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Artificial Intelligence (AI) is a technological system designed with a set of domains including knowledge representation, reasoning, solution search and machine learning to mimic the human intelligence. AI has a potential to interpret and learn from the input data to make independent decisions by using system, software, tools and network. The increasing applications of AI in various sectors particularly pharmaceutical industry has greatly expanded the market in recent times. In this technical era, AI is used in drug discovery, drug repurposing, productivity improvement and workload reduction in the pharmaceutical sector. According to the McKinsey Global Institute, the work culture of the society will get transformed under the influence of AI-guided automations.
Artificial Intelligence (AI) for drug discovery can be used at various steps between drug designing to drug screening. The market is witnessing quick growth with increasing requirement to reduce overall cost and duration of drug development. There are ginormous piles of molecular data and literature in drug discovery space, AI makes it possible to screen the required data in minimum time. This leads to increasing adoption and expansion of AI industry. On an average, it takes nearly ten years to develop a drug successfully with an expenditure of US$ 2.6 billion. This long duration is due to the fact that plethora of candidate drugs are removed within the preclinical and phase 1 clinical trial. Due to this, majority of pharmaceutical industry stakeholders are interested in adopting artificial intelligence for a rapid, efficient, and cost-effective drug discovery.
The Artificial Intelligence (AI) in Drug Discovery Market is rising at global level with growing investment in healthcare infrastructure. Another aspect leading to lucrative growth of industry is the growing awareness related to the benefits offered by artificial intelligence in solving complex situations. Preclinical testing portion of drug discovery has maximum chances of revenue loss, using AI-based models in testing can eradicate high experimental costs and help in the efficient prediction which results in sharp rise in the market which is expected to grow substantially during the forecast period also. The global Artificial Intelligence (AI) in Drug Discovery Market can be segmented on the basis of following segments.
By Therapeutic Area
By End User
The above-mentioned drivers along with rising cross-industry collaborations and partnerships between the market vendors results in manifold profits in the market. However, lack of required data sets and unavailability of skilled workforce are some of the major challenges faced in adoption of AI in drug development field.
Artificial Intelligence (AI) tools are available as software and services, among these software holds comparatively larger portion of market share as there are plenty of software available and there is increasing demand of AI software from major tech-savvy biotech and pharma industries. By application, drug repurposing and optimization dominated the market. This dominance can be attributed to capability of AI to identify the toxic effects of the drug on the body which can reduce the negative side effects of drugs being developed. It also aids pharma companies in achieving a diversified product portfolio by identifying slight alterations in existing drugs.
Artificial Intelligence (AI) made it possible to design the drugs for complex conditions due to which neurological disorder segment has the maximum market share among all the therapeutic areas covered. Based on end user, the pharmaceutical and biotechnology companies segment occupied more than 50 per cent share of the artificial intelligence for drug discovery and development market in 2019.
North America is an early adopter of Artificial Intelligence (AI) which makes it the leading contributor in the market. This is attributed to the well-recognized pharmaceutical industry and high investment on research and development sector in the region. Moreover, the headquarters of prominent AI technology providers like Google, Microsoft, IBM and many others are all located in the US.
The process of discovering and developing a drug can take over a decade and then also, there is possibility that nine out of ten therapeutic molecules fail to cross the investigational study period. Therefore, it is important to develop a potential product for commercialization to minimize the uncertainty and maximize the growth. This can be achieved by adopting AI in drug discovery and development. Several key players are involved in the market are IBM Corporation, Microsoft Corporation, Google, NVIDIA Corporation, Cloud Pharmaceuticals, Inc., Indivumed GmbH, Deep Genomics, Atomwise, Inc., Insilico Medicine, Exscientia, Bioage, and Envisagenics, among others.