AI In Cybersecurity Global Market Size, Trends Forecast, Strategies By 2032

The AI In Cybersecurity Global Market Report 2023, provides comprehensive information on the AI in cybersecurity market across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa for the 27 major global industries. The report covers a ten year historic period – 2010-2021, and a ten year forecast period – 2023-2032.

 

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As per The Business Research Company’s AI In Cybersecurity Global Market Report 2023, the market size is expected to grow from $15.93 billion in 2022 to $20.00 billion in 2023 at a compound annual growth rate (CAGR) of 25.51%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, and affecting many every market across the globe. The global AI in cybersecurity market size is expected to reach $49.23 billion in 2027 at a CAGR of 25.26%.

 

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Product innovation is a key trend gaining popularity in the AI In cybersecurity market. Companies operating in the AI In cybersecurity market are developing innovative solutions to sustain their position in the market. For instance, in September 2020, Microsoft, a US-based multinational technology corporation, unveiled unified SIEM and XDR to modernize security operations. Microsoft XDR (Extended Detection and Response) works by integrating data from multiple sources, including endpoint devices, cloud services, and email accounts, into a centralized platform. Machine learning techniques are then used to examine the data in order to identify possible dangers and offer information on security occurrences. In order to identify security issues and take appropriate action, Microsoft XDR heavily relies on AI and machine learning algorithms. It uses AI to automatically detect anomalous behavior, such as unusual user activity or network traffic, which could indicate a security breach. Overall, the use of AI in Microsoft XDR improves speed and accuracy of threat detection and response, while also reducing the workload on security teams by automating many routine tasks.

 

The AI in cybersecurity market is segmented:

1) By Offering: Hardware, Software, Services
2) By Technology: Machine learning, Natural Language Processing (NLP), Context-Aware Computing
3) By Security Type: Network Security, Endpoint Security, Application Security, Cloud Security

North America was the largest region in the AI in cybersecurity market in 2022.

 

The table of contents in TBRC’s AI in cybersecurity market report includes:
1. Executive Summary
2. AI In Cybersecurity Market Characteristics
3. AI In Cybersecurity Market Trends And Strategies
4. AI In Cybersecurity Market – Macro Economic Scenario
5. COVID-19 Impact On AI In Cybersecurity Market
…………………………………26. Africa AI In Cybersecurity Market
27. AI In Cybersecurity Market Competitive Landscape And Company Profiles
28. Key Mergers And Acquisitions In The AI In Cybersecurity Market
29. AI In Cybersecurity Market Future Outlook and Potential Analysis
30. Appendix

 

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