Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. Predictive analytics support organizations to predict future events so that they can plan and carry out strategies that improve the decision-making process.
The United Kingdom predictive analytics market is expected to grow from $171.1 million in 2014 to $487.5 million by 2019, at a CAGR of 23.3% during the forecast period. The drivers of this market include huge data deluge and product usability for experts and non-experts. The U.K. market is growing steadily due to the analysis of high volume data, the velocity of data growth, and the variety of data used for effective business decisions. Real-time data is important for verticals such as BFSI and healthcare, among others, for the efficient processing of unstructured data. Apart from this, using advanced predictive analytics tools can enable the expansion of the market because training is not needed and anyone (experts and non-experts) can use these tools.
The U.K. predictive analytics market report provides a competitive benchmarking of leading players in the industry such as SAS, IBM, SAP, Tibco, Oracle, and others in terms of their product offerings, key strategies, and operational parameters. The report provides market trends, overall adoption scenarios, competitive landscape, and key drivers, restraints, and opportunities in this market. It aims to estimate the current size and the future growth potential of this market across the different applications, verticals, and regions.
Report Options
The report has been segmented as follows:
- By Application: Customer Profitability, Workforce Management, Internal Fraud, Corporate Fraud, Credit Risk Management, and Others
- By Vertical: BFSI, Healthcare, Insurance, Government, Consumer Goods and Retail, Transportation and Logistics, Manufacturing, and Others
Customization Options
With the MMM assessment, we will best meet your company’s specific customization requirements. The following customization options provide an insight into comprehensive industry standards and a deep-dive analysis:
Solutions Matrix
- Comprehensive analysis and benchmarking of applications and solutions in the predictive analytics market
- Comprehensive analysis of software offered by vendors such as SAS enterprise miner, IBM SPSS Modeler, Angoss predictive analytics, MATLAB, and others
Competitive Benchmarking
- Value-chain evaluation using events, developments, and market data for vendors in the market ecosystem across various industrial verticals, market segmentation and categorization
- Identification of hidden opportunities by connecting related markets using cascaded value-chain analysis; for example, validation of the growth in the predictive analytics market due to corresponding growth in the big data market
Vendor Landscaping
- Vendor market watch and predictions, vendor market shares and offerings, categorization of adoption trends, and market dominance (leaders, challengers, followers, nichers)
R&D Watch
- Market movement tracking in R&D space; for instance, algorithm optimization firms, statistical analysis firms, deep learning firms, academic institutions (tier-1 firms and major emphasis on tier-2/3 firms)
Client Tracker
- Listing and analysis of deals, case studies, R&D investments, events, discussion forums, alliances, and partners of tier-1 and tier-2/3 vendors for the last 3 years
- Analysis of events such as new product developments, mergers and acquisitions, and others for the last two years as well as the current year
Vertical Analysis
- Analysis of different industrial verticals by technologies and solutions
- Industry verticals: Defense, Healthcare, BFSI, Retail, Manufacturing, Education, Security, Logistics, IT and Telecom, and others
Market Data Tracker
- Regional and country-specific market forecast and analysis
- Identification of key end-user segments by country
Channel Analysis
- Channel/distribution partners/alliances for tier-1 vendors
- Application-specific products being built towards the customer end of value chain
1 Introduction
1.1 Objective of the study
1.2 Market Definitions
1.3 Market Segmentation & Aspects Covered
1.4 Research Methodology
1.4.1 Assumptions (Market Size, Forecast, etc)
2 Executive Summary
3 Market Overview
4 Predictive Analytics-United Kingdom, By Companies
4.1 Competitive landscape
4.2 Predictive Analytics-SAS-United Kingdom
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