세계의 제약 분야 생성형 AI 시장 보고서 : 동향, 예측 및 경쟁 분석(-2030년)

Generative AI in Pharmaceutical Trends and Forecast

The future of generative AI in the global pharmaceutical market looks promising with opportunities in the clinical trial research, drug discovery, research and development markets. Generative AI in the global pharmaceutical market is expected to grow with a CAGR of 29.5% from 2024 to 2030. The major drivers for this market are rising demand for innovative drug discovery and development processes and design clinical trials, growing requirement to generate synthetic data for clinical trials, and increasing need to monitor the safety and efficacy, and analyze patient data and identify personalized treatment plans.

A more than 150-page report is developed to help in your business decisions.

Generative AI in Pharmaceutical by Segment

The study includes a forecast for generative AI in the global pharmaceutical by type, technology, application, and region.

Generative AI in Pharmaceutical Market by Type [Shipment Analysis by Value from 2018 to 2030]:

• Small Molecule
• Large Molecule

Generative AI in Pharmaceutical Market by Technology [Shipment Analysis by Value from 2018 to 2030]:

• Deep Learning
• Natural Language Processing
• Querying Method
• Context-Aware Processing
• Others

Generative AI in Pharmaceutical Market by Application [Shipment Analysis by Value from 2018 to 2030]:

• Clinical Trial Research
• Drug Discovery
• Research and Development
• Others

Generative AI in Pharmaceutical Market by Region [Shipment Analysis by Value from 2018 to 2030]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

List of Generative AI Companies in Pharmaceutical Market

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies generative AI companies in pharmaceutical market cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the generative AI companies in pharmaceutical market are profiled in this report include-

• Bayer
• Insilico Medicine
• Atomwise
• BenevolentAI
• Numerate
• XtalPi
• Berg Health
• Conduent Incorporated
• Fujitsu
• OKRA

Generative AI in Pharmaceutical Market Insights

Lucintel forecasts that deep learning will remain the largest segment over the forecast period as it is highly effective method for discovering patterns and removing significant representations from huge datasets.

Within this market, drug discovery will remain the largest segment due to rising need for analysis of large datasets and chemical structures.

North America will remain the largest region over the forecast period due to increasing prevalence of chronic diseases, high need for drug discovery and development, and presence of major players in the region.

Features of Generative AI in the Global Pharmaceutical Market

Market Size Estimates: Generative AI in pharmaceutical market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Generative AI in pharmaceutical market size by type, technology, application, and region in terms of value ($B).

Regional Analysis: Generative AI in pharmaceutical market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, technologies, applications, and regions for generative AI in the pharmaceutical market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of generative AI in the pharmaceutical market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q1. What is the growth forecast for generative AI in pharmaceutical market?

Answer: Generative AI in the global pharmaceutical market is expected to grow with a CAGR of 29.5% from 2024 to 2030.

Q2. What are the major drivers influencing the growth of generative AI in pharmaceutical market?

Answer: The major drivers for this market are rising demand for innovative drug discovery and development processes and design clinical trials, growing requirement to generate synthetic data for clinical trials, and increasing need to monitor the safety and efficacy, and analyze patient data and identify personalized treatment plans.

Q3. What are the major segments for generative AI in pharmaceutical market?

Answer: The future of generative AI in the pharmaceutical market looks promising with opportunities in the clinical trial research, drug discovery, research and development markets.

Q4. Who are the key generative AI companies in pharmaceutical market?

Answer: Some of the key generative AI companies in pharmaceutical market are as follows:

• Bayer
• Insilico Medicine
• Atomwise
• BenevolentAI
• Numerate
• XtalPi
• Berg Health
• Conduent Incorporated
• Fujitsu
• OKRA

Q5. Which generative AI in pharmaceutical market segment will be the largest in future?

Answer: Lucintel forecasts that deep learning will remain the largest segment over the forecast period as it is highly effective method for discovering patterns and removing significant representations from huge datasets.

Q6. In generative AI in pharmaceutical market, which region is expected to be the largest in next 5 years?

Answer: North America will remain the largest region over the forecast period due to increasing prevalence of chronic diseases, high need for drug discovery and development, and presence of major players in the region.

Q.7 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for generative AI in the pharmaceutical market by type (small molecule and large molecule), technology (deep learning, natural language processing, querying method, context-aware processing, and others), application (clinical trial research, drug discovery, research and development, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Generative AI in the Global Pharmaceutical Market: Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

• 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
• 3.2. Generative AI in the Global Pharmaceutical Market Trends (2018-2023) and Forecast (2024-2030)
• 3.3: Generative AI in the Global Pharmaceutical Market by Type
  • 3.3.1: Small Molecule
  • 3.3.2: Large Molecule
• 3.4: Generative AI in the Global Pharmaceutical Market by Technology
  • 3.4.1: Deep Learning
  • 3.4.2: Natural Language Processing
  • 3.4.3: Querying Method
  • 3.4.4: Context-aware Processing
  • 3.4.5: Others
• 3.5: Generative AI in the Global Pharmaceutical Market by Application
  • 3.5.1: Clinical Trial Research
  • 3.5.2: Drug Discovery
  • 3.5.3: Research and Development
  • 3.5.4: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

• 4.1: Generative AI in the Global Pharmaceutical Market by Region
• 4.2: Generative AI in the North American Pharmaceutical Market
  • 4.2.1: Generative AI in the North American Pharmaceutical Market by Technology: Deep Learning, Natural Language Processing, Querying Method, Context-aware Processing, and Others
  • 4.2.2: Generative AI in the North American Pharmaceutical Market by Application: Clinical Trial Research, Drug Discovery, Research and Development, and Others
• 4.3: Generative AI in the European Pharmaceutical Market
  • 4.3.1: Generative AI in the European Pharmaceutical Market by Technology: Deep Learning, Natural Language Processing, Querying Method, Context-aware Processing, and Others
  • 4.3.2: Generative AI in the European Pharmaceutical Market by Application: Clinical Trial Research, Drug Discovery, Research and Development, and Others
• 4.4: Generative AI in the APAC Pharmaceutical Market
  • 4.4.1: Generative AI in the APAC Pharmaceutical Market by Technology: Deep Learning, Natural Language Processing, Querying Method, Context-aware Processing, and Others
  • 4.4.2: Generative AI in the APAC Pharmaceutical Market by Application: Clinical Trial Research, Drug Discovery, Research and Development, and Others
• 4.5: Generative AI in the ROW Pharmaceutical Market
  • 4.5.1: Generative AI in the ROW Pharmaceutical Market by Technology: Deep Learning, Natural Language Processing, Querying Method, Context-aware Processing, and Others
  • 4.5.2: Generative AI in the ROW Pharmaceutical Market by Application: Clinical Trial Research, Drug Discovery, Research and Development, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for Generative AI in the Global Pharmaceutical Market by Type
  • 6.1.2: Growth Opportunities for Generative AI in the Global Pharmaceutical Market by Technology
  • 6.1.3: Growth Opportunities for Generative AI in the Global Pharmaceutical Market by Application
  • 6.1.4: Growth Opportunities for Generative AI in the Global Pharmaceutical Market by Region
• 6.2: Emerging Trends of Generative AI in the Global Pharmaceutical Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of Generative AI in the Global Pharmaceutical Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures of Generative AI in the Global Pharmaceutical Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: Bayer
• 7.2: Insilico Medicine
• 7.3: Atomwise
• 7.4: BenevolentAI
• 7.5: Numerate
• 7.6: XtalPi
• 7.7: Berg Health
• 7.8: Conduent Incorporated
• 7.9: Fujitsu
• 7.10: OKRA