Artificial Intelligence (AI) In Drug Discovery Global Market Opportunities And Strategies To 2032Including: 1) By Technology: Context-Aware Processing; Natural Language Processing; Querying Method; Deep Learning2) By Drug Type: Small Molecules; Large Molecules3) By Therapeutic Type: Metabolic Disease; Cardiovascular Disease; Oncology; Neurodegenerative Diseases; Anti-Infective Diseases; Respiratory Diseases4) By End User: Pharmaceutical Companies; Biopharmaceutical Companies; Academic And Research InstitutesCovering: IBM Corporation; Microsoft Corporation; NVIDIA Corporation; Exscientia; Alphabet; Atomwise Inc.
Artificial Intelligence (AI) In Drug Discovery Global Market Opportunities And Strategies To 2032 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global artificial intelligence (AI) in drug discovery market as it emerges from the COVID-19 shut down.
Reasons to Purchase
- Gain a truly global perspective with the most comprehensive report available on this market covering 12 geographies.
- Understand how the market is being affected by the coronavirus and how it is likely to emerge and grow as the impact of the virus abates.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market research findings.
- Benchmark performance against key competitors.
- Utilize the relationships between key data sets for superior strategizing.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
Description:
Where is the largest and fastest growing market for artificial intelligence (AI) in drug discovery? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The artificial intelligence (AI) in drug discovery market global report from The Business Research Company answers all these questions and many more.
The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market’s historic and forecast market growth by geography. It places the market within the context of the wider artificial intelligence (AI) in drug discovery market; and compares it with other markets.
The report covers the following chapters:
- Introduction and Market Characteristics
Brief introduction to the segmentations covered in the market, definitions and explanations about the artificial intelligence (AI) in drug discovery market.
Highlights the major trends shaping the global artificial intelligence (AI) in drug discovery market. This section also highlights likely future developments in the market.
- Global Market Size and Growth
Global historic (2017-2022) and forecast (2022-2027), and (2027-2032) market values, and drivers and restraints that support and control the growth of the market in the historic and forecast periods.
Historic (2017-2022) and forecast (2022-2027), and (2027-2032) market values and growth and market share comparison by region.
Contains the market values (2017-2032) and analysis for segment by technology, by drug type, by therapeutic type and by end-user in the market.
- Regional Market Size and Growth
Regional market size (2022), historic (2017-2022) and forecast (2022-2027), and (2027-2032) market values, and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Key Mergers and Acquisitions
Information on recent mergers and acquisitions in the market covered in the report. This section gives key financial details of mergers and acquisitions, which have shaped the market in recent years.
- Market Opportunities And Strategies
Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions And Recommendations
This section includes recommendations for artificial intelligence (AI) in drug discovery providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Scope:
Markets Covered:
1) By Technology: Context-Aware Processing; Natural Language Processing; Querying Method; Deep Learning
2) By Drug Type: Small Molecules; Large Molecules
3) By Therapeutic Type: Metabolic Disease; Cardiovascular Disease; Oncology; Neurodegenerative Diseases; Anti-Infective Diseases; Respiratory Diseases; Other Therapeutics
4) By End User: Pharmaceutical Companies; Biopharmaceutical Companies; Academic And Research Institutes; Other End-Users
Companies Mentioned: IBM Corporation; Microsoft Corporation; NVIDIA Corporation; Exscientia; Alphabet; Atomwise Inc.
Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Brazil; France; Germany; UK; Russia.
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa.
Time series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; artificial intelligence (AI) in drug discovery indicators comparison.
Data segmentations: country and regional historic and forecast data; market share of competitors; market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.