Share this
What Esomar's latest rankings reveal about the growing value of historical research
by Infotools on 07 Aug 2026
Every year, Esomar's Top Insights Companies report generates discussion about rankings. Which companies moved up? Who made an acquisition? Which firms posted the fastest growth?
This year's report also highlights a broader shift across the industry. Research software now represents an estimated 41% of global insights industry turnover, ahead of traditional market research at 36%. Software companies also continued to outpace the growth of traditional research during 2025, with digital data analytics among the fastest-growing segments. These numbers are indicative of how organizations are now using market research.
Organizations are building libraries, not projects
For many years, research projects had a fairly clear endpoint. A study was completed, findings were presented and the report joined the growing collection of previous work. Some programs, such as brand tracking and customer experience measurement, have always been designed to continue over many years, but today's organizations are running more studies across more teams, suppliers and business functions than ever before. Innovation projects, concept testing, campaign evaluation, customer feedback and ad testing all add to that body of knowledge.
The result is that many organizations have accumulated years, and sometimes decades, of research. Very little of it has lost its value, but much of it has become harder to find. Ask whether the business has explored a particular customer question before and someone will usually remember that a study exists. Locating it is another matter. It may be stored in a supplier portal, buried in a shared drive, attached to an old PowerPoint presentation or sitting in a system that only one former team member knew how to access.
As those collections continue to grow, organizations are beginning to view historical research less as an archive and more as an asset that should continue informing business decisions long after the original project has closed.
Research becomes more useful when it can be connected
Software investment isn't only about launching surveys or building dashboards. Organizations are also looking for ways to organize years of research so today's business questions can benefit from yesterday's work.
A concept test completed two years ago may provide context for a new product launch, while customer satisfaction results can help explain changes seen in a long-running brand tracker. Looking across innovation studies from different markets may reveal patterns that never appear when each project is viewed in isolation.
This is the problem Harmoni was built to address. Long before AI became part of every software demonstration, Infotools focused on helping organizations bring research together in one place so historical and current studies could be explored as a connected body of knowledge rather than as isolated projects.
AI has made historical research even more valuable
The rapid growth of AI has added another reason for organizations to revisit how their research is stored.
Much of the discussion around AI focuses on generating summaries or answering questions. But what we sometimes forget is that the quality of those answers depends on the quality and accessibility of the information available to the model. If historical studies are spread across disconnected systems, locked inside static reports or stored in separate vendor portals, AI has very little context to work with.
When research is centralized, however, years of customer knowledge become searchable. Teams can compare findings across studies, identify trends over time and answer new questions without relying on a single project to provide every answer.
Esomar's report also identifies digital data analytics as one of the fastest-growing segments in the industry, suggesting organizations are investing in technologies that help them work with research after it has been collected rather than treating every study as a standalone project.
Looking beyond the next study
Organizations have already invested heavily in understanding their customers. The question is whether that knowledge is still easy to find when the next business question comes along.
Harmoni was designed to keep research working long after a project closes by bringing historical and current studies together in one searchable environment. When teams can see years of evidence in one place instead of searching through portals, reports and shared drives, they're able to spend less time looking for information and more time using it.
Book a demo today!
Share this
- July 2026 (1)
- June 2026 (3)
- May 2026 (5)
- April 2026 (3)
- March 2026 (4)
- February 2026 (7)
- January 2026 (1)
- December 2025 (3)
- November 2025 (1)
- October 2025 (1)
- September 2025 (1)
- August 2025 (2)
- July 2025 (1)
- June 2025 (3)
- May 2025 (1)
- April 2025 (1)
- March 2025 (6)
- February 2025 (3)
- January 2025 (4)
- December 2024 (5)
- November 2024 (6)
- October 2024 (4)
- September 2024 (4)
- August 2024 (6)
- July 2024 (7)
- June 2024 (4)
- May 2024 (7)
- April 2024 (6)
- March 2024 (3)
- February 2024 (8)
- January 2024 (3)
- December 2023 (6)
- November 2023 (5)
- October 2023 (3)
- September 2023 (8)
- August 2023 (4)
- July 2023 (6)
- June 2023 (6)
- May 2023 (3)
- April 2023 (6)
- March 2023 (6)
- February 2023 (4)
- January 2023 (2)
- December 2022 (2)
- November 2022 (8)
- October 2022 (6)
- September 2022 (6)
- August 2022 (7)
- July 2022 (5)
- June 2022 (6)
- May 2022 (5)
- April 2022 (4)
- March 2022 (8)
- February 2022 (7)
- January 2022 (1)
- December 2021 (2)
- November 2021 (2)
- July 2021 (4)
- June 2021 (2)
- May 2021 (4)
- April 2021 (2)
- March 2021 (5)
- February 2021 (3)
- January 2021 (3)
- December 2020 (1)
- November 2020 (5)
- October 2020 (2)
- September 2020 (5)
- August 2020 (4)
- July 2020 (4)
- June 2020 (1)
- May 2020 (3)
- April 2020 (6)
- March 2020 (1)
- October 2019 (1)
- September 2019 (1)
- August 2019 (2)
- July 2019 (1)
- June 2019 (1)
- May 2019 (3)
- June 2018 (1)
No Comments Yet
Let us know what you think