Leveraging Cloud Computing in cell biology, genomics, and the drug development industry can help facilitate your research efforts to quickly and innovatively access clean, safe, and relevant data to find solutions to improve patient outcomes
The global market for Cloud Computing in Cell Biology, Genomics and Drug Development was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
The global pharmaceutical market is 1475 billion USD in 2022, growing at a CAGR of 5% during the next six years. The pharmaceutical market includes chemical drugs and biological drugs. For biologics is expected to 381 billion USD in 2022. In comparison, the chemical drug market is estimated to increase from 1005 billion in 2018 to 1094 billion U.S. dollars in 2022. The pharmaceutical market factors such as increasing demand for healthcare, technological advancements, and the rising prevalence of chronic diseases, increase in funding from private & government organizations for development of pharmaceutical manufacturing segments and rise in R&D activities for drugs. However, the industry also faces challenges such as stringent regulations, high costs of research and development, and patent expirations. Companies need to continuously innovate and adapt to these challenges to stay competitive in the market and ensure their products reach patients in need. Additionally, the COVID-19 pandemic has highlighted the importance of vaccine development and supply chain management, further emphasizing the need for pharmaceutical companies to be agile and responsive to emerging public health needs.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Cloud Computing in Cell Biology, Genomics and Drug Development, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Cloud Computing in Cell Biology, Genomics and Drug Development by region & country, by Type, and by Application.
The Cloud Computing in Cell Biology, Genomics and Drug Development market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Cloud Computing in Cell Biology, Genomics and Drug Development.
麻豆原创 Segmentation
By Company
Google Inc.
Amazon Web Services, Inc.
IBM Corp.
Oracle Corporation
Microsoft Corp.
Arisglobal
Benchling
Box Inc
Cisco Systems
Dell Emc
Cognizant
Dincloud
Exponential-e
Informatica
Segment by Type:
Public Cloud
Private Cloud
Hybrid Cloud
Segment by Application
Pharmaceutical and Biotechnology Companies
Contract Research Organizations (CROs)
Clinical Laboratories
Hospitals and Research Institutes
Others
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Cloud Computing in Cell Biology, Genomics and Drug Development manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Cloud Computing in Cell Biology, Genomics and Drug Development in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Cloud Computing in Cell Biology, Genomics and Drug Development in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 麻豆原创 Overview
1.1 Cloud Computing in Cell Biology, Genomics and Drug Development Product Introduction
1.2 Global Cloud Computing in Cell Biology, Genomics and Drug Development 麻豆原创 Size Forecast
1.3 Cloud Computing in Cell Biology, Genomics and Drug Development 麻豆原创 Trends & Drivers
1.3.1 Cloud Computing in Cell Biology, Genomics and Drug Development Industry Trends
1.3.2 Cloud Computing in Cell Biology, Genomics and Drug Development 麻豆原创 Drivers & Opportunity
1.3.3 Cloud Computing in Cell Biology, Genomics and Drug Development 麻豆原创 Challenges
1.3.4 Cloud Computing in Cell Biology, Genomics and Drug Development 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Cloud Computing in Cell Biology, Genomics and Drug Development Players Revenue Ranking (2023)
2.2 Global Cloud Computing in Cell Biology, Genomics and Drug Development Revenue by Company (2019-2024)
2.3 Key Companies Cloud Computing in Cell Biology, Genomics and Drug Development Manufacturing Base Distribution and Headquarters
2.4 Key Companies Cloud Computing in Cell Biology, Genomics and Drug Development Product Offered
2.5 Key Companies Time to Begin Mass Production of Cloud Computing in Cell Biology, Genomics and Drug Development
2.6 Cloud Computing in Cell Biology, Genomics and Drug Development 麻豆原创 Competitive Analysis
2.6.1 Cloud Computing in Cell Biology, Genomics and Drug Development 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Cloud Computing in Cell Biology, Genomics and Drug Development Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Cloud Computing in Cell Biology, Genomics and Drug Development as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Public Cloud
3.1.2 Private Cloud
3.1.3 Hybrid Cloud
3.2 Global Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Type
3.2.1 Global Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, by Type (2019-2030)
3.2.3 Global Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Pharmaceutical and Biotechnology Companies
4.1.2 Contract Research Organizations (CROs)
4.1.3 Clinical Laboratories
4.1.4 Hospitals and Research Institutes
4.1.5 Others
4.2 Global Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Application
4.2.1 Global Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, by Application (2019-2030)
4.2.3 Global Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Region
5.1.1 Global Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Region (2019-2024)
5.1.3 Global Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Region (2025-2030)
5.1.4 Global Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, 2019-2030
5.2.2 North America Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, 2019-2030
5.3.2 Europe Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, 2019-2030
5.4.2 Asia Pacific Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, 2019-2030
5.5.2 South America Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, 2019-2030
5.6.2 Middle East & Africa Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value
6.3 United States
6.3.1 United States Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, 2019-2030
6.3.2 United States Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, 2019-2030
6.4.2 Europe Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, 2019-2030
6.5.2 China Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Type (%), 2023 VS 2030
6.5.3 China Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, 2019-2030
6.6.2 Japan Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, 2019-2030
6.7.2 South Korea Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, 2019-2030
6.8.2 Southeast Asia Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value, 2019-2030
6.9.2 India Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Type (%), 2023 VS 2030
6.9.3 India Cloud Computing in Cell Biology, Genomics and Drug Development Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Google Inc.
7.1.1 Google Inc. Profile
7.1.2 Google Inc. Main Business
7.1.3 Google Inc. Cloud Computing in Cell Biology, Genomics and Drug Development Products, Services and Solutions
7.1.4 Google Inc. Cloud Computing in Cell Biology, Genomics and Drug Development Revenue (US$ Million) & (2019-2024)
7.1.5 Google Inc. Recent Developments
7.2 Amazon Web Services, Inc.
7.2.1 Amazon Web Services, Inc. Profile
7.2.2 Amazon Web Services, Inc. Main Business
7.2.3 Amazon Web Services, Inc. Cloud Computing in Cell Biology, Genomics and Drug Development Products, Services and Solutions
7.2.4 Amazon Web Services, Inc. Cloud Computing in Cell Biology, Genomics and Drug Development Revenue (US$ Million) & (2019-2024)
7.2.5 Amazon Web Services, Inc. Recent Developments
7.3 IBM Corp.
7.3.1 IBM Corp. Profile
7.3.2 IBM Corp. Main Business
7.3.3 IBM Corp. Cloud Computing in Cell Biology, Genomics and Drug Development Products, Services and Solutions
7.3.4 IBM Corp. Cloud Computing in Cell Biology, Genomics and Drug Development Revenue (US$ Million) & (2019-2024)
7.3.5 Oracle Corporation Recent Developments
7.4 Oracle Corporation
7.4.1 Oracle Corporation Profile
7.4.2 Oracle Corporation Main Business
7.4.3 Oracle Corporation Cloud Computing in Cell Biology, Genomics and Drug Development Products, Services and Solutions
7.4.4 Oracle Corporation Cloud Computing in Cell Biology, Genomics and Drug Development Revenue (US$ Million) & (2019-2024)
7.4.5 Oracle Corporation Recent Developments
7.5 Microsoft Corp.
7.5.1 Microsoft Corp. Profile
7.5.2 Microsoft Corp. Main Business
7.5.3 Microsoft Corp. Cloud Computing in Cell Biology, Genomics and Drug Development Products, Services and Solutions
7.5.4 Microsoft Corp. Cloud Computing in Cell Biology, Genomics and Drug Development Revenue (US$ Million) & (2019-2024)
7.5.5 Microsoft Corp. Recent Developments
7.6 Arisglobal
7.6.1 Arisglobal Profile
7.6.2 Arisglobal Main Business
7.6.3 Arisglobal Cloud Computing in Cell Biology, Genomics and Drug Development Products, Services and Solutions
7.6.4 Arisglobal Cloud Computing in Cell Biology, Genomics and Drug Development Revenue (US$ Million) & (2019-2024)
7.6.5 Arisglobal Recent Developments
7.7 Benchling
7.7.1 Benchling Profile
7.7.2 Benchling Main Business
7.7.3 Benchling Cloud Computing in Cell Biology, Genomics and Drug Development Products, Services and Solutions
7.7.4 Benchling Cloud Computing in Cell Biology, Genomics and Drug Development Revenue (US$ Million) & (2019-2024)
7.7.5 Benchling Recent Developments
7.8 Box Inc
7.8.1 Box Inc Profile
7.8.2 Box Inc Main Business
7.8.3 Box Inc Cloud Computing in Cell Biology, Genomics and Drug Development Products, Services and Solutions
7.8.4 Box Inc Cloud Computing in Cell Biology, Genomics and Drug Development Revenue (US$ Million) & (2019-2024)
7.8.5 Box Inc Recent Developments
7.9 Cisco Systems
7.9.1 Cisco Systems Profile
7.9.2 Cisco Systems Main Business
7.9.3 Cisco Systems Cloud Computing in Cell Biology, Genomics and Drug Development Products, Services and Solutions
7.9.4 Cisco Systems Cloud Computing in Cell Biology, Genomics and Drug Development Revenue (US$ Million) & (2019-2024)
7.9.5 Cisco Systems Recent Developments
7.10 Dell Emc
7.10.1 Dell Emc Profile
7.10.2 Dell Emc Main Business
7.10.3 Dell Emc Cloud Computing in Cell Biology, Genomics and Drug Development Products, Services and Solutions
7.10.4 Dell Emc Cloud Computing in Cell Biology, Genomics and Drug Development Revenue (US$ Million) & (2019-2024)
7.10.5 Dell Emc Recent Developments
7.11 Cognizant
7.11.1 Cognizant Profile
7.11.2 Cognizant Main Business
7.11.3 Cognizant Cloud Computing in Cell Biology, Genomics and Drug Development Products, Services and Solutions
7.11.4 Cognizant Cloud Computing in Cell Biology, Genomics and Drug Development Revenue (US$ Million) & (2019-2024)
7.11.5 Cognizant Recent Developments
7.12 Dincloud
7.12.1 Dincloud Profile
7.12.2 Dincloud Main Business
7.12.3 Dincloud Cloud Computing in Cell Biology, Genomics and Drug Development Products, Services and Solutions
7.12.4 Dincloud Cloud Computing in Cell Biology, Genomics and Drug Development Revenue (US$ Million) & (2019-2024)
7.12.5 Dincloud Recent Developments
7.13 Exponential-e
7.13.1 Exponential-e Profile
7.13.2 Exponential-e Main Business
7.13.3 Exponential-e Cloud Computing in Cell Biology, Genomics and Drug Development Products, Services and Solutions
7.13.4 Exponential-e Cloud Computing in Cell Biology, Genomics and Drug Development Revenue (US$ Million) & (2019-2024)
7.13.5 Exponential-e Recent Developments
7.14 Informatica
7.14.1 Informatica Profile
7.14.2 Informatica Main Business
7.14.3 Informatica Cloud Computing in Cell Biology, Genomics and Drug Development Products, Services and Solutions
7.14.4 Informatica Cloud Computing in Cell Biology, Genomics and Drug Development Revenue (US$ Million) & (2019-2024)
7.14.5 Informatica Recent Developments
8 Industry Chain Analysis
8.1 Cloud Computing in Cell Biology, Genomics and Drug Development Industrial Chain
8.2 Cloud Computing in Cell Biology, Genomics and Drug Development Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Cloud Computing in Cell Biology, Genomics and Drug Development Sales Model
8.5.2 Sales Channel
8.5.3 Cloud Computing in Cell Biology, Genomics and Drug Development Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
Google Inc.
Amazon Web Services, Inc.
IBM Corp.
Oracle Corporation
Microsoft Corp.
Arisglobal
Benchling
Box Inc
Cisco Systems
Dell Emc
Cognizant
Dincloud
Exponential-e
Informatica
听
听
*If Applicable.
