Global Generative AI in Cyber Security Market

July 2024 | 138 pages | ID: GBFCF0E60862EN
Evolve Business Intelligence

Abstracts

Global Generative AI in Cyber Security Market By Component (Hardware, Software, Services), By Technology (Generative Adversarial Networks (GANs), Variational Auto-encoders (VAEs), Reinforcement Learning (RL), Deep Neural Networks (DNNs), Natural Language Processing (NLP), Others) By Type (Network Security, End-Point Security, Application Security, Cloud Security, Others), By End User (BFSI, IT & Telecom, Healthcare and Life Sciences, Government and Defense, Retail and Ecommerce, Others) And By Geography – Covid-19 Impact Analysis, Post Covid Analysis, Opportunities, Trends And Forecast From 2020 t-2032

The global Generative AI in Cyber Security market was valued at $1.66 Billion in 2023 and is anticipated t-grow at a CAGR of 22.54% from 2024 t-2034. This growth is attributed t-several macr-and microeconomic factors such as

• Escalating Cyber Threats

The driving factor of escalating cyber threats is crucial in the context of the global Generative AI in Cyber Security market, profoundly impacting its growth and development. As cyber threats become more sophisticated and pervasive, the need for advanced cybersecurity solutions intensifies. The increasing frequency and complexity of attacks reveal the limitations of traditional security measures, prompting a shift towards AI-driven solutions that can analyze vast amounts of data and identify patterns t-counteract sophisticated threats. Advanced Persistent Threats (APTs) and zero-day vulnerabilities, which are prolonged and previously unknown cyber attacks respectively, underscore the necessity for proactive defense mechanisms that Generative AI can provide by predicting and identifying potential breaches. The rise in ransomware and phishing attacks further drives the demand for AI-powered cybersecurity, as Generative AI can enhance email filtering systems, detect malicious code, and predict potential phishing attempts. Additionally, the expanding digital landscape, with more IoT devices, cloud services, and remote work environments, has increased the attack surface for cybercriminals. Generative AI can monitor and protect these diverse assets by generating adaptive security protocols and real-time threat intelligence. Regulatory compliance and data protection laws, such as GDPR and CCPA, require stringent cybersecurity measures t-protect sensitive information, and Generative AI can help organizations achieve compliance by identifying security gaps and automating responses t-potential breaches. Lastly, the cost efficiency and resource optimization provided by AI-driven solutions, which reduce the need for large cybersecurity teams and allow for more efficient allocation of resources, make them attractive t-organizations facing escalating cyber threats. Collectively, these factors fuel the demand for generative AI in cybersecurity, driving the market's growth.

Further several factors restraining the market growth include

• Technical Limitation

Technical limitations pose a significant restraining factor in the global Generative AI in Cyber Security market, hindering its full potential and widespread adoption. Generative AI systems rely heavily on large volumes of high-quality data t-function effectively, but obtaining such data can be challenging due t-privacy concerns and the sensitive nature of security data. Additionally, the computational resources required t-implement and run these advanced AI models can be costly and resource-intensive, which is particularly burdensome for smaller organizations. The complexity of developing and fine-tuning generative AI algorithms requires specialized expertise, and the models must continually adapt t-the evolving threat landscape, demanding ongoing research and development. Generative AI models als-face issues with false positives and negatives, where incorrect identifications can lead t-alert fatigue and missed threats. Integrating these AI solutions with existing cybersecurity infrastructure is often complex, especially with legacy systems that may not be compatible with new technologies. The lack of interpretability and transparency of AI models, which often operate as 'black boxes,' can hinder trust and acceptance, as understanding the rationale behind threat detection is crucial. Lastly, the rapid evolution of cyber threats necessitates frequent updates and retraining of AI models, which can strain resources and may not always keep pace with emerging threats. These technical limitations collectively restrain the global Generative AI in Cyber Security market, highlighting the need for continuous advancements and solutions t-overcome these challenges.

Integration with Existing Security Tools and collaborations and alliances in the Generative AI in Cyber Security market are expected t-generate higher avenues during the forecast period.

In the wake of the COVID-19 pandemic, supply chain disruptions have led t-supply shortages or lower demand in the Generative AI in Cyber Security market. The pandemic has caused a decline in new orders and a corresponding decrease in Componention.

This section will analyze how COVID-19 has impacted supply chains, leading t-shortages and lower demand for Generative AI in Cyber Security.

In terms of COVID-19 impact, the Generative AI in Cyber Security market report als-includes the following data points:

• Impact on Generative AI in Cyber Security market size
• Operating Weights Trend, Preferences, and Budget Impact
• Regulatory Framework/Outdoor Policies
• Key Players' Strategy t-Tackle Negative Impact/Post-COVID Strategies
• Opportunity in the Generative AI in Cyber Security market

Key Insight in the report:

The global Generative AI in Cyber Security market report covers an executive summary, market dynamics, COVID impact & post-COVID scenario, market size and forecast, competitive intelligence, market positioning, and End Users.

Our report covers extensive competitive intelligence which includes the following data points:

• Business Overview
• Business Segment Data
• Financial Data
• Component Segment Analysis and Specification
• Recent Development and Company Strategy Analysis
• SWOT Analysis

Generative AI in Cyber Security Market Segmentation:

• Component
• Hardware
• Software
• Services
• Technology
• Generative Adversarial Networks (GANs)
• Variational Auto-encoders (VAEs)
• Reinforcement Learning (RL)
• Deep Neural Networks (DNNs)
• Natural Language Processing (NLP)
• Others
• Type
• Network Security
• End-Point Security
• Application Security
• Cloud Security
• Others
• End User
• BFSI
• IT & Telecom
• Healthcare and Life Sciences
• Government and Defense
• Retail and Ecommerce
• Others

Region/ Countries Covered:

• North America
• US
• Canada
• Mexico
• Europe
• U.K.
• Germany
• France
• Italy
• Spain
• BeNeLux
• Russia
• Rest of Europe
• Asia Pacific
• China
• Japan
• Australia
• India
• South Korea
• Malaysia
• Thailand
• Indonesia
• Rest of Asia Pacific
• South America
• Brazil
• Argentina
• Rest of South America
• Middle East & Africa
• Saudi Arabia
• UAE
• Egypt
• South Africa
• Rest of Middle East & Africa

Key Players Analyzed in the Report:

• IBM CORPORATION
• NVIDIA Corporation
• CrowdStrike
• Acalvi-Technologies Inc
• Pal-Alt-Networks
• Darktrace
• SentinelOne
• Cisco
• Trend Micro
• INTEL

Contents

CHAPTER 1. EXECUTIVE SUMMARY

CHAPTER 2. SCOPE OF THE STUDY

2.1. Market Definition
2.2. Market Scope & Segmentation
  2.2.1. Objective of Report

CHAPTER 3. EVOLVE BI METHODOLOGY

3.1. Data Collection & Validation Approach
3.2. Market Size Estimation and Forecast

CHAPTER 4. MARKET INSIGHTS AND TRENDS

4.1. Value Chain Analysis
  4.1.1. Research & Development
  4.1.2. Data Acquisition and Management
  4.1.3. Model Development and Software Development
  4.1.4. Deployment, Maintenance, and Services
4.2. Porter’s Five Forces Analysis
  4.2.1. Bargaining Power of Buyers
  4.2.2. Bargaining Power of Suppliers
  4.2.3. Threat of New Entrant
  4.2.4. Threat of Substitute
  4.2.5. Industry Rivalry
4.3. COVID-19 Impact and Post COVID Scenario on Generative AI Market
  4.3.1. Impact of COVID-19
  4.3.2. Government Support and Industry Revival Policies
  4.3.3. Measures Taken by Companies to Mitigate Negative Impact
  4.3.4. Post COVID Trend

CHAPTER 5. MARKET DYNAMICS

5.1. Introduction
5.2. Drivers
  5.2.1. Escalating Cyber Threats
  5.2.2. Data Security and Privacy Concerns
5.3. Restraints
  5.3.1. Technical Limitations
  5.3.2. Data Availability and Quality
5.4. Opportunity
  5.4.1. Integration with Existing Security Tools
  5.4.2. Collaboration between Stakeholders

CHAPTER 6. GLOBAL GENERATIVE AI IN CYBER SECURITY MARKET, BY COMPONENT

6.1. Introduction
  6.1.1. Hardware
  6.1.2. Software
  6.1.3. Services

CHAPTER 7. GLOBAL GENERATIVE AI IN CYBER SECURITY MARKET, BY TECHNOLOGY

7.1. Introduction
  7.1.1. Generative Adversarial Networks (GANs)
  7.1.2. Variational Auto-Encoders (VAEs)
  7.1.3. Reinforcement Learning (RL)
  7.1.4. Deep Neural Networks (DNNs)
  7.1.5. Natural Language Processing (NLP)

CHAPTER 8. GLOBAL GENERATIVE AI IN CYBER SECURITY MARKET, BY TYPE

8.1. Introduction
  8.1.1. Network Security
  8.1.2. End-Point Security
  8.1.3. Application Security
  8.1.4. Cloud Security

CHAPTER 9. GLOBAL GENERATIVE AI IN CYBER SECURITY MARKET, BY END USER

9.1. Introduction
  9.1.1. Banking, Financial Services, and Insurance (BFSI)
  9.1.2. IT & Telecom
  9.1.3. Healthcare and Life Sciences
  9.1.4. Government and Defense
  9.1.5. Retail and E-commerce
  9.1.6. IT and Telecom
  9.1.7. Others

CHAPTER 10. GLOBAL GENERATIVE AI IN CYBER SECURITY MARKET, BY REGION

10.1. Introduction
10.2. North America
  10.2.1. North America: Market Size and Forecast, By Country, 2021 – 2034 ($ Million)
  10.2.2. North America: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
  10.2.3. North America: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
  10.2.4. North America: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
  10.2.5. North America: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.2.6. US
    10.2.6.1. US: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.2.6.2. US: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.2.6.3. US: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.2.6.4. US: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.2.7. Canada
    10.2.7.1. Canada: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.2.7.2. Canada: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.2.7.3. Canada: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.2.7.4. Canada: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.2.8. Mexico
    10.2.8.1. Mexico: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.2.8.2. Mexico: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.2.8.3. Mexico: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.2.8.4. Mexico: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
10.3. Europe
  10.3.1. Europe: Market Size and Forecast, By Country, 2021 – 2034 ($ Million)
  10.3.2. Europe: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
  10.3.3. Europe: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
  10.3.4. Europe: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
  10.3.5. Europe: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.3.6. U.K.
    10.3.6.1. U.K.: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.3.6.2. U.K.: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.3.6.3. U.K.: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.3.6.4. U.K.: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.3.7. Germany
    10.3.7.1. Germany: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.3.7.2. Germany: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.3.7.3. Germany: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.3.7.4. Germany: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.3.8. France
    10.3.8.1. France: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.3.8.2. France: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.3.8.3. France: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.3.8.4. France: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.3.9. Italy
    10.3.9.1. Italy: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.3.9.2. Italy: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.3.9.3. Italy: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.3.9.4. Italy: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.3.10. Spain
    10.3.10.1. Spain: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.3.10.2. Spain: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.3.10.3. Spain: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.3.10.4. Spain: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.3.11. BeNeLux
    10.3.11.1. BeNeLux: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.3.11.2. BeNeLux: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.3.11.3. BeNeLux: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.3.11.4. BeNeLux: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.3.12. Russia
    10.3.12.1. Russia: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.3.12.2. Russia: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.3.12.3. Russia: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.3.12.4. Russia: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.3.13. Rest of Europe
    10.3.13.1. Rest of Europe: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.3.13.2. Rest of Europe: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.3.13.3. Rest of Europe: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.3.13.4. Rest of Europe: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
10.4. Asia Pacific
  10.4.1. Asia Pacific: Market Size and Forecast, By Country, 2021 – 2034 ($ Million)
  10.4.2. Asia Pacific: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
  10.4.3. Asia Pacific: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
  10.4.4. Asia Pacific: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
  10.4.5. Asia Pacific: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.4.6. China
    10.4.6.1. China: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.4.6.2. China: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.4.6.3. China: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.4.6.4. China: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.4.7. Japan
    10.4.7.1. Japan: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.4.7.2. Japan: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.4.7.3. Japan: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.4.7.4. Japan: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.4.8. Australia
    10.4.8.1. Australia: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.4.8.2. Australia: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.4.8.3. Australia: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.4.8.4. Australia: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.4.9. India
    10.4.9.1. India: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.4.9.2. India: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.4.9.3. India: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.4.9.4. India: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.4.10. South Korea
    10.4.10.1. South Korea: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.4.10.2. South Korea: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.4.10.3. South Korea: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.4.10.4. South Korea: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.4.11. Malaysia
    10.4.11.1. Malaysia: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.4.11.2. Malaysia: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.4.11.3. Malaysia: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.4.11.4. Malaysia: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.4.12. Thailand
    10.4.12.1. Thailand: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.4.12.2. Thailand: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.4.12.3. Thailand: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.4.12.4. Thailand: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.4.13. Indonesia
    10.4.13.1. Indonesia: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.4.13.2. Indonesia: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.4.13.3. Indonesia: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.4.13.4. Indonesia: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.4.14. Rest of Asia Pacific
    10.4.14.1. Rest of Asia Pacific: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.4.14.2. Rest of Asia Pacific: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.4.14.3. Rest of Asia Pacific: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.4.14.4. Rest of Asia Pacific: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
10.5. South America
  10.5.1. South America: Market Size and Forecast, By Country, 2021 – 2034 ($ Million)
  10.5.2. South America: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
  10.5.3. South America: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
  10.5.4. South America: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
  10.5.5. South America: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.5.6. Brazil
    10.5.6.1. Brazil: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.5.6.2. Brazil: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.5.6.3. Brazil: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.5.6.4. Brazil: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.5.7. Argentina
    10.5.7.1. Argentina: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.5.7.2. Argentina: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.5.7.3. Argentina: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.5.7.4. Argentina: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.5.8. Rest of South America
    10.5.8.1. Rest of South America: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.5.8.2. Rest of South America: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.5.8.3. Rest of South America: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.5.8.4. Rest of South America: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
10.6. Middle East & Africa
  10.6.1. Middle East & Africa: Market Size and Forecast, By Country, 2021 – 2034 ($ Million)
  10.6.2. Middle East & Africa: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
  10.6.3. Middle East & Africa: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
  10.6.4. Middle East & Africa: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
  10.6.5. Middle East & Africa: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.6.6. Saudi Arabia
    10.6.6.1. Saudi Arabia: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.6.6.2. Saudi Arabia: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.6.6.3. Saudi Arabia: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.6.6.4. Saudi Arabia: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.6.7. UAE
    10.6.7.1. UAE: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.6.7.2. UAE: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.6.7.3. UAE: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.6.7.4. UAE: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.6.8. Egypt
    10.6.8.1. Egypt: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.6.8.2. Egypt: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.6.8.3. Egypt: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.6.8.4. Egypt: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.6.9. South Africa
    10.6.9.1. South Africa: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.6.9.2. South Africa: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.6.9.3. South Africa: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.6.9.4. South Africa: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)
  10.6.10. Rest of Middle East & Africa
    10.6.10.1. Rest of Middle East & Africa: Market Size and Forecast, By Component, 2021 – 2034 ($ Million)
    10.6.10.2. Rest of Middle East & Africa: Market Size and Forecast, By Technology, 2021 – 2034 ($ Million)
    10.6.10.3. Rest of Middle East & Africa: Market Size and Forecast, By Type, 2021 – 2034 ($ Million)
    10.6.10.4. Rest of Middle East & Africa: Market Size and Forecast, By End User, 2021 – 2034 ($ Million)

CHAPTER 11. COMPETITIVE LANDSCAPE

11.1. Competitior Benchmarking 2023
11.2. Market Share Analysis, 2022
11.3. Key Developments Analysis By Top 5 Companies
11.4. Market Share Acquisition Strategies: Analysis of Key Approaches Employed by Top Players

CHAPTER 12. COMPANY PROFILES

12.1. IBM CORPORATION
  12.1.1. Business Overview
  12.1.2. Financial Analysis
    12.1.2.1. Business Segment Revenue, 2023
    12.1.2.2. Geographic Revenue Mix, 2023
  12.1.3. Product Portfolio
  12.1.4. Recent Development and Strategies Adopted
  12.1.5. SWOT Analysis
12.2. NVIDIA Corporation
  12.2.1. Business Overview
  12.2.2. Financial Analysis
    12.2.2.1. Business Segment Revenue, 2023
    12.2.2.2. Geographic Revenue Mix, 2023
  12.2.3. Product Portfolio
  12.2.4. Recent Development and Strategies Adopted
  12.2.5. SWOT Analysis
12.3. CrowdStrike
  12.3.1. Business Overview
  12.3.2. Financial Analysis
    12.3.2.1. Business Segment Revenue, 2023
    12.3.2.2. Geographic Revenue Mix, 2023
  12.3.3. Product Portfolio
  12.3.4. Recent Development and Strategies Adopted
  12.3.5. SWOT Analysis
12.4. Acalvio Technologies Inc
  12.4.1. Business Overview
  12.4.2. Product Portfolio
  12.4.3. Recent Development and Strategies Adopted
12.5. Palo Alto Networks
  12.5.1. Business Overview
  12.5.2. Product Portfolio
  12.5.3. Recent Development and Strategies Adopted
12.6. Darktrace
  12.6.1. Business Overview
  12.6.2. Financial Analysis
    12.6.2.1. Geographic Revenue Mix, 2023
  12.6.3. Product Portfolio
  12.6.4. Recent Development and Strategies Adopted
12.7. SentinelOne
  12.7.1. Business Overview
  12.7.2. Financial Analysis
    12.7.2.1. Geographic Revenue Mix, 2023
  12.7.3. Product Portfolio
  12.7.4. Recent Development and Strategies Adopted
12.8. Cisco
  12.8.1. Business Overview
  12.8.2. Financial Analysis
    12.8.2.1. Business Segment Revenue, 2023
    12.8.2.2. Geographic Revenue Mix, 2023
  12.8.3. Product Portfolio
  12.8.4. Recent Development and Strategies Adopted
  12.8.5. SWOT Analysis
12.9. Trend Micro
  12.9.1. Business Overview
  12.9.2. Financial Analysis
  12.9.3. Product Portfolio
  12.9.4. Recent Development and Strategies Adopted
12.10. INTEL
  12.10.1. Business Overview
  12.10.2. Financial Analysis
    12.10.2.1. Business Segment Revenue, 2023
    12.10.2.2. Geographic Revenue Mix, 2023
  12.10.3. Product Portfolio
  12.10.4. Recent Development and Strategies Adopted
  12.10.5. SWOT Analysis