AI In Drug Discovery Market -Report, Size, Share and Growth Factors

 Artificial Intelligence (AI) in Drug Discovery Market Overview

AI drug discovery has proved itself as a vital part of the drugs industry. This technology is used for regulating drug innovation & progress costs and in decreasing the processing time. Fast adoption and other features will help the global AI in the drug discovery market to touch a 41% annual growth rate. AI method uses different algorithms for improving the drug designs, their molecular structures and classification of various forms of drugs. All of the above features are adding to the tally of the market and giving it a considerable push to reach new levels of success.

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AI in drug discovery has enlightened the workflow of medical facilities, and on the same page has helped in boosting care facilities. Extensive medical facilities have always tried to opt for better services and latest technologies with minimum space for mistakes. This technology has fastened the drug construction procedures for cases which need specialised medicinal attention, decreases failure risks and also the cost of research & development procedures. All these major features have pushed the authorities to adopt AI technology and have increased the AI in the drug discovery market.

In the absence of AI technology, any new drug development procedures can take years for development and substantial money. Apart from all these factors, AI is still a faraway story for most economies as it is costly, limited awareness and lack of skilled professional workers. These points are a major setback for the growth of the industry.

Market Segments of the Artificial Intelligence (AI) in Drug Discovery Market

The global market for AI in drug discovery is segmented into three factors:

Product type: There are three types of products, namely software, hardware and services.

Technology-based: Technologies like machine learning, deep learning, natural language processing and querying method are some examples of technology.

Application-based: AI technology is used in candidate screening, preclinical testing, target identification and others.

End-Users: Contract research organisations (CROs), pharma and biotech industries and government research facilities are some of the end-users.

Artificial Intelligence (AI) in Drug Discovery Market Regional Overview

America, Europe, Asia Pacific and The Middle East & Africa are the four markets observed for the AI in drugs discovery market.

The American region is the current market leader with the US and Canada as the major shareholding markets. Demand for new technologies, the presence of sound AI developers and increased investments in the direction of research & development are the major factors driving the market in this region. This region will maintain its position until the projected period.

The European region is the second-largest AI market. With the increasing demand for faster results and accuracy are helping the global AI in the drug discovery market grow in this region. Authorities and industries are hiring and collaborating with AI experts for easy attainment of such methods.

Asia Pacific region is in third place but will pop out as the fastest growing market in future perspective. There are continuous efforts to make this technology a common practice, and for that, companies are collaborating for better and reliable results.

The Middle East & African region is the smallest industry due to low economic developments and deliberate efforts towards creating a strong medical sector.

Recent Industry News

As a costly technology, efforts are required to develop more adaptable technologies which become suitable for all and will expand this industries base. Asia Pacific region is making substantial efforts in adopting and developing in technologies, making it the fastest-growing market on a global scale. 

Key Players

• Microsoft Corporation
• IBM Corporation
• Google (A Subsidiary of Alphabet Inc.)
• Atomwise, Inc.
• Deep Genomics
• Cloud Pharmaceuticals, Inc.
• Insilico Medicine
• BenevolentAI
• Exscientia
• Cyclica
• Bioage
• Numerate
• Numedii, Inc.
• Envisagenics
• Twoxar, Incorporated
• Owkin, Inc.
• Xtalpi, Inc.
• Verge Genomics
• Berg LLC

 

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About Market Research Future:
At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.
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NOTE : Our team of researchers are studying Covid19 and its impact on various industry verticals and wherever required we will be considering covid19 footprints for a better analysis of markets and industries. Cordially get in touch for more details.

 

Covid19 Impact on AI in Drug Discovery Market SWOT Analysis, Major Key Players Revenue, Analysis and Forecasts to 2025

 Artificial Intelligence (AI) in Drug Discovery Market Overview

AI drug discovery has proved itself as a vital part of the drugs industry. This technology is used for regulating drug innovation & progress costs and in decreasing the processing time. Fast adoption and other features will help the global AI in the drug discovery market to touch a 41% annual growth rate. AI method uses different algorithms for improving the drug designs, their molecular structures and classification of various forms of drugs. All of the above features are adding to the tally of the market and giving it a considerable push to reach new levels of success.

Latest Free Sample Copy @ https://www.marketresearchfuture.com/sample_request/9393 

AI in drug discovery has enlightened the workflow of medical facilities, and on the same page has helped in boosting care facilities. Extensive medical facilities have always tried to opt for better services and latest technologies with minimum space for mistakes. This technology has fastened the drug construction procedures for cases which need specialised medicinal attention, decreases failure risks and also the cost of research & development procedures. All these major features have pushed the authorities to adopt AI technology and have increased the AI in the drug discovery market.

In the absence of AI technology, any new drug development procedures can take years for development and substantial money. Apart from all these factors, AI is still a faraway story for most economies as it is costly, limited awareness and lack of skilled professional workers. These points are a major setback for the growth of the industry.

Artificial Intelligence (AI) in Drug Discovery Market Regional Overview

America, Europe, Asia Pacific and The Middle East & Africa are the four markets observed for the AI in drugs discovery market.

The American region is the current market leader with the US and Canada as the major shareholding markets. Demand for new technologies, the presence of sound AI developers and increased investments in the direction of research & development are the major factors driving the market in this region. This region will maintain its position until the projected period.

The European region is the second-largest AI market. With the increasing demand for faster results and accuracy are helping the global AI in the drug discovery market grow in this region. Authorities and industries are hiring and collaborating with AI experts for easy attainment of such methods.

Asia Pacific region is in third place but will pop out as the fastest growing market in future perspective. There are continuous efforts to make this technology a common practice, and for that, companies are collaborating for better and reliable results.

The Middle East & African region is the smallest industry due to low economic developments and deliberate efforts towards creating a strong medical sector.

Market Segments of the Artificial Intelligence (AI) in Drug Discovery Market

The global market for AI in drug discovery is segmented into three factors:

Product type: There are three types of products, namely software, hardware and services.

Technology-based: Technologies like machine learning, deep learning, natural language processing and querying method are some examples of technology.

Application-based: AI technology is used in candidate screening, preclinical testing, target identification and others.

End-Users: Contract research organisations (CROs), pharma and biotech industries and government research facilities are some of the end-users.

Recent Industry News

As a costly technology, efforts are required to develop more adaptable technologies which become suitable for all and will expand this industries base. Asia Pacific region is making substantial efforts in adopting and developing in technologies, making it the fastest-growing market on a global scale. 

Key Players

• Microsoft Corporation
• IBM Corporation
• Google (A Subsidiary of Alphabet Inc.)
• Atomwise, Inc.
• Deep Genomics
• Cloud Pharmaceuticals, Inc.
• Insilico Medicine
• BenevolentAI
• Exscientia
• Cyclica
• Bioage
• Numerate
• Numedii, Inc.
• Envisagenics
• Twoxar, Incorporated
• Owkin, Inc.
• Xtalpi, Inc.
• Verge Genomics
• Berg LLC

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Table Of Contents

1. EXECUTIVE SUMMARY

1.1. Market Attractiveness Analysis

1.1.1. Global AI In Drug Discovery Market, By Product Type

1.1.2. Global AI In Drug Discovery Market, By Molecule Type

1.1.3. Global AI In Drug Discovery Market, By Technology

1.1.4. Global AI In Drug Discovery Market, By Indication

1.1.5. Global AI In Drug Discovery Market, By Application

1.1.6. Global AI In Drug Discovery Market, By End User

2. MARKET INTRODUCTION

2.1. Definition

2.2. Scope Of The Study

2.2.1. Research Objective

2.2.2. Assumptions

2.2.3. Limitations

3. RESEARCH METHODOLOGY

3.1. Overview

3.2. Data Mining

3.2.1. Secondary Research

3.2.2. Primary Research

3.2.2.1. Breakdown Of Primary Respondents

3.2.3. Forecasting Techniques

3.3. Research Methodology For Market Size Estimation

3.3.1. Bottom-Up Approach

3.3.2. Top-Down Approach

3.4. Data Triangulation

3.5. Validation

4. MARKET DYNAMICS

4.1. Overview

4.2. Drivers

4.3. Restraints

4.4. Opportunities

Continued...

AI in Drug Discovery Market 2020 | Demand | Analysis | Growth by 2025

The AI in drug discovery market is growing continually. Artificial intelligence technology has the potential to revolutionize the pharmaceutical sector and open whole new avenues for technology providers. Resultantly, the adoption of the AI technology to boost efficiency and throughput in clinician workflow is rising steadily. Moreover, the growing applications of AI technology in various drug discovery and development process escalate the market demand to furthered height. 

Processing and maintaining of data are the two major fields in smart healthcare systems, and any mistake can lead to disasters, AI reduces the risks of any absurd mistakes, which makes it a useful tool for the field. After observing the AI system's capacities and capabilities, the governments are adopting them for which they have increased the healthcare budgets and will accelerate the market's growth pace. As this is a software-powered system, the companies are regularly and rigorously working towards upgrading the systems with the latest software and solutions.

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According to Market Research Future (MRFR), the global AI in drug discovery market is poised to create a valuation of USD 2,015.1 MN by 2025, registering a massive 40.8% CAGR throughout the predicted years (2019 – 2025). Recent COVID 19 pandemic is projected to boost the size of the market. AI and machine learning integration in discovery and development applications are increasing to expedite drug development processes. 

Also, substantial investments made into AI business are projected to boost the market growth. AI integration minimizes the risk of adverse reactions during trials, reduces the drug discovery timeframe, and, most importantly, reduces drug development costs. Machine learning and other AI tools have a vast potential to make the discovery of new pharmaceuticals faster, cheaper, and more productively. As a result, major pharma companies are increasingly using AI technology for drug discovery. 

Moreover, rising numbers of start-ups operating in the AI spectrum drug discovery foster market growth. Simultaneously, increasing numbers of cross-industry partnerships formed to achieve improvements in drug development outcomes drive the growth of the market. On the other hand, high costs associated with AI integration are a major factor estimated to hamper the market growth. Also, the lack of adequate infrastructure in low economic countries obstructs the growth of the market. 

AI in Drug Discovery Market – Segments

The report is segmented into seven dynamics; 

By Product Type : Services and Software. 

By Molecule Type: Large and Small Molecules.

By Technology : Machine Learning, Deep Learning, and others. 

By Indication : Immuno-oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases, and others. 

By Application : Target Identification, Candidate Screening, De novo Drug Designing, Drug Optimization & Repurposing, Preclinical Testing, and others. 

By End-User : Pharmaceutical & Biotechnology Companies, Research Centers and Academic & Government Institutes, Contract Research Organizations, and others. 

By Regions      : Americas, Europe, Asia Pacific, and Rest-of-the-World. 

AI in Drug Discovery Market – Regional Analysis

North America dominates the global AI in drug discovery market. Market share attributes to the increasing prevalence of chronic diseases and high healthcare expenses. Moreover, the recent COVID 19 pandemic is estimated to increase the size of the regional market. Besides, factors such as the presence of growing numbers of big AI platform developers and a well-developed healthcare sector in the region allow rapid market growth. 

Increasing adoption of top AI platforms, including Google AI, Microsoft Azure, and TensorFlow by major pharma companies in drug discovery processes, boost the regional market growth. Moreover, increasing demand for Artificial Intelligence technologies from key pharmaceutical companies such as AbbVie, Genentech, Eli Lilly and Company, and Amgen, among others, drive the growth of the market. 

Europe stands second in the global AI in drug discovery market. Market growth is driven by the increasing R&D activities in the pharma sector and the high demand for AI solutions by drug development companies. Top pharma companies in the region form strategic partnerships with international AI service providers to expedite their drug discovery process, which, in turn, boosts the market growth. The UK, Germany, and France are the major growth contributors to the regional market. 

Additionally, substantial R&D investments and increasing government funding in the development of AI technology foster regional market growth. Furthermore, the recent COVID 19 epidemic is estimated to increase the size of the regional market. Besides, strategic deals between the UK government and industry players are expected to increase AI research investments. The European AI in the drug discovery market is projected to create a substantial revenue pocket. 

The Asia Pacific AI in drug discovery market is estimated to become the fastest-growing market. Factors such as the increasing demand for effective drug discovery solutions and rapidly growing pharmaceutical sectors in the region drive market growth. A number of start-ups in the region are working to integrate AI Drug discovery Market. It is predicted that the adoption of AI technologies in mainstream drug discovery protocols will take place in the future. With their increasing numbers of AI platform companies, countries like India and China contribute significantly to the regional market growth.

AI in Drug Discovery Market   - Competitive Analysis 

The global AI in drug discovery market appears fiercely competitive & fragmented due to the presence of numerous well-established players. To gain a larger competitive advantage in the market, these players incorporate strategic initiatives such as mergers & acquisitions, collaborations, technology launch, and expansion. Also, AI drug discovery companies make substantial investments to R&D and drive clinical studies.  

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Major Players: 

Players leading the global AI in drug discovery market include Microsoft Corporation, IBM Corporation, Alphabet Inc., Atomwise, Inc., Deep Genomics, Cloud Pharmaceuticals, Inc., Insilico Medicine, BenevolentAI, Exscientia, Cyclica, Bioage, Numerate, Numedii, Inc., Envisagenics, Twoxar, Incorporated, Owkin, Inc., Xtalpi, Inc., Verge Genomics, and Berg LLC, among others. 

Innovation/Industry/Related News:

June 01, 2020 ---- Syntekabio Inc. (South Korea), a bioinformatics venture firm and AI drug Development Company, announced the identification of a respiratory disease drug as a potential COVID19 therapeutics. The crystal structure of SARS-CoV-2’s 3CL protease (Mpro) is the main viral protease that plays a crucial role in viral gene expression and proliferation of the SARS-CoV-2 virus. As soon as this structural information became available, Syntekabio commenced AI screening using its proprietary AI platform DeepMatcherTM and supercomputer. The company screened 3,000 approved drugs and identified potential COVID-19 therapeutics.

NOTE: Our team of researchers are studying Covid19 and its impact on various industry verticals and wherever required we will be considering covid19 footprints for a better analysis of markets and industries. Cordially get in touch for more details.

About Market Research Future:

At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

Contact:

Akash Anand

Market Research Future

+1 646 845 9312

Email: sales@marketresearchfuture.com 

Analysis on AI in Drug Discovery Market Forecast till 2025

 AI in Drug Discovery Market Overview

Artificial intelligence (AI) has become an integral part of the drug discovery procedures as they are capable of unfolding the new aspects and are less time consuming, which makes them suitable for developing new products. This technique has found its primary usage in developing drugs for most complex diseases like pancreatic cancer and others. It has less faulty mechanisms and reduces any human-powered mistakes. All the factors mentioned above have attracted medical professionals, providing an instant and constant boost to this market.

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The pharmaceuticals and IT industries are collaborating to make this technology cheap and effective, which has helped the market gain desired growth. After observing the market and seeing the potentials, the major market players make hefty investments in AI, which has boosted the market and expanded the market stakes at the same time. As technology advances, the success rates are also increasing, which has increased its adoption, followed by increasing awareness in the developing regions.

Apart from the uses and features, the global AI in drug discovery market faces challenges from the high costs, lack of skilled personnel, and struggling healthcare system in weaker economies, which has degraded the market’s overall growth. This report provides a comprehensive outlook on competition, opportunities, drivers & restraints, and other factors affecting the local and global AI in drug discovery market. The global market is anticipated to register approximately a 40 % annual growth during this period.

AI in Drug Discovery Market Division

The global AI in drug discovery market is segmented into classes as follows:

The global AI in drug discovery market is segmented by software and services based on products.

The global AI in drug discovery market is segmented by large and small molecules based on molecule types.

Based on technology, the global AI in drug discovery market is segmented into deep learning, machine learning, and others.

Based on indication, the global AI in drug discovery market is segmented into neurodegenerative diseases, metabolic diseases, and others.

Based on applications, the global AI in drug discovery market is segmented into target screening, drug optimization, repurposing, and others.

AI in Drug Discovery Market Regional Classification

The AI in drug discovery market has gained global adoption due to its increase in chronic diseases, demands for better drugs, and a rise in healthcare standards. The Asia Pacific, North America, Europe, and the rest of the world are the major market studies for global AI in drug discovery market. The North American region is leading the market due to the presence of key manufacturers, demands for advanced technologies, increasing research & development activities, a well-established healthcare system, rigid regulations, and other factors. The Asia Pacific region will register the fastest growth rates due to the vast population covers, rapid urbanization, fast-developing healthcare systems, increasing health issues, and other factors.

AI in Drug Discovery Market Studied by Top Leaders

Industry News

The global AI in drug discovery market has gained instant growth and is constantly moving towards stable future stances. The global market is led by the North American region, whereas the Asia Pacific region will register the fastest growth.

Click here to get the short-term and long-term impact of COVID-19 on this Market:

https://www.marketresearchfuture.com/reports/ai-drug-discovery-market-9393

Key Players

• Microsoft Corporation
• IBM Corporation
• Google (A Subsidiary of Alphabet Inc.)
• Atomwise, Inc.
• Deep Genomics
• Cloud Pharmaceuticals, Inc.
• Insilico Medicine
• BenevolentAI
• Exscientia
• Cyclica
• Bioage
• Numerate
• Numedii, Inc.
• Envisagenics
• Twoxar, Incorporated
• Owkin, Inc.
• Xtalpi, Inc.
• Verge Genomics
• Berg LLC

NOTE: Our team of researchers are studying Covid19 and its impact on various industry verticals and wherever required we will be considering covid19 footprints for a better analysis of markets and industries. Cordially get in touch for more details.

About Market Research Future:

At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

Contact:                                    

Akash Anand                                                                        

Market Research Future

+1 646 845 9312

Email: sales@marketresearchfuture.com

 

AI in drug discovery Market is Projected to Grow at a High CAGR till 2025

 The AI in drug discovery market is growing continually. Artificial intelligence technology has the potential to revolutionize the pharmaceutical sector and open whole new avenues for technology providers. Resultantly, the adoption of the AI technology to boost efficiency and throughput in clinician workflow is rising steadily. Moreover, the growing applications of AI technology in various drug discovery and development process escalate the market demand to furthered height. 

Download Sample Table of Content PDF of COVID-19/CoronaVirus Impact Analysis of AI in drug discovery market 2020 @https://www.marketresearchfuture.com/sample_request/9393 

According to Market Research Future (MRFR), the global AI in drug discovery market is poised to create a valuation of USD 2,015.1 MN by 2025, registering a massive 40.8% CAGR throughout the predicted years (2019 – 2025). Recent COVID 19 pandemic is projected to boost the size of the market. AI and machine learning integration in discovery and development applications are increasing to expedite drug development processes. 

Also, substantial investments made into AI business are projected to boost the market growth. AI integration minimizes the risk of adverse reactions during trials, reduces the drug discovery timeframe, and, most importantly, reduces drug development costs. Machine learning and other AI tools have a vast potential to make the discovery of new pharmaceuticals faster, cheaper, and more productively. As a result, major pharma companies are increasingly using AI technology for drug discovery. 

Moreover, rising numbers of start-ups operating in the AI spectrum drug discovery foster market growth. Simultaneously, increasing numbers of cross-industry partnerships formed to achieve improvements in drug development outcomes drive the growth of the market. On the other hand, high costs associated with AI integration are a major factor estimated to hamper the market growth. Also, the lack of adequate infrastructure in low economic countries obstructs the growth of the market. 

AI in Drug Discovery Market – Segments

The report is segmented into seven dynamics; 

By Product Type : Services and Software. 

By Molecule Type: Large and Small Molecules.

By Technology : Machine Learning, Deep Learning, and others. 

By Indication : Immuno-oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases, and others. 

By Application : Target Identification, Candidate Screening, De novo Drug Designing, Drug Optimization & Repurposing, Preclinical Testing, and others. 

By End-User : Pharmaceutical & Biotechnology Companies, Research Centers and Academic & Government Institutes, Contract Research Organizations, and others. 

By Regions      : Americas, Europe, Asia Pacific, and Rest-of-the-World. 

AI in Drug Discovery Market – Regional Analysis

North America dominates the global AI in drug discovery market. Market share attributes to the increasing prevalence of chronic diseases and high healthcare expenses. Moreover, the recent COVID 19 pandemic is estimated to increase the size of the regional market. Besides, factors such as the presence of growing numbers of big AI platform developers and a well-developed healthcare sector in the region allow rapid market growth. 

Increasing adoption of top AI platforms, including Google AI, Microsoft Azure, and TensorFlow by major pharma companies in drug discovery processes, boost the regional market growth. Moreover, increasing demand for Artificial Intelligence technologies from key pharmaceutical companies such as AbbVie, Genentech, Eli Lilly and Company, and Amgen, among others, drive the growth of the market. 

Europe stands second in the global AI in drug discovery market. Market growth is driven by the increasing R&D activities in the pharma sector and the high demand for AI solutions by drug development companies. Top pharma companies in the region form strategic partnerships with international AI service providers to expedite their drug discovery process, which, in turn, boosts the market growth. The UK, Germany, and France are the major growth contributors to the regional market. 

Additionally, substantial R&D investments and increasing government funding in the development of AI technology foster regional market growth. Furthermore, the recent COVID 19 epidemic is estimated to increase the size of the regional market. Besides, strategic deals between the UK government and industry players are expected to increase AI research investments. The European AI in the drug discovery market is projected to create a substantial revenue pocket. 

The Asia Pacific AI in drug discovery market is estimated to become the fastest-growing market. Factors such as the increasing demand for effective drug discovery solutions and rapidly growing pharmaceutical sectors in the region drive market growth. A number of start-ups in the region are working to integrate AI Drug discovery Market. It is predicted that the adoption of AI technologies in mainstream drug discovery protocols will take place in the future. With their increasing numbers of AI platform companies, countries like India and China contribute significantly to the regional market growth.

AI in Drug Discovery Market   - Competitive Analysis 

The global AI in drug discovery market appears fiercely competitive & fragmented due to the presence of numerous well-established players. To gain a larger competitive advantage in the market, these players incorporate strategic initiatives such as mergers & acquisitions, collaborations, technology launch, and expansion. Also, AI drug discovery companies make substantial investments to R&D and drive clinical studies.  

Read More !! 

https://www.marketresearchfuture.com/reports/ai-drug-discovery-market-9393

Major Players: 

Players leading the global AI in drug discovery market include Microsoft Corporation, IBM Corporation, Alphabet Inc., Atomwise, Inc., Deep Genomics, Cloud Pharmaceuticals, Inc., Insilico Medicine, BenevolentAI, Exscientia, Cyclica, Bioage, Numerate, Numedii, Inc., Envisagenics, Twoxar, Incorporated, Owkin, Inc., Xtalpi, Inc., Verge Genomics, and Berg LLC, among others. 

Innovation/Industry/Related News:

June 01, 2020 ---- Syntekabio Inc. (South Korea), a bioinformatics venture firm and AI drug Development Company, announced the identification of a respiratory disease drug as a potential COVID19 therapeutics. The crystal structure of SARS-CoV-2’s 3CL protease (Mpro) is the main viral protease that plays a crucial role in viral gene expression and proliferation of the SARS-CoV-2 virus. As soon as this structural information became available, Syntekabio commenced AI screening using its proprietary AI platform DeepMatcherTM and supercomputer. The company screened 3,000 approved drugs and identified potential COVID-19 therapeutics.

NOTE: Our team of researchers are studying Covid19 and its impact on various industry verticals and wherever required we will be considering covid19 footprints for a better analysis of markets and industries. Cordially get in touch for more details.

About Market Research Future:

At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

Contact:

Akash Anand

Market Research Future

+1 646 845 9312

Email: sales@marketresearchfuture.com 

AI in Drug Discovery Market is Expected to Demonstrate a High CAGR Between 2019-2025

AI in Drug Discovery Market Highlights

According to MRFR analysis, the Global AI in Drug Discovery Market is expected to register a CAGR of 40.8% during the forecast period of 2019 to 2025 and is anticipated to reach USD 2,015.1 Million by 2025.

The growth of the global AI in drug discovery market is driven by various factors such as investments by industry giants into the AI business, increasing number of startups operating in AI spectrum for healthcare including drug discovery, machine learning, and other AI technologies and increased use of AI technology by major pharma companies in the drug discovery. In addition, the increasing number of cross-industry partnerships for achieving the common goal of improvement in the drug development outcomes is another factor for the growth of the AI in the drug discovery market. Below is the chart representing the number of AI-driven deals each of the Big Biopharma companies have disclosed till March 2019.

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However, the high cost of AI integration and lack of adequate infrastructure in low economy countries are thwarting the growth of the AI in the drug discovery market to some extent.

The global AI in the drug discovery market is expected to exhibit great growth potential in the future. Although there are few tech giants at the forefront of the AI technology at the moment, the competitive scenario is changing rapidly as the number of new entrants in the market is increasing continuously. As of February 2020, more than 200 startups have been operating in AI space for the healthcare sector.

Regional Analysis

The market has been divided, by region, into the Americas, Europe, Asia-Pacific, and the Middle East & Africa. The Americas region is expected to be the largest market owing to the number of big AI platform developers present in the region, such as Microsoft Azure, TensorFlow, and Google AI. The market in the Americas has further been branched into North America and Latin America, with the North American market divided into the US and Canada. Increasing demand for AI solutions by the pharmaceutical players such as AbbVie, Genentech, Amgen, and Eli Lilly and Company, among others, is pushing the market growth in the region. The European AI in drug discovery market is the second-largest market, and it has been categorized as Western Europe and Eastern Europe. The Western European market has further been divided as Germany, France, the UK, Italy, Spain, and the rest of Western Europe. High demand for AI platforms and increasing integration into the drug discovery by major players such as Novartis, AstraZeneca, GSK, BI, BMS, and Sanofi, among others, are expected to drive the growth of AI in drug discovery market in the European region.

The AI in drug discovery market in Asia-Pacific has been segmented into Japan, China, India, South Korea, Australia, and the rest of Asia-Pacific. Due to increasing R&D activities in the region and increasing adoption of the AI technologies by the pharma companies in countries like China and India, the market in Asia-Pacific is expected to grow at a significant rate during the forecast. The AI in drug discovery market in the Middle East & Africa has been divided into the Middle East and Africa.

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