Report Scope & Overview:
Artificial intelligence in drug discovery market is projected to arrive at USD 11.15 billion by 2030 from USD 722.3 million of every 2022, at a CAGR of 40.8% during the gauge time frame 2023-2030. The development of the man-made brainpower in (AI)drug discovery market is fundamentally determined by elements like the developing number of cross-industry coordinated efforts and associations, the rising need to control drug disclosure and improvement costs and lessen the general time taken in this interaction, the rising reception of cloud-based applications and administrations, and the approaching patent expiry of blockbuster drugs.
Then again, an absence of informational collections in the field of medication disclosure and the deficient accessibility of gifted work are a portion of the elements testing the development of the market. Man-made reasoning has huge applications in the medication revelation field as it helps track sicknesses, make illness fixes and foresee which creature infections seem to transform. Man-made consciousness has been known to upgrade R&D in drug disclosure, which has assisted analysts with finding constant illness medicines. Drug disclosure and advancement in the fields of medication, pharmacology, and biotechnology are processes for the creation, plan, and acquisition of a medication through distinguishing a natural objective, like catalyst protein, quality, or receptor. Beforehand, the medications were found by distinguishing the dynamic fixing regular medicines. Subsequently, drug disclosure is the initial phase during the time spent distinguishing possible novel medications and their restorative reason. New standards for drugs are estimated in light of their bioavailability, adequacy, power, and poisonousness.
Impact of COVID on artificial intelligence for drug discovery
It is assessed that computerized reasoning for Artificial intelligence in drug discovery market would show a critical market development because of the Covid-19 pandemic, inferable from ascending in the reception of AI to find and foster medications for treatment of COVID-19. For example, in June 2020 Repurpose.AI teamed up with Scripps Research to foster COVID-19 therapeutics with an emphasis on drug reusing. Man-made reasoning based drug screening strategies will hypothetically assist with making sense of significant pieces of the infection, (for example, protein structure) to survey how the elements of the infection can assume a fundamental part in a drug plan and speed up antibody advancements to battle COVID-19. Besides, Artificial knowledge can help drug disclosure and advancement process by rapidly recognizing drugs having viability against COVID-19. This overcomes any issues between a number of reused drugs (involving existing medications for different illnesses), clinical testing, and the last medication approval process.
The product section represented the biggest portion of the AI in the drug discovery market, by type, in 2021
In view of offering, the man-made brainpower in the medication disclosure market is sectioned into programming and administration. In 2020, the product fragment represented a bigger portion of the overall industry during the conjecture time frame. Factors, for example, less expense and time to advertise the medication, low disappointment rate, an enormous number of programming engineers for drug disclosure, and solid interest for the product among large pharma and biotech organizations and examination foundations are driving the development of the product fragment.
The neurodegenerative illnesses section is supposed to develop at the most elevated CAGR during the gauge time frame.
In view of the application, the computerized reasoning in the medication disclosure market is divided into neurodegenerative sicknesses, immuno-oncology, cardiovascular illness, metabolic infections, and different applications. Neurodegenerative illnesses structure the quickest developing application fragment, with a most noteworthy CAGR during the estimated time frame. The capacity of AI to find drugs for complex circumstances and the accentuation of market players on giving AI-based stages to neurological illnesses are liable for the quick development of this application portion.
The drug and biotechnology organizations portion represented the biggest portion of the AI in the drug discovery market in 2021
In light of end-client, the AI in the drug delivery market is sectioned into drug and biotechnology organizations, contract research associations, examination focuses, and scholarly, and government establishments. In 2018, the drug and biotechnology organizations section represented the biggest offer in the AI in the medication disclosure market.
North America represented the biggest portion of the AI in the drug discovery market in 2021
The worldwide AI in the medication disclosure market is sectioned into four significant areas, specifically, North America, Europe, APAC, and the Rest of the World. In 2022, North America was the biggest and the quickest developing provincial market for AI in drug revelation. North America, which involves the US, Canada, and Mexico, frames the biggest market for AI in drug disclosure. These nations have been early adopters of AI innovation in drug disclosure and advancement. In the North American market, the US is a significant supporter. Likewise, unmistakable AI innovation suppliers, like IBM, Google, Microsoft, NVIDIA, and Intel, are settled in the US; their solid presence is a critical supporter of market development. Different drivers incorporate the deep-rooted drug industry, high spotlight on R&D and significant speculation, and the presence of worldwide driving drug organizations. These are a portion of the central point answerable for the huge offer and high development pace of this market.
Key players in the AI in the drug discovery market
The AI in the medication revelation market is divided in nature, with an enormous number of players, including level 1, mid-level organizations, and startup firms, going after portions of the overall industry. The conspicuous players in the worldwide AI in drug revelation market incorporate IBM Corporation, Microsoft, and Google, NVIDIA Corporation, Atomwise, Inc., Deep Genomics, Cloud Pharmaceuticals, Insilico Medicine, BenevolentAI, Exscientia, Cyclica, BIOAGE, Numerate, NuMedii, Envisagenics, twoXAR, OWKIN, Inc., XtalPi, Verge Genomics, and BERG LLC.
KEY MARKET SEGMENTS:
Pharmaceutical & Biotechnology Companies
Contract Research Organizations
Academic & Government Institutes
Excavation and mining
North America held the major man-made consciousness for drug disclosure and improvement portion of the overall industry in 2021 and is supposed to proceed with its strength during the estimated time frame, attributable to solid economies like the U.S. furthermore, Canada; high reception pace of AI innovations because of an enormous number of speculations to support the medication disclosure industry; and a huge number of cross-industry joint efforts and associations, which significantly fuel the market development. Be that as it may, Asia-Pacific is supposed to develop at the most noteworthy CAGR during the estimated time frame, inferable from ascending in the reception of cutting edge AI advancements and development in the focal point of central parts on expanding their presence in arising Asian nations.
Exhaustive cutthroat examination and profiles of the major man-made consciousness for drug revelation and improvement market players like Alphabet Inc., Atomwise, Inc., Benevolent AI, Cloud Pharmaceutical, Deep Genomics, Exscientia, IBM Corporation, Insilico Medicine Inc., Microsoft Corporation, and Nvidia Corporation are given in this report.
Rest of Europe
Rest of Asia-Pacific
The Middle East & Africa
Rest of Middle East & Africa
Rest of Latin America
|Market Size in 2022||US$ 722.3 Million|
|Market Size by 2030||US$ 11.15 Billion|
|CAGR||CAGR of 40.8% From 2023 to 2030|
|Report Scope & Coverage||Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook|
|Key Segments||• By Components (software and service)
• By Technology (Machine learning, deep learning, Supervised Learning, Reinforcement Learning, Unsupervised Learning, Others)
• By Application
• By End Use
|Regional Analysis/Coverage||North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
|Company Profiles||IBM Corporation, Microsoft, and Google, NVIDIA Corporation, Atomwise, Inc., Deep Genomics, Cloud Pharmaceuticals, Insilico Medicine, BenevolentAI, Exscientia, Cyclica, BIOAGE, Numerate, NuMedii, Envisagenics, twoXAR, OWKIN, Inc., XtalPi, Verge Genomics, and BERG LLC.|
Ans. The Global Artificial intelligence in drug discovery market is estimated to reach $11.15 billion by 2030.
Ans. Manufacturer and service provider, research institutes, university and private libraries, suppliers and distributers.
Ans. Neurodegenerative diseases, immuno-oncology, cardiovascular diseases, and metabolic diseases form AI in the drug discovery industry. Due to the growing demand for effective cancer treatment, the immuno-oncology segment holds the highest share of AI in the drug discovery market.
Ans. North America has the largest market share in AI in Drug Discovery Market.
Ans. The drivers of AI in Drug Discovery Market include Increasing Adoption of Artificial Intelligence in Healthcare Sector and growing Investment in Healthcare Sector
Table of Contents
1.1 Market Definition
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
4. Impact Analysis
4.1 COVID-19 Impact Analysis
4.2 Impact of Ukraine- Russia war
4.3 Impact of ongoing Recession
4.3.2 Impact on major economies
126.96.36.199 United Kingdom
188.8.131.52 South Korea
184.108.40.206 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Artificial Intelligence in Drug Discovery Market Segmentation,by Component
9. Artificial Intelligence in Drug Discovery Market Segmentation, by technology
9.1 Machine Learning
9.2 Deep Learning
9.3 Supervised Learning
9.4 Reinforcement Learning
9.5 Unsupervised Learning
9.7 Others Technologies
10 .Artificial Intelligence in Drug Discovery Market Segmentation, By end use
10.1 Pharmaceutical & Biotechnology Companies
10.2 Contract Research Organizations
10.3 Research Centres
10.4 Academic & Government Institutes
11. Artificial Intelligence in Drug Discovery Market Segmentation, By application
11.1Excavation and mining
11.3 Neurodegenerative Diseases
11.4 Cardiovascular Diseases
11.5 Metabolic Diseases
12. Regional Analysis
12.2 North America
12.3.6 The Netherlands
12.3.7 Rest of Europe
12.4.2 South Korea
12.4.6 Rest of Asia-Pacific
12.5 The Middle East & Africa
12.5.3 South Africa
12.6 Latin America
12.6.3 Rest of Latin America
13. Company Profiles
13.1.2 Products/ Services Offered
13.1.3 SWOT Analysis
13.1.4 The SNS view
13.2 AB VOLVO
13.3 CATTERPILLAR INC.
13.4 CNH INDUSTRIAL N.V
13.5 DEERE AND COMPANY
13.6 DOOSAN INFRACOE CO.LTD
13.7 J C BAMFORD EXCAVATORS. LTD.
13.8 KOMATSU LTD.
13.9 Liebherr-international AG
13.10 XCMG GROUP
14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Market Share analysis
14.3 Recent Developments
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