Secure Web Gateway Market Rewriting Long Term | Cisco Systems Inc, McAfee LLC, Forcepoint LLC
Secure Web Gateway Market size was valued at USD 10.33 billion in 2023 and is projected to grow from USD 12.29 billion in 2024 to USD 45.32 billion by 2031, exhibiting a CAGR of 20.49% during the forecast period.
A 2024 study by the National University reveals a 75% increase in cloud environment intrusions over the past year. As of 2023, more than 72% of businesses globally were impacted by ransomware attacks. Additionally, 82% of data breaches involved cloud-based data, with ransomware being the primary threat. Furthermore, 52% of organizations faced ransomware attacks that had a significant impact on their business systems and operations.
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List of Key Companies in Secure Web Gateway Market
Cisco Systems Inc.
McAfee LLC
Forcepoint LLC
Cloudflare Inc.
Palo Alto Networks Inc.
Sophos Group plc
Barracuda Networks Inc.
Broadcom Inc.
Trend Micro Inc.
IBM Corporation
Key Industry Developments:
July 2024 (Partnership): McAfee announced the extension of its ten-year partnership with Samsung, focusing on enhancing protection against online threats to consumer privacy, identity, and personal information. This collaboration aims to provide Samsung Galaxy device users with comprehensive security solutions powered by AI technology
May 2024 (Acquisition): Cloudflare announced its acquisition of BastionZero, a platform focused on Zero Trust infrastructure access. This acquisition aims to enhance Cloudflare's Zero Trust Network Access (ZTNA) capabilities, specifically for managing access to critical infrastructure such as servers, Kubernetes clusters, and databases.
The Secure Web Gateway market is also benefiting from advancements in technology, particularly in areas such as artificial intelligence (AI) and machine learning. These technologies enable Secure Web Gateways to detect and respond to threats in real-time, providing organizations with proactive security measures.
AI-powered SWG solutions can analyze vast amounts of data to identify patterns and anomalies that may indicate a potential threat. Machine learning algorithms can continuously adapt to new threats, ensuring that the security measures in place are always up to date. This level of automation and intelligence is critical in a landscape where cyber threats are becoming more advanced and harder to detect.