OEM
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September 1, 2025

Why Pharma & Chemistry Equipment Manufacturers Struggle to Sell SaaS and How to Fix It

Why Pharma & Chemistry Equipment Manufacturers Struggle to Sell SaaS and How to Fix It

Introduction

From Equipment Supplier to Digital Partner

Pharma and chemistry equipment manufacturers have mastered the art of building precise, compliant, and reliable devices whether it's safety cabinets, chromatography systems, balances, or automation platforms. But as labs become more digital, manufacturers face a new expectation: every piece of equipment should come with a connected, data-driven layer.

The potential is undeniable. The digital lab market, driven by lab automation and informatics, is forecast for significant growth. The global laboratory informatics market alone, which includes LIMS, ELN, and LES, is projected to reach over $5.2 billion by 2030.5 This expansion is fueled by the pharmaceutical and biotechnology sectors' increasing demand for data integrity, compliance, and streamlined workflows.6

Yet, most digital launches from equipment OEMs struggle. Monitoring dashboards, compliance apps, or connected software often fail to gain traction. The problem? They are developed and sold like hardware, not SaaS (Software as a Service).

1. Treating Software Like Hardware

The Challenge:

Manufacturers are used to long product cycles: 3–5 years of R&D, extensive testing, and big product launches. This works for equipment, where compliance and reliability are paramount. But software thrives on agile, iterative development, with customer feedback driving weekly or monthly releases.

Too often, OEM software teams build in isolation. They spend years developing a “perfect” tool, only to launch a product that doesn’t match customer needs or is already outdated.

The Solution:

  • Adopt agile development: release Minimum Viable Products (MVPs), test in pilot labs, and update iteratively.
  • Bring customers into development early: use co-creation workshops, beta programs, and structured feedback loops.
  • Separate software release cycles from hardware: a cabinet may take 4 years to design; a monitoring app should evolve every 4 weeks.

2. Sales Approach: SaaS ≠ Equipment

The Challenge:

Selling hardware is transactional. A sales rep lists specifications, negotiates price, and closes a capital expenditure deal. SaaS is consultative: it requires proving ROI, handling objections around subscriptions, and nurturing ongoing adoption.

Most equipment sales reps are not trained or incentivized to sell software. Without clear incentives, SaaS gets ignored. A common finding among industry analysts is that many industrial OEM SaaS initiatives stall due to sales channel resistance, as reps are not equipped to sell value-based, recurring-revenue products.

The Solution:

  • Create dedicated SaaS sales enablement: develop playbooks, objection handling guides, and demo flows tailored for software.
  • Train reps in value-based selling, focusing on benefits like compliance time saved and reduced audit risks.
  • Update commission structures: reward SaaS attach rates and renewals, not just equipment deals.
  • Consider hybrid teams: hardware reps open the door, and SaaS specialists close the software sale and support adoption.

3. Lack of Recurring Revenue Understanding

The Challenge:

Recurring revenue is foreign to many OEMs. Hardware is sold once; SaaS is billed monthly or annually. Recurring models require different forecasting, KPIs (ARR, churn, CAC), and customer success structures. Many manufacturers default to one-time license fees, undermining the SaaS model.

This creates internal friction: finance teams may dislike the uncertainty of Annual Recurring Revenue (ARR), sales reps may prefer big one-off bonuses, and leadership can struggle to explain SaaS to boards accustomed to hardware cycles.

The Solution:

  • Start with hybrid pricing models: bundle 1–2 years of software into hardware deals, then convert to recurring renewals.
  • Educate leadership and finance teams on SaaS KPIs: ARR, churn, and LTV/CAC ratios (Lifetime Value to Customer Acquisition Cost).
  • Create a dedicated Customer Success function to own renewals and adoption, this is critical for recurring revenue.
  • Use ROI calculators with customers to justify ongoing spend (e.g., one prevented compliance failure = €100,000+ saved).

4. Product-Market Fit Blind Spots

The Challenge:

Equipment OEMs often launch digital products without deep validation. Features are built based on engineering assumptions rather than the needs of lab managers. The result: tools that sound good on paper but add little daily value.

Example: One manufacturer developed a complex dashboard for cabinet airflow analytics. Engineers were proud of it. Scientists? They just wanted a simple compliance log they could show auditors. Adoption failed.

The Solution:

  • Build Ideal Customer Profile (ICP) maps: clearly define who exactly uses the software (lab managers, QA officers, HSE managers).
  • Run usability tests and gather feedback before scaling.
  • Align digital features with compliance and efficiency outcomes, not just “cool data.”

5. Ecosystem Blind Spots

The Challenge:

Labs rarely use one vendor’s full ecosystem. They mix equipment, ELNs, LIMS, and building systems. If your software doesn’t integrate, it creates silos. Yet, many OEMs avoid partnerships, hoping to lock customers into proprietary ecosystems.

The result? Customers bypass the OEM’s software and stick to third-party tools that work across brands.

The Solution:

  • Build API-first software: allow connections with popular ELNs (e.g., Benchling, eLabNext), LIMS, and facility systems.
  • Partner with startups that specialize in interoperability.
  • Position yourself as a connector, not a closed system. Labs value flexibility.7

Conclusion: Becoming Digital Partners, Not Just Equipment Suppliers

Pharma and chemistry labs are demanding more than equipment, they want integrated solutions that ensure compliance, improve safety, and streamline workflows.8

For manufacturers, this requires a cultural shift: from slow hardware cycles to agile software sprints, from transactional sales to consultative SaaS adoption, and from one-off revenue to recurring models.

Those who embrace the shift will secure stronger margins, recurring growth, and deeper trust with pharma clients. Those who don’t risk being sidelined by competitors and startups that speak the digital lab’s language.

_________

Sources

  • Grand View Research. "Laboratory Informatics Market Size, Share & Trends Analysis Report, By Product (LIMS, ELN), By Component (Software, Services), By Delivery Mode, By End-use, By Region, And Segment Forecasts, 2024-2030."9 Accessed August 29, 2025.
  • McKinsey & Company. "The top trends in tech." December 11, 2023. This article provides general context for the shift from hardware to software and the rise of digital ecosystems in industrial sectors.
  • MarketsandMarkets. "Lab Automation Market - Global Forecast to 2030." Accessed August 29, 2025.
  • Gartner. General Gartner research on industrial and B2B SaaS trends, which often highlights sales channel challenges as a primary reason for low adoption rates.

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