세계의 생명과학용 머신러닝 시장 : 구성 요소별, 용도별, 최종 사용자별, 국가별, 지역별 - 산업 분석, 시장 규모, 시장 점유율, 예측(2023-2030년)
Machine Learning in the Life Sciences Market, By Component, By Application, By End User, By Country, and By Region - Industry Analysis, Market Size, Market Share & Forecast from 2023-2030
상품코드:1351393
리서치사:AnalystView Market Insights
발행일:2023년 08월
페이지 정보:영문 284 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
보고서 하이라이트
생명과학용 머신러닝(Machine Learning in the Life Sciences) 시장 규모는 2022년 18억 740만 달러였으며, 2023년부터 2030년까지 CAGR 22.9%로 추이하며 성장할 것으로 예상됩니다.
생명과학용 머신러닝 시장 - 시장 역학 :
AI 기술의 이용 확대가 시장 성장을 견인 할 것으로 예상됩니다.
머신러닝은 건강 관리 분야에서 건강 관리에 사용되는 제품의 안전성에 대한 최신 정보를 전달하는 중요한 수단이되고 있습니다. 생명과학 사업의 대부분은 특히 맞춤형 약물 치료를 제공할 때 안전 정보를 보다 효과적으로 전달하기 위해 의약품 라벨(첨부 문서 및 환자용 정보 리플릿 등)을 개선하기 위해 열심히 노력하고 있습니다. 이 요소는 또한 안전상의 이유로 필수 참조 라벨을 업데이트할 필요가 있습니다. 이 라벨은 아트워크의 인쇄 및 제조일 등 관련 보건 당국에 제출하기 전에 몇 가지 요소를 고려해야 합니다. 또한 기업의 SOP 스케줄에서는 보건 당국이 요구하는 제출 기한보다 엄격한 제출 기한이 설정되어 부담과 비용에 박차를 가하고 있습니다. 자재에 가장 적합한 제출 기한을 설정하고 안전을 보장하기 위해 기업은 머신러닝에서 수집한 데이터 포인트를 결합합니다. 그러므로 이것이 예측 기간 동안 시장 성장을 가속할 것으로 예상됩니다.
생명과학용 머신러닝 시장-세분화 분석 :
생명과학용 머신러닝 시장은 구성 요소, 용도, 최종 사용자, 지역에 따라 세분화됩니다.
용도에 따라 생명과학용 머신러닝 시장은 신약 발견·연구개발, 정밀의료, 유전체학·단백질체학, 의료 영상 처리·진단, 임상 연구·임상시험으로 구분됩니다. 예측기간 중에는 임상연구·임상시험 분야가 시장을 독점할 것으로 보입니다. 생명 과학 분야에서 가장 데이터 집약적인 책임 중 하나가 임상 연구의 실시입니다. 이들은 다양한 환자 특성을 주시하면서 매일 엄청난 양의 데이터를 생성합니다. 연구자들은 정교한 AI 시스템을 통해 이러한 데이터 세트를 실행하여 느슨하게 연결된 데이터 간의 연관성을 찾을 수 있습니다. 이러한 이유로 여러 제약 회사와 임상 연구 기관이 인공 지능과 같은 최첨단 도구에 돈을 투자하고 있습니다. 현재 시장 환경에서 세계 임상시험의 50% 이상을 매년 실시하고 있는 제약산업이 AI의 급속한 도입을 폭넓게 관찰하고 있습니다. 따라서 예측 기간 동안 부문 확대를 견인하고 있습니다.
생명과학용 머신러닝 시장-지리적 통찰
지역적으로, 이 시장은 북미, 남미, 유럽, 아시아 태평양, 중동 및 아프리카로 분류됩니다. 이 지역은 비즈니스를 제공하는 국가에 의해 더욱 세분화됩니다. 북미는 거의 모든 생명과학 응용 분야에서 인공지능(AI) 솔루션에 대한 수요가 증가하고 있기 때문에 예측 기간 동안 시장을 독점할 것으로 예상됩니다. 게다가 제약회사의 수가 많아 미국의 의약품 수출 수요가 세계적으로 증가하고 있는 것이 기업이 R&D 업무에 종사하는 것을 뒷받침하고 있습니다. 예를 들어, 세계 무역에 관한 유엔 COMTRADE 데이터기반에 따르면, 미국은 2022년에 834억 9,000만 달러 상당의 의약품을 수출했습니다. 따라서 앞서 언급한 통계는 예측 기간 동안 시장 성장을 가속합니다.
생명과학용 머신러닝 시장-경쟁 구도 :
이 시장에서 사업을 전개하는 주요 기업은 다음과 같습니다 : Atomwise Inc., Insilico Medicine Inc., IBM Corporation, AiCure LLC, Nuance Communications Inc., Sensely Inc., Sophia Genetics SA, NuMedii Inc., Enlitic Inc., Apixio Inc., Zebra Medical Vision, twoXAR Inc.
목차
제1장 생명 과학 시장 개요
조사 범위
시장 추정 연도
제2장 주요 요약
시장 분석
경쟁 인사이트
제3장 생명과학용 머신러닝-주요 시장 동향
시장 성장 촉진 요인
시장 성장 억제 요인
시장 기회
향후 시장 동향
제4장 생명과학용 머신러닝 산업 조사
PEST 분석
Porter's Five Forces 분석
성장 전망 맵핑
규제 프레임워크 분석
제5장 생명과학용 머신러닝 시장 : COVID-19 영향 분석
COVID-19 이전 영향 분석
COVID-19 이후 영향 분석
제6장 생명과학용 머신러닝 시장 상황
생명과학용 머신러닝 시장 점유율 분석(2022년)
주요 제조사별 분석 데이터
기존 기업 분석
신흥 기업 분석
제7장 생명과학용 머신러닝 시장-구성 요소별
개요
구성 요소별 부문 점유율 분석
소프트웨어
서비스
제8장 생명과학용 머신러닝 시장-용도별
개요
용도별 부문 점유율 분석
신약 발견·연구개발
정밀의료
유전체학·단백질체학
의료 영상 처리·진단
임상 연구·임상시험
제9장 생명과학용 머신러닝 시장-최종 사용자별
개요
최종 사용자별 부문 점유율 분석
제약회사 및 생명공학 회사
학술연구기관
헬스케어 제공업체
수탁조사기관(CRO)
제10장 생명과학용 머신러닝 시장-지역별
소개
북미
개요
북미의 주요 제조사
미국
캐나다
유럽
개요
유럽의 주요 제조사
독일
이탈리아
영국
프랑스
러시아
네덜란드
스웨덴
폴란드
기타
아시아 태평양(APAC)
개요
아시아 태평양의 주요 제조사
인도
중국
일본
한국
호주
태국
인도네시아
필리핀
기타
남미
개요
남미의 주요 제조사
브라질
멕시코
아르헨티나
콜롬비아
기타
중동 및 아프리카
개요
중동 및 아프리카의 주요 제조사
사우디아라비아
아랍에미리트(UAE)
이스라엘
터키
알제리
이집트
기타
제11장 주요 벤더 분석-생명과학용 머신러닝
경쟁 대시보드
기업 개요
Atomwise Inc
Insilico Medicine Inc.
IBM Corporation
AiCure LLC
Nuance Communications Inc.
Sensely Inc.
Sophia Genetics SA
NuMedii Inc.
Enlitic Inc.
Apixio Inc.
Zebra Medical Vision
twoXAR Inc.
제12장 애널리스트의 전방위 전망
LYJ
영문 목차
영문목차
REPORT HIGHLIGHT
Machine Learning in the Life Sciences Market size was valued at USD 1,807.4 Million in 2022, expanding at a CAGR of 22.9% from 2023 to 2030.
Artificial intelligence, which is widely defined as a machine's capacity to mimic intelligent human behavior, includes the subfield of machine learning. Artificial intelligence (AI) systems are used to carry out complicated tasks like how people solve issues. AI and ML will assist life sciences companies in the future in developing treatments more quickly and effectively, lowering the costs of healthcare while increasing accessibility for patients. These technologies will work in conjunction with machine learning (ML) and natural language processing, which enable the algorithms to learn from experiences.
Machine Learning in the Life Sciences Market - Market Dynamics:
Increasing uses of AI technologies drive the market growth
Machine learning is becoming a crucial instrument in the healthcare sector for disseminating the most recent information on the safety of the products used in healthcare. The majority of life science businesses are eager to improve drug labels (such as package inserts and patient information leaflets) to more effectively communicate safety information, particularly when it comes to offering customized medication. This element is also causing the need for an updated reference label, which is essential for safety reasons. This label must take into account several factors before being submitted to the relevant health authority, including artwork printing, manufacturing run dates, and so on. Additionally, corporations' SOP schedules set submission due dates that are stricter than those required by health authorities, which adds to the burden and expense. To establish the best submission date for the items and ensure their safety, the corporation combined its data points that were gathered with machine learning. Thus, this is expected to drive market growth during the forecast period.
Machine Learning in the Life Sciences Market - Key Insights:
As per the analysis shared by our research analyst, the global Machine Learning in the Life Sciences market is estimated to grow annually at a CAGR of around 22.9% over the forecast period (2023-2030)
Machine Learning in the Life Sciences industry is projected to grow at a significant rate owing to the growing investment in advanced technologies by the life science industries.
Based on the application, the clinical research and trials segment is expected to dominate the market during the forecast period.
Based on region, North America is expected to dominate the market over the forecast period.
Machine Learning in the Life Sciences Market- Segmentation Analysis:
The Global Machine Learning in the Life Sciences Market is segmented based on component, application, end user and Region.
Based on the application, the global Machine Learning in the Life Sciences market is segmented into drug discovery and development, precision medicine, genomics and proteomics, medical imaging and diagnostics and clinical research and trials. The clinical research and trials segment is expected to dominate the market during the forecast period. One of the life sciences sector's most data-intensive responsibilities is conducting clinical studies. They produce enormous amounts of data every day while keeping an eye on various patient characteristics. Researchers can find relevant connections between loosely connected data by running these data sets through sophisticated AI systems. This motivates several pharmaceutical firms and clinical research institutions to spend money on cutting-edge tools like artificial intelligence. In the current market environment, the pharmaceutical industry, which conducts over 50% of all clinical trials worldwide each year, is extensively observing the rapid adoption of AI. Thus, driving the segment expansion over the forecast period.
Machine Learning in the Life Sciences Market- Geographical Insights
Geographically, this market is widespread in the regions of North America, Latin America, Europe, Asia Pacific, and the Middle East and Africa. These regions are further divided as per the nations bringing business. North America is expected to dominate the market over the forecast period due to the increased demand for artificial intelligence (AI) solutions from nearly all life sciences applications. Additionally, the large number of pharmaceutical firms and the increased demand for American pharmaceutical exports globally are encouraging businesses to engage in R&D operations. For instance, according to the United Nations COMTRADE database on global commerce, the United States exported pharmaceutical products worth US$83.49 billion in 2022. Thus, the aforementioned stats propel the market growth during the forecast period.
Machine Learning in the Life Sciences Market- Competitive Landscape:
The key players operating in the market are: Atomwise Inc, Insilico Medicine Inc., IBM Corporation, AiCure LLC, Nuance Communications Inc., Sensely Inc., Sophia Genetics SA, NuMedii Inc., Enlitic Inc., Apixio Inc., Zebra Medical Vision and twoXAR Inc.
Recent Developments:
In May 2023, two new AI-powered life sciences solutions from Google Cloud have been introduced to help biotech businesses, pharmaceutical corporations, and government agencies speed up drug development and precision medicine. The Multiomics Suite expedites the identification and analysis of genetic data, assisting businesses in the development of precision medicines. The Target and Lead Identification Suite aids researchers in better understanding the role of amino acids and predicting the structure of proteins.
Key features of the study:
This proposed research study on Machine Learning in the Life Sciences market provides market size (US$ million), compound annual growth rate (CAGR %) and forecast estimation (2023-2030), considering 2022 as the base year
The report provides the client the latest up-to-date and trending insights about the Machine Learning in the Life Sciences market.
The research report elucidates potential growth opportunities across different segments/countries and explains attractive investment proposition matrix for Machine Learning in the Life Sciences market
The overall report identifies new investment opportunities, challenges faced by established players, and growth factors to sustain in the Machine Learning in the Life Sciences market
Impact of COVID-19 on Machine Learning in the Life Sciences market size, forecast, CAGR, and market dynamics are discussed in detail under the research scope. Detailed insight on Machine Learning in the Life Sciences market post-COVID will also be covered.
In order to give the users of this report a comprehensive view on the Machine Learning in the Life Sciences market, we have also included competitive landscape and key innovator analysis for the Machine Learning in the Life Sciences market.
The study encompasses a growth prospect mapping analysis, wherein all the industry segments are benchmarked based on their market size, growth rate and attractiveness.
The report offers detailed company profiling featuring major market participants which will help users to understand their financial information and strategic initiatives of players operating in the Machine Learning in the Life Sciences market.
In addition, the report also unveils the important acquisitions & mergers, collaborations & joint ventures, new launch, research & development, regional expansion of major participants involved in the market on global as well as regional level.
The global Machine Learning in the Life Sciences market report primarily caters to various stakeholders in this industry including suppliers, investors, new entrants, distributors, and financial analysts
SCOPE OF THE REPORT
The scope of this report covers the market by its major segments, which include as follows:
GLOBAL MACHINE LEARNING IN THE LIFE SCIENCES MARKET KEY PLAYERS
Atomwise Inc
Insilico Medicine Inc.
IBM Corporation
AiCure LLC
Nuance Communications Inc.
Sensely Inc.
Sophia Genetics SA
NuMedii Inc.
Enlitic Inc.
Apixio Inc.
Zebra Medical Vision
twoXAR Inc.
GLOBAL MACHINE LEARNING IN THE LIFE SCIENCES MARKET, BY COMPONENT
Software
Services
GLOBAL MACHINE LEARNING IN THE LIFE SCIENCES MARKET, BY APPLICATION
Drug Discovery and Development
Precision Medicine
Genomics and Proteomics
Medical Imaging and Diagnostics
Clinical Research and Trials
GLOBAL MACHINE LEARNING IN THE LIFE SCIENCES MARKET, BY END USER
Pharmaceutical and Biotechnology Companies
Academic and Research Institutions
Healthcare Providers
Contract Research Organizations (CROs)
GLOBAL MACHINE LEARNING IN THE LIFE SCIENCES MARKET, BY REGION
North America
The U.S.
Canada
Europe
Germany
France
Italy
Spain
United Kingdom
Russia
Netherlands
Sweden
Poland
Rest of Europe
Asia Pacific
India
China
South Korea
Japan
Australia
Thailand
Indonesia
Philippines
Rest of APAC
Latin America
Brazil
Mexico
Argentina
Colombia
Rest of LATAM
The Middle East and Africa
Saudi Arabia
United Arab Emirates
Israel
Turkey
Algeria
Egypt
Rest of MEA
Table of Contents
1. Machine Learning in the Life Sciences Market Overview
1.1. Study Scope
1.2. Market Estimation Years
2. Executive Summary
2.1. Market Snippet
2.1.1. Machine Learning in the Life Sciences Market Snippet by Component
2.1.2. Machine Learning in the Life Sciences Market Snippet by Application
2.1.3. Machine Learning in the Life Sciences Market Snippet by End User
2.1.4. Machine Learning in the Life Sciences Market Snippet by Country
2.1.5. Machine Learning in the Life Sciences Market Snippet by Region
2.2. Competitive Insights
3. Machine Learning in the Life Sciences Key Market Trends
3.1. Machine Learning in the Life Sciences Market Drivers
3.1.1. Impact Analysis of Market Drivers
3.2. Machine Learning in the Life Sciences Market Restraints
3.2.1. Impact Analysis of Market Restraints
3.3. Machine Learning in the Life Sciences Market Opportunities
3.4. Machine Learning in the Life Sciences Market Future Trends
4. Machine Learning in the Life Sciences Industry Study
4.1. PEST Analysis
4.2. Porter's Five Forces Analysis
4.3. Growth Prospect Mapping
4.4. Regulatory Framework Analysis
5. Machine Learning in the Life Sciences Market: COVID-19 Impact Analysis
5.1. Pre-COVID-19 Impact Analysis
5.2. Post-COVID-19 Impact Analysis
5.2.1. Top Performing Segments
5.2.2. Marginal Growth Segments
5.2.3. Top Looser Segments
5.2.4. Marginal Loss Segments
6. Machine Learning in the Life Sciences Market Landscape
6.1. Machine Learning in the Life Sciences Market Share Analysis, 2022
6.2. Breakdown Data, by Key Manufacturer
6.2.1. Established Players' Analysis
6.2.2. Emerging Players' Analysis
7. Machine Learning in the Life Sciences Market - By Component
7.1. Overview
7.1.1. Segment Share Analysis, By Component, 2022 & 2030 (%)
7.1.2. Software
7.1.3. Services
8. Machine Learning in the Life Sciences Market - By Application
8.1. Overview
8.1.1. Segment Share Analysis, By Application, 2022 & 2030 (%)
8.1.2. Drug Discovery and Development
8.1.3. Precision Medicine
8.1.4. Genomics and Proteomics
8.1.5. Medical Imaging and Diagnostics
8.1.6. Clinical Research and Trials
9. Machine Learning in the Life Sciences Market - By End User
9.1. Overview
9.1.1. Segment Share Analysis, By End User, 2022 & 2030 (%)
9.1.2. Pharmaceutical and Biotechnology Companies
9.1.3. Academic and Research Institutions
9.1.4. Healthcare Providers
9.1.5. Contract Research Organizations (CROs)
10. Machine Learning in the Life Sciences Market- By Geography
10.1. Introduction
10.1.1. Segment Share Analysis, By Geography, 2022 & 2030 (%)
10.2. North America
10.2.1. Overview
10.2.2. Machine Learning in the Life Sciences Key Manufacturers in North America
10.2.3. North America Market Size and Forecast, By Country, 2018 - 2030 (US$ Million)
10.2.4. North America Market Size and Forecast, By Component, 2018 - 2030 (US$ Million)
10.2.5. North America Market Size and Forecast, By Application, 2018 - 2030 (US$ Million)
10.2.6. North America Market Size and Forecast, By End User, 2018 - 2030 (US$ Million)
