Skip to main content

Kentik Market Intelligence Launched

Kentik announced the launch of Kentik Market Intelligence (KMI), a new product that gives internet service providers (ISPs) and digital businesses a way to navigate and interpret the global internet ecosystem.

With KMI, users gain competitive intelligence to benchmark how their network stacks up against others, establish cost-reducing peering relationships, understand the most widely connected providers in different geographies, and prospect for new sales opportunities.

“The launch of Kentik Market Intelligence comes from popular demand. For too long, ISPs have relied on a mix of oral tradition and the manual process of crunching vast amounts of routing-table data to try to understand how networks connect to each other,” said Avi Freedman, Co-founder and CEO of Kentik.

The benefits of KMI for engineering, marketing and sales teams include:

- Benchmarking against competitors and the internet: Monitor how competitors’ rankings are evolving. See which service providers connect to the most customer networks in any market. Get alerts when there are changes to relationships.

- Cost-reducing, data-driven peering and interconnection decisions: Learn about customers, providers and peer relationships of any autonomous system (AS) in any country to support network expansion and interconnection.

- Prospecting for new sales opportunities: Identify competitors’ customers in any market, including whether or not they are critically dependent on a single upstream provider.

- Market expansion: Understand the reach and relative market share of each autonomous system number (ASN) across geographies of interest. Market network connectivity based on objective ranking data in a geographical market.

KMI processes hundreds of millions of BGP routing announcements every day and classifies AS relationships into peering and transit. As a result, KMI users can identify the relative size of providers, peers and customers for any AS in any geography. The information is presented in easy to interpret rankings and charts.

Some of the top networks and internet-traffic carriers across various geographies include: Arelion (formerly Telia Carrier), Cogent, GTT Communications, Hurricane Electric, Lumen, NTT America, PCCW Global, Tata Communications, Telecom Italia Sparkle, and Zayo.

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Kentik Market Intelligence Launched

Kentik announced the launch of Kentik Market Intelligence (KMI), a new product that gives internet service providers (ISPs) and digital businesses a way to navigate and interpret the global internet ecosystem.

With KMI, users gain competitive intelligence to benchmark how their network stacks up against others, establish cost-reducing peering relationships, understand the most widely connected providers in different geographies, and prospect for new sales opportunities.

“The launch of Kentik Market Intelligence comes from popular demand. For too long, ISPs have relied on a mix of oral tradition and the manual process of crunching vast amounts of routing-table data to try to understand how networks connect to each other,” said Avi Freedman, Co-founder and CEO of Kentik.

The benefits of KMI for engineering, marketing and sales teams include:

- Benchmarking against competitors and the internet: Monitor how competitors’ rankings are evolving. See which service providers connect to the most customer networks in any market. Get alerts when there are changes to relationships.

- Cost-reducing, data-driven peering and interconnection decisions: Learn about customers, providers and peer relationships of any autonomous system (AS) in any country to support network expansion and interconnection.

- Prospecting for new sales opportunities: Identify competitors’ customers in any market, including whether or not they are critically dependent on a single upstream provider.

- Market expansion: Understand the reach and relative market share of each autonomous system number (ASN) across geographies of interest. Market network connectivity based on objective ranking data in a geographical market.

KMI processes hundreds of millions of BGP routing announcements every day and classifies AS relationships into peering and transit. As a result, KMI users can identify the relative size of providers, peers and customers for any AS in any geography. The information is presented in easy to interpret rankings and charts.

Some of the top networks and internet-traffic carriers across various geographies include: Arelion (formerly Telia Carrier), Cogent, GTT Communications, Hurricane Electric, Lumen, NTT America, PCCW Global, Tata Communications, Telecom Italia Sparkle, and Zayo.

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...