Global AI in Drug Discovery Market By Component, By Technology, By Drug Type, By Application, By Diseases, By End User, By Region, Forecast & Opportunities, 2025
- May 2020 •
- 111 pages •
- Report ID: 5916828 •
- Format: PDF
This report is 80% complete and can be delivered within three working days post order confirmation and will include the latest impact analysis of Covid-19 in 2020 and forecast.
Global AI in Drug Discovery Market By Component (Software v/s Services), By Technology (Machine Learning, Deep Learning, Others), By Drug Type (Small Molecule v/s Large Molecule), By Application (Target Identification, In Silico Drug Design, Drug Development, Big Data Analytics, Others), By Diseases (Immuno-oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases, Others), By End User (Pharmaceutical & Biotechnology Companies, Contract Research Organizations, Research Centers and Academic & Government Institutes), By Region, Forecast & Opportunities, 2025
Global AI in drug discovery market is expected to grow at a robust CAGR during the forecast period.The global AI in drug discovery market is driven by the growing need to shorten the drug discovery process in order to get drugs faster for treating various chronic and viral diseases.
Additionally, AI helps in understanding the mechanism of disease, establishing biomarkers and generating data or models for the drug discovery process and thereby expected to propel the market over the next few years. Furthermore, increasing R&D activities and software launches by the major market players is expected to spur the market through 2025.
The global AI in drug discovery market is segmented based on component, technology, drug type, application, diseases, end user, company and region.Based on component, the market can be bifurcated into software and services.
The software segment is expected to dominate the market during forecast period owing to the continuous software advancements that caters to the requirements of healthcare industry.Based on application, the market can be fragmented into target identification, in silico drug design, drug development, big data analytics, prediction of study risks, patient matching and others.
The drug development segment is expected to witness significant growth over the next few years.This can be ascribed to the role of AI in designing drugs, setting up preclinical experiments and running clinical trials.
Based on disease, the market can be grouped into immuno-oncology, neurodegenerative diseases, cardiovascular diseases, metabolic diseases, others. The immune-oncology segment is expected to register the highest CAGR during the forecast years on account of the growing demand for effective cancer treatment drugs.
Regionally, the AI in drug discovery market has been segmented into Asia-Pacific, North America, South America, Europe, and Middle East & Africa. Among these, North America is expected to dominate the overall AI in drug discovery market owing to the early adoption of technologies and well developed healthcare infrastructure in the region.
Major players operating in the global AI in drug discovery market include IBM Corporation, Microsoft Corporation, Google Inc., NVIDIA Corporation, Pfizer, Merck, GSK, Novartis, AstraZeneca, Abbvie, Elli Lilly, Atomwise, Inc, Deep Genomics, Cloud Pharmaceuticals, Exscientia, Cyclica, Numerate, Envisagenics, OWKIN, Inc., Verge Genomics and others. The companies are developing advanced technologies and launching new services in order to stay competitive in the market. Other competitive strategies include mergers & acquisitions and new service developments. For instance, in 2016, IBM along with Pfizer launched IBM Watson, a cloud based platform for drug discovery. IBM Watson allows users to analyze personal medical data such as medical reports and helps the researchers in identifying relationship between potential medical data using dynamic visualizations.
Years considered for this report:
Historical Years: 2015-2018
Base Year: 2019
Estimated Year: 2020
Forecast Period: 2021–2025
Objective of the Study:
• To analyze and estimate the market size of global AI in drug discovery market from 2015 to 2018.
• To estimate and forecast the market size of global AI in drug discovery market from 2019 to 2025 and growth rate until 2025.
• To classify and forecast global AI in drug discovery market based on component, technology, drug type, application, diseases, end user, company and regional distribution.
• To identify dominant region or segment in the global AI in drug discovery market.
• To identify drivers and challenges for global AI in drug discovery market.
• To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in global AI in drug discovery market.
• To identify and analyze the profile of leading players operating in global AI in drug discovery market.
• To identify key sustainable strategies adopted by market players in global AI in drug discovery market.
The analyst performed both primary as well as exhaustive secondary research for this study.Initially, the analyst sourced a list of service providers across the globe.
Subsequently, the analyst conducted primary research surveys with the identified companies.While interviewing, the respondents were also enquired about their competitors.
Through this technique, the analyst could include the service providers which could not be identified due to the limitations of secondary research. The analyst examined the service providers, distribution channels and presence of all major players across the globe.
The analyst calculated the market size of global AI in drug discovery market using a bottom-up approach, wherein data for various end-user segments was recorded and forecast for the future years. The analyst sourced these values from the industry experts and company representatives and externally validated through analyzing historical data of these product types and applications for getting an appropriate, overall market size.
Various secondary sources such as company websites, news articles, press releases, company annual reports, investor presentations and financial reports were also studied by the analyst.
Key Target Audience:
• AI in drug discovery service providers, vendors and other stakeholders
• Government bodies such as regulating authorities and policy makers
• Organizations, forums and alliances related to AI in drug discovery
• Market research and consulting firms
The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as service providers, suppliers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.
In this report, global AI in drug discovery market has been segmented into following categories, in addition to the industry trends which have also been detailed below:
• Global AI in Drug Discovery Market, By Component:
• Global AI in Drug Discovery Market, By Technology:
o Machine Learning
o Deep Learning
• Global AI in Drug Discovery Market, By Drug Type:
o Small Molecule
o Large Molecule
• Global AI in Drug Discovery Market, By Application:
o Target Identification
o In Silico Drug Design
o Drug Development
o Big Data Analytics
o Prediction Of Study Risks
o Patient Matching
• Global AI in Drug Discovery Market, By Diseases:
o Neurodegenerative Diseases
o Cardiovascular Diseases
o Metabolic Diseases
• Global AI in Drug Discovery Market, By End User:
o Pharmaceutical & Biotechnology Companies
o Contract Research Organizations
o Research Centers and Academic & Government Institutes
• Global AI in Drug Discovery Market, By Region:
o North America
- United States
- United Kingdom
- South Korea
o Middle East & Africa
- South Africa
- Saudi Arabia
o South America
Company Profiles: Detailed analysis of the major companies present in global AI in drug discovery market.
With the given market data, we offers customizations according to a company’s specific needs. The following customization options are available for the report:
• Detailed analysis and profiling of additional market players (up to five).