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The Worldwide Artificial Intelligence in Cybersecurity Industry is Expected to Reach $66.2 Billion by 2029

·7-min read
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Dublin, July 21, 2022 (GLOBE NEWSWIRE) -- The "Artificial Intelligence in Cybersecurity Market by Technology, Security, Application, Industry, and Region - Global Forecasts to 2029" report has been added to ResearchAndMarkets.com's offering.

This research report provides in-depth analysis of AI in cybersecurity market in five major geographies and emphasizes on the current market trends, market size, market share, recent developments, and forecast till 2029.

The Artificial Intelligence in Cybersecurity Market is expected to reach $66.22 billion, at a CAGR of 24.2% during the forecast period of 2022 to 2029

The growth in this market is driven by factors such as the increasing demand for advanced cyber security solutions, the frequency and complexity of cyber threats & services, and the rising demand for AI-based cybersecurity platforms in the banking sector. Furthermore, the growing need for AI-based cybersecurity solutions among small and medium-sized enterprises is creating new growth opportunities for vendors in the AI in cybersecurity market. However, factors such as the vulnerability issues associated with IoT devices and misconceptions, and a lack of knowledge regarding AI in cybersecurity solutions pose serious challenges to the adoption of AI in cybersecurity solutions, thereby hampering the market's growth.

The study offers a comprehensive analysis of the global artificial intelligence in the cybersecurity market based on component, technology, security, applications, deployment, industry vertical, and geography. The AI intelligence in cybersecurity market is segmented by component, security time, application, deployment mode, end-use industry and geography. The study also evaluates industry competitors and analyses the market at the country level.

Some of the key players operating in the AI in cybersecurity market are

Amazon Web Services, Inc. (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), FireEye, Inc. (U.S.), Palo Alto Networks, Inc. (U.S.), Juniper Networks, Inc. (U.S.), Fortinet, Inc. (U.S.), Cisco Systems, Inc. (U.S.), Micron Technology, Inc. (U.S.), Check Point Software Technologies Ltd. (U.S.), Imperva, Inc. (U.S.), McAfee LLC (U.S.), LogRhythm, Inc. (U.S.), Sophos Ltd. (U.S.), NortonLifeLock Inc. (U.S.), and CrowdStrike Holdings, Inc. (U.S.), among others

Key questions answered in the report-

  • Which are the high growth market segments in terms of the component, technology, security, application, deployment, industry verticals, and countries?

  • What is the historical market for AI in cybersecurity across the globe?

  • What are the market forecasts and estimates for the period of 2022-2029?

  • What are the major drivers, restraints, opportunities, and trends in the global AI in cybersecurity market?

  • Who are the major players in the global AI in cybersecurity market, and what share of the market do they hold?

  • How is the competitive landscape?

  • What are the recent developments in the global AI in cybersecurity market?

  • What are the different strategies adopted by the major players in the global AI in cybersecurity market?

  • What are the geographical trends and high growth countries?

  • Who are the local emerging players in the global AI in cybersecurity market and how do they compete with the other players?

Key Topics Covered:

1. Introduction

2. Research Methodology

3. Executive Summary

4. Market Insights
4.1. Introduction
4.2. Market Dynamics
4.2.1. Global AI in Cybersecurity Market: Impact Analysis of Market Drivers (2022-2029)
4.2.1.1. Increasing Demand for Advanced Cybersecurity Solutions
4.2.1.2. Growing Significance of AI-Based Cybersecurity Solutions in the Banking Sector
4.2.1.3. Increasing Frequency and Complexity of Cyberattacks
4.2.2. Global AI in Cybersecurity Market: Impact Analysis of Market Restraints (2022-2029)
4.2.2.1. Lack of Skilled AI Professionals
4.2.2.2. AI in Cybersecurity Perceived as an Incomplete Security Solution
4.2.3. Global AI in Cybersecurity Market: Impact Analysis of Market Opportunities (2022-2029)
4.2.3.1. Growing Need for AI-Based Cybersecurity Solutions among SMEs
4.2.4. Global AI in Cybersecurity Market: Impact Analysis of Market Challenges (2022-2029)
4.2.4.1. Misconceptions and a Lack of Knowledge Regarding AI in Cybersecurity Solutions
4.2.4.2. Vulnerability Issues With IoT Devices
4.2.5. Global AI in Cybersecurity Market: Impact Analysis of Market Trends
4.2.5.1. Consistent Rise in the Adoption of Cloud Technologies
4.2.5.2. Increasing Use of Smartphones as an Attack Vector
4.3. Case Studies
4.3.1. Case Study A
4.3.2. Case Study B
4.3.3. Case Study C
4.4. COVID-19: Impact Assessment

5. Global Artificial Intelligence in Cybersecurity Market, by Component
5.1. Introduction
5.2. Software
5.2.1. AI Solutions
5.2.2. AI Platforms
5.3. Services
5.3.1. Support & Maintenance Services
5.3.2. Deployment & Integration Services
5.4. Hardware
5.4.1. Processors
5.4.2. Networking Solutions
5.4.3. Memory Solutions

6. Global Artificial Intelligence in Cybersecurity Market, by Technology
6.1. Introduction
6.2. Machine Learning (Ml)
6.3. Natural Language Processing (NLP)
6.4. Context-Aware Computing

7. Global Artificial Intelligence in Cybersecurity Market, by Security Type
7.1. Introduction
7.2. Network Security
7.3. Cloud Security
7.4. Endpoint Security
7.5. Application Security

8. Global Artificial Intelligence in Cybersecurity Market, by Application
8.1. Introduction
8.2. Identity & Access Management
8.3. Distributed Denial of Service (DDoS) Mitigation
8.4. Data Loss Prevention
8.5. Encryption
8.6. Threat Intelligence
8.7. Intrusion Detection/Prevention Systems
8.8. Fraud Detection
8.9. Unified Threat Management
8.10. Security Information & Event Management (SIEM)
8.11. Antivirus/Antimalware
8.12. Risk & Compliance Management

9. Global Artificial Intelligence in Cybersecurity Market, by Deployment Mode
9.1. Introduction
9.2. On-Premise Deployment
9.3. Cloud-Based Deployment

10. Global Artificial Intelligence in Cybersecurity Market, by End-Use Industry
10.1. Introduction
10.2. IT & Telecommunications
10.3. Banking, Financial Services, & Insurance (BFSI)
10.4. Retail
10.5. Government & Defense
10.6. Healthcare
10.7. Energy
10.8. Education
10.9. Automotive & Transportation
10.10. Manufacturing
10.11. Aerospace
10.12. Infrastructure

11. Artificial Intelligence in Cybersecurity Market, by Geography
11.1. Introduction
11.2. North America
11.2.1. U.S.
11.2.2. Canada
11.3. Asia-Pacific
11.3.1. China
11.3.2. Japan
11.3.3. India
11.3.4. South Korea
11.3.5. Rest of Asia-Pacific
11.4. Europe
11.4.1. U.K.
11.4.2. Germany
11.4.3. France
11.4.4. Italy
11.4.5. Spain
11.4.6. Rest of Europe (RoE)
11.5. Latin America
11.5.1. Brazil
11.5.2. Mexico
11.5.3. Rest of Latin America
11.6. Middle East & Africa (MEA)

12. Competitive Landscape
12.1. Introduction
12.2. Key Growth Strategies
12.2.1. Market Differentiators
12.2.2. Synergy Analysis: Major Deals & Strategic Alliances
12.3. Competitive Dashboard
12.3.1. Industry Leaders
12.3.2. Market Differentiators
12.3.3. Vanguards
12.3.4. Emerging Companies
12.4. Vendor Market Positioning
12.5. Market Share Analysis (2021)

13 Company Profiles (Business Overview, Financial Overview, Product Portfolio, and Strategic Developments)
13.1. Amazon Web Services, Inc.
13.2. Cisco Systems, Inc.
13.3. Check Point Software Technologies Ltd.
13.4. CrowdStrike Holdings, Inc.
13.5. Fortinet, Inc.
13.6. FireEye, Inc.
13.7. IBM Corporation
13.8. Intel Corporation
13.9. Imperva, Inc.
13.10. Juniper Network, Inc.
13.11. LogRhythm, Inc.
13.12. Microsoft Corporation
13.13. Micron Technology, Inc.
13.14. McAfee, Llc.
13.15. NVIDIA Corporation
13.16. NortonLifeLock Inc.
13.17. Palo Alto Networks, Inc.
13.18. Sophos Ltd.

14. Appendix

For more information about this report visit https://www.researchandmarkets.com/r/h0zbmt

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