Coherent Market Insights

Pharmaceutical Manufacturing Software Market to Surpass US$ 5.61 Bn by 2031

Pharmaceutical Manufacturing Software Market to Surpass US$ 5.61 Bn by 2031 - Coherent Market Insights

Publish In: Jun 21, 2024

Pharmaceutical manufacturing software market is estimated to witness high growth, owing to growing digital transformation and increasing regulatory compliance

Global pharmaceutical manufacturing software market is estimated to be valued at USD 3.10 Bn in 2024, exhibiting a CAGR of 8.8% over the forecast period 2024-2031. Global pharmaceutical manufacturing software market growth is majorly driven by growing adoption of digital technologies in the pharmaceutical sector and stringent regulatory norms mandating the use of advanced quality control and assurance solutions.

Market Dynamics:

Increased Regulatory Scrutiny: Regulatory bodies like the U.S. FDA have increased monitoring of pharmaceutical manufacturing operations to ensure product quality and compliance. This has necessitated pharmaceutical companies to adopt quality management software to digitally track and trace materials and processes.

Demand for Paperless Operations: Pharmaceutical manufacturers are increasingly automating document-intensive operations like batch record management, change control management, and compliance reporting using customized ERP and LIMS solutions. This boosts demand for paperless manufacturing execution systems.

Increasing Focus on Improving Operational Efficiency

Global pharmaceutical manufacturing software market growth is driven by increasing focus of pharma companies on improving their operational efficiency. Pharmaceutical manufacturing is a complex process that involves strict regulations and quality standards. Implementing manufacturing software allows companies to streamline their production processes, reduce costs, ensure compliance and gain end-to-end visibility of operations. Software solutions help automate workflows, manage batch records digitally, integrate equipment for real-time process monitoring and enable paperless manufacturing. This improves overall equipment effectiveness, eliminates manual errors and duplication of work. It allows companies to scale up production with minimum additional resources.

Growing Adoption of Connected Enterprise Models

Growing adoption of connected enterprise models in the pharma industry can drive the market growth. Manufacturers are increasingly implementing industry 4.0 technologies like IoT, cloud, edge computing and analytics to make their facilities smarter. Pharmaceutical manufacturing software plays a vital role in enabling connected enterprise capabilities. It allows real-time data collection from equipment on the shop floor, integration with enterprise resource planning (ERP) and manufacturing execution system (MES) for end-to-end visibility. This facilitates remote monitoring of production performance, predictive maintenance of assets and quick resolution of quality issues. Connected enterprise models improve collaboration between geographically dispersed R&D and manufacturing sites, enabling faster development and launch of new drugs.

Stringent Regulatory Environment

One of the major challenges faced by pharmaceutical manufacturing software market is stringent regulatory environment for pharma production. Regulatory bodies like the U.S. FDA impose strict cGMP (current good manufacturing practices) guidelines to ensure drugs are made under highly controlled and standardized conditions. This can act as restraint as any small change made to manufacturing processes or equipment needs regulatory review and approval. It increases compliance costs and lengthens the time taken to deploy new solutions. Software vendors also need to ensure their offerings adhere to 21 CFR Part 11 regulations for electronic records and signatures used in regulated clinical trials and manufacturing. Obtaining necessary validations inhibits quicker adoption of advanced technologies.

High Capital Investment Requirements

The high capital investment required for pharmaceutical manufacturing software and associated infrastructure can hamper the market growth. Implementing an integrated suite of applications for plant operations, compliance and quality can be expensive. This deters small manufacturers from investing in advanced software-driven solutions. Upgrading existing legacy systems can also be expensive for large pharma companies as these include license fees, implementation, customization and training expenses. Ongoing operational and maintenance costs are also costly. The long return on investment period discourages spending on non-critical applications during uncertain market conditions. This acts as a barrier, especially for companies in emerging economies.

Adoption of Cloud-Based Models

Rising adoption of cloud-based models can provide  opportunities for pharmaceutical manufacturing software providers. Traditional on-premise solutions require high upfront investments in hardware and have inflexible licensing models. In contrast, cloud-hosted Software-as-a-Service (SaaS) lowers the costs of ownership and eases cash flow pressures. It offers scalability and flexibility to pay only for actual usage. Cloud solutions are also easy to deploy and require minimal in-house IT resources. This makes the value proposition more compelling, especially for small and mid-sized pharma companies. Cloud services can also support remote collaboration for fast-tracking clinical trials and new product launches.

Growing Role of Digital Technologies

Digital technologies like augmented reality, predictive analytics, robotics, blockchain and artificial intelligence are profoundly impacting pharma operations and offers market growth opportunities. Pharmaceutical manufacturing software vendors are developing advanced solutions leveraging these technologies. For instance, AI-powered applications enable predictive quality management and enhance production efficiency. AR applications facilitate remote assistance, training and asset management. Blockchain enables secure traceability of raw materials and drug batches from source to consumer. Such innovative offerings cater to emerging technological needs, boosting demand. These provide greater visibility, control and cost optimization across the pharmaceutical value chain.

Link: https://www.coherentmarketinsights.com/market-insight/pharmaceutical-manufacturing-software-market-4901

Key Developments

  • Mareana, a pioneer in advanced data management solutions, introduced Connect CMC, an innovative AI-driven tool that is designed to revolutionize the management and analysis of data from drug manufacturing processes for small pharmaceutical and biotechnology firms. This cutting-edge solution is set to transform data handling practices within these industries, particularly benefiting companies that currently rely on paper batch records
  • On June 30, 2023, Körber, a technology company, launched a new partner program focused on biometric authentication to enhance identification speed in pharmaceutical manufacturing. PAS-X K.ME-IN program offers Werum PAS-X MES customers a ready-to-use interface for integrating biometric authentication technology.
  • In March 2022, Aizon, a developer of enterprise AI software, and Aggity, a Spain-based firm that focuses on business digital transformation, established a partnership to accelerate digital transformation within manufacturing operations at the world's biggest pharmaceutical and biotech companies
  • In March 2022, Triastek, Inc., a pharmaceutical company, and Siemens Ltd., a technology company in China, collaborated on digital technologies for the worldwide pharmaceutical business. Triastek's industry-leading 3D printing and digital pharmaceutical technologies, combined with Siemens' global experience in automation and digitalization, result in unique and disruptive pharmaceutical research and manufacturing solutions.

Key Players: Oracle Corporation, Pegasystems Inc., MasterControl Inc., Veeva Systems Inc., Siemens AG, Honeywell International Inc., Werum IT Solutions GmbH, Dassault Systèmes, Emerson Electric Co., Rockwell Automation Inc., Parsec Automation Corp., ABB Ltd., Aspen Technology Inc., Schneider Electric SE, Körber AG, Sparta Systems Inc., QAD Inc., Kinaxis Inc.

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