At 24.5% CAGR, Global Predictive Analytics Market Size to Register Record Value of USD 5.7 Billion by 2026, Says Facts & Factors

[225+ Pages Research Report] According to the recent analysis research report; the global Predictive Analytics Market in 2019 was approximately USD 5.7 Billion. The market is expected to grow at a CAGR of 24.5% and is anticipated to reach around USD 22.1 Billion by 2026. Top market manufacturers are Microsoft Corporation, Oracle Corporation, IBM, SAS Institute, SAP SE, Google, Salesforce, AWS, Teradata Corporation and others.


New York, NY, March 18, 2021 (GLOBE NEWSWIRE) -- Facts and Factors have published a new research report titled “Predictive Analytics Market By Solution (Financial Analytics, Risk Analytics, Marketing Analytics, Sales Analytics, Customer Analytics, Web and Social Media Analytics, Supply Chain Analytics, Network Analytics, and Others), By Service (Managed Services, and Professional Services), By Deployment (Cloud, and On-Premise), By Organization Size (Small And Medium Enterprises, and Large Enterprises), By Methodology (Time Series Analysis, Regression, Decision Trees, and Machine Learning, and By Vertical (Banking, Financial Services, And Insurance, Telecommunications & IT, Retail & Ecommerce, Healthcare & Life Sciences, Manufacturing, Government & Defense, Energy & Utilities, Transportation & Logistics, and Others): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2020 – 2026”.

“According to the research report, the global Predictive Analytics Market was estimated at USD 5.7 Billion in 2019 and is expected to reach USD 22.1 Billion by 2026. The global Predictive Analytics Market is expected to grow at a compound annual growth rate (CAGR) of 24.5% from 2019 to 2026”.

Predictive analytics are used to obtain information from historical and current datasets using stats and modeling techniques to forecast potential future findings and trends. Increasing organizational awareness of massive volumes of data induced to forecasting potential outcomes using predictive analytical solutions influences the market growth.

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Our Free Sample Report Includes:

  • 2020 Updated Report Introduction, Overview, and In-depth industry analysis
  • COVID-19 Pandemic Outbreak Impact Analysis Included
  • 190+ Pages Research Report (Inclusion of Updated Research)
  • Provide Chapter-wise guidance on Request
  • 2020 Updated Regional Analysis with Graphical Representation of Size, Share & Trends
  • Includes Updated List of table & figures
  • Updated Report Includes Top Market Players with their Business Strategy, Sales Volume, and Revenue Analysis
  • Facts and Factors research methodology

(Note: The sample of this report is updated with COVID-19 impact analysis before delivery)

Key Questions Answered in this Report

1) What were the pre and post-business impacts of COVID-19 on the Predictive Analytics Market?

2) What is the market size, share of the Predictive Analytics Market?

3) Who are the top market players in the Predictive Analytics Market?

4) What will be the future market of the Predictive Analytics Market?

Key Offerings:

  • Market Size & Forecast by Revenue | 2020−2026
  • Market Dynamics – Leading trends, growth drivers, restraints, and investment opportunities
  • Market Segmentation – A detailed analysis by product, by types, end-user, applications, segments, and geography
  • Competitive Landscape – Top key vendors and other prominent vendors

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Impact Analysis of COVID-19 Pandemic on Businesses: Know Short Term and Long Term Impact

Most of the businesses are facing a growing litany of business-critical concerns related to the coronavirus outbreak, including supply chain disruptions, a risk of a recession, and a potential drop in consumer spending. All these scenarios will play out differently across various regions and industries, making accurate and timely market research more essential than ever.

We at Facts and Factors (http://www.fnfresearch.com) understand how difficult it is for you to plan, strategize, or make business decisions, and as such, we have your back to support you in these uncertain times with our research insights. Our team of consultants, analysts, and experts has developed an analytical model tool for markets that helps us to assess the impact of the virus more effectively on the industrial markets. We are further implementing these insights into our reports for a better understanding of our clients.

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Surge in the Adoption of Predictive Analytics among End-User

Technology is the key driver of the market for predictive analytics. It is possible in manufacturing and other industries because IoT and data science are implemented. In addition, value-added is another trend that every company strives for now. This is also a major factor in the growth of the global predictive analytics market. In addition, the modernization of automation and other technologies businesses is also expected to drive market growth.

Industry Major Market Players

  • Microsoft Corporation
  •  SAP SE
  •  IBM
  •  SAS Institute
  •  Salesforce
  •  Google
  •  Teradata Corporation
  •  AWS
  •  Alteryx
  •  Inc.
  •  FICO
  •  Altair
  •  TIBCO Software Inc
  •  Cloudera
  •   Infor

To know an additional revised 2020 list of market players, request a sample report: https://www.fnfresearch.com/sample/predictive-analytics-market

Global Predictive Analytics Market: Growth Factors

Growing Industrialization and technological Developments along with the advent of Big Data are mainly driving the market for predictive analytics. However, the lack of skilled IT personnel and the high cost of implementation is expected to limit the market growth. In contrast, the integration of IoT and AI into prediction analytics and an increase in demand for predictive analytics among SMEs are predicted to create profitable growth opportunities during the analysis period for the developments in the global predictive analytics market.

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Global Predictive Analytics Market: Segmentation

Based on the solution, the global market is segmented as risk analytics, financial analytics, sales analytics, marketing analytics, web, and social media analytics, customer analytics, network analytics, and supply chain analytics, among others. On the basis of the service segment, the market is divided into managed services and professional services. The market has been deployed into cloud and on-premise solutions. Based on organization size, the market is segregated into large enterprises and small and medium enterprises. In terms of methodology, the market is bifurcated into time series analysis, decision trees, regression, and machine learning. The global market is further analyzed into telecommunications & IT, manufacturing, banking, financial services, and insurance, healthcare & life sciences, retail & eCommerce, energy & utilities, government & defense, and transportation & logistics, among others. Geographically, the global predictive analytics market is segmented as North America, Europe, Middle East, Asia-Pacific, Latin America, and Middle East & Africa.

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North America is projected To Dominate the Global Predictive Analytics Market

In North America, the United States is the major contributor to the predictive analytics market. It is due to the heavy usage of advanced analytics across several industries. Moreover, the rise in the retail sector in the country is boosting the market demand. Thereby, retail e-commerce sales are expected to increase which will compel the retailers to use predictive analytics to be in competitive advantage. Citing an instance, the global eCommerce market leader Amazon Web Service uses predictive analysis to identify precisely what consumer goods people are buying, browsing, and returning.  Amazon applies deep, data-driven insights into predictive analytics In order to make decisions about its product range strategy. Using predictive analytics, the company maximizes its sales by filling its stores and online endless aisles with desired goods. Certain advantages are encouraging the market players and thereby, it is increasing the market size in this region.

Browse the full “Predictive Analytics Market By Solution (Financial Analytics, Risk Analytics, Marketing Analytics, Sales Analytics, Customer Analytics, Web and Social Media Analytics, Supply Chain Analytics, Network Analytics, and Others), By Service (Managed Services, and Professional Services), By Deployment (Cloud, and On-Premise), By Organization Size (Small And Medium Enterprises, and Large Enterprises), By Methodology (Time Series Analysis, Regression, Decision Trees, and Machine Learning, and By Vertical (Banking, Financial Services, And Insurance, Telecommunications & IT, Retail & Ecommerce, Healthcare & Life Sciences, Manufacturing, Government & Defense, Energy & Utilities, Transportation & Logistics, and Others): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2020 – 2026” report at https://www.fnfresearch.com/predictive-analytics-market

The Global Predictive Analytics market is segmented as follows:

By Solution:

  • Financial Analytics
  • Risk Analytics
  • Marketing Analytics
  • Sales Analytics
  • Customer Analytics
  • Web and Social Media Analytics
  • Supply Chain Analytics
  • Network Analytics
  • Others

By Service:

  • Managed Services
  • Professional Services

By Deployment:

  • Cloud
  • On-Premise

By Organization Size:

  • Small And Medium Enterprises
  • Large Enterprises

By Methodology:

  • Time Series Analysis
  • Regression
  • Decision Trees
  • Machine Learning

By Vertical:

  • Banking, Financial Services, And Insurance
  • Telecommunications & IT
  • Retail & Ecommerce
  • Healthcare & Life Sciences
  • Manufacturing
  • Government & Defense
  • Energy & Utilities
  • Transportation & Logistics
  • Others

KEY REPORT POINTERS & HIGHLIGHTS:

  • Statistically Validated Analysis of Historical, Current, and Projected Industry Trends with Authenticated Market Sizes Information and Data in terms of Value and Volume, wherever applicable
  • Direct and Indirect Factors that Impacted the Industry as well Projected Rationales expected to affect the industry going forward
  • Micro, Meso, Macro, and In-Depth Analysis of Technically relevant and Commercially viable  Segments and Sub-segments of the Market
  • Historical and Projected Company / Vendor / OEM / Supplier Market Shares, Competitive Landscape, and Player Positioning Data
  • Historical and Current Demand (Consumption) and Supply (Production) Scenarios as well as Projected Supply-Demand Scenario Analysis
  • Detailed List of Key Buyers and End-Users (Consumers) analyzed as per Regions and Applications
  • Value Chain and Supply Chain Analysis along with Horizontal and Vertical Integration Scenarios
  • Manufacturing and Production Cost Structure Analysis including Labor Cost, Raw Material Expenses, and Other Manufacturing Expenses, wherever relevant
  • Overview of Key Marketing Strategies and Key Industry vertical Adopted in the Market

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