Close Lucintel Chat
Didn't Find What You're Looking for?
Call us at +1972 636 5056 or write at helpdesk@Lucintel.com
Ask an Expert Provide Custom Requirements Download Sample Report Search Available Reports
  • helpdesk@Lucintel.com
  • |
  • Call Lucintel +1 972 636 5056
  • |
  • Login
  • |
  • Register
  • |
  • Search
  • |
'
...

The Impact of COVID-19 is included in Cloud Computing In Cell Biology. Buy it today to get an advantage.

Request the impact of COVID-19 on your product or industry


The future of the global cloud computing in cell biology, genomics, and drug development market looks promising with opportunities in discovery & preclinical research, clinical trial, pharma manufacturing, commercialization, and plant & microbial gene analyses applications. Cloud computing in the global cell biology, genomic, and drug development market is expected to grow with a CAGR of 22%-24% from 2020 to 2025. The major drivers for this market are rising research activities related to genomics, increasing prevalence of cancer, and growing focus on genomics for drug discovery.

A total of XX figures / charts and XX tables are provided in this more than 150-pages report to help in your business decisions. Sample figures with some insights are shown below. To learn the scope, benefits, companies researched, and other details of the global cloud computing in cell biology, genomics, and drug development market report, please download the report brochure.

 
Cloud Computing In Cell Biology Market by Branch of Biology, Development Type, Application and End User

 
 
In this market, discovery & preclinical research is the largest application of cloud computing in cell biology, genomics, and drug development, whereas pharceutical and biotechnology companies is the largest end user. Growth in various segments of the of cloud computing in cell biology, genomics, and drug development market are given below:

 
Cloud Computing In Cell Biology Market by Segments
 

The study includes trends and forecast for the global cloud computing in cell biology, genomics, and drug development market by branch of biology, development type, application, end user, and region as follows:
 
By Branch of Biology [Value ($ Million) shipment analysis for 2014 – 2025]:
  • Plant Biology
  • Animal Biology
  • Human Biology
  • Microbiology

By Development Type [Value ($ Million) shipment analysis for 2014 – 2025]:
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

By Application [Value ($ Million) shipment analysis for 2014 – 2025]: 
  • Discovery and Preclinical Research
    • Genomics
    • Diagnostics
    • Others
  • Clinical Trials
  • Pharma Manufacturing
  • Commercialization
  • Plant and Microbial Gene Analyses
By End User [Value ($ Million) shipment analysis for 2014 – 2025]: 
  • Pharmaceutical and Biotechnology Companies
  • Contract Research Organizations
  • Clinical Laboratories
  • Others

By Region [Value ($ Million) shipment analysis for 2014 – 2025]:
  • North America
    • United States
    • Canada 
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
  • Asia Pacific
    • China
    • India
    • Japan
  • The Rest of the World
    • Brazil
 

Some of the cloud computing companies profiled in this report include Google, Amazon Web Services, IBM, Oracle, Microsoft, Cisco Systems, DXC Technology, Salesforce, and SAP.

Lucintel forecasts that discovery & preclinical research will remain the largest application segment over the forecast period due to rising demand for genomics and increasing cancer diagnosis.

Within this market, pharmaceutical and biotechnology companies will remain the largest end user segment over the forecast period due to increasing usage of genomics for research and development of new drugs and increasing prevalance of cancer.

North America will remain the largest region over the forecast period due to increasing investment in research activities related to genomics, rising prevalance of chronic diseases, and presence of advanced healthcare infrastructure in the region. 


 
Features of the Global Cloud Computing in Cell Biology, Genomics, and Drug Development Market
  • Market Size Estimates: Global cloud computing in cell biology, genomics, and drug development market size estimation in terms of value ($M) shipment.
  • Trend and Forecast Analysis: Market trends (2014-2019) and forecast (2020-2025) by various segments.
  • Segmentation Analysis: Global cloud computing in cell biology, genomics, and drug development market size by various segments, such as branch of biology, development type, application, and end user in terms of value.
  • Regional Analysis: Global cloud computing in cell biology, genomics, and drug development market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
  • Growth Opportunities: Analysis of growth opportunities in different branch of biology, development type, application, end user, and region for the global cloud computing in cell biology, genomics, and drug development market.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape of the global cloud computing in cell biology, genomics, and drug development market.
  • Analysis of competitive intensity of the industry based on Porter’s Five Forces model.



 
This report answers following key questions
 
Q.1 What are some of the most promising potential, high-growth opportunities for the global cloud computing in cell biology, genomics, and drug development market by branch of biology (plant biology, animal biology, human biology, and microbiology), development type (public cloud, private cloud, and hybrid cloud), application (discovery & preclinical research (genomics, diagnostics, and others), clinical trials, pharma manufacturing, commercialization, and plant & microbial gene analyses), end user (pharmaceutical & biotechnology companies, contract research organizations, clinical laboratories, and others), and region (North America, Europe, Asia Pacific, and Rest of the World)?
Q.2 Which segments will grow at a faster pace and why?
Q.3 Which region will grow at a faster pace and why?
Q.4 What are the key factors affecting market dynamics? What are the drivers and challenges of the global cloud computing in cell biology, genomics, and drug development market?
Q.5 What are the business risks and threats to the global cloud computing in cell biology, genomics, and drug development market?
Q.6 What are the emerging trends in this cloud computing in cell biology, genomics, and drug development market and the reasons behind them?
Q.7 What are some changing demands of customers in this cloud computing in cell biology, genomics, and drug development market?
Q.8 What are the new developments in this cloud computing in cell biology, genomics, and drug development market? Which companies are leading these developments?
Q.9 Who are the major players in this cloud computing in cell biology, genomics, and drug development market? What strategic initiatives are being implemented by key players for business growth?
Q.10 What are some of the competitive products and processes in this cloud computing in cell biology, genomics, and drug development market, and how big of a threat do they pose for loss of market share via material or product substitution?
Q.11 What M&A activities did take place in the last five years in the global cloud computing in cell biology, genomics, and drug development market?

 


Report Scope


Key Features Description
Base Year for Estimation 2019
Trend Period
(Actual Estimates)		 2014-2019
Forecast Period 2020-2025
Pages More than 150
Market Representation / Units Revenue in US $ Million
Report Coverage Market Trends & Forecasts, Competitor Analysis, New Product Development, Company Expansion, Merger, Acquisitions & Joint Venture, and Company Profiling
Market Segments Branch of Biology (Plant Biology, Animal Biology, Human Biology, and Microbiology), Development Type (Public Cloud, Private Cloud, and Hybrid Cloud), Application (Discovery & Preclinical Research (Genomics, Diagnostics, and Others), Clinical Trials, Pharma Manufacturing, Commercialization, and Plant & Microbial Gene Analyses), and End User (Pharmaceutical And Biotechnology Companies, Contract Research Organizations, Clinical Laboratories, and Others)

Regional Scope

North America (USA, Mexico, and Canada), Europe (United Kingdom, Germany, and France), Asia (China, India, and Japan), and ROW (Brazil)
Customization 10% Customization without Any Additional Cost

Table of Contents


1. Executive Summary

2. Market Background and Classifications
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2014 to 2025
3.1: Macroeconomic Trends and Forecast
3.2: Global Cloud Computing in Cell Biology, Genomics, and Drug Development Market Trends and Forecast
3.3: Global Cloud Computing in Cell Biology, Genomics, and Drug Development Market by Branch of Biology
3.3.1: Plant Biology
3.3.2: Animal Biology
3.3.3: Human Biology
3.3.4: Microbiology
3.4: Global Cloud Computing in Cell Biology, Genomics, and Drug Development Market by Development Type
3.4.1: Public Cloud
3.4.2: Private Cloud
3.4.3: Hybrid Cloud
3.5: Global Cloud Computing in Cell Biology, Genomics, and Drug Development Market by Application
3.5.1: Discovery and Preclinical Research 
3.5.1.1: Genomics
3.5.1.2: Diagnostics
3.5.1.3: Others
3.5.2: Clinical Trials 
3.5.3: Pharma Manufacturing
3.5.4: Commercialization
3.5.5: Plant and Microbial Gene Analyses
3.6: Global Cloud Computing in Cell Biology, Genomics, and Drug Development Market by End User
3.6.1: Pharmaceutical and Biotechnology Companies
3.6.2: Contract Research Organizations
3.6.3: Clinical Laboratories
3.6.4: Others

4. Market Trends and Forecast Analysis by Region
4.1: Global Cloud Computing in Cell Biology, Genomics, and Drug Development Market by Region
4.2: North American Cloud Computing in Cell Biology, Genomics, and Drug Development Market
4.2.1: Market by Branch of Biology: Plant Biology, Animal Biology, Human Biology, and Microbiology
4.2.2: Market by Development Type: Public Cloud, Private Cloud, and Hybrid Cloud 
4.2.3: Market by Application: Discovery and Preclinical Research, Clinical Trials, Pharma Manufacturing, Commercialization, and Plant and Microbial Gene Analyses
4.2.4: Market by End User: Pharmaceutical and Biotechnology Companies, Contract Research Organizations, Clinical Laboratories, and Others 
4.2.5: The United States Cloud Computing in Cell Biology, Genomics, and Drug Development Market
4.2.6: The Canadian Cloud Computing in Cell Biology, Genomics, and Drug Development Market
4.2.7: The Mexican Cloud Computing in Cell Biology, Genomics, and Drug Development Market
4.3: European Cloud Computing in Cell Biology, Genomics, and Drug Development Market
4.3.1: Market by Branch of Biology: Plant Biology, Animal Biology, Human Biology, and Microbiology 
4.3.2: Market by Development Type: Public Cloud, Private Cloud, and Hybrid Cloud 
4.3.3: Market by Application: Discovery and Preclinical Research, Clinical Trials, Pharma Manufacturing, Commercialization, and Plant and Microbial Gene Analyses 
4.3.4: Market by End User: Pharmaceutical and Biotechnology Companies, Contract Research Organizations, Clinical Laboratories, and Others 
4.3.5: The Cloud Computing in Cell Biology, Genomics, and Drug Development Market of United Kingdom
4.3.6: The German Cloud Computing in Cell Biology, Genomics, and Drug Development Market
4.3.7: The French Cloud Computing in Cell Biology, Genomics, and Drug Development Market
4.4: APAC Cloud Computing in Cell Biology, Genomics, and Drug Development Market
4.4.1: Market by Branch of Biology: Plant Biology, Animal Biology, Human Biology, and Microbiology 
4.4.2: Market by Development Type: Public Cloud, Private Cloud, and Hybrid Cloud 
4.4.3: Market by Application: Discovery and Preclinical Research, Clinical Trials, Pharma Manufacturing, Commercialization, and Plant and Microbial Gene Analyses 
4.4.4: Market by End User: Pharmaceutical and Biotechnology Companies, Contract Research Organizations, Clinical Laboratories, and Others 
4.4.5: The Chinese Cloud Computing in Cell Biology, Genomics, and Drug Development Market
4.4.6: The Indian Cloud Computing in Cell Biology, Genomics, and Drug Development Market
4.4.7: The Japanese Cloud Computing in Cell Biology, Genomics, and Drug Development Market
4.5: ROW Cloud Computing in Cell Biology, Genomics, and Drug Development Market
4.5.1: Market by Branch of Biology: Plant Biology, Animal Biology, Human Biology, and Microbiology 
4.5.2: Market by Development Type: Public Cloud, Private Cloud, and Hybrid Cloud 
4.5.3: Market by Application: Discovery and Preclinical Research, Clinical Trials, Pharma Manufacturing, Commercialization, and Plant and Microbial Gene Analyses 
4.5.4: Market by End User: Pharmaceutical and Biotechnology Companies, Contract Research Organizations, Clinical Laboratories, and Others 
4.5.5: Brazilian Cloud Computing in Cell Biology, Genomics, and Drug Development Market

5. Competitor Analysis
5.1: Market Share Analysis
5.2: Product Portfolio Analysis
5.3: Operational Integration
5.4: Geographical Reach
5.5: Porter’s Five Forces Analysis

6. Cost Structure Analysis
6.1: Cost of Goods Sold
6.2: SG&A
6.3: EBITDA Margin

7. Growth Opportunities and Strategic Analysis
7.1: Growth Opportunity Analysis
7.1.1: Growth Opportunities for the Global Cloud Computing in Cell Biology, Genomics, and Drug Development Market by Branch of Biology
7.1.2: Growth Opportunities for the Global Cloud Computing in Cell Biology, Genomics, and Drug Development Market by Development Type
7.1.3: Growth Opportunities for the Global Cloud Computing in Cell Biology, Genomics, and Drug Development Market by Application
7.1.4: Growth Opportunities for the Global Cloud Computing in Cell Biology, Genomics, and Drug Development Market by End User
7.1.5: Growth Opportunities for the Global Cloud Computing in Cell Biology, Genomics, and Drug Development Market by Region
7.2: Emerging Trends in the Global Cloud Computing in Cell Biology, Genomics, and Drug Development Market
7.3: Strategic Analysis
7.3.1: New Product Development
7.3.2: Capacity Expansion of the Global Cloud Computing in Cell Biology, Genomics, and Drug Development Market
7.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Cloud Computing in Cell Biology, Genomics, and Drug Development Market
7.3.4: Certification and Licensing

8. Company Profiles of Leading Players
8.1: Google LLC 
8.2: Amazon Web Services (AWS) Inc. 
8.3: IBM Corporation
8.4: Oracle Corporation
8.5: Microsoft Corporation
8.6: Cisco Systems Inc. 
8.7: DXC Technology 
8.8: Salesforce.com Inc. 
8.9: SAP SE 
8.10: Company 10
 
.

Buy full report or by chapter as follows

Price by License Type:
[-] Hide Chapter Details
[Chapter Number] [Chapter Name] [Chapter Number Of Pages] [Chapter Price]
Title/Chapter Name Pages Price
Full Report: Cloud Computing In Cell Biology: Trends, Forecast and Competitive Analysis Full Report $ 4,850
150 - page report
Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
  • In-depth interviews of the major players in this market
  • Detailed secondary research from competitors’ financial statements and published data 
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
 
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process. 
 

Please sign in below to get report brochure - Cloud Computing In Cell Biology.

At Lucintel, we respect your privacy and maintain the confidentiality of information / data provided by you
(Please enter your corporate email. * These fields are mandatory )
Have an Account / Returning Visitors?

Follow us on