Global AI in Biopharmaceutical Development Market

Report ID : 1227 | Published : 2022-08-01 | Pages: | Format:

The Global AI in Biopharmaceutical Development market size was accounted at USD 452.33 Mn in 2021; It is projected to grow at a compound annual growth rate (CAGR) of 49.3% from 2022 to 2030. Artificial intelligence (AI) is a technology-based system that utilizes various advanced tools and networks to simulate human intelligence. Simultaneously, it does not appear to be on the verge of totally replacing human physical presence. With greater automation, Artificial Intelligence can manage massive volumes of data. AI employs systems and software that can read and learn from input data to make autonomous decisions to achieve specified goals. In the pharmaceutical industry, its uses are constantly being expanded. AI encompasses a variety of approach domains, including reasoning, knowledge representation, solution search, and machine learning (ML). It can help with rational drug development, decision-making, determining the best treatment for a patient, including tailored medicines, and managing clinical data for future drug development. In the case of drug discovery, AI can distinguish hit and lead compounds, allowing for faster therapeutic target validation and structural design optimization. The pharma industry faces challenges in overcoming the high attrition rates in drug development. The pharma industry is collaborating with AI industries to overcome challenges, and AI will improve the efficiency of the drug development process.

The biopharma industry has been changed by continuous medical and scientific innovation. New business models have emerged due to the growing demand for greater patient involvement and experience. As a result, AI is becoming increasingly common in the biopharmaceutical business, resulting in market expansion. Also, increasing drug development expenditure and awareness about AI’s capacity to work are significant reasons to elevate the market growth in the upcoming years. In 2021, Health-tech giant Nvidia collaborated with AstraZeneca and the University of Florida’s academic health centre, UF Health, on new artificial intelligence research projects to accelerate drug discovery and improve patient care.

The deficiency of skilled workers is a significant challenge in front of this market. Apart from this, a lack of regulations and ethical issues will hamper the market growth. Increasing use will affect unemployment and rise in competition. In addition, the cost of artificial intelligence devices, applications, and software are the most prominent issues in this AI-based biopharmaceutical development market.

The AI in the biopharmaceutical development market is segmented by type, application and end-user. Based on the types of the market includes monoclonal antibodies, vaccines, and recombinant proteins. Among these, monoclonal antibodies and vaccines type will lead the segment due to maximum usage of AI-based technologies and increasing investments in their research. While by applications, the market comprises research and discovery, clinical development, manufacturing & supply chain and other subsegments. At last End-User subsegment contains biopharmaceutical manufacturers, contract manufacturing organizations or contract research organizations (CRO), and academic & government research institutes. CROs and CMOs are expected to lead the market due to increased demand for their services regarding therapeutic developments.

By region, Asia Pacific is likely to account for the majority shares in the coming forecasting period 2022-2030 because of the growing software and services industry and funding for their development.

Prominent market players in the AI in the Biopharmaceutical development market are IBM Watson Health, Google (Alphabet Inc.), Concreto HealthAI, Nvidia Corporation, PathAI, Atomwise, Inc., Deep Genomics, Cloud Pharmaceuticals, Inc., Ai-biopharma S.A.S., and Microsoft Corporation, among others, are some key players operating in the AI in Biopharmaceutical Development Market.

  • IBM Watson Health
  • Google (Alphabet Inc.)
  • Concreto HealthAI
  • Nvidia Corporation
  • PathAI
  • Atomwise, Inc.
  • Deep Genomics
  • Cloud Pharmaceuticals, Inc.
  • Ai-biopharma S.A.S.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global AI in Biopharmaceutical Development Market Snapshot

Chapter 4. Global AI in Biopharmaceutical Development Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis of AI Industry

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. COVID-19 Impact on Metaverse Industry

Chapter 5. Market Segmentation 1: By Type Estimates & Trend Analysis

5.1. By Type & Market Share, 2022 & 2030

5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2030 for the following By Type:

5.2.1. Monoclonal antibodies

5.2.2. Vaccines

5.2.3. Recombinant proteins

Chapter 6. Market Segmentation 2: By Application Estimates & Trend Analysis

6.1. By Application & Market Share, 2022 & 2028

6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2028 for the following Technology Type:

6.2.1. Research and discovery

6.2.2. Clinical development

6.2.3. Manufacturing & supply chain and other subsegments

Chapter 7. Market Segmentation 3: By End-User Estimates & Trend Analysis

7.1. By End-user & Market Share, 2022 & 2030

7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2030 for the following End-user:

7.2.1. Biopharmaceutical manufacturers

7.2.2. Contract manufacturing organizations (CMOs) or contract research organizations (CROs)

7.2.3. Academic & government research institutes

Chapter 8. AI in Biopharmaceutical Development Market Segmentation 4 : Regional Estimates & Trend Analysis

8.1. North America

8.1.1. North America AI in Biopharmaceutical Development Market revenue (US$ Million) estimates and forecasts by Type, 2022-2030

8.1.2. North America AI in Biopharmaceutical Development Market revenue (US$ Million) estimates and forecasts by Application, 2022-2030

8.1.3. North America AI in Biopharmaceutical Development Market revenue (US$ Million) estimates and forecasts by End-user, 2022-2030

8.1.4. North America AI in Biopharmaceutical Development Market revenue (US$ Million) estimates and forecasts by country, 2022-2030

8.1.4.1. U.S.

8.1.4.2. Canada

8.2. Europe

8.2.1. Europe AI in Biopharmaceutical Development Market revenue (US$ Million) by by Type, 2022-2030

8.2.2. Europe AI in Biopharmaceutical Development Market revenue (US$ Million) estimates and forecasts by Application, 2022-2030

8.2.3. Europe AI in Biopharmaceutical Development Market revenue (US$ Million) estimates and forecasts by End-user, 2022-2030

8.2.4. Europe AI in Biopharmaceutical Development Market revenue (US$ Million) by country, 2022-2030

8.2.4.1. Germany

8.2.4.2. Poland

8.2.4.3. France

8.2.4.4. Italy

8.2.4.5. Spain

8.2.4.6. UK

8.2.4.7. Rest of Europe

8.3. Asia Pacific

8.3.1. Asia Pacific AI in Biopharmaceutical Development Market revenue (US$ Million) by by Type, 2022-2030

8.3.2. Asia Pacific AI in Biopharmaceutical Development Market revenue (US$ Million) estimates and forecasts by Application, 2022-2030

8.3.3. Asia Pacific AI in Biopharmaceutical Development Market revenue (US$ Million) estimates and forecasts by End-user, 2022-2030

8.3.4. Asia Pacific AI in Biopharmaceutical Development Market revenue (US$ Million) by country, 2022-2030

8.3.4.1. China

8.3.4.2. India

8.3.4.3. Japan

8.3.4.4. Australia

8.3.4.5. Rest of Asia Pacific

8.4. Latin America

8.4.1. Latin America AI in Biopharmaceutical Development Market revenue (US$ Million) by Type, 2022-2030

8.4.2. Latin America AI in Biopharmaceutical Development Market revenue (US$ Million) estimates and forecasts by Application, 2022-2030

8.4.3. Latin America AI in Biopharmaceutical Development Market revenue (US$ Million) estimates and forecasts by End-user, 2022-2030

8.4.4. Latin America AI in Biopharmaceutical Development Market revenue (US$ Million) by country, (US$ Million) 2022-2030

8.4.4.1. Brazil

8.4.4.2. Rest of Latin America

8.5. Middle East & Africa

8.5.1. Middle East & Africa AI in Biopharmaceutical Development Market revenue (US$ Million) by Type, (US$ Million)

8.5.2. Middle East & Africa AI in Biopharmaceutical Development Market revenue (US$ Million) estimates and forecasts by Application, 2022-2030

8.5.3. Middle East & Africa AI in Biopharmaceutical Development Market revenue (US$ Million) estimates and forecasts by End-user, 2022-2030

8.5.4. Middle East & Africa AI in Biopharmaceutical Development Market revenue (US$ Million) by country, (US$ Million) 2022-2030

8.5.4.1. South Africa

8.5.4.2. GCC Countries

8.5.4.3. Rest of MEA

Chapter 9. Competitive Landscape

9.1. Major Mergers and Acquisitions/Strategic Alliances

9.2. Company Profiles

9.2.1. IBM Watson Health

9.2.2. Google (Alphabet Inc.)

9.2.3. Concreto HealthAI

9.2.4. Nvidia Corporation

9.2.5. PathAI

9.2.6. Atomwise, Inc.

9.2.7. Deep Genomics

9.2.8. Cloud Pharmaceuticals, Inc.

9.2.9. Ai-biopharma S.A.S.

9.2.10. Microsoft Corporation

9.2.11. Other Prominent Players

Global AI in Biopharmaceutical Development Market , by Type, 2022-2030 (Value US$ Mn)

  • Monoclonal antibodies
  • Vaccines
  • Recombinant proteins

Global AI in Biopharmaceutical Development Market , by Application, 2022-2030 (Value US$ Mn)

  • Research and discovery
  • Clinical development
  • Manufacturing & supply chain and other subsegments

Global AI in Biopharmaceutical Development Market , by End-User, 2022-2030 (Value US$ Mn)

  • Biopharmaceutical manufacturers
  • Contract manufacturing organizations (CMOs) or contract research organizations (CROs)
  • Academic & government research institutes

Global AI in Biopharmaceutical Development Market , by Region, 2022-2030 (Value US$ Mn)

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East & Africa

North America AI in Biopharmaceutical Development Market , by Country, 2022-2030 (Value US$ Mn)

  • U.S.
  • Canada

Europe AI in Biopharmaceutical Development Market , by Country, 2022-2030 (Value US$ Mn)

  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe

Asia Pacific AI in Biopharmaceutical Development Market , by Country, 2022-2030 (Value US$ Mn)

  • India
  • China
  • Japan
  • South Korea
  • Australia & New Zealand

Latin America AI in Biopharmaceutical Development Market , by Country, 2022-2030 (Value US$ Mn)

  • Brazil
  • Mexico
  • Rest of Latin America

Middle East & Africa AI in Biopharmaceutical Development Market , by Country, 2022-2030 (Value US$ Mn)

  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Landscape

  • Company Overview
  • Financial Performance
  • Key Development
  • Latest Strategic Developments

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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USD 452.33 Mn in 2021

annual growth rate (CAGR) of 49.3% from 2022 to 2030.

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