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.
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.
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.
The report covers exhaustive analysis on:
- Global R&D Analytics market segments
- Global R&D Analytics market dynamics
- Historical Actual Market Size, 2014 – 2015
- Global R&D Analytics market size & forecast 2016 to 2026
- Ecosystem analysis
- Global R&D Analytics market current trends/issues/challenges
- Competition & Companies involved technology
- Value Chain
- Global R&D Analytics market drivers and restraints
Regional analysis for global R&D Analytics market includes development of these technologies in the following regions:
- North America
- Latin America
- Rest of Latin America
- Western Europe
- Western Europe
- Rest of the Western Europe
- Eastern Europe
- Asia Pacific
- Australia and New Zealand (A&NZ)
- Rest of Asia Pacific
- The Middle East and Africa
- GCC Countries
- North Africa
- South Africa
- Rest of MEA
The report is a compilation of first-hand information, qualitative, and quantitative assessment by industry analysts, inputs from industry experts and industry participants across the value chain. The report provides in-depth analysis of parent market trends, macroeconomic indicators and governing factors along with market attractiveness as per segments. The report also maps the qualitative impact of various market factors on market segments and geographies.
R And D Analytics Market
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
- Life sciences
- Clinical Research
On basis of size of enterprise global R&D analytics market can be segmented to
- Small enterprises
- Detailed overview of parent market
- Changing market dynamics in the industry
- In-depth market segmentation
- Historical, current and projected market size in terms of volume and value
- Recent industry trends and developments
- Competitive landscape
- Strategies of key players and products offered
- Potential and niche segments, geographical regions exhibiting promising growth
- A neutral perspective on market performance
- Must-have information for market players to sustain and enhance their market footprint
Market Research Methodology - Perfected through Years of Diligence
A key factor for our unrivaled market research accuracy is our expert- and data-driven research methodologies. We combine an eclectic mix of experience, analytics, machine learning, and data science to develop research methodologies that result in a multi-dimensional, yet realistic analysis of a market.