製薬業界における機械学習（ML）の世界市場レポート 2025年

製薬業界における機械学習（ML）市場規模は、今後数年で飛躍的な成長が見込まれます。2029年には年間平均成長率（CAGR）35.8％で139億9,000万米ドルに成長します。予測期間の成長は、生物学的データの複雑化、計算能力の向上、業界意識の高まりと教育、患者中心のヘルスケアソリューションに起因しています。予測期間の主な動向には、AIと製薬企業の提携・協力、薬剤診断治療、MLシステムの相互運用性、臨床試験の分散化、AI主導のバイオマーカー発見などがあります。

人工知能（AI）の利用拡大が、医薬品分野における機械学習（ML）の拡大に拍車をかけています。分析、推論、学習のような複雑なタスクを実行するために人間の認知を模倣するAIは、複雑なタスクを実行することができるモデルを生成するためにデータ上で訓練されたアルゴリズムを採用するAIのサブセットであるMLを支える重要な推進力です。AIとMLは、製薬技術やドラッグデリバリーの設計に活用され、複雑な課題に対する加速的な解決策を提供しています。これらはドラッグデリバリーのプロセスに革命をもたらし、意思決定ツールを改善し、より効果的な意思決定のために膨大な量のデータを管理する可能性を秘めています。例えば、フォーブスが2023年6月に報じたように、英国では約43万2,000の組織、つまり6社に1社が少なくとも1つのAI技術を導入しています。さらに、大企業の68％、中堅企業の33％、中小企業の15％が少なくとも1つのAI技術を採用しています。その結果、AI導入の増加は製薬業界におけるMLを推進する態勢を整えています。

製薬業界の機械学習（ML）分野の主要企業は、創薬能力を高めるため、創薬ソフトウェアを含むユーザーフレンドリーなソフトウェアプラットフォームの構築に注力しています。創薬ソフトウェアは、新薬の特定と開発に利用される様々な専門ツールやプラットフォームを包含しています。例えば、2023年12月にMerck &Co.Inc.は、創薬ソフトウェアAIDDISONを発表しました。このsoftware-as-a-serviceプラットフォームはこの種のものとしては初めてで、ジェネレーティブAI、ML、コンピューター支援型ドラッグデザインを通じて創薬と合成を統合します。AIDDISONにより、研究室は広大な化学空間の中から適切な薬剤候補をピンポイントで特定し、600億を超える化学的標的から化合物を仮想的にスクリーニングし、より安全でコスト効率が高く、収率の高い薬剤製造のための合成ルートを評価することができます。

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、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

• 世界製薬業界における機械学習（ML） 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
• 世界の製薬業界における機械学習（ML）市場：成長率分析
• 世界の製薬業界における機械学習（ML）市場の実績：規模と成長, 2019-2024
• 世界の製薬業界における機械学習（ML）市場の予測：規模と成長, 2024-2029, 2034F
• 世界製薬業界における機械学習（ML）総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界の製薬業界における機械学習（ML）市場：コンポーネント別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ソリューション
• サービス
• 世界の製薬業界における機械学習（ML）市場：展開別、実績と予測, 2019-2024, 2024-2029F, 2034F
• クラウド
• オンプレミス
• 世界の製薬業界における機械学習（ML）市場：企業規模別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 中小企業
• 大企業
• 世界の製薬業界における機械学習（ML）市場、ソリューション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
• 創薬プラットフォーム
• 予測分析ツール
• 臨床試験最適化ソリューション
• 患者データ管理システム
• 個別化医療アプリケーション
• 世界の製薬業界における機械学習（ML）市場、サービスの種類別の細分化、実績と予測, 2019-2024, 2024-2029F, 2034F
• コンサルティングサービス
• 実装および統合サービス
• データ分析およびモデリングサービス
• トレーニングおよびサポートサービス
• マネージドサービス

第7章 地域別・国別分析

• 世界の製薬業界における機械学習（ML）市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界の製薬業界における機械学習（ML）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

• 製薬業界における機械学習（ML）市場：競合情勢
• 製薬業界における機械学習（ML）市場：企業プロファイル
  • Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
  • Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
  • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
  • Hitachi Ltd. 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

• International Business Machines Corporation
• Cisco Systems Inc.
• Oracle Corporation
• Honeywell International Inc.
• Hewlett Packard Enterprise
• NVIDIA Corporation
• Thales SA
• Atos SE
• Hexagon AB
• Palantir Technologies Inc.
• Verient Systems Inc.
• Alteryx Inc.
• Comet ML Inc.
• GAVS Technologies
• NEC Corporation

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

• 製薬業界における機械学習（ML）市場2029：新たな機会を提供する国
• 製薬業界における機械学習（ML）市場2029：新たな機会を提供するセグメント
• 製薬業界における機械学習（ML）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

Machine learning (ML) in the pharmaceutical industry market involves the application of artificial intelligence (AI) algorithms and techniques to enhance drug discovery, development, and manufacturing processes. Regulatory compliance and overcoming challenges related to data quality, research gaps, and regulatory uncertainty are essential for implementing ML solutions in this industry.

The primary components of machine learning in the pharmaceutical industry are solutions and services. Solutions are applications or systems that use ML algorithms to tackle specific challenges or tasks in the pharmaceutical sector. These solutions can be deployed on the cloud or on-premise and cater to enterprises of various sizes, including small and medium enterprises (SMEs) and large enterprises.

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

The machine learning (ML) in the pharmaceutical industry market size has grown exponentially in recent years. It will grow from $3.02 billion in 2024 to $4.11 billion in 2025 at a compound annual growth rate (CAGR) of 35.9%. The growth in the historic period can be attributed to increased adoption of federated learning, accelerated drug discovery timelines, enhanced drug safety and pharmacovigilance, expansion of precision medicine applications.

The machine learning (ML) in the pharmaceutical industry market size is expected to see exponential growth in the next few years. It will grow to $13.99 billion in 2029 at a compound annual growth rate (CAGR) of 35.8%. The growth in the forecast period can be attributed to increasing complexity of biological data, growing computational power, increasing industry awareness and education, patient-centric healthcare solutions. Major trends in the forecast period include AI-pharma partnerships and collaborations, drug-agnostic therapies, interoperability of ML systems, decentralized clinical trials, AI-driven biomarker discovery.

The growing use of artificial intelligence (AI) is fueling the expansion of machine learning (ML) in the pharmaceutical sector. AI, which mimics human cognition to execute intricate tasks such as analysis, reasoning, and learning, is a key driver behind ML, a subset of AI that employs algorithms trained on data to generate models capable of performing complex tasks. AI and ML have been harnessed in pharmaceutical technology and drug delivery design, providing accelerated solutions to intricate challenges. They hold the potential to revolutionize the drug delivery process, improve decision-making tools, and manage vast amounts of data for more effective decision-making. For example, as reported by Forbes in June 2023, around 432,000 UK organizations, or one in six, have adopted at least one AI technology. Furthermore, 68% of large businesses, 33% of medium-sized businesses, and 15% of small businesses have adopted at least one AI technology. Consequently, the increasing adoption of AI is poised to propel ML in the pharmaceutical industry.

Key players in the machine learning (ML) sector of the pharmaceutical industry are concentrating on creating user-friendly software platforms, including drug discovery software, to enhance their drug discovery capabilities. Drug discovery software encompasses various specialized tools and platforms utilized in identifying and developing new pharmaceutical drugs. For instance, in December 2023, Merck & Co. Inc., a US-based pharmaceutical company, introduced the AIDDISON drug discovery software. This software-as-a-service platform is the first of its kind, integrating drug discovery and synthesis through generative AI, ML, and computer-aided drug design. AIDDISON allows laboratories to pinpoint suitable drug candidates within a vast chemical space, virtually screen compounds from over 60 billion chemical targets, and assess synthesis routes for safer, more cost-effective, and higher-yield drug production.

In July 2023, BioNTech SE, a Germany-based biopharmaceutical company, acquired InstaDeep for $541 million. This acquisition is anticipated to enhance BioNTech's leading position in AI-powered drug discovery, design, and development. InstaDeep, a UK-based technology company, provides a variety of AI solutions and machine learning services tailored for the pharmaceutical sector.

Major companies operating in the machine learning (ML) in the pharmaceutical industry market report are Amazon.com Inc., Alphabet Inc., Microsoft Corporation, Dell Technologies Inc., Hitachi Ltd., International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, Honeywell International Inc., Hewlett Packard Enterprise, NVIDIA Corporation, Thales SA, Atos SE, Hexagon AB, Palantir Technologies Inc., Verient Systems Inc., Alteryx Inc., Comet ML Inc., GAVS Technologies, NEC Corporation, Veritone Inc., H2O.ai Inc., Sparkcognition Inc., Akira AI, Deep Genomics Inc., Cloud Pharmaceuticals Inc., Atomwise Inc., Cyclica Inc., BioSymetrics Inc., Neptune Labs

North America was the largest region in the machine learning in the pharmaceutical industry market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning (ml) in the pharmaceutical industry market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the machine learning (ml) in the pharmaceutical industry market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The machine learning (ML) in the pharmaceutical industry market consists of revenues earned by entities by providing components of machine learning (ML) in the pharmaceutical industry market such as solutions and services. The market value includes the value of related goods sold by the service provider or included within the service offering. The machine learning (ML) in the pharmaceutical industry market also includes sales of central processing units (CPUs), random access memory, storage systems, and graphics processing units (GPUs). Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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.

Machine Learning (ML) in The Pharmaceutical Industry 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 machine learning (ml) in the pharmaceutical industry 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 machine learning (ml) in the pharmaceutical industry ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The machine learning (ml) in the pharmaceutical industry 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 Component: Solution; Services
• 2) By Component: Cloud; On-premise
• 3) By Enterprise Size: Small and Medium Enterprises (SMEs); Large Enterprises
• Subsegments:
• 1) By Solution: Drug Discovery Platforms; Predictive Analytics Tools; Clinical Trial Optimization Solutions; Patient Data Management Systems; Personalized Medicine Applications
• 2) By Services: Consulting Services; Implementation And Integration Services; Data Analysis And Modeling Services; Training And Support Services; Managed Services
• Companies Mentioned: Amazon.com Inc.; Alphabet Inc.; Microsoft Corporation; Dell Technologies Inc.; Hitachi Ltd.
• 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. Machine Learning (ML) in The Pharmaceutical Industry Market Characteristics

3. Machine Learning (ML) in The Pharmaceutical Industry Market Trends And Strategies

4. Machine Learning (ML) in The Pharmaceutical Industry Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Machine Learning (ML) in The Pharmaceutical Industry Growth Analysis And Strategic Analysis Framework

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

6. Machine Learning (ML) in The Pharmaceutical Industry Market Segmentation

• 6.1. Global Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Solution
• Services
• 6.2. Global Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Cloud
• On-Premise
• 6.3. Global Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Small and Medium Enterprises (SMEs)
• Large Enterprises
• 6.4. Global Machine Learning (ML) in The Pharmaceutical Industry Market, Sub-Segmentation Of Solution, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Drug Discovery Platforms
• Predictive Analytics Tools
• Clinical Trial Optimization Solutions
• Patient Data Management Systems
• Personalized Medicine Applications
• 6.5. Global Machine Learning (ML) in The Pharmaceutical Industry Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Consulting Services
• Implementation And Integration Services
• Data Analysis And Modeling Services
• Training And Support Services
• Managed Services

7. Machine Learning (ML) in The Pharmaceutical Industry Market Regional And Country Analysis

• 7.1. Global Machine Learning (ML) in The Pharmaceutical Industry Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global Machine Learning (ML) in The Pharmaceutical Industry Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Machine Learning (ML) in The Pharmaceutical Industry Market

• 8.1. Asia-Pacific Machine Learning (ML) in The Pharmaceutical Industry 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 Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Machine Learning (ML) in The Pharmaceutical Industry Market

• 9.1. China Machine Learning (ML) in The Pharmaceutical Industry Market Overview
• 9.2. China Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Machine Learning (ML) in The Pharmaceutical Industry Market

• 10.1. India Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Machine Learning (ML) in The Pharmaceutical Industry Market

• 11.1. Japan Machine Learning (ML) in The Pharmaceutical Industry Market Overview
• 11.2. Japan Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Machine Learning (ML) in The Pharmaceutical Industry Market

• 12.1. Australia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Machine Learning (ML) in The Pharmaceutical Industry Market

• 13.1. Indonesia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Machine Learning (ML) in The Pharmaceutical Industry Market

• 14.1. South Korea Machine Learning (ML) in The Pharmaceutical Industry Market Overview
• 14.2. South Korea Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Machine Learning (ML) in The Pharmaceutical Industry Market

• 15.1. Western Europe Machine Learning (ML) in The Pharmaceutical Industry Market Overview
• 15.2. Western Europe Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Machine Learning (ML) in The Pharmaceutical Industry Market

• 16.1. UK Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Machine Learning (ML) in The Pharmaceutical Industry Market

• 17.1. Germany Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Machine Learning (ML) in The Pharmaceutical Industry Market

• 18.1. France Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Machine Learning (ML) in The Pharmaceutical Industry Market

• 19.1. Italy Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Machine Learning (ML) in The Pharmaceutical Industry Market

• 20.1. Spain Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Machine Learning (ML) in The Pharmaceutical Industry Market

• 21.1. Eastern Europe Machine Learning (ML) in The Pharmaceutical Industry Market Overview
• 21.2. Eastern Europe Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Machine Learning (ML) in The Pharmaceutical Industry Market

• 22.1. Russia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Machine Learning (ML) in The Pharmaceutical Industry Market

• 23.1. North America Machine Learning (ML) in The Pharmaceutical Industry Market Overview
• 23.2. North America Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Machine Learning (ML) in The Pharmaceutical Industry Market

• 24.1. USA Machine Learning (ML) in The Pharmaceutical Industry Market Overview
• 24.2. USA Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Machine Learning (ML) in The Pharmaceutical Industry Market

• 25.1. Canada Machine Learning (ML) in The Pharmaceutical Industry Market Overview
• 25.2. Canada Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Machine Learning (ML) in The Pharmaceutical Industry Market

• 26.1. South America Machine Learning (ML) in The Pharmaceutical Industry Market Overview
• 26.2. South America Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Machine Learning (ML) in The Pharmaceutical Industry Market

• 27.1. Brazil Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Machine Learning (ML) in The Pharmaceutical Industry Market

• 28.1. Middle East Machine Learning (ML) in The Pharmaceutical Industry Market Overview
• 28.2. Middle East Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Machine Learning (ML) in The Pharmaceutical Industry Market

• 29.1. Africa Machine Learning (ML) in The Pharmaceutical Industry Market Overview
• 29.2. Africa Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Machine Learning (ML) in The Pharmaceutical Industry Market Competitive Landscape And Company Profiles

• 30.1. Machine Learning (ML) in The Pharmaceutical Industry Market Competitive Landscape
• 30.2. Machine Learning (ML) in The Pharmaceutical Industry Market Company Profiles
  • 30.2.1. Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis

31. Machine Learning (ML) in The Pharmaceutical Industry Market Other Major And Innovative Companies

• 31.1. International Business Machines Corporation
• 31.2. Cisco Systems Inc.
• 31.3. Oracle Corporation
• 31.4. Honeywell International Inc.
• 31.5. Hewlett Packard Enterprise
• 31.6. NVIDIA Corporation
• 31.7. Thales SA
• 31.8. Atos SE
• 31.9. Hexagon AB
• 31.10. Palantir Technologies Inc.
• 31.11. Verient Systems Inc.
• 31.12. Alteryx Inc.
• 31.13. Comet ML Inc.
• 31.14. GAVS Technologies
• 31.15. NEC Corporation

32. Global Machine Learning (ML) in The Pharmaceutical Industry Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Machine Learning (ML) in The Pharmaceutical Industry Market

34. Recent Developments In The Machine Learning (ML) in The Pharmaceutical Industry Market

35. Machine Learning (ML) in The Pharmaceutical Industry Market High Potential Countries, Segments and Strategies

• 35.1 Machine Learning (ML) in The Pharmaceutical Industry Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Machine Learning (ML) in The Pharmaceutical Industry Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Machine Learning (ML) in The Pharmaceutical Industry 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