Pune, India -- (SBWIRE) -- 03/15/2019 -- Predictive marketing uses data science to accurately predict which marketing actions and strategies are most likely to succeed by testing its persuasiveness. This is done by providing insights from the holistic framework of CRM, sales, social media marketing and other data sources. The combination of data presents a comprehensive view of customer behaviors. Such algorithms are being used across various industries. Amazon, a multinational technology company focusing on e-commerce, cloud computing, and artificial intelligence uses predictive analytics to personalize recommendations for each customer. Customers' data are collected based on their past purchases, and the company uses this data to forecast possible future purchases. The recommendations are further refined based on client's additional transactions. By using the technology, the end users of predictive analytics market are able to make timely product suggestions to their existing customers.

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Marketing departments across various industrial verticals, leverage predictive analytics for identifying potential customers. The identification of buying pattern opens the gateway for cross selling and upselling. Advertising, a major subset of marketing too has been hugely benefitting from predictive analytics. Using the data collected from various sources, potential clients are segmented into very specific interest groups and demographics. Personalized advertisement content is delivered to promote products and services. Thus, the benefits of predictive marketing is majorly influencing the sales and growth and simultaneously showcases the potential to expand an organization's businesses even further.

"During the next six years, multiple facets of marketing is going to experience positive radical effects of predictive analytics market. Predictive marketing enables dynamic response to varied customer behavior observed across multiple channels and segments. Hence, leveraging predictive analytics software for marketing, increases the success rate with marketing campaigns."

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The detailed research study provides qualitative and quantitative analysis of the global predictive analytics market. The predictive analytics market has been analyzed from demand as well as supply side. The demand side analysis covers market revenue across regions and further, across all the major countries. The geographical analysis done emphasizes on each of the major countries across North America, Europe, Asia Pacific, Middle East, Africa, and Latin America.

Some of the major players operating in the global predictive analytics market are Anaconda Inc., Buxton, Dataiku, DataRobot, Inc., Fair Isaac Corporation, Funnel Science, GoodData Corporation, IBM Corporation, KNIME AG, Microsoft, Minitab, LLC, Oracle, RapidMiner, Inc., SAS Institute Inc., Sisense Inc., Softweb Solutions Inc., TIBCO Software Inc., Wolfram amongst others.

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By Offering
- Solution
- Services
- Managed Services
- Professional Services
- Support and Maintenance
- Consulting
- Training

By Methodology
- Time Series Analysis
- Regression
- Linear
- Logistics
- Decision Trees
- Machine Learning

By Application
- Financial
- Risk Management
- Marketing
- Sales
- Customer Relation
- Web and Social Media
- Supply Chain
- Network

By Deployment
- On Cloud
- On Premise

By Organization Size
- Small and Medium Enterprises
- Large Enterprises

By Vertical
- Banking, Financial Services, and Insurance
- Telecommunications and IT
- Retail and Ecommerce
- Healthcare and Life Sciences
- Manufacturing
- Government and Defense
- Energy and Utilities
- Transportation and Logistics
- Others

By Region
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- France
- The UK
- Spain
- Germany
- Italy
- Nordic Countries
- Denmark
- Finland
- Iceland
- Sweden
- Norway
- Benelux Union
- Belgium
- The Netherlands
- Luxembourg
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- New Zealand
- Australia
- South Korea
- Southeast Asia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Rest of Southeast Asia
- Rest of Asia Pacific
- Middle East & Africa
- Saudi Arabia
- UAE
- Egypt
- Kuwait
- South Africa
- Rest of Middle East & Africa
- Latin America
- Brazil
- Argentina
- Rest of Latin America

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