The global life science analytics market size is expected to reach USD 13.2 billion by 2027, according to a new report by Grand View Research, Inc. The market is expected to expand at a CAGR of 7.9% from 2020 to 2027. Rising applications of advanced analytics in life science applications and increasing demand from the pharmaceutical and medical device industry are the major parameters driving the market. Analytics are used widely used in the life science analytics industry to assess risk, assessment of the effectiveness of clinical trials, provide personalized medicine, develop faster and more productive research and development pipeline, forecasting profits, budgeting, controlling product price, and predict virus evolution.
The rising adoption of big data and artificial intelligence in the healthcare sector is estimated to drive the market during the forecast period. A survey conducted by Applied Clinical Trials in 2016 depicted that 58.0% of the clinical trials industry professionals consider big data in clinical trials as extremely important while 32.0% considered it moderately important. Furthermore, the growing impact of social media on the healthcare sector is fueling the growth of the market. As of 2016, the CDC has 18 Facebook profiles with a reach of 370,000 populations; a YouTube channel with over 8.8 million public views; 13 blogs; LinkedIn accounts; mobile apps, and many other reaches through social networking. The concept of social media is enabling the organizations to facilitate the integration of multiple information in a platform, rationalize the cost, & better target the providers and consumers (or patients).
mHealth, Electronic Health Records (EHR), eHealth, and mobile applications along with artificial and human intelligence data analytics are offering opportunities for customization of medical approaches, which in turn is increasing demand for data analytic tools in the life science industry over the forecast period. According to the Personalized Medicine Coalition, the number of drugs manufactured by personal medicine approaches has grown by 62% since 2012. Moreover, strategies adopted by key players such as partnerships, product launches, collaborations, mergers & acquisitions, and government initiatives are further boosting the market. For instance, in April 2016, IBM acquired Truven Health Analytics, a leading provider of cloud-based healthcare data and analytics, to strengthen its Watson Health portfolio. This was expected to give the company access to over 8,500 clients of Truven Health Analytics.
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Life Science Analytics Market Report Highlights
- Descriptive analytics emerged as the leading type segment in 2019 with a revenue share of 36.0% in the market
- Based on components, the services segment accounted for the largest revenue share in 2019 and is also projected to expand at the fastest CAGR during the forecast period
- Amongst the application segment, sales and marketing support accounted for the largest revenue share in 2019, whereas research and development is projected to expand at the fastest CAGR during the forecast period
- Amongst the delivery segment, on-premises accounted for the largest revenue share in 2019, whereas on-demand is projected to expand at the fastest CAGR during the forecast period
- Based on end-user, the pharmaceuticals segment accounted for the largest revenue share in 2019, whereas biotechnology is projected to expand at the fastest CAGR during the forecast period
- North America accounted for the largest revenue share due to increasing government support and growing demand for analytics from life science companies.
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Life Science Analytics Market Segmentation
Grand View Research has segmented the life science analytics market on the basis of type, component, application, delivery, end-user, and region:
Life Science Analytics Type Outlook (Revenue, USD Million, 2014 – 2027)
- Reporting
- Descriptive
- Predictive
- Prescriptive
Life Science Analytics Component Outlook (Revenue, USD Million, 2014 – 2027)
- Software
- Services
Life Science Analytics Application Outlook (Revenue, USD Million, 2014 – 2027)
- Research and Development
- Sales and Marketing
- Regulatory Compliance
- Supply Chain Analytics
- Pharmacovigilance
Life Science Analytics Delivery Outlook (Revenue, USD Million, 2014 – 2027)
- On-demand
- On-premises
Life Science Analytics End-user Outlook (Revenue, USD Million, 2014 – 2027)
- Medical Devices
- Pharmaceutical
- Biotechnology
- Others
Key Topic Covered
Research Methodology
Grand View Research employs comprehensive and iterative research methodology focused on minimizing deviance in order to provide the most accurate estimates and forecast possible. The company utilizes a combination of bottom-up and top-down approaches for segmenting and estimating quantitative aspects of the market. In Addition, a recurring theme prevalent across all our research reports is data triangulation that looks market from three different perspectives. Critical elements of methodology employed for all our studies include:
Preliminary data mining
Raw market data is obtained and collated on a broad front. Data is continuously filtered to ensure that only validated and authenticated sources are considered. In addition, data is also mined from a host of reports in our repository, as well as a number of reputed paid databases. For comprehensive understanding of the market, it is essential to understand the complete value chain and in order to facilitate this; we collect data from raw material suppliers, distributors as well as buyers.
Technical issues and trends are obtained from surveys, technical symposia, and trade journals. Technical data is also gathered from intellectual property perspective, focusing on white space and freedom of movement. Industry dynamics with respect to drivers, restraints, pricing trends are also gathered. As a result, the material developed contains a wide range of original data that is then further cross-validated and authenticated with published sources.
Statistical model
Our market estimates and forecasts are derived through simulation models. A unique model is created customized for each study. Gathered information for market dynamics, technology landscape, application development, and pricing trends are fed into the model and analyzed simultaneously. These factors are studied on a comparative basis, and their impact over the forecast period is quantified with the help of correlation, regression, and time series analysis. Market forecasting is performed via a combination of economic tools, technological analysis, and industry experience and domain expertise.
Econometric models are generally used for short-term forecasting, while technological market models are used for long-term forecasting. These are based on an amalgamation of technology landscape, regulatory frameworks, economic outlook and business principles. A bottom-up approach to market estimation is preferred, with key regional markets analyzed as separate entities and integration of data to obtain global estimates. This is critical for a deep understanding of the industry as well as ensuring minimal errors. Some of the parameters considered for forecasting include:
• Market drivers and restraints, along with their current and expected impact
• Raw material scenario and supply v/s price trends
• Regulatory scenario and expected developments
• Current capacity and expected capacity additions up to 2027
We assign weights to these parameters and quantify their market impact using weighted average analysis, to derive an expected market growth rate.
Primary validation
This is the final step in estimating and forecasting for our reports. Exhaustive primary interviews are conducted, on face to face as well as over the phone to validate our findings and assumptions used to obtain them. Interviewees are approached from leading companies across the value chain including suppliers, technology providers, domain experts, and buyers so as to ensure a holistic and unbiased picture of the market. These interviews are conducted across the globe, with language barriers overcome with the aid of local staff and interpreters. Primary interviews not only help in data validation but also provide critical insights into the market, current business scenario, and future expectations and enhance the quality of our reports. All our estimates and forecast are verified through exhaustive primary research with Key Industry Participants (KIPs) which typically include:
• Market leading companies
• Raw material suppliers
• Product distributors
• Buyers
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About Grand View Research
Grand View Research provides syndicated as well as customized research reports and consulting services on 46 industries across 25 major countries worldwide. This U.S.-based market research and consulting company is registered in California and headquartered in San Francisco. Comprising over 425 analysts and consultants, the company adds 1200+ market research reports to its extensive database each year. Supported by an interactive market intelligence platform, the team at Grand View Research guides Fortune 500 companies and prominent academic institutes in comprehending the global and regional business environment and carefully identifying future opportunities.
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