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Bioprocess Automation and Control Software Market to Reach US$ 13.59 Billion by 2032 as Smart Biomanufacturing, GMP Control and Real-Time Process Optimization Scale

07-10-2026 08:22 PM CET | IT, New Media & Software

Press release from: DataM intelligence 4 Market Research LLP

bioprocess-automation-and-control-software-market

bioprocess-automation-and-control-software-market

The global bioprocess automation and control software market reached US$4.96 billion in 2024 and is projected to reach US$13.59 billion by 2032, expanding at a CAGR of 13.7% during 2025-2032, according to DataM Intelligence. The market is becoming a core manufacturing layer for biologics, biosimilars, cell and gene therapies and CDMO operations because scalable production now depends on more than equipment capacity. Manufacturers need software that can coordinate recipes, instruments, process parameters, electronic records, deviations and quality decisions in real time while preserving data integrity and regulatory traceability.

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2026 Official Developments in Bioprocess Automation Platforms, GMP Software, Facility Digitalization and CDMO Deployments

- Emerson released DeltaV version 16.LTS in January 2026. The update added software-defined control, wider enterprise data visibility, stronger cybersecurity and tighter integration between control-layer data, historians, analytics and AI.

- Cytiva and Rockwell Automation launched Figurate SCADA in April 2026. The platform connects Cytiva equipment, third-party instruments and Rockwell's FactoryTalk suite through an open architecture. It is designed to scale from process development to commercial production while supporting centralized alarms, batch reporting and cGMP workflows.

- Agilent introduced OpenLab Sync in May 2026. The laboratory execution system converts static procedures into guided, traceable digital workflows and supports standardized execution across regulated sites. Its AI-enabled functions extend digital execution into laboratory and quality operations.

- Eppendorf issued security-focused BioFlo controller updates in May 2026. Revisions for the BioFlo 120 and BioFlo 320 removed Virtual Network Computing access, showing that bioprocess digitalization requires lifecycle cybersecurity management as well as process performance.

- Sartorius advanced its integrated digital bioprocess architecture in 2026. Its Biobrain framework connects equipment control, supervision, operator orchestration and electronic batch records, while the Umetrics Digital Twin AI Ecosystem supports predictive modeling, deviation detection and real-time optimization.

Software Is Becoming the Scale-Up Layer

Bioprocess automation and control software monitors biological production while creating the electronic evidence needed to show that each batch was executed correctly. It can manage critical process parameters such as temperature, pH, dissolved oxygen, pressure, flow and agitation while connecting them with recipes, alarms, operator actions and quality records.

This role becomes more important as manufacturers move from development vessels to commercial bioreactors, adopt single-use equipment or transfer processes between internal sites and CDMOs. A process that works at one scale can fail during transfer when control logic, data structures or equipment interfaces change. A consistent digital architecture reduces that risk by preserving process definitions and contextualized data across the product lifecycle.

Intensified and continuous processes also operate within narrower control windows. Process analytical technology, soft sensors and real-time analytics can detect drift before a specification is breached, but only when instruments and data platforms are integrated with the control system.

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Compliance Is Moving From Documentation to Execution

Electronic batch records, manufacturing execution systems and digital workflows can reduce transcription errors, accelerate review and make deviations easier to investigate. However, replacing paper does not automatically create compliant manufacturing.

Systems must be validated for their intended use, user access must be controlled, audit trails must be reviewable and records must remain complete, consistent and accurate. FDA guidance identifies data integrity as a core CGMP requirement, while European computerized-system rules emphasize risk management, security, electronic records and controlled system lifecycles.

The main adoption barriers include:
- Proprietary interfaces in legacy equipment
- Paper or hybrid records that fragment process history
- Validation and change-control costs
- Inconsistent data models across sites
- Cybersecurity exposure between IT and operational technology
- Limited bioprocess automation expertise

AI process control adds opportunity and risk. Predictive models can recommend setpoints, detect anomalies and support real-time release, but regulated use requires controlled training data, model governance and evidence that updates do not compromise product quality.

Market Segmentation Reflects the Connected Manufacturing Stack

DataM Intelligence segments the market by software type into bioprocess control software, data-management and analytics software, quality management software, laboratory information management systems and manufacturing execution systems. Deployment models include on-premises, cloud-based and hybrid systems. Applications span upstream and downstream processing, monitoring, R&D, process development, optimization and scale-up. End users include biopharmaceutical companies, pharmaceutical manufacturers, contract manufacturing organizations and research institutions.

The larger opportunity lies in connecting SCADA and distributed control systems with MES, digital batch records, laboratory systems, QMS platforms and enterprise analytics. Hybrid deployment is especially relevant because manufacturers may need cloud-scale analysis while retaining validated, low-latency control inside the facility.

Regional Manufacturing Priorities Shape Adoption

The USA combines a large biotechnology base with strict CGMP and electronic-record expectations, encouraging investment in validated automation, data-integrity controls and scalable CDMO networks.

Japan places strong emphasis on GMP inspection and documented manufacturing controls, making validated implementation, supplier support and controlled technology transfer important for local deployments.

Germany operates within the EU GMP framework for computerized systems and offers a strong pharmaceutical-engineering environment for MES modernization, modular production and cross-site standardization.

South Korea combines expanding biologics capacity with formal pharmaceutical GMP requirements, creating demand for platforms that support high-throughput production, traceable records and post-approval process control.

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Leading Companies Are Competing on Integration Depth

Emerson positions DeltaV as an integrated control, MES, historian and analytics environment. Its 2026 release strengthens its value for manufacturers seeking one architecture that can scale from unit operations to enterprise visibility.

Cytiva combines bioprocess equipment, automation and digital solutions. Figurate SCADA matters because it addresses multi-vendor interoperability and offers a common path from development to commercial manufacturing.

Sartorius connects Biobrain process control with supervision, operator guidance, electronic records and Umetrics analytics, supporting process intensification and predictive digital biomanufacturing.

Eppendorf provides bioreactors, controllers and software for upstream development and scale-up. Its 2026 updates demonstrate the importance of cybersecurity and software support throughout the installed system lifecycle.

Production Readiness Will Depend on Digital Readiness

The strongest automation investments will reduce scale-up risk, shorten batch review, improve process visibility and create reusable digital standards across products and sites. Purchasing isolated software without an integration, validation and data-governance strategy can simply replace paper silos with digital ones.

In the bioprocess automation and control software market, competitive advantage will come from platforms that connect process science, equipment execution, quality oversight and enterprise learning. For biologics manufacturers and CDMOs, digital readiness is becoming a direct measure of production readiness.

Read Exclusive Report Description: https://www.datamintelligence.com/research-report/bioprocess-automation-and-control-software-market

Contact:
Fabian Mathew
DataM Intelligence 4market Research LLP
6th Floor, M2 Tech Hub, DataM Intelligence 4market Research LLP, Lalitha Nagar, Habsiguda, Secunderabad, Hyderabad, Telangana 500039
USA: +1 877-441-4866
Email: fabian@datamintelligence.com

About DataM Intelligence
DataM Intelligence is a global market research and business intelligence firm delivering actionable insights across healthcare, pharmaceuticals, chemicals, energy, technology, food, and industrial sectors. Through syndicated reports, custom research, consulting, and competitive intelligence services, the company helps organizations identify growth opportunities, navigate market challenges, and make informed strategic decisions in over 50+ countries worldwide.

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