Next Generation 911 (2026 Edition)
Description
Next Generation 911 (NG911) represents an industry transformation that proactively enhances public safety by acknowledging and catering to the rapidly evolving demands, products, lifestyles, and technologies of citizens. In contrast to the legacy voice-centric enhanced 9-1-1 (E9-1-1) network, NG911 supports a more diverse set of Internet Protocol (IP)-based communications that will enhance the speed, accuracy, and preparation of first responders. More specifically, NG911 introduces an array of innovative features and functionality that will significantly expand public safety capabilities and allow end users to efficiently relay text, data, video, and IP-based voice calls in emergency situations.
The proliferation of the Internet of Things (IoT), smart cities, connected vehicles, and wearables will trigger new growth opportunities for NG911 systems that can source, manage, and monetize connected data sources to enhance incident intelligence and situational awareness for first responders. The volume of connected data now available to public safety entities and the velocity at which it must be processed can overwhelm the capabilities of existing public safety systems, requiring new solutions.
Machine learning (ML), artificial intelligence (AI), and cloud platforms will be critical for managing, organizing, and analyzing the massive amounts of new data sources now enabled by NG911. The ability to determine “what is relevant” from “what is noise” in the context of emergency events will be essential to optimizing outcomes. As the public safety sector evolves to be a more data-intensive environment and applications become more sophisticated, a platform-centric approach to NG911 has become the preferred architecture to future-proof NG911 systems.
In this study Frost & Sullivan outlines the NG911 vision and its progress; analyzes key industry trends and market dynamics; identifies key market participants in the NG911 ecosystem and maps out where they reside on the NG911 value chain; provides an overview of an i3-compliant NG911 system; analyzes partnerships between ecosystem participants; provides market metrics and forecasts for NG911 penetration and revenues (2025–2030); and provides market share for NG911 primary contract holders, Next Gen Core Services (NGCS) providers, and Call Handling Equipment (CHE) providers.
The proliferation of the Internet of Things (IoT), smart cities, connected vehicles, and wearables will trigger new growth opportunities for NG911 systems that can source, manage, and monetize connected data sources to enhance incident intelligence and situational awareness for first responders. The volume of connected data now available to public safety entities and the velocity at which it must be processed can overwhelm the capabilities of existing public safety systems, requiring new solutions.
Machine learning (ML), artificial intelligence (AI), and cloud platforms will be critical for managing, organizing, and analyzing the massive amounts of new data sources now enabled by NG911. The ability to determine “what is relevant” from “what is noise” in the context of emergency events will be essential to optimizing outcomes. As the public safety sector evolves to be a more data-intensive environment and applications become more sophisticated, a platform-centric approach to NG911 has become the preferred architecture to future-proof NG911 systems.
In this study Frost & Sullivan outlines the NG911 vision and its progress; analyzes key industry trends and market dynamics; identifies key market participants in the NG911 ecosystem and maps out where they reside on the NG911 value chain; provides an overview of an i3-compliant NG911 system; analyzes partnerships between ecosystem participants; provides market metrics and forecasts for NG911 penetration and revenues (2025–2030); and provides market share for NG911 primary contract holders, Next Gen Core Services (NGCS) providers, and Call Handling Equipment (CHE) providers.
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