The APAC region is expected to experience extensive growth opportunities in the next few years. The rising demand for predictive analytics, which is cloud-driven and cloud-supported, has resulted in the increase in demand for analytics solutions in the APAC region, thereby resulting in increasing investments and technological advancements across various industries. Companies in this region continue to focus on improving their customer service to drive the competitive differentiation and revenue growth. This is pushing companies to explore hosted and cloud alternatives for premises-based systems. The APAC region has started to grow in the overall predictive analytics market and expected to witness the highest growth rate in the next few years. However, the rising awareness about the increase in business productivity, supplemented with the competently designed predictive analytics solutions offered by the vendors present in this region, have helped APAC in becoming a highly potential region. This region is witnessing an increasing demand for cloud-driven predictive analytics solutions, thereby resulting in increasing investments and technological advancements across the manufacturing industry. Analytics is gaining traction in countries, such as South Korea, Australia, Japan, and New Zealand. The region is witnessing an increase in competition and the wide-spread presence of smart devices and connected machines, resulting in increasing investments and technological advancements across various industry verticals. Opportunities for smaller analytics vendors to introduce innovative predictive analytics solutions for numerous sectors have also increased. All these factors are responsible for the expeditious growth of the predictive analytics market in the APAC region. Additionally, the extensive facilities to deploy and manage applications at economical costs are expected to enhance the growth in this region. Many Asian countries are leveraging on information-intensive data management technologies, and predictive analytics is one of the leading technology trends. Opportunities for smaller analytics vendors to introduce innovative predictive analytics solutions for all the major industry vertical sectors are also expected to increase.

Predictive Analytics Software in Asia-Pacific

Comparing 168 vendors in Predictive Analytics Software across 193 criteria.
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3.6 Online
The primary USP of IBM in Predictive Analytics Software is its ability to provide customers with advanced analytics capabilities and powerful insights which can help companies to make informed decisions and identify potential opportunities. IBM leverages its Machine Learning and Artificial Intelligence solutions to provide customers with an integrated analytics platform to identify trends, uncover patterns, and predict customer behavior in order to drive process automation, increase efficiency, and improve customer experience. IBMs predictive analytics software platform provides customers with the ability to generate actionable insights faster, uncover hidden relationships within their data, and make smarter decisions quickly.
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The USP of RapidMiner Inc in predictive analytics software lies in its ease of use. RapidMiner enables users to easily build predictive models with an intuitive drag-and-drop interface. It also provides powerful data preparation and visualization tools that empower users to quickly extract insights from existing datasets. Furthermore, RapidMiner also offers support for specialized use cases such as text mining and deep learning, making it an ideal choice for organizations seeking an all-in-one predictive analytics software.
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3.3
SAP Predictive Analytics software enables users to create, deploy and maintain various predictive models. These on-premise tools can help users anticipate future behavior and outcomes and better guide the decision-making ability to help grow the business. SAP Predictive Analytics Cloud works alongside the BI and planning tools to visualize, plan and predict context. The tool uses in-memory technology and machine learning to uncover relevant predictive insights in real-time.
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ORACLE Analytics Cloud’s Database Platform allows the use of seamless predictive analytics software within the platform, giving it an edge over other vendors. ORACLE Analytics Cloud helps mine various data types, eradicate movement of data, and deliver actionable insights. Application developers deploy this analytics model along with SQL and R functions. ORACLE Analytics Cloud helps predict the behavior of customers, the gap between the demand and supply, and make better marketing strategies.
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Angoss uses data and predictive modeling to present insights that help users make better decisions faster. It uses advanced statistical algorithms for the prediction of outcomes. These outcomes are generated across all stages of model cycles. It helps improving predictive analytics for organizations looking to monetize their data.
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SAS Advanced Analytics provides users with better response time and faster insights provided by its in-memory analytics. SAS Advanced Predictive Analytics software helps organize data in a structured manner, making it easy to understand and present. It enables the user to analyze past, present, and future models using quality-tested algorithms. Automation of large-scale forecasts is also possible without the need for high levels of technical knowledge.
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Use the full potential of information to unleash the capability of the human resources of an organization.
Information Builders WebFocus RStat is a cost-effective, robust, intuitive, and accurate predictive analytics software. WebFocus can help organizations by extracting meaningful insights from data of any kind. It creates interactive dashboards to consolidate information which increases the chances of actionable insights to be used in the everyday conduct of data-driven businesses.
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FICO Decision Management Suite is an integrated environment for development that is compatible with web as well as mobile applications. It is a platform that handles real-time streaming of data including its visualization, indexing, search, and pre-processing, based on rules that are defined in advance. The company's USP is the ability to provide models based on precise customer requirement to reduce time and cost.
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Alteryx provides information science that can viably and productively tap into a code-free and code-accommodating easy-to-use application. The predictive analytics software requires no coding, however, it is coding friendly for those interested. It has a fantastic interface without code for both analytics modelling and advanced modelling with code. It enables easy deployment and management of analytic models, flexibility, agility, and high speed. It supports visualization tools and all data sources. Alteryx helps find, manage, and understand all sort of analytic information of an organization at a high speed, thereby making better decisions and increasing productivity.
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MicroStrategy’s features and algorithms provide enterprises with advanced predictive analytics capabilities. MicroStrategy is useful for deploying models with governed data. It integrates seamlessly with R and can be connected to any source with the use of APIs. Some of its important features include: Scalable integration with R, incorporation of statistics, ARIMA, etc. and minimal IT support required
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2.6
GoodData is a cloud-based platform with high SLA availability and maintenance. It allows for easy incorporation of already existing data warehouses. It allows the platform to be integrated into web or mobile applications. It is one of the most dominant cloud data warehouse that meets most versatile analytics platform requirements.
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Extensive set of cloud services that enables associations to address business problems, construct, oversee, and convey applications on a massive, worldwide system utilizing various tools and frameworks. Microsoft Azure ML Studio can be used to prepare and manage the data they need for machine learning. It can improve productivity through its powerful capabilities that can integrate the current model cycle with that of the app lifecycle.
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Natural language search and AI-powered bits of knowledge discovery make creating bits of knowledge a characteristic, instinctive, and intuitive experience. Spotfire has strong built-in predictive analytical methods that are smart, yet easy to use. Its intelligent data wrangling helps you clean and modify data, and auto-records it so you can edit it later as well. It is flexible and can scale secured documents as well.
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AXON Predict permits OEMs and enterprises to catch, screen, and break down information. AXON Predict is a product suitable for OEMs as well as large enterprises since it collates, scrutinizes, and analyzes data across networks and provide valuable visual analytical insights to users. This gives users real-time analytics to work with in order to enhance innovation and reduce costs.
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Teradata predictive analytics software provides “Flip the Switch” analytics which allows on-the-fly switching of best campaign users from reverse modeling to forward prediction. Teradata Analytics for Enterprise Applications eradicates the complexity of enterprise application integration, delivers real-time access to integrated data from ERP and other enterprise applications, as well as provides transparency and visibility into business and customer insights.
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2.3
Qlik helps enterprises around the globe move quicker, work smarter, and provide a start-to-finish answer to get an incentive out of information. QlikView helps users compare different sets of data from multiple sources and locations to deliver the most value. Its main features include, interactive participation in session-sharing is possible across different groups which enables users to share their insights formally or informally. It is also possible to access and load data from different locations and from different deployment modes – cloud, on-premise, or big data sources.
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Domino delivers predictive models using ML and AI techniques capturing all the dependencies of experiments. It is perfect for models across cloud databases as well as distributed systems. Powering model-driven organizations to rapidly create and convey models that drive business impact.
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Cloud-based Predictive Intelligence is used to generate insights into the behavior of customers and provides recommendations based on these insights to enhance revenue generation. Delivers reliable and customized experiences over each interaction point through a flexible, adaptable, and versatile stage that addresses enterprise needs.
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