Market Trends of Deep Packet Inspection And Processing Industry
Software Solution to Witness Significant Growth With Increasing Enterprise Internet Traffic
- In recent years, DPI (Deep Packet Inspection) software has evolved into a powerful tool to meet new network challenges, playing a central role in today's internet and network infrastructure. As most internet traffic is now encrypted, a reliable DPI software engine needs a tool kit of advanced techniques to classify traffic.
- DPI identifies and classifies traffic based on the signature database that includes information extracted from the data part of a packet, allowing finer control than classification based only on header information. Applications such as peer-to-peer (P2P) traffic provide increasing problems for broadband service providers.
- Typically, P2P traffic is used by applications providing file sharing. Due to its frequently large size of media files being transferred, P2P drives the increasing traffic loads, which requires additional network capacity. DPI allows operators to oversell their available bandwidth while ensuring equitable bandwidth distribution to all users by preventing network congestion.
- The network must be able to parse through content, assemble enough of an application message, and identify traffic usage and patterns based on the information. DPI functions fall into four categories: Protocol analysis/application recognition, Anti-malware/anti-virus, Intrusion Detection and Prevention (IDS/IPS), and URL filtering.
- According to the Enea AB survey, 70 percent of respondents (high-tech product managers) require the classification of connected devices in the enterprise and IoT/industrial networks. And also, the increased use of encryption and the adoption of the stringent TLS 1.3 security protocol (mandatory in 5G) threatens essential traffic visibility for many vendors. This requires Deep packet inspection and processing catering to future market growth.
- Further, most vendors report that they have or are developing cloud solutions, with half planning to offer a Secure Access Service Edge (SASE) solution that integrates security and networking in a cloud-based service. This requires the use of DPI software, which adheres to market growth.
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North America Accounts for the Significant Market Share
- The deep packet inspection and processing market has grown in Asia Pacific significantly in recent years. DPI technology enables the inspection and analysis of data packets passing through a network, providing insights into the content and context of network traffic. Enhancing network security, optimizing network performance, and enabling advanced services such as Quality Services and traffic management is crucial.
- The region is expected to grow substantially in the DPI market in the coming years. The demand is characterized by the rising adoption of advanced technologies, including 5G, IoT, and cloud computing, which generate massive data traffic. DPI technology enables network administrators and service providers to gain granular visibility and control over this data, ensuring efficient network management and enhanced user experiences.
- Network traffic analysis and management With the exponential growth in data traffic, network operators require advanced tools to analyze and manage network flows effectively. DPI technology provides granular insights into network behavior, enabling operators to optimize bandwidth allocation and enhance network performance.
- Different industries, like healthcare and finance, are subject to strict data privacy and security regulations. DPI technology ensures compliance by inspecting network traffic for policy violations and unauthorized access attempts.
- The proliferation of IoT devices and the adoption of industrial automation solutions in the region also drive the demand for DPI technology. DPI enables real-time analysis of IoT device traffic, delivering secure and reliable communication between devices and data centers.
- The emergence of the 5G network presents significant opportunities for DPI technology. With its high bandwidth, low latency, and massive connection density, 5G networks generate vast amounts of data traffic that require efficient management and analysis.
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