Artificial Intelligence in Cybersecurity Market Trends Analysis Research Report by Unit Type (OBU and RSU), Form (In-vehicle and External Cloud Services), Communication Type (V2I, V2V, V2G, V2C, and V2P), Security Type (PKI and Embedded), Connectivity Type, Vehicle Type and Region - Global Forecast to 2030
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Artificial
Intelligence in Cybersecurity Market is predictable to grow from USD 19.4
Billion in 2023 to USD 154.3 billion by 2030, At a CAGR of 23.4%
Artificial Intelligence in
Cybersecurity Market A Comprehensive Overview
The use of Artificial Intelligence in
cybersecurity has been skyrocketing during the last couple of years. As
businesses and organizations confront more sophisticated cyber threats, AI has
become one of the most effective instruments for detecting and neutralizing
threats. We will analyze the base of the Artificial Intelligence in
Cybersecurity Market, its upcoming year growth, and discuss the significant
industry trends in this article.
Cyber-attacks are becoming a more prominent threat to
cybersecurity due to the AI revolution. Threat intelligence driven by AI is the
perfect way to keep abreast of activities in the cybercrime field, which is why
it is so-valued. AI-powered algorithms may visually analyze large data sets to
find trends or irregularities and identify a hacker’s attack pattern.
Automation of this operation allows the use of AI to get ahead of
cybercriminals and to deploy safety measures that will prevent further attacks.
Next year, we are likely to witness several significant
trends affecting the cybersecurity AI market’s expansion. Adoption of
artificial intelligence-driven threat intelligence platforms is one of these
trends. The platforms assist organizations to detect threats and solve the most
pressing problems like the severity and relevance of the threats. Moreover, the
AI connections to other cybersecurity tech such as endpoint detection and
response (EDR) tools will extend.
There are a few benefits that AI can offer in
cybersecurity, for example, an organization can quickly detect a security
breach with the help of AI and act accordingly, the time period between the
attack and the response is dramatically reduced; the chances of human mistakes
are significantly lowered, and there is an immense potential for AI to be used
for further evolution and improvement. By using AI technologies, companies can
save their data as well as their doors from the threat of hackers and thereby, they
are saving themselves from a costly data breach incident.
What lies ahead for AI in cybersecurity is a bright future.
With the constant progress of AI technology, you can expect more powerful
features like predictive analytics and self-directed threat response in the
near future. By utilizing AI
tech, companies can not only be in a better spot to tackle cyber-attacks
but also placed in a position to defend against subsequent attacks better.
Artificial Intelligence in
Cybersecurity Market Dynamics
Trends 2024 and 2025
Increased
Adoption of AI-Powered Solutions: The year 2024 will be marked
with an increased implementation of AI-powered cybersecurity solutions to a
large extent. Such advanced technologies have the ability to conduct vast data
analysis in real time, which results in very quick threat identifications and
responses.
Integration
of Machine Learning Algorithms: Machine learning algorithms
will be at the heart of cybersecurity methods as they have the ability to
self-develop new threats and security patterns. Such a predictive ability will
enable companies to always be ahead of cyber criminals.
Focus
on Threat Intelligence: Cybersecurity experts will dedicate
their time to the gathering and analysis of threat intelligence that will allow
them to identify security risks even before they occur. The use of AI tools in
this case will suffice for human efforts as they will take place faster and
with fewer errors.
Rise
of Autonomous Security Systems: By 2025, the world will be
seeing the rise of security systems that are completely autonomous and can
perform their functions without any human input. Such AI-powered instruments
will have the ability of immediate threat detection, analysis, and reaction.
Enhanced
User Authentication: As the cyber threats get more and more
complex user authentication will become more secure. The application of AI
biometric authentication systems will serve the purpose of user identity
verification and the deterrence of unauthorized access.
Zero
Trust Security Models: The concept of Zero Trust security model will
be more widely accepted and practiced in 2025, hence its popularity will
increase significantly. In this regard, AI algorithms will be very active in
the field by continuously observing and making judgments regarding the trust
level of users and their devices which will enhance security further.
Competitive Landscape of the
Artificial Intelligence in Cybersecurity Market
·
Cylance Inc. (BlackBerry)
·
FireEye, Inc.
·
Fortinet, Inc.
·
IBM Corporation
·
Intel Corporation
·
Micron Technology, Inc.
Artificial Intelligence in
Cybersecurity Market Company News 2024 and 2025
Acalvio
Technologies, Inc.
In
December 2024, Acalvio published a blog on how AI is being
used by attackers to create one-day and zero-day exploits, and how their
deception technology can defend against that.
In
2025, Acalvio announced that its deception technology is now
operating in AWS GovCloud (FedRAMP ready status) — showing growth in cloud /
government-deployed AI security.
Amazon
Web Services, Inc. (AWS)
AWS released a whitepaper (2025) titled “AI for Security
and Security for AI”, jointly with SANS Institute, covering how to secure
generative AI applications + using AI to strengthen overall security posture.
Cylance
Inc
In February 2025, BlackBerry completed the sale of its
Cylance endpoint security assets to Arctic Wolf.
Darktrace
Thoma Bravo, a U.S. private equity firm, completed its
acquisition of Darktrace in 2024 (approx US$5.3B).
Also in 2025, Darktrace proposed acquiring Cado Security, a
cloud-based security specialist, to boost its R&D and cloud investigation
capabilities.
Artificial
Intelligence in Cybersecurity Market Regional Insights
North America
United
States
With a plethora of well-established security vendors and
startups, the United States is a leader in implementing AI in cybersecurity.
Innovative solutions designed to address the escalating threat landscape are
being offered by these companies. U.S. firms are employing AI in various ways,
such as through threat intelligence platforms and security automation tools, to
sharpen their cyber defense capabilities. Quite notably, the government sector
is going to great lengths to integrate AI-driven security solutions in order to
ensure the safety of sensitive data and critical infrastructure.
Canada
By implementing AI in their security operations,
organizations from different industries in Canada have created a demand for AI
technologies in the field of cybersecurity. Through predictive analytics and
behavioral biometrics, Canadian companies are experimenting with various
methods to bolster their security stance and outpace the attackers. The
Canadian government has taken the role of a facilitator by initiating funding
programs and building partnerships with the academic and industrial sectors to
promote innovation in AI for cybersecurity.
Mexico
Mexico is turning to AI in the fight against cyber threats
albeit slowly, due to obstacles such as the scarcity of resources and lack of
cybersecurity experts. The Mexican government, on the other hand, is committed
to security through the implementation of awareness programs and
capacity-building initiatives aimed at businesses and government agencies. The
main reason why AI-driven security measures are embraced is due to their
affordability and the capability of such systems to detect and respond to cyber
incidents in real time, thus they can limit the occurrence of data breaches and
financial losses to a great extent.
Europe
Western
Europe:
European countries of the West like the UK, Germany, and
France have been in the forefront of AI adoption for cybersecurity. As data
protection regulations such as GDPR are strictly followed, companies are going
to AI to both reinforce their security and keep up with regulations. The demand
for AI-powered security solutions in this region is extremely high, with a
significant emphasis on the obtaining of real-time threat intelligence and
possible attack prevention.
Eastern
Europe:
In (East) Europe, the like of Poland, Ukraine, and Romania
are making investments in AI technologies for the solidification of their
cybersecurity infrastructural. The whole region is progressing fast in the AI
cybersecurity market, thereby creating a situation that is caused by the
upsurge cybercrime and the demand of strong defense mechanisms. AI-powered
gadgets such as behavioral analytics and anomaly detection are becoming more
and more popular in the battle against cyber attacks and in the defense of
critical assets.
Southern
Europe:
The south European nations of the World such as Spain,
Italy, and Greece are not very far behind when it comes to the involvement of
AI in cybersecurity. The digital transformation of businesses has led to an
increase of the need for AI-driven security solutions. Organizations in
Southern Europe are taking advantage of AI by using solutions such as
predictive analytics and machine learning algorithms to fight cyber threats and
protect their networks.
Asia Pacific
Southeast
Asia
Southeast Asia is the market where demand for AI-based
cybersecurity solutions is rapidly growing. Singapore, Malaysia, and Indonesia
are the countries that are investing on the top of the latest technology in
AI-driven to combat cyber threats. Due to the region’s e-commerce and digital
banking activities, cybersecurity has become the primary concern of businesses
and the governments. AI algorithms are designed to detect threats and attack
areas efficiently and quickly so as to provide a preventive method in
cybersecurity.
East
Asia
To the east of Asia, the main players of AI innovation in
cybersecurity are Japan, South Korea, and China. In a strong move towards
future technologies, these countries are using AI-powered methods to put up a firmer
fight against cyber attackers. Machine learning algorithms are given the task
of going through a massive pile of data and finding the areas that will become
the next security breaches so that they can prevent the occurrence of crimes.
This preventive strategy has become essential as the world is more
interdependent.
South
Asia
The nations of South Asia, India and Pakistan for example,
have been witnessing the growth of AI adoption in their cybersecurity sector.
With more and more people coming online and engaging in digital transactions,
the implementation of strong cybersecurity measures has become a necessity
rather than an option. Various AI-enabled cybersecurity solutions are being
used to accomplish these tasks such as monitoring network traffic, anomaly
detection and prevention of cyberattacks. The region’s vastness and
heterogeneity make the task of fighting cybercrime tough but at the same time
they have to consider AI a very valuable weapon against it.
Oceania
Australia and New Zealand are the two countries in Oceania
which are turning to AI technology for a solution to their security concerns.
The emergence of cloud computing and mobile connectivity has resulted in new
vulnerabilities which AI can address. Incident forecasting and behavioral
analysis are among the techniques being employed to discover patterns and
detect network activities that are unusual. By implementing AI, companies in
Oceania can outsmart hackers one step ahead of their game and keep their data safe.
Middle East and Africa
GCC
Countries
The Gulf Cooperation Council (GCC) countries, such as Saudi
Arabia, the United Arab Emirates, and Qatar, have been the most aggressive in
utilizing AI for cybersecurity purposes. The leading-edge in AI adoption for
alarming even the most advanced cyber vulnerabilities in return is their major
defense strategy.
Levant
Countries
The Levant countries, namely Jordan and Lebanon, are
equally pursuing of AI tech to bolster their cyber defenses. What we have seen
is the precise usage of AI for rapidly identifying and responding to cyber-attack
attempts.
Moreover,
North African region: The likes of Egypt and Morocco have
constantly depended on AI as a major line of defense in their cyber security
armies. These countries have quickly removed roadblocks and bottlenecks for cyber-attacks
by using AI-driven tools.
Africa
South Africa
Being the influential role in the African continent, South
Africa is indeed the first to see potential in deploying AI in cybersecurity.
The country’s strong cybersecurity network is made more efficient by AI
innovations that facilitate the automation of threat detection and response
processes.
Nigeria
The uptrend of cybercriminal activities in Nigeria has led
to the country’s inclination towards the use of AI for cybersecurity measures.
Into the hands of AI-driven frameworks goes the task of providing Nigerian
establishments with offensive capabilities against the rapidly shifting cyber
threats.
East
Africa
Through the influence of AI, countries such as Kenya and
Tanzania take up the fight against the increasing cyber attacking cases
eagerly. The usage of AI techniques dealing with enormous data as well as
pinpointing an exception for security breach has been widely adopted in those nations.
Segments Covered in the
Artificial Intelligence in Cybersecurity Market
By
Offering:
- Hardware
- Accelerators
- Processors
- Microprocessing
Unit (MPU)
- Graphics
Processing Unit (GPU)
- Field
Programmable Gate Arrays (FPGA)
- Application
Specific Integrated Circuit (ASIC)
- Tensor
Processing Unit (TPU)
- Other
Processors
- Storage
- Network
- Solution
By Type
- Software
- Standalone
- Integrated
- Platform
- Application
Program Interface (API)
- Machine
Learning Framework
By
Deployment
- Cloud
- On-Premises
- Services
- Professional
Services
- Consulting
Services
- Deployment
and Integration
- Support
and Maintenance
- Managed
Services
- Solutions
By
Security Type:
- Infrastructure
Security
- Network
Security
- Endpoint
Security
- Cloud
Security
- Other
Infrastructure Security
- Data
Security
- Application
Security
- Other
Security Types
By
Technology:
- Machine
Learning
- Deep
Learning
- Convolutional
Neural Networks (CNN)
- Recurrent
Neural Networks (RNN)
- Generative
AI
- Generative
Adversarial Networks
- Variational
Autoencoders
- Transformative
AI
- Others
- Supervised
Learning
- Unsupervised
Learning
- Reinforcement
Learning
- Neural
Networks
- Natural
Language Processing
- Text
Analysis
- Chatbot
Security
- Sentiment
Analysis
- Natural
Language Generation (NLG)
- Named
Entity Recognition (NER)
- Natural
Language Understanding (NLU)
- Context-Aware
Computing
- Automated
Threat Intelligence
- Threat
Hunting
- Automation
and Orchestration
- Security
Orchestration, Automation, and Response (SOAR)
- Robotic
Process Automation (RPA)
- Computer
Vision
- Image
Recognition
- Object
Detection
- Anomaly
Detection
- Video
Analysis
- Facial
Recognition
- Security
Surveillance Optimization
By
Application:
- Identity
& Access Management
- Risk
& Compliance Management
- Data
Loss Prevention
- Unified
Threat Management
- Security
& Vulnerability Management
- Fraud
Detection
- Intrusion
Detection/Prevention System
- Other
Applications
By
Vertical:
- Banking,
Financial Services, and Insurance (BFSI)
- Retail
& eCommerce
- Government
& Defense
- Healthcare
& Life Sciences
- Telecommunications
- IT/ITeS
- Manufacturing
- Automotive
- Media
& Entertainment
- Other
Verticals
Frequently Asked Questions:
What is
the Artificial Intelligence in Cybersecurity market size and growth forecast?
Artificial
Intelligence in Cybersecurity Market is expected to grow rapidly at a 23.4%
CAGR consequently, it will grow from its existing size of from $19.4 billion in
2023 to $ 154.3 billion by 2030.
What is
the future outlook for the Artificial Intelligence in Cybersecurity Market?
The
future outlook for the Artificial Intelligence (AI) in cybersecurity market
appears promising, marked by continuous advancements in technology and the
evolving threat landscape. As cyber threats become more sophisticated, there is
an increasing recognition of the need for proactive and adaptive security
measures, which AI can provide. AI in cybersecurity offers the capability to
analyze vast amounts of data in real-time, identify patterns, and detect
anomalies that may indicate potential security breaches.
What
applications do Artificial Intelligence in Cybersecurity have?
Artificial
Intelligence (AI) plays a crucial role in various applications within the
cybersecurity domain, enhancing the overall effectiveness of defense mechanisms.
One primary application is threat detection and analysis, where AI algorithms
can swiftly identify patterns and anomalies in large datasets, enabling rapid
and accurate identification of potential security breaches. Machine learning
models can adapt and evolve, learning from historical data to improve detection
capabilities over time.
Who are the key players in the Artificial
Intelligence in Cybersecurity market?
The
report profiles key players such as Acalvio Technologies, Inc., Amazon Web
Services, Inc., Cylance Inc. (BlackBerry), Darktrace, FireEye, Inc., Fortinet,
Inc., IBM Corporation, Intel Corporation, LexisNexis, Micron Technology, Inc.
Key insights provided by the
report that could help you take critical strategic decisions?
·
Regional
reports analyse product/service consumption and market factors in each region.
·
Reports
highlight possibilities and dangers for suppliers in the Artificial
Intelligence in Cybersecurity Market business globally.
·
The
report identifies regions and sectors with the highest growth potential.
·
It
provides a competitive market ranking of major companies, as well as
information on new product launches, partnerships, business expansions, and
acquisitions.
· The report includes a
comprehensive corporate profile with company overviews, insights, product
benchmarks, and SWOT analysis for key market participants.
Customization: We can provide following things
1) On
request more company profiles (competitors)
2) Data
about particular country or region
3) We
will incorporate the same with no additional cost (Post conducting
feasibility).
Any Requirement Contact us: https://forinsightsconsultancy.com/contact-us/
Table of Content
Chapter 1. Methodology and Scope
1.1. Market Segmentation and Scope
1.2. Research Methodology
1.2.1. Information Procurement
1.3. Information or Data Analysis
1.4. Methodology
1.5. Research Scope and Assumptions
1.6. Market Formulation & Validation
1.7. Country Based Segment Share Calculation
1.8. List of Data Sources
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights
Chapter 3. Artificial Intelligence in Cybersecurity Market Variables, Trends, & Scope
3.1. Market Lineage Outlook
3.2. Market Dynamics
3.2.1. Market Driver Analysis
3.2.2. Market Restraint Analysis
3.2.3. Industry Challenge
3.3. Artificial Intelligence in Cybersecurity Market Analysis Tools
3.3.1. Industry Analysis – Porter’s
3.3.1.1. Bargaining power of the suppliers
3.3.1.2. Bargaining power of the buyers
3.3.1.3. Threats of substitution
3.3.1.4. Threats from new entrants
3.3.1.5. Competitive rivalry
3.3.2. PESTEL Analysis
3.3.2.1. Political landscape
3.3.2.2. Economic and Social Landscape
3.3.2.3. Technological landscape
3.4. Pain Point Analysis
Chapter 4. Artificial Intelligence in Cybersecurity Market: Type Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. Type Movement Analysis, 2024 & 2030 (USD Billion)
4.3. Network Security
4.3.1. Network Security Market Revenue Estimates and Forecasts (USD Billion)
4.4. Endpoint Security
4.4.1. Endpoint Security Market Revenue Estimates and Forecasts (USD Billion)
4.5. Application Security
4.5.1. Application Security Market Revenue Estimates and Forecasts (USD Billion)
4.6. Cloud Security
4.6.1. Cloud Security Market Revenue Estimates and Forecasts (USD Billion)
Chapter 5. Artificial Intelligence in Cybersecurity Market: Offering Estimates & Trend Analysis
5.1. Segment Dashboard
5.2. Market: Offering Movement Analysis, 2024 & 2030 (USD Billion)
5.3. Hardware
5.3.1. Hardware Market Revenue Estimates and Forecasts (USD Billion)
5.4. Software
5.4.1. Software Market Revenue Estimates and Forecasts (USD Billion)
5.5. Services
5.5.1. Services Market Revenue Estimates and Forecasts (USD Billion)
Chapter 6. Artificial Intelligence in Cybersecurity Market: Technology Estimates & Trend Analysis
6.1. Segment Dashboard
6.2. Artificial Intelligence in Cybersecurity Market: Technology Movement Analysis, 2024 & 2030 (USD Billion)
6.3. Machine Learning
6.3.1. Machine Learning Market Revenue Estimates and Forecasts (USD Billion)
6.4. Natural Language Processing (NLP)
6.4.1. Natural Language Processing (NLP) Market Revenue Estimates and Forecasts (USD Billion)
6.5. Context-aware Computing
6.5.1. Context-aware Computing Market Revenue Estimates and Forecasts (USD Billion)
Chapter 7. Artificial Intelligence in Cybersecurity Market: Application Estimates & Trend Analysis
7.1. Segment Dashboard
7.2. Market: Application Movement Analysis, 2024 & 2030 (USD Billion)
7.3. Identity and Access Management
7.3.1. Identity and Access Management Market Revenue Estimates and Forecasts (USD Billion)
7.4. Risk and Compliance Management
7.4.1. Risk and Compliance Management Market Revenue Estimates and Forecasts (USD Billion)
7.5. Data Loss Prevention
7.5.1. Data Loss Prevention Market Revenue Estimates and Forecasts (USD Billion)
7.6. Unified Threat Management
7.6.1. Unified Threat Management Market Revenue Estimates and Forecasts (USD Billion)
7.7. Fraud Detection/Anti-Fraud
7.7.1. Fraud Detection/Anti-Fraud Market Revenue Estimates and Forecasts (USD Billion)
7.8. Threat Intelligence
7.8.1. Threat Intelligence Market Revenue Estimates and Forecasts (USD Billion)
7.9. Others
7.9.1. Others Market Revenue Estimates and Forecasts (USD Billion)
Chapter 8. Artificial Intelligence in Cybersecurity Market: End-use Estimates & Trend Analysis
8.1. Segment Dashboard
8.2. Market: End-use Movement Analysis, 2024 & 2030 (USD Billion)
8.3. BFSI
8.3.1. BFSI Market Revenue Estimates and Forecasts (USD Billion)
8.4. Retail
8.4.1. Retail Market Revenue Estimates and Forecasts (USD Billion)
8.5. Government & Defense
8.5.1. Government & Defense Market Revenue Estimates and Forecasts (USD Billion)
8.6. Manufacturing
8.6.1. Manufacturing Market Revenue Estimates and Forecasts (USD Billion)
8.7. Enterprise
8.7.1. Enterprise Market Revenue Estimates and Forecasts (USD Billion)
8.8. Healthcare
8.8.1. Healthcare Market Revenue Estimates and Forecasts (USD Billion)
8.9. Automotive & Transportation
8.9.1. Automotive & Transportation Market Revenue Estimates and Forecasts (USD Billion)
8.10. Others
8.10.1. Others Market Revenue Estimates and Forecasts (USD Billion)
Chapter 9. Artificial Intelligence in Cybersecurity Market: Regional Estimates & Trend Analysis
9.1. Artificial Intelligence in Cybersecurity Market Share, By Region, 2024 & 2030 (USD Billion)
9.2. North America
9.2.1. North America Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.2.2. U.S.
9.2.2.1. U.S. Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.2.3. Canada
9.2.3.1. Canada Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.3. Europe
9.3.1. Europe Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.3.2. UK
9.3.2.1. UK Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.3.3. Germany
9.3.3.1. Germany Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.3.4. France
9.3.4.1. France Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.4. Asia Pacific
9.4.1. Asia Pacific Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.4.2. China
9.4.2.1. China Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.4.3. Japan
9.4.3.1. Japan Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.4.4. India
9.4.4.1. India Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.4.5. South Korea
9.4.5.1. South Korea Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.4.6. Australia
9.4.6.1. Australia Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.5. Latin America
9.5.1. Latin America Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.5.2. Brazil
9.5.2.1. Brazil Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.5.3. Mexico
9.5.3.1. Mexico Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.6. Middle East and Africa
9.6.1. Middle East and Africa Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.6.2. South Africa
9.6.2.1. South Africa Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.6.3. Saudi Arabia
9.6.3.1. Saudi Arabia Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
9.6.4. UAE
9.6.4.1. UAE Artificial Intelligence in Cybersecurity Market Estimates and Forecasts (USD Billion)
Chapter 10. Competitive Landscape
10.1. Company Categorization
10.2. Company Market Positioning
10.3. Participant’s Overview
10.4. Financial Performance
10.5. Product Benchmarking
10.6. Company Heat Map Analysis
10.7. Strategy Mapping
10.8. Company Profiles/Listing
10.8.1. Acalvio Technologies, Inc
10.8.2. Amazon Web Services, Inc.
10.8.3. Cylance Inc. (BlackBerry)
10.8.4. Darktrace
10.8.5. FireEye, Inc.
10.8.6. Fortinet, Inc.
10.8.7. IBM Corporation
10.8.8. Intel Corporation
10.8.9. LexisNexis
10.8.10. Micron Technology, Inc.
List of Tables
Table 1 Global Artificial Intelligence in Cybersecurity market by Type (USD Billion)
Table 2 Global Artificial Intelligence in Cybersecurity market by Offering (USD Billion)
Table 3 Global Artificial Intelligence in Cybersecurity market by Technology (USD Billion)
Table 4 Global Artificial Intelligence in Cybersecurity market by Application (USD Billion)
Table 5 Global Artificial Intelligence in Cybersecurity market by End-Use (USD Billion)
Table 6 Global Artificial Intelligence in Cybersecurity market by region (USD Billion)
Table 7 North America Artificial Intelligence in Cybersecurity market by country (USD Billion)
Table 8 Europe Artificial Intelligence in Cybersecurity market by country (USD Billion)
Table 9 Asia Pacific Artificial Intelligence in Cybersecurity market by country (USD Billion)
Table 10 Latin America Artificial Intelligence in Cybersecurity market by country (USD Billion)
Table 11 MEA Artificial Intelligence in Cybersecurity market by country (USD Billion)
Table 12 Key companies launching new products/services.
Table 13 Key companies engaged in mergers & acquisitions.
Table 14 Key companies engaged in Research & development.
Table 15 Key Companies engaged in expansion.
List of Figures
Fig. 1 Information procurement
Fig. 2 Primary research pattern
Fig. 3 Market research approaches
Fig. 4 Value chain-based sizing & forecasting
Fig. 5 QFD modeling for market share assessment.
Fig. 6 Parent market analysis
Fig. 7 Patient-population model
Fig. 8 Market formulation & validation
Fig. 9 Market Snapshot
Fig. 10 Market Segment Snapshot
Fig. 11 Market Competitive Landscape Snapshot
Fig. 12 Market research process
Fig. 13 Market driver relevance analysis (Current & future impact)
Fig. 14 Market restraint relevance analysis (Current & future impact)
Fig. 15 Market, Type outlook key takeaways (USD Billion)
Fig. 16 Market: Type Movement Analysis 2024 & 2030 (USD Billion)
Fig. 17 Network Security market revenue estimates and forecasts (USD Billion)
Fig. 18 Endpoint Security market revenue estimates and forecasts (USD Billion)
Fig. 19 Application Security market revenue estimates and forecasts (USD Billion)
Fig. 20 Cloud Security market revenue estimates and forecasts (USD Billion)
Fig. 21 Market: Offering Outlook Key Takeaways (USD Billion)
Fig. 22 Market: Offering Movement Analysis 2024 & 2030 (USD Billion)
Fig. 23 Hardware market revenue estimates and forecasts (USD Billion)
Fig. 24 Software Learning and Adaptation market revenue estimates and forecasts (USD Billion)
Fig. 25 Services market revenue estimates and forecasts (USD Billion)
Fig. 26 Market: Technology Outlook Key Takeaways (USD Billion)
Fig. 27 Market: Technology Movement Analysis 2024 & 2030 (USD Billion)
Fig. 28 Machine Learning market revenue estimates and forecasts (USD Billion)
Fig. 29 NLP market revenue estimates and forecasts (USD Billion)
Fig. 30 Context aware computing market revenue estimates and forecasts (USD Billion)
Fig. 31 Market: Application Outlook Key Takeaways (USD Billion)
Fig. 32 Market: Application Movement Analysis 2024 & 2030 (USD Billion)
Fig. 33 Identity and Access Management market revenue estimates and forecasts (USD Billion)
Fig. 34 Risk & Compliance Management market revenue estimates and forecasts (USD Billion)
Fig. 35 Data Loss Prevention market revenue estimates and forecasts (USD Billion)
Fig. 36 Unified Threat Management market revenue estimates and forecasts (USD Billion)
Fig. 37 Fraud detection & anti-fraud market revenue estimates and forecasts (USD Billion)
Fig. 38 Threat intelligence market revenue estimates and forecasts (USD Billion)
Fig. 39 Others market revenue estimates and forecasts (USD Billion)
Fig. 40 Market: End-use Outlook key takeaways (USD Billion)
Fig. 41 Market: End-use Movement Analysis 2024 & 2030 (USD Billion)
Fig. 42 BFSI market revenue estimates and forecasts (USD Billion)
Fig. 43 Retail market revenue estimates and forecasts (USD Billion)
Fig. 44 Government & Defense market revenue estimates and forecasts (USD Billion)
Fig. 45 Manufacturing market revenue estimates and forecasts (USD Billion)
Fig. 46 Enterprise market revenue estimates and forecasts (USD Billion)
Fig. 47 Healthcare market revenue estimates and forecasts (USD Billion)
Fig. 48 Automotive & Transportation market revenue estimates and forecasts (USD Billion)
Fig. 49 Others market revenue estimates and forecasts (USD Billion)
Fig. 50 Regional marketplace: Key takeaways
Fig. 51 Market: Regional Outlook, 2024 & 2030 (USD Billion)
Fig. 52 North America market estimates and forecasts (USD Billion)
Fig. 53 U.S. market estimates and forecasts (USD Billion)
Fig. 54 Canada market estimates and forecasts (USD Billion)
Fig. 55 Europe market estimates and forecasts (USD Billion)
Fig. 56 UK market estimates and forecasts (USD Billion)
Fig. 57 Germany market estimates and forecasts (USD Billion)
Fig. 58 France market estimates and forecasts (USD Billion)
Fig. 59 Asia Pacific market estimates and forecasts (USD Billion)
Fig. 60 Japan market estimates and forecasts (USD Billion)
Fig. 61 China market estimates and forecasts (USD Billion)
Fig. 62 India market estimates and forecasts (USD Billion)
Fig. 63 South Korea market estimates and forecasts (USD Billion)
Fig. 64 Australia market estimates and forecasts (USD Billion)
Fig. 65 Latin America market estimates and forecasts (USD Billion)
Fig. 66 Brazil market estimates and forecasts (USD Billion)
Fig. 67 Mexico market estimates and forecasts (USD Billion)
Fig. 68 MEA market estimates and forecasts (USD Billion)
Fig. 69 South Africa market estimates and forecasts (USD Billion)
Fig. 70 Saudi Arabia market estimates and forecasts (USD Billion)
Fig. 71 UAE market estimates and forecasts (USD Billion)
Fig. 72 Strategy framework
Fig. 73 Company Categorization
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