Revenue growth for any institution depends on the investment made in R&D. In R&D organizations there is a need to take several vital decisions with regards to allocations of funds, monitor the recent technology trends and assess the risks and also manage talent. Much of these are done through experience, the expertise of the organization which is more of an art than science which they have devised their own methods. For short-term projects, these methods might be beneficial but for long term R&D projects adoption of analytics has to be done in industries as there is a need to take decisions regarding what products to develop, competition landscape, intellectual property, patent data, market segmentation etc. The use of analytics in R&D can increase revenue and lower cost, improve accuracy, save time and meet customer’s ever increasing demand. There is a large volume of unstructured or unorganized data in this complex business environment, so there is need to optimize this data using analytics in order to improve their return on investment in R&D.

Market drivers & challenges:

There is a large increase in the amount of data and there is a need to effectively manage the database with appropriate tools for converting them to valuable and structured data for accelerating the growth the R&D organizations. There is a need to take decisions regarding what products to develop, customer behavior, competition landscape, intellectual property, patent data, spending and revenue return analysis. Large organizations are finding it difficult to analyze this large sets of unstructured data, so here is advanced R&D analytics tools come in to extract the relevant and appropriate information. Data being stored is growing exponentially everywhere in many formats which need to be organized and utilized appropriately.

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Data security and privacy concerns are major challenges faced in R&D analytics market. Another challenge was with nomenclature followed by different companies in their data as several standards are designed by themselves internal of organization or by respective government regulations.

Global R&D Analytics Market: Segmentation

Global R&D analytics market is classified into end-user, Size of enterprise, and region. On the basis of the end user, the global R&D analytics market is segmented into Pharmaceuticals, Life sciences, and Clinical Research, Automobile, Aerospace & Defense and others. On basis of size of enterprise global R&D analytics market can be segmented to Large, Medium and Small enterprises. On basis of region global R&D analytics market is segmented into North America, Latin America, Eastern Europe, Western Europe, Asia Pacific Excluding Japan (APEJ), Japan and the Middle East and Africa (MEA).

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Market Overview:

R&D analytics market is expected to witness a high growth rate during the projected period due to increasing popularity of the use of these solutions in all major industries. North America is dominant in R&D analytics market and followed by Western Europe during the period. Asia-Pacific region is expected to grow at a faster rate during the forecast period.

Key Market Players:

Key players in R&D analytics market are Teradata, Oracle Corporation, IBM Corporation, SAS Institute Inc., Tableau Software Inc., Microsoft Corporation, Sisense Inc., SAP SE, and TARGIT. Major players in the R&D analytics market follow the strategy of partnership or acquisition of various local players to gain a competitive edge in the market.

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