OpenTelemetry’s latest momentum does not mean monitoring vendors disappear. It does mean they have less room to win by controlling telemetry collection alone.
By Frank Song
Software engineer and technology writer covering cloud architecture, observability, developer tooling, and operational workflow.
First published: November 2025
Last updated: November 2025
Article type: Original analysis based on public source material and operator-oriented scenario modeling
Method: This article is based on public material from the CNCF and OpenTelemetry communities, including CNCF’s 2025 project velocity analysis, the official OpenTelemetry announcement that Profiles entered public Alpha, OpenTelemetry’s Collector follow-up survey analysis, CNCF’s note on OpenTelemetry stewardship, and CNCF’s post on the Kotlin API and SDK contribution. It does not rely on leaked material, confidential customer data, or undisclosed interviews. Any scenarios below are illustrative composites designed to explain common operating patterns, not profiles of any specific company.
Editorial standard: This article is written to distinguish verified source material from interpretation, avoid overstating what a fast-growing open standard automatically means for buyers or vendors, and stay within a legally conservative framing.
Executive Summary
- OpenTelemetry’s recent momentum matters because it pushes observability closer to a shared industry substrate, not just a fast-growing project.
- CNCF said OpenTelemetry saw a 39% rise in commits in 2025 and a contributor base increase from 1,301 to 1,756, making it the second-largest CNCF project.[1]
- OpenTelemetry Profiles entering public Alpha expands the standard beyond traces, metrics, and logs toward continuous production profiling.[2]
- The OpenTelemetry Collector survey suggests real operational adoption is happening, while also showing clear pain points around configuration, stability, and operating flexibility.[3]
- For monitoring vendors, the implication is not “the end of monetization.” It is that differentiation keeps moving up the stack: workflow, storage economics, analysis, developer experience, cost control, and operational intelligence.
Who This Article Is / Is Not For
This article is for observability leaders, monitoring vendors, SREs, platform teams, technical product leaders, and buyers trying to understand what OpenTelemetry’s latest momentum changes in the vendor landscape.
This article is not for readers looking for a beginner’s explanation of what OpenTelemetry is, a feature checklist of observability platforms, or a simple “OTel good, vendors bad” argument.
Why this piece exists
The lazy version of this story is easy to write.
OpenTelemetry is growing. Therefore, proprietary monitoring vendors are in trouble.
That is catchy. It is also too shallow to help anyone make a good decision.
The more useful story is more specific: OpenTelemetry’s new momentum means that more of the industry is converging on a shared telemetry layer. That does not remove the need for vendors. It changes where vendors have room to win.
That distinction matters.
This article’s original observation is straightforward: the more OpenTelemetry becomes the default telemetry substrate, the more vendors have to prove value above the collection layer rather than through control of the collection layer itself.
The strongest signal is not just growth. It is standardization plus expansion.
CNCF’s February 2026 project velocity analysis is one of the clearest signals available. The foundation said OpenTelemetry saw a 39% rise in commits in 2025 and that its contributor base grew from 1,301 to 1,756, a 35% increase, making it the second-largest CNCF project.[1]
That is not interesting only because it is a big open source number.
It is interesting because of what kind of project OpenTelemetry is.
A lot of open source momentum reflects one of two things: a hot new niche or a useful but bounded infrastructure component. OpenTelemetry looks increasingly like something else — a project becoming part of the common instrumentation and telemetry grammar of cloud-native systems.
That matters more for vendors than simple adoption headlines do.
Then came another important signal in March 2026: OpenTelemetry Profiles entered public Alpha. The announcement describes growing momentum toward a unified industry standard for continuous production profiling, standing alongside traces, metrics, and logs.[2]
That is not a small add-on. It means the scope of what can become “standard telemetry” is widening.
When the standard gets broader, vendors lose some room to treat instrumentation format or collection path as their main moat.
The less obvious signal: OpenTelemetry is becoming operational, not just aspirational
A lot of technology standards look important in conference slides long before they become meaningfully operational.
The OpenTelemetry Collector survey matters because it suggests this project is now well past that stage.
The survey analysis shows that users are not only experimenting with the Collector — they are actively running it, monitoring it, and struggling with real operational questions. In the 2025 survey, 83% of respondents said they collect metrics from Collectors, 61% collect logs, and 25% collect traces.[3] The same analysis highlights where operators still want improvement: 63% cited configuration management and resolution, 52% cited stability, 43% wanted Collector observability to improve, and 29% wanted support for more receivers or exporters.[3]
That is exactly what mature adoption looks like.
People are no longer asking whether the project matters. They are asking how to operate it better at scale.
That shift is a major clue for monitoring vendors. It means OpenTelemetry is no longer only a compatibility checkbox or sales talking point. It is becoming part of production reality, complete with complexity, operational pain, and organizational standards work.
Why this changes the vendor conversation
The central vendor implication is simple:
The more OpenTelemetry becomes the default data plane for telemetry, the less defensible it is for vendors to treat telemetry collection itself as the primary source of product differentiation.
That does not mean vendors lose.
It means the competitive ground moves.
Historically, monitoring vendors could differentiate heavily through agents, proprietary data models, closed instrumentation paths, and the friction of getting data in. Some of that still matters. But if more teams increasingly start from a shared open telemetry layer, then the question shifts from “How do you collect data?” to “What do you do once the data arrives?”
That is a much less comfortable question for some vendors than for others.
Four things OpenTelemetry’s momentum now means for monitoring vendors
1. Vendor lock-in gets harder to defend at the collection layer
If customers can increasingly instrument once and export in more standardized ways, vendors have a weaker case for treating collection as a proprietary choke point.
That does not eliminate switching cost. It does reduce one of the oldest forms of it.
The Kotlin SDK contribution matters here too. CNCF wrote in March 2026 that OpenTelemetry has become the de facto standard for collecting and exporting telemetry data across cloud-native systems, and the Kotlin contribution expands vendor-neutral support across more client and server environments.[4]
That means the telemetry standard is not only deepening. It is broadening across language and platform boundaries.
2. Vendors will have to compete more on experience above the data layer
Once more telemetry enters through a shared standard, the harder vendor questions become:
- Can you help teams query, correlate, and explain what matters faster?
- Can you reduce operational toil?
- Can you connect telemetry to incidents, workflows, ownership, and cost?
- Can you make the platform easier to operate than stitching together open components yourself?
In other words, more of the real competition moves upward — toward workflow, analysis, UX, and business-operational context.
3. OpenTelemetry maturity creates both pressure and opportunity
The Collector survey is a warning sign and a business opportunity at the same time.
If users are struggling with configuration management, stability, and operational flexibility, that means vendors can still add a lot of value. Not by pretending the standard does not exist, but by making the standard easier to run, govern, secure, and scale.
The weak vendor response would be trying to preserve closed data paths.
The stronger response is to become the best place to operationalize OTel in production.
4. The standard itself is getting broader
Profiles entering public Alpha is a strategic signal. It says the shared layer is not frozen at metrics, logs, and traces. It is expanding toward profiling as well.[2]
That matters because the broader the common substrate becomes, the narrower the vendor moat becomes if the moat still depends mainly on owning a unique signal type.
Vendors will increasingly need to win on what they do across signals, not just whether they own one of them.
A practical way to read the shift
| OpenTelemetry momentum signal | What it means for vendors |
|---|---|
| Contributor and commit growth accelerating | OTel is becoming harder to dismiss as a side standard |
| Profiles entering public Alpha | The shared telemetry substrate is broadening |
| Collector adoption plus operator pain | There is demand for operationalization, not just instrumentation |
| Expansion into Kotlin and broader ecosystems | Vendor-neutral collection is moving across more surfaces |
The point of this table is not to predict one winner. It is to show where vendor differentiation is losing ground and where it is gaining importance.
Two mini-cases that make the shift more concrete
The scenarios below are illustrative composites based on common operating patterns. They are included to make the strategic tradeoff more concrete, not to describe any identifiable company.
Mini-case 1: the vendor that embraced OpenTelemetry but discovered the hard part was not the standard
A monitoring vendor decides early that fighting OpenTelemetry directly is a losing game.
It supports OTel well, improves its OTLP ingestion path, advertises vendor-neutral instrumentation, and wins goodwill from platform teams that want portability.
At first, that looks like the right strategy.
Then the harder question appears: if OTel is no longer a contested surface, why should customers pay a premium for this vendor rather than another one that also ingests the same telemetry?
The answer is no longer “because we support the standard.”
The answer has to become something harder and more valuable: better workflow, better analysis, better storage economics, stronger routing and governance, lower operator toil, or clearer business context.
In other words, embracing the standard helps. It does not remove the need to differentiate above it.
Mini-case 2: the buyer that adopted OTel and discovered the real problem was Collector ownership and cost governance
A platform team adopts OpenTelemetry because it wants cleaner instrumentation, lower switching friction, and a more future-proof data path.
At first, the team feels smarter than everyone else.
Instrumentation is cleaner. Pipelines are more portable. The architecture diagram looks more modern. Leadership likes the reduced vendor dependence story.
Then the operational questions begin.
Who owns Collector configuration? How should sampling differ across environments? Which teams can add exporters? How is telemetry cost governed? What happens when one vendor analyzes traces better while another handles logs better? How do you avoid rebuilding an observability platform accidentally while trying to escape lock-in?
That is where the real market starts.
The buyer no longer needs a vendor merely to ingest data. The buyer needs a vendor, or an internal platform, that makes the open telemetry layer operationally useful.
That is why OTel momentum does not end the monitoring vendor story. It rewrites it.
When OpenTelemetry momentum matters less
This trend is real, but it does not matter equally to every buyer or every vendor.
It matters less when a buyer is still too early in observability maturity to benefit from portability, when telemetry governance is weak enough that an open standard mainly adds complexity, or when the dominant problem is still basic monitoring hygiene rather than multi-signal operationalization.
It also matters less for vendors whose strongest value never depended on collection lock-in in the first place.
If your real strength is workflow, operator UX, incident intelligence, or cost-aware telemetry management, OTel momentum may be more tailwind than threat.
What success should look like if your OTel strategy is actually working
If OpenTelemetry is becoming more central, the useful success measures are not ideological. They are operational.
| Success metric | What it tells you |
|---|---|
| Telemetry pipeline ownership clarity | Whether someone clearly owns Collector operations, routing, and schema decisions |
| Configuration error rate | Whether the open standard is reducing friction or just moving it into harder-to-manage config surfaces |
| Vendor switching friction | Whether OTel is actually improving portability in practice, not just in theory |
| Cost per retained signal | Whether open collection is helping control data economics across logs, traces, metrics, and profiles |
| Time-to-root-cause across signals | Whether the chosen platform still helps humans get to decisions faster once telemetry is open |
These are not the only measures that matter. They are a useful first set because they force buyers and vendors to focus on the operating reality above the standard rather than the symbolism of the standard itself.
What this does not mean
This does not mean every monitoring vendor is suddenly commoditized.
It does not mean OpenTelemetry is easy for every organization to run well.
And it definitely does not mean buyers should assume that “open standard” automatically equals “lower total cost” or “simpler operations.”
In some organizations, OpenTelemetry reduces long-term lock-in and creates healthier architecture choices. In others, it introduces new complexity that only pays off if the organization has enough maturity to govern pipelines, schemas, routing, and ownership properly.
That is why the vendor story is not binary.
Some vendors will lose ground if they keep acting like proprietary data ingestion is the center of the universe.
Other vendors may get stronger precisely because they become the best way to operate, enrich, analyze, and govern an OTel-based telemetry estate.
Buyer / vendor decision tree
Use this as a first-pass decision aid, not as a substitute for a full product or architecture review.
| Start with this question | If yes | If no |
|---|---|---|
| Does your business still depend on differentiated collection moat? | OTel momentum is a bigger threat. | Move to the next question. |
| Does your differentiation live in analysis, workflow, cost control, or operator UX? | OTel momentum can be an opportunity. | Move to the next question. |
| Does the buyer lack the maturity to operate open telemetry pipelines well? | “Open” may increase complexity faster than it reduces lock-in. | Move to the next question. |
| Does the buyer want portability without rebuilding observability from scratch? | Vendors that operationalize OTel well gain advantage. | Move to the next question. |
| Is the platform strongest above the shared data layer rather than below it? | The vendor is better positioned for OTel’s next phase. | The roadmap may still be too dependent on collection control. |
A good review should end with one clear answer: is the next strategic move really about collection, operationalization, analysis, workflow intelligence, or cost-aware telemetry governance?
If you are a vendor, or buying from one, start here
- Ask whether the product still assumes collection lock-in as its main moat.
- Ask whether the platform gets stronger or weaker when OTel adoption increases.
- Evaluate whether the vendor helps with operating complexity: routing, governance, schema control, cost, and workflow integration.
- Separate “we support OpenTelemetry” marketing from real support for operating OTel at scale.
- Decide whether your differentiator lives below the shared data layer or above it.
By the end of that review, you should know whether the vendor’s future is really about collection, operationalization, analysis, or workflow intelligence.
The next practical step is simple: identify whether your hardest observability problem still sits in getting data in, or in making open telemetry operationally useful once the data is already there.
The real signal underneath the momentum
OpenTelemetry’s new momentum matters because it pushes observability closer to a shared standard layer that more of the industry can build on.
That does not remove the role of monitoring vendors.
It changes the basis on which they compete.
The old vendor advantage often started with control over the data path.
The newer vendor advantage will increasingly come from what happens after the data path is already open: better workflows, better economics, better operator experience, better analysis, and better ways of turning telemetry into action.
That is what OpenTelemetry’s new momentum means for monitoring vendors.
Not that they disappear.
That they have less room to win by owning telemetry collection alone.
About the author
Frank Song is a software engineer and technology writer focused on cloud architecture, observability, developer tooling, and operational workflow. He writes analytical pieces that connect ecosystem signals, open standards, and practical vendor tradeoffs for technical decision-makers.
Editorial standards and update policy
This article is written to an analysis standard rather than a promotional standard. It aims to distinguish verified source material from the author’s interpretation, avoid overstating what project momentum alone can prove, and clearly label hypothetical scenarios as illustrative composites.
The article should be updated if CNCF materially revises the cited OpenTelemetry project momentum or ecosystem notes, if OpenTelemetry changes the status of Profiles or Collector survey conclusions in later public material, or if the site adds additional technical review notes.
Source notes
[1] CNCF, What CNCF Project Velocity in 2025 Reveals About Cloud Native’s Future
[2] OpenTelemetry, Profiles Entered Public Alpha
[3] OpenTelemetry, Collector Follow-up Survey Analysis
[4] CNCF, Kotlin API and SDK contribution
[5] CNCF, OpenTelemetry stewardship note
This article is an original analysis based on those public materials. It does not claim exclusive access to confidential vendor strategy data, and it should not be read as procurement, legal, or vendor-selection advice.