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UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Market Size, Share, Growth Drivers, Trends, Opportunities, Competitive Landscape & Forecast 2025–2030

Publisher Ken Research
Published Oct 10, 2025
Length 81 Pages
SKU # AMPS20596636

Description

UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Market Overview

The UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Market is valued at USD 1.2 billion, based on a five-year historical analysis. This growth is primarily driven by the increasing frequency of cyber threats, the rising adoption of cloud technologies, and the growing need for advanced security solutions across various sectors. Organizations are increasingly investing in AI-powered platforms to enhance their threat detection and response capabilities.

Key cities dominating this market include Dubai and Abu Dhabi, which are recognized for their robust technological infrastructure and a high concentration of businesses across various industries. The UAE's strategic location as a business hub in the Middle East, coupled with government initiatives to promote digital transformation, further solidifies its position as a leader in the cyber threat hunting space.

In 2023, the UAE government implemented the National Cybersecurity Strategy, which mandates organizations to adopt advanced cybersecurity measures, including AI-driven threat hunting platforms. This regulation aims to enhance the nation’s resilience against cyber threats and protect critical infrastructure, thereby fostering a secure digital environment for businesses and citizens alike.

UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Market Segmentation

By Type:

The market is segmented into various types of platforms that cater to different aspects of cyber threat management. The subsegments include Threat Detection Platforms, Incident Response Platforms, Threat Intelligence Platforms, Security Information and Event Management (SIEM), Endpoint Detection and Response (EDR), Network Security Platforms, and Others. Among these, Threat Detection Platforms are currently leading the market due to their critical role in identifying and mitigating threats before they can cause significant damage. The increasing sophistication of cyber threats has driven organizations to prioritize investments in these platforms, making them essential for maintaining cybersecurity.

By End-User:

The end-user segmentation includes Government, Financial Services, Healthcare, Retail, Telecommunications, Energy and Utilities, and Others. The Government sector is currently the dominant end-user, driven by the increasing need for robust cybersecurity measures to protect sensitive data and critical infrastructure. The rise in cyber threats targeting public sector entities has led to significant investments in AI-powered cyber threat hunting platforms, making this sector a key player in the market.

UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Market Competitive Landscape

The UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Market is characterized by a dynamic mix of regional and international players. Leading participants such as Darktrace, CrowdStrike, Palo Alto Networks, FireEye, McAfee, Check Point Software Technologies, IBM Security, Cisco Systems, Fortinet, Splunk, SentinelOne, Trend Micro, RSA Security, Sophos, Zscaler contribute to innovation, geographic expansion, and service delivery in this space.

Darktrace

2013

Cambridge, UK

CrowdStrike

2011

Sunnyvale, California, USA

Palo Alto Networks

2005

Santa Clara, California, USA

FireEye

2004

Milpitas, California, USA

McAfee

1987

Santa Clara, California, USA

Company

Establishment Year

Headquarters

Group Size (Large, Medium, or Small as per industry convention)

Revenue Growth Rate

Customer Acquisition Cost

Customer Retention Rate

Market Penetration Rate

Pricing Strategy

UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Market Industry Analysis

Growth Drivers

Increasing Cybersecurity Threats:

The UAE has witnessed a significant rise in cyber threats, with reported incidents increasing by 30% in the future, according to the UAE Cybersecurity Council. This surge necessitates advanced cybersecurity solutions, particularly AI-powered platforms that can proactively identify and mitigate threats. The growing reliance on digital infrastructure, with over 90% of businesses adopting cloud services, further amplifies the demand for robust cyber threat hunting capabilities to safeguard sensitive data and maintain operational integrity.

Government Initiatives for Cybersecurity:

The UAE government has invested approximately AED 1.5 billion in cybersecurity initiatives as part of its National Cybersecurity Strategy. This includes the establishment of the UAE Cybersecurity Council and various public-private partnerships aimed at enhancing national security. Such initiatives not only bolster the regulatory framework but also stimulate market growth by encouraging organizations to adopt advanced cyber threat hunting platforms to comply with government standards and protect critical infrastructure.

Adoption of Cloud Technologies:

The UAE's cloud computing market is projected to reach AED 12 billion in the future, driven by the increasing adoption of cloud technologies across various sectors. This shift enables organizations to leverage AI-powered cyber threat hunting platforms that are scalable and cost-effective. With over 70% of enterprises in the UAE migrating to cloud environments, the demand for integrated cybersecurity solutions that can operate seamlessly in these ecosystems is expected to rise significantly, enhancing overall market growth.

Market Challenges

High Implementation Costs:

The initial investment required for deploying AI-powered cyber threat hunting platforms can be substantial, often exceeding AED 500,000 for mid-sized enterprises. This financial barrier can deter organizations from adopting advanced cybersecurity solutions, particularly in a region where budget constraints are prevalent. As a result, many businesses may opt for less effective, traditional security measures, leaving them vulnerable to sophisticated cyber threats and undermining overall market growth.

Shortage of Skilled Professionals:

The UAE faces a significant skills gap in cybersecurity, with an estimated shortage of 3,000 qualified professionals in the future. This lack of expertise hampers the effective implementation and management of AI-powered cyber threat hunting platforms. Organizations struggle to find skilled personnel capable of leveraging these advanced technologies, which can lead to underutilization of resources and increased vulnerability to cyber threats, ultimately posing a challenge to market expansion.

UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Market Future Outlook

The future of the UAE cloud-based AI-powered cyber threat hunting platforms market appears promising, driven by increasing investments in cybersecurity and the growing recognition of the importance of proactive threat detection. As organizations continue to embrace digital transformation, the integration of AI and machine learning technologies will enhance the effectiveness of threat hunting solutions. Additionally, the collaboration between government entities and private sectors will foster innovation, leading to the development of more sophisticated cybersecurity frameworks that address emerging threats and compliance requirements.

Market Opportunities

Expansion of SMEs in Cybersecurity:

The rise of small and medium-sized enterprises (SMEs) in the UAE presents a significant opportunity for cloud-based AI-powered cyber threat hunting platforms. With over 90% of businesses classified as SMEs, there is a growing need for affordable and scalable cybersecurity solutions tailored to their unique challenges, creating a lucrative market segment for providers.

Integration with IoT Devices:

The increasing proliferation of Internet of Things (IoT) devices in the UAE, projected to reach 1.5 billion in the future, offers a substantial opportunity for cybersecurity solutions. Integrating AI-powered threat hunting platforms with IoT devices can enhance security measures, enabling real-time monitoring and threat detection, thereby addressing vulnerabilities associated with interconnected systems and driving market growth.

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Table of Contents

81 Pages
1. UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Size, Share, Growth Drivers, Trends, Opportunities, Competitive Landscape & – Market Overview
1.1. Definition and Scope
1.2. Market Taxonomy
1.3. Market Growth Rate
1.4. Market Segmentation Overview
2. UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Size, Share, Growth Drivers, Trends, Opportunities, Competitive Landscape & – Market Size (in USD Bn), 2019–2024
2.1. Historical Market Size
2.2. Year-on-Year Growth Analysis
2.3. Key Market Developments and Milestones
3. UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Size, Share, Growth Drivers, Trends, Opportunities, Competitive Landscape & – Market Analysis
3.1. Growth Drivers
3.1.1. Increasing Cybersecurity Threats in UAE
3.1.2. Government Initiatives for Cybersecurity Enhancement
3.1.3. Rapid Adoption of Cloud Technologies
3.1.4. Rising Demand for Real-Time Threat Detection Solutions
3.2. Restraints
3.2.1. High Implementation Costs of Cybersecurity Solutions
3.2.2. Shortage of Skilled Cybersecurity Professionals
3.2.3. Rapidly Evolving Cyber Threat Landscape
3.2.4. Regulatory Compliance Challenges
3.3. Opportunities
3.3.1. Expansion of SMEs in Cybersecurity Sector
3.3.2. Integration of Cybersecurity Solutions with IoT Devices
3.3.3. Strategic Partnerships with Telecom Providers
3.3.4. Development of Advanced AI Algorithms for Threat Detection
3.4. Trends
3.4.1. Increased Investment in Cybersecurity Technologies
3.4.2. Shift Towards Managed Security Services
3.4.3. Growing Adoption of AI and Machine Learning in Cybersecurity
3.4.4. Focus on User Behavior Analytics for Threat Prevention
3.5. Government Regulation
3.5.1. Data Protection Laws in UAE
3.5.2. Cybersecurity Frameworks Established by Authorities
3.5.3. Compliance with International Cybersecurity Standards
3.5.4. National Cybersecurity Strategy Initiatives
4. UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Size, Share, Growth Drivers, Trends, Opportunities, Competitive Landscape & – Market Segmentation, 2024
4.1. By Type (in Value %)
4.1.1. Threat Detection Platforms
4.1.2. Incident Response Platforms
4.1.3. Threat Intelligence Platforms
4.1.4. Security Information and Event Management (SIEM)
4.1.5. Endpoint Detection and Response (EDR)
4.1.6. Network Security Platforms
4.1.7. Others
4.2. By End-User (in Value %)
4.2.1. Government
4.2.2. Financial Services
4.2.3. Healthcare
4.2.4. Retail
4.2.5. Telecommunications
4.2.6. Energy and Utilities
4.2.7. Others
4.3. By Deployment Model (in Value %)
4.3.1. Public Cloud
4.3.2. Private Cloud
4.3.3. Hybrid Cloud
4.4. By Service Model (in Value %)
4.4.1. Software as a Service (SaaS)
4.4.2. Platform as a Service (PaaS)
4.4.3. Infrastructure as a Service (IaaS)
4.5. By Pricing Model (in Value %)
4.5.1. Subscription-Based
4.5.2. Pay-As-You-Go
4.5.3. One-Time License Fee
4.5.4. Others
4.6. By Region (in Value %)
4.6.1. Abu Dhabi
4.6.2. Dubai
4.6.3. Sharjah
4.6.4. Ajman
4.6.5. Ras Al Khaimah
4.6.6. Fujairah
4.6.7. Others
5. UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Size, Share, Growth Drivers, Trends, Opportunities, Competitive Landscape & – Market Cross Comparison
5.1. Detailed Profiles of Major Companies
5.1.1. Darktrace
5.1.2. CrowdStrike
5.1.3. Palo Alto Networks
5.1.4. FireEye
5.1.5. McAfee
5.2. Cross Comparison Parameters
5.2.1. Revenue Growth Rate
5.2.2. Customer Acquisition Cost
5.2.3. Customer Retention Rate
5.2.4. Market Penetration Rate
5.2.5. Pricing Strategy
6. UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Size, Share, Growth Drivers, Trends, Opportunities, Competitive Landscape & – Market Regulatory Framework
6.1. Cybersecurity Standards in UAE
6.2. Compliance Requirements and Audits
6.3. Certification Processes
7. UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Size, Share, Growth Drivers, Trends, Opportunities, Competitive Landscape & – Market Future Size (in USD Bn), 2025–2030
7.1. Future Market Size Projections
7.2. Key Factors Driving Future Market Growth
8. UAE Cloud-Based AI-Powered Cyber Threat Hunting Platforms Size, Share, Growth Drivers, Trends, Opportunities, Competitive Landscape & – Market Future Segmentation, 2030
8.1. By Type (in Value %)
8.2. By End-User (in Value %)
8.3. By Deployment Model (in Value %)
8.4. By Service Model (in Value %)
8.5. By Pricing Model (in Value %)
8.6. By Region (in Value %)
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