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Edge AI For Cybersecurity Global Market Report 2025
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Edge AI for cybersecurity refers to the use of artificial intelligence deployed directly on local devices or servers to analyze and detect threats in real time. This method reduces latency, enhances response times, and improves data privacy by processing information locally rather than depending on centralized cloud systems. It is especially beneficial in scenarios involving high data volumes or remote locations, enabling quick and autonomous threat response.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The primary offerings in edge AI for cybersecurity include hardware, software, and services. Hardware encompasses the physical components of a computing system-such as processors, memory units, sensors, and networking devices-that facilitate data processing and the execution of software functions. Edge AI is applied in various areas such as identity and access management, natural language processing, data loss prevention, unified threat management, fraud detection and prevention, threat intelligence, and more. It serves a wide range of industries, including banking, financial services and insurance (BFSI), retail, government and defense, manufacturing, enterprise, healthcare, automotive and transportation, among others.

The edge ai for cybersecurity market research report is one of a series of new reports from The Business Research Company that provides edge ai for cybersecurity market statistics, including edge ai for cybersecurity industry global market size, regional shares, competitors with a edge ai for cybersecurity market share, detailed edge ai for cybersecurity market segments, market trends and opportunities, and any further data you may need to thrive in the edge ai for cybersecurity industry. This edge ai for cybersecurity market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The edge AI for cybersecurity market size has grown exponentially in recent years. It will grow from$32.83 billion in 2024 to $45.53 billion in 2025 at a compound annual growth rate (CAGR) of 38.7%. The growth during the historic period can be attributed to the rise in cyber threats, increased adoption of IoT devices, a growing demand for real-time threat detection, regulatory compliance requirements, and heightened concerns around cloud security.

The edge AI for cybersecurity market size is expected to see exponential growth in the next few years. It will grow to$168.24 billion in 2029 at a compound annual growth rate (CAGR) of 38.6%. The growth during the forecast period can be attributed to the expansion of 5G networks, increasing adoption of edge computing, a rising demand for zero-trust security models, growing deployment of AI-driven security solutions, and stricter data privacy regulations. Key trends expected in this period include advancements in federated learning, innovations in AI-driven threat intelligence, developments in real-time anomaly detection, research and advancements in edge security architectures, and increased automation in cybersecurity response.

The growing emphasis on data privacy is expected to significantly boost the edge AI for cybersecurity market in the coming years. Data privacy involves safeguarding sensitive information from unauthorized access, misuse, or disclosure, while ensuring individuals maintain control over how their personal data is collected, stored, and shared. As cyber threats increase, along with stricter data protection regulations and concerns about digital surveillance, both businesses and consumers are prioritizing data security. Edge AI for cybersecurity plays a crucial role in protecting sensitive data, enhancing real-time threat detection, and ensuring compliance with stringent privacy laws. For example, in March 2024, a report from Edge Delta, a US-based software company, highlighted that the European Union fined social media platforms $3.1 billion for privacy violations in 2022. The report also noted that 51% of global consumers used browser privacy modes, and 26% of U.S. states implemented data privacy laws in 2022. This growing concern about data protection is driving the adoption of edge AI for cybersecurity solutions.

Key players in the edge AI for cybersecurity market are increasingly incorporating TinyML (Tiny Machine Learning) technology into their solutions to improve real-time threat detection while minimizing energy consumption. TinyML enables highly efficient AI models to run on low-power edge devices, which accelerates security responses while reducing the computational burden. For instance, in March 2025, CISO Global Inc., a US-based IT service management company, introduced CISO Edge, an AI-powered cloud security solution designed to enhance cyber resilience in enterprises. This platform utilizes AI-driven analytics to provide real-time threat detection, continuous monitoring, and adaptive risk management across cloud, hybrid, and remote environments. CISO Edge integrates advanced machine learning to automate security responses, reducing the need for human intervention, improving operational efficiency, and ensuring compliance with stringent cybersecurity regulations.

In July 2023, EDGE Group, a UAE-based defense and security company, acquired OryxLabs for an undisclosed amount. This acquisition strengthens Edge Group's cybersecurity capabilities by incorporating OryxLabs' expertise in AI-driven security solutions, big data analytics, and advanced research. The integration of OryxLabs will help Edge Group develop scalable, modular, and proactive cybersecurity measures to address emerging threats in both local and international markets. OryxLabs, also based in the UAE, specializes in AI-powered threat detection and real-time security solutions utilizing big data analytics.

Major players in the edge ai for cybersecurity market are Samsung Electronics Co Ltd., NVIDIA Corporation, Amazon Web Services Inc., Intel Corporation, IBM Corporation, Cisco Systems Inc., Fortinet Inc., Check Point Software Technologies, FireEye Inc.(Trellix), CrowdStrike Holdings Inc, CyberArk Software Ltd., SentinelOne Inc., Darktrace Holdings Ltd., Cybereason, Exabeam(Logrhythm), Securonix Inc., Vectra AI Inc., Nozomi Networks, Sophos Ltd., Acalvio Technologies Inc., Cylance Inc. (Arctic Wolf), AI EdgeLabs.

North America was the largest region in the edge AI for cybersecurity market in 2024. The regions covered in edge AI for cybersecurity report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the edge AI for cybersecurity market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The edge AI for cybersecurity market includes revenues earned by entities by providing services such as intrusion detection and prevention, threat intelligence, and real-time anomaly detection. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The edge AI for cybersecurity market consists of sales of AI-powered malware detection solutions, blockchain-based security solutions, adaptive risk assessment systems, and biometric authentication solutions. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Edge AI For Cybersecurity Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on edge ai for cybersecurity market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for edge ai for cybersecurity ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The edge ai for cybersecurity market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Edge AI For Cybersecurity Market Characteristics

3. Edge AI For Cybersecurity Market Trends And Strategies

4. Edge AI For Cybersecurity Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Edge AI For Cybersecurity Growth Analysis And Strategic Analysis Framework

6. Edge AI For Cybersecurity Market Segmentation

7. Edge AI For Cybersecurity Market Regional And Country Analysis

8. Asia-Pacific Edge AI For Cybersecurity Market

9. China Edge AI For Cybersecurity Market

10. India Edge AI For Cybersecurity Market

11. Japan Edge AI For Cybersecurity Market

12. Australia Edge AI For Cybersecurity Market

13. Indonesia Edge AI For Cybersecurity Market

14. South Korea Edge AI For Cybersecurity Market

15. Western Europe Edge AI For Cybersecurity Market

16. UK Edge AI For Cybersecurity Market

17. Germany Edge AI For Cybersecurity Market

18. France Edge AI For Cybersecurity Market

19. Italy Edge AI For Cybersecurity Market

20. Spain Edge AI For Cybersecurity Market

21. Eastern Europe Edge AI For Cybersecurity Market

22. Russia Edge AI For Cybersecurity Market

23. North America Edge AI For Cybersecurity Market

24. USA Edge AI For Cybersecurity Market

25. Canada Edge AI For Cybersecurity Market

26. South America Edge AI For Cybersecurity Market

27. Brazil Edge AI For Cybersecurity Market

28. Middle East Edge AI For Cybersecurity Market

29. Africa Edge AI For Cybersecurity Market

30. Edge AI For Cybersecurity Market Competitive Landscape And Company Profiles

31. Edge AI For Cybersecurity Market Other Major And Innovative Companies

32. Global Edge AI For Cybersecurity Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Edge AI For Cybersecurity Market

34. Recent Developments In The Edge AI For Cybersecurity Market

35. Edge AI For Cybersecurity Market High Potential Countries, Segments and Strategies

36. Appendix

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