Global Deep Learning in Drug Discovery and Diagnostics Market Report, History and Forecast 2018-2034, Breakdown Data by Companies, Key Regions, Types and Application
Published on: 2024-01-04 | No of Pages : 400 | Industry : Medical
Publisher : MRA | Format : PDF
Global Deep Learning in Drug Discovery and Diagnostics Market Report, History and Forecast 2018-2034, Breakdown Data by Companies, Key Regions, Types and Application
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.
Deep Learning in Drug Discovery and Diagnostics report published by MRAResearch reveals that COVID-19 and Russia-Ukraine War impacted the market dually in 2022. Global Deep Learning in Drug Discovery and Diagnostics market is projected to reach US$ 44070 million in 2033, increasing from US$ 5467 million in 2022, with the CAGR of 31.5% during the period of 2023 to 2033. Demand from Pharmaceutical Companies and Biotechnology Companies are the major drivers for the industry.
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.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global Deep Learning in Drug Discovery and Diagnostics market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
Companies, Type, Application and Regions Listed in the Report
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
Pharmaceutical Companies
Biotechnology Companies
Contract Research Organizations
Healthcare IT
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE
Each chapter of the report provides detailed information for readers to understand the Deep Learning in Drug Discovery and Diagnostics market further
Chapter 1Global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2033).
Chapter 2Product Types and Revenue analysis of Each Type in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 3Product Application and Revenue analysis of Each Application in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 4Company Competition Status, Detailed analysis of Product Name companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5Companies’ Outline, covering company’s basic information, Deep Learning in Drug Discovery and Diagnostics introduction, etc. Deep Learning in Drug Discovery and Diagnostics Revenue and Gross Margin of each company as well as Recent Development are also contained in this part.
Chapter 6 to 10Country Level analysis of North America, Europe, Asia-Pacific, Latin America, Middle East and Africa by revenue.
Chapter 11Market 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.
Chapter 12MRAResearch’s Conclusions of Deep Learning in Drug Discovery and Diagnostics market based on comprehensive survey.
Chapter 13Methodology and Data Sources adopted by MRAResearch.
Deep Learning in Drug Discovery and Diagnostics report published by MRAResearch reveals that COVID-19 and Russia-Ukraine War impacted the market dually in 2022. Global Deep Learning in Drug Discovery and Diagnostics market is projected to reach US$ 44070 million in 2033, increasing from US$ 5467 million in 2022, with the CAGR of 31.5% during the period of 2023 to 2033. Demand from Pharmaceutical Companies and Biotechnology Companies are the major drivers for the industry.
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.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global Deep Learning in Drug Discovery and Diagnostics market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
Companies, Type, Application and Regions Listed in the Report
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
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE
Each chapter of the report provides detailed information for readers to understand the Deep Learning in Drug Discovery and Diagnostics market further
Chapter 1Global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2033).
Chapter 2Product Types and Revenue analysis of Each Type in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 3Product Application and Revenue analysis of Each Application in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 4Company Competition Status, Detailed analysis of Product Name companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5Companies’ Outline, covering company’s basic information, Deep Learning in Drug Discovery and Diagnostics introduction, etc. Deep Learning in Drug Discovery and Diagnostics Revenue and Gross Margin of each company as well as Recent Development are also contained in this part.
Chapter 6 to 10Country Level analysis of North America, Europe, Asia-Pacific, Latin America, Middle East and Africa by revenue.
Chapter 11Market 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.
Chapter 12MRAResearch’s Conclusions of Deep Learning in Drug Discovery and Diagnostics market based on comprehensive survey.
Chapter 13Methodology and Data Sources adopted by MRAResearch.