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Predictive Analytics Market Trends and Forecast
 
The future of the predictive analytics market looks promising with opportunities in the BFSI (banking, financial services and insurance), manufacturing, retail and ecommerce, government and defence, healthcare and life sciences, energy and utilities, telecommunications and IT, transportation and logistics, media and entertainment, and travel and hospitality markets. The global predictive analytics market is expected to grow with a CAGR of 21% to 23% from 2023 to 2028. The major drivers for this market are rising adoption of big data technologies, developing smart infrastructure projects for 5G services, increasing use of artificial intelligence (AI) and machine learning (ML), and growing usage of IoT based applications.
Predictive Analytics Market by Component, Deployment, Enterprise Size, and End Use Industry

Emerging Trends in the Predictive Analytics Market
Emerging trends, which have a direct impact on the dynamics of the industry, include rising internet proliferation and increasing usage of connected and integrated technologies.
A more than 150-page report is developed to help in your business decisions.  Sample figures with some insights are shown below. To learn the scope, benefits, companies researched and other details of the global predictive analytics market report, please download the report brochure.
Predictive Analytics Market by Segments
Predictive Analytics Market by Segment
The study includes a forecast for the global predictive analytics market by component, deployment, enterprise size, end use industry, and region as follows:
 
Predictive Analytics Market by Component [Value ($B) Shipment Analysis from 2017 to 2028]:
  • Solutions
    • Financial Analytics
    • Risk Analytics
    • Marketing Analytics
    • Sales Analytics
    • Customer Analytics
    • Web and Social Media Analytics
    • Supply Chain Analytics
    • Network Analytics
    • Others
  • Services
    • Professional Services
      • Consulting
      • Deployment and Integration
      • Support and Maintenance
    • Managed Services
Predictive Analytics Market by Deployment [Value ($B) Shipment Analysis from 2017 to 2028]:
  • Cloud
  • On-premise
Predictive Analytics Market by Enterprise Size [Value ($B) Shipment Analysis from 2017 to 2028]:
  • Large enterprise
  • Small and medium-sized enterprise
Predictive Analytics Market by End Use Industry [Value ($B) Shipment Analysis from 2017 to 2028]:
  • BFSI
  • Manufacturing
  • Retail and eCommerce
  • Government and Defense
  • Healthcare and Life Sciences
  • Energy and Utilities
  • Telecommunications and IT
  • Transportation and Logistics
  • Media and Entertainment
  • Travel and Hospitality
  • Others
Predictive Analytics Market by Region [Value ($B) Shipment Analysis from 2017 to 2028]:
  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World
List of Predictive Analytics Companies
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies predictive analytics companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the predictive analytics companies profiled in this report include. 
Predictive Analytics Market Insights
  • Lucintel forecast that cloud is expected to witness the highest growth over the forecast period due to the data security, storage, and privacy concerns. 
  • Within this market, BFSI (banking, financial services and insurance) is expected to remain the largest segment due to the growing government support to secure sensitive national security, rising adoption of advanced financial analytics solutions, and its various advantages, such as fraud detection and customer engagement & targeting.
  • North America will remain the largest region due to the rapid adoption of sophisticated technology, presence of numerous solution providers, and rising R&D activities to support the development of new techniques and methods in the region.
Features of the Predictive Analytics Market
  • Market Size Estimates: Predictive analytics market size estimation in terms of value ($B)
  • Trend And Forecast Analysis: Market trends (2017-2022) and forecast (2023-2028) by various segments and regions.
  • Segmentation Analysis: Predictive analytics market size by various segments, such as by component, deployment, enterprise size, end use industry, and region
  • Regional Analysis: Predictive analytics market breakdown by North America, Europe, Asia Pacific, and the Rest of the World.
  • Growth Opportunities: Analysis on growth opportunities in different by component, deployment, enterprise size, end use industry, and regions for the predictive analytics market.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape for the Predictive analytics market.
  • Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q1. What is the predictive analytics market size?
Answer: The global predictive analytics market is expected to reach an estimated $xx billion by 2028.
Q2. What is the growth forecast for predictive analytics market?
Answer:  The global predictive analytics market is expected to grow with a CAGR of 21% to 23% from 2023 to 2028.
Q3. What are the major drivers influencing the growth of the predictive analytics market?
Answer: The major drivers for this market are rising adoption of big data technologies, developing smart infrastructure projects for 5G services, increasing use of artificial intelligence (AI) and machine learning (ML), and growing usage of IoT based applications.
Q4. What are the major segments for predictive analytics market?
Answer: The future of the predictive analytics market looks promising with opportunities in the BFSI (banking, financial services and insurance), manufacturing, retail and ecommerce, government and defence, healthcare and life sciences, energy and utilities, telecommunications and IT, transportation and logistics, media and entertainment, and travel and hospitality markets.
Q5. What are the emerging trends in predictive analytics market?
Answer: Emerging trends, which have a direct impact on the dynamics of the industry, include rising internet proliferation and increasing usage of connected and integrated technologies.
Q6. Who are the key predictive analytics companies?
Answer: Some of the key predictive analytics companies are as follows:
  • IBM
  • Microsoft
  • Oracle
  • SAP
  • SAS Institute
  • Google
  • Salesforce
Q7. Which predictive analytics segment will be the largest in future?
Answer: Lucintel forecast that cloud is expected to witness the highest growth over the forecast period due to the data security, storage, and privacy concerns. 
Q8. In predictive analytics market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region due to the rapid adoption of sophisticated technology, presence of numerous solution providers, and rising R&D activities to support the development of new techniques and methods in the region.
Q9. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% Customization Without any Additional Cost.
 
This report answers following 11 key questions
Q.1. What are some of the most promising, high-growth opportunities for the predictive analytics market by component (solutions and services), deployment (cloud and on-premise), enterprise size (large enterprise and small and medium-sized enterprise), end use industry (BFSI, manufacturing, retail and ecommerce, government and defence, healthcare and life sciences, energy and utilities, telecommunications and IT, transportation and logistics, media and entertainment, travel and hospitality and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

For any questions related to predictive market or related to predictive companies, predictive market size, predictive market share, predictive analysis, write Lucintel analyst at email: helpdesk@lucintel.com. we will be glad to get back to you soon.
Table of Contents
 
1. Executive Summary
 
2. Global Predictive Analytics Market: Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges
 
3. Market Trends and Forecast Analysis from 2017 to 2028
3.1: Macroeconomic Trends (2017-2022) and Forecast (2023-2028)
3.2: Global Predictive Analytics Market Trends (2017-2022) and Forecast (2023-2028)
3.3: Global Predictive Analytics Market by Component 
3.3.1: Solutions 
3.3.1.1: Financial Analytics
3.3.1.2:  Risk Analytics
3.3.1.3:  Marketing Analytics
3.3.1.4: Sales Analytics
3.3.1.5: Customer Analytics
3.3.1.6:  Web and Social Media Analytics
3.3.1.7: Supply Chain Analytics 
3.3.1.8:  Network Analytics
3.3.1.9: Others 
3.3.2: Services
3.3.2.1: Professional Services
3.3.2.1.1: Consulting
3.3.2.1.2: Deployment and Integration
3.3.2.1.3: Support and Maintenance
3.3.2.2: Managed Services
3.4: Global Predictive Analytics Market by Deployment
3.4.1: Cloud 
3.4.2: On-Premise
3.5: Global Predictive Analytics Market by Enterprise Size
3.5.1: Large enterprise 
3.5.2: Small and Medium-Sized Enterprise
3.6: Global Predictive Analytics Market by End Use Industry
3.6.1: BFSI
3.6.2: Manufacturing
3.6.3: Retail and Ecommerce
3.6.4: Government and Defence
3.6.5: Healthcare and Life Sciences
3.6.6: Energy and Utilities
3.6.7: Telecommunications and IT 
3.6.8: Transportation and Logistics
3.6.9: Media and Entertainment 
3.6.10: Travel and Hospitality 
3.6.11: Others
 
4. Market Trends and Forecast Analysis by Region from 2017 to 2028
4.1: Global Predictive Analytics Market by Region
4.2: North American Predictive Analytics Market
4.2.1: North American Predictive Analytics Market by Component: Solutions and Services
4.2.2: North American Predictive Analytics Market by Enterprise Size: Large Enterprise and Small and Medium-Sized Enterprise
4.3: European Predictive Analytics Market
4.3.1: European Predictive Analytics Market by Component: Solutions and Services
4.3.2: European Predictive Analytics Market by Enterprise Size: Large Enterprise and Small and Medium-Sized Enterprise
4.4: APAC Predictive Analytics Market 
4.4.1: APAC Predictive Analytics Market by Component: Solutions and Services
4.4.2: APAC Predictive Analytics Market by Enterprise Size: Large Enterprise and Small and Medium-Sized Enterprise
4.5: ROW Predictive Analytics Market 
4.5.1: ROW Predictive Analytics Market by Component: Solutions and Services
4.5.2: ROW Predictive Analytics Market by Enterprise Size: Large Enterprise and Small and Medium-Sized Enterprise
 
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
 
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global Predictive Analytics Market by Component 
6.1.2: Growth Opportunities for the Global Predictive Analytics Market by Deployment
6.1.3: Growth Opportunities for the Global Predictive Analytics Market by Enterprise Size 
6.1.4: Growth Opportunities for the Global Predictive Analytics Market by End Use Industry
6.1.5: Growth Opportunities for the Global Predictive Analytics Market by Region
6.2: Emerging Trends in the Global Predictive Analytics Market 
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Predictive Analytics Market 
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Predictive Analytics Market 
6.3.4: Certification and Licensing
 
7. Company Profiles of Leading Players
7.1: IBM
7.2: Microsoft
7.3: Oracle
7.4: SAP
7:5: SAS Institute
7.6: Google 
7.7: Salesforce
 
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Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
  • In-depth interviews of the major players in this market
  • Detailed secondary research from competitors’ financial statements and published data 
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
 
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process. 
 

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