Predictive Analytics Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
Description
Predictive Analytics Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
Growth Factors of Predictive analytics Market
The Predictive analytics market size was valued at USD 14.71 billion in 2023, and the market is now projected to grow from USD 18.02 billion in 2024 to USD 95.30 billion by 2032, exhibiting a CAGR of 23.1% during the forecast period of 2023-2030.
The market for predictive analytics has declined having been affected by COVID-19 pandemic which was characterized by economic instability and companies lacked the enthusiasm to invest. Many enterprises were concentrating on solving urgent business tasks instead of developing long-term analytics projects. The growth of the market is hindered by the supply chain disruptions and the job cuts. Moreover, processing, distribution, and retail sectors, such as manufacturing, retail, experienced a slowdown throughout the pandemic.
The predictive analytics market is growing fast due to the increased amount of data, better machine learning, and general need of analytics in different sectors. Recognition of predictive analytics as a key facet of business helps companies build their efficiency, boost customer focus, and gain the competitive edge. Industries, such as finance, healthcare, retail, and industry are reaping the benefits from these technologies. The present surge in IoT devices and high relevance of big data analytics contribute to the Predictive analytics market growth as well.
There is a growing fast development in the predictive analytics market as the AI and machine learning are improving. Some of the important trends entail the real-time data processing adoption, the increasing use of cloud-based analytics solutions, and the priority of elevating data privacy and security. Sectors such as healthcare, finance, and retail are relying on predictive analytics to do superior decision making and as a result they are targeting specific customers. Additionally, the popularity of the Internet Of Things and big data widens the application of prediction models while the user-friendly analytics platforms make these tools more approachable by a great number of companies.
Comprehensive Analysis of Predictive Analytics Market
The Predictive analytics industry is rising at an exponential rate due to its market segmentation. These segmentations are methodically segregated by deployment, by enterprise type, by application and by end-user. Based on deployment, market is divided into quantum cloud, and on-premise. Based on enterprise type, market is divided into large enterprises and small and medium enterprises (SMEs). Based on application, market is divided into demand forecasting, financial risk forecasting, pricing personalization, predictive maintenance, and others. Based on end-user, market is divided into BFSI, automotive, telecom/media, healthcare, life sciences, retail, energy & utility, government, and others.
The North America holds leading position in predictive analytics market share by benefitting a market size of USD 5.68 billion in 2023. Such dominance results from immense adoption of the most progressive technologies, the vitality of key industry players and massive investments into data-oriented projects. Region’s resilient infrastructure, coupled with steady innovation and R&D, even more boosts the marked and growth rate.
The top players in the market play a crucial role in the industry assuring industrial prospectus growth and setting market standards. These players include, SAP SE (Germany), IBM Corporation (U.S.), TIBCO Software Inc. (U.S.), Amazon Web Services, Inc. (U.S.), Alteryx (Us.S.), Cloudera, Inc. (U.S.), SAS Institute Inc. (U.S.), FICO (U.S.), Accenture (Ireland), AVEVA Group plc (U.K.).
In February 2023, AVEVA, a provider of industrial software, launched its newest software called AVEVA Predictive Analytics.
Segmentation Table
Global Predictive Analytics Market Scope
Study Period 2019-2032
Base Year 2023
Estimated Year 2024
Forecast Period 2024-2032
Historical Period 2019-2022
Growth Rate CAGR of 23.1% from 2024 to 2032
Unit Value (USD Billion)
Segmentation By Deployment
Cloud
On-premise
By Enterprise Type
Large Enterprises
Small and Medium Enterprises (SMEs)
By Application
Demand Forecasting
Financial Risk Forecasting
Pricing Personalization
Predictive Maintenance
Others (Churn Prevention)
By End-user
BFSI
Automotive
Telecom/Media
Healthcare
Life Sciences
Retail
Energy & Utility
Government
Others (Manufacturing, Education)
By Region
North America (By Deployment, By Enterprise Type, By Application, By End-user, and By Country)
- U.S. (By End-user)
- Canada (By End-user)
- Mexico (By End-user)
South America (By Deployment, By Enterprise Type, By Application, By End-user, and By Country)
- Brazil (By End-user)
- Argentina (By End-user)
- Rest of South America
Europe (By Deployment, By Enterprise Type, By Application, By End-user, and By Country)
- U.K. (By End-user)
- Germany (By End-user)
- France (By End-user)
- Italy (By End-user)
- Spain (By End-user)
- Russia (By End-user)
- Benelux (By End-user)
- Nordics (By End-user)
- Rest of Europe
Middle East & Africa (By Deployment, By Enterprise Type, By Application, By End-user, and By Country)Turkey (By End-user)
- Israel (By End-user)
- GCC (By End-user)
- North Africa (By End-user)
- South Africa (By End-user)
- Rest of the Middle East & Africa
Asia Pacific (By Deployment, By Enterprise Type, By Application, By End-user, and By Country)
- China (By End-user)
- Japan (By End-user)
- India (By End-user)
- South Korea (By End-user)
- ASEAN (By End-user)
- Oceania (By End-user)
- Rest of Asia Pacific
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Table of Contents
160 Pages
- 1. Introduction
- 1.1. Definition, By Segment
- 1.2. Research Methodology/Approach
- 1.3. Data Sources
- 2. Executive Summary
- 3. Market Dynamics
- 3.1. Macro and Micro Economic Indicators
- 3.2. Drivers, Restraints, Opportunities and Trends
- 4. Competition Landscape
- 4.1. Business Strategies Adopted by Key Players
- 4.2. Consolidated SWOT Analysis of Key Players
- 4.3. Global Predictive Analytics Key Players Market Share/Ranking, 2023
- 5. Global Predictive Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 5.1. Key Findings
- 5.2. By Deployment (USD)
- 5.2.1. Cloud
- 5.2.2. On-premise
- 5.3. By Enterprise Type (USD)
- 5.3.1. Large Enterprises
- 5.3.2. Small and Medium Enterprises (SMEs)
- 5.4. By Application (USD)
- 5.4.1. Demand Forecasting
- 5.4.2. Financial Risk Forecasting
- 5.4.3. Pricing Personalization
- 5.4.4. Predictive Maintenance
- 5.4.5. Others (Churn Prevention, etc.)
- 5.5. By End-user (USD)
- 5.5.1. BFSI
- 5.5.2. Automotive
- 5.5.3. Telecom/Media
- 5.5.4. Healthcare
- 5.5.5. Life Sciences
- 5.5.6. Retail
- 5.5.7. Energy & Utility
- 5.5.8. Government
- 5.5.9. Others (Manufacturing, Education, etc.)
- 5.6. By Region (USD)
- 5.6.1. North America
- 5.6.2. South America
- 5.6.3. Europe
- 5.6.4. Middle East & Africa
- 5.6.5. Asia Pacific
- 6. North America Predictive Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 6.1. Key Findings
- 6.2. By Deployment (USD)
- 6.2.1. Cloud
- 6.2.2. On-premise
- 6.3. By Enterprise Type (USD)
- 6.3.1. Large Enterprises
- 6.3.2. Small and Medium Enterprises (SMEs)
- 6.4. By Application (USD)
- 6.4.1. Demand Forecasting
- 6.4.2. Financial Risk Forecasting
- 6.4.3. Pricing Personalization
- 6.4.4. Predictive Maintenance
- 6.4.5. Others (Churn Prevention, etc.)
- 6.5. By End-user (USD)
- 6.5.1. BFSI
- 6.5.2. Automotive
- 6.5.3. Telecom/Media
- 6.5.4. Healthcare
- 6.5.5. Life Sciences
- 6.5.6. Retail
- 6.5.7. Energy & Utility
- 6.5.8. Government
- 6.5.9. Others (Manufacturing, Education, etc.)
- 6.6. By Country (USD)
- 6.6.1. United States
- 6.6.1.1. End-user
- 6.6.2. Canada
- 6.6.2.1. End-user
- 6.6.3. Mexico
- 6.6.3.1. End-user
- 7. South America Predictive Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 7.1. Key Findings
- 7.2. By Deployment (USD)
- 7.2.1. Cloud
- 7.2.2. On-premise
- 7.3. By Enterprise Type (USD)
- 7.3.1. Large Enterprises
- 7.3.2. Small and Medium Enterprises (SMEs)
- 7.4. By Application (USD)
- 7.4.1. Demand Forecasting
- 7.4.2. Financial Risk Forecasting
- 7.4.3. Pricing Personalization
- 7.4.4. Predictive Maintenance
- 7.4.5. Others (Churn Prevention, etc.)
- 7.5. By End-user (USD)
- 7.5.1. BFSI
- 7.5.2. Automotive
- 7.5.3. Telecom/Media
- 7.5.4. Healthcare
- 7.5.5. Life Sciences
- 7.5.6. Retail
- 7.5.7. Energy & Utility
- 7.5.8. Government
- 7.5.9. Others (Manufacturing, Education, etc.)
- 7.6. By Country (USD)
- 7.6.1. Brazil
- 7.6.1.1. End-user
- 7.6.2. Argentina
- 7.6.2.1. End-user
- 7.6.3. Rest of South America
- 8. Europe Predictive Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 8.1. Key Findings
- 8.2. By Deployment (USD)
- 8.2.1. Cloud
- 8.2.2. On-premise
- 8.3. By Enterprise Type (USD)
- 8.3.1. Large Enterprises
- 8.3.2. Small and Medium Enterprises (SMEs)
- 8.4. By Application (USD)
- 8.4.1. Demand Forecasting
- 8.4.2. Financial Risk Forecasting
- 8.4.3. Pricing Personalization
- 8.4.4. Predictive Maintenance
- 8.4.5. Others (Churn Prevention, etc.)
- 8.5. By End-user (USD)
- 8.5.1. BFSI
- 8.5.2. Automotive
- 8.5.3. Telecom/Media
- 8.5.4. Healthcare
- 8.5.5. Life Sciences
- 8.5.6. Retail
- 8.5.7. Energy & Utility
- 8.5.8. Government
- 8.5.9. Others (Manufacturing, Education, etc.)
- 8.6. By Country (USD)
- 8.6.1. United Kingdom
- 8.6.1.1. End-user
- 8.6.2. Germany
- 8.6.2.1. End-user
- 8.6.3. France
- 8.6.3.1. End-user
- 8.6.4. Italy
- 8.6.4.1. End-user
- 8.6.5. Spain
- 8.6.5.1. End-user
- 8.6.6. Russia
- 8.6.6.1. End-user
- 8.6.7. Benelux
- 8.6.7.1. End-user
- 8.6.8. Nordics
- 8.6.8.1. End-user
- 8.6.9. Rest of Europe
- 9. Middle East & Africa Predictive Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 9.1. Key Findings
- 9.2. By Deployment (USD)
- 9.2.1. Cloud
- 9.2.2. On-premise
- 9.3. By Enterprise Type (USD)
- 9.3.1. Large Enterprises
- 9.3.2. Small and Medium Enterprises (SMEs)
- 9.4. By Application (USD)
- 9.4.1. Demand Forecasting
- 9.4.2. Financial Risk Forecasting
- 9.4.3. Pricing Personalization
- 9.4.4. Predictive Maintenance
- 9.4.5. Others (Churn Prevention, etc.)
- 9.5. By End-user (USD)
- 9.5.1. BFSI
- 9.5.2. Automotive
- 9.5.3. Telecom/Media
- 9.5.4. Healthcare
- 9.5.5. Life Sciences
- 9.5.6. Retail
- 9.5.7. Energy & Utility
- 9.5.8. Government
- 9.5.9. Others (Manufacturing, Education, etc.)
- 9.6. By Country (USD)
- 9.6.1. Turkey
- 9.6.1.1. End-user
- 9.6.2. Israel
- 9.6.2.1. End-user
- 9.6.3. GCC
- 9.6.3.1. End-user
- 9.6.4. North Africa
- 9.6.4.1. End-user
- 9.6.5. South Africa
- 9.6.5.1. End-user
- 9.6.6. Rest of MEA
- 10. Asia Pacific Predictive Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 10.1. Key Findings
- 10.2. By Deployment (USD)
- 10.2.1. Cloud
- 10.2.2. On-premise
- 10.3. By Enterprise Type (USD)
- 10.3.1. Large Enterprises
- 10.3.2. Small and Medium Enterprises (SMEs)
- 10.4. By Application (USD)
- 10.4.1. Demand Forecasting
- 10.4.2. Financial Risk Forecasting
- 10.4.3. Pricing Personalization
- 10.4.4. Predictive Maintenance
- 10.4.5. Others (Churn Prevention, etc.)
- 10.5. By End-user (USD)
- 10.5.1. BFSI
- 10.5.2. Automotive
- 10.5.3. Telecom/Media
- 10.5.4. Healthcare
- 10.5.5. Life Sciences
- 10.5.6. Retail
- 10.5.7. Energy & Utility
- 10.5.8. Government
- 10.5.9. Others (Manufacturing, Education, etc.)
- 10.6. By Country (USD)
- 10.6.1. China
- 10.6.1.1. End-user
- 10.6.2. India
- 10.6.2.1. End-user
- 10.6.3. Japan
- 10.6.3.1. End-user
- 10.6.4. South Korea
- 10.6.4.1. End-user
- 10.6.5. ASEAN
- 10.6.5.1. End-user
- 10.6.6. Oceania
- 10.6.6.1. End-user
- 10.6.7. Rest of Asia Pacific
- 11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
- 11.1. SAP SE
- 11.1.1. Overview
- 11.1.1.1. Key Management
- 11.1.1.2. Headquarters
- 11.1.1.3. Offerings/Business Segments
- 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.1.2.1. Employee Size
- 11.1.2.2. Past and Current Revenue
- 11.1.2.3. Geographical Share
- 11.1.2.4. Business Segment Share
- 11.1.2.5. Recent Developments
- 11.2. IBM Corporation
- 11.2.1. Overview
- 11.2.1.1. Key Management
- 11.2.1.2. Headquarters
- 11.2.1.3. Offerings/Business Segments
- 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.2.2.1. Employee Size
- 11.2.2.2. Past and Current Revenue
- 11.2.2.3. Geographical Share
- 11.2.2.4. Business Segment Share
- 11.2.2.5. Recent Developments
- 11.3. TIBCO Software Inc.
- 11.3.1. Overview
- 11.3.1.1. Key Management
- 11.3.1.2. Headquarters
- 11.3.1.3. Offerings/Business Segments
- 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.3.2.1. Employee Size
- 11.3.2.2. Past and Current Revenue
- 11.3.2.3. Geographical Share
- 11.3.2.4. Business Segment Share
- 11.3.2.5. Recent Developments
- 11.4. Amazon Web Services, Inc.
- 11.4.1. Overview
- 11.4.1.1. Key Management
- 11.4.1.2. Headquarters
- 11.4.1.3. Offerings/Business Segments
- 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.4.2.1. Employee Size
- 11.4.2.2. Past and Current Revenue
- 11.4.2.3. Geographical Share
- 11.4.2.4. Business Segment Share
- 11.4.2.5. Recent Developments
- 11.5. Alteryx
- 11.5.1. Overview
- 11.5.1.1. Key Management
- 11.5.1.2. Headquarters
- 11.5.1.3. Offerings/Business Segments
- 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.5.2.1. Employee Size
- 11.5.2.2. Past and Current Revenue
- 11.5.2.3. Geographical Share
- 11.5.2.4. Business Segment Share
- 11.5.2.5. Recent Developments
- 11.6. Cloudera, Inc.
- 11.6.1. Overview
- 11.6.1.1. Key Management
- 11.6.1.2. Headquarters
- 11.6.1.3. Offerings/Business Segments
- 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.6.2.1. Employee Size
- 11.6.2.2. Past and Current Revenue
- 11.6.2.3. Geographical Share
- 11.6.2.4. Business Segment Share
- 11.6.2.5. Recent Developments
- 11.7. SAS Institute Inc.
- 11.7.1. Overview
- 11.7.1.1. Key Management
- 11.7.1.2. Headquarters
- 11.7.1.3. Offerings/Business Segments
- 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.7.2.1. Employee Size
- 11.7.2.2. Past and Current Revenue
- 11.7.2.3. Geographical Share
- 11.7.2.4. Business Segment Share
- 11.7.2.5. Recent Developments
- 11.8. FICO
- 11.8.1. Overview
- 11.8.1.1. Key Management
- 11.8.1.2. Headquarters
- 11.8.1.3. Offerings/Business Segments
- 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.8.2.1. Employee Size
- 11.8.2.2. Past and Current Revenue
- 11.8.2.3. Geographical Share
- 11.8.2.4. Business Segment Share
- 11.8.2.5. Recent Developments
- 11.9. Accenture
- 11.9.1. Overview
- 11.9.1.1. Key Management
- 11.9.1.2. Headquarters
- 11.9.1.3. Offerings/Business Segments
- 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.9.2.1. Employee Size
- 11.9.2.2. Past and Current Revenue
- 11.9.2.3. Geographical Share
- 11.9.2.4. Business Segment Share
- 11.9.2.5. Recent Developments
- 11.10. AVEVA Group plc
- 11.10.1. Overview
- 11.10.1.1. Key Management
- 11.10.1.2. Headquarters
- 11.10.1.3. Offerings/Business Segments
- 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.10.2.1. Employee Size
- 11.10.2.2. Past and Current Revenue
- 11.10.2.3. Geographical Share
- 11.10.2.4. Business Segment Share
- 11.10.2.5. Recent Developments
- 12. Key Takeaways
Pricing
Currency Rates
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