医薬品におけるAIの世界市場レポート 2025年

医薬品におけるAI市場規模は、今後数年で飛躍的な成長が見込まれます。2029年の年間平均成長率（CAGR）は26.2％で、96億4,000万米ドルに成長します。予測期間の成長は、製薬企業によるクラウドベースのアプリケーションとサービスの採用、ヘルスケア支出の増加、AI開発に高まる政府支援の拡大に起因すると考えられます。予測期間における主な動向としては、ジェネレーティブ医薬品におけるAIのイントロダクション、分子標的同定におけるAIの利用、薬剤スクリーニングプロセスにおけるAIの統合、製薬業界向けAIツールの進歩、新製品ソリューション開発のための投資の増加、市場プレイヤー間の戦略的パートナーシップやコラボレーションなどが挙げられます。

医薬品におけるAI市場の成長が期待されるのは、AI開発に対する政府支援の増加によるものです。世界各国の政府は、医薬品分野におけるAI技術の変革の可能性を認めており、支援政策やイニシアティブの実施につながっています。数多くの国が、ヘルスケアと医薬品アプリケーションを優先する国家AI戦略を策定しています。これらの戦略は、AI技術の開発と統合を促進し、科学の進歩を促進し、国内の真の課題に取り組むことを目的としています。その一例が、オーストラリア政府が2022年4月に発表した、中小企業（SMEs）のAI研究を強化するための4,400万豪ドル（2,961万米ドル）の融資プログラムです。このイニシアチブは、製薬業界を含むオーストラリアの国家製造業優先部門全体でAIアプリケーションを強化することを目的とした広範な戦略に沿ったものです。この資金は、AIの研究開発の拠点となるデジタル・ケイパビリティ・センターの設立に活用され、中小企業にリソース、トレーニング、サポートを提供します。その結果、政府支援の拡大は、予測期間における医薬品におけるAI市場の成長の原動力となる見込みです。

製薬企業によるクラウドベースのアプリケーションやサービスの採用が拡大していることが、今後の医薬品におけるAI市場の拡大を後押しすると予想されます。クラウドベースの創薬プラットフォームは、製薬分野における研究開発の革新的なアプローチです。これらのプラットフォームは、データ分析とクラウドコンピューティング技術を活用して創薬プロセスを強化し、創薬研究や創薬のさまざまな側面に不可欠なさまざまなツールや機能を提供します。これらのプラットフォームは、これらのプロセスにおける効率性、費用対効果、コラボレーションの向上に貢献します。製薬企業はこれらのプラットフォームの主要な市場参入企業であり、エンドユーザーです。これらのプラットフォームは、安全なデータストレージソリューションを提供することにより、大量の臨床データ、化学データ、生物学的データの管理を可能にします。例えば、ルクセンブルクを拠点とする統計情報と分析のプロバイダーであるEurostat Statisticsは、2023年12月、欧州連合（EU）の企業の45.2%がクラウドコンピューティングを利用しており、2021年から4.2ポイント増加していると報告しています。ほとんどの企業が、電子メールホスティング、ファイルストレージ、オフィスソフトウェアにクラウドコンピューティングを活用しています。さらに、75.3%はセキュリティ・アプリケーション、データベース・ホスティング、アプリケーション開発プラットフォームに高度なクラウド・サービスを採用しており、効率性とセキュリティの向上を目的としたデジタル・ソリューションへの依存度が高まっていることを示しています。したがって、製薬企業によるクラウドベースのアプリケーションやサービスの採用が増加していることが、予測期間中の医薬品におけるAI市場の成長を促進する見通しです。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場：金利、インフレ、地政学、コロナ禍、回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

• 世界医薬品におけるAI PESTEL分析（政治、社会、技術、環境、法的要因、促進要因、抑制要因）
• 最終用途産業の分析
• 世界の医薬品におけるAI市場：成長率分析
• 世界の医薬品におけるAI市場の実績：規模と成長, 2019-2024
• 世界の医薬品におけるAI市場の予測：規模と成長, 2024-2029, 2034F
• 世界医薬品におけるAI総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界の医薬品におけるAI市場：技術別、実績と予測, 2019-2024, 2024-2029F, 2034F
• コンテキスト認識処理
• 自然言語処理
• クエリ方法
• ディープラーニング
• 世界の医薬品におけるAI市場薬の種類別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 小分子
• 巨大分子
• 世界の医薬品におけるAI市場：用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 診断
• 臨床試験調査
• 創薬
• 研究開発
• 疫病予測
• 世界の医薬品におけるAI市場、コンテキスト認識処理のサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• リアルタイムデータ処理
• コンテキスト推奨システム
• 適応学習システム
• 世界の医薬品におけるAI市場自然言語処理（NLP）のサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• テキスト分析と感情分析
• チャットボットとバーチャルアシスタント
• ドキュメントとデータマイニング
• 世界の医薬品におけるAI市場、クエリ方法のサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 構造化クエリ
• 非構造化クエリ
• セマンティック検索テクノロジー
• 世界の医薬品におけるAI市場、ディープラーニングのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 創薬のためのニューラルネットワーク
• 医療画像のための画像認識
• 予測分析モデル

第7章 地域別・国別分析

• 世界の医薬品におけるAI市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界の医薬品におけるAI市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• 医薬品におけるAI市場：競合情勢
• 医薬品におけるAI市場：企業プロファイル
  • Concerto HealthAI Overview, Products and Services, Strategy and Financial Analysis
  • Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
  • OWKIN Overview, Products and Services, Strategy and Financial Analysis
  • Nvidia Corporation Overview, Products and Services, Strategy and Financial Analysis
  • PathAI Overview, Products and Services, Strategy and Financial Analysis

第31章 その他の大手企業と革新的企業

• Insilico Medicine
• Exscientia
• Microsoft Corporation
• XtalPi
• Intel
• Standigm
• Takeda Pharmaceutical Company Ltd.
• Otsuka Pharmaceutical Co. Ltd.
• China National Pharmaceutical Group Co. Ltd.（Sinopharm）
• Jiangsu Hengrui Medicine Co. Ltd
• Cipla Limited
• Aurobindo Pharma Limited
• Dr. Reddy's Laboratories Ltd.
• Sun Pharma
• Alliance Pharm Pte Ltd.

第32章 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

• 医薬品におけるAI市場2029：新たな機会を提供する国
• 医薬品におけるAI市場2029：新たな機会を提供するセグメント
• 医薬品におけるAI市場2029：成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

AI in pharmaceuticals involves the application of automated algorithms to perform tasks typically requiring human intelligence. Within this realm, AI solutions effectively analyze extensive datasets, including disease patterns, and aid in determining optimal medication formulations for treating specific ailments.

The market analysis of artificial intelligence (AI) in the pharmaceutical sector, as detailed in the report, is segmented based on technology, encompassing context-aware processing, natural language processing, querying methods, and deep learning. Additionally, it is categorized by drug type, covering small molecules and large molecules. Furthermore, the segmentation includes various applications such as diagnosis, clinical trial research, drug discovery, research and development, and epidemic prediction.

The artificial intelligence (AI) in pharma market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in pharma market statistics, including artificial intelligence (AI) in pharma industry global market size, regional shares, competitors with artificial intelligence (AI) in pharma market share, detailed artificial intelligence (AI) in pharma market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in pharma industry. This artificial intelligence (AI) in pharma market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The AI in pharma market size has grown exponentially in recent years. It will grow from $2.92 billion in 2024 to $3.8 billion in 2025 at a compound annual growth rate (CAGR) of 30.1%. The growth in the historic period can be attributed to increased adoption of artificial intelligence (AI) for cost efficient drug discovery and rising implementation of AI in radiology.

The AI in pharma market size is expected to see exponential growth in the next few years. It will grow to $9.64 billion in 2029 at a compound annual growth rate (CAGR) of 26.2%. The growth in the forecast period can be attributed to adoption of cloud-based applications and services by pharma companies, increasing healthcare expenditure and growing government support rising to AI development. Major trends in the forecast period include introduction of generative AI in pharma, use of AI in molecular target identification, integration of AI in drug screening process, advancements in AI tools for the pharmaceutical industry, growing investments to develop new product solutions and strategic partnerships and collaborations among market players.

The anticipated growth of the AI in pharma market is set to be propelled by the increasing government support for AI development. Governments globally acknowledge the transformative potential of AI technologies within the pharmaceutical sector, leading to the implementation of supportive policies and initiatives. Numerous countries have formulated national AI strategies that prioritize healthcare and pharmaceutical applications. These strategies are designed to catalyze the development and integration of AI technology, fostering scientific advancements and addressing real challenges within the country. An illustrative example is the Australian government's announcement in April 2022 of a financing program amounting to AUD44 million ($29.61 million) to bolster AI research among small and medium-sized enterprises (SMEs). This initiative aligns with a broader strategy aimed at enhancing AI applications across Australia's national manufacturing priority sectors, including the pharmaceutical industry. The funds will be utilized to establish digital capability centers, serving as hubs for AI research and development, offering resources, training, and support to SMEs. Consequently, the growing government support is poised to be a driving force behind the growth of the AI in pharma market in the forecast period.

The growing adoption of cloud-based applications and services by pharmaceutical companies is expected to drive the expansion of the AI in pharma market in the future. Cloud-based drug discovery platforms represent an innovative approach to research and development in the pharmaceutical sector. These platforms utilize data analytics and cloud computing technologies to enhance drug discovery processes, offering a variety of tools and functionalities essential for various aspects of drug research and discovery. They contribute to improved efficiency, cost-effectiveness, and collaboration within these processes. Pharmaceutical companies are key market participants and end-users of these platforms, which enable them to manage large volumes of clinical, chemical, and biological data by providing secure data storage solutions. For example, in December 2023, Eurostat Statistics, a Luxembourg-based provider of statistical information and analysis, reported that 45.2% of European Union enterprises used cloud computing in 2023, an increase of 4.2 percentage points from 2021. Most enterprises utilize cloud computing for email hosting, file storage, and office software. Furthermore, 75.3% have adopted advanced cloud services for security applications, database hosting, and application development platforms, indicating a growing dependence on digital solutions for enhanced efficiency and security. Therefore, the increasing adoption of cloud-based applications and services by pharmaceutical companies is poised to propel the growth of the AI in pharma market during the forecast period.

An important trend in the AI for the pharma market is the introduction of new AI tools by companies, aiming to provide significant benefits to pharmaceutical companies. AI technology contributes to various aspects of the pharmaceutical industry, including quality control, predictive maintenance, waste reduction, design optimization, and process automation. In August 2022, Sanford Health and Sharp HealthCare, both US-based non-profit healthcare organizations, collaborated with Dandelion Health, a US-based healthcare AI company, to unveil a comprehensive data platform. Named the Dandelion Platform, this initiative provides health institutions with access to high-quality and representative patient data for the development of clinical AI tools. The platform enables health AI developers to securely access patient datasets, encompassing images, waveforms, and structured health records. This accessibility facilitates the creation of tools and products that can benefit both patients and clinicians.

Companies operating in the AI for pharma market are increasingly directing their focus towards the application of generative AI in improving medical consultations. Generative AI, a subfield of artificial intelligence dedicated to creating new data instances resembling existing data, has found its way into the pharmaceutical industry, offering the potential to revolutionize drug discovery, development, and medical records management. In October 2023, Ubie, a Japan-based medical AI startup, introduced a novel Generative AI feature designed for doctors. This feature, known as the 'Medical Interview Summary Function,' utilizes a Large Language Model (LLM) to generate AI-based summaries from patient visits. Specifically, it summarizes the 20-30 questions related to symptoms and lifestyle habits that patients answer on the 'Ubie Medical Navi' product. The LLM then presents this summary on the doctor's PC screen, enabling quick comprehension of the patient's symptoms and concerns. This innovation serves to enhance the quality of medical consultations by providing efficient and comprehensive summaries for healthcare professionals.

In July 2023, BioNTech SE, a Germany-based biotechnology firm known for developing and manufacturing active immunotherapies, acquired InstaDeep for an undisclosed sum. This acquisition is intended to strengthen BioNTech's AI-driven drug discovery and development capabilities, thereby speeding up the creation of next-generation immunotherapies and vaccines. InstaDeep is a UK-based technology company that specializes in artificial intelligence (AI) and machine learning (ML) solutions.

Major companies operating in the AI in pharma market include Concerto HealthAI, Alphabet Inc., OWKIN, Nvidia Corporation, PathAI, Insilico Medicine, Exscientia, Microsoft Corporation, XtalPi, Intel, Standigm, Takeda Pharmaceutical Company Ltd., Otsuka Pharmaceutical Co. Ltd., China National Pharmaceutical Group Co. Ltd. (Sinopharm), Jiangsu Hengrui Medicine Co. Ltd, Cipla Limited, Aurobindo Pharma Limited, Dr. Reddy's Laboratories Ltd., Sun Pharma, Alliance Pharm Pte Ltd., Shanghai Pharmaceuticals, DeepMind, GlaxoSmithKline, Sanofi, Bayer, Renalytix AI, Merck, AstraZeneca, Iktos, Benevolent AI, Novartis, Ardigen, Botkin, Webiomed, Care Mentor AI, Diagnocat, IBM Corporation, Atomwise Inc., Cloud Pharmaceuticals, Bioage, NuMedii, Envisagenics, Aria Pharmaceuticals, Verge Genomics, Berg LLC, Cyclica, IQVIA, Roche, Pfizer, PRA Health Science, Gesto, Intensicare, Epitrack, Deep Genomics Inc., Welltok Inc., Oncora Medical, Recursion Pharmaceuticals Inc., Nucleai, Pepticom, Rology, hearX Group, DilenyTech, iNNOHEALTH Technology Solutions

North America was the largest region in the AI in pharma market in 2024. The regions covered in the AI in pharma market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the AI in pharma market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.

The AI in pharma market includes revenues earned by entities by implementing quality control, addressing supply chain problems in the production line, and minimizing material waste. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI In Pharma Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in pharma market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for ai in pharma ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The ai in pharma market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Technology: Context-Aware Processing, Natural Language Processing, Querying Method, Deep Learning
• 2) By Drug Type: Small Molecule, Large Molecules
• 3) By Application: Diagnosis, Clinical Trial Research, Drug Discovery, Research and Development, Epidemic Prediction
• Subsegments:
• 1) By Context-Aware Processing: Real-Time Data Processing; Contextual Recommendation Systems; Adaptive Learning Systems
• 2) By Natural Language Processing (NLP): Text Analytics And Sentiment Analysis; Chatbots And Virtual Assistants; Document And Data Mining
• 3) By Querying Method: Structured Querying; Unstructured Querying; Semantic Search Technologies
• 4) By Deep Learning: Neural Networks For Drug Discovery; Image Recognition For Medical Imaging; Predictive Analytics Models
• Companies Mentioned: Concerto HealthAI; Alphabet Inc.; OWKIN; Nvidia Corporation; PathAI
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. AI In Pharma Market Characteristics

3. AI In Pharma Market Trends And Strategies

4. AI In Pharma Market - Macro Economic Scenario including the impact of Interest Rates, Inflation, Geopolitics and Covid And Recovery on the Market

5. Global AI In Pharma Growth Analysis And Strategic Analysis Framework

• 5.1. Global AI In Pharma PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 5.2. Analysis Of End Use Industries
• 5.3. Global AI In Pharma Market Growth Rate Analysis
• 5.4. Global AI In Pharma Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
• 5.5. Global AI In Pharma Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
• 5.6. Global AI In Pharma Total Addressable Market (TAM)

6. AI In Pharma Market Segmentation

• 6.1. Global AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Context-Aware Processing
• Natural Language Processing
• Querying Method
• Deep Learning
• 6.2. Global AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Small Molecule
• Large Molecules
• 6.3. Global AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Diagnosis
• Clinical Trial Research
• Drug Discovery
• Research and Development
• Epidemic Prediction
• 6.4. Global AI In Pharma Market, Sub-Segmentation Of Context-Aware Processing, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Real-Time Data Processing
• Contextual Recommendation Systems
• Adaptive Learning Systems
• 6.5. Global AI In Pharma Market, Sub-Segmentation Of Natural Language Processing (NLP), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Text Analytics And Sentiment Analysis
• Chatbots And Virtual Assistants
• Document And Data Mining
• 6.6. Global AI In Pharma Market, Sub-Segmentation Of Querying Method, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Structured Querying
• Unstructured Querying
• Semantic Search Technologies
• 6.7. Global AI In Pharma Market, Sub-Segmentation Of Deep Learning, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Neural Networks For Drug Discovery
• Image Recognition For Medical Imaging
• Predictive Analytics Models

7. AI In Pharma Market Regional And Country Analysis

• 7.1. Global AI In Pharma Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global AI In Pharma Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific AI In Pharma Market

• 8.1. Asia-Pacific AI In Pharma Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 8.2. Asia-Pacific AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI In Pharma Market

• 9.1. China AI In Pharma Market Overview
• 9.2. China AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI In Pharma Market

• 10.1. India AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI In Pharma Market

• 11.1. Japan AI In Pharma Market Overview
• 11.2. Japan AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI In Pharma Market

• 12.1. Australia AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI In Pharma Market

• 13.1. Indonesia AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI In Pharma Market

• 14.1. South Korea AI In Pharma Market Overview
• 14.2. South Korea AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI In Pharma Market

• 15.1. Western Europe AI In Pharma Market Overview
• 15.2. Western Europe AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI In Pharma Market

• 16.1. UK AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI In Pharma Market

• 17.1. Germany AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI In Pharma Market

• 18.1. France AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI In Pharma Market

• 19.1. Italy AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI In Pharma Market

• 20.1. Spain AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI In Pharma Market

• 21.1. Eastern Europe AI In Pharma Market Overview
• 21.2. Eastern Europe AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI In Pharma Market

• 22.1. Russia AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI In Pharma Market

• 23.1. North America AI In Pharma Market Overview
• 23.2. North America AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI In Pharma Market

• 24.1. USA AI In Pharma Market Overview
• 24.2. USA AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI In Pharma Market

• 25.1. Canada AI In Pharma Market Overview
• 25.2. Canada AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI In Pharma Market

• 26.1. South America AI In Pharma Market Overview
• 26.2. South America AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI In Pharma Market

• 27.1. Brazil AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI In Pharma Market

• 28.1. Middle East AI In Pharma Market Overview
• 28.2. Middle East AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI In Pharma Market

• 29.1. Africa AI In Pharma Market Overview
• 29.2. Africa AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. AI In Pharma Market Competitive Landscape And Company Profiles

• 30.1. AI In Pharma Market Competitive Landscape
• 30.2. AI In Pharma Market Company Profiles
  • 30.2.1. Concerto HealthAI Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. OWKIN Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. Nvidia Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. PathAI Overview, Products and Services, Strategy and Financial Analysis

31. AI In Pharma Market Other Major And Innovative Companies

• 31.1. Insilico Medicine
• 31.2. Exscientia
• 31.3. Microsoft Corporation
• 31.4. XtalPi
• 31.5. Intel
• 31.6. Standigm
• 31.7. Takeda Pharmaceutical Company Ltd.
• 31.8. Otsuka Pharmaceutical Co. Ltd.
• 31.9. China National Pharmaceutical Group Co. Ltd. (Sinopharm)
• 31.10. Jiangsu Hengrui Medicine Co. Ltd
• 31.11. Cipla Limited
• 31.12. Aurobindo Pharma Limited
• 31.13. Dr. Reddy's Laboratories Ltd.
• 31.14. Sun Pharma
• 31.15. Alliance Pharm Pte Ltd.

32. Global AI In Pharma Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI In Pharma Market

34. Recent Developments In The AI In Pharma Market

35. AI In Pharma Market High Potential Countries, Segments and Strategies

• 35.1 AI In Pharma Market In 2029 - Countries Offering Most New Opportunities
• 35.2 AI In Pharma Market In 2029 - Segments Offering Most New Opportunities
• 35.3 AI In Pharma Market In 2029 - Growth Strategies
  • 35.3.1 Market Trend Based Strategies
  • 35.3.2 Competitor Strategies

36. Appendix

• 36.1. Abbreviations
• 36.2. Currencies
• 36.3. Historic And Forecast Inflation Rates
• 36.4. Research Inquiries
• 36.5. The Business Research Company
• 36.6. Copyright And Disclaimer