Predictive Analytics Market Report by Business Function (Marketing, Sales, Finance, Human Resource, Operations, and Others), Solution (Customer Analytics, Financial Analytics, Marketing and Sales Analytics, Network Analytics, Risk Analytics, Supply Chain Analytics, Web and Social Media Analytics, Operations Management, Workforce Management, and Others), Service (Deployment/Installation, Training and Consulting, Support and Maintenance), Deployment (Cloud-based, On-premises), Organization Size (Small and Medium Enterprises, Large Enterprises), End Use Industry (Banking, Financial Services and Insurance, Telecommunication and IT, Retail and E-Commerce, Healthcare and Life Science, Manufacturing, Government and Defense, Energy and Utility, Transport and Logistics, Media and Entertainment, and Others), and Region 2024-2032

Predictive Analytics Market Report by Business Function (Marketing, Sales, Finance, Human Resource, Operations, and Others), Solution (Customer Analytics, Financial Analytics, Marketing and Sales Analytics, Network Analytics, Risk Analytics, Supply Chain Analytics, Web and Social Media Analytics, Operations Management, Workforce Management, and Others), Service (Deployment/Installation, Training and Consulting, Support and Maintenance), Deployment (Cloud-based, On-premises), Organization Size (Small and Medium Enterprises, Large Enterprises), End Use Industry (Banking, Financial Services and Insurance, Telecommunication and IT, Retail and E-Commerce, Healthcare and Life Science, Manufacturing, Government and Defense, Energy and Utility, Transport and Logistics, Media and Entertainment, and Others), and Region 2024-2032

Report Format: PDF+Excel | Report ID: SR112024A2746
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Market Overview:

The global predictive analytics market size reached US$ 15.6 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 86.6 Billion by 2032, exhibiting a growth rate (CAGR) of 20.95% during 2024-2032.

Report Attribute
 Key Statistics
Base Year
2023
Forecast Years
2024-2032
Historical Years
2018-2023
Market Size in 2023 US$ 15.6 Billion
Market Forecast in 2032 US$ 86.6 Billion
Market Growth Rate (2024-2032) 20.95%


Predictive analytics stands for a branch of advanced analytics that predicts the likelihood of future events by analyzing historical and current data. It utilizes various statistical techniques to analyze data, such as data mining, machine learning, big data, and artificial intelligence. Predictive analytics helps in reducing financial risks, detecting frauds, improving marketing campaigns, enhancing business efficiency, and providing a better customer experience. As a result, it is widely adopted across diverse sectors, including telecom, IT, retail, healthcare, manufacturing, government, energy, transportation, media and entertainment, etc.

 

 
 

Note: Information in the above chart consists of dummy data and is only shown here for representation purpose. Kindly contact us for the actual market size and trends.

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The rising trend of automation across several industries has propelled the adoption of predictive analytics to evaluate large data volumes and predict future scenarios with high revenue-generating potential. Furthermore, intensive business competition is also augmenting the demand for predictive insights to deploy robust business strategies and enhance decision-making in real-time. Additionally, the expanding e-commerce sector coupled with the rising inclination of online retailers towards customer analytics solutions, is further catalyzing the market growth. Predictive analytics in the e-commerce sector enables retailers to perform real-time analysis of consumer shopping behavior and provides numerous personalized experiences to improve customer retention. The increasing penetration of e-commerce platforms has also propelled the demand for enhanced logistics and warehousing services that deploy supply chain analytics on a real-time basis. Additionally, the rising digitalization levels in the BFSI sector to enhance numerous regulatory compliance processes, such as credit risk management, capital planning, and insurance risk management, are further augmenting the demand for predictive analytics. Apart from this, the increasing penetration of advanced technologies, such as AI, data mining, augmented and virtual reality, big data, machine learning, etc., is also bolstering the adoption of predictive analytics. In the coming years, the growing deployment of cloud-based predictive solutions providing faster data processing and enhanced flexibility in business operations is expected to drive the global market for predictive analytics.

The outbreak of the COVID-19 pandemic in early 2020, has positively influenced the market for predictive analytics. Several businesses are getting inclined towards predictive analytics to study the pandemic effect on consumer behavior, products and pricing, and supply chains, thereby creating workforce, production, and service-based business strategies, accordingly. Additionally, the healthcare sector is leveraging predictive analytics to evaluate pandemic risks, estimated number of infected cases, and potential impact on the resources.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global predictive analytics market report, along with forecasts at the global, regional and country levels from 2024-2032. Our report has categorized the market based on business function, solution, service, deployment, organization size and end use industry.

Breakup by Business Function:

 

 
 

Note: Information in the above chart consists of dummy data and is only shown here for representation purpose. Kindly contact us for the actual market size and trends.

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  • Marketing
  • Sales
  • Finance
  • Human Resource
  • Operations
  • Others
     

Breakup by Solution:

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

Breakup by Service:

  • Deployment/Installation
  • Training and Consulting
  • Support and Maintenance
     

Breakup by Deployment:

  • Cloud-based
  • On-premises
     

Breakup by Organization Size:

  • Small and Medium Enterprises
  • Large Enterprises
     

Breakup by End Use Industry:

  • Banking, Financial Services and Insurance
  • Telecommunication and IT
  • Retail and E-Commerce
  • Healthcare and Life Science
  • Manufacturing
  • Government and Defense
  • Energy and Utility
  • Transport and Logistics
  • Media and Entertainment
  • Others
     

Breakup by Region:

 

 
 

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  • North America
    • United States
    • Canada
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa
     

Competitive Landscape:

The competitive landscape of the industry has also been examined with some of the key players being International Business Machines Corporation, Oracle Corporation, SAP SE, Microsoft Corporation, SAS Institute Inc., Fair Isaac Corporation (FICO), NTT Data Corporation (Nippon Telegraph and Telephone Corporation), Tableau Software LLC (Salesforce.com.Inc), Tibco Software Inc., RapidMiner Inc. and Altair Engineering Inc.

Report Coverage:

Report Features Details
Base Year of the Analysis 2023
Historical Period 2018-2023
Forecast Period 2024-2032
Units US$ Billion
Segment Coverage Business Function, Solution, Service, Deployment, Organization Size, End Use Industry, Region
Region Covered  Asia Pacific, Europe, North America, Latin America, Middle East and Africa
Countries Covered United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico
Companies Covered International Business Machines Corporation, Oracle Corporation, SAP SE, Microsoft Corporation, SAS Institute Inc., Fair Isaac Corporation (FICO), NTT Data Corporation (Nippon Telegraph and Telephone Corporation), Tableau Software LLC (Salesforce.com.Inc), Tibco Software Inc., RapidMiner Inc. and Altair Engineering Inc.
Customization Scope 10% Free Customization
Report Price and Purchase Option Single User License: US$ 3899
Five User License: US$ 4899
Corporate License: US$ 5899
Post-Sale Analyst Support 10-12 Weeks
Delivery Format PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

Key Questions Answered in This Report

We expect the global predictive analytics market to exhibit a CAGR of 20.95% during 2024-2032.

The rising adoption of predictive analytics across several industrial verticals, to evaluate large data volumes and predict future scenarios with high revenue-generating potential, is primarily driving the global predictive analytics market.

The sudden outbreak of the COVID-19 pandemic has led to an increase in the usage of predictive analytics to study the pandemic effect on consumer behavior, products and pricing, and supply chains. Additionally, it is being deployed in the healthcare sector to evaluate pandemic risks, estimated number of infected cases, and potential impact on the resources.

Based on the solution, the global predictive analytics market has been segmented into customer analytics, financial analytics, marketing and sales analytics, network analytics, risk analytics, supply chain analytics, web and social media analytics, operations management, workforce management, and others. Among these, risk analytics currently account for the majority of the total market share.

Based on the deployment, the global predictive analytics market can be divided into cloud-based and on-premises, where on-premises currently exhibit a clear dominance in the market.

Based on the organization size, the global predictive analytics market has been categorized into small and medium enterprises and large enterprises. Currently, large enterprises hold the largest market share.

Based on the end use industry, the global predictive analytics market can be segregated into banking, financial services and insurance (BFSI), telecommunication and IT, retail and e-commerce, healthcare and life science, manufacturing, government and defense, energy and utility, transport and logistics, media and entertainment, and others. Among these, the banking, financial services and insurance (BFSI) industry exhibits a clear dominance in the market.

On a regional level, the market has been classified into North America, Asia Pacific, Europe, Latin America, and Middle East and Africa, where North America currently dominates the global market.

Some of the major players in the global predictive analytics market include International Business Machines Corporation, Oracle Corporation, SAP SE, Microsoft Corporation, SAS Institute Inc., Fair Isaac Corporation (FICO), NTT Data Corporation (Nippon Telegraph and Telephone CORPORATION), Tableau Software LLC (Salesforce.com.Inc), Tibco Software Inc., RapidMiner Inc., and Altair Engineering Inc.

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Predictive Analytics Market Report by Business Function (Marketing, Sales, Finance, Human Resource, Operations, and Others), Solution (Customer Analytics, Financial Analytics, Marketing and Sales Analytics, Network Analytics, Risk Analytics, Supply Chain Analytics, Web and Social Media Analytics, Operations Management, Workforce Management, and Others), Service (Deployment/Installation, Training and Consulting, Support and Maintenance), Deployment (Cloud-based, On-premises), Organization Size (Small and Medium Enterprises, Large Enterprises), End Use Industry (Banking, Financial Services and Insurance, Telecommunication and IT, Retail and E-Commerce, Healthcare and Life Science, Manufacturing, Government and Defense, Energy and Utility, Transport and Logistics, Media and Entertainment, and Others), and Region 2024-2032
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