제약 및 생명공학 분야 AI 시장 : 세계 산업 분석, 규모, 점유율, 성장, 동향 및 예측(2024-2034년)
AI in Pharma and Biotech Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2024-2034
상품코드:1487505
리서치사:Transparency Market Research
발행일:2024년 04월
페이지 정보:영문 139 Pages
라이선스 & 가격 (부가세 별도)
한글목차
제약 및 생명공학 분야 AI 시장 - 조사 범위
TMR의 조사 보고서 "제약 및 생명공학 분야의 세계 AI 시장"은 2024년부터 2034년까지의 예측 기간 동안 시장 지표에 대한 귀중한 통찰력을 얻기 위해 과거뿐만 아니라 현재의 성장 동향과 기회를 조사했습니다. 이 보고서는 2024년을 기준연도로, 2034년을 예측연도로 하여 2018년부터 2034년까지 세계 제약 및 바이오테크놀러지 분야의 AI 시장 수익과 예측을 제공합니다. 또한 2024년부터 2034년까지 세계 제약 및 바이오테크놀러지 분야 AI 시장의 연평균 복합 성장률(CAGR%)도 제시합니다.
이 보고서는 광범위한 조사를 통해 작성되었으며, 1차 조사에서는 KOL(Key Opinion Leader), 업계 리더 및 오피니언 제조업체를 인터뷰하고, 2차 조사에서는 주요 기업의 제품 자료, 연례 보고서, 보도 자료, 관련 문서 등을 참조하여 제약 및 바이오테크놀러지 시장의 AI에 대한 이해도를 높였습니다. 제약 및 바이오테크놀러지 시장에서의 AI를 이해하였습니다.
시장 현황
2023년 시장 규모
18억 달러
2034년 시장 가치
131억 달러
CAGR
18.8%
이 보고서는 세계 제약 및 생명공학 분야의 인공지능(AI) 시장 경쟁 구도를 심층 분석합니다. 세계 제약 및 생명공학 분야 AI 시장에서 사업을 운영하는 주요 기업들을 식별하고, 각 기업들은 다양한 속성으로 프로파일을 작성했습니다. 기업 개요, 재무 상태, 최근 동향, SWOT는 이 보고서에서 다루는 세계 제약 및 생명공학 분야 AI 시장 기업의 속성입니다.
목차
제1장 서문
제2장 전제조건과 조사 방법
제3장 주요 요약 : 세계 시장
제4장 시장 개요
서론
시장 개요
시장 역학
세계 시장 분석과 예측, 2020년-2034년
제5장 주요 인사이트
파이프라인 분석
주요 제품/브랜드 분석
주요 M&A
COVID-19 팬데믹의 산업에 대한 영향
제6장 세계 시장 분석과 예측 : 용도별
서론과 정의
주요 조사 결과/발전
시장 매출 예측 : 용도별, 2020년-2034년
Drug Discovery & Development
임상시험 및 최적화
예측적 메인터넌스 및 품질 관리
Drug Discovery 타겟 식별
질병 진단과 예후 예측
기타
시장의 매력 분석 : 용도별
제7장 세계 시장 분석과 예측 : 최종사용자별
서론과 정의
주요 조사 결과/발전
시장 매출 예측 : 최종사용자별, 2020년-2034년
제약 기업 및 바이오테크놀러지 기업
학술 및 수탁연구기관
기타
시장의 매력 분석 : 최종사용자별
제8장 세계 시장 분석과 예측 : 지역별
주요 조사 결과
시장 매출 예측 : 지역별, 2020년-2034년
북미
유럽
아시아태평양
라틴아메리카
중동 및 아프리카
시장의 매력 분석 : 지역별
제9장 북미 시장 분석과 예측
제10장 유럽 시장 분석과 예측
제11장 아시아태평양 시장 분석과 예측
제12장 라틴아메리카 시장 분석과 예측
제13장 중동 및 아프리카 시장 분석과 예측
제14장 경쟁 구도
시장 경쟁 매트릭스(기업 Tier별·기업 규모별)
시장 점유율 분석 : 기업별(2023년)
기업 개요
BenevolentAI SA
Insilico Medicine
Recursion Pharmaceuticals
Atomwise Inc.
Berg LLC
Cloud Pharmaceuticals
Deep Genomics
Exscientia
Schrodinger
twoXar, Inc.
Insitro
LSH
영문 목차
영문목차
AI in Pharma and Biotech Market - Scope of Report
TMR's report on the global AI in pharma and biotech market studies the past as well as the current growth trends and opportunities to gain valuable insights of the indicators of the market during the forecast period from 2024 to 2034. The report provides revenue of the global AI in pharma and biotech market for the period 2018-2034, considering 2024 as the base year and 2034 as the forecast year. The report also provides the compound annual growth rate (CAGR %) of the global AI in pharma and biotech market from 2024 to 2034.
The report has been prepared after an extensive research. Primary research involved bulk of the research efforts, wherein analysts carried out interviews with key opinion leaders, industry leaders, and opinion makers. Secondary research involved referring to key players' product literature, annual reports, press releases, and relevant documents to understand the AI in pharma and biotech market.
Market Snapshot
Market Value in 2023
US$ 1.8 Bn
Market Value in 2034
US$ 13.1 Bn
CAGR
18.8%
Secondary research also included Internet sources, statistical data from government agencies, websites, and trade associations. Analysts employed a combination of top-down and bottom-up approaches to study various attributes of the global AI in pharma and biotech market.
The report includes an elaborate executive summary, along with a snapshot of the growth behavior of various segments included in the scope of the study. Moreover, the report throws light on the changing competitive dynamics in the global AI in pharma and biotech market. These serve as valuable tools for existing market players as well as for entities interested in participating in the global AI in pharma and biotech market.
The report delves into the competitive landscape of the global AI in pharma and biotech market. Key players operating in the global AI in pharma and biotech market have been identified and each one of these has been profiled in terms of various attributes. Company overview, financial standings, recent developments, and SWOT are the attributes of players in the global AI in pharma and biotech market profiled in this report.
Key Questions Answered in Global AI in pharma and biotech Market Report:
What is the sales/revenue generated by AI in pharma and biotech across all regions during the forecast period?
What are the opportunities in the global AI in pharma and biotech market?
What are the major drivers, restraints, opportunities, and threats in the market?
Which regional market is set to expand at the fastest CAGR during the forecast period?
Which segment is expected to generate the highest revenue globally in 2034?
Which segment is projected to expand at the highest CAGR during the forecast period?
What are the market positions of different companies operating in the global market?
AI in Pharma and Biotech Market - Research Objectives and Research Approach
The comprehensive report on the global AI in pharma and biotech market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products.
For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller ones. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.
The report analyzes the global AI in pharma and biotech market in terms of product, end-user, and region. Key segments under each criterion have been studied at length, and the market share for each of these at the end of 2034 has been provided. Such valuable insights enable market stakeholders in making informed business decisions for investment in the global AI in pharma and biotech market.
Table of Contents
1. Preface
1.1. Market Definition and Scope
1.2. Market Segmentation
1.3. Key Research Objectives
1.4. Research Highlights
2. Assumptions and Research Methodology
3. Executive Summary: Global AI in Pharma and Biotech Market
4. Market Overview
4.1. Introduction
4.1.1. Product Definition
4.1.2. Industry Evolution/Developments
4.2. Overview
4.3. Market Dynamics
4.3.1. Drivers
4.3.2. Restraints
4.3.3. Opportunities
4.4. Global AI in Pharma and Biotech Market Analysis and Forecast, 2020-2034
5. Key Insights
5.1. Pipeline Analysis
5.2. Key Product/Brand Analysis
5.3. Key Mergers & Acquisitions
5.4. COVID-19 Pandemic Impact on Industry
6. Global AI in Pharma and Biotech Market Analysis and Forecast, by Application
6.1. Introduction & Definition
6.2. Key Findings/Developments
6.3. Market Value Forecast, by Application, 2020-2034
6.3.1. Drug Discovery and Development
6.3.2. Clinical Trials and Optimization
6.3.3. Predictive Maintenance and Quality Control
6.3.4. Drug Target Identification
6.3.5. Disease Diagnosis & Prognosis
6.3.6. Others
6.4. Market Attractiveness Analysis, by Application
7. Global AI in Pharma and Biotech Market Analysis and Forecast, by End-user
7.1. Introduction & Definition
7.2. Key Findings/Developments
7.3. Market Value Forecast, by End-user, 2020-2034
7.3.1. Pharmaceutical & Biotech Companies
7.3.2. Academic & Contract Research Organizations
7.3.3. Others
7.4. Market Attractiveness Analysis, by End-user
8. Global AI in Pharma and Biotech Market Analysis and Forecast, by Region
8.1. Key Findings
8.2. Market Value Forecast, by Region, 2020-2034
8.2.1. North America
8.2.2. Europe
8.2.3. Asia Pacific
8.2.4. Latin America
8.2.5. Middle East & Africa
8.3. Market Attractiveness Analysis, by Region
9. North America AI in Pharma and Biotech Market Analysis and Forecast
9.1. Introduction
9.2. Key Findings
9.3. Market Value Forecast, by Application, 2020-2034
9.3.1. Drug Discovery and Development
9.3.2. Clinical Trials and Optimization
9.3.3. Predictive Maintenance and Quality Control
9.3.4. Drug Target Identification
9.3.5. Disease Diagnosis & Prognosis
9.3.6. Others
9.4. Market Value Forecast, by End-user, 2020-2034
9.4.1. Pharmaceutical & Biotech Companies
9.4.2. Academic & Contract Research Organizations
9.4.3. Others
9.5. Market Value Forecast, by Country, 2020-2034
9.5.1. U.S.
9.5.2. Canada
9.6. Market Attractiveness Analysis
9.6.1. By Application
9.6.2. By End-user
9.6.3. By Country
10. Europe AI in Pharma and Biotech Market Analysis and Forecast
10.1. Introduction
10.2. Key Findings
10.3. Market Value Forecast, by Application, 2020-2034
10.3.1. Drug Discovery and Development
10.3.2. Clinical Trials and Optimization
10.3.3. Predictive Maintenance and Quality Control
10.3.4. Drug Target Identification
10.3.5. Disease Diagnosis & Prognosis
10.3.6. Others
10.4. Market Value Forecast, by End-user, 2020-2034
10.4.1. Pharmaceutical & Biotech Companies
10.4.2. Academic & Contract Research Organizations
10.4.3. Others
10.5. Market Value Forecast, by Country/Sub-region, 2020-2034
10.5.1. Germany
10.5.2. U.K.
10.5.3. France
10.5.4. Italy
10.5.5. Spain
10.5.6. Rest of Europe
10.6. Market Attractiveness Analysis
10.6.1. By Application
10.6.2. By End-user
10.6.3. By Country/Sub-region
11. Asia Pacific AI in Pharma and Biotech Market Analysis and Forecast
11.1. Introduction
11.2. Key Findings
11.3. Market Value Forecast, by Application, 2020-2034
11.3.1. Drug Discovery and Development
11.3.2. Clinical Trials and Optimization
11.3.3. Predictive Maintenance and Quality Control
11.3.4. Drug Target Identification
11.3.5. Disease Diagnosis & Prognosis
11.3.6. Others
11.4. Market Value Forecast, by End-user, 2020-2034
11.4.1. Pharmaceutical & Biotech Companies
11.4.2. Academic & Contract Research Organizations
11.4.3. Others
11.5. Market Value Forecast, by Country/Sub-region, 2020-2034
11.5.1. China
11.5.2. Japan
11.5.3. India
11.5.4. Australia & New Zealand
11.5.5. Rest of Asia Pacific
11.6. Market Attractiveness Analysis
11.6.1. By Application
11.6.2. By End-user
11.6.3. By Country/Sub-region
12. Latin America AI in Pharma and Biotech Market Analysis and Forecast
12.1. Introduction
12.2. Key Findings
12.3. Market Value Forecast, by Application, 2020-2034
12.3.1. Drug Discovery and Development
12.3.2. Clinical Trials and Optimization
12.3.3. Predictive Maintenance and Quality Control
12.3.4. Drug Target Identification
12.3.5. Disease Diagnosis & Prognosis
12.3.6. Others
12.4. Market Value Forecast, by End-user, 2020-2034
12.4.1. Pharmaceutical & Biotech Companies
12.4.2. Academic & Contract Research Organizations
12.4.3. Others
12.5. Market Value Forecast, by Country/Sub-region, 2020-2034
12.5.1. Brazil
12.5.2. Mexico
12.5.3. Rest of Latin America
12.6. Market Attractiveness Analysis
12.6.1. By Application
12.6.2. By End-user
12.6.3. By Country/Sub-region
13. Middle East & Africa AI in Pharma and Biotech Market Analysis and Forecast
13.1. Introduction
13.2. Key Findings
13.3. Market Value Forecast, by Application, 2020-2034
13.3.1. Drug Discovery and Development
13.3.2. Clinical Trials and Optimization
13.3.3. Predictive Maintenance and Quality Control
13.3.4. Drug Target Identification
13.3.5. Disease Diagnosis & Prognosis
13.3.6. Others
13.4. Market Value Forecast, by End-user, 2020-2034
13.4.1. Pharmaceutical & Biotech Companies
13.4.2. Academic & Contract Research Organizations
13.4.3. Others
13.5. Market Value Forecast, by Country/Sub-region, 2020-2034
13.5.1. GCC Countries
13.5.2. South Africa
13.5.3. Rest of Middle East & Africa
13.6. Market Attractiveness Analysis
13.6.1. By Application
13.6.2. By End-user
13.6.3. By Country/Sub-region
14. Competition Landscape
14.1. Market Player - Competitive Matrix (by Tier and Size of Companies)
