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Global Deep Learning in Drug Discovery and Diagnostics Market Research Report 2025

Global Deep Learning in Drug Discovery and Diagnostics Market Research Report 2025

Publishing Date : Mar, 2025

License Type :
 

Report Code : 1720350

No of Pages : 83

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Synopsis
Deep learning is machine learning that analyzes large volumes of labeled and unlabeled data along with multi-dimensional and complex data with non-trivial patterns.
The global Deep Learning in Drug Discovery and Diagnostics market was valued at US$ 5467 million in 2023 and is anticipated to reach US$ 44070 million by 2030, witnessing a CAGR of 31.5% during the forecast period 2024-2030.
The global pharmaceutical market is 1475 billion USD in 2022, growing at a CAGR of 5% during the next six years. The pharmaceutical market includes chemical drugs and biological drugs. For biologics is expected to 381 billion USD in 2022. In comparison, the chemical drug market is estimated to increase from 1005 billion in 2018 to 1094 billion U.S. dollars in 2022. The pharmaceutical market factors such as increasing demand for healthcare, technological advancements, and the rising prevalence of chronic diseases, increase in funding from private & government organizations for development of pharmaceutical manufacturing segments and rise in R&D activities for drugs. However, the industry also faces challenges such as stringent regulations, high costs of research and development, and patent expirations. Companies need to continuously innovate and adapt to these challenges to stay competitive in the market and ensure their products reach patients in need. Additionally, the COVID-19 pandemic has highlighted the importance of vaccine development and supply chain management, further emphasizing the need for pharmaceutical companies to be agile and responsive to emerging public health needs.
This report aims to provide a comprehensive presentation of the global market for Deep Learning in Drug Discovery and Diagnostics, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Deep Learning in Drug Discovery and Diagnostics.
Report Scope
The Deep Learning in Drug Discovery and Diagnostics market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Deep Learning in Drug Discovery and Diagnostics market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Deep Learning in Drug Discovery and Diagnostics companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Google Inc.
IBM Corp.
Microsoft Corporation
Qualcomm Technologies
General Vision
Insilico Medicine
NVIDIA Corporation
Zebra Medical Vision
Enlitic
Ginger.io
MedAware
Lumiata
Segment by Type
Drug Discovery
Diagnostics
Forensic Interventions
Others
Segment by Application
Pharmaceutical Companies
Biotechnology Companies
Contract Research Organizations
Healthcare IT
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Deep Learning in Drug Discovery and Diagnostics companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Deep Learning in Drug Discovery and Diagnostics Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Drug Discovery
1.2.3 Diagnostics
1.2.4 Forensic Interventions
1.2.5 Others
1.3 Market by Application
1.3.1 Global Deep Learning in Drug Discovery and Diagnostics Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Pharmaceutical Companies
1.3.3 Biotechnology Companies
1.3.4 Contract Research Organizations
1.3.5 Healthcare IT
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Deep Learning in Drug Discovery and Diagnostics Market Perspective (2019-2030)
2.2 Deep Learning in Drug Discovery and Diagnostics Growth Trends by Region
2.2.1 Global Deep Learning in Drug Discovery and Diagnostics Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Deep Learning in Drug Discovery and Diagnostics Historic Market Size by Region (2019-2024)
2.2.3 Deep Learning in Drug Discovery and Diagnostics Forecasted Market Size by Region (2025-2030)
2.3 Deep Learning in Drug Discovery and Diagnostics Market Dynamics
2.3.1 Deep Learning in Drug Discovery and Diagnostics Industry Trends
2.3.2 Deep Learning in Drug Discovery and Diagnostics Market Drivers
2.3.3 Deep Learning in Drug Discovery and Diagnostics Market Challenges
2.3.4 Deep Learning in Drug Discovery and Diagnostics Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Deep Learning in Drug Discovery and Diagnostics Players by Revenue
3.1.1 Global Top Deep Learning in Drug Discovery and Diagnostics Players by Revenue (2019-2024)
3.1.2 Global Deep Learning in Drug Discovery and Diagnostics Revenue Market Share by Players (2019-2024)
3.2 Global Deep Learning in Drug Discovery and Diagnostics Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Deep Learning in Drug Discovery and Diagnostics Revenue
3.4 Global Deep Learning in Drug Discovery and Diagnostics Market Concentration Ratio
3.4.1 Global Deep Learning in Drug Discovery and Diagnostics Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Deep Learning in Drug Discovery and Diagnostics Revenue in 2023
3.5 Deep Learning in Drug Discovery and Diagnostics Key Players Head office and Area Served
3.6 Key Players Deep Learning in Drug Discovery and Diagnostics Product Solution and Service
3.7 Date of Enter into Deep Learning in Drug Discovery and Diagnostics Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Deep Learning in Drug Discovery and Diagnostics Breakdown Data by Type
4.1 Global Deep Learning in Drug Discovery and Diagnostics Historic Market Size by Type (2019-2024)
4.2 Global Deep Learning in Drug Discovery and Diagnostics Forecasted Market Size by Type (2025-2030)
5 Deep Learning in Drug Discovery and Diagnostics Breakdown Data by Application
5.1 Global Deep Learning in Drug Discovery and Diagnostics Historic Market Size by Application (2019-2024)
5.2 Global Deep Learning in Drug Discovery and Diagnostics Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Deep Learning in Drug Discovery and Diagnostics Market Size (2019-2030)
6.2 North America Deep Learning in Drug Discovery and Diagnostics Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Deep Learning in Drug Discovery and Diagnostics Market Size by Country (2019-2024)
6.4 North America Deep Learning in Drug Discovery and Diagnostics Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Deep Learning in Drug Discovery and Diagnostics Market Size (2019-2030)
7.2 Europe Deep Learning in Drug Discovery and Diagnostics Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Deep Learning in Drug Discovery and Diagnostics Market Size by Country (2019-2024)
7.4 Europe Deep Learning in Drug Discovery and Diagnostics Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Deep Learning in Drug Discovery and Diagnostics Market Size (2019-2030)
8.2 Asia-Pacific Deep Learning in Drug Discovery and Diagnostics Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Deep Learning in Drug Discovery and Diagnostics Market Size by Region (2019-2024)
8.4 Asia-Pacific Deep Learning in Drug Discovery and Diagnostics Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Deep Learning in Drug Discovery and Diagnostics Market Size (2019-2030)
9.2 Latin America Deep Learning in Drug Discovery and Diagnostics Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Deep Learning in Drug Discovery and Diagnostics Market Size by Country (2019-2024)
9.4 Latin America Deep Learning in Drug Discovery and Diagnostics Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Deep Learning in Drug Discovery and Diagnostics Market Size (2019-2030)
10.2 Middle East & Africa Deep Learning in Drug Discovery and Diagnostics Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Deep Learning in Drug Discovery and Diagnostics Market Size by Country (2019-2024)
10.4 Middle East & Africa Deep Learning in Drug Discovery and Diagnostics Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google Inc.
11.1.1 Google Inc. Company Detail
11.1.2 Google Inc. Business Overview
11.1.3 Google Inc. Deep Learning in Drug Discovery and Diagnostics Introduction
11.1.4 Google Inc. Revenue in Deep Learning in Drug Discovery and Diagnostics Business (2019-2024)
11.1.5 Google Inc. Recent Development
11.2 IBM Corp.
11.2.1 IBM Corp. Company Detail
11.2.2 IBM Corp. Business Overview
11.2.3 IBM Corp. Deep Learning in Drug Discovery and Diagnostics Introduction
11.2.4 IBM Corp. Revenue in Deep Learning in Drug Discovery and Diagnostics Business (2019-2024)
11.2.5 IBM Corp. Recent Development
11.3 Microsoft Corporation
11.3.1 Microsoft Corporation Company Detail
11.3.2 Microsoft Corporation Business Overview
11.3.3 Microsoft Corporation Deep Learning in Drug Discovery and Diagnostics Introduction
11.3.4 Microsoft Corporation Revenue in Deep Learning in Drug Discovery and Diagnostics Business (2019-2024)
11.3.5 Microsoft Corporation Recent Development
11.4 Qualcomm Technologies
11.4.1 Qualcomm Technologies Company Detail
11.4.2 Qualcomm Technologies Business Overview
11.4.3 Qualcomm Technologies Deep Learning in Drug Discovery and Diagnostics Introduction
11.4.4 Qualcomm Technologies Revenue in Deep Learning in Drug Discovery and Diagnostics Business (2019-2024)
11.4.5 Qualcomm Technologies Recent Development
11.5 General Vision
11.5.1 General Vision Company Detail
11.5.2 General Vision Business Overview
11.5.3 General Vision Deep Learning in Drug Discovery and Diagnostics Introduction
11.5.4 General Vision Revenue in Deep Learning in Drug Discovery and Diagnostics Business (2019-2024)
11.5.5 General Vision Recent Development
11.6 Insilico Medicine
11.6.1 Insilico Medicine Company Detail
11.6.2 Insilico Medicine Business Overview
11.6.3 Insilico Medicine Deep Learning in Drug Discovery and Diagnostics Introduction
11.6.4 Insilico Medicine Revenue in Deep Learning in Drug Discovery and Diagnostics Business (2019-2024)
11.6.5 Insilico Medicine Recent Development
11.7 NVIDIA Corporation
11.7.1 NVIDIA Corporation Company Detail
11.7.2 NVIDIA Corporation Business Overview
11.7.3 NVIDIA Corporation Deep Learning in Drug Discovery and Diagnostics Introduction
11.7.4 NVIDIA Corporation Revenue in Deep Learning in Drug Discovery and Diagnostics Business (2019-2024)
11.7.5 NVIDIA Corporation Recent Development
11.8 Zebra Medical Vision
11.8.1 Zebra Medical Vision Company Detail
11.8.2 Zebra Medical Vision Business Overview
11.8.3 Zebra Medical Vision Deep Learning in Drug Discovery and Diagnostics Introduction
11.8.4 Zebra Medical Vision Revenue in Deep Learning in Drug Discovery and Diagnostics Business (2019-2024)
11.8.5 Zebra Medical Vision Recent Development
11.9 Enlitic
11.9.1 Enlitic Company Detail
11.9.2 Enlitic Business Overview
11.9.3 Enlitic Deep Learning in Drug Discovery and Diagnostics Introduction
11.9.4 Enlitic Revenue in Deep Learning in Drug Discovery and Diagnostics Business (2019-2024)
11.9.5 Enlitic Recent Development
11.10 Ginger.io
11.10.1 Ginger.io Company Detail
11.10.2 Ginger.io Business Overview
11.10.3 Ginger.io Deep Learning in Drug Discovery and Diagnostics Introduction
11.10.4 Ginger.io Revenue in Deep Learning in Drug Discovery and Diagnostics Business (2019-2024)
11.10.5 Ginger.io Recent Development
11.11 MedAware
11.11.1 MedAware Company Detail
11.11.2 MedAware Business Overview
11.11.3 MedAware Deep Learning in Drug Discovery and Diagnostics Introduction
11.11.4 MedAware Revenue in Deep Learning in Drug Discovery and Diagnostics Business (2019-2024)
11.11.5 MedAware Recent Development
11.12 Lumiata
11.12.1 Lumiata Company Detail
11.12.2 Lumiata Business Overview
11.12.3 Lumiata Deep Learning in Drug Discovery and Diagnostics Introduction
11.12.4 Lumiata Revenue in Deep Learning in Drug Discovery and Diagnostics Business (2019-2024)
11.12.5 Lumiata Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Published By : QY Research

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