Artificial Intelligence (AI) in Biopharmaceuticals Market Report 2023-2033

Artificial Intelligence (AI) in Biopharmaceuticals Market Report 2023-2033



The Artificial Intelligence (AI) in Biopharmaceuticals Market Report 2023-2033: This report will prove invaluable to leading firms striving for new revenue pockets if they wish to better understand the industry and its underlying dynamics. It will be useful for companies that would like to expand into different industries or to expand their existing operations in a new region.

Increasing collaborations among organizations towards drug development enabled by AI

There has been a significant shift in cutting-edge AI technologies at big pharmaceutical companies. Since 2015, there has been a clear change in the public's image of artificial intelligence, from skepticism to cautious interest to the realization that AI plays a vital role in the new ""data-centric"" model of innovation. This shift in perception was supported by a number of elements, including: - a flurry of research discoveries and proof-of-concept studies in a variety of AI application use cases; - a number of commercial successes and successfully attained milestones incorporating AI as a key component of research. For instance, in March 2023, Exscientia PLC announced collaboration with Charité – Universitätsmedizin Berlin (Germany) to adopt AI-driven precision medicine platform in haematological cancers. In February 2023, Verily, an Alphabet precision health company, and Otsuka Pharmaceutical Development & Commercialization, Inc. (Otsuka) announced that they are collaborating on novel methods for clinical trials looking at therapies for individuals with Major Depressive Disorder (MDD).

Developing interoperability systems is a challenging factor for the market

The capacity of systems and gadgets to communicate and decipher shared data through wired and wireless networks is referred to as interoperability. For all parties involved in the health care ecosystem, including biopharma businesses, it poses a serious challenge. The majority of biopharmaceutical businesses operate across many geographies with numerous diverse IT systems and require access to information from a wide range of IT systems used by healthcare organisations and other partners. The capacity to establish connectivity and communication between devices and IT systems, as well as between data and workflows, is necessary for interoperability. This is done by using consensus standards and protocols to enable secure and transparent data exchange.

The entire biopharma value chain must be improved through the development of interoperable technologies, especially in the area of patient data sharing with consent. Among many other uses, interoperability can assist businesses in communicating with clinicians and patients more effectively, enhancing the supply chain's ability to track and trace items, enhancing clinical decision support, locating patients, and enhancing drug adherence. To increase workflow efficiency and performance and to eliminate siloes behaviour, interoperability is required.

What Questions Should You Ask before Buying a Market Research Report?

How is the AI in Biopharmaceutical market evolving?

What is driving and restraining the AI in Biopharmaceutical market?

How will each AI in Biopharmaceutical submarket segment grow over the forecast period and how much revenue will these submarkets account for in 2033?

How will the market shares for each AI in Biopharmaceutical submarket develop from 2023 to 2033?

What will be the main driver for the overall market from 2023 to 2033?

Will leading AI in Biopharmaceutical markets broadly follow the macroeconomic dynamics, or will individual national markets outperform others?

How will the market shares of the national markets change by 2033 and which geographical region will lead the market in 2033?

Who are the leading players and what are their prospects over the forecast period?

What are the AI in Biopharmaceutical projects for these leading companies?

How will the industry evolve during the period between 2023 and 2033? What are the implications of AI in Biopharmaceutical projects taking place now and over the next 10 years?

Is there a greater need for product commercialisation to further scale the AI in Biopharmaceutical market?

Where is the AI in Biopharmaceutical market heading and how can you ensure you are at the forefront of the market?

What are the best investment options for new product and service lines?

What are the key prospects for moving companies into a new growth path and C-suite?

You need to discover how this will impact the AI in Biopharmaceutical market today, and over the next 10 years:

Our 218-page report provides 90 tables and 137 charts/graphs exclusively to you.

The report highlights key lucrative areas in the industry so you can target them – NOW.

It contains in-depth analysis of global, regional and national sales and growth.

It highlights for you the key successful trends, changes and revenue projections made by your competitors.

This report tells you TODAY how the AI in Biopharmaceutical market will develop in the next 10 years, and in line with the variations in COVID-19 economic recession and bounce. This market is more critical now than at any point over the last 10 years.

Forecasts to 2033 and other analyses reveal commercial prospects

In addition to revenue forecasting to 2033, our new study provides you with recent results, growth rates, and market shares.

You will find original analyses, with business outlooks and developments.

Discover qualitative analyses (including market dynamics, drivers, opportunities, restraints and challenges), cost structure, impact of rising AI in Biopharmaceutical prices and recent developments.

This report includes data analysis and invaluable insight into how COVID-19 will affect the industry and your company.

Segments Covered in the Report

Technology Outlook

Deep Learning

NLP

Image Processing

Other Technologies

Application

Business Process & Supply Chain

Drug Discovery

Medical Imaging & Diagnostics

Precision Medicine

End-users

Manufacturers

Contract Research Organizations

Academic & Government Research Institutes

In addition to the revenue predictions for the overall world market and segments, you will also find revenue forecasts for five regional and 17 leading national markets:

North America

U.S.

Canada

Europe

Germany

UK

France

Spain

Italy

Russia

Rest of Europe

Asia Pacific

China

Japan

India

Australia

South Korea

Rest of Asia Pacific

Latin America

Brazil

Mexico

Rest of Latin America

MEA

GCC

South Africa

Rest of MEA

The report also includes profiles and for some of the leading companies in the AI in Biopharmaceutical Market, 2023 to 2033, with a focus on this segment of these companies’ operations.

Leading companies and the potential for market growth

Alphabet Inc.

Amgen Inc.

ConcertAI

Exscientia

Insilico Medicine

Merative (IBM)

Microsoft

NVIDIA Corporation

Schrödinger, Inc.

Tencent

Overall world revenue for AI in Biopharmaceutical Market, 2023 to 2033 in terms of value the market will surpass US$49.3 billion in 2023, our work calculates. We predict strong revenue growth through to 2033. Our work identifies which organizations hold the greatest potential. Discover their capabilities, progress, and commercial prospects, helping you stay ahead.

How will the AI in Biopharmaceutical Market, 2023 to 2033 report help you?

In summary, our 210+ page report provides you with the following knowledge:

Revenue forecasts to 2033 for AI in Biopharmaceutical Market, 2023 to 2033 Market, with forecasts for technology, application, and end-users, each forecast at a global and regional level – discover the industry’s prospects, finding the most lucrative places for investments and revenues.

Revenue forecasts to 2033 for five regional and 17 key national markets – See forecasts for the AI in Biopharmaceutical Market, 2023 to 2033 market in North America, Europe, Asia-Pacific, Latin America, and MEA. Also forecasted is the market in the US, Canada, Mexico, Brazil, Germany, France, UK, Italy, China, India, Japan, and Australia among other prominent economies.

Prospects for established firms and those seeking to enter the market – including company profiles for 10 of the major companies involved in the AI in Biopharmaceutical Market, 2023 to 2033.

Find quantitative and qualitative analyses with independent predictions. Receive information that only our report contains, staying informed with invaluable business intelligence.

Information found nowhere else

With our new report, you are less likely to fall behind in knowledge or miss out on opportunities. See how our work could benefit your research, analyses, and decisions. Our study is for everybody needing commercial analyses for the AI in Biopharmaceutical Market, 2023 to 2033, market-leading companies. You will find data, trends and predictions.

Please Note: Prior to initiating fulfillment of an order, the client will be required to sign a document detailing the purchase terms for a publication from this publisher..

The publisher is using a password system to access single user and team licenses. Single user (non-printable) and team licenses expire after 12 month period. In the case of team license purchases, the publisher requires all email addresses for the licensed users prior to fulfilment.


1 Report Overview
1.1 Objectives of the Study
1.2 Introduction
1.3 What This Report Delivers
1.4 Why You Should Read This Report
1.5 Key Questions Answered by This Analytical Report
1.6 Who is This Report for?
1.7 Methodology
1.7.1 Market Definitions
1.7.2 Market Evaluation & Forecasting Methodology
1.7.3 Data Validation
1.7.3.1 Primary Research
1.7.3.2 Secondary Research
1.8 Frequently Asked Questions (FAQs)
1.9 Associated Reports
1.10 About
2 Executive Summary
3 Market Overview
3.1 Key Findings
3.2 Market Dynamics
3.2.1 Market Driving Factors
3.2.1.1 Automation in Drug Discovery and development
3.2.1.2 Better data analysis and pattern recognition in biopharma with AI to drive the technology adoption
3.2.1.3 Patent expiry to create opportunity for AI-driven development
3.2.2 Market Restraining Factors
3.2.2.1 Developing interoperability systems is a challenging factor for the market
3.2.2.2 Data Privacy and security
3.2.3 Market Opportunities
3.2.3.1 Increasing collaborations among organizations towards drug development enabled by AI
3.2.3.2 India to be one of the most lucrative countries for investment in biotechnologies
3.3 COVID-19 Impact Analysis
3.4 Porter’s Five Forces Analysis
3.4.1 Bargaining Power of Suppliers
3.4.2 Bargaining Power of Buyers
3.4.3 Competitive Rivalry
3.4.4 Threat from Substitutes
3.4.5 Threat of New Entrants
3.5 PEST Analysis
4 Artificial Intelligence in Biopharmaceutical Market Analysis by Technology
4.1 Key Findings
4.2 Technology Segment: Market Attractiveness Index
4.3 Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Technology
4.4 Deep Learning
4.4.1 Market Size by Region, 2023-2033 (US$ Million)
4.4.2 Market Share by Region, 2023 & 2033 (%)
4.5 Natural Language Processing (NLP)
4.5.1 Market Size by Region, 2023-2033 (US$ Million)
4.5.2 Market Share by Region, 2023 & 2033 (%)
4.6 Image Processing
4.6.1 Market Size by Region, 2023-2033 (US$ Million)
4.6.2 Market Share by Region, 2023 & 2033 (%)
4.7 Other Technologies
4.7.1 Market Size by Region, 2023-2033 (US$ Million)
4.7.2 Market Share by Region, 2023 & 2033 (%)
5 Artificial Intelligence in Biopharmaceutical Market Analysis by Application
5.1 Key Findings
5.2 Application Segment: Market Attractiveness Index
5.3 Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Application
5.4 Business Process & Supply Chain
5.4.1 Market Size by Region, 2023-2033 (US$ Million)
5.4.2 Market Share by Region, 2023 & 2033 (%)
5.5 Drug Discovery
5.5.1 Market Size by Region, 2023-2033 (US$ Million)
5.5.2 Market Share by Region, 2023 & 2033 (%)
5.6 Medical Imaging & Diagnostics
5.6.1 Market Size by Region, 2023-2033 (US$ Million)
5.6.2 Market Share by Region, 2023 & 2033 (%)
5.7 Precision Medicine
5.7.1 Market Size by Region, 2023-2033 (US$ Million)
5.7.2 Market Share by Region, 2023 & 2033 (%)
5.8 Research
5.8.1 Market Size by Region, 2023-2033 (US$ Million)
5.8.2 Market Share by Region, 2023 & 2033 (%)
6 Artificial Intelligence in Biopharmaceutical Market Analysis by End-users
6.1 Key Findings
6.2 End-users Segment: Market Attractiveness Index
6.3 Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by End-users
6.4 Manufacturers
6.4.1 Market Size by Region, 2023-2033 (US$ Million)
6.4.2 Market Share by Region, 2023 & 2033 (%)
6.5 Contract Research Organizations (CROs)
6.5.1 Market Size by Region, 2023-2033 (US$ Million)
6.5.2 Market Share by Region, 2023 & 2033 (%)
6.6 Academic & Government Research Institutes
6.6.1 Market Size by Region, 2023-2033 (US$ Million)
6.6.2 Market Share by Region, 2023 & 2033 (%)
7 Artificial Intelligence in Biopharmaceutical Market Analysis by Region
7.1 Key Findings
7.2 Regional Market Size Estimation and Forecast
8 North America Artificial Intelligence in Biopharmaceutical Market Analysis
8.1 Key Findings
8.2 North America Artificial Intelligence in Biopharmaceutical Market Attractiveness Index
8.3 North America Artificial Intelligence in Biopharmaceutical Market by Country, 2023, 2028 & 2033 (US$ Million)
8.4 North America Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Country
8.5 North America Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Technology
8.6 North America Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Application
8.7 North America Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by End-users
8.8 U.S. Artificial Intelligence in Biopharmaceutical Market Analysis
8.9 Canada Artificial Intelligence in Biopharmaceutical Market Analysis
9 Europe Artificial Intelligence in Biopharmaceutical Market Analysis
9.1 Key Findings
9.2 Europe Artificial Intelligence in Biopharmaceutical Market Attractiveness Index
9.3 Europe Artificial Intelligence in Biopharmaceutical Market by Country, 2023, 2028 & 2033 (US$ Million)
9.4 Europe Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Country
9.5 Europe Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Technology
9.6 Europe Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Application
9.7 Europe Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by End-users
9.8 Germany Artificial Intelligence in Biopharmaceutical Market Analysis
9.9 France Artificial Intelligence in Biopharmaceutical Market Analysis
9.10 U.K. Artificial Intelligence in Biopharmaceutical Market Analysis
9.11 Italy Artificial Intelligence in Biopharmaceutical Market Analysis
9.12 Spain Artificial Intelligence in Biopharmaceutical Market Analysis
9.13 Russia Artificial Intelligence in Biopharmaceutical Market Analysis
9.14 Rest of Europe Artificial Intelligence in Biopharmaceutical Market Analysis
10 Asia Pacific Artificial Intelligence in Biopharmaceutical Market Analysis
10.1 Key Findings
10.2 Asia Pacific Artificial Intelligence in Biopharmaceutical Market Attractiveness Index
10.3 Asia Pacific Artificial Intelligence in Biopharmaceutical Market by Country, 2023, 2028 & 2033 (US$ Million)
10.4 Asia Pacific Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Country
10.5 Asia Pacific Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Technology
10.6 Asia Pacific Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Application
10.7 Asia Pacific Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by End-users
10.8 Japan Artificial Intelligence in Biopharmaceutical Market Analysis
10.9 China Artificial Intelligence in Biopharmaceutical Market Analysis
10.10 India Artificial Intelligence in Biopharmaceutical Market Analysis
10.11 Australia Artificial Intelligence in Biopharmaceutical Market Analysis
10.12 South Korea Artificial Intelligence in Biopharmaceutical Market Analysis
10.13 Rest of Asia-Pacific Artificial Intelligence in Biopharmaceutical Market Analysis
11 Latin America Artificial Intelligence in Biopharmaceutical Market Analysis
11.1 Key Findings
11.2 Latin America Artificial Intelligence in Biopharmaceutical Market Attractiveness Index
11.3 Latin America Artificial Intelligence in Biopharmaceutical Market by Country, 2023, 2028 & 2033 (US$ Million)
11.4 Latin America Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Country
11.5 Latin America Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Technology
11.6 Latin America Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Application
11.7 Latin America Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by End-users
11.8 Brazil Artificial Intelligence in Biopharmaceutical Market Analysis
11.9 Mexico Artificial Intelligence in Biopharmaceutical Market Analysis
11.10 Rest of Latin America Artificial Intelligence in Biopharmaceutical Market Analysis
12 MEA Artificial Intelligence in Biopharmaceutical
12.1 Key Findings
12.2 MEA Artificial Intelligence in Biopharmaceutical Market Attractiveness Index
12.3 MEA Artificial Intelligence in Biopharmaceutical Market by Country, 2023, 2028 & 2033 (US$ Million)
12.4 MEA Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Country
12.5 MEA Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Technology
12.6 MEA Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by Application
12.7 MEA Artificial Intelligence in Biopharmaceutical Market Size Estimation and Forecast by End-users
12.8 GCC Artificial Intelligence in Biopharmaceutical Market Analysis
12.9 South Africa Artificial Intelligence in Biopharmaceutical Market Analysis
12.10 Rest of MEA Artificial Intelligence in Biopharmaceutical Market Analysis
13 Company Profiles
13.1 Competitive Landscape, 2022
13.2 Strategic Outlook
13.3 Microsoft
13.3.1 Company Snapshot
13.3.2 Company Overview
13.3.3 Financial Analysis
13.3.3.1 Net Revenue, 2017-2022
13.3.3.2 R&D, 2017-2022
13.3.3.3 Regional Market Shares, 2022
13.3.4 Product & Solution Benchmarking
13.3.5 Strategic Outlook
13.4 NVIDIA Corporation
13.4.1 Company Snapshot
13.4.2 Company Overview
13.4.3 Financial Analysis
13.4.3.1 Net Revenue, 2017-2022
13.4.3.2 R&D, 2017-2022
13.4.3.3 Regional Market Shares, 2022
13.4.4 Solution Benchmarking
13.4.5 Strategic Outlook
13.5 Alphabet Inc.
13.5.1 Company Snapshot
13.5.2 Company Overview
13.5.3 Financial Analysis
13.5.3.1 Net Revenue, 2017-2022
13.5.3.2 R&D, 2017-2022
13.5.3.3 Regional Market Shares, 2022
13.5.4 Solution Benchmarking
13.5.5 Strategic Outlook
13.6 Amgen Inc.
13.6.1 Company Snapshot
13.6.2 Company Overview
13.6.3 Financial Analysis
13.6.3.1 Net Revenue, 2017-2022
13.6.3.2 R&D, 2017-2022
13.6.3.3 Regional Market Shares, 2022
13.6.4 Solution Benchmarking
13.6.5 Strategic Outlook
13.7 Merative ( previously IBM)
13.7.1 Company Snapshot
13.7.2 Company Overview
13.7.3 Financial Analysis
13.7.3.1 Net Revenue, 2017-2022
13.7.3.2 R&D, 2017-2022
13.7.3.3 Regional Market Shares, 2022
13.7.4 Solution Benchmarking
13.7.5 Strategic Outlook
13.8 Tencent
13.8.1 Company Snapshot
13.8.2 Company Overview
13.8.3 Financial Analysis
13.8.3.1 Net Revenue, 2018-2022
13.8.4 Solution Benchmarking
13.9 Exscientia PLC
13.9.1 Company Snapshot
13.9.2 Company Overview
13.9.3 Financial Analysis
13.9.3.1 Net Revenue, 2020-2022
13.9.3.2 Regional Market Shares, 2021
13.9.4 Solution Benchmarking
13.9.5 Strategic Outlook
13.10 Schrödinger, Inc.
13.10.1 Company Snapshot
13.10.2 Company Overview
13.10.3 Financial Analysis
13.10.3.1 Net Revenue, 2018-2022
13.10.3.2 R&D, 2017-2022
13.10.4 Solution Benchmarking
13.10.5 Strategic Outlook
13.11 Insilico Medicine
13.11.1 Company Snapshot
13.11.2 Company Overview
13.11.3 Solution Benchmarking
13.11.4 Strategic Outlook
13.12 ConcertAI
13.12.1 Company Snapshot
13.12.2 Company Overview
13.12.3 Solution Benchmarking
13.12.4 Strategic Outlook
14 Conclusion and Recommendations
14.1 Concluding Remarks from
14.2 Recommendations for Market Players

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