Build vs. Buy: In-House Market Research Teams vs. External Research Partners
Build vs. Buy: In-House Market Research Teams vs. External Research Partners
Executive Summary
The largest research and advisory firms in the world generate the majority of their revenue from organizations that have already made the build-versus-buy decision in favor of buying - Gartner alone reported $6.50 billion in FY2025 revenue, with roughly 78% from subscription-based Insights products purchased by client organizations rather than produced internally. Yet Forrester, operating the same external-partner model, saw revenue fall 8% to $396.9 million in the same year, losing 7% of its client base. The aggregate market for external research clearly remains large, but it is not unconditionally growing, and a meaningful share of buyers are reconsidering the decision each renewal cycle. This article sets out the framework for making that decision deliberately, rather than by inertia, and for recognizing when the right answer is a hybrid model rather than an exclusive choice.
What Is the Build-vs-Buy Decision?
The build-versus-buy decision for market research is the choice between developing in-house analyst capability to produce ongoing market intelligence and research, versus purchasing that capability from external subscription research firms, custom research providers, or a combination of both. The decision is rarely binary in practice - most mature organizations operate a hybrid model - but the framework requires evaluating each capability separately rather than defaulting to one model across the entire research function.
The Core Trade-offs: A Framework
| Dimension | Build (In-House) | Buy (External Partner) |
|---|---|---|
| Fixed cost structure | High - salaries, tools, and management overhead are incurred regardless of research volume in a given period | Low - cost scales with subscription tier or project volume, with minimal fixed overhead |
| Speed to deploy | Slow initially - hiring, tool selection, and process design typically take two or more quarters before steady output | Fast - an existing subscription or project engagement can begin producing output within days to weeks |
| Institutional and proprietary context | High - an in-house team accumulates company-specific context, proprietary data access, and historical continuity that external partners must rebuild on every engagement | Lower - external partners bring cross-industry pattern recognition but start each engagement without deep company-specific context |
| Breadth of coverage | Limited by headcount - an internal team of a fixed size can only cover a finite set of categories in depth | Effectively unlimited - large external providers maintain coverage across far more categories and geographies than any single internal team could replicate |
| Surge capacity | Constrained - a sudden need for a new category or a large one-time study competes with the team's existing workload | Elastic - external partners can typically resource a large one-time engagement without disrupting an existing relationship |
| Cost at scale | Economics improve as research volume grows, since fixed costs are spread over more output | Economics can become less favorable at very high volume, since per-unit subscription or project costs do not necessarily fall with usage the way internal marginal costs do |
Why This Decision Should Be Made Capability by Capability, Not Function by Function
The most common error in build-versus-buy decisions is treating "market research" as a single function requiring a single answer, when the dimension that actually determines the right choice - how company-specific versus how generalizable the required knowledge is - varies sharply across different research activities. Continuous monitoring of broad, cross-industry signals (regulatory trends, technology adoption curves, macroeconomic indicators) is precisely the kind of work where an external subscription provider's scale advantage is largest, since the same underlying research effort serves many client organizations simultaneously. Highly company-specific work - interpreting a competitive signal in the context of this organization's specific cost structure, channel relationships, or unresolved internal debates - is precisely the kind of work where in-house context is hardest for an external partner to replicate on a project timeline.
Analyst Insight:
The instructive detail in Forrester's FY2025 results is not the headline revenue decline - it is that the company's own strategic response was to launch a self-service "AI Access" product alongside its traditional analyst-delivered Research, rather than simply defending its existing subscription price point. That is the external-partner industry itself acknowledging that the economics of the "buy" side of this decision are shifting, as AI tooling lowers the cost of certain categories of monitoring work that previously justified an external subscription. The practical implication for any organization currently buying research exclusively is to re-examine which specific subscription line items are paying for broad, generalizable monitoring that AI-assisted internal tooling could now perform more cheaply, and which are paying for genuine analyst judgment and cross-client pattern recognition that remains difficult to replicate internally regardless of tooling. Conflating the two during a renewal negotiation is how organizations end up either over-paying for commoditizing monitoring or under-investing in the judgment layer that external partners still do better.
A Practical Decision Sequence
- Inventory the organization's actual research and intelligence needs by category, separating continuous monitoring needs from one-time project needs, and separating broad/generalizable topics from company-specific topics, before evaluating any vendor or hiring plan.
- Map each category against the trade-off framework above, asking specifically whether the value of the work depends primarily on proprietary company context (favoring build) or on breadth and cross-client pattern recognition (favoring buy).
- Calculate fully-loaded internal cost, not just salary, including management overhead, tooling, training time, and the opportunity cost of a smaller team's limited category coverage, before comparing it against an external subscription or project quote.
- Pilot the hybrid model explicitly rather than defaulting to it informally - assign a specific internal team the job of triaging external subscription output and commissioning targeted custom research only where a signal clears a materiality threshold, rather than allowing the two capabilities to operate with no defined division of labor.
- Revisit the allocation on a fixed cadence, since the right build-versus-buy mix shifts as AI tooling changes the cost structure of in-house monitoring and as external providers restructure their own delivery models in response, as Forrester's pivot illustrates.
The Hybrid Model in Practice
Organizations that get the most value from this decision rarely choose one side exclusively. A common, effective pattern is to buy broad continuous monitoring from an external subscription provider - leveraging the scale economics that make Gartner's Insights segment its largest and fastest-growing business line - while building a small internal team whose job is specifically to triage that external output against company-specific context and commission targeted custom research, whether built internally or purchased as a one-time external engagement, only for the signals that clear a materiality threshold. This sequencing avoids two common failure modes simultaneously: paying for an internal team to replicate broad monitoring an external subscription already covers more cheaply at scale, and relying entirely on external monitoring with no internal capacity to translate a flagged signal into a company-specific decision.
Market Research Use Cases for Each Model
Favoring Buy:
- Broad industry and technology trend monitoring applicable across many organizations
- Cross-industry benchmarking studies requiring a panel or dataset no single company could assemble alone
- Surge capacity for a large, one-time study (market entry sizing, M&A commercial diligence) that does not justify a permanent hire
Favoring Build:
- Interpretation of competitive signals in the specific context of the organization's own strategy and unresolved internal questions
- Ongoing triage and prioritization of external monitoring output against internal decision calendars
- Proprietary customer and product data analysis that depends on internal systems access external partners cannot practically replicate
Frequently Asked Questions
Is it ever right to build a full in-house research function with no external partners at all?
It is uncommon, even among large enterprises, because the breadth advantage of large external providers - covering far more categories and geographies than a fixed internal headcount can replicate - is difficult to fully replace; most organizations that describe themselves as "fully in-house" still purchase select external subscriptions for specific categories outside their core focus.
How large does an organization need to be before building an internal team makes sense?
There is no fixed revenue threshold; the better predictor is research volume and specificity - an organization commissioning frequent, highly company-specific analysis is a stronger candidate for an internal team than a larger organization with infrequent, more generic research needs.
Why did Forrester's client count fall if external research subscriptions are supposedly a strong buy-side option?
Forrester's own results show the external-partner model is not immune to competitive pressure, including from AI-native alternatives and from clients reconsidering their build-versus-buy allocation at renewal - a 7% client-count decline indicates a meaningful share of buyers made a different choice in FY2025 than in prior years.
What is the most common mistake organizations make when building an internal team?
Hiring generalists expected to replicate the breadth of an external provider's coverage, rather than hiring for the specific triage-and-context function that internal teams are actually best positioned to perform alongside, not instead of, external subscriptions.
Can the build-versus-buy allocation differ by business unit within the same company?
Yes, and in large, multi-division organizations it typically should, since different business units often have meaningfully different ratios of company-specific to generalizable research needs.
If your organization is evaluating this decision, our Research as a Service model is built specifically for the hybrid pattern described above. Browse our syndicated report library for the broad-coverage layer, or commission custom research for the company-specific validation layer.