Key Points
- The CDMO market is growing rapidly as precision medicine, complex formulations, highly potent APIs, and more advanced delivery systems create greater demand for specialized development and manufacturing partners.
- CDMOs are increasingly using AI, predictive modeling, integrated development workflows, and data-driven tools to accelerate formulation decisions, reduce material use, improve scale-up, and lower development risk.
- Across oral solids, injectables, biologics, inhaled therapies, lipid-based systems, and complex dosage forms, successful CDMO partnerships depend on early problem-solving, manufacturability planning, regulatory readiness, and scalable process design.
The global contract development and manufacturing organization (CDMO) market size was valued at $255 billion in 2025 and is projected to grow from $273.40 billion this year to almost $581 billion by 2034. 1 Growing focus on precision medicine, the ability to handle more complex formulations, and a recent interest in highly potent active pharmaceutical ingredients is driving CDMO demand.
To be more efficient, CMDOs are turning to AI and data-driven tools. These technologies play a more practical role in formulation development and manufacturing, particularly in analyzing historical datasets and informing experimental design. While AI isn’t replacing scientific expertise, it is helping teams review larger datasets faster and make more informed decisions.
Many of the leading CDMOs highlight their capabilities and share real-world examples of how they solved clients’ formulation and manufacturing challenges in this exclusive Drug Development & Delivery annual report so that you can find the right provider for your own project.
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Hovione: Seamless One-Site Stop Integration from ASD Development to Drug Product Manufacturing
Hovione is a CDMO provider of Amorphous Solid Dispersions (ASDs) formulations manufactured by spray drying to address solubility and bioavailability challenges. This formulation strategy is integrated with downstream manufacturing of the final dosage form, such as tablets or capsules or nasal drug delivery.
“Hovione’s spray drying expertise is unique thanks to our regulatory track record, a large GMP spray drying capacity, and our ability to offer seamless “one-site stop” integration from ASD development to drug product manufacturing, for both batch and continuous tableting,” says João Ventura, PhD, Senior Director, Strategic Business Management – Pharma, Hovione. ASDs by spray drying has become a leading formulation strategy. This demand has also triggered growth in integrated and specialized offerings from CDMOs that integrate ASD formulation manufacturing with downstream manufacturing services into final dosage forms.
In formulation development, artificial intelligence (AI) tools enable faster, data-driven process and approaches with minimal experimental work and material consumption. Application examples include integrated formulation development and screening tools, such as Hovione’s ASD-HIPROS, capable of rapidly screening for the best combination of drug loads, excipients, and surfactants using advanced formulation models and high-throughput screening methods supported by AI tools. At Hovione, these tools are based on hybrid mathematical models that combine mechanistic understanding with machine learning methods, enabling scientists to predict drug-polymer behavior and optimize formulation composition in a fraction of the time, Dr. Ventura says.
In manufacturing, AI tools are being used to support increased digitalization and automation of manufacturing processes, informing greater understanding and insights from data-rich manufacturing process execution that support continuous improvements. In continuous tableting, advanced control strategies (PAT and real-time quality control) are being deployed to enhance process robustness and scalability.
“In early development stages, we use ASD-HIPROS, our data-driven high throughput screening tool, to rapidly characterize the challenge and select the most appropriate strategy, screening for the best combination of drug loads, excipients, and surfactants to create a robust, scalable spray drying process from the outset,” he explains. “We then apply Quality-by-Design principles and standardized tech transfer methodologies to ensure scalability and derisk the transition to GMP manufacturing.”
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