Predictive & Prescriptive Analytics Market Size 2020 – Growth Opportunities and Trends, Industry Drivers, Business plans with Share, Competitors Analysis, and Global Revenue Forecast to 2024

The MarketWatch News Department was not involved in the creation of this content. Oct 08,

The MarketWatch News Department was not involved in the creation of this content.

Oct 08, 2020 (The Expresswire) —
The “Predictive and Prescriptive Analytics Market” report provides coverage of current and emerging market trends, market drivers, and insights offered by industry experts. It offers an in-depth analysis and all the information required by the new entrants and emerging players to stay ahead in the competition. The report examines the overall Predictive and Prescriptive Analytics market size, share, opportunities, historical analysis, technological advancements for the forecast period.

Predictive and Prescriptive Analytics Market Dynamics:

● Drivers: (Developing regions growing markets) ● Limitations: (Regional, Key Player facing Issues, Future Barriers for growth) ● Opportunities: (Regional, Growth Rate, Competitive, Consumption)

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Key Players Mentioned in the Predictive and Prescriptive Analytics Market Report:

● Oracle Corporation ● SAP SE ● International Business Machines (IBM) Corporation ● Microsoft Corporation ● SAS Institute Inc. ● Accenture PLC ● Infor Inc. ● Teradata Corporation ● Angoss Corporation ●

Market Overview:

● The predictive and prescriptive analytics market was valued at USD 6.64 billion in 2018 and is expected to reach a value of USD 22.50 billion by 2024 at a CAGR of 22.53% during the forecast period (2019 – 2024). An increasing emphasis has been placed on the need for predictive analytics, with skills to manipulate data and develop custom algorithms in a quest to unlock hidden value. Prescriptive analytics has been moving beyond its core community of operations, research, and management science professionals, and becoming increasingly embedded in business applications. ● – Advanced analytics solution offers a set of techniques that help deal with these challenges through statistical and technical methods, ultimately supporting strategic and fact-based decisions. Owing to this, analytics have become significant for Business Intelligence (BI) across various end-user industries. ● – The demand for BI has been on the rise, in recent years, with enterprises and organizations yearning to enhance productivity and increase sales by adopting automated solutions. BI tools have witnessed a tremendous surge in its adoption across various industries around the world, with the global market for BI and advanced analytics estimated to reach approximately USD 25 billion, by the end of 2020. ● – Data privacy and security issues have raised. Due to the details that are getting generated about the behavioral aspects, users are feeling vulnerable about the confidentiality of data getting generated.

Scope of the Report:

Predictive analytics describes any approach to data mining with an emphasis on prediction (rather than description, classification or clustering). Prescriptive Analytics is a form of advanced analytics which examines data or content and is characterized by techniques such as graph analysis, simulation, complex event processing, neural networks, recommendation engines, heuristics, and machine learning.

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Predictive and Prescriptive Analytics Market Report Includes the Following Insights:

● Predictive and Prescriptive Analytics market growth outlook in terms of value and volume. ● Strategies utilized by different Predictive and Prescriptive Analytics market players. ● Drivers, restraints, opportunities and trends (DROT Analysis) impacting the growth prospect for the Predictive and Prescriptive Analytics over the forecast period. ● End use consumption of the Predictive and Prescriptive Analytics across various regions. ● Identify the ecological impacts of the Predictive and Prescriptive Analytics and what regulations are being imposed on its usage.

Key Market Trends:

Retail is Expected to Hold a Major Market Share

Owing to the rising demand for consumer goods and growth in e-commerce, the retail sector is witnessing significant growth in its sales. This has given rise to the data generated in the industry, with the implementation of big data solutions. Further, increasing competition in the industry has encouraged players to ensure efficient working across various stages in the delivery.
Following are the applications in the retail industry, which generate a significant amount of data and require advanced predictive and prescriptive analytics to excel.
– Customer Identification and Retention: With the help of analysis, it is possible to identify valued customers and retain them, as well as identify potential customers and attract them with valued offers. Customers are less likely to churn if they are similar to your primary target customers. If you have access to data about both your customers and a list of potential customers, this is an excellent opportunity to focus on only those who are less likely to churn. For instance, Walmart, the world’s biggest retailer with over 20,000 stores in 28 countries, is in the process of building the world’ biggest private cloud, to process 2.5 petabytes of data every hour.
– Inventory Planning and Risk Mitigation: Predictive analytics leverages big data and empowers retailers to design their stock, renew administration, and promote methodologies, along with minimizing risk and uncertainty. It is not only essential to predict the pattern on a large scale, but also to look at the minute details. Product inventory and shelf space have always been a retailer’s most valuable resources. Now analytics can be used to determine which products provide the highest level of sales and profits. It helps retailers to plan a variety of assortment mixes and create balanced merchandise planning strategies, with unique market-based, customer-based, fashion-based, and price-based assortments.
– Personalized Customer Service: With a tremendous amount of data, it is easy to start evaluating consumers on a more granular level. Rather than making an enormous campaign that costs thousands and has restricted effect, predictive analytics can customize the showcasing procedure.
– Accurate Insights in Real-time: Big data not only provides oversight, but it also gives insights about an individual. With predictive and prescriptive analytics, one can take a look at every person and assess their purchases continuously, to precisely foresee what they may purchase given their particular purchasing propensities.

North America is Expected to Hold Major Market Share

– The United States leads the North American market for predictive and prescriptive analytics, owing to early and heavy usage of advanced analytics across the majority of its industries. The retail sector in the country is flourishing rapidly. According to the NRF (National Retail Federation), in 2017, for each company closing a store, 2.7 companies were opening stores. This places increased importance on in-store analytics.
– The retail e-commerce sales in the country are expected to increase to USD 735.36 billion by 2023, from USD 504.58 billion in 2018. This has made retailers use predictive analytics to gain a competitive advantage. For instance, the e-commerce leader, Amazon, uses predictive analytics to know exactly what products people buy, browse, and return. Amazon applies deep, data-driven insights to predictive analytics, to make decisions on its product assortment strategy. Using predictive analytics helps Amazon maximize sales, by filling its store shelves and endless aisles online with the merchandise shoppers want.
– According to the National Academy of Medicine, the US healthcare system spends USD 750 billion on unnecessary services. Predictive analytics can reduce the wastage of money and save up to 15% of its budget, by analyzing the likelihood of the particular patient being subjected to a specific disease.
– In the United States, policies, such as the CMS EHR Incentive program and the HiTech Act, have raised investments in healthcare from 2011. This has augmented the adoption of digital solutions, which, in turn, has resulted in thriving in the volumes of data held by a typical healthcare organization. Further, the top six advanced analytics providers, in 2017, were US-based. These vendors of predictive and prescriptive solutions are benefiting significantly, owing to the prospering digital industry in the country.

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What Global Predictive and Prescriptive Analytics Market Report Offers?

● Provides strategic profiling of key players in the Predictive and Prescriptive Analytics market. ● Drawing a competitive landscape for the world Predictive and Prescriptive Analytics industry. ● Describes insights about factors affecting the Predictive and Prescriptive Analytics market growth. ● Analyze the Predictive and Prescriptive Analytics market share based on various factors- price analysis, supply chain analysis etc. ● Extensive analysis of the industry structure along with Predictive and Prescriptive Analytics market forecast 2020-2024. ● Granular Analysis with respect to the current Predictive and Prescriptive Analytics market size and future perspective.

Detailed TOC of Predictive and Prescriptive Analytics Market Forecast Report 2020-2024:

1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study



4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Growing importance of big data with large volumes of data generated, both in structured and unstructured form
4.3.2 Increasing adoption of business analytics and business intelligence
4.4 Market Restraints
4.4.1 Data privacy and security concerns
4.5 Industry Attractiveness – Porter’s Five Force Analysis
4.5.1 Threat of New Entrants
4.5.2 Bargaining Power of Buyers/Consumers
4.5.3 Bargaining Power of Suppliers
4.5.4 Threat of Substitute Products
4.5.5 Intensity of Competitive Rivalry


6.1 End – user Industry
6.1.1 BFSI
6.1.2 Retail
6.1.3 Healthcare
6.1.4 IT and Telecom
6.1.5 Industrial (Manufacturing, Automotive, Energy and Mining)
6.1.6 Government and Defense
6.1.7 Other End- user Industries
6.2 Geography
6.2.1 North America US Canada
6.2.2 Europe UK Germany France Rest of Europe
6.2.3 Asia Pacific China India Japan Rest of Asia-Pacific
6.2.4 Rest of the World Latin America Middle East and Africa

7.1 Company Profiles
7.1.1 Oracle Corporation
7.1.2 SAP SE
7.1.3 International Business Machines (IBM) Corporation
7.1.4 Microsoft Corporation
7.1.5 SAS Institute Inc.
7.1.6 Accenture PLC
7.1.7 Infor Inc.
7.1.8 Teradata Corporation
7.1.9 Angoss Corporation



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