Tech Limited, ServiceNow, Inc., Sift Science, Inc., SparkCognition, Inc., and Vectra AI, Inc..

Market Segmentation & Coverage

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

• Based on Security Type, market is studied across Application Security, Cloud Security, and Network Security.
• Based on Deployment, market is studied across On-Cloud and On-Premises.
• Based on End-user Industry, market is studied across Automotive & Transportation, BFSI, Defense, Government, Healthcare, Manufacturing, and Retail.
• 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?

Table of Contents

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. Rising incidences of cyber attacks worldwide
    • 5.1.1.2. Increase data volume and for enhanced data security solutions
    • 5.1.1.3. Demand for real-time analysis of data
  • 5.1.2. Restraints
    • 5.1.2.1. High cost of implementation and maintenance of AI security systems
  • 5.1.3. Opportunities
    • 5.1.3.1. Technological advancements in AI-based security systems to enhance threat detection
    • 5.1.3.2. Integration with predictive analytics and the need for cloud security solutions
  • 5.1.4. Challenges
    • 5.1.4.1. Complexity in integrating with IT infrastructure and data breach concerns
• 5.2. Market Segmentation Analysis
• 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 Security Market, by Security Type

• 6.1. Introduction
• 6.2. Application Security
• 6.3. Cloud Security
• 6.4. Network Security

7. Artificial Intelligence in Security Market, by Deployment

• 7.1. Introduction
• 7.2. On-Cloud
• 7.3. On-Premises

8. Artificial Intelligence in Security Market, by End-user Industry

• 8.1. Introduction
• 8.2. Automotive & Transportation
• 8.3. BFSI
• 8.4. Defense
• 8.5. Government
• 8.6. Healthcare
• 8.7. Manufacturing
• 8.8. Retail

9. Americas Artificial Intelligence in Security Market

• 9.1. Introduction
• 9.2. Argentina
• 9.3. Brazil
• 9.4. Canada
• 9.5. Mexico
• 9.6. United States

10. Asia-Pacific Artificial Intelligence in Security Market

• 10.1. Introduction
• 10.2. Australia
• 10.3. China
• 10.4. India
• 10.5. Indonesia
• 10.6. Japan
• 10.7. Malaysia
• 10.8. Philippines
• 10.9. Singapore
• 10.10. South Korea
• 10.11. Taiwan
• 10.12. Thailand
• 10.13. Vietnam

11. Europe, Middle East & Africa Artificial Intelligence in Security Market

• 11.1. Introduction
• 11.2. Denmark
• 11.3. Egypt
• 11.4. Finland
• 11.5. France
• 11.6. Germany
• 11.7. Israel
• 11.8. Italy
• 11.9. Netherlands
• 11.10. Nigeria
• 11.11. Norway
• 11.12. Poland
• 11.13. Qatar
• 11.14. Russia
• 11.15. Saudi Arabia
• 11.16. South Africa
• 11.17. Spain
• 11.18. Sweden
• 11.19. Switzerland
• 11.20. Turkey
• 11.21. United Arab Emirates
• 11.22. United Kingdom

12. Competitive Landscape

• 12.1. Market Share Analysis, 2023
• 12.2. FPNV Positioning Matrix, 2023
• 12.3. Competitive Scenario Analysis
• 12.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Acalvio Technologies, Inc.
• 2. Amazon Web Services, Inc.
• 3. Balbix, Inc.
• 4. BlackBerry Limited
• 5. Check Point Software Technologies Ltd.
• 6. Cisco Systems, Inc.
• 7. CrowdStrike, Inc.
• 8. Darktrace Holdings Limited
• 9. Google LLC by Alphabet Inc.
• 10. Intel Corporation
• 11. International Business Machines Corporation
• 12. LexisNexis Risk Solutions
• 13. Micron Technology, Inc.
• 14. Microsoft Corporation
• 15. Musarubra US LLC
• 16. NortonLifeLock Inc.
• 17. NVIDIA Corporation
• 18. Palo Alto Networks, Inc.
• 19. Securonix, Inc.
• 20. SenseOn Tech Limited
• 21. ServiceNow, Inc.
• 22. Sift Science, Inc.
• 23. SparkCognition, Inc.
• 24. Vectra AI, Inc.