The ResTech Revolution: How Automation and M&A Are Reshaping the $130 Billion Market Research Industry
The ResTech Revolution: How Automation and M&A Are Reshaping the $130 Billion Market Research Industry
Introduction: The $130 Billion Shift
When the ESOMAR Global Market Research Report confirmed that total industry output would surpass $130 billion USD this year, it marked more than just a milestone in revenue. The figure signals a structural transformation: the growth is not coming from traditional survey methods or manual cross-tabs, but from technology-enabled sectors that are rewriting the rules of how insights are gathered, processed, and delivered.
[IMAGE: Graph showing industry growth over time, with a $130B milestone highlighted. The line should rise steadily from $100B to $130B over five years, with a clear marker at the current year.]
For decades, market research operated on a predictable cycle: design a questionnaire, field it via telephone or in-person interviews, wait weeks for data, and then spend more weeks analyzing results. That model is becoming obsolete. Buyers today—whether brand managers, product developers, or strategy officers—expect answers in days, not months. They want data that is not only accurate but also cost-effective and actionable. This pressure is driving the rapid adoption of automation, artificial intelligence, and integrated platforms that form the core of the Research Technology (ResTech) movement.
The numbers bear this out. According to ESOMAR, the fastest-growing segments within the industry are automated data collection, digital analytics, and software-based insight platforms. These categories are expanding at double-digit rates, while traditional fieldwork continues to shrink. The $130 billion figure, therefore, represents not just the size of the market but the scale of the shift now underway.
The Automation Imperative: Faster, Better, Cheaper
The Greenbook GRIT (Greenbook Research Industry Trends) report has tracked buyer priorities for over a decade, and its latest findings leave little room for ambiguity: speed, data value, and data quality are the three attributes that most influence purchasing decisions. Cost, once the dominant factor, has slipped to fourth place. The message is clear: clients are willing to pay for fast, high-quality insights—but they will not accept trade-offs that compromise either dimension.
This is where automation becomes indispensable. Companies like Cint, a global leader in digital insights gathering, have built their entire business model around eliminating the friction points in the traditional research process. Instead of relying on manual panel management and slow recruiting, Cint automates respondent access by connecting buyers to millions of pre-verified participants through a real-time platform. The result is a cycle that can go from survey launch to data delivery in a matter of hours, not weeks—all while maintaining rigorous quality checks.
[IMAGE: Flowchart of automated data collection and analysis pipeline. Boxes show: "Survey Design" → "Automated Respondent Matching" → "Real-Time Data Collection" → "AI-Powered Quality Screening" → "Automated Analysis & Visualization" → "Dashboard Delivery." Arrows labeled "Speed" and "Quality" run alongside the pipeline.]
The mantra of "faster, better, cheaper" has become the defining logic of the ResTech movement. But achieving all three simultaneously requires more than just faster fielding. It demands the integration of AI at every stage: from automated questionnaire logic that adapts to respondent behavior, to machine learning models that detect fraudulent responses in real-time, to natural language processing (NLP) that can instantly classify open-ended verbatim comments. The Greenbook GRIT data shows that AI adoption in market research has doubled over the past two years, with more than 40% of organizations now using some form of automation in their workflows. This trend is accelerating, making automation not a nice-to-have but a competitive necessity.
M&A and Consolidation: Building the Mega-Platforms
If automation is the engine of the ResTech revolution, then mergers and acquisitions (M&A) are the fuel. The market research industry has seen a wave of consolidation in recent years, as companies race to build integrated platforms that can serve clients across the entire insight value chain—without requiring them to stitch together separate tools.
A landmark example is the story of Forsta. Originally formed by the merger of Confirmit and FocusVision—two established players in survey software and qualitative research technology—Forsta was later acquired by Press Ganey, a leader in healthcare experience measurement. This deal created an entity that could manage everything from patient experience surveys to employee engagement tracking to advanced analytics, all within a single platform. The transaction reflects a broader pattern: buyers no longer want to manage relationships with a dozen different vendors. They want one partner that can handle data collection, processing, visualization, and reporting.
[IMAGE: Timeline of key M&A events in market research. Logos and approximate dates: Confirmit + FocusVision → Forsta (2018); Forsta acquired by Press Ganey (2021); Kantar's media division sold; Nielsen's Connect business acquired; Cint's acquisition of Lucid (2021). Arrow shows increasing consolidation over time.]
Yet consolidation brings its own tensions. As platforms grow larger, questions about market concentration become unavoidable. Will a handful of mega-platforms stifle innovation? Can smaller, specialized players survive in an ecosystem dominated by PE-backed roll-ups? The answer, so far, is mixed. While the largest deals make headlines, the overall vendor landscape remains fragmented. The ESOMAR Global Market Research Report notes that the top 10 firms account for roughly 60% of industry revenue—leaving a long tail of independent providers that serve niche needs. The real story is not total dominance but a bifurcation: scale players win on breadth, while specialists compete on depth.
The Independent Player: Infotools and Enduring Value
Amid the frenzy of M&A, a notable counterexample is Infotools. Founded more than 33 years ago and backed by Ipsos, one of the largest global research firms, Infotools has remained a steadfast independent provider of cross-functional solutions for data analysis, visualization, and sharing. The company has not been absorbed into a mega-platform, nor has it pivoted to become a pure automation play. Instead, it has focused on helping research teams make sense of complex datasets—often from multiple sources—and turn them into compelling, interactive dashboards that decision-makers can actually use.
[IMAGE: Abstract representation of Infotools product dashboard interface. Show multiple chart types (bar, line, heatmap) arranged in a clean grid, with a "Cross-functional insights" tagline overlay.]
The longevity of Infotools offers a valuable lesson. In an era obsessed with speed, there is still a premium on analytical depth and interpretive skill. Automation can collect data faster, but it cannot always decide which insight matters most to a CEO. Infotools' approach—combining robust data processing with human-centered design—has allowed it to retain clients who need more than a raw dataset. They need clarity, context, and the ability to share findings across silos.
This does not mean Infotools ignores automation. The company has integrated machine learning tools for data cleaning and pattern detection. But its core value proposition remains the expertise to help clients ask the right questions and visualize answers in ways that drive action. In a market obsessed with "faster, better, cheaper," Infotools demonstrates that "better" cannot be sacrificed for the other two.
Mapping the Landscape: Lucid’s ResTech Ecosystem
Navigating the ever-expanding universe of research technology tools has become a challenge in itself. That is why Lucid—a Cint Group company—created the "Research Technology (ResTech) Landscape" —a visual map that categorizes and positions the hundreds of vendors operating in the space. The map is updated annually and has become a standard reference for buyers trying to make sense of a fragmented market.
[IMAGE: Visual map or matrix of ResTech categories. Axes: left to right "Data Collection" to "Analysis & Reporting"; top to bottom "DIY / Self-Serve" to "Full-Service." Dots represent vendors like Cint, SurveyMonkey, Qualtrics, Infotools, Forsta, etc. Legend categorizes by primary function.]
The ResTech Landscape reveals several key patterns. First, the most crowded segments are in data collection and panel management—areas where automation is easiest to implement. Second, there are still gaps in the integration layer: tools that can seamlessly connect data from surveys, social media, CRM systems, and operational databases without requiring custom coding. Third, the mapping shows that automation trends are not uniform across categories. While sample and survey tools have become highly automated, advanced analytics and qualitative research remain more reliant on human expertise.
For buyers, the map serves as a diagnostic tool. It helps them identify where their current tech stack has overlaps or missing pieces. And for vendors, it provides a strategic view of where consolidation or innovation is most likely to occur next. The fact that Lucid—now part of the Cint ecosystem—created and maintains this map is itself a testament to the consolidation trend: the entity that helps buyers navigate the landscape is also one of its largest consolidators.
The Hidden Tension: Speed vs. Depth
Despite the undeniable benefits of automation, the ResTech movement is not without its critics. A persistent concern among seasoned researchers is the risk of commoditizing insights. When speed and cost become the primary drivers, there is a temptation to cut corners—using shorter surveys, smaller sample sizes, or automated data cleaning that misses subtle noise. The result can be insights that are fast and cheap but lack the depth required for high-stakes decisions.
This tension—speed vs. depth—is perhaps the most important unresolved challenge facing the industry. The Greenbook GRIT report indicates that while 68% of buyers say they are satisfied with the speed of modern research tools, only 47% say the same about the depth of insights they receive. The gap is telling. Automation excels at answering "what" and "how much"—how many customers prefer this feature, how likely are they to repurchase. But it struggles with "why"—the underlying motivations, emotions, and context that drive behavior.
[IMAGE: A balance scale graphic. Left side labeled "Speed / Cost / Automation" with icons of fast clock and dollar sign. Right side labeled "Depth / Quality / Human Insight" with icons of brain and magnifying glass. The scale shows a slight tilt to the left side, representing current market emphasis.]
The industry's response is still evolving. Some firms are investing in hybrid models: automated data collection combined with human-led analysis, where AI generates hypotheses and analysts validate them. Others are developing more sophisticated NLP and sentiment models that attempt to replicate human interpretation. But the reality is that automation and insight depth are not always trade-offs. In many cases, faster, cheaper data collection frees up budget for deeper qualitative work that can be done on the same project. The most successful firms will be those that design their workflows to deliberately balance the two—rather than letting one dominate.
Conclusion: What’s Next for ResTech
The market research industry stands at a crossroads. The $130 billion figure is both a validation of the sector's resilience and a signal that the old ways of working are no longer sufficient. Automation, driven by AI and the "faster, better, cheaper" imperative, will continue to reshape every stage of the research process. Consolidation through M&A will create larger, more integrated platforms that offer end-to-end solutions—but it will also leave room for independent specialists like Infotools that prioritize depth and cross-functional expertise.
Looking ahead, three trends are likely to define the next phase of the ResTech revolution. First, AI integration will move beyond simple automation into predictive and prescriptive analytics—tools that don't just report what happened but recommend what to do. Second, the ResTech ecosystem will become more interoperable, with standard APIs and data formats allowing buyers to mix and match best-of-breed tools rather than being locked into a single platform. Third, the industry will need to confront the quality paradox head-on: ensuring that the pursuit of speed does not undermine the very insights that make market research valuable to decision-makers.
For buyers, the takeaway is clear: embrace automation, but do not mistake it for wisdom. The best research technology is not the one that replaces thinking—it is the one that enables better thinking, faster. In a $130 billion market that is only getting more complex, that distinction will separate the leaders from the rest.