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Artificial Intelligence in Drug Discovery Market

Artificial Intelligence in Drug Discovery Market

Artificial Intelligence in Drug Discovery Market - Global Industry Assessment & Forecast

Number Of Pages # Pages:

175

Base Year:

2022

Date

Feb - 2022

Format:

PDF XLS PPT

Report Code:

VMR-1239

Segments Covered
  • By Application By Application Drug Optimization and Repurposing, Preclinical Testing, Others
  • By Therapeutic Look By Therapeutic Look Oncology, Neurodegenerative Diseases, Cardiovascular Disease, Metabolic Diseases, Infectious Disease, Others
  • By Region By Region North America, Latin America, Europe, Asia Pacific, Middle East & Africa
Snapshot
Base YearBase Year: 2022
Forecast YearsForecast Years: 2023 - 2030
Historical YearsHistorical Years: 2017 - 2021
Revenue 2022Revenue 2022: USD 885.32 Million
Revenue 2030Revenue 2030: USD 13988.71 Million
Revenue CAGRRevenue CAGR (2023 - 2030): 41.20%
Fastest Growing Region Fastest Growing Region (2023 - 2030) Asia Pacific
Largest Region Largest Region (2022): North America
Customization Offered
  • Cross-segment Market Size and Analysis for Mentioned Segments Cross-segment Market Size and Analysis for Mentioned Segments
  • Additional Company Profiles (Upto 5 With No Cost) Additional Company Profiles (Upto 5 With No Cost)
  • Additional Countries (Apart From Mentioned Countries) Additional Countries (Apart From Mentioned Countries)
  • Country/Region-specific Report Country/Region-specific Report
  • Go To Market Strategy Go To Market Strategy
  • Region Specific Market Dynamics Region Specific Market Dynamics
  • Region Level Market Share Region Level Market Share
  • Import Export Analysis Import Export Analysis
  • Production Analysis Production Analysis
  • Other Others Request Customization Speak To Analyst

Research Methodology: Artificial Intelligence in Drug Discovery Market by Application by Therapeutic Look by Region - Global Market Assessment, 2021 - 2028

Secondary Research

Primary Research:

The later stage covers data validation and collection from primary research. The information gained/procured from the secondary data sources is validated through extensive primary interviews with industry experts across the Artificial Intelligence in Drug Discovery supply chain. The primary research is also conducted to identify key players in the market and to gather and validate already procured information pertaining to their market-specific financial information. Moreover, primary research is used to gain/validate information about:


  • Artificial Intelligence in Drug Discovery market size at regional and country level
  • Key industry players and their market share and Artificial Intelligence in Drug Discovery market-specific sales/revenue
  • Understanding of the Artificial Intelligence in Drug Discovery supply chain and overall ecosystem

Data Triangulation and Market Size Estimations

After arriving at the global market numbers, top-down and bottom-up approaches are used to estimate, validate and finalize the market size of the Artificial Intelligence in Drug Discovery market. After the determination of the overall market size, the market is divided into various segments and sub-segments. Moreover, these same approaches mentioned above were used to derive and estimate market numbers for mentioned segments/sub-segments in the market. During the data triangulation process, the data was analyzed by employing various data models and statistical techniques to arrive at exact statistics and market size for each segment/sub-segment of the market.  The data is analyzed and triangulated by considering all the key market impacting factors from both supply and demand side of Artificial Intelligence in Drug Discovery market. 

FAQ
Frequently Asked Question
  • The global Artificial Intelligence in Drug Discovery valued at USD 885.32 Million in 2022 and is expected to reach USD 13988.71 Million in 2030 growing at a CAGR of 41.20%.

  • The prominent players in the market are IBM Corporation (US), Microsoft (US), and Google (US), NVIDIA Corporation (US), Atomwise, Inc. (US), Deep Genomics (Canada), Cloud Pharmaceuticals (US), Insilico Medicine (US), BenevolentAI (UK), Exscientia (UK), Cyclica (Canada), BIOAGE (US), Numerate (US), NuMedii (US), Envisagenics (US), twoXAR (US), OWKIN, Inc. (US), XtalPi (US), Verge Genomics (US), and BERG LLC (US).

  • The market is project to grow at a CAGR of 41.20% between 2023 and 2030.

  • The driving factors of the Artificial Intelligence in Drug Discovery include

    • Increasing Demand for Artificial Intelligence in Drug Discovery

  • North America was the leading regional segment of the Artificial Intelligence in Drug Discovery in 2022.