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Artificial Intelligence in Cybersecurity Market by Technology, Security, Application, Industry, and Region - Global Forecasts to 2029

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    Report

  • 299 Pages
  • June 2022
  • Region: Global
  • Meticulous Market Research Pvt. Ltd.
  • ID: 5602694
Artificial Intelligence in Cybersecurity Market by Technology (ML, NLP), Security (Endpoint, Cloud, Network), Application (DLP, UTM, IAM, Antivirus, IDP), Industry (Retail, Government, BFSI, IT, Healthcare), and Geography - Global Forecasts to 2029

The research report titled, “Artificial Intelligence in Cybersecurity Market by Technology (ML, NLP), Security (Endpoint, Cloud, Network), Application (DLP, UTM, IAM, Antivirus, IDP), Industry (Retail, Government, BFSI, IT, Healthcare), and Geography - Global Forecasts to 2029,” 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 (hardware, software, and services), technology (machine learning, natural language processing, and context-aware computing), security time (application security, endpoint security, cloud security, and network security), application (data loss prevention, unified threat management, encryption, identity & access management, risk & compliance management, antivirus/antimalware, intrusion detection/prevention system, distributed denial of service mitigation, security information & event management, threat intelligence, and fraud detection), deployment mode (on-premises and cloud), end-use industry (retail, government & defense, automotive & transportation, BFSI, manufacturing, infrastructure, IT & telecommunication, healthcare, aerospace, education, and energy), and geography. The study also evaluates industry competitors and analyses the market at the country level.

Based on component, the AI in cybersecurity market is segmented into software, hardware, and services. In 2022, the software tools segment is estimated to account for the largest share of the global AI in cybersecurity market. This segment is also projected to register the highest CAGR during the forecast period. The high growth of this market is attributed to the increasing demand for AI platform solutions for security operations and the growing number of data security concerns. In addition, the rising demand for robust and cost-effective security solutions among business enterprises to strengthen their cybersecurity infrastructure is leading to the growth of this segment during the forecast period.

Based on technology, AI in cybersecurity market is segmented into machine learning, natural language processing, and context-aware computing. In 2022, the machine learning segment is estimated to account for the largest share of AI in cybersecurity market. Also, this segment is expected to register the highest CAGR during the forecast period. The high growth of this segment is attributed to its increased ability to collect, process, and handle big data from different sources and offer rapid analysis & prediction. Machine learning technology also helps analyse user behaviour, find threats, and respond to active attacks in real-time.

Based on security type, the AI in cybersecurity market is broadly segmented into network security, cloud security, application security, and endpoint security. In 2022, the network security segment is expected to account for the largest share of the AI in cybersecurity market. The high growth of this market is attributed to the rising APTs, malware, and phishing attacks. In addition, the surge in the adoption of the Bring Your Own Device (BYOD) trend during the COVID-19 pandemic, the growing demand for network security solutions, and privacy concerns are expected to drive the growing demand for the network security segment in the coming years.

Based on end-use industry, the AI in cybersecurity market is segmented into BFSI, healthcare, manufacturing, retail, IT & telecommunication, education, energy, automotive & transportation, infrastructure, aerospace, government & defense. In 2022, the IT & telecommunication segment is estimated to account for the largest share of the global AI in cybersecurity market. However, the healthcare segment is slated to grow at the highest CAGR during the forecast period. The high growth of this segment is attributed to the growing demand for advanced cybersecurity solutions & privacy concerns, the increase in frequency & complexity of cyber threats, and the growing adoption of IoT & connected devices across the healthcare sector.

Based on geography, the AI in cybersecurity market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2022, North America is estimated to account for the largest share of the AI in cybersecurity market, followed by Asia-Pacific, Europe, Latin America, and the Middle East & Africa. The large market share of this segment is attributed to the presence of prominent players offering advanced AI in cybersecurity solutions and services across different sectors in this region. In addition, the increasing sophistication of cyber-attacks, proliferation of cloud-based solutions, and growing awareness regarding AI in cybersecurity among small and medium-sized enterprises are expected to propel the demand for AI in cybersecurity solutions during the forecast period. However, Asia-Pacific is expected to register the highest CAGR during the forecast period.

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?

Scope of the Report:


AI in Cybersecurity Market, by Component

  • Hardware
  • Processors
  • Networking Solutions
  • Memory Solutions
  • Software
  • AI Platforms
  • AI Solutions
  • Services
  • Deployment & Integration
  • Support & Maintenance

AI in Cybersecurity Market, by Technology

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

AI in Cybersecurity Market, by Security Type

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

AI in Cybersecurity Market, by Application

  • Data Loss Prevention
  • Unified Threat Management
  • Encryption
  • Identity and Access Management
  • Risk and Compliance Management
  • Antivirus/Antimalware
  • Intrusion Detection/Prevention System
  • Distributed Denial of Service (DDoS) Mitigation
  • Security Information and Event Management (SIEM)
  • Threat Intelligence
  • Fraud Detection

AI in Cybersecurity Market, by Deployment Type

  • On-premises
  • Cloud-based

AI in Cybersecurity Market, by End-use Industry

  • Retail
  • Government & Defense
  • Automotive & Transportation
  • BFSI
  • Manufacturing
  • Infrastructure
  • IT & Telecommunication
  • Healthcare
  • Aerospace
  • Education
  • Energy

AI in Cybersecurity Market, by Geography:

  • North America
  • U.S.
  • Canada
  • Europe
  • Germany
  • U.K.
  • France
  • Italy
  • Spain
  • Rest of Europe
  • Asia-Pacific
  • Japan
  • China
  • India
  • South Korea
  • Rest of Asia-Pacific
  • Latin America
  • Mexico
  • Brazil
  • Rest of Latin America
  • Middle East & Africa

Table of Contents

1. Introduction
1.1. Market Definition
1.2. Market Ecosystem
1.3. Currency And Limitations
1.3.1. Currency
1.3.2. Limitations
1.4. Key Stakeholders
2. Research Methodology
2.1. Research Process
2.2. Data Collection & Validation
2.2.1. Secondary Research
2.2.2. Primary Research
2.3. Market Assessment
2.3.1. Market Size Estimation
2.3.1.1. Bottom-Up Approach
2.3.1.2. Top-Down Approach
2.3.1.3. Growth Forecast
2.4. Assumptions for the Study
3. Executive Summary
3.1. Overview
3.2. Market Analysis, by Component
3.3. Market Analysis, by Technology
3.4. Market Analysis, by Security Type
3.5. Market Analysis, by Application
3.6. Market Analysis, by Deployment Mode
3.7. Market Analysis, by End-Use Industry
3.8. Market Analysis, by Geography
3.9. Competitive Analysis
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
14.1. Questionnaire
14.2. Available Customization

Companies Mentioned

  • 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 (U.S.)
  • McAfee LLC (U.S.)
  • LogRhythm Inc. (U.S.)
  • Sophos Ltd. (U.S.)
  • NortonLifeLock Inc. (U.S.)
  • Crowdstrike Holdings Inc. (U.S.)