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Bio Tech & Life Science Practice

Digital Transformation for Biotechnology and Life Sciences

Biotechnology companies move from discovery to production under tight control. Routeget connects research, materials, batch and quality data so scientific progress converts into reliable supply.

Scientists working at benches with microscopes and analytical instruments in a pharmaceutical laboratory (illustrative image)

30+

clients served

$15M+

Savings Delivered

15+ yrs

Serving the Sector

20+

Projects Delivered

Industry snapshot

Biotechnology and Life Sciences: where the market stands today

A fact base for planning. All figures below are third-party research estimates, not Routeget data, and they differ by how each firm defines the market.

Market

Innovation and capital intensive

Genomics, cell and gene therapies and AI-assisted discovery drive investment and demand for specialised manufacturing.

Market size

About US$1.55 to 1.95 trillion

Grand View Research and BioSpace size the global biotechnology market in this range for 2024.

Outlook

About 12% to 15.9% CAGR

Precedence Research and others project growth clustered around 13.5% to 14%.

Digital opportunity

Tech transfer and supply reliability

Complete material and batch records speed transfer to manufacturing partners and support regulatory filings.

Sources: Grand View Research; BioSpace; Precedence Research; Dataintelo. Figures vary by publisher and definition; verify before external citation. Estimates retrieved October 2026 and subject to each publisher’s definitions; verify against the publisher before citing externally.

End-to-end digital transformation

Strategy, platform selection, integration and data work delivered as one programme.

Regulated-industry data models

Batch, lot, specification and change records designed for GxP-style environments.

Compliance and audit readiness

Electronic records, approvals and traceability built into daily workflows.

Laboratory and plant integration

Connections between laboratory systems, production, warehouse and finance.

Challenges we solve

Four pressures that shape bio tech & life science operations

These are the recurring problems we see when process development, scale-up, production and quality operations run on disconnected systems.

Scale-up uncertainty

Process data from the lab to production is scattered across notebooks and files.

Sensitive materials

Cold-chain and short-expiry materials are managed on manual logs.

Partner manufacturing

Contract partners hold records the sponsor cannot see in time.

Regulatory documentation

Filings require consistent data from many teams.

Solutions & capabilities

Capabilities built for process development, scale-up, production and quality operations

Pick the area closest to your priority. Each can be delivered on its own or as part of a wider programme.

Featured use cases

Two scenarios where connected data changes the day-to-day

These are illustrative scenarios that describe the business objective. They are not customer case studies.

Diagram of a manufacturing data chain from supplier lot through production batch, quality check and warehouse to customer shipment
Use case 1

Transferring a process to a partner

Process parameters, materials and results assemble into a transfer package.

Business objective: shorten tech transfer.

Use case 2

Controlling sensitive inventory

Expiry and temperature data trigger alerts and priority use of materials.

Business objective: reduce losses of costly materials.

Operators in sterile gowns monitoring filling equipment in a pharmaceutical cleanroom (illustrative image)
Proven approach & results

How we approach delivery and evidence outcomes

We do not publish unverified customer figures on industry pages. This is how we make outcomes measurable in an engagement.

Baseline first

We agree the starting measures with you before design, such as batch success rate, tech-transfer time and inventory expiry loss.

Delivery in stages

Releases are phased by site and process, so each stage is tested against real operations before the next.

Measured against your targets

Dashboards report the baseline measures from go-live, so benefit is judged on your data.

Examples of Routeget engagements can be discussed in a discovery call, subject to client approval for each reference.

Consulting team reviewing charts on a wall display during a workshop in a modern office (illustrative image)
Why Routeget

Why Routeget for bio tech & life science

We bring a delivery approach built around the realities of long development cycles, sensitive materials and exacting records.

Programme and material depth

We link programme, material and batch data so scale-up evidence is complete and transferable.

Integrated, not stitched together

Laboratory, production, quality, warehouse and finance share one data model, so operational and financial records reconcile.

Phased, low-disruption rollout

We plan releases around funding rounds, trial milestones and regulatory reviews to protect service levels.

Data you can act on

Analytics are designed with your operations team, so measures reflect how your plants actually run.

Insights & resources

Related reading from the Routeget team

Perspectives on the supply chain, data and integration topics behind this industry.

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Start the conversation

Plan your bio tech & life science digital foundation with Routeget

Book a 30-minute discovery to walk through your laboratories, pilot plants, partners and manufacturing sites and your priorities with a Routeget industry specialist.

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Frequently asked questions

Bio Tech & Life Science: questions buyers ask us

We usually start with a short discovery and a process review of one programme and its development batches. From there we propose a phased scope, which can be fixed-scope for defined releases or a time-and-materials team for ongoing improvement.

Development, pilot and commercial batches share a data model so history carries forward.

Partner stock, orders and batch records are visible alongside your own.

You do. The solution runs in your own environment, and configuration, data models and reports are documented and handed over so your team can maintain them.

Pricing and timing follow scope, including the number of programmes, sites and outsourced partners. We share an estimate after discovery, with assumptions and exclusions stated, and we confirm timelines only after reviewing your landscape.