What Ails Us?

Diagnosing the Market Research Industry

In recent years, something has felt…off in the world of market research. Clients canceling studies left and right, or opting to keep them in house. Research departments going silent. Budgets shifting to other priorities. And AI has everyone in our industry shaken, stirred, and spinning in circles.

At first glance, all this uncertainty and pull back may look like just another cycle — a temporary budget squeeze, a shift in client preferences, or perhaps an overreaction to new technology. We’ve weathered turmoil before. So, does that mean we should just hunker down until this too shall pass? We’re not so sure.

When we stop to examine the symptoms behind the shift, it’s clear that this is no ordinary adjustment. The industry is facing deeper, structural issues that we simply can’t ignore any longer. As market researchers, we must be prepared to respond, react, and adapt to what may very well be the new reality. And to do that, we must first understand what’s ailing our industry — and why.

Symptom 1: Declining Budgets Amid Economic Uncertainty

While R&D budgets aren’t directly tied to market research, they’re good proxies for what is happening in market research. Cuts in product innovation and development have a significant impact on market research spending as well. When companies stop developing novel drugs or start pulling back on certain technologies, that means fewer products and services that call for market research. Which may explain much of the recent cancelled projects and radio silence across market research departments.

Budget cuts seem to be the most obvious indication that something’s going on. Recent headlines are replete with news about major companies slashing their R&D budgets and restructuring and/or reducing staff resources. In fact, data shows that 27% of the world’s top companies cut their innovation budgets in 2024, and pharma, biotech, and technologies industries have been especially aggressive in scaling back.

Moderna plans to cut $1.1 billion from their R&D spending by 2027. Both Evotec and Charles River Laboratory, key providers of drug discovery and development services, reduced their 2024 forecasts, implemented layoffs, restructured staff, and slowed R&D spending. Coherus BioScience made the decision to reduce 30% of its staff, Pfizer announced more job cuts in its U.S. operations, and Novartis announced plans to cut 240 roles in the U.S. They’re joined by Sanofi, which plans to simplify its R&D structure, and Thermo Fisher Scientific, one of the largest pharma service providers, which aims to cut $450 million in costs. Editas Medicine announced a 65% workforce reduction, the sector’s largest, as they move away from their traditional gene editing R&D.

Big tech is joining pharma and biotech in tightening their belts. Overall, the technology sector underwent dramatic restructuring in 2024, with an estimated 150,000 job cuts across more than 525 companies through December 23, and close to 10,000 cuts just in Q4. The brunt of these cuts — around 27,000 layoffs — happened in the hardware and electronics manufacturing sectors. The leading chip maker in the U.S. is reducing 15% of its workforce to a tune of around 15,000 jobs in an attempt to save $15 billion in 2025. Dell cut 12,500 jobs and ADM chip manufacturers eliminated around 1,000.

What’s Really Happening
Typically, when market research budgets shrink, it’s a reaction to economic turmoil — as we saw in the Recession of 2008 and COVID-19 shutdowns in 2020. Indeed, many of the aforementioned companies site rising inflation and economic concerns as the main drivers for their spending and staff cuts. Biotech companies say that venture capital and financing have dried up, as investors and lenders become more risk averse. For big pharma, the influx of COVID-19 money for vaccine development has also waned, and with it R&D budgets. Many big tech companies also say they’re shedding jobs and reducing spending in response to a pandemic hiring binge, high inflation, and weak consumer demand.

The current economic situation is creating some freak-out, as well. The looming threat of tariffs, rising egg prices, the return of inflation woes, and mass firings/layoffs of federal workers — combined, these red flags have triggered a seven-point drop in consumer confidence, sliding markets, and a weakened view of the labor market.

Businesses share consumers’ pessimistic view of the economy, which ripples into their willingness to invest in new products, services, and innovation. What’s more, many pharma, biotech, and tech companies are reshuffling budget and resources away from traditional R&D to AI strategies. This is creating a seismic shift that reverberates across the market research industry as well. More on that later.

What’s Really Happening
In a phrase: lack of innovation. As an industry, we tend to be complacent. We cling to established methods we’ve been using for decades, ignoring blind spots and signs of trouble. Even as consumer behaviors rapidly change and become more complex, and response fatigue sets in, we’re still relying on traditional surveys, focus groups, one-size-fits all reports, and outdated methodologies while eschewing emerging technologies like AI, behavioral analytics, social listening, and mobile-first approaches.

We’re not paying enough attention to major cultural shifts in consumer behavior, either. Respondents are getting younger and defy demographic assumptions we’ve long held. They want more authentic, personalized, and meaningful connections which extend to the market researchers reaching out to them. By overlooking these shifting preferences and behaviors, we’re also missing key opportunities for insight.

We’re failing to respond to changing client needs as well. Today’s companies must make decisions on a dime in order to survive let alone compete. As such, research and marketing departments and C-level decision makers need concise, clear, actionable reports that provide strategic direction — not just data dumps. When they don’t get the answers they need in the time they need them, clients start to do their own research or turn to AI to do it for them.

As research professionals, we need to better ways to demonstrate to clients the value we bring. How do we show ROI? We also need to find ways to provide agile, cost-effective research services, especially for smaller companies and start-ups that don’t have big budgets.

Complicating the situation, this is the age of big data. Researchers aren’t sure how to leverage the massive volume of information across multiple platforms and distill them into actionable insights. With big data comes the heightened risk of bad data, which jeopardizes research and insight quality. As an industry, we’re struggling to embrace and incorporate technology that can harness this data, ensure its integrity, and compete with those firms that have already figured it out.

Symptom 3: Growing Discontent with “Generalized” Research

Market research has taken a generalist approach for decades. Traditionally, researchers and moderators jump from subject to subject and industry to industry — moisturizer one day and mobile apps the next. And that has worked just fined, up until now. Given the complexities of consumer and competitive landscapes, today’s clients across B2B and B2C are starting to voice a need for deeper, more nuanced, and strategic insights germane to their specific challenges.

Yet, they’re also hesitant to make a switch from their current approach. The prevailing sentiment is, “If it ain’t broke, don’t fix it.” This reluctance keeps clients tethered to the familiar, even when it isn’t quite satisfying their needs. Alternately, failing to get the kind of insights they need, clients start doing their own research inhouse. After all, they’re already familiar know all the nuances of the product, service, or niche.

What’s Really Happening
The growing discontent for generalist research stems from multiple factors, one of them being the need for speed. Today’s clients must be able to act nimbly and make hyper-fast decisions, which means they need insight sooner rather than later. While they may be versatile quick learners, generalists who don’t have in-depth, first-hand knowledge of the subject in question may need time to get up to speed. Conversely, a researcher with specific expertise can dive right into the study, ready to have meaningful conversations around highly complex topics with highly specialized respondents.

Clients aren’t just looking for run-of-the-mill research, either. They want game-changing insight that will move them forward, give them a competitive edge, and help them cut through the clutter. This requires a research partner who understands the nuances of the subject as well as the client does. A specialized researcher will know when to veer from the discussion guide to ask follow-up questions and follow organic threads that yield richer, rarer, difference-making insights.

The traditional research approach often results in generic reports that wind up sitting unused on a shelf. Clients, on the other hand, aren’t looking for research findings they could just as well gather on their own. They want a trusted strategic partner who can connect the dots, reveal the story behind the data, make informed recommendations, and deliver reports that serve as a business asset. Researchers with specialized expertise bring an inside knowledge that better equips them to be this strategic partner.

Symptom 4: Fear and Excitement Around AI

Businesses are both exited and unsettled by AI. They’re excited about the promise of AI to drive efficiencies, productivity, cost savings, and innovation. This is clear from all the restructuring companies are doing to redirect money and resources to AI strategies and initiatives.

While cutting thousands of traditional roles within their companies, hardware giants are investing millions into AI chip development. A global leader in enterprise applications, SAP, is funneling over $2 billion euros each year into AI, affecting over 10,000 jobs. Even the pharma industry, known for being cautious in adopting new technologies, is pouring money into AI, with leaders like Pfizer, Bristol-Myers-Squib, Eli Lilly, and Novartis all announcing major investments in AI strategies while simultaneously cutting jobs.

At the same time, companies are worried about AI — about mishandling it, missing out on opportunities, and building the know-how to maximize it. They want innovation, yes, but they’re reluctant to leave their comfort zone and long-standing vendors to shake things up. It’s a bit like being in a comfortable relationship that’s nice enough, but doesn’t challenge or inspire. It works, but it doesn’t lead to true innovation.

What’s Really Happening?
These conflicting attitudes around AI seep into market research as well. Clients understand that AI has the potential to completely transform the way market research is done — with greater speed and efficiency and less cost. They also understand the risks of using AI in market research, particularly around data privacy, bias, inaccuracies, fraud, ethical concerns, and bad data that degrades research quality.

While their companies restructure around AI strategies, research departments are left facing a choice: do they continue doing market research as usual, using the same research partners and methodologies they’ve been using for years? Or do rely solely on AI for their market research and insights? The answer might be a hybrid approach.

For all its potential, AI cannot replace the intuition and creativity of human researchers. AI can’t interpret, improvise, build trust, or empathize with people. It can’t interpret facial expressions, body language, word choices, and tone of voice. It can’t tell the story behind the data. But it can do the grunt work without the need for human supervision — the data collection, number crunching, and pattern recognizing. Leaving human market researchers free to focus on finding that truly game-changing insight.

The market research firm who can achieve the right balance of AI innovation and human intuition, experience, and empathy can help clients overcome their anxiety around AI and leverage it for meaningful innovation.

Is There a Cure for What Ails Us?

That is the question. Are we witnessing a fundamental shift in how businesses view the value of research? Or is it something else — perhaps a lack of faith that traditional research methods can keep pace with today’s complexities?

The symptoms are hard to miss, and they point to something beyond a simple market dip. Are we seeing an industry out of touch with the needs of today’s clients and consumers? Or are clients themselves unsure of what they need from research in a rapidly evolving landscape? Perhaps it’s all of the above.

The shift we’re experiencing may be attributed to increasing demand for specificity and relevance in research, and a move away from generalization. Or perhaps it’s the inevitable consequence of technology’s rise in an industry that has long been driven by human insight. Whatever the diagnosis, one thing is certain: market research is standing at a crossroads.

As we decide which direction to go, it’s up to all of us to examine these symptoms honestly and ask what needs to change. The industry has always evolved — albeit slowly — in response to client needs, but today’s shifts require more than incremental adjustment. It’s time for a deeper examination, a willingness to ask hard questions, and a readiness to embrace change.