Artificial Intelligence (AI) In Drug Discovery Global Market Report 2025

Artificial Intelligence (AI) In Drug Discovery Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence (ai) in drug discovery market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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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.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:
• The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

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

Subsegments:

1) By Context-Aware Processing: Contextual Data Integration; Predictive Modeling; Adaptive Learning Systems

2) By Natural Language Processing (NLP): Text Mining And Analysis; Sentiment Analysis; Drug Interaction Extraction; Clinical Trial Data Analysis

3) By Querying Method: Semantic Search; Knowledge Graphs; Structured Query Language (SQL) Based Queries

4) By Deep Learning: Neural Networks; Convolutional Neural Networks (CNNs); Recurrent Neural Networks (RNNs); Reinforcement Learning Applications

Companies Mentioned: IBM Corporation; Microsoft Corporation; NVIDIA Corporation; Exscientia; Alphabet

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

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,

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.

Delivery format: PDF, Word and Excel Data Dashboard.