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Artificial Intelligence for Drug Discovery Market Expected to Hit CAGR 42% by 2026

Artificial Intelligence for Drug Discovery Market size is expected to reach around US$ 8,149 Mn by 2026 and is expected to register a CAGR of above 42%.

Acumen Research and Consulting has recently published a new report titled Artificial Intelligence for Drug Discovery – global industry analysis, market size, growth opportunities and forecast, 2019 – 2026, which identifies various growth opportunities that shaping the size of the global Artificial Intelligence for Drug Discovery. This report provides a forecast and analysis of the global Artificial Intelligence for Drug Discovery. It also provides historical data of 2015 along with forecast data for 2026 in terms of volume and revenue. This exclusive report outlines the significant development and key market trends identified in the global Artificial Intelligence for Drug Discovery. The version of the report mainly focuses on the industrial goods and their consumption and production of Artificial Intelligence for Drug Discovery.

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The report consists of key market trends, which are likely to impact the growth of the market over the forecast period. Evaluation of in-depth industry trends is included in the report, along with their product innovations and key market growth.

ARC report also includes the macro-economic factors, which are likely to influence the growth of the global Artificial Intelligence for Drug Discovery during the forecast period. Along with the factors, the report also analyzes the growth opportunities of the global Artificial Intelligence for Drug Discovery. It sheds light on the trends, restraints, and drivers to understand the growth prospects followed by the key players in the global Artificial Intelligence for Drug Discovery.

ARC report gives a detailed outlook on the supply chain and the demand trends in the market. This in-depth study of the market which helps in determining the influence of various micro-economic and macro-economic factors. In totality, the report aids the understanding of the growth prospects of the global Artificial Intelligence for Drug Discovery over the forecast period.

The market size is estimated in terms of volume and value and will also help the shareholders of the Artificial Intelligence for Drug Discovery in identifying the profitable opportunities for their business development. The report also studied about top players functioning in the Artificial Intelligence for Drug Discovery along with their key market structure, strategies, key developments, and key financials.

Segment Analysis

ARC report focuses on the market attractiveness by assessing the key market segments. The report also combines region-wise segments for a better understanding of the supply and demand ratio of the global Artificial Intelligence for Drug Discovery. This exclusive study of the report analyzes the present and future market scenario and the industry trends that are influencing the growth of the segments. Besides, the report also covers the value chain analysis, supply chain analysis, and year-on-year basis analysis of the global Artificial Intelligence for Drug Discovery.

Competitive Landscape is the most valuable part of this report

Key financial developments of a particular company and product & company overview are some of the elements that help in acquiring information about top vendors in the market. This will help the audience in knowing about opportunities, strengths, threats and weaknesses that are facing by the key vendors across the world. As the competitive landscape is the most valuable part of any report, it consists of all the required information for the detailed study of top players. It is also an interesting part to find how exactly these key manufacturers implement various strategies to secure the top rank in the industry. Such an in-depth information is useful for the new entrants into the industry as they would be able to learn a bit from these key vendors. Similarly, the information provided in the research report will also be valuable for the renowned key players as well, as they come to know the strategies of their counterparts to sustain in the competitive industry.

The research study includes the profiles of key players and also analysis of their footprint in the global Artificial Intelligence for Drug Discovery. The profiles of the leading players are done with the analyzing of the Porter’s Five Force model and SWOT analysis to understand the competitive landscape in the Artificial Intelligence for Drug Discovery.

The study also encompasses market attractiveness, wherein the services are benchmarked based on market share, market size, and growth rate. The report provides a list of all the key players in the Artificial Intelligence for Drug Discovery along with a detailed analysis of the strategies, which the companies are adopting. The strategies mainly include new product development, research and development. Also provides revenue shares, company overview, and recent company developments to remain competitive in the market.

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Regional Analysis:

Based on the regions, the global Artificial Intelligence for Drug Discovery is segmented into Asia Pacific (China, Japan, South Korea, India, Australia, Indonesia, Thailand, Malaysia, Philippines and Vietnam), the Middle East and Africa (Turkey, GCC Countries, Egypt and South Africa), Europe (Germany, France, UK, Italy and Russia), North America (United States, Canada and Mexico), and Central and South America (Brazil and others).

Market Participants

The players profiled in the report include Atomwise, Inc., Insilico Medicine, BIOAGE, Numerate, NuMedii, Inc., Envisagenics, Cloud Pharmaceuticals, Inc., BenevolentAI, twoXAR, and Exscientia.

Market Segmentation

Market by Drug Type:

  • Small Molecule
  • Large Molecule

Market by Technology:

  • Deep Learning
  • Machine Learning

Market by Application:

  • Metabolic Disease
  • Cardiovascular Diseases
  • Oncology
  • Neurodegenerative Diseases
  • Others

Market by End use:

  • Pharmaceutical & Biotechnological Companies
  • Academic & Research Institutes
  • Others

Market by Region

  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • Australia
    • South Korea
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest if Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Meddle East & Africa

Table Of Content

CHAPTER 1. INDUSTRY OVERVIEW
1.1. Definition and Scope
1.1.1. Definition of Artificial Intelligence for Drug Discovery
1.1.2. Market Segmentation
1.1.3. List of Abbreviations
1.2. Summary
1.2.1. Market Snapshot
1.2.2. Artificial Intelligence for Drug Discovery Market By Drug Type
1.2.2.1. Global Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate Comparison By Drug Type (2015-2026)
1.2.2.2. Global Artificial Intelligence for Drug Discovery Market Revenue Share By Drug Type in 2018
1.2.2.3. Small Molecule
1.2.2.4. Large Molecule
1.2.3. Artificial Intelligence for Drug Discovery Market By Technology
1.2.3.1. Global Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate Comparison By Technology (2015-2026)
1.2.3.2. Deep Learning
1.2.3.3. Machine Learning
1.2.4. Artificial Intelligence for Drug Discovery Market By Application
1.2.4.1. Global Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate Comparison By Application (2015-2026)
1.2.4.2. Metabolic Disease
1.2.4.3. Cardiovascular Diseases
1.2.4.4. Oncology
1.2.4.5. Neurodegenerative Diseases
1.2.4.6. Others
1.2.5. Artificial Intelligence for Drug Discovery Market By End use
1.2.5.1. Global Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate Comparison By End User (2015-2026)
1.2.5.2. Pharmaceutical & Biotechnological Companies
1.2.5.3. Academic & Research Institutes
1.2.5.4. Others
1.2.6. Artificial Intelligence for Drug Discovery Market By Geography
1.2.6.1. Global Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate Comparison by Geography (2015-2026)
1.2.6.2. North America Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate(2015-2026)
1.2.6.3. Europe Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate(2015-2026)
1.2.6.4. Asia-Pacific Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate(2015-2026)
1.2.6.5. Latin America Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate(2015-2026)
1.2.6.6. Middle East and Africa (MEA)Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate(2015-2026)

CHAPTER 2. MARKET DYNAMICSAND COMPETITION ANALYSIS
2.1. Market Drivers
2.2. Restraints and Challenges
2.3. Growth Opportunities
2.4. Porter’s Five Forces Analysis
2.4.1. Bargaining Power of Suppliers
2.4.2. Bargaining Power of Buyers
2.4.3. Threat of Substitute
2.4.4. Threat of New Entrants
2.4.5. Degree of Competition
2.5. Value Chain Analysis
2.6. Cost Structure Analysis
2.6.1. Raw Material and Suppliers
2.6.2. Manufacturing Process Analysis
2.7. Regulatory Compliance
2.8. Competitive Landscape, 2018
2.8.1. Player Positioning Analysis
2.8.2. Key Strategies Adopted By Leading Players

CHAPTER 3. MANUFACTURING PLANTS ANALYSIS
3.1. Capacity and Commercial Production Date of Global Artificial Intelligence for Drug Discovery Major Manufacturers in 2018
3.2. Manufacturing Plants Distribution of Global Artificial Intelligence for Drug Discovery Major Manufacturers in 2018
3.3. R&D Status and Technology Source of Global Artificial Intelligence for Drug Discovery Major Manufacturers in 2018
3.4. Raw Materials Sources Analysis of Global Artificial Intelligence for Drug Discovery Major Manufacturers in 2018

CHAPTER 4. ARTIFICIAL INTELLIGENCE FOR DRUG DISCOVERY MARKET BY DRUG TYPE
4.1. Global Artificial Intelligence for Drug Discovery Revenue By Drug Type
4.2. Small Molecule
4.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
4.3. Large Molecule
4.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)

CHAPTER 5. ARTIFICIAL INTELLIGENCE FOR DRUG DISCOVERY MARKET BY TECHNOLOGY
5.1. Global Artificial Intelligence for Drug Discovery Revenue By Technology
5.2. Deep Learning
5.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
5.3. Machine Learning
5.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)

CHAPTER 6. ARTIFICIAL INTELLIGENCE FOR DRUG DISCOVERY MARKET BY APPLICATION
6.1. Global Artificial Intelligence for Drug Discovery Revenue By Application
6.2. Metabolic Disease
6.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.3. Cardiovascular Diseases
6.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.4. Oncology
6.4.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.4.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.5. Neurodegenerative Diseases
6.5.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.5.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.6. Others
6.6.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.6.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)

CHAPTER 7. ARTIFICIAL INTELLIGENCE FOR DRUG DISCOVERY MARKET By END USE
7.1. Global Artificial Intelligence for Drug Discovery Revenue By End Use
7.2. Pharmaceutical & Biotechnological Companies
7.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
7.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
7.3. Academic & Research Institutes
7.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
7.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
7.4. Others
7.4.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
7.4.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)

Research Methodology

To compile the detailed study of the global Artificial Intelligence for Drug Discovery, a robust research methodology has been adopted that aids in determining the key insights and also evaluates the growth prospects of the Artificial Intelligence for Drug Discovery. ARC’s analysts have conducted in-depth primary and secondary research to obtain crucial insights into the Artificial Intelligence for Drug Discovery. To carry out secondary research, the analysts have collected the information through company annual reports, journals, company press releases, and paid databases that were referred to gain and identify better opportunities in the global market.

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The use of Artificial Intelligence for Drug Discovery in Metabolic Disease segment registered the highest market share.

Atomwise, Inc., Insilico Medicine, BIOAGE, Numerate, NuMedii, Inc., Envisagenics, Cloud Pharmaceuticals, Inc., BenevolentAI, twoXAR and Other are some of the key players operating in the Artificial Intelligence for Drug Discovery market

 

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