By Kentley Insights | Industry Intelligence & Benchmarking Research
Uncertainty has always been part of doing business. But the past several years have compressed what used to be slow-moving shifts into rapid, overlapping disruptions. Supply chains seized up. Inflation surged. Labor markets tightened and then shifted again. AI began rewriting the competitive dynamics of entire industries almost overnight.
In that environment, the cost of a bad strategic decision isn’t just higher. It’s potentially existential.
What’s interesting is that uncertainty tends to drive more investment in market intelligence, not less. When conditions are predictable, companies can rely on historical patterns and intuition. When they’re not, executives start asking harder questions about what they actually know, what they’re assuming, and where their blind spots are.
That’s where research earns its value.
Section 1: Why Uncertain Markets Increase Decision Risk
Every strategic decision carries some degree of uncertainty. The question is how much, and whether the organization understands the risks it’s accepting.
In stable conditions, that’s manageable. In volatile ones, uncertainty compounds across every major decision point simultaneously.
Consider what’s been hitting businesses at once: persistent inflationary pressure on input costs, interest rate environments that have shifted capital allocation calculations, geopolitical instability affecting supply chains and trade flows, labor cost increases paired with productivity questions, and AI-driven disruption that’s restructuring competitive advantages across sectors.
Each of those creates distinct decision risks:
- Forecasting becomes unreliable. Revenue models built on pre-2020 assumptions often don’t hold. Demand curves have shifted. Consumer behavior has changed in ways that aren’t fully understood yet.
- Pricing pressure intensifies. Companies caught between rising costs and price-sensitive customers need granular intelligence on what their competitors are doing and what their customers will accept.
- Strategic blind spots expand. Fast-moving markets mean that competitive intelligence gathered six months ago may already be stale.
- Operational inefficiencies become expensive. When margins compress, the difference between a well-run operation and an average one shows up in earnings.
The result is a decision environment where every major call, from entering a new market to adjusting a pricing model, carries elevated stakes. That’s precisely when reliable data becomes more valuable, not less.
Section 2: How Market Research Reduces Uncertainty
There’s a misconception worth addressing: market research doesn’t eliminate uncertainty. Nothing does. What it does is improve the quality of decisions made under uncertainty.
Think of it as the difference between navigating with and without a map. The terrain is the same. The risks are real either way. But one approach gives you far more information to work with.
Practically, businesses use market intelligence to accomplish several things at once.
They identify growth pockets within markets that appear flat at the aggregate level. A sector can be declining overall while specific segments within it are expanding. Without detailed data, those opportunities stay invisible.
They benchmark their own performance against peers. A company might believe its margins are acceptable until it measures them against industry-level data and finds it’s running 3–4 points below the median. That gap is a problem and an opportunity, but only if you know it exists. Kentley’s industry benchmarking metrics help businesses make those comparisons with precision.
They monitor competitors’ moves without relying on anecdotes or speculation. Structured competitive intelligence catches pricing shifts, market exits, capacity changes, and strategic pivots early enough to respond.
They forecast demand more rigorously. Econometric models, grounded in actual market data, outperform gut-feel projections in most market conditions, and substantially so in volatile ones.
None of this requires certainty. It requires better information than the alternative.
Section 3: Strategic Decisions That Depend on Market Intelligence
The practical applications of market research show up across the most consequential decisions executives face.
Pricing Strategy
Inflation has made pricing decisions genuinely difficult. Companies that raised prices too aggressively lost volume. Those that held prices absorbed margin compression, which they may still be recovering from.
The businesses that navigated it most effectively tended to have real data on competitor pricing, customer willingness to pay, and demand elasticity across their product mix. That kind of pricing intelligence isn’t just useful during inflationary periods. It’s a permanent competitive advantage for any business where margins matter.
Expansion Planning
Geographic expansion and market entry decisions are among the highest-stakes calls any organization makes. Getting them wrong is expensive and slow to reverse.
Market research supports expansion planning by providing objective assessments of market size, growth trajectory, competitive intensity, and demand structure in target markets. A company evaluating whether to enter a new metropolitan area or expand into an adjacent industry needs that data before committing capital. Kentley’s coverage spans 384 metropolitan statistical areas (MSAs) and 195 countries, giving expansion planners the geographic granularity those decisions require.
For anyone assessing which industries offer the best growth-to-risk ratios, Kentley’s analysis of the fastest-growing service industries provides a useful starting point.
Investment Decisions and M&A
Capital allocation decisions, whether internal investment or M&A activity, require accurate assessments of where industries are heading, not just where they are.
A company considering an acquisition in a sector it doesn’t know well needs to understand the competitive dynamics, the margin structure, the growth drivers, and the risk factors before it can assess whether the target’s performance is strong or mediocre relative to peers. Due diligence that relies only on company-provided data misses the industry context that determines whether a deal actually creates value.
For teams weighing industry-level returns, Kentley’s coverage of the most profitable industries helps inform where capital deployment is most likely to be rewarded.
Operational Planning
Labor cost increases have been persistent and uneven across sectors. Businesses that know what their peers are spending on labor, by function and by geography, can identify where they’re overpaying and where they’re exposed to retention risk by underpaying.
The same applies to cost structures more broadly. Companies that benchmark their operating costs against industry data can identify inefficiencies that internal reporting alone would never surface.
Section 4: Why High-Performing Companies Benchmark During Volatile Periods
Benchmarking is often treated as a compliance exercise or a one-time diagnostic. High-performing companies treat it differently. They use it as a continuous feedback loop that tells them how they’re actually doing relative to the market, not relative to their own history.
That distinction matters in volatile periods. A company that improved its margins by 1.5 points over two years might feel good about that progress. But if the industry median improved by 3 points in the same period, that company actually fell behind its peers while believing it was moving forward.
Kentley’s six core benchmarks provide the framework for this kind of analysis:
Revenue Growth tracks how a company’s top-line trajectory compares to sector-level growth. Are you gaining share, holding steady, or losing ground?
Profitability benchmarks let companies assess whether their margins are structurally competitive or require operational attention.
Product Line Breakdown identifies which segments of the business are driving performance and which are diluting it. That intelligence is essential for resource allocation decisions.
Productivity metrics, expressed through Kentley’s Employee Productivity Index, measure output per employee against industry norms. Productivity gaps often reflect deeper operational issues that financial reporting alone doesn’t surface.
Functional Role Breakdown shows how a company’s headcount allocation compares to peer companies. Businesses carrying excess overhead in certain functions, or under-investing in others, can spot those imbalances through this lens.
Operating Cost Breakdown provides a structural view of cost competitiveness across major spending categories.
Together, these benchmarks help organizations identify where they’re performing well, where they’re exposed, and where the most valuable improvement opportunities sit. For a deeper look at how to apply these tools, Kentley’s guide to industry benchmarking metrics walks through the methodology in detail.
One concrete example: an accounts receivable benchmark of 60.6 days, which appears across certain professional services sectors, can inform working capital management decisions that have direct cash flow implications. That kind of operational benchmark rarely appears in standard financial analysis but can significantly affect near-term liquidity planning.
Section 5: Industries That Benefit Most from Market Intelligence
While market research has value across all sectors, certain industries face conditions that make data-driven decision-making especially critical right now.
Management Consulting
The management consulting industry has grown into a $403.5 billion market, comprising 164,006 firms with a 5-year annual growth rate of 8.7% and a profit margin of 11.2%. The top four firms hold just 13.7% market share, which means the competitive landscape is more fragmented than it appears from the outside.
For consulting firms, that fragmentation creates real strategic questions. Which segments are growing fastest? Where are margin profiles strongest? What does capacity utilization look like across peer firms? The management consulting industry market research report addresses exactly these questions with current market data.
Within that broader market, the strategy management consulting segment represents a $217.0 billion market across 78,036 firms, with its own distinct competitive dynamics. For strategy-focused firms and their clients, the strategy management consulting industry report provides sector-specific analysis.
IT Systems Design
The IT systems design sector, at $700.2 billion in industry revenue across 121,407 companies, is one of the most actively disrupted markets in the economy right now. AI is restructuring what clients need and how services are delivered. Average sales per location run at approximately $4.8 million, but that average obscures significant variation between firms that are adapting effectively and those that aren’t.
For companies operating in or adjacent to this space, computer systems design industry benchmarking data provides the market context needed to evaluate competitive position and strategic options.
Manufacturing and Service Industries
Manufacturing companies dealing with supply chain instability, labor cost pressure, and energy price volatility need granular cost and productivity benchmarks to know where their operations stand relative to the industry. Service businesses facing changing consumer demand patterns need current market size and growth data to make confident capacity and investment decisions.
Across all of these, the value of research isn’t academic. It translates directly into better pricing decisions, more defensible expansion strategies, and more rigorous capital allocation.
Section 6: Market Research as Strategic Infrastructure
There’s a meaningful shift happening in how sophisticated organizations think about market intelligence. For most of business history, research was episodic. You bought a report when you needed to make a specific decision, used it, and moved on.
Increasingly, high-performing organizations treat market intelligence as infrastructure, something that runs continuously in the background and informs decisions at multiple levels of the organization.
That shift makes sense for a few reasons.
First, the pace of change has increased. Markets that were stable for years are moving faster. Industries are being restructured by technology and regulatory change simultaneously. Episodic research can’t keep up with that pace. Ongoing access to current data can.
Second, decision-making has become more distributed. Strategic decisions no longer sit only at the executive level. Finance teams need market data for modeling. Operations teams need cost benchmarks. Sales teams need competitive intelligence. An intelligence infrastructure that’s accessible across the organization has compounding value.
Third, the cost of being wrong has gone up. In a volatile environment, major strategic missteps are more costly and harder to reverse. The investment in reliable market intelligence looks different when measured against that downside.
Kentley’s platform is built to support this kind of ongoing intelligence function, with 100+ data sets, 30+ forecasting metrics, and econometric models that provide structural market insight rather than point-in-time snapshots.
For teams evaluating whether a research investment makes sense, Kentley’s analysis of the ROI of market research offers a practical framework for thinking through the calculus. And for teams navigating the research landscape, guides on how to evaluate market research reports and how to choose market research reports help identify which sources and methodologies are worth trusting.
For organizations just beginning to build that capability, free market research reports provide a practical entry point.
Conclusion
The instinct to cut information spending when budgets tighten is understandable but usually counterproductive. When the cost of bad decisions goes up, the value of good information goes up with it.
Companies that benchmark their performance rigorously against industry peers are better positioned to see where they’re lagging before the gap becomes a crisis. Companies that forecast demand using current market data make capacity and investment decisions with more confidence. Companies that track competitive intelligence systematically are less likely to be surprised by moves their rivals telegraphed months in advance.
None of that guarantees success. Markets are genuinely uncertain, and no amount of research changes that. But uncertainty has always been the condition in which information creates the most value.
The businesses that treat market intelligence as infrastructure, rather than as an occasional purchase, tend to make better decisions, recover faster from errors, and find growth opportunities that less-informed competitors miss. In a market environment that’s likely to stay volatile for the foreseeable future, that capability is worth building.

