Given the increase in complexity of the drug discovery process, the overall R&D spending in the pharmaceutical contract manufacturing / biotechnology sector has grown from around USD 128 billion in 2008 to USD 158 billion in 2017. As a result, the industry is currently under tremendous pressure not only to meet the expectations of a growing patient population, but also to identify ways to mitigate the risks associated with novel drug discovery programs to avoid failure. Over the years, various computational tools and services have emerged, enabling the selection, modelling, analysis and optimization of potential lead candidates. The predictive power of computer aided drug discovery providers (CADD) has proven to be extremely advantageous, allowing researchers to bypass the random screening of billions of molecules across hundreds of biological targets. As a result, players offering novel in silico drug discovery services, such as CADD, have now become an integral part of the pharmaceutical industry.
CADD Service Providers Offer a Multitude of Capabilities Supporting Drug Discovery Initiatives
Over 120 firms are actively involved in providing CADD services for drug discovery; of these, around 15 players claim to have the capabilities to offer services for all steps of discovery
These Capabilities Rely on a Variety of Popular CADD Approaches
The market landscape is highly fragmented with several new entrants; majority of the companies offer structure-based drug design focused on early stage drug discovery
The Global Market Landscape is a Mix of Several Small and Large Companies
Featuring the presence of small-mid sized and large firms, the CADD service provider landscape is well-distributed across various geographies.
Potential Cost Savings is Amongst the Key Drivers Behind the CADD Evolution
Amongst its many advantages, such as expediting discovery timelines and improving product success, CADD enables significant cost savings as well.
Novel Computational Approaches will Further Enhance the Predictive Power of Models
The integration of novel computational techniques, such as artificial intelligence and cloud based platforms, with CADD approaches is likely to revolutionize the drug discovery process.
As the Market Matures, Consolidation will Drive a Lucrative Exit to Several Small Entities
Given its lucrative future potential, multiple acquisitions are anticipated to take place in the foreseen future, wherein the relative valuation of a player is likely to be a key determinant.
Overall, We Anticipate a Steady Growth in the Long-term
Driven by the growing demand for effective therapeutics and increase in drug discovery efforts across various therapeutic areas, the market is expected to witness sustained growth in future.
The Opportunity will be Well-Distributed across Different Market Segments
The overall opportunity within the computer aided drug discovery market is anticipated to be well-distributed across the various steps of drug discovery steps, type of molecules and the concerned clientele
The US and the EU will Likely Continue to be the Dominant Regions
The majority share is expected to be held by North America and Europe; however, Japan, China and certain other emerging markets are likely to grow at faster rate.
Arun is an enthusiastic professional and has been associated with Roots Analysis since the very early years. He has led multifaceted roles over the years be it business research, consulting, competitive intelligence, IT & technology, sales and marketing. He currently drives strategic thinking and execution within the sales and marketing domain. With educational background in life sciences from Thapar University and digital marketing credentials from Indian School of Business, he has led a lot of critical initiatives at the organization. His background in life sciences has been one of the key reasons for quick understanding and implementation of customized marketing strategies. During his early years, he has led multiple consulting assignments for global clients ranging from competitive landscaping, deal structuring and preparing go-to-market strategy for his clients.