Lifesciences Data Mining and Visualization Market

Introduction

Data mining, which is intensively and extensively being utilized by several organizations, is gaining high popularity in the life sciences sector, albeit the degree of essentiality is moderate.

Data mining applications have significantly benefitted industries, for example – insurers can detect abuse and fraud, lifesciences companies can make better decisions apropos to customer relationship management, physicians can identify best practices and effective treatment options, and patients are enabled to receive affordable and improved healthcare services.

With huge amount of complex data generated by the transactions related to life sciences companies, processing and analyzing this data becomes voluminous by traditional methods.

With the help of data mining’s methodology and technology, the process of transforming the complex data into useful information is facilitated.

As the lifesciences industry continues to evolve, optimizing effectiveness of capital investment decisions is gaining paramount importance among life sciences industries.

Decisions concerning facility function and location are indispensable, as proximity to services plays an imperative role in growth of the industry.

Lifescience data visualization is therefore gaining huge momentum with its provision of application-specific data along with infographics.

As lifescience data visualization facilitates understanding of the complex data’s graphical representation, companies are leveraging the technology for making improvements in facilities.

One of the latest trend observed in the market is increasing importance of sharing life science data visualization in a bid to enable discerning of results in a format that is easy to understand.

According to a new research report published by Fact.MR, the global lifesciences data mining & visualization market is set to register a splendid growth at a double-digit CAGR between the period 2017 and 2026.

Revenues from the market are likely to close in roughly US$ 6,400 Mn by 2026-end.

North America to Account for Largest Revenues in the Market

Revenues from the market for lifesciences data mining and visualization in North America will remain significantly larger than those obtained from the market in all the other regional segments combined.

Apart from North America, Europe will also prevail as a lucrative market for lifesciences data mining and visualization market.

On the basis of customer segment, pharmaceuticals will witness the fastest expansion in the market during 2017 to 2026.

In addition, revenues from academia and diagnostics & screening will increase at an approximately equal CAGR through 2026. Sales & marketing will endure as the most lucrative among solution type segments, trailed by operations and supply chain.

Both (on premise and on demand) delivery model and on premise delivery model of lifesciences data mining and visualization will remain preferred among companies in the market.

Based on licensing structure, server-based and user-based early license are set to account for roughly similar revenue shares of the market by 2026-end.

Competition Tracking

Fact.MR’s report imparts forecast and analysis on the global lifesciences data mining and visualization market, tracking the occupancy of major market players through an intensity map. Key companies profiled by the report include 

• MicroStrategy Inc.
• InetSoft Technology Corporation
• Pentaho Corporation
• Dundas Data Visualization Inc.
• Information Builders
• IBM Corporation
• TIBCO Software Inc.
• Oracle Corporation
• Microsoft Corporation
• SAS Institute Inc.
• SAP SE
• Tableau Software.

Market Taxonomy

Lifesciences Data Mining and Visualization Market  Scope Of The Report

Data mining applications greatly benefit all firms involved in the lifesciences industry.

For example, data mining helps insurers in detecting abuse and fraud, organizations can make better decisions related to customer relationship management, and physicians are enabled to identify effective treatments as well as best practices.

As the lifesciences sector continues to evolve, importance of optimizing quality related to capital investment decision increases among companies.

This report, compiled by Fact.MR, provides in-depth analysis of the global lifesciences data mining and visualization market for the forecast period 2017-2026, offering key insights on the growth prospects of the market.

Scope:

The scope of the Fact.MR’s report is to analyze the global lifesciences data mining and visualization market for the forecast period 2017-2026 and offer accurate and unbiased insights to the readers.

Lifesciences data mining and visualization suppliers, stakeholders and manufacturers in the global information and communication technology industry can benefit from the analysis offered in this report.

Comprehensive analysis regarding the impact of technological advancements such as cloud computing, internet of things (IoT), big data and artificial intelligence is detailed in this report.

The comprehensive study throws light on various trends, dynamics and restrains shaping future of the market, which can serve as a platform of further study, interest and understanding for the leading industries, journals and trade magazines pertaining to global lifesciences data mining and visualization market.

Summary:

The report commences with introducing the current market scenario for lifesciences data mining and visualization.

The executive summary section of the report offers insights to users regarding the future scope of the global lifesciences data mining and visualization market.

Brief information on the crucial aspects, statistics and facts on the global lifesciences data mining and visualization market is highlighted in this section.

Overview:

The next section offers an overview of the global lifesciences data mining and visualization market.

This section includes definition of the product – lifesciences data mining and visualization, along with insights on dynamics contributing towards growth of the market.

The overview also throws light on year-on-year growth and market value defining the future progress and decline of the global lifesciences data mining and visualization.

Statistics on the year-on-year growth provides readers with a broader view on expected progress patterns reshaping growth over the forecast period.

In the succeeding section, the report offers insights on major trends, retrains and drivers from demand, supply and macro-economic perspectives.

The report also focuses on impact analysis of key drivers and restraints that offers better decision-making insights to clients.

The report further provides the readers with information on the leading technology and advancements traced in the global lifesciences data mining and visualization market.

Up-to-date information and latest advancements regarding growth opportunities can benefit the leading manufacturers of lifesciences data mining and visualization.

With continuous evolution and advancements in technology, tracking the latest trends and developments is fundamental for lifesciences data mining and visualization manufacturers to formulate key business strategies.

Detailed insights regarding the supply chain, list of distributors, raw material sourcing, cost structure, and pricing analysis are provided in this section.

Considering the wide-scope of the global lifesciences data mining and visualization market, Fact.MR’s report offers in-depth insights on the forecast and segment-wise analysis.

The lifesciences data mining and visualization market has been categorized on the basis of licensing structure, delivery model, solution type, customer segment, and region.

This sections offers comprehensive segmentation analysis, coupled with a detailed country-wise forecast provided on all parameters.

In the last section, the report provides information regarding the competitive landscape, along with a dashboard view of the market players and company analysis.

This competitive intelligence is based on the providers’ categories across the value chain, and their presence in the global lifesciences data mining and visualization market.

Research Methodology

Fact.MR is committed to offer unbiased and independent market research solutions to its clients. Each market report of Fact.MR is compiled after months of exhaustive research.

We bank on a mix of tried-and-tested and innovative research methodologies to offer the most comprehensive and accurate information. Our main sources of research include,

• Primary research
• Secondary research
• Trade research
• Focused interviews
• Social media analysis