Life Sciences Data Mining and Visualization Market
Life Sciences Data Mining and Visualization Market Study by Analytics, Data Mining, and Visualization from 2023 to 2033
Analysis of Life Sciences Data Mining and Visualization Market Covering 30+ Countries Including Analysis of US, Canada, UK, Germany, France, Nordics, GCC countries, Japan, Korea and many more
Life Sciences Data Mining and Visualization Market Outlook
The global life sciences data mining and visualization market is set to surpass a valuation of US$ 8.3 billion in 2023 and further expand at a CAGR of 9.1% to reach US$ 19.9 billion by the end of 2033.
Revenue generation from life sciences data mining and visualization accounted for 7% of overall data analytics market in 2022.
Report Attributes |
Details |
|
Life Sciences Data Mining and Visualization Market Size (2022A) |
US$ 7.5 Billion |
|
Estimated Market Value (2023E) |
US$ 8.3 Billion |
|
Forecasted Market Value (2033F) |
US$ 19.9 Billion |
|
Global Market Growth Rate (2023-2033) |
9.1% CAGR |
|
North America Market Share (2023) |
~ 28.3% |
|
North America Market Value (US$ Mn), 2023 |
US$ 2.3 Billion |
|
Europe Market Share (%), 2023 |
~26.4% |
|
Europe Market Value (US$ Mn), 2023 |
US$ 2.2 Billion |
|
China Market Share (%), 2023 |
~11.4% |
|
China Market Value (US$ Mn), 2023 |
US$ 948 Million |
|
Top 3 country Market Share (%) |
~40.7% |
|
Key Companies Profiled |
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Revenue Analysis of Life Sciences Data Mining and Visualization Market (2018-2022) Vs. Market Forecast Outlook (2023-2033)
As per the research by Fact.MR, from 2018 to 2022, the market value of life sciences data mining and visualization market increased at a rate of 8.9% CAGR, with U.S., China and U.K commanding high shares in the global market.
Life sciences data mining and visualization refers to the process of extracting valuable insights and information from large and complex datasets in the life sciences. This can include data from areas such as genetics, genomics, proteomics, metabolomics, and clinical studies. The goal of data mining in the life sciences is to identify patterns, relationships, and trends that can provide new insights into the underlying biology of a disease or the effectiveness of a particular treatment.
Data visualization is an important part of the data mining process, as it allows researchers to easily explore and understand the data and the insights that are generated from it. This can include techniques such as scatter plots, heat maps, and network diagrams to help researchers explore the data and identify patterns and trends.
Industries have benefited greatly from data mining applications. For instance, insurers can now identify fraud and abuse, life sciences firms can improve customer relationship management, doctors can now find the best practices and treatments, and patients can now access more affordable and effective healthcare.
The process of turning difficult data into valuable information is facilitated with the aid of data mining's technique and technology. Fact.MR estimates that the growth of the global life sciences data mining and visualization market will be 2.4 times by 2033, creating an absolute dollar opportunity of US$ 12.3 Bn over the forecast period.
- Short Term (2023 Q1 to 2026): The development of advanced technologies, such as high-throughput sequencing and mass spectrometry to aid the market growth.
- Medium Term (2026-2029): The growing importance of big data for advanced data mining and visualization techniques in life sciences would contribute to the market growth.
- Long Term (2029-2033): The growing use of precision medicine leading to an increase in amount of data being collected and analyzed will improve long-term growth in the market.
What’s Driving Demand for Life Sciences Data Mining and Visualization?
The Rise of Precision Medicine to Accelerate the Market Growth
The shift towards precision medicine, which aims to tailor treatments to the specific genetic and molecular characteristics of individual patients, has led to an increase in the amount of data being collected and analyzed in the life sciences. This has created a demand for data mining and visualization techniques that can help identify patterns and relationships in the data that can inform personalized treatment plans.
Using data mining algorithms, such as machine learning, researchers can predict patient outcomes such as drug response, risk of disease progression, or survival probability. Data mining and visualization can play an important role in precision medicine by helping researchers to identify patterns and relationships in large, complex datasets for more effective treatments and improved outcomes of patients.
As a result, the demand for data mining and visualization in life sciences is estimated to witness considerable growth in successive years for precision medicine.
The Growing Importance of Data Security & Privacy to Elevate Market Growth
With the growing amount of personal information being collected and analyzed in life sciences, there is a rising need to ensure that data is handled securely and that privacy is protected. Data mining and visualization can play an important role in this by allowing life science researchers to explore the data in a way that does not compromise the privacy of individuals.
Data mining and visualization tools can be used to anonymize data by removing or masking personal identifiers such as names, addresses, and social security numbers. This can help to protect the privacy of individuals while still allowing researchers to analyze and explore the data.
Data mining and visualization tools can also be used to encrypt data, making it unreadable to unauthorized users. This can benefit to protect sensitive data from being accessed or stolen by unauthorized parties, opening ample opportunities for the market.
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What Concerns Should Life Sciences Data Mining and Visualization Providers Watch Out for?
Challenges Related to Regulatory Compliance may affect the Market Growth
Poor compliance is one of the challenges that companies and organizations face while using data mining and visualization tools in the life sciences. Compliance refers to the adherence to laws, regulations, and standards related to the collection, storage, and use of data. Non-compliance can result in fines, legal action, and damage to an organization's reputation.
To comply with the regulations and standards, organizations must have strong data management and security practices in place, and must ensure that their data mining and visualization activities are aligned with their overall compliance and data governance strategies.
This includes regularly reviewing and updating policies and procedures, training employees on data protection and privacy, and conducting regular assessments of data management and security practices. Modern data warehouses come with role-based access control and have strict oversight on access, ensuring compliance with privacy regulations, which may pose a threat to market growth.
Country wise Insights
How will United States be an Opportunistic Market for Life Sciences Data Mining and Visualization Market?
The United States is home to a large and diversified life sciences industry, which includes pharmaceutical, biotechnology, and medical device companies. These industries generate large amounts of data, which creates a need for data mining and visualization tools.
The U.S government has implemented policies to support the life sciences industry and encourage innovation, including promotion of data sharing and collaboration initiatives. According to Fact. MR's estimate, the US market is anticipated to generate US$ 2 billion by 2023.
The U.S has a strong infrastructure for the storage and analysis of big data, which includes robust IT infrastructure, large amounts of computational resources, and well-established data management practices. This makes it a favorable country for life sciences data mining and visualization companies. The US is predicted to hold a market share of 24.5% at global level in 2023 and is expected to grow at a CAGR of 6.7% owing to aforementioned factors.
What Makes China Growth Epicenter for the Life Sciences Data Mining and Visualization?
China's life sciences industry has been growing rapidly in recent years, driven by increased government funding, investments from private companies, and growth in the number of biotech and pharmaceutical companies. This has led to an increase in the amount of data being generated, creating a need for data mining and visualization tools.
China has made significant advances in technology, particularly in the areas of genomics, AI and big data. In addition, the Chinese government has been making significant investments in data-driven research and development, particularly in the field of life sciences.
With the increase of healthcare expenditure in China, leading to the growth of healthcare sector, China is predicted to grow at a CAGR of 7.7%. In 2023, China is anticipated to have a value of US$ 948 Mn, holding a market share of 11.4% at global level.
Category wise Insights
How Pharmaceutical End Use Industry to be Focus for Life Science Data Mining & Visualization Vendors?
The pharmaceutical sector generates a large amount of data, including data from preclinical and clinical studies, genomics data, electronic health records, and other sources. This data is being generated at an unprecedented rate, and pharmaceutical companies require data mining and visualization tools to identify and analyze various data points.
The pharmaceutical sector is increasingly focused on developing personalized medicine, which is tailored to the specific characteristics of a patient. Data mining and visualization tools can help researchers to understand the underlying biology of a disease and identify potential drug targets.
Overall, the pharmaceutical sector is expected to be an opportunistic market for the life sciences data mining and visualization market as it requires a large amount of data to be analyzed, providing insights for drug discovery, development, and improving efficiency in the sector. The pharmaceuticals end use industry will have a valuation of around US$ 1.6 Bn in 2023 and hold a share of 19.3% of the overall market.
How On-Cloud Deployment is Likely to Witness an Accelerated Growth?
Cloud-based data mining and visualization in the life sciences field has rising demand as it allows researchers to easily access and analyze large amounts of data that were previously difficult or impossible to work with. Cloud-based solutions offer a number of advantages in this regard, including scalability, flexibility, and cost-efficiency. Additionally, many cloud-based platforms provide powerful data visualization tools that allow researchers to quickly and easily gain insights from their data.
Cloud-based solutions typically have lower upfront costs and can be more cost-effective in the long term, as researchers do not need to invest in expensive hardware or software. On-cloud life sciences data mining and visualization is likely to hold a market valuation of US$ 5.5 Bn in 2023 and hold a market share of 66.3%.
Competitive Landscape
Prominent players of life sciences data mining and visualization globally are Accenture, Cognizant, Dundas Data Visualization Inc., IBM Corporation, InetSoft Technology Corporation, Information Builders, IQVIA, Microsoft Corporation, MicroStrategy Inc., Oracle Corporation, Pentaho Corporation, SAP SE, SAS Institute Inc., Tableau Software, Take Solutions Limited, TIBCO Software Inc. and Wipro Limited. Companies are developing interactive, user-friendly visualization tools that enable researchers, clinicians, and drug developers to explore and understand large and complex datasets.
The key focus of vendors is to provide high-quality and value-added services that enable customers to gain insights from large and complex datasets, and to make better-informed decisions in the drug development and precision medicine space.
- In November 2022, Sony launched a flow cytometry data analysis cloud solution that can rapidly detect rare cells, such as stem cells and cancer cells, from a extensive variety of cell populations, using data acquired from flow cytometers named SFAi-Life Sciences Cloud Platform.
- Snowflake, a data cloud company launched the Healthcare & Life Sciences Data Cloud in March 2022 for better patient care and business results. Healthcare companies will have a unified, integrated, and cross-cloud data platform that eliminates technological and institutional data silos with the launch of Snowflake Healthcare & Life Sciences Data Cloud.
Fact.MR has provided detailed information about the service offering of key vendors of life sciences data mining and visualization positioned across regions, revenue growth, deployment scale, and speculative technological expansion, in the recently published report.
Segmentation of Life Sciences Data Mining and Visualization Research
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By Component :
- Analytics
- Descriptive
- Diagnostics
- Predictive
- Prescriptive
- Data Mining
- Identification of Biomarkers
- Image Analysis
- Structural Biology
- Statistical Data Analysis and Programming
- Biological Modeling
- Visualization
- Analytics
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By License Structure :
- Yearly Subscription
- Monthly Subscription
- One Time License
- Other Licensing Structures
-
By End Use Industry :
- Academia & Universities
- Biotechnology Industry
- Contract Research Organizations (CROs) and Contract Manufacturing Organizations (CMOs)
- Diagnostics and Screening
- Government
- Pharmaceutical Industry
- Hospitals and Healthcare Centers
- Medical Devices Manufacturing
- Digital Health
- Others
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By Deployment :
- On-Cloud
- On-Premise
- Hybrid
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Life Sciences Data Mining and Visualization by Region :
- North America
- Latin America
- Europe
- East Asia
- South Asia & Oceania
- MEA
Table of Content
1. Executive Summary 2. Market Overview 2.1. Market Definition and Introduction 2.2. Market Taxonomy/ Research Scope 3. Market Background and Foundation Data 3.1. Global Life Sciences Industry Outlook 3.2. Global Data Mining and Visualization Market in a Nutshell 3.3. Penetration of Market in Global Data Mining and Visualization Market 3.4. Average Spending on Life Sciences Data Mining and Visualization 3.4.1. By Key Regions 3.4.2. By End Use Industry 3.4.2.1. Academia & Universities 3.4.2.2. Biotechnology Industry 3.4.2.3. Contract research organizations (CROs) and contract manufacturing organizations (CMOs) 3.4.2.4. Diagnostics and Screening 3.4.2.5. Government 3.4.2.6. Pharmaceutical Industry 3.4.2.7. Hospitals and Healthcare Centers 3.4.2.8. Medical Devices Manufacturing 3.4.2.9. Digital Health 3.4.2.10. Others 3.5. Investment in Life Sciences Data Mining and Visualization, By Region 3.6. Investments in Data-Driven Research by Pharmaceutical Companies 3.7. Growth & Development Pattern in Market 3.8. Market Opportunity Assessment 3.8.1. Total Available Market (US$ Mn) 3.8.2. Serviceable Addressable Market (US$ Mn) 3.8.3. Serviceable Obtainable Market (US$ Mn) 3.9. Market White Space Assessment 3.10. Market Dynamics 3.10.1. Market Growth Drivers 3.10.2. Market Restraints 3.10.3. Market Opportunity 3.10.4. Market Trends 3.11. Forecast and Macro-economic Factors – Relevance and Impact 4. Global Value (US$ million) Analysis and Forecast 4.1. Historical Market Value (US$ million) Analysis, 2018-2022 4.2. Current and Future Market Value (US$ million) Projections, 2023-2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Analysis and Forecast, By Component 5.1. Introduction / Key Findings 5.2. Historical Market Size (US$ million) and Analysis By Component, 2018-2022 5.3. Current and Future Market Size (US$ million) Analysis and Forecast By Component, 2023-2033 5.3.1. Analytics 5.3.1.1. Descriptive 5.3.1.2. Diagnostics 5.3.1.3. Predictive 5.3.1.4. Prescriptive 5.3.2. Data Mining 5.3.2.1. Identification of Biomarkers 5.3.2.2. Image Analysis 5.3.2.3. Structural Biology 5.3.2.4. Statistical Data Analysis and Programming 5.3.2.5. Biological Modeling 5.3.3. Visualization 5.4. Market Attractiveness Analysis By Component 6. Global Analysis and Forecast, By License Structure 6.1. Introduction / Key Findings 6.2. Historical Market Size (US$ million) and Analysis By License Structure , 2018-2022 6.3. Current and Future Market Size (US$ million) Analysis and Forecast By License Structure , 2023-2033 6.3.1. Yearly Subscription 6.3.2. Monthly Subscription 6.3.3. One Time License 6.3.4. Other Licensing Structures 6.4. Market Attractiveness Analysis By License Structure 7. Global Analysis and Forecast, By End Use Industry 7.1. Introduction / Key Findings 7.2. Historical Market Size (US$ million) and Analysis By End Use Industry, 2018-2022 7.3. Current and Future Market Size (US$ million) Analysis and Forecast By End Use Industry, 2023-2033 7.3.1. Academia & Universities 7.3.2. Biotechnology Industry 7.3.3. Contract research organizations (CROs) and contract manufacturing organizations (CMOs) 7.3.4. Diagnostics and Screening 7.3.5. Government 7.3.6. Pharmaceutical Industry 7.3.7. Hospitals and Healthcare Centers 7.3.8. Medical Devices Manufacturing 7.3.9. Digital Health 7.3.10. Others 7.4. Market Attractiveness Analysis By End Use Industry 8. Global Analysis and Forecast, By Deployment 8.1. Introduction / Key Findings 8.2. Historical Market Size (US$ million) and Analysis By Deployment , 2018-2022 8.3. Current and Future Market Size (US$ million) Analysis and Forecast By Deployment , 2023-2033 8.3.1. On-Cloud 8.3.2. On-Premise 8.3.3. Hybrid 8.4. Market Attractiveness Analysis By Deployment 9. Global Analysis and Forecast, By Region 9.1. Introduction 9.2. Historical Market Size (US$ million) Analysis By Region, 2018-2022 9.3. Current Market Size (US$ million) Analysis and Forecast By Region, 2023-2033 9.3.1. North America 9.3.2. Latin America 9.3.3. Europe 9.3.4. East Asia 9.3.5. South Asia & Oceania 9.3.6. Middle East & Africa 9.4. Market Attractiveness Analysis by Region 10. North America Analysis and Forecast 10.1. Introduction / Key Findings 10.2. Historical Market Size (US$ million) and Trend Analysis by Market Taxonomy, 2018-2022 10.3. Market Size (US$ million) and Forecast by Market Taxonomy, 2023 - 2033 10.3.1. By Country 10.3.1.1. U.S. 10.3.1.2. Canada 10.3.2. By Component 10.3.3. By License Structure 10.3.4. By End Use Industry 10.3.5. By Deployment 10.4. Market Attractiveness Analysis 10.4.1. By Country 10.4.2. By Component 10.4.3. By License Structure 10.4.4. By End Use Industry 10.4.5. By Deployment 11. Latin America Analysis and Forecast 11.1. Introduction / Key Findings 11.2. Historical Market Size (US$ million) and Trend Analysis By Market Taxonomy, 2018-2022 11.3. Market Size (US$ million) and Forecast By Market Taxonomy, 2023 - 2033 11.3.1. By Country 11.3.1.1. Brazil 11.3.1.2. Mexico 11.3.1.3. Argentina 11.3.1.4. Rest of Latin America 11.3.2. By Component 11.3.3. By License Structure 11.3.4. By End Use Industry 11.3.5. By Deployment 11.4. Market Attractiveness Analysis 11.4.1. By Country 11.4.2. By Component 11.4.3. By License Structure 11.4.4. By End Use Industry 11.4.5. By Deployment 12. Europe Analysis and Forecast 12.1. Introduction / Key Findings 12.2. Historical Market Size (US$ million) and Trend Analysis by Market Taxonomy, 2018-2022 12.3. Market Size (US$ million) and Forecast by Market Taxonomy, 2023 - 2033 12.3.1. By Country 12.3.1.1. Germany 12.3.1.2. France 12.3.1.3. Italy 12.3.1.4. Spain 12.3.1.5. U.K. 12.3.1.6. BENELUX 12.3.1.7. Russia 12.3.1.8. Rest of Europe 12.3.2. By Component 12.3.3. By License Structure 12.3.4. By End Use Industry 12.3.5. By Deployment 12.4. Market Attractiveness Analysis 12.4.1. By Country 12.4.2. By Component 12.4.3. By License Structure 12.4.4. By End Use Industry 12.4.5. By Deployment 13. East Asia Analysis and Forecast 13.1. Introduction / Key Findings 13.2. Historical Market Size (US$ million) and Trend Analysis by Market Taxonomy, 2018-2022 13.3. Market Size (US$ million) and Forecast by Market Taxonomy, 2023 - 2033 13.3.1. By Country 13.3.1.1. China 13.3.1.2. Japan 13.3.1.3. South Korea 13.3.2. By Component 13.3.3. By License Structure 13.3.4. By End Use Industry 13.3.5. By Deployment 13.4. Market Attractiveness Analysis 13.4.1. By Country 13.4.2. By Component 13.4.3. By License Structure 13.4.4. By End Use Industry 13.4.5. By Deployment 14. South Asia & Oceania Analysis and Forecast 14.1. Introduction / Key Findings 14.2. Historical Market Size (US$ million) and Trend Analysis By Market Taxonomy, 2018-2022 14.3. Market Size (US$ million) and Forecast By Market Taxonomy, 2023 - 2033 14.3.1. By Country 14.3.1.1. India 14.3.1.2. Thailand 14.3.1.3. Indonesia 14.3.1.4. Malaysia 14.3.1.5. Australia & New Zealand 14.3.1.6. Rest of South Asia & Oceania 14.3.2. By Component 14.3.3. By License Structure 14.3.4. By End Use Industry 14.3.5. By Deployment 14.4. Market Attractiveness Analysis 14.4.1. By Country 14.4.2. By Component 14.4.3. By License Structure 14.4.4. By End Use Industry 14.4.5. By Deployment 15. Middle East & Africa Analysis and Forecast 15.1. Introduction / Key Findings 15.2. Historical Market Size (US$ million) and Trend Analysis By Market Taxonomy, 2018-2022 15.3. Market Size (US$ million) and Forecast By Market Taxonomy, 2023 - 2033 15.3.1. By Country 15.3.1.1. GCC Countries 15.3.1.2. South Africa 15.3.1.3. Northern Africa 15.3.1.4. Turkey 15.3.1.5. Rest of Middle East & Africa 15.3.2. By Component 15.3.3. By License Structure 15.3.4. By End Use Industry 15.3.5. By Deployment 15.4. Market Attractiveness Analysis 15.4.1. By Country 15.4.2. By Component 15.4.3. By License Structure 15.4.4. By End Use Industry 15.4.5. By Deployment 16. Country-level Analysis and Forecast 16.1. Introduction / Key Findings 16.1.1. Market Value Proportion Analysis, By Key Countries 16.1.2. Global Vs. Country Growth Comparison 16.2. US Analysis 16.2.1. Value Proportion Analysis by Market Taxonomy 16.2.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.2.2.1. By Component 16.2.2.2. By License Structure 16.2.2.3. By End Use Industry 16.2.2.4. By Deployment 16.3. Canada Analysis 16.3.1. Value Proportion Analysis by Market Taxonomy 16.3.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.3.2.1. By Component 16.3.2.2. By License Structure 16.3.2.3. By End Use Industry 16.3.2.4. By Deployment 16.4. Brazil Analysis 16.4.1. Value Proportion Analysis by Market Taxonomy 16.4.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.4.2.1. By Component 16.4.2.2. By License Structure 16.4.2.3. By End Use Industry 16.4.2.4. By Deployment 16.5. Mexico Analysis 16.5.1. Value Proportion Analysis by Market Taxonomy 16.5.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.5.2.1. By Component 16.5.2.2. By License Structure 16.5.2.3. By End Use Industry 16.5.2.4. By Deployment 16.6. Argentina Analysis 16.6.1. Value Proportion Analysis by Market Taxonomy 16.6.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.6.2.1. By Component 16.6.2.2. By License Structure 16.6.2.3. By End Use Industry 16.6.2.4. By Deployment 16.7. Germany Analysis 16.7.1. Value Proportion Analysis by Market Taxonomy 16.7.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.7.2.1. By Component 16.7.2.2. By License Structure 16.7.2.3. By End Use Industry 16.7.2.4. By Deployment 16.8. France Analysis 16.8.1. Value Proportion Analysis by Market Taxonomy 16.8.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.8.2.1. By Component 16.8.2.2. By License Structure 16.8.2.3. By End Use Industry 16.8.2.4. By Deployment 16.9. Italy Analysis 16.9.1. Value Proportion Analysis by Market Taxonomy 16.9.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.9.2.1. By Component 16.9.2.2. By License Structure 16.9.2.3. By End Use Industry 16.9.2.4. By Deployment 16.10. Spain Analysis 16.10.1. Value Proportion Analysis by Market Taxonomy 16.10.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.10.2.1. By Component 16.10.2.2. By License Structure 16.10.2.3. By End Use Industry 16.10.2.4. By Deployment 16.11. BENELUX Analysis 16.11.1. Value Proportion Analysis by Market Taxonomy 16.11.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.11.2.1. By Component 16.11.2.2. By License Structure 16.11.2.3. By End Use Industry 16.11.2.4. By Deployment 16.12. Russia Analysis 16.12.1. Value Proportion Analysis by Market Taxonomy 16.12.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.12.2.1. By Component 16.12.2.2. By License Structure 16.12.2.3. By End Use Industry 16.12.2.4. By Deployment 16.13. U.K. Analysis 16.13.1. Value Proportion Analysis by Market Taxonomy 16.13.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.13.2.1. By Component 16.13.2.2. By License Structure 16.13.2.3. By End Use Industry 16.13.2.4. By Deployment 16.14. China Analysis 16.14.1. Value Proportion Analysis by Market Taxonomy 16.14.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.14.2.1. By Component 16.14.2.2. By License Structure 16.14.2.3. By End Use Industry 16.14.2.4. By Deployment 16.15. Japan Analysis 16.15.1. Value Proportion Analysis by Market Taxonomy 16.15.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.15.2.1. By Component 16.15.2.2. By License Structure 16.15.2.3. By End Use Industry 16.15.2.4. By Deployment 16.16. South Korea Analysis 16.16.1. Value Proportion Analysis by Market Taxonomy 16.16.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.16.2.1. By Component 16.16.2.2. By License Structure 16.16.2.3. By End Use Industry 16.16.2.4. By Deployment 16.17. India Analysis 16.17.1. Value Proportion Analysis by Market Taxonomy 16.17.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.17.2.1. By Component 16.17.2.2. By License Structure 16.17.2.3. By End Use Industry 16.17.2.4. By Deployment 16.18. ASEAN Countries Analysis 16.18.1. Value Proportion Analysis by Market Taxonomy 16.18.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.18.2.1. By Component 16.18.2.2. By License Structure 16.18.2.3. By End Use Industry 16.18.2.4. By Deployment 16.19. Australia Analysis 16.19.1. Value Proportion Analysis by Market Taxonomy 16.19.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.19.2.1. By Component 16.19.2.2. By License Structure 16.19.2.3. By End Use Industry 16.19.2.4. By Deployment 16.20. GCC Countries Analysis 16.20.1. Value Proportion Analysis by Market Taxonomy 16.20.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.20.2.1. By Component 16.20.2.2. By License Structure 16.20.2.3. By End Use Industry 16.20.2.4. By Deployment 16.21. Turkey Analysis 16.21.1. Value Proportion Analysis by Market Taxonomy 16.21.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.21.2.1. By Component 16.21.2.2. By License Structure 16.21.2.3. By End Use Industry 16.21.2.4. By Deployment 16.22. South Africa Analysis 16.22.1. Value Proportion Analysis by Market Taxonomy 16.22.2. Value (US$ million) Analysis and Forecast by Market Taxonomy, 2018-2033 16.22.2.1. By Component 16.22.2.2. By License Structure 16.22.2.3. By End Use Industry 16.22.2.4. By Deployment 17. Structure Analysis 17.1. Market Analysis by Tier of Companies 17.2. Market Concentration of Players 17.3. Market Share Analysis of Top Players 17.4. Market Presence Analysis 18. Product Launch Software Competition Analysis 18.1. Competition Dashboard 18.2. Competition Benchmarking of Products 18.3. Competition Deep Dive: Product Launch Software 18.3.1. Accenture 18.3.1.1. Overview 18.3.1.2. Product Portfolio 18.3.1.3. Key Financials 18.3.1.4. Sales Footprint 18.3.1.5. SWOT Analysis 18.3.1.6. Key Developments 18.3.1.7. Strategy Overview 18.3.2. Cognizant 18.3.2.1. Overview 18.3.2.2. Product Portfolio 18.3.2.3. Key Financials 18.3.2.4. Sales Footprint 18.3.2.5. SWOT Analysis 18.3.2.6. Key Developments 18.3.2.7. Strategy Overview 18.3.3. Dundas Data Visualization Inc. 18.3.3.1. Overview 18.3.3.2. Product Portfolio 18.3.3.3. Key Financials 18.3.3.4. Sales Footprint 18.3.3.5. SWOT Analysis 18.3.3.6. Key Developments 18.3.3.7. Strategy Overview 18.3.4. IBM Corporation 18.3.4.1. Overview 18.3.4.2. Product Portfolio 18.3.4.3. Key Financials 18.3.4.4. Sales Footprint 18.3.4.5. SWOT Analysis 18.3.4.6. Key Developments 18.3.4.7. Strategy Overview 18.3.5. InetSoft Technology Corporation 18.3.5.1. Overview 18.3.5.2. Product Portfolio 18.3.5.3. Key Financials 18.3.5.4. Sales Footprint 18.3.5.5. SWOT Analysis 18.3.5.6. Key Developments 18.3.5.7. Strategy Overview 18.3.6. Information Builders 18.3.6.1. Overview 18.3.6.2. Product Portfolio 18.3.6.3. Key Financials 18.3.6.4. Sales Footprint 18.3.6.5. SWOT Analysis 18.3.6.6. Key Developments 18.3.6.7. Strategy Overview 18.3.7. IQVIA 18.3.7.1. Overview 18.3.7.2. Product Portfolio 18.3.7.3. Key Financials 18.3.7.4. Sales Footprint 18.3.7.5. SWOT Analysis 18.3.7.6. Key Developments 18.3.7.7. Strategy Overview 18.3.8. Microsoft Corporation 18.3.8.1. Overview 18.3.8.2. Product Portfolio 18.3.8.3. Key Financials 18.3.8.4. Sales Footprint 18.3.8.5. SWOT Analysis 18.3.8.6. Key Developments 18.3.8.7. Strategy Overview 18.3.9. MicroStrategy Inc. 18.3.9.1. Overview 18.3.9.2. Product Portfolio 18.3.9.3. Key Financials 18.3.9.4. Sales Footprint 18.3.9.5. SWOT Analysis 18.3.9.6. Key Developments 18.3.9.7. Strategy Overview 18.3.10. Oracle Corporation 18.3.10.1. Overview 18.3.10.2. Product Portfolio 18.3.10.3. Key Financials 18.3.10.4. Sales Footprint 18.3.10.5. SWOT Analysis 18.3.10.6. Key Developments 18.3.10.7. Strategy Overview 18.3.11. Pentaho Corporation 18.3.11.1. Overview 18.3.11.2. Product Portfolio 18.3.11.3. Key Financials 18.3.11.4. Sales Footprint 18.3.11.5. SWOT Analysis 18.3.11.6. Key Developments 18.3.11.7. Strategy Overview 18.3.12. SAP SE 18.3.12.1. Overview 18.3.12.2. Product Portfolio 18.3.12.3. Key Financials 18.3.12.4. Sales Footprint 18.3.12.5. SWOT Analysis 18.3.12.6. Key Developments 18.3.12.7. Strategy Overview 18.3.13. SAS Institute Inc. 18.3.13.1. Overview 18.3.13.2. Product Portfolio 18.3.13.3. Key Financials 18.3.13.4. Sales Footprint 18.3.13.5. SWOT Analysis 18.3.13.6. Key Developments 18.3.13.7. Strategy Overview 18.3.14. Tableau Software. 18.3.14.1. Overview 18.3.14.2. Product Portfolio 18.3.14.3. Key Financials 18.3.14.4. Sales Footprint 18.3.14.5. SWOT Analysis 18.3.14.6. Key Developments 18.3.14.7. Strategy Overview 18.3.15. Take Solutions Limited 18.3.15.1. Overview 18.3.15.2. Product Portfolio 18.3.15.3. Key Financials 18.3.15.4. Sales Footprint 18.3.15.5. SWOT Analysis 18.3.15.6. Key Developments 18.3.15.7. Strategy Overview 18.3.16. TIBCO Software Inc. 18.3.16.1. Overview 18.3.16.2. Product Portfolio 18.3.16.3. Key Financials 18.3.16.4. Sales Footprint 18.3.16.5. SWOT Analysis 18.3.16.6. Key Developments 18.3.16.7. Strategy Overview 18.3.17. Wipro Limited 18.3.17.1. Overview 18.3.17.2. Product Portfolio 18.3.17.3. Key Financials 18.3.17.4. Sales Footprint 18.3.17.5. SWOT Analysis 18.3.17.6. Key Developments 18.3.17.7. Strategy Overview 19. Assumptions & Acronyms Used 20. Research Methodology
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List Of Table
Table 01. Global Value (US$ million) and Historic by Region, 2018-2022
Table 02. Global Value (US$ million) and Forecast by Region, 2023-2033
Table 03. Global Value (US$ million) and Historic By Component, 2018-2022
Table 04. Global Value (US$ million) and Forecast By Component, 2023-2033
Table 05. Global Value (US$ million) and Historic By License Structure , 2018-2022
Table 06. Global Value (US$ million) and Forecast By License Structure , 2023-2033
Table 07. Global Value (US$ million) and Historic By End Use Industry, 2018-2022
Table 08. Global Value (US$ million) and Forecast By End Use Industry, 2023-2033
Table 09. Global Value (US$ million) and Historic By Deployment , 2018-2022
Table 10. Global Value (US$ million) and Forecast By Deployment , 2023-2033
Table 11. North America Value (US$ million) and Historic by Country, 2018-2022
Table 12. North America Value (US$ million) and Forecast by Country, 2023-2033
Table 13. North America Value (US$ million) and Historic By Component, 2018-2022
Table 14. North America Value (US$ million) and Forecast By Component, 2023-2033
Table 15. North America Value (US$ million) and Historic By License Structure , 2018-2022
Table 16. North America Value (US$ million) and Forecast By License Structure , 2023-2033
Table 17. North America Value (US$ million) and Historic By End Use Industry, 2018-2022
Table 18. North America Value (US$ million) and Forecast By End Use Industry, 2023-2033
Table 19. North America Value (US$ million) and Historic By Deployment , 2018-2022
Table 20. North America Value (US$ million) and Forecast By Deployment , 2023-2033
Table 21. Latin America Value (US$ million) and Historic by Country, 2018-2022
Table 22. Latin America Value (US$ million) and Forecast by Country, 2023-2033
Table 23. Latin America Value (US$ million) and Historic By Component, 2018-2022
Table 24. Latin America Value (US$ million) and Forecast By Component, 2023-2033
Table 25. Latin America Value (US$ million) and Historic By License Structure , 2018-2022
Table 26. Latin America Value (US$ million) and Forecast By License Structure , 2023-2033
Table 27. Latin America Value (US$ million) and Historic By End Use Industry, 2018-2022
Table 28. Latin America Value (US$ million) and Forecast By End Use Industry, 2023-2033
Table 29. Latin America Value (US$ million) and Forecast By Deployment , 2018-2022
Table 30. Latin America Value (US$ million) and Forecast By Deployment , 2023-2033
Table 31. Europe Value (US$ million) and Historic by Country, 2018-2022
Table 32. Europe Value (US$ million) and Forecast by Country, 2023-2033
Table 33. Europe Value (US$ million) and Historic By Component, 2018-2022
Table 34. Europe Value (US$ million) and Forecast By Component, 2023-2033
Table 35. Europe Value (US$ million) and Historic By License Structure , 2018-2022
Table 36. Europe Value (US$ million) and Forecast By License Structure , 2023-2033
Table 37. Europe Value (US$ million) and Historic By End Use Industry, 2018-2022
Table 38. Europe Value (US$ million) and Forecast By End Use Industry, 2023-2033
Table 39. Europe Value (US$ million) and Historic By Deployment , 2018-2022
Table 40. Europe Value (US$ million) and Forecast By Deployment , 2023-2033
Table 41. East Asia Value (US$ million) and Historic by Country, 2018-2022
Table 42. East Asia Value (US$ million) and Forecast by Country, 2023-2033
Table 43. East Asia Value (US$ million) and Historic By Component, 2018-2022
Table 44. East Asia Value (US$ million) and Forecast By Component, 2023-2033
Table 45. East Asia Value (US$ million) and Historic By License Structure , 2018-2022
Table 46. East Asia Value (US$ million) and Forecast By License Structure , 2023-2033
Table 47. East Asia Value (US$ million) and Historic By End Use Industry, 2018-2022
Table 48. East Asia Value (US$ million) and Forecast By End Use Industry, 2023-2033
Table 49. East Asia Value (US$ million) and Historic By Deployment , 2018-2022
Table 50. East Asia Value (US$ million) and Forecast By Deployment , 2023-2033
Table 51. South Asia & Oceania Value (US$ million) and Historic by Country, 2018-2022
Table 52. South Asia & Oceania Value (US$ million) and Forecast by Country, 2023-2033
Table 53. South Asia & Oceania Value (US$ million) and Historic By Component, 2018-2022
Table 54. South Asia & Oceania Value (US$ million) and Forecast By Component, 2023-2033
Table 55. South Asia & Oceania Value (US$ million) and Historic By License Structure , 2018-2022
Table 56. South Asia & Oceania Value (US$ million) and Forecast By License Structure , 2023-2033
Table 57. South Asia & Oceania Value (US$ million) and Historic By End Use Industry, 2018-2022
Table 58. South Asia & Oceania Value (US$ million) and Forecast By End Use Industry, 2023-2033
Table 59. South Asia & Oceania Value (US$ million) and Historic By Deployment , 2018-2022
Table 60. South Asia & Oceania Value (US$ million) and Forecast By Deployment , 2023-2033
Table 61. MEA Value (US$ million) and Historic by Country, 2018-2022
Table 62. MEA Value (US$ million) and Forecast by Country, 2023-2033
Table 63. MEA Value (US$ million) and Historic By Component, 2018-2022
Table 64. MEA Value (US$ million) and Forecast By Component, 2023-2033
Table 65. MEA Value (US$ million) and Historic By License Structure , 2018-2022
Table 66. MEA Value (US$ million) and Forecast By License Structure , 2023-2033
Table 67. MEA Value (US$ million) and Historic By End Use Industry, 2018-2022
Table 68. MEA Value (US$ million) and Forecast By End Use Industry, 2023-2033
Table 69. MEA Value (US$ million) and Historic By Deployment , 2018-2022
Table 70. MEA Value (US$ million) and Forecast By Deployment , 2023-2033
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List Of Figures
Figure 01. Global Value (US$ million) and Forecast, 2023-2033
Figure 02. Global Absolute $ Opportunity (US$ million), 2023-2033
Figure 03. Global Value (US$ million) by Region, 2022 & 2032
Figure 04. Global Y-o-Y Growth Rate by Region, 2023-2033
Figure 05. Global Value (US$ million) and By Component, 2022 & 2032
Figure 06. Global Y-o-Y Growth Rate By Component, 2023-2033
Figure 07. Global Value (US$ million) and By License Structure , 2022 & 2032
Figure 08. Global Y-o-Y Growth Rate By License Structure , 2023-2033
Figure 09. Global Value (US$ million) and By End Use Industry, 2022 & 2032
Figure 10. Global Y-o-Y Growth Rate By End Use Industry, 2023-2033
Figure 11. Global Value (US$ million) and By Deployment , 2022 & 2032
Figure 12. Global Y-o-Y Growth Rate By Deployment , 2023-2033
Figure 13. North America Value (US$ million) and Forecast, 2023-2033
Figure 14. North America Absolute $ Opportunity (US$ million), 2023-2033
Figure 15. North America Value (US$ million) and by Country, 2022 & 2032
Figure 16. North America Y-o-Y Growth Rate by Country, 2023-2033
Figure 17. North America Value (US$ million) and By Component, 2022 & 2032
Figure 18. North America Y-o-Y Growth Rate By Component, 2023-2033
Figure 19. North America Value (US$ million) and By License Structure , 2022 & 2032
Figure 20. North America Y-o-Y Growth Rate By License Structure , 2023-2033
Figure 21. North America Value (US$ million) and By End Use Industry, 2022 & 2032
Figure 22. North America Y-o-Y Growth Rate By End Use Industry, 2023-2033
Figure 23. North America Value (US$ million) and By Deployment , 2022 & 2032
Figure 24. North America Y-o-Y Growth Rate By Deployment , 2023-2033
Figure 25. North America Attractiveness Analysis by Country, 2023-2033
Figure 26. North America Attractiveness Analysis By Component, 2023-2033
Figure 27. North America Attractiveness Analysis By License Structure , 2023-2033
Figure 28. North America Attractiveness Analysis By End Use Industry, 2023-2033
Figure 29. North America Attractiveness Analysis By Deployment , 2023-2033
Figure 30. Latin America Value (US$ million) and Forecast, 2023-2033
Figure 31. Latin America Absolute $ Opportunity (US$ million), 2023-2033
Figure 32. Latin America Value (US$ million) and by Country, 2022 & 2032
Figure 33. Latin America Y-o-Y Growth Rate by Country, 2023-2033
Figure 34. Latin America Value (US$ million) and By Component, 2022 & 2032
Figure 35. Latin America Y-o-Y Growth Rate By Component, 2023-2033
Figure 36. Latin America Value (US$ million) and By License Structure , 2022 & 2032
Figure 37. Latin America Y-o-Y Growth Rate By License Structure , 2023-2033
Figure 38. Latin America Value (US$ million) and By End Use Industry, 2022 & 2032
Figure 39. Latin America Y-o-Y Growth Rate By End Use Industry, 2023-2033
Figure 40. Latin America Value (US$ million) and By Deployment , 2022 & 2032
Figure 41. Latin America Y-o-Y Growth Rate By Deployment , 2023-2033
Figure 42. Latin America Attractiveness Analysis by Country, 2023-2033
Figure 43. Latin America Attractiveness Analysis By Component, 2023-2033
Figure 44. Latin America Attractiveness Analysis By License Structure , 2023-2033
Figure 45. Latin America Attractiveness Analysis By End Use Industry, 2023-2033
Figure 46. Latin America Attractiveness Analysis By Deployment , 2023-2033
Figure 47. Europe Value (US$ million) and Forecast, 2023-2033
Figure 48. Europe Absolute $ Opportunity (US$ million), 2023-2033
Figure 49. Europe Value (US$ million) and by Country, 2022 & 2032
Figure 50. Europe Y-o-Y Growth Rate by Country, 2023-2033
Figure 51. Europe Value (US$ million) and By Component, 2022 & 2032
Figure 52. Europe Y-o-Y Growth Rate By Component, 2023-2033
Figure 53. Europe Value (US$ million) and By License Structure , 2022 & 2032
Figure 54. Europe Y-o-Y Growth Rate By License Structure , 2023-2033
Figure 55. Europe Value (US$ million) and By End Use Industry, 2022 & 2032
Figure 56. Europe Y-o-Y Growth Rate By End Use Industry, 2023-2033
Figure 57. Europe Value (US$ million) and By Deployment , 2022 & 2032
Figure 58. Europe Y-o-Y Growth Rate By Deployment , 2023-2033
Figure 59. Europe Attractiveness Analysis by Country, 2023-2033
Figure 60. Europe Attractiveness Analysis By Component, 2023-2033
Figure 61. Europe Attractiveness Analysis By License Structure , 2023-2033
Figure 62. Europe Attractiveness Analysis By End Use Industry, 2023-2033
Figure 63. Europe Attractiveness Analysis By Deployment , 2023-2033
Figure 64. East Asia Value (US$ million) and Forecast, 2023-2033
Figure 65. East Asia Absolute $ Opportunity (US$ million), 2023-2033
Figure 66. East Asia Value (US$ million) and by Country, 2022 & 2032
Figure 67. East Asia Y-o-Y Growth Rate by Country, 2023-2033
Figure 68. East Asia Value (US$ million) and By Component, 2022 & 2032
Figure 69. East Asia Y-o-Y Growth Rate By Component, 2023-2033
Figure 70. East Asia Value (US$ million) and By License Structure , 2022 & 2032
Figure 71. East Asia Y-o-Y Growth Rate By License Structure , 2023-2033
Figure 72. East Asia Value (US$ million) and By End Use Industry, 2022 & 2032
Figure 73. East Asia Y-o-Y Growth Rate By End Use Industry, 2023-2033
Figure 74. East Asia Value (US$ million) and By Deployment , 2022 & 2032
Figure 75. East Asia Y-o-Y Growth Rate By Deployment , 2023-2033
Figure 76. East Asia Attractiveness Analysis by Country, 2023-2033
Figure 77. East Asia Attractiveness Analysis By Component, 2023-2033
Figure 78. East Asia Attractiveness Analysis By License Structure , 2023-2033
Figure 79. East Asia Attractiveness Analysis By End Use Industry, 2023-2033
Figure 80. East Asia Attractiveness Analysis By Deployment , 2023-2033
Figure 81. South Asia & Oceania Value (US$ million) and Forecast, 2023-2033
Figure 82. South Asia & Oceania Absolute $ Opportunity (US$ million), 2023-2033
Figure 83. South Asia & Oceania Value (US$ million) and by Country, 2022 & 2032
Figure 84. South Asia & Oceania Y-o-Y Growth Rate by Country, 2023-2033
Figure 85. South Asia & Oceania Value (US$ million) and By Component, 2022 & 2032
Figure 86. South Asia & Oceania Y-o-Y Growth Rate By Component, 2023-2033
Figure 87. South Asia & Oceania Value (US$ million) and By License Structure , 2022 & 2032
Figure 88. South Asia & Oceania Y-o-Y Growth Rate By License Structure , 2023-2033
Figure 89. South Asia & Oceania Value (US$ million) and By End Use Industry, 2022 & 2032
Figure 90. South Asia & Oceania Y-o-Y Growth Rate By End Use Industry, 2023-2033
Figure 91. South Asia & Oceania Value (US$ million) and By Deployment , 2022 & 2032
Figure 92. South Asia & Oceania Y-o-Y Growth Rate By Deployment , 2023-2033
Figure 93. South Asia & Oceania Attractiveness Analysis by Country, 2023-2033
Figure 94. South Asia & Oceania Attractiveness Analysis By Component, 2023-2033
Figure 95. South Asia & Oceania Attractiveness Analysis By License Structure , 2023-2033
Figure 96. South Asia & Oceania Attractiveness Analysis By End Use Industry, 2023-2033
Figure 97. South Asia & Oceania Attractiveness Analysis By Deployment , 2023-2033
Figure 98. MEA Value (US$ million) and Forecast, 2023-2033
Figure 99. MEA Absolute $ Opportunity (US$ million), 2023-2033
Figure 100. MEA Value (US$ million) and by Country, 2022 & 2032
Figure 101. MEA Y-o-Y Growth Rate by Country, 2023-2033
Figure 102. MEA Value (US$ million) and By Component, 2022 & 2032
Figure 103. MEA Y-o-Y Growth Rate By Component, 2023-2033
Figure 104. MEA Value (US$ million) and By License Structure , 2022 & 2032
Figure 105. MEA Y-o-Y Growth Rate By License Structure , 2023-2033
Figure 106. MEA Value (US$ million) and By End Use Industry, 2022 & 2032
Figure 107. MEA Y-o-Y Growth Rate By End Use Industry, 2023-2033
Figure 108. MEA Value (US$ million) and By Deployment , 2022 & 2032
Figure 109. MEA Y-o-Y Growth Rate By Deployment , 2023-2033
Figure 110. MEA Attractiveness Analysis by Country, 2023-2033
Figure 111. MEA Attractiveness Analysis By Component, 2023-2033
Figure 112. MEA Attractiveness Analysis By License Structure , 2023-2033
Figure 113. MEA Attractiveness Analysis By End Use Industry, 2023-2033
Figure 114. MEA Attractiveness Analysis By Deployment , 2023-2033
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- FAQs -
What will be the valuation of life sciences data mining and visualization market in 2033?
The market is likely to reach a valuation of US$ 19.9 Bn by the end of forecast period.
What will be the valuation of on-cloud deployment of life sciences data mining and visualization in 2023?
The on-cloud deployment of life sciences data mining and visualization is likely to reach a valuation of around US$ 5.5 Bn in 2023.
Which region dominates the value generation in overall market?
North America holds the leading market share by around 28.3% in 2023 and is presumed to remain in same growth curve by the end of 2033.
Which license structure of life sciences data mining and visualization will have the highest market share in 2023?
Yearly subscription license structure will have the highest market share of 35.1% in 2023.
What is the market value of Europe region in 2023?
Europe region is likely to offer great growth prospect with a market valuation of US$ 2.2 Bn in 2023.
How much market share will China capture in 2023 of global market?
China is expected to hold a market share of around 11.4% in 2023 at global level and is expected to grow in same rate by a CAGR of 7.7%.
What will be the market valuation of data mining under component segment in 2023?
Data mining under component segment is expected to reach a market valuation of US$ 2.6 Bn by 2023.
Life Sciences Data Mining and Visualization Market