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The Germany AI in cybersecurity market size reached USD 1,167.34 million in 2023. The market is expected to grow at a CAGR of 16.98% between 2024 and 2032, reaching USD 4,778.69 million by 2032.
Due to its ability to be customised according to the unique needs of individual organizations, services are enhancing the Germany AI in cybersecurity market by providing tailored protection aligned with specific cybersecurity challenges
AI Cybersecurity services deliver tailored protection designed for organizations, utilizing skilled professionals to implement AI solutions. Through continuous monitoring, they provide training, risk evaluation, and proactive approaches, empowering businesses to bolster security and manage cyber risks effectively.
In September 2023, Wipro Limited unveiled its Cyber Defence Centre (CDC) in Dusseldorf, Germany, marking its 17th global location. This launch offers specialized cybersecurity services to European clients, including 24/7 monitoring, incident response, and remediation assistance in response to increasing cyber threats.
AI Cybersecurity solutions feature advanced threat detection, automated reactions, scalability, ongoing learning, and decreased false alarms. These solutions analyse real-time data, adapt to evolving threats, and reduce risks, ensuring organizations maintain protection in the face of expanding digital landscapes.
Germany AI in Cybersecurity Market Report and Forecast 2024-2032 offers a detailed analysis of the market based on the following segments:
Market Breakup by Offering
Market Breakup by Security Type
Market Breakup by Deployment Mode
Market Breakup by Technology
Market Breakup by Industrial Vertical
Market Breakup by Region
The Germany AI in cybersecurity market key players are Samsung Electronics Co., Ltd., Amazon Web Services, Inc., Darktrace Holdings Limited, NCC Group Security Services, Inc., Veritas Technologies LLC, Sophos Ltd., Acronis International GmbH., HCL Technologies Limited, Palo Alto Networks, Inc. and Vectra AI, Inc. among others.
REPORT FEATURES | DETAILS |
Base Year | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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Breakup by Offering |
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Breakup by Security Type |
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Breakup by Deployment Mode |
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Breakup by Technology |
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Breakup by Industrial Vertical |
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Breakup by Region |
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Market Dynamics |
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Competitive Landscape |
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Companies Covered |
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*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Market Snapshot
7 Opportunities and Challenges in the Market
8 Global AI in Cybersecurity Market Overview
8.1 Key Industry Highlights
8.2 Europe AI in Cybersecurity Historical Market (2018-2023)
8.3 Europe AI in Cybersecurity Market Forecast (2024-2032)
8.4 Europe AI in Cybersecurity Market Share by Country
8.4.1 United Kingdom
8.4.2 Germany
8.4.3 France
8.4.4 Italy
8.4.5 Others
9 Germany AI in Cybersecurity Market Overview
9.1 Key Industry Highlights
9.2 Germany AI in Cybersecurity Historical Market (2018-2023)
9.3 Germany AI in Cybersecurity Market Forecast (2024-2032)
10 Germany AI in Cybersecurity Market by Offering
10.1 Hardware
10.1.1 Historical Trend (2018-2023)
10.1.2 Forecast Trend (2024-2032)
10.2 Solution
10.2.1 Historical Trend (2018-2023)
10.2.2 Forecast Trend (2024-2032)
10.3 Service
10.3.1 Historical Trend (2018-2023)
10.3.2 Forecast Trend (2024-2032)
11 Germany AI in Cybersecurity Market by Security Type
11.1 Endpoint Security
11.1.1 Historical Trend (2018-2023)
11.1.2 Forecast Trend (2024-2032)
11.2 Network Security
11.2.1 Historical Trend (2018-2023)
11.2.2 Forecast Trend (2024-2032)
11.3 Cloud Security
11.3.1 Historical Trend (2018-2023)
11.3.2 Forecast Trend (2024-2032)
11.4 Application Security
11.4.1 Historical Trend (2018-2023)
11.4.2 Forecast Trend (2024-2032)
12 Germany AI in Cybersecurity Market by Deployment Mode
12.1 Cloud
12.1.1 Historical Trend (2018-2023)
12.1.2 Forecast Trend (2024-2032)
12.2 On-Premise
12.2.1 Historical Trend (2018-2023)
12.2.2 Forecast Trend (2024-2032)
13 Germany AI in Cybersecurity Market by Technology
13.1 Machine Learning
13.1.1 Historical Trend (2018-2023)
13.1.2 Forecast Trend (2024-2032)
13.2 Context-aware Computing
13.2.1 Historical Trend (2018-2023)
13.2.2 Forecast Trend (2024-2032)
13.3 Natural Language Processing
13.3.1 Historical Trend (2018-2023)
13.3.2 Forecast Trend (2024-2032)
14 Germany AI in Cybersecurity Market by Industrial Vertical
14.1 BFSI
14.1.1 Historical Trend (2018-2023)
14.1.2 Forecast Trend (2024-2032)
14.2 Automotive and Transportation
14.2.1 Historical Trend (2018-2023)
14.2.2 Forecast Trend (2024-2032)
14.3 Retail and E-Commerce
14.3.1 Historical Trend (2018-2023)
14.3.2 Forecast Trend (2024-2032)
14.4 Manufacturing
14.4.1 Historical Trend (2018-2023)
14.4.2 Forecast Trend (2024-2032)
14.5 Government and Defense
14.5.1 Historical Trend (2018-2023)
14.5.2 Forecast Trend (2024-2032)
14.6 Healthcare
14.6.1 Historical Trend (2018-2023)
14.6.2 Forecast Trend (2024-2032)
14.7 Others
15 Germany AI in Cybersecurity Market by Region
15.1 North Rhine-Westphalia
15.1.1 Historical Trend (2018-2023)
15.1.2 Forecast Trend (2024-2032)
15.2 Bavaria
15.2.1 Historical Trend (2018-2023)
15.2.2 Forecast Trend (2024-2032)
15.3 Baden-Württemberg
15.3.1 Historical Trend (2018-2023)
15.3.2 Forecast Trend (2024-2032)
16 Market Dynamics
16.1 SWOT Analysis
16.1.1 Strengths
16.1.2 Weaknesses
16.1.3 Opportunities
16.1.4 Threats
16.2 Porter’s Five Forces Analysis
16.2.1 Supplier’s Power
16.2.2 Buyer’s Power
16.2.3 Threat of New Entrants
16.2.4 Degree of Rivalry
16.2.5 Threat of Substitutes
16.3 Key Indicators of Demand
16.4 Key Indicators of Price
17 Competitive Landscape
17.1 Market Structure
17.2 Company Profiles
17.2.1 Samsung Electronics Co., Ltd.
17.2.1.1 Company Overview
17.2.1.2 Product Portfolio
17.2.1.3 Demographic Reach and Achievements
17.2.1.4 Certifications
17.2.2 Amazon Web Services, Inc.
17.2.2.1 Company Overview
17.2.2.2 Product Portfolio
17.2.2.3 Demographic Reach and Achievements
17.2.2.4 Certifications
17.2.3 Darktrace Holdings Limited
17.2.3.1 Company Overview
17.2.3.2 Product Portfolio
17.2.3.3 Demographic Reach and Achievements
17.2.3.4 Certifications
17.2.4 NCC Group Security Services, Inc.
17.2.4.1 Company Overview
17.2.4.2 Product Portfolio
17.2.4.3 Demographic Reach and Achievements
17.2.4.4 Certifications
17.2.5 Veritas Technologies LLC
17.2.5.1 Company Overview
17.2.5.2 Product Portfolio
17.2.5.3 Demographic Reach and Achievements
17.2.5.4 Certifications
17.2.6 Sophos Ltd.
17.2.6.1 Company Overview
17.2.6.2 Product Portfolio
17.2.6.3 Demographic Reach and Achievements
17.2.6.4 Certifications
17.2.7 Acronis International GmbH.
17.2.7.1 Company Overview
17.2.7.2 Product Portfolio
17.2.7.3 Demographic Reach and Achievements
17.2.7.4 Certifications
17.2.8 HCL Technologies Limited
17.2.8.1 Company Overview
17.2.8.2 Product Portfolio
17.2.8.3 Demographic Reach and Achievements
17.2.8.4 Certifications
17.2.9 Palo Alto Networks, Inc.
17.2.9.1 Company Overview
17.2.9.2 Product Portfolio
17.2.9.3 Demographic Reach and Achievements
17.2.9.4 Certifications
17.2.10 Vectra AI, Inc.
17.2.10.1 Company Overview
17.2.10.2 Product Portfolio
17.2.10.3 Demographic Reach and Achievements
17.2.10.4 Certifications
17.2.11 Others
18 Key Trends and Developments in the Market
List of Key Figures and Tables
1. Europe AI in Cybersecurity Market: Key Industry Highlights, 2018 and 2032
2. Germany AI in Cybersecurity Market: Key Industry Highlights, 2018 and 2032
3. Germany AI in Cybersecurity Historical Market: Breakup by Offering (USD Million), 2018-2023
4. Germany AI in Cybersecurity Market Forecast: Breakup by Offering (USD Million), 2024-2032
5. Germany AI in Cybersecurity Historical Market: Breakup by Security Type (USD Million), 2018-2023
6. Germany AI in Cybersecurity Market Forecast: Breakup by Security Type (USD Million), 2024-2032
7. Germany AI in Cybersecurity Historical Market: Breakup by Deployment Mode (USD Million), 2018-2023
8. Germany AI in Cybersecurity Market Forecast: Breakup by Deployment Mode (USD Million), 2024-2032
9. Germany AI in Cybersecurity Historical Market: Breakup by Technology (USD Million), 2018-2023
10. Germany AI in Cybersecurity Market Forecast: Breakup by Technology (USD Million), 2024-2032
11. Germany AI in Cybersecurity Historical Market: Breakup by Industry Vertical (USD Million), 2018-2023
12. Germany AI in Cybersecurity Market Forecast: Breakup by Industry Vertical (USD Million), 2024-2032
13. Germany AI in Cybersecurity Historical Market: Breakup by Region (USD Million), 2018-2023
14. Germany AI in Cybersecurity Market Forecast: Breakup by Region (USD Million), 2024-2032
15. Germany AI in Cybersecurity Market Structure
The market was valued at USD 1,167.34 million in 2023.
The market is projected to grow at a CAGR of 16.98% between 2024 and 2032.
The revenue generated from the AI in cybersecurity market is expected to reach USD 4,778.69 million in 2032.
The AI in cybersecurity market is categorised according to the offerings, which include hardware, solutions, and services.
The key players are Samsung Electronics Co., Ltd., Amazon Web Services, Inc., Darktrace Holdings Limited, NCC Group Security Services, Inc., Veritas Technologies LLC, Sophos Ltd., Acronis International GmbH., HCL Technologies Limited, Palo Alto Networks, Inc. and Vectra AI, Inc. among others.
Based on the deployment mode, the market is divided into on-premises and cloud.
The market is broken down into North Rhine-Westphalia, Bavaria, and Baden- Württemberg.
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