Need to get familiar with the life science research tools market?

Life science research tools are coming out of a rough stretch, and the biggest suppliers are getting bigger.

We've found a lot of interesting signals. For example, in January 2026, Congress turned down a proposed cut of almost 40% to the US National Institutes of Health and gave it a $415M increase instead, easing a big worry for the academic labs that buy research tools. Then in February, Waters completed its combination with BD's Biosciences and Diagnostic Solutions businesses, adding flow cytometry and single-cell tools to its chromatography and mass spectrometry business. Labs have their funding back for now, and suppliers are merging to sell them more.

In this section, we look at how public budgets, drug company spending and China shape demand, and what these mergers mean for smaller toolmakers.

Researchers want more data from every experiment, but budgets are tight, skilled staff are scarce and every run costs money.

We compare six kinds of research tools companies, from sequencing and cell analysis to imaging, lab automation and research software. Their buyers include university labs, drug companies, contract research firms and government institutes. Then we rank what hurts most, like the cost per sample, results that are hard to reproduce, and instruments that don't talk to each other.

This shows which problems a lab will spend its budget on, and which ones it will live with a little longer.

Instrument sales, reagents and kits, service contracts, software subscriptions and paid research services: research tools companies make money in several ways.

We compare who pays and how often. An instrument is a big one-time sale that depends on grants and capital budgets. The kits it uses bring in revenue on every run, which is why some makers price the machine low to win the lab. Software brings steady subscriptions but has to replace habits built on spreadsheets. And service labs earn per project, which keeps revenue uneven.

You'll see which models keep earning when labs freeze big purchases, and which ones depend on the next round of grants.

Growth in research tools follows what scientists need to study next, so we walk through each driver.

Some are easy to see: new kinds of drugs like cell and gene therapies, cheaper sequencing and the push to study single cells. Others feed each other. Cheaper data lets labs run more experiments. More experiments create more data for AI models. And when AI teams need lab data in large volumes, they buy robots and kits to produce it.

Before building or investing, you should know where lab budgets come from, and what makes a lab switch from a tool it already trusts.

Thermo Fisher and Illumina are the names every lab knows, but research tools go far beyond two giants.

Many of the interesting players stay in a niche. Some sell one kind of antibody or cell culture kit. Others build robots for small labs, tools that grow mini organs in a dish, or software that keeps track of every sample.

They're hard to spot because researchers often buy through distributors and catalogs, and a single lab can use dozens of suppliers. Many also sell under a bigger company's brand, so their name never shows up on the box.

Below, you'll find the market grids and ecosystem maps we've built to show who sells what across the lab, and where newer companies are getting in.

Benchling, 10x Genomics, Element Biosciences… a few newer research tools companies have built real businesses. They make money in very different ways, and each still has something to prove.

Benchling sells cloud software that helps R&D teams record and share their experiments. 10x Genomics sells instruments for single-cell and spatial biology, then earns most of its revenue on the kits each experiment uses. Element Biosciences took on Illumina with a smaller benchtop sequencer. Each one found a gap the giants weren't filling, but none has shown yet that it can hold that gap for good.

We'll look at how these teams found a gap the giants left open, and what they did to keep labs coming back.