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Global AI Technology in Pharmaceutical Market Research Report 2024
Synopsis
AI (Artificial Intelligence) technology is making a significant impact on the pharmaceutical industry, transforming various aspects of drug discovery, development, manufacturing, and clinical research. AI's ability to process large volumes of data, analyze complex patterns, and make predictions has revolutionized the traditional pharmaceutical approaches, leading to more efficient processes and enhanced decision-making.
Global AI Technology in Pharmaceutical market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole AI Technology in Pharmaceutical market research.
The global market for AI technology in the pharmaceutical industry was experiencing significant growth, driven by the increasing adoption of AI-powered solutions by pharmaceutical companies to streamline drug discovery, optimize clinical trials, and enhance decision-making processes. The convergence of AI, machine learning, big data analytics, and bioinformatics has led to the development of various AI-based applications tailored to meet the industry's unique challenges and opportunities. The adoption of AI technology in the pharmaceutical industry was widespread across regions, with North America, Europe, and Asia-Pacific being key markets. North America, led by the United States, dominated the market due to its strong pharmaceutical research and development ecosystem, substantial investment in AI research, and supportive regulatory environment. Europe also accounted for a significant market share, with countries like the United Kingdom, Germany, and France showing notable interest in AI applications in pharmaceuticals. In the Asia-Pacific region, countries like China, Japan, and India were witnessing growth in AI technology adoption for pharmaceutical research and development.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global AI Technology in Pharmaceutical market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
IBM
Google
BenevolentAI
Insilico Medicine
Atomwise
GNS Healthcare
Cloud Pharmaceuticals
Exscientia
Cyclica
Recursion
Iktos
Auransa
InveniAI
Deep Genomics
Segment by Type
Drug Discovery
Drug Production
Drug Sales
Optimisation Of Clinical Trials
Others
Segment by Application
Pharmaceutical Company
Biotechnology Company
Research Institute
Other
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
The AI Technology in Pharmaceutical report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
AI (Artificial Intelligence) technology is making a significant impact on the pharmaceutical industry, transforming various aspects of drug discovery, development, manufacturing, and clinical research. AI's ability to process large volumes of data, analyze complex patterns, and make predictions has revolutionized the traditional pharmaceutical approaches, leading to more efficient processes and enhanced decision-making.
Global AI Technology in Pharmaceutical market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole AI Technology in Pharmaceutical market research.
The global market for AI technology in the pharmaceutical industry was experiencing significant growth, driven by the increasing adoption of AI-powered solutions by pharmaceutical companies to streamline drug discovery, optimize clinical trials, and enhance decision-making processes. The convergence of AI, machine learning, big data analytics, and bioinformatics has led to the development of various AI-based applications tailored to meet the industry's unique challenges and opportunities. The adoption of AI technology in the pharmaceutical industry was widespread across regions, with North America, Europe, and Asia-Pacific being key markets. North America, led by the United States, dominated the market due to its strong pharmaceutical research and development ecosystem, substantial investment in AI research, and supportive regulatory environment. Europe also accounted for a significant market share, with countries like the United Kingdom, Germany, and France showing notable interest in AI applications in pharmaceuticals. In the Asia-Pacific region, countries like China, Japan, and India were witnessing growth in AI technology adoption for pharmaceutical research and development.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global AI Technology in Pharmaceutical market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
IBM
BenevolentAI
Insilico Medicine
Atomwise
GNS Healthcare
Cloud Pharmaceuticals
Exscientia
Cyclica
Recursion
Iktos
Auransa
InveniAI
Deep Genomics
Segment by Type
Drug Discovery
Drug Production
Drug Sales
Optimisation Of Clinical Trials
Others
Segment by Application
Pharmaceutical Company
Biotechnology Company
Research Institute
Other
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
The AI Technology in Pharmaceutical report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Technology in Pharmaceutical Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Drug Discovery
1.2.3 Drug Production
1.2.4 Drug Sales
1.2.5 Optimisation Of Clinical Trials
1.2.6 Others
1.3 Market by Application
1.3.1 Global AI Technology in Pharmaceutical Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Pharmaceutical Company
1.3.3 Biotechnology Company
1.3.4 Research Institute
1.3.5 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Technology in Pharmaceutical Market Perspective (2018-2029)
2.2 AI Technology in Pharmaceutical Growth Trends by Region
2.2.1 Global AI Technology in Pharmaceutical Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 AI Technology in Pharmaceutical Historic Market Size by Region (2018-2023)
2.2.3 AI Technology in Pharmaceutical Forecasted Market Size by Region (2024-2029)
2.3 AI Technology in Pharmaceutical Market Dynamics
2.3.1 AI Technology in Pharmaceutical Industry Trends
2.3.2 AI Technology in Pharmaceutical Market Drivers
2.3.3 AI Technology in Pharmaceutical Market Challenges
2.3.4 AI Technology in Pharmaceutical Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Technology in Pharmaceutical Players by Revenue
3.1.1 Global Top AI Technology in Pharmaceutical Players by Revenue (2018-2023)
3.1.2 Global AI Technology in Pharmaceutical Revenue Market Share by Players (2018-2023)
3.2 Global AI Technology in Pharmaceutical Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI Technology in Pharmaceutical Revenue
3.4 Global AI Technology in Pharmaceutical Market Concentration Ratio
3.4.1 Global AI Technology in Pharmaceutical Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Technology in Pharmaceutical Revenue in 2022
3.5 AI Technology in Pharmaceutical Key Players Head office and Area Served
3.6 Key Players AI Technology in Pharmaceutical Product Solution and Service
3.7 Date of Enter into AI Technology in Pharmaceutical Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Technology in Pharmaceutical Breakdown Data by Type
4.1 Global AI Technology in Pharmaceutical Historic Market Size by Type (2018-2023)
4.2 Global AI Technology in Pharmaceutical Forecasted Market Size by Type (2024-2029)
5 AI Technology in Pharmaceutical Breakdown Data by Application
5.1 Global AI Technology in Pharmaceutical Historic Market Size by Application (2018-2023)
5.2 Global AI Technology in Pharmaceutical Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America AI Technology in Pharmaceutical Market Size (2018-2029)
6.2 North America AI Technology in Pharmaceutical Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America AI Technology in Pharmaceutical Market Size by Country (2018-2023)
6.4 North America AI Technology in Pharmaceutical Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Technology in Pharmaceutical Market Size (2018-2029)
7.2 Europe AI Technology in Pharmaceutical Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe AI Technology in Pharmaceutical Market Size by Country (2018-2023)
7.4 Europe AI Technology in Pharmaceutical Market Size by Country (2024-2029)
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 Technology in Pharmaceutical Market Size (2018-2029)
8.2 Asia-Pacific AI Technology in Pharmaceutical Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific AI Technology in Pharmaceutical Market Size by Region (2018-2023)
8.4 Asia-Pacific AI Technology in Pharmaceutical Market Size by Region (2024-2029)
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 Technology in Pharmaceutical Market Size (2018-2029)
9.2 Latin America AI Technology in Pharmaceutical Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America AI Technology in Pharmaceutical Market Size by Country (2018-2023)
9.4 Latin America AI Technology in Pharmaceutical Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Technology in Pharmaceutical Market Size (2018-2029)
10.2 Middle East & Africa AI Technology in Pharmaceutical Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa AI Technology in Pharmaceutical Market Size by Country (2018-2023)
10.4 Middle East & Africa AI Technology in Pharmaceutical Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM AI Technology in Pharmaceutical Introduction
11.1.4 IBM Revenue in AI Technology in Pharmaceutical Business (2018-2023)
11.1.5 IBM Recent Development
11.2 Google
11.2.1 Google Company Detail
11.2.2 Google Business Overview
11.2.3 Google AI Technology in Pharmaceutical Introduction
11.2.4 Google Revenue in AI Technology in Pharmaceutical Business (2018-2023)
11.2.5 Google Recent Development
11.3 BenevolentAI
11.3.1 BenevolentAI Company Detail
11.3.2 BenevolentAI Business Overview
11.3.3 BenevolentAI AI Technology in Pharmaceutical Introduction
11.3.4 BenevolentAI Revenue in AI Technology in Pharmaceutical Business (2018-2023)
11.3.5 BenevolentAI 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 Technology in Pharmaceutical Introduction
11.4.4 Insilico Medicine Revenue in AI Technology in Pharmaceutical Business (2018-2023)
11.4.5 Insilico Medicine Recent Development
11.5 Atomwise
11.5.1 Atomwise Company Detail
11.5.2 Atomwise Business Overview
11.5.3 Atomwise AI Technology in Pharmaceutical Introduction
11.5.4 Atomwise Revenue in AI Technology in Pharmaceutical Business (2018-2023)
11.5.5 Atomwise Recent Development
11.6 GNS Healthcare
11.6.1 GNS Healthcare Company Detail
11.6.2 GNS Healthcare Business Overview
11.6.3 GNS Healthcare AI Technology in Pharmaceutical Introduction
11.6.4 GNS Healthcare Revenue in AI Technology in Pharmaceutical Business (2018-2023)
11.6.5 GNS Healthcare Recent Development
11.7 Cloud Pharmaceuticals
11.7.1 Cloud Pharmaceuticals Company Detail
11.7.2 Cloud Pharmaceuticals Business Overview
11.7.3 Cloud Pharmaceuticals AI Technology in Pharmaceutical Introduction
11.7.4 Cloud Pharmaceuticals Revenue in AI Technology in Pharmaceutical Business (2018-2023)
11.7.5 Cloud Pharmaceuticals Recent Development
11.8 Exscientia
11.8.1 Exscientia Company Detail
11.8.2 Exscientia Business Overview
11.8.3 Exscientia AI Technology in Pharmaceutical Introduction
11.8.4 Exscientia Revenue in AI Technology in Pharmaceutical Business (2018-2023)
11.8.5 Exscientia Recent Development
11.9 Cyclica
11.9.1 Cyclica Company Detail
11.9.2 Cyclica Business Overview
11.9.3 Cyclica AI Technology in Pharmaceutical Introduction
11.9.4 Cyclica Revenue in AI Technology in Pharmaceutical Business (2018-2023)
11.9.5 Cyclica Recent Development
11.10 Recursion
11.10.1 Recursion Company Detail
11.10.2 Recursion Business Overview
11.10.3 Recursion AI Technology in Pharmaceutical Introduction
11.10.4 Recursion Revenue in AI Technology in Pharmaceutical Business (2018-2023)
11.10.5 Recursion Recent Development
11.11 Iktos
11.11.1 Iktos Company Detail
11.11.2 Iktos Business Overview
11.11.3 Iktos AI Technology in Pharmaceutical Introduction
11.11.4 Iktos Revenue in AI Technology in Pharmaceutical Business (2018-2023)
11.11.5 Iktos Recent Development
11.12 Auransa
11.12.1 Auransa Company Detail
11.12.2 Auransa Business Overview
11.12.3 Auransa AI Technology in Pharmaceutical Introduction
11.12.4 Auransa Revenue in AI Technology in Pharmaceutical Business (2018-2023)
11.12.5 Auransa Recent Development
11.13 InveniAI
11.13.1 InveniAI Company Detail
11.13.2 InveniAI Business Overview
11.13.3 InveniAI AI Technology in Pharmaceutical Introduction
11.13.4 InveniAI Revenue in AI Technology in Pharmaceutical Business (2018-2023)
11.13.5 InveniAI Recent Development
11.14 Deep Genomics
11.14.1 Deep Genomics Company Detail
11.14.2 Deep Genomics Business Overview
11.14.3 Deep Genomics AI Technology in Pharmaceutical Introduction
11.14.4 Deep Genomics Revenue in AI Technology in Pharmaceutical Business (2018-2023)
11.14.5 Deep Genomics 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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