This report was recently updated on November 18 2024 with the latest and most recent
market numbers
Global High-performance Computing for Life Sciences Market Size, Trends & Analysis - Forecasts to 2029 By End User (Pharmaceutical and Biotechnology Companies, Academic and Research Institutions, Contract Research Organizations (CROs), Hospitals and Clinics, and Others), By Application Type (Drug Discovery and Development, Genomic Analysis, Proteomics, Bioinformatics, and Others), By Component Type (Hardware, Software, and Services), and By Region (North America, Asia Pacific, Central and South America, Europe, and Middle East and Africa), Competitive Landscape, Company Market Share Analysis, and End User Analysis
The global high-performance computing for life sciences market is expected to exhibit a CAGR of 12.5% from 2024 to 2029.
Several market drivers influence the growth of global high-performance computing for life sciences market. The exponential rise of biological data, such as genomics, proteomics, and other omics data, needs high-performance computing to manage, analyze, and decipher these large datasets. The complexity and volume of data created by current life sciences research outstrip the capability of traditional computer systems, making HPC an indispensable tool for bioinformatics and biological computation. The process of discovering and developing drugs is known for being both expensive and lengthy, with a notable probability of unsuccessful outcomes. High-performance computing (HPC) can play a pivotal role in diminishing both the duration and financial burden of this process. It achieves this by facilitating more precise simulations and modeling of how drugs interact on a molecular scale. This improvement in accuracy speeds up the process of pinpointing viable drug candidates and fine-tuning their compositions, thereby streamlining the drug development workflow. Swift progress in high-performance computing (HPC) technologies, encompassing enhancements in computational capacity, storage solutions, and the availability of HPC resources over the cloud, has rendered HPC more attainable and financially viable for entities engaged in the life sciences. Such technological progressions have facilitated a broader utilization of HPC across various research and development endeavours within the life sciences domain.
Despite the promising growth prospects, the global high-performance computing for life sciences market faces certain restraints that hinder its growth. Integrating HPC solutions into existing life sciences workflows can be complex and time-consuming. The specialized nature of life sciences research demands customized HPC configurations, which may pose integration challenges, leading to delays in project timelines. Life sciences research involves handling sensitive and confidential data, including patient information and genomic data. Meeting the stringent data security and privacy requirements can be a significant hurdle, as researchers and organizations must ensure compliance with regulatory frameworks, leading to potential limitations in data sharing and collaboration.
Based on the end user, the market is segmented into pharmaceutical and biotechnology companies, academic and research institutions, contract research organizations (CROs), hospitals and clinics, and others. The pharmaceutical and biotechnology companies segment is expected to be the largest segment during the forecast period. This is due to their significant R&D investments, data-intensive workloads, and regulatory support. These companies use HPC for drug discovery, genomic analysis, personalized medicine, and simulations and modeling to expedite regulatory submissions. This dominance is driven by the need for faster drug approval processes and the need for sophisticated computational analysis.
The academic and research institutions segment is expected to be the fastest-growing segment in the global high-performance computing for life sciences market due to increased funding for academic research in genomics, proteomics, and personalized medicine, as well as accessibility improvements through cloud computing and national supercomputing centers. These collaborations often leverage HPC resources for complex computational tasks, facilitating the adoption of HPC solutions in the field.
On the basis of application type, the market is segmented into drug discovery and development, genomic analysis, proteomics, bioinformatics, and others. The genomic analysis segment is expected to be the largest during the forecast period. The substantial computational power necessary for processing, analyzing, and storing the extensive data produced by genomic sequencing is driven by the emphasis on personalized medicine, efforts to comprehend genetic disorders, and the declining costs associated with genomic sequencing. These factors collectively contribute to the significant market presence of the genomic analysis segment. This field's established foundation and ongoing growth ensure its substantial stake in the HPC for life sciences market.
The drug discovery and development segment is expected to be the fastest-growing segment in the global high-performance computing for life sciences market during the forecast period. The integration of artificial intelligence (AI) and machine learning (ML) with HPC is revolutionizing drug discovery processes. These technologies enable the rapid screening of vast chemical libraries, prediction of compound behaviour, and simulation of drug interactions at an unprecedented scale and speed. The urgency to shorten drug development timelines, as highlighted by the COVID-19 pandemic, further accelerates investments and technological advancements in this area.
Based on component type, the market is segmented into hardware, software, and services. The hardware segment is expected to be the largest segment of the market over the forecast period. The primary necessity for high-performance computing lies in the significant financial outlay for physical infrastructure, encompassing servers, processors, storage solutions, and networking gear. The need for robust hardware capable of handling vast datasets, executing intricate simulations, and facilitating AI and machine learning tasks in life sciences research has notably propelled expansion in this area.
The services segment is expected to be the fastest-growing segment in the global high-performance computing for life sciences market during the forecast period. This is due to the complexity of HPC systems, the shift towards cloud-based solutions, and the need for specialized services. Cloud providers offer HPC as a service, allowing researchers to access computational resources on-demand without significant upfront investment. The specialized nature of life sciences research requires tailored solutions, and service providers play a crucial role in customizing environments. The shortage of skilled professionals in HPC for life sciences necessitates training and educational services.
North America is expected to be the region with the largest share of the global high-performance computing for life sciences market during the forecast period. North America hosts some of the world's most renowned research institutions, universities, and biotechnology companies. These entities possess advanced laboratory and high-performance computing resources, enabling them to conduct pioneering studies in proteomics, genomics, personalized healthcare, and drug discovery.
Asia Pacific is expected to be the fastest-growing region in the global high-performance computing for life sciences market during the forecast period. APAC countries have witnessed a growing trend of collaboration between academic institutions, research organizations, and industry players. This collaborative approach fosters the exchange of expertise and resources, driving the need for advanced computational capabilities provided by HPC systems. The increasing focus on healthcare and biotechnology in the APAC region has led to investments in modernizing healthcare infrastructure. HPC plays a pivotal role in areas such as personalized medicine, leading to a higher demand for computational resources to analyze and process vast datasets. Several APAC governments have recognized the strategic importance of HPC in advancing scientific research and maintaining competitiveness. As a result, there have been targeted investments and supportive policies to promote the adoption of HPC technologies across various sectors, including life sciences. Efforts to raise awareness about the benefits of HPC in life sciences and the ongoing development of skilled professionals in the region contribute to the accelerated adoption of HPC solutions.
Global High-performance Computing for Life Sciences Market Share and Competitor Analysis
HP Enterprise, AWS Inc., Advanced Clustering Technologies, Rescale, IBM Corp., Alibaba Cloud, Dell, NVIDIA Corp., BIO-HPC, and Microsoft Azure, among others, are some of the key players operating in the global market.
Please note: This is not an exhaustive list of companies profiled in the report.
In February 2024, Quantum Corporation acquired XENON Systems, a leading high-performance computing and data storage specialist, for their Quantum Myriad software platform. This acquisition aims to provide comprehensive end-to-end data management solutions for AI models and multi-variant simulations across various industries, including life sciences.
In November 2023, Quantum software pioneer Classiq unveiled a new industry initiative, the Quantum Computing for Life Sciences & Healthcare Center, formed in collaboration with NVIDIA and the Tel Aviv Sourasky Medical Center. The initiative will support the development and implementation of quantum algorithms and applications, targeting their transformative potential in life sciences and healthcare.
1 STRATEGIC INSIGHTS ON NEW REVENUE POCKETS
1.1 Strategic Opportunity & Attractiveness Analysis
1.1.1 Hot Revenue Pockets
1.1.2 Market Attractiveness Score
1.1.3 Revenue Impacting Opportunity
1.1.4 High Growing Region/Country
1.1.5 Competitor Analysis
1.1.6 Consumer Analysis
1.2 Global Market Estimates' View
1.3 Strategic Insights across Business Functions
1.3.1 For Chief Executive Officers
1.3.2 For Chief Marketing Officers
1.3.3 For Chief Strategy Officers
1.4 Evaluate the Potential of your Existing Business Lines vs. New Lines to Enter Into
2 TECHNOLOGICAL TRENDS
2.1 Technological Adoption Rate
2.2 Current Trend Impact Analysis
2.3 Future Trend Impact Analysis
3.1 Market Pyramid Analysis
3.1.1 Introduction
3.1.2 Adjacent Market Opportunities
3.1.3 Ancillary Market Opportunities
3.2 Demand Side Analysis
3.2.1 Market Drivers: Impact Analysis
3.2.2 Market Restraints: Impact Analysis
3.2.3 Market Opportunities: Impact Analysis
3.2.4 Market Challenges: Impact Analysis
3.3 Supply Side Analysis
3.3.1 Porter’s Five Forces Analysis
3.3.1.1 Threat of New Entrants
3.3.1.2 Threat of New Substitutes
3.3.1.3 Bargaining Power of Suppliers
3.3.1.4 Bargaining Power of Buyers
3.3.1.5 Intensity of Competitive Rivalry
3.3.2 SWOT Analysis; By Factor (Political & Legal, Economic, and Technological)
3.3.2.1 Political Landscape
3.3.2.2 Economic Landscape
3.3.2.3 Social Landscape
3.3.2.4 Technology Landscape
3.3.3 Value Chain Analysis
3.3.4 Trend Analysis
3.3.5 Gap Analysis
3.3.6 Cost Analysis
4 GLOBAL HIGH-PERFORMANCE COMPUTING FOR LIFE SCIENCES MARKET, BY COMPONENT TYPE
4.1 Introduction
4.2 High-performance Computing for Life Sciences Market: Component Type Scope Key Takeaways
4.3 Revenue Growth Analysis, 2023 & 2029
4.4 Hardware
4.4.1 Hardware Market Estimates and Forecast, 2021-2029 (USD Billion)
4.5 Software
4.5.1 Software Market Estimates and Forecast, 2021-2029 (USD Billion)
4.6 Services
4.6.1 Services Market Estimates and Forecast, 2021-2029 (USD Billion)
5 GLOBAL HIGH-PERFORMANCE COMPUTING FOR LIFE SCIENCES MARKET, BY APPLICATION TYPE
5.1 Introduction
5.2 High-performance Computing for Life Sciences Market: Application Type Scope Key Takeaways
5.3 Revenue Growth Analysis, 2023 & 2029
5.4 Drug Discovery and Development
5.4.1 Drug Discovery and Development Market Estimates and Forecast, 2021-2029 (USD Billion)
5.5 Genomic Analysis
5.5.1 Genomic Analysis Market Estimates and Forecast, 2021-2029 (USD Billion)
5.6 Proteomics
5.6.1 Proteomics Market Estimates and Forecast, 2021-2029 (USD Billion)
5.7 Bioinformatics
5.7.1 Bioinformatics Market Estimates and Forecast, 2021-2029 (USD Billion)
5.8 Others
5.8.1 Others Market Estimates and Forecast, 2021-2029 (USD Billion)
6 GLOBAL HIGH-PERFORMANCE COMPUTING FOR LIFE SCIENCES MARKET, BY END USER
6.1 Introduction
6.2 High-performance Computing for Life Sciences Market: End User Scope Key Takeaways
6.3 Revenue Growth Analysis, 2023 & 2029
6.4 Pharmaceutical and Biotechnology Companies
6.4.1 Pharmaceutical and Biotechnology Companies Market Estimates and Forecast, 2021-2029 (USD Billion)
6.5 Contract Research Organizations (CROs)
6.5.1 Contract Research Organizations (CROs) Market Estimates and Forecast, 2021-2029 (USD Billion)
6.6 Hospitals and Clinics
6.6.1 Hospitals and Clinics Market Estimates and Forecast, 2021-2029 (USD Billion)
6.7 Academic and Research Institutions
6.7.1 Academic and Research Institutions Market Estimates and Forecast, 2021-2029 (USD Billion)
6.8 Others
6.8.1 Others Market Estimates and Forecast, 2021-2029 (USD Billion)
7 GLOBAL HIGH-PERFORMANCE COMPUTING FOR LIFE SCIENCES MARKET, BY REGION
7.1 Introduction
7.2 North America High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.2.1 By Component Type
7.2.2 By Application Type
7.2.3 By End User
7.2.4 By Country
7.2.4.1 U.S. High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.2.4.1.1 By Component Type
7.2.4.1.2 By Application Type
7.2.4.1.3 By End User
7.2.4.2 Canada High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.2.4.2.1 By Component Type
7.2.4.2.2 By Application Type
7.2.4.2.3 By End User
7.2.4.3 Mexico High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.2.4.3.1 By Component Type
7.2.4.3.2 By Application Type
7.2.4.3.3 By End User
7.3 Europe High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.3.1 By Component Type
7.3.2 By Application Type
7.3.3 By End User
7.3.4 By Country
7.3.4.1 Germany High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.3.4.1.1 By Component Type
7.3.4.1.2 By Application Type
7.3.4.1.3 By End User
7.3.4.2 U.K. High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.3.4.2.1 By Component Type
7.3.4.2.2 By Application Type
7.3.4.2.3 By End User
7.3.4.3 France High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.3.4.3.1 By Component Type
7.3.4.3.2 By Application Type
7.3.4.3.3 By End User
7.3.4.4 Italy High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.3.4.4.1 By Component Type
7.3.4.4.2 By Application Type
7.2.4.4.3 By End User
7.3.4.5 Spain High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.3.4.5.1 By Component Type
7.3.4.5.2 By Application Type
7.2.4.5.3 By End User
7.3.4.6 Netherlands High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.3.4.7.1 By Component Type
7.3.4.7.2 By Application Type
7.2.4.7.3 By End User
7.3.4.7 Rest of Europe High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.3.4.7.1 By Component Type
7.3.4.7.2 By Application Type
7.2.4.7.3 By End User
7.4 Asia Pacific High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.4.1 By Component Type
7.4.2 By Application Type
7.4.3 By End User
7.4.4 By Country
7.4.4.1 China High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.4.4.1.1 By Component Type
7.4.4.1.2 By Application Type
7.4.4.1.3 By End User
7.4.4.2 Japan High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.4.4.2.1 By Component Type
7.4.4.2.2 By Application Type
7.4.4.2.3 By End User
7.4.4.3 India High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.4.4.3.1 By Component Type
7.4.4.3.2 By Application Type
7.4.4.3.3 By End User
7.4.4.4 South Korea High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.4.4.4.1 By Component Type
7.4.4.4.2 By Application Type
7.4.4.4.3 By End User
7.4.4.5 Singapore High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.4.4.5.1 By Component Type
7.4.4.5.2 By Application Type
7.4.4.5.3 By End User
7.4.4.6 Malaysia High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.4.4.7.1 By Component Type
7.4.4.7.2 By Application Type
7.4.4.7.3 By End User
7.4.4.7 Thailand High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.4.4.7.1 By Component Type
7.4.4.7.2 By Application Type
7.4.4.7.3 By End User
7.4.4.8 Indonesia High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.4.4.8.1 By Component Type
7.4.4.8.2 By Application Type
7.4.4.8.3 By End User
7.4.4.9 Vietnam High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.4.4.9.1 By Component Type
7.4.4.9.2 By Application Type
7.4.4.9.3 By End User
7.4.4.10 Taiwan High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.4.4.10.1 By Component Type
7.4.4.10.2 By Application Type
7.4.4.10.3 By End User
7.4.4.11 Rest of Asia Pacific High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.4.4.11.1 By Component Type
7.4.4.11.2 By Application Type
7.4.4.11.3 By End User
7.5 Middle East and Africa High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.5.1 By Component Type
7.5.2 By Application Type
7.5.3 By End User
7.5.4 By Country
7.5.4.1 Saudi Arabia High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.5.4.1.1 By Component Type
7.5.4.1.2 By Application Type
7.5.4.1.3 By End User
7.5.4.2 U.A.E. High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.5.4.2.1 By Component Type
7.5.4.2.2 By Application Type
7.5.4.2.3 By End User
7.5.4.3 Israel High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.5.4.3.1 By Component Type
7.5.4.3.2 By Application Type
7.5.4.3.3 By End User
7.5.4.4 South Africa High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.5.4.4.1 By Component Type
7.5.4.4.2 By Application Type
7.5.4.4.3 By End User
7.5.4.5 Rest of Middle East and Africa High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.5.4.5.1 By Component Type
7.5.4.5.2 By Application Type
7.5.4.5.2 By End User
7.6 Central and South America High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.7.1 By Component Type
7.7.2 By Application Type
7.7.3 By End User
7.7.4 By Country
7.7.4.1 Brazil High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.7.4.1.1 By Component Type
7.7.4.1.2 By Application Type
7.7.4.1.3 By End User
7.7.4.2 Argentina High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.7.4.2.1 By Component Type
7.7.4.2.2 By Application Type
7.7.4.2.3 By End User
7.7.4.3 Chile High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.7.4.3.1 By Component Type
7.7.4.3.2 By Application Type
7.7.4.3.3 By End User
7.7.4.4 Rest of Central and South America High-performance Computing for Life Sciences Market Estimates and Forecast, 2021-2029 (USD Billion)
7.7.4.4.1 By Component Type
7.7.4.4.2 By Application Type
7.7.4.4.3 By End User
8 COMPETITIVE LANDCAPE
8.1 Company Market Share Analysis
8.2 Four Quadrant Positioning Matrix
8.2.1 Market Leaders
8.2.2 Market Visionaries
8.2.3 Market Challengers
8.2.4 Niche Market Players
8.3 Vendor Landscape
8.3.1 North America
8.3.2 Europe
8.3.3 Asia Pacific
8.3.4 Rest of the World
8.4 Company Profiles
8.4.1 IBM Corp.
8.4.1.1 Business Description & Financial Analysis
8.4.1.2 SWOT Analysis
8.4.1.3 Products & Services Offered
8.4.1.4 Strategic Alliances between Business Partners
8.4.2 HP Enterprise
8.4.2.1 Business Description & Financial Analysis
8.4.2.2 SWOT Analysis
8.4.2.3 Products & Services Offered
8.4.2.4 Strategic Alliances between Business Partners
8.4.3 Advanced Clustering Technologies
8.4.3.1 Business Description & Financial Analysis
8.4.3.2 SWOT Analysis
8.4.3.3 Products & Services Offered
8.4.3.4 Strategic Alliances between Business Partners
8.4.4 AWS Inc.
8.4.4.1 Business Description & Financial Analysis
8.4.4.2 SWOT Analysis
8.4.4.3 Products & Services Offered
8.4.4.4 Strategic Alliances between Business Partners
8.4.5 Rescale
8.4.5.1 Business Description & Financial Analysis
8.4.5.2 SWOT Analysis
8.4.5.3 Products & Services Offered
8.4.5.4 Strategic Alliances between Business Partners
8.4.6 Alibaba Cloud
8.4.7.1 Business Description & Financial Analysis
8.4.7.2 SWOT Analysis
8.4.7.3 Products & Services Offered
8.4.7.4 Strategic Alliances between Business Partners
8.4.7 Dell
8.4.7.1 Business Description & Financial Analysis
8.4.7.2 SWOT Analysis
8.4.7.3 Products & Services Offered
8.4.8.4 Strategic Alliances between Business Partners
8.4.8 NVIDIA Corp.
8.4.8.1 Business Description & Financial Analysis
8.4.8.2 SWOT Analysis
8.4.8.3 Products & Services Offered
8.4.8.4 Strategic Alliances between Business Partners
8.4.9 BIO-HPC
8.4.9.1 Business Description & Financial Analysis
8.4.9.2 SWOT Analysis
8.4.9.3 Products & Services Offered
8.4.9.4 Strategic Alliances between Business Partners
8.4.10 Microsoft Azure
8.4.10.1 Business Description & Financial Analysis
8.4.10.2 SWOT Analysis
8.4.10.3 Products & Services Offered
8.4.10.4 Strategic Alliances between Business Partners
8.4.11 Other Companies
8.4.11.1 Business Description & Financial Analysis
8.4.11.2 SWOT Analysis
8.4.11.3 Products & Services Offered
8.4.11.4 Strategic Alliances between Business Partners
9 RESEARCH OFFERINGOLOGY
9.1 Market Introduction
9.1.1 Market Definition
9.1.2 Market Scope & Segmentation
9.2 Information Procurement
9.2.1 Secondary Research
9.2.1.1 Purchased Databases
9.2.1.2 GMEs Internal Data Repository
9.2.1.3 Secondary Resources & Third Party Perspectives
9.2.1.4 Company Information Sources
9.2.2 Primary Research
9.2.2.1 Various Types of Respondents for Primary Interviews
9.2.2.2 Number of Interviews Conducted throughout the Research Process
9.2.2.3 Primary Stakeholders
9.2.2.4 Discussion Guide for Primary Participants
9.2.3 Expert Panels
9.2.3.1 Expert Panels Across 30+ Industry
9.2.4 Paid Local Experts
9.2.4.1 Paid Local Experts Across 30+ Industry Across each Region
9.3 Market Estimation
9.3.1 Top-Down Approach
9.3.1.1 Macro-Economic Indicators Considered
9.3.1.2 Micro-Economic Indicators Considered
9.3.2 Bottom Up Approach
9.3.2.1 Company Share Analysis Approach
9.3.2.2 Estimation of Potential Product Sales
9.4 Data Triangulation
9.4.1 Data Collection
9.4.2 Time Series, Cross Sectional & Panel Data Analysis
9.4.3 Cluster Analysis
9.5 Analysis and Output
9.5.1 Inhouse AI Based Real Time Analytics Tool
9.5.2 Output From Desk & Primary Research
9.6 Research Assumptions & Limitations
9.7.1 Research Assumptions
9.7.2 Research Limitations
LIST OF TABLES
1 Global High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
2 Hardware Market, By Region, 2021-2029 (USD Billion)
3 Software Market, By Region, 2021-2029 (USD Billion)
4 Services Market, By Region, 2021-2029 (USD Billion)
5 Global High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
6 Drug Discovery and Development Market, By Region, 2021-2029 (USD Billion)
7 Genomic Analysis Market, By Region, 2021-2029 (USD Billion)
8 Proteomics Market, By Region, 2021-2029 (USD Billion)
9 Bioinformatics Market, By Region, 2021-2029 (USD Billion)
10 Others Market, By Region, 2021-2029 (USD Billion)
11 Global High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
12 Pharmaceutical and Biotechnology Companies Market, By Region, 2021-2029 (USD Billion)
13 Contract Research Organizations (CROs) Market, By Region, 2021-2029 (USD Billion)
14 Hospitals and Clinics Market, By Region, 2021-2029 (USD Billion)
15 Academic and Research Institutions Market, By Region, 2021-2029 (USD Billion)
16 Others Market, By Region, 2021-2029 (USD Billion)
17 Regional Analysis, 2021-2029 (USD Billion)
18 North America High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
19 North America High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
20 North America High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
21 North America High-performance Computing for Life Sciences Market, By Country, 2021-2029 (USD Billion)
22 U.S. High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
23 U.S. High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
24 U.S. High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
25 Canada High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
26 Canada High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
27 Canada High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
28 Mexico High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
29 Mexico High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
30 Mexico High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
31 Europe High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
32 Europe High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
33 Europe High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
34 EUROPE High-performance Computing for Life Sciences Market, By Country, 2021-2029 (USD Billion)
35 Germany High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
36 Germany High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
37 Germany High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
38 U.K. High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
39 U.K. High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
40 U.K. High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
41 France High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
42 France High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
43 France High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
44 Italy High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
45 Italy High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
46 Italy High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
47 Spain High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
48 Spain High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
49 Spain High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
50 Netherland High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
51 Netherland High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
52 Netherland High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
53 Rest Of Europe High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
54 Rest Of Europe High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
55 Rest of Europe High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
56 Asia Pacific High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
57 Asia Pacific High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
58 Asia Pacific High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
59 Asia Pacific High-performance Computing for Life Sciences Market, By Country, 2021-2029 (USD Billion)
60 China High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
61 China High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
62 China High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
63 India High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
64 India High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
65 India High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
66 Japan High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
67 Japan High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
68 Japan High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
69 South Korea High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
70 South Korea High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
71 South Korea High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
72 Australia High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
73 Australia High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
74 Australia High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
75 Thailand High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
76 Thailand High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
77 Thailand High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
78 Vietnam High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
79 Vietnam High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
80 Vietnam High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
81 indonesia High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
82 indonesia High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
83 indonesia High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
84 Malaysia High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
85 Malaysia High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
86 Malaysia High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
87 Philippines High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
88 Philippines High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
89 Philippines High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
90 Singapore High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
91 Singapore High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
92 Singapore High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
93 Rest of APAC High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
94 Rest of APAC High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
95 Rest of APAC High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
96 Middle East and Africa High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
97 Middle East and Africa High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
98 Middle East and Africa High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
99 Middle East and Africa High-performance Computing for Life Sciences Market, By Country, 2021-2029 (USD Billion)
100 Saudi Arabia High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
101 Saudi Arabia High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
102 Saudi Arabia High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
103 UAE High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
104 UAE High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
105 UAE High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
106 South Africa High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
107 South Africa High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
108 South Africa High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
109 Israel High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
110 Israel High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
111 Israel High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
112 Rest of Middle East and Africa High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
113 Rest of Middle East and Africa High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
114 Rest of Middle East and Africa High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
115 Central and South America High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
116 Central and South America High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
117 Central and South America High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
118 Central and South America High-performance Computing for Life Sciences Market, By Country, 2021-2029 (USD Billion)
119 Brazil High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
120 Brazil High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
121 Brazil High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
122 Argentina High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
123 Argentina High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
124 Argentina High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
125 Chile High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
126 Chile High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
127 Chile High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
128 Rest of Central and South America High-performance Computing for Life Sciences Market, By Component Type, 2021-2029 (USD Billion)
129 Rest of Central and South America High-performance Computing for Life Sciences Market, By Application Type, 2021-2029 (USD Billion)
130 Rest of Central and South America High-performance Computing for Life Sciences Market, By End User, 2021-2029 (USD Billion)
131 IBM Corp.: Products & Services Offering
132 HP Enterprise: Products & Services Offering
133 Advanced Clustering Technologies: Products & Services Offering
134 AWS Inc.: Products & Services Offering
135 Rescale: Products & Services Offering
136 ALIBABA CLOUD: Products & Services Offering
137 Dell : Products & Services Offering
138 NVIDIA Corp.: Products & Services Offering
139 BIO-HPC: Products & Services Offering
140 Microsoft Azure: Products & Services Offering
141 Other Companies: Products & Services Offering
LIST OF FIGURES
1 Global High-performance Computing for Life Sciences Market Overview
2 Global High-performance Computing for Life Sciences Market Value From 2021-2029 (USD Billion)
3 Global High-performance Computing for Life Sciences Market Share, By Component Type (2023)
4 Global High-performance Computing for Life Sciences Market Share, By Application Type (2023)
5 Global High-performance Computing for Life Sciences Market Share, By End User (2023)
6 Global High-performance Computing for Life Sciences Market, By Region (Asia Pacific Market)
7 Technological Trends In Global High-performance Computing for Life Sciences Market
8 Four Quadrant Competitor Positioning Matrix
9 Impact Of Macro & Micro Indicators On The Market
10 Impact Of Key Drivers On The Global High-performance Computing for Life Sciences Market
11 Impact Of Challenges On The Global High-performance Computing for Life Sciences Market
12 Porter’s Five Forces Analysis
13 Global High-performance Computing for Life Sciences Market: By Component Type Scope Key Takeaways
14 Global High-performance Computing for Life Sciences Market, By Component Type Segment: Revenue Growth Analysis
15 Hardware Market, By Region, 2021-2029 (USD Billion)
16 Software Market, By Region, 2021-2029 (USD Billion)
17 Services Market, By Region, 2021-2029 (USD Billion)
18 Global High-performance Computing for Life Sciences Market: By Application Type Scope Key Takeaways
19 Global High-performance Computing for Life Sciences Market, By Application Type Segment: Revenue Growth Analysis
20 Drug Discovery and Development Market, By Region, 2021-2029 (USD Billion)
21 Genomic Analysis Market, By Region, 2021-2029 (USD Billion)
22 Proteomics Market, By Region, 2021-2029 (USD Billion)
23 Bioinformatics Market, By Region, 2021-2029 (USD Billion)
24 Others Market, By Region, 2021-2029 (USD Billion)
25 Global High-performance Computing for Life Sciences Market: By End User Scope Key Takeaways
26 Global High-performance Computing for Life Sciences Market, By End User Segment: Revenue Growth Analysis
27 Pharmaceutical and Biotechnology Companies Market, By Region, 2021-2029 (USD Billion)
28 Contract Research Organizations (CROs) Market, By Region, 2021-2029 (USD Billion)
29 Hospitals and Clinics Market, By Region, 2021-2029 (USD Billion)
30 Academic and Research Institutions Market, By Region, 2021-2029 (USD Billion)
31 Others Market, By Region, 2021-2029 (USD Billion)
32 Regional Segment: Revenue Growth Analysis
33 Global High-performance Computing for Life Sciences Market: Regional Analysis
34 North America High-performance Computing for Life Sciences Market Overview
35 North America High-performance Computing for Life Sciences Market, By Component Type
36 North America High-performance Computing for Life Sciences Market, By Application Type
37 North America High-performance Computing for Life Sciences Market, By End User
38 North America High-performance Computing for Life Sciences Market, By Country
39 U.S. High-performance Computing for Life Sciences Market, By Component Type
40 U.S. High-performance Computing for Life Sciences Market, By Application Type
41 U.S. High-performance Computing for Life Sciences Market, By End User
42 Canada High-performance Computing for Life Sciences Market, By Component Type
43 Canada High-performance Computing for Life Sciences Market, By Application Type
44 Canada High-performance Computing for Life Sciences Market, By End User
45 Mexico High-performance Computing for Life Sciences Market, By Component Type
46 Mexico High-performance Computing for Life Sciences Market, By Application Type
47 Mexico High-performance Computing for Life Sciences Market, By End User
48 Four Quadrant Positioning Matrix
49 Company Market Share Analysis
50 IBM Corp.: Company Snapshot
51 IBM Corp.: SWOT Analysis
52 IBM Corp.: Geographic Presence
53 HP Enterprise: Company Snapshot
54 HP Enterprise: SWOT Analysis
55 HP Enterprise: Geographic Presence
56 Advanced Clustering Technologies: Company Snapshot
57 Advanced Clustering Technologies: SWOT Analysis
58 Advanced Clustering Technologies: Geographic Presence
59 AWS Inc.: Company Snapshot
60 AWS Inc.: Swot Analysis
61 AWS Inc.: Geographic Presence
62 Rescale: Company Snapshot
63 Rescale: SWOT Analysis
64 Rescale: Geographic Presence
65 Alibaba Cloud: Company Snapshot
66 Alibaba Cloud: SWOT Analysis
67 Alibaba Cloud: Geographic Presence
68 Dell : Company Snapshot
69 Dell : SWOT Analysis
70 Dell : Geographic Presence
71 NVIDIA Corp.: Company Snapshot
72 NVIDIA Corp.: SWOT Analysis
73 NVIDIA Corp.: Geographic Presence
74 BIO-HPC: Company Snapshot
75 BIO-HPC: SWOT Analysis
76 BIO-HPC: Geographic Presence
77 Microsoft Azure: Company Snapshot
78 Microsoft Azure: SWOT Analysis
79 Microsoft Azure: Geographic Presence
80 Other Companies: Company Snapshot
81 Other Companies: SWOT Analysis
82 Other Companies: Geographic Presence
The Global High-performance Computing for Life Sciences Market has been studied from the year 2019 till 2029. However, the CAGR provided in the report is from the year 2024 to 2029. The research methodology involved three stages: Desk research, Primary research, and Analysis & Output from the entire research process.
The desk research involved a robust background study which meant referring to paid and unpaid databases to understand the market dynamics; mapping contracts from press releases; identifying the key players in the market, studying their product portfolio, competition level, annual reports/SEC filings & investor presentations; and learning the demand and supply-side analysis for the High-performance Computing for Life Sciences Market.
The primary research activity included telephonic conversations with more than 50 tier 1 industry consultants, distributors, and end-use product manufacturers.
Finally, based on the above thorough research process, an in-depth analysis was carried out considering the following aspects: market attractiveness, current & future market trends, market share analysis, SWOT analysis of the company and customer analytics.
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