Mist AI uses a combination of artificial intelligence, machine learning, and data science techniques to optimize user experiences and simplify operations across the wireless access, wired access, and SD-WAN domains.
Product | Market Share (%) |
---|---|
Mist AI and Cloud | 1.8% |
Aruba Wireless | 16.0% |
Ruckus Wireless | 14.1% |
Other | 68.1% |
Type | Title | Date | |
---|---|---|---|
Category | Wireless LAN | Aug 29, 2025 | Download |
Product | Reviews, tips, and advice from real users | Aug 29, 2025 | Download |
Comparison | Mist AI and Cloud vs Aruba Wireless | Aug 29, 2025 | Download |
Comparison | Mist AI and Cloud vs Ruckus Wireless | Aug 29, 2025 | Download |
Comparison | Mist AI and Cloud vs Cisco Wireless | Aug 29, 2025 | Download |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
Aruba Wireless | 4.2 | 16.0% | 86% | 149 interviewsAdd to research |
Juniper Mist Wireless Access Points | 4.4 | 5.6% | 100% | 23 interviewsAdd to research |
Company Size | Count |
---|---|
Small Business | 8 |
Midsize Enterprise | 7 |
Large Enterprise | 7 |
Company Size | Count |
---|---|
Small Business | 155 |
Midsize Enterprise | 108 |
Large Enterprise | 411 |
Data is ingested from numerous sources, including Juniper Mist Access Points, Switches, Session Smart Routers, and Firewalls for end-to-end insight into user experiences. These devices work in concert with Mist AI to optimize user experiences from client-to-cloud, including automated event correlation, root cause identification, Self-Driving Network™ operations, network assurance, proactive anomaly detection, and more.
Juniper also leverages Mist AI for next-generation customer support. It is the foundational element behind Marvis, the industry’s first AI-driven Virtual Network Assistant, which provides extensive insight and guidance to IT staff via a natural language conversational interface.
With Mist AI, operators save time and money with faster problem resolution and fewer onsite visits. Users benefit from a network infrastructure that is more predictable, reliable, and measurable.
Mist AI and Cloud was previously known as Mist Access Points.
Dartmouth, Hitachi, Memorial Sloan Kettering Cancer Center, Nebraska Furniture Mart, NTT, Okta
Author info | Rating | Review Summary |
---|---|---|
Network Manager at Bread LLC | 4.0 | We transitioned from Cisco Wireless to Mist AI and Cloud, primarily for its excellent analytics and automation features, which ease management and troubleshooting. However, support has weakened post-integration with HP. It's economically beneficial, providing cost-effective training and certification. |
Global Juniper Presales at Westcon-Comstor | 5.0 | I've used Mist AI and Cloud for over five years; it's easy to set up, cost-effective, and offers strong automation, real-time insights, and location services, though third-party device management could be improved. |
Sr Pre-sales Network & Security Consultant at a consultancy with 1-10 employees | 4.0 | I'm a certified Mist engineer with extensive experience using Mist and Juniper technologies for AI-driven automation. While Mist is effective in troubleshooting network issues, further improvements are needed in the SRX solution. The AI functions provide significant ROI over five years. |
ICT manager at Thys Bouwprojecten | 3.5 | We manage a large office building and needed WiFi access across 600 offices and effective crowd control during the pandemic. Despite its cost, Mist AI's robust cloud portal and efficient integration with our Cisco infrastructure make it our preferred solution. |
CTO at Redeswirelessbrasil | 4.5 | I use Mist AI and Cloud to manage Layer 3 and Layer 2 suites and access points. The AI-driven automation and Python templates aid in rapid implementation. However, lack of local support and trial equipment in Brazil makes sales challenging. |
ICT manager at Thys Bouwprojecten | 4.0 | We extensively use Mist AI for its open microservices and APIs, enhancing our network and integrating IoT sensors for valuable insights. Despite high pricing, the solution improves user service levels, justifying its cost amid emerging competitive alternatives. |
Senior Core Network Engineer at Eurofins | 4.0 | In my experience with Mist AI and Cloud, the AI deployment process is smooth, as it automatically adjusts settings to enhance network performance. However, the configuration speed needs improvement. Overall, the system is stable and reliable. |
Sr Engineer at a construction company with 1,001-5,000 employees | 5.0 | I plan to migrate fully to the cloud, benefitting from Mist AI and Cloud's user-friendly GUI and impressive AI features. However, I believe it could improve its integrations to better support a seamless cloud deployment. |