
Region:Global
Author(s):Naman Rohilla
Product Code:KROD1555
December 2024
93

The global AI in cybersecurity market is segmented by deployment mode, application, technology, and region.


|
Company |
Establishment Year |
Headquarters |
|
IBM Corporation |
1911 |
Armonk, USA |
|
Palo Alto Networks, Inc. |
2005 |
Santa Clara, USA |
|
Symantec Corporation |
1982 |
Mountain View, USA |
|
Cisco Systems, Inc. |
1984 |
San Jose, USA |
|
Fortinet, Inc. |
2000 |
Sunnyvale, USA |
The Global Artificial Intelligence in Cybersecurity Market is expected to reach USD 60.6 billion by 2028, driven by advancements in AI technology, the rising need for proactive cybersecurity measures, and supportive government regulations.
|
By Deployment Mode |
Cloud-based On-premises |
|
By Application |
Network Security Endpoint Security Application Security Cloud Security |
|
By Technology |
Machine Learning Natural Language Processing Context-aware Computing |
|
By Region |
North America Europe Asia-Pacific (APAC) Middle East & Africa (MEA) Latin America |
1.1 Definition and Scope
1.2 Market Taxonomy
1.3 Market Growth Rate
1.4 Market Segmentation Overview
2.1 Historical Market Size
2.2 Year-On-Year Growth Analysis
2.3 Key Market Developments and Milestones
3.1 Growth Drivers
3.2 Market Challenges
3.3 Opportunities
3.4 Trends
4.1 By Deployment Mode (In Value %)
4.1.1 Cloud-Based
4.1.2 On-Premises
4.2 By Application (In Value %)
4.2.1 Network Security
4.2.2 Endpoint Security
4.2.3 Application Security
4.2.4 Cloud Security
4.3 By Technology (In Value %)
4.3.1 Machine Learning
4.3.2 Natural Language Processing
4.3.3 Context-Aware Computing
4.4 By Region (In Value %)
4.4.1 North America
4.4.2 Europe
4.4.3 Asia-Pacific (APAC)
4.4.4 Middle East & Africa (MEA)
4.4.5 Latin America
5.1 Detailed Profiles of Major Companies
5.2 Cross-Comparison Parameters
5.3 Market Share Analysis
5.4 Strategic Initiatives
5.5 Mergers and Acquisitions
5.6 Investment Analysis
6.1 Data Privacy Regulations (GDPR, CCPA)
6.2 Compliance Requirements
6.3 Certification Processes
7.1 Future Market Size Projections
7.2 Key Factors Driving Future Market Growth
8.1 By Deployment Mode
8.2 By Application
8.3 By Technology
8.4 By Region
9.1 TAM/SAM/SOM Analysis
9.2 Target Customer Analysis
9.3 Marketing Initiatives
9.4 White Space Opportunity Analysis
Ecosystem creation for all the major entities and referring to multiple secondary and proprietary databases to perform desk research around the market to collate market-level information.
Collating statistics on the Global Artificial Intelligence in Cybersecurity market over the years and analyzing the penetration of products as well as the ratio of suppliers to compute the revenue generated for the market. We will also review product quality statistics to ensure accuracy behind the data points shared.
Building market hypotheses and conducting CATIs with market experts from different companies to validate statistics and seek operational and financial information from company representatives.
Our team will approach multiple cybersecurity firms and AI technology providers to understand product segments, sales, consumer preferences, and other parameters, which will support us in validating statistics derived through the bottom-to-top approach from cybersecurity technology providers and developers.
The Global Artificial Intelligence in Cybersecurity Market was valued at USD 22.4 billion in 2023, driven by the increasing frequency and sophistication of cyber-attacks, the growing adoption of IoT and connected devices, and the rising demand for AI-based cybersecurity solutions.
The major players in the Global Artificial Intelligence in Cybersecurity Market include IBM Corporation, Palo Alto Networks, Inc., Symantec Corporation, Cisco Systems, Inc., and Fortinet, Inc. These companies are leaders in developing advanced AI-based security solutions, focusing on enhancing threat detection, response times, and compliance with global cybersecurity standards.
The increasing frequency of cyber-attacks, growing adoption of IoT devices, and the need for regulatory compliance are the primary growth drivers of the Global Artificial Intelligence in Cybersecurity Market.
The Global Artificial Intelligence in Cybersecurity Market faces challenges such as high implementation costs and a lack of skilled workforce, which can hinder the widespread adoption of AI-driven cybersecurity solutions.
What makes us stand out is that our consultants follows Robust, Refine and Result (RRR) methodology. i.e. Robust for clear definitions, approaches and sanity checking, Refine for differentiating respondents facts and opinions and Result for presenting data with story
We have set a benchmark in the industry by offering our clients with syndicated and customized market research reports featuring coverage of entire market as well as meticulous research and analyst insights.
While we don't replace traditional research, we flip the method upside down. Our dual approach of Top Bottom & Bottom Top ensures quality deliverable by not just verifying company fundamentals but also looking at the sector and macroeconomic factors.
With one step in the future, our research team constantly tries to show you the bigger picture. We help with some of the tough questions you may encounter along the way: How is the industry positioned? Best marketing channel? KPI's of competitors? By aligning every element, we help maximize success.
Our report gives you instant access to the answers and sources that other companies might choose to hide. We elaborate each steps of research methodology we have used and showcase you the sample size to earn your trust.
If you need any support, we are here! We pride ourselves on universe strength, data quality, and quick, friendly, and professional service.