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Global AI for Pharma and Biotech Market Research Report 2024
Synopsis
Artificial intelligence used in Pharma and Biotech.
The global AI for Pharma and Biotech market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
The global pharmaceutical market is 1475 billion US$ 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 US$ 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 AI for Pharma and Biotech, 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 AI for Pharma and Biotech.
Report Scope
The AI for Pharma and Biotech 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 AI for Pharma and Biotech 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 AI for Pharma and Biotech 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
CureMetrix
Enlitic
VoxelCloud
Insilico Medicine
Oncora Medical
Atomwise
TwoXAR
Berg Health
CloudMedX
Deep Genomics
Johnson & Johnson
Roche
Pfizer
Novartis
Bayer
Segment by Type
Deep Learning
Big Data
Image Detection
Others
Segment by Application
Hospital
Clinic
Research Center
Others
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 AI for Pharma and Biotech 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.
Artificial intelligence used in Pharma and Biotech.
The global AI for Pharma and Biotech market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
The global pharmaceutical market is 1475 billion US$ 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 US$ 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 AI for Pharma and Biotech, 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 AI for Pharma and Biotech.
Report Scope
The AI for Pharma and Biotech 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 AI for Pharma and Biotech 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 AI for Pharma and Biotech 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
CureMetrix
Enlitic
VoxelCloud
Insilico Medicine
Oncora Medical
Atomwise
TwoXAR
Berg Health
CloudMedX
Deep Genomics
Johnson & Johnson
Roche
Pfizer
Novartis
Bayer
Segment by Type
Deep Learning
Big Data
Image Detection
Others
Segment by Application
Hospital
Clinic
Research Center
Others
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 AI for Pharma and Biotech 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI for Pharma and Biotech Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Deep Learning
1.2.3 Big Data
1.2.4 Image Detection
1.2.5 Others
1.3 Market by Application
1.3.1 Global AI for Pharma and Biotech Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Hospital
1.3.3 Clinic
1.3.4 Research Center
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI for Pharma and Biotech Market Perspective (2019-2030)
2.2 AI for Pharma and Biotech Growth Trends by Region
2.2.1 Global AI for Pharma and Biotech Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI for Pharma and Biotech Historic Market Size by Region (2019-2024)
2.2.3 AI for Pharma and Biotech Forecasted Market Size by Region (2025-2030)
2.3 AI for Pharma and Biotech Market Dynamics
2.3.1 AI for Pharma and Biotech Industry Trends
2.3.2 AI for Pharma and Biotech Market Drivers
2.3.3 AI for Pharma and Biotech Market Challenges
2.3.4 AI for Pharma and Biotech Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI for Pharma and Biotech Players by Revenue
3.1.1 Global Top AI for Pharma and Biotech Players by Revenue (2019-2024)
3.1.2 Global AI for Pharma and Biotech Revenue Market Share by Players (2019-2024)
3.2 Global AI for Pharma and Biotech Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI for Pharma and Biotech Revenue
3.4 Global AI for Pharma and Biotech Market Concentration Ratio
3.4.1 Global AI for Pharma and Biotech Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI for Pharma and Biotech Revenue in 2023
3.5 AI for Pharma and Biotech Key Players Head office and Area Served
3.6 Key Players AI for Pharma and Biotech Product Solution and Service
3.7 Date of Enter into AI for Pharma and Biotech Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI for Pharma and Biotech Breakdown Data by Type
4.1 Global AI for Pharma and Biotech Historic Market Size by Type (2019-2024)
4.2 Global AI for Pharma and Biotech Forecasted Market Size by Type (2025-2030)
5 AI for Pharma and Biotech Breakdown Data by Application
5.1 Global AI for Pharma and Biotech Historic Market Size by Application (2019-2024)
5.2 Global AI for Pharma and Biotech Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI for Pharma and Biotech Market Size (2019-2030)
6.2 North America AI for Pharma and Biotech Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI for Pharma and Biotech Market Size by Country (2019-2024)
6.4 North America AI for Pharma and Biotech Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI for Pharma and Biotech Market Size (2019-2030)
7.2 Europe AI for Pharma and Biotech Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI for Pharma and Biotech Market Size by Country (2019-2024)
7.4 Europe AI for Pharma and Biotech 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 AI for Pharma and Biotech Market Size (2019-2030)
8.2 Asia-Pacific AI for Pharma and Biotech Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI for Pharma and Biotech Market Size by Region (2019-2024)
8.4 Asia-Pacific AI for Pharma and Biotech 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 AI for Pharma and Biotech Market Size (2019-2030)
9.2 Latin America AI for Pharma and Biotech Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI for Pharma and Biotech Market Size by Country (2019-2024)
9.4 Latin America AI for Pharma and Biotech Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI for Pharma and Biotech Market Size (2019-2030)
10.2 Middle East & Africa AI for Pharma and Biotech Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI for Pharma and Biotech Market Size by Country (2019-2024)
10.4 Middle East & Africa AI for Pharma and Biotech Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 CureMetrix
11.1.1 CureMetrix Company Detail
11.1.2 CureMetrix Business Overview
11.1.3 CureMetrix AI for Pharma and Biotech Introduction
11.1.4 CureMetrix Revenue in AI for Pharma and Biotech Business (2019-2024)
11.1.5 CureMetrix Recent Development
11.2 Enlitic
11.2.1 Enlitic Company Detail
11.2.2 Enlitic Business Overview
11.2.3 Enlitic AI for Pharma and Biotech Introduction
11.2.4 Enlitic Revenue in AI for Pharma and Biotech Business (2019-2024)
11.2.5 Enlitic Recent Development
11.3 VoxelCloud
11.3.1 VoxelCloud Company Detail
11.3.2 VoxelCloud Business Overview
11.3.3 VoxelCloud AI for Pharma and Biotech Introduction
11.3.4 VoxelCloud Revenue in AI for Pharma and Biotech Business (2019-2024)
11.3.5 VoxelCloud Recent Development
11.4 Insilico Medicine
11.4.1 Insilico Medicine Company Detail
11.4.2 Insilico Medicine Business Overview
11.4.3 Insilico Medicine AI for Pharma and Biotech Introduction
11.4.4 Insilico Medicine Revenue in AI for Pharma and Biotech Business (2019-2024)
11.4.5 Insilico Medicine Recent Development
11.5 Oncora Medical
11.5.1 Oncora Medical Company Detail
11.5.2 Oncora Medical Business Overview
11.5.3 Oncora Medical AI for Pharma and Biotech Introduction
11.5.4 Oncora Medical Revenue in AI for Pharma and Biotech Business (2019-2024)
11.5.5 Oncora Medical Recent Development
11.6 Atomwise
11.6.1 Atomwise Company Detail
11.6.2 Atomwise Business Overview
11.6.3 Atomwise AI for Pharma and Biotech Introduction
11.6.4 Atomwise Revenue in AI for Pharma and Biotech Business (2019-2024)
11.6.5 Atomwise Recent Development
11.7 TwoXAR
11.7.1 TwoXAR Company Detail
11.7.2 TwoXAR Business Overview
11.7.3 TwoXAR AI for Pharma and Biotech Introduction
11.7.4 TwoXAR Revenue in AI for Pharma and Biotech Business (2019-2024)
11.7.5 TwoXAR Recent Development
11.8 Berg Health
11.8.1 Berg Health Company Detail
11.8.2 Berg Health Business Overview
11.8.3 Berg Health AI for Pharma and Biotech Introduction
11.8.4 Berg Health Revenue in AI for Pharma and Biotech Business (2019-2024)
11.8.5 Berg Health Recent Development
11.9 CloudMedX
11.9.1 CloudMedX Company Detail
11.9.2 CloudMedX Business Overview
11.9.3 CloudMedX AI for Pharma and Biotech Introduction
11.9.4 CloudMedX Revenue in AI for Pharma and Biotech Business (2019-2024)
11.9.5 CloudMedX Recent Development
11.10 Deep Genomics
11.10.1 Deep Genomics Company Detail
11.10.2 Deep Genomics Business Overview
11.10.3 Deep Genomics AI for Pharma and Biotech Introduction
11.10.4 Deep Genomics Revenue in AI for Pharma and Biotech Business (2019-2024)
11.10.5 Deep Genomics Recent Development
11.11 Johnson & Johnson
11.11.1 Johnson & Johnson Company Detail
11.11.2 Johnson & Johnson Business Overview
11.11.3 Johnson & Johnson AI for Pharma and Biotech Introduction
11.11.4 Johnson & Johnson Revenue in AI for Pharma and Biotech Business (2019-2024)
11.11.5 Johnson & Johnson Recent Development
11.12 Roche
11.12.1 Roche Company Detail
11.12.2 Roche Business Overview
11.12.3 Roche AI for Pharma and Biotech Introduction
11.12.4 Roche Revenue in AI for Pharma and Biotech Business (2019-2024)
11.12.5 Roche Recent Development
11.13 Pfizer
11.13.1 Pfizer Company Detail
11.13.2 Pfizer Business Overview
11.13.3 Pfizer AI for Pharma and Biotech Introduction
11.13.4 Pfizer Revenue in AI for Pharma and Biotech Business (2019-2024)
11.13.5 Pfizer Recent Development
11.14 Novartis
11.14.1 Novartis Company Detail
11.14.2 Novartis Business Overview
11.14.3 Novartis AI for Pharma and Biotech Introduction
11.14.4 Novartis Revenue in AI for Pharma and Biotech Business (2019-2024)
11.14.5 Novartis Recent Development
11.15 Bayer
11.15.1 Bayer Company Detail
11.15.2 Bayer Business Overview
11.15.3 Bayer AI for Pharma and Biotech Introduction
11.15.4 Bayer Revenue in AI for Pharma and Biotech Business (2019-2024)
11.15.5 Bayer 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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