Latest News- Edge AI Security Market: On-premises is expected to lead the Deployment segment during 2025-2029

The Edge AI Security Market is being driven by Exponential proliferation of IoT devices and consequent expansion of attack surface

The Edge AI Security Market is expected to grow at a CAGR of 35.5% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 11689.1 million. The edge AI security market is experiencing a significant shift as generative artificial intelligence (GenAI) models, including large language models (LLMs) and diffusion models, move from cloud-based infrastructure to the network edge. This trend, referred to as GenAI on the Edge, involves deploying these advanced models directly onto devices such as next-generation personal computers, smartphones, and industrial gateways. This development offers numerous benefits, including enhanced edge device capabilities for complex reasoning, content creation, and natural language interaction, even without a consistent internet connection. However, this transition also introduces new security challenges. With the proliferation of sophisticated GenAI models at the edge, potential attack vectors expand, necessitating robust security measures to protect against unauthorized access, data breaches, and other cyber threats. 

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Which Factors Are Causing a Surge in Market Growth?

The market is segmented based on

• Deployment
  • On-premises
  • Cloud-based
  • Hybrid
• Type
  • Network security
  • Endpoint security
  • Data security
  • Application security
  • Cloud-edge security
• Application
  • Real-time threat detection
  • Secure autonomous systems
  • Smart surveillance
  • Fraud prevention
  • Critical infrastructure protection
• Geography
  • APAC
    • China
    • India
    • Japan
    • South Korea
  • North America
    • Canada
    • US
  • Europe
    • Germany
    • UK
    • France
  • South America
    • Brazil
  • Middle East and Africa

According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows: 

• Exponential proliferation of IoT devices and consequent expansion of attack surface
• Critical requirement for real-time processing and low-latency response
• Increasing emphasis on data privacy and stringent regulatory compliance

However, the market also witnesses some limitations, which are as follows:

• Severe resource constraints and extreme device heterogeneity
• Massively expanded and physically exposed attack surface
• Sophistication of AI-specific adversarial attacks

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Market Scope in Edge AI Security Market Research Report

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Research Analysis Overview

The Edge AI Security Market encompasses solutions for securing edge devices using AI security models. Threat landscape analysis is crucial, identifying potential risks through security orchestration, automation, and response. Technologies like device fingerprinting and behavioral analytics aid in malware and phishing detection. Deep learning models, neural networks, computer vision, image recognition, and object detection enhance security. Video surveillance, access control policies, data privacy regulations, and compliance with GDPR are integral. Risk assessment methodologies, security metrics, performance benchmarks, latency measurements, throughput analysis, false positive rates, and true positive rates ensure optimal security.

Market Research Overview

In the expanding IT software industry, the Edge AI Security Market represents a significant segment, focusing on ai-driven security systems that leverage edge computing for real-time threat detection. Companies specializing in this area develop and provide software solutions utilizing machine learning algorithms to secure IoT devices and edge servers. These systems ensure data privacy and security at the source, enhancing overall cybersecurity infrastructure. Technavio's market analysis calculates the Edge AI Security Market size based on the combined revenue of companies offering advanced security solutions that employ edge computing and machine learning technologies.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.

Technavio Research
Jesse Maida
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