医薬品における生成AIの市場レポート：2030年までの動向、予測、競合分析

医薬品における生成AIの動向と予測

世界の医薬品における生成AI市場の将来は、臨床試験調査、創薬、研究開発市場での機会により有望に見えます。世界の医薬品における生成AI市場は、2024年から2030年にかけて29.5%のCAGRで成長すると予想されています。この市場の主な促進要因は、革新的な創薬と開発プロセス、臨床試験の設計に対する需要の高まり、医薬品の合成データを生成する要件の増大です。臨床試験が行われ、安全性と有効性を監視し、患者データを分析して個別の治療計画を特定する必要性が高まっています。

医薬品における生成AI市場に関する洞察

Lucintelは、ディープラーニングはパターンを発見し、巨大なデータセットから重要な表現を削除するための非常に効果的な方法であるため、予測期間を通じて引き続き最大のセグメントになると予測しています。

この市場では、大規模なデータセットと化学構造の分析に対するニーズが高まっているため、創薬が引き続き最大のセグメントとなるでしょう。

北米は、慢性疾患の有病率の増加、創薬と開発の高いニーズ、およびこの地域における主要企業の存在により、予測期間を通じて最大の地域であり続けるでしょう。

よくある質問

Q1.市場の成長予測は：

A1.世界の医薬品における生成AI市場は、2024年から2030年にかけて29.5%のCAGRで成長すると予想されています。

Q2.医薬品における生成AI市場の成長に影響を与える主な要因は何ですか：

A2.この市場の主な促進要因は、革新的な創薬および開発プロセスと臨床試験の設計に対する需要の高まり、臨床試験用の合成データ生成の要件の増大、安全性と有効性の監視、患者データの分析と個別化された治療計画の特定のニーズの増大です。

Q3.市場の主要セグメントは：

A3.医薬品における生成AI市場の将来は、臨床試験調査、創薬、研究開発市場での機会により有望に見えます。

Q4.医薬品における生成AI企業はどこですか：

A4.医薬品における生成AI市場企業の一部は次のとおりです。

• バイエル
• インシリコ医学
• アトムワイズ
• 慈悲深いAI
• 数値化する
• XtalPi
• ベルグヘルス
• コンデュエント社
• 富士通
• オクラ

Q5.今後、最大となる市場セグメントは：

A5. Lucintelは、ディープラーニングはパターンを発見し、巨大なデータセットから重要な表現を削除するための非常に効果的な方法であるため、予測期間を通じて引き続き最大のセグメントになると予測しています。

Q6.市場において、今後5年間に最大になると予想される地域は：

A6.北米は、慢性疾患の有病率の増加、創薬と開発の高いニーズ、およびこの地域における主要企業の存在により、予測期間を通じて最大の地域であり続けるでしょう。

Q7.レポートのカスタマイズは可能か：

A7.はい、Lucintelは追加費用なしで10%のカスタマイズを提供します。

目次

第1章 エグゼクティブサマリー

第2章 世界の医薬品における生成AI市場：市場力学

• イントロダクション、背景、分類
• サプライチェーン
• 業界の促進要因と課題

第3章 2018年から2030年までの市場動向と予測分析

• マクロ経済動向（2018～2023年）と予測（2024～2030年）
• 世界の医薬品における生成AI市場の動向（2018～2023年）と予測（2024～2030年）
• タイプ別の世界の医薬品における生成AI市場
  • 低分子
  • 高分子
• テクノロジーによる世界の医薬品における生成AI市場
  • ディープラーニング
  • 自然言語処理
  • 問い合わせ方法
  • コンテキスト認識型処理
  • その他
• アプリケーション別の世界の医薬品における生成AI市場
  • 臨床試験調査
  • 創薬
  • 研究開発
  • その他

第4章 2018年から2030年までの地域別の市場動向と予測分析

• 地域別の世界の医薬品における生成AI市場
• 北米の医薬品における生成AI市場
• 欧州の医薬品における生成AI市場
• アジア太平洋の医薬品における生成AI市場
• その他地域の医薬品における生成AI市場

第5章 競合の分析

• 製品ポートフォリオ分析
• 運用上の統合
• ポーターのファイブフォース分析

第6章 成長機会と戦略的分析

• 成長機会分析
  • タイプ別の世界の医薬品における生成AI市場の成長機会
  • テクノロジー別の世界の医薬品における生成AI市場の成長機会
  • アプリケーション別の世界の医薬品における生成AI市場の成長機会
  • 地域別の世界の医薬品における生成AI市場の成長機会
• 世界の医薬品における生成AI市場の新たな動向
• 戦略的分析
  • 新製品の開発
  • 世界の医薬品における生成AI市場の能力拡大
  • 世界の医薬品における生成AI市場の合併、買収、合弁事業
  • 認証とライセンシング

第7章 有力企業の企業プロファイル

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

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