Artificial Intelligence (AI) In Drug Discovery Global Market Opportunities And Strategies To 2031: COVID-19 Growth And Change

Artificial Intelligence (AI) In Drug Discovery Global Market Opportunities And Strategies To 2031: COVID-19 Growth And Change

Artificial Intelligence (AI) In Drug Discovery Global Market Opportunities And Strategies To 2031: COVID-19 Growth And Change 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.

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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

Executive Summary – The executive summary section of the report gives a brief overview and summary of the report.

Report Structure – This section gives the structure of the report and the information covered in the various sections.

Introduction – The introduction section of the report gives a brief introduction about segmentation by geography, segmentation by technology, segmentation by drug type, segmentation by therapeutic type, and segmentation by end-users.

Market Characteristics – The market characteristics section of the report defines and explains the artificial intelligence (AI) in drug discovery market. This chapter also defines and describes goods and related services covered in the report.

Trends And Strategies – This chapter describes the major trends shaping the global artificial intelligence (AI) in drug discovery market. This section highlights likely future developments in the market and suggests approaches companies can take to exploit these opportunities.

Impact of COVID-19 – This section describes the impact of COVID-19 on the artificial intelligence (AI) in drug discovery market.

Global Market Size And Growth – This section contains the global historic (2016-2021) and forecast (2021-2026), and (2026-2031) market values, and drivers and restraints that support and control the growth of the market in the historic and forecast periods.

Regional Analysis – This section contains the historic (2016-2021) and forecast (2021-2026), and (2026-2031) market values and growth and market share comparison by region.

Segmentation – This section contains the market values (2016-2031) and analysis for different segments.

Regional Market Size and Growth – This section contains the region’s market size (2021), historic (2016-2021) and forecast (2021-2026), and (2026-2031) 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, Africa, and major countries within each region. The market overview sections of the report describe the current size of the market, background information, government initiatives, regulations, regulatory bodies, associations, corporate tax structure, investments, and major companies.

Competitive Landscape – This section covers details on the competitive landscape of the global artificial intelligence (AI) in drug discovery market, estimated market shares, and company profiles for the leading players.

Key Mergers And Acquisitions – This chapter gives 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 – This section includes market opportunities and strategies based on findings of the research. This section also gives information on growth opportunities across countries, segments and strategies to be followed in those markets. It gives an understanding of where there is significant business to be gained by competitors in the next five years.

Conclusions And Recommendations – This section includes conclusions and recommendations based on findings of the research. This section also gives recommendations for artificial intelligence (AI) in drug discovery market in terms of product/service offerings, geographic expansion, marketing strategies and target groups.

Appendix – This section includes details on the NAICS (North American Industry Classification System) 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 Molecule; Large Molecules

3) By Therapeutic Type: Metabolic Disease; Cardiovascular Disease; Oncology; Neurodegenerative Diseases; Respiratory Diseases; Anti-Infective Diseases; Other Therapeutic Areas

4) By End-Users: Pharmaceutical Companies; Biopharmaceutical Companies; Academic And Research Institutes; Others

Companies Mentioned: IBM Corporation; Benevolent AI; Nvidia Corporation; Exscientia ; Concreto HealthAI

Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA

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.