시장보고서
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세계의 제약용 AI 시장 보고서(2024년)

AI In Pharma Global Market Report 2024

발행일: | 리서치사: The Business Research Company | 페이지 정보: 영문 200 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    


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제약용 AI 시장 규모는 향후 수년간 급격하게 성장할 것으로 예상되고 있습니다. 2028년에는 28.5%의 연간 복합 성장률(CAGR)로 56억 2,000만 달러로 성장할 것으로 예상됩니다. 예측 기간의 성장 요인으로는 제약사의 클라우드 기반 서비스 도입, 헬스케어 지출 증가, 정부의 AI 지원 등을 꼽을 수 있습니다. 주요 동향으로는 생성형 AI 도입, 분자 표적 식별 AI, 약물 스크리닝의 통합, AI 툴의 발전, 투자 증가, 전략적 파트너십 등이 있습니다.

제약용 AI 시장의 성장은 AI 개발에 대한 정부의 지원 증가로 인해 더욱 가속화될 것으로 예상됩니다. 각국 정부는 전 세계에서 제약 분야에서 AI 기술의 혁신 가능성을 인식하고 있으며, 이는 지원 정책 및 구상을 도입하는 것으로 이어지고 있습니다. 많은 국가들이 헬스케어 및 제약 분야에서의 AI 적용을 우선시하는 국가 AI 전략을 수립하고 있습니다. 이러한 전략은 AI 기술의 개발 및 통합을 촉진하고, 과학의 발전을 촉진하며, 국내의 현실적인 문제를 해결하기 위해 고안되었습니다. 대표적인 예로 호주 정부가 2022년 4월 발표한 중소기업(SME)의 AI 연구를 강화하기 위한 4400만 호주달러(2961만 달러) 규모의 융자 프로그램을 들 수 있습니다. 이 구상은 제약 산업을 포함한 호주의 국가 중점 제조 부문 전반에 걸쳐 AI 용도을 강화하는 것을 목표로 하는 보다 광범위한 전략에 따른 것입니다. 이 자금은 AI 연구 및 개발의 허브 역할을 하고 중소기업에 자원, 교육 및 지원을 제공하는 디지털 역량 센터를 설립하는 데 활용될 예정입니다. 결과적으로 정부 지원 확대는 예측 기간 중 제약 AI 시장 성장의 원동력이 될 것으로 예상됩니다.

제약용 AI 시장 성장세는 제약사내 클라우드 기반 용도과 서비스 도입이 확대되면서 더욱 가속화되고 있습니다. 클라우드 기반 신약개발 플랫폼은 데이터 분석과 클라우드 컴퓨팅 기술을 활용한 제약업계의 R&D에 대한 혁신적인 접근 방식을 의미합니다. 이러한 플랫폼은 다양한 툴와 기능을 제공하여 프로세스의 효율성, 비용 효율성 및 협업을 최적화함으로써 신약 개발 절차를 강화합니다. 제약사는 중요한 시장 참여 기업이자 최종사용자로서 대량의 임상, 화학 및 생물학적 데이터를 수용할 수 있는 안전한 데이터 저장 옵션의 이점을 누릴 수 있습니다. 2023년 3월, 미국에 본사를 둔 기술 기업 엔비디아(Nvidia Corporation)는 생명과학 연구, 신약 개발 및 단백질 공학의 간소화를 위해 BioNeMo 클라우드를 도입했습니다. 이 클라우드 기반 소프트웨어는 사전 학습된 AI 모델에 쉽게 접근할 수 있도록 하며, 사용자가 자신의 데이터를 사용하여 맞춤화할 수 있도록 지원합니다. 클라우드 서비스로 제공되는 BioNeMo Cloud는 신약개발 워크플로우를 가속화하고, 바이오테크 기업 암젠과 다양한 스타트업 기업에서 채택하고 있으며, 주목받고 있습니다. 제약 분야에서 클라우드 기반 용도 및 서비스 채택이 증가함에 따라 예측 기간 중 제약용 AI 시장 성장의 주요 동력이 될 것으로 예상됩니다.

목차

제1장 주요 요약

제2장 시장의 특징

제3장 시장 동향과 전략

제4장 거시경제 시나리오

  • 고인플레이션이 시장에 미치는 영향
  • 우크라이나·러시아 전쟁이 시장에 미치는 영향
  • 시장에 대한 COVID-19의 영향

제5장 세계 시장 규모와 성장

  • 세계 시장 촉진요인과 억제요인
    • 시장 촉진요인
    • 시장 억제요인
  • 세계 시장 규모 실적과 성장, 2018-2023년
  • 세계 시장 규모 예측과 성장, 2023-2028년, 2033년

제6장 시장 세분화

  • 세계의 제약용 AI 시장, 테크놀러지별 세분화, 실적 및 예측, 2018-2023년, 2023-2028년, 2033년
  • 상황 인식형 처리
  • 자연언어처리
  • 쿼리 메소드
  • 딥러닝
  • 세계의 제약용 AI 시장, 의약품 유형별 세분화, 실적 및 예측, 2018-2023년, 2023-2028년, 2033년
  • 저분자
  • 고분자
  • 세계의 제약용 AI 시장, 용도별 세분화, 실적 및 예측, 2018-2023년, 2023-2028년, 2033년
  • 진단
  • 임상시험 조사
  • Drug Discovery
  • 연구개발
  • 전염 예측

제7장 지역 및 국가 분석

  • 세계의 제약용 AI 시장, 지역별, 실적 및 예측, 2018-2023년, 2023-2028년, 2033년
  • 세계의 제약용 AI 시장, 국가별, 실적 및 예측, 2018-2023년, 2023-2028년, 2033년

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 개요

  • 시장의 경쟁 구도
  • 시장 기업 개요
    • Concerto HealthAI
    • Alphabet Inc.
    • OWKIN
    • Nvidia Corporation
    • PathAI

제31장 기타 대기업 및 혁신적 기업

  • 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.

제32장 경쟁 벤치마킹

제33장 경쟁 대시보드

제34장 주요 합병과 인수

제35장 전망과 가능성 분석

제36장 부록

KSA 24.03.25

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 $1.58 billion in 2023 to $2.06 billion in 2024 at a compound annual growth rate (CAGR) of 30.4%. The growth observed during the historic period can be attributed to two key factors such as the increased adoption of artificial intelligence (AI) for cost-efficient drug discovery and the 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 $5.62 billion in 2028 at a compound annual growth rate (CAGR) of 28.5%. Forecast period growth drivers include pharma firms adopting cloud-based services, increased healthcare spending, government backing AI. Key trends involve Introduction of generative AI, AI in molecular target identification, drug screening integration, AI tool advancements, increased investments, strategic partnerships.

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 growth trajectory of the AI in pharma market is further fueled by the escalating adoption of cloud-based applications and services within pharmaceutical companies. Cloud-based drug discovery platforms represent an innovative approach to research and development in the pharmaceutical industry, leveraging data analytics and cloud computing technologies. These platforms enhance drug discovery procedures by providing a diverse array of tools and functionalities, optimizing efficiency, cost-effectiveness, and collaboration in the process. Pharmaceutical companies, as significant market participants and end-users, benefit from secure data storage options that accommodate large volumes of clinical, chemical, and biological data. In March 2023, Nvidia Corporation, a US-based technology company, introduced BioNeMo Cloud to streamline life sciences research, drug discovery, and protein engineering. This cloud-based software facilitates access to pre-trained AI models, allowing customization with proprietary data. BioNeMo Cloud, offered as a cloud service, expedites drug discovery workflows, with notable adoption by biotech company Amgen and various startups. The increasing adoption of cloud-based applications and services within the pharmaceutical sector is expected to be a key driver for the growth of the AI in pharma market in 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 October 2021, Nurosene Health Inc., a Canadian company specializing in AI-driven technology for mental performance and wellness, acquired Netramark Incorporated for an undisclosed sum. This acquisition is intended to bolster Nurosene Health's AI-based neuroscience product portfolio. Netramark Incorporated, also based in Canada, focuses on pharmaceutical technology, employing AI, advanced mathematical techniques, and quantum computing to enhance new drug development, clinical trials, and diagnoses.

Major companies operating in the ai in pharma market report are 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 2023. 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 2024 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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

  • 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
  • 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

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global AI In Pharma Market Size and Growth

  • 5.1. Global AI In Pharma Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global AI In Pharma Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global AI In Pharma Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. AI In Pharma Market Segmentation

  • 6.1. Global AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Small Molecule
  • Large Molecules
  • 6.3. Global AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Diagnosis
  • Clinical Trial Research
  • Drug Discovery
  • Research and Development
  • Epidemic Prediction

7. AI In Pharma Market Regional And Country Analysis

  • 7.1. Global AI In Pharma Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global AI In Pharma Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific AI In Pharma Market

  • 8.1. Asia-Pacific AI In Pharma Market Overview
  • Region Information, Impact Of COVID-19, 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 Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China AI In Pharma Market

  • 9.1. China AI In Pharma Market Overview
  • 9.2. China AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India AI In Pharma Market

  • 10.1. India AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan AI In Pharma Market

  • 11.1. Japan AI In Pharma Market Overview
  • 11.2. Japan AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia AI In Pharma Market

  • 12.1. Australia AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia AI In Pharma Market

  • 13.1. Indonesia AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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 Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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 Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK AI In Pharma Market

  • 16.1. UK AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany AI In Pharma Market

  • 17.1. Germany AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France AI In Pharma Market

  • 18.1. France AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy AI In Pharma Market

  • 19.1. Italy AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain AI In Pharma Market

  • 20.1. Spain AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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 Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia AI In Pharma Market

  • 22.1. Russia AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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 Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA AI In Pharma Market

  • 24.1. USA AI In Pharma Market Overview
  • 24.2. USA AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada AI In Pharma Market

  • 25.1. Canada AI In Pharma Market Overview
  • 25.2. Canada AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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 Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil AI In Pharma Market

  • 27.1. Brazil AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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 Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa AI In Pharma Market

  • 29.1. Africa AI In Pharma Market Overview
  • 29.2. Africa AI In Pharma Market, Segmentation By Drug Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa AI In Pharma Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa AI In Pharma Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Alphabet Inc.
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. OWKIN
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Nvidia Corporation
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. PathAI
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

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

33. Global AI In Pharma Market Competitive Dashboard

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

35. AI In Pharma Market Future Outlook and Potential Analysis

  • 35.1 AI In Pharma Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 AI In Pharma Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 AI In Pharma Market In 2028 - 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
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