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Predictive Analytics Market Analysis and Forecast to 2032: By Solution (Customer Analytics, Financial Analytics, Marketing & Sales Analytics, Network Analytics, Risk Analytics, Supply Chain Analytics, Web & Social Media Analytics, Others), Service (Deplo

Publisher Global Insight Services
Published Jun 28, 2023
Length 159 Pages
SKU # GIS18070905

Description

Predictive Analytics Market Analysis and Forecast to 2032: By Solution (Customer Analytics, Financial Analytics, Marketing & Sales Analytics, Network Analytics, Risk Analytics, Supply Chain Analytics, Web & Social Media Analytics, Others), Service (Deployment/ Installation, Support & Maintenance, Training & Consulting), Deployment (Cloud, On-premise), Enterprise Size (Small & Medium Enterprises, Large Enterprises), End-Use (Aerospace & Defense, Automotive & Transportation, BFSI, Healthcare, IT & Telecommunication, Media & Entertainment, Retail & Ecommerce, Others), and Region


Predictive analytics market technology is a branch of data science that deals with making predictions about future events based on historical data. This technology is used in a variety of fields, such as marketing, finance, and healthcare.

Predictive analytics uses a variety of methods to make predictions, such as statistical modeling, machine learning, and artificial intelligence. These methods are used to analyze data from a variety of sources, such as customer data, financial data, and social media data.

Predictive analytics can be used to make a variety of predictions, such as the likelihood of a customer making a purchase, the probability of a financial event occurring, or the likelihood of a patient developing a certain disease.
Key Trends and Drivers
Some of the key trends in predictive analytics market are:

Predictive analytics is being used for a wide range of applications such as fraud detection, risk management, customer segmentation, and marketing campaign management.
The increasing availability of data is one of the major drivers of the predictive analytics market. Organizations are increasingly generating large amounts of data from various sources such as social media, transaction data, and clickstream data.
The rising need for better decision-making is another major factor driving the growth of the predictive analytics market. Organizations are using predictive analytics to gain insights into future trends and make better decisions.
The growing popularity of cloud-based predictive analytics solutions is another key trend in the market. Cloud-based solutions offer flexibility and scalability, which are important factors for organizations.

Restraints & Challenges
Key restraints and challenges in predictive analytics market are data interpretation, data availability, and model deployment.

Data interpretation is a challenge in predictive analytics as it is often difficult to understand why a certain result was generated. This can be due to the complex nature of the algorithms used or the data itself. Data availability is also a challenge, as not all data is accessible or of good quality. This can limit the accuracy of predictions. Model deployment is another challenge, as it can be difficult to deploy predictive models into production environments. This can be due to technical limitations or lack of resources.
Market Segments
The Predictive Analytics Market has been segmented into Deployment Mode, type, Service, Enterprise size, End-use, and region. Based on Deployment Mode, the Predictive Analytics Market has been segmented into Cloud-based, and On-premise. Based on Type, it is bifurcated into Customer Analytics, Financial Analytics, Network Analytics, Marketing & Sales Analytics, and others. Based on Service, it is bifurcated into Deployment/ Installation, Support & Maintenance, and Training & Consulting. On the basis of the Enterprise size, the market is segmented into Large Enterprises, and Small & Medium Enterprises. Based on the End-use, it is bifurcated into Aerospace & Defense, BFSI, Automotive & Transportation, Healthcare, and others. Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and the Rest of the World (ROW).
Key Players
The Predictive Analytics Market is fragmented with the presence of a several players globally. Key companies profiled in the IBM Corporation, SAP ERP, CPI Card Group Inc., Siemens AG, General Electric Company, Schneider Electric SE, NTT Data Corporation, Oracle Corporation, SAS Institute Inc., Tableau Software Inc., and others.




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Table of Contents

159 Pages
Chapter 1. Predictive Analytics Market Overview
1.1 Objectives of the Report
1.2 Market Definition and Scope of the Report
1.3 Research Limitations
1.4 Research Methodologies
1.4.1 Secondary Research
1.4.2 Market Size Estimation Technique
1.4.3 Forecasting
1.4.4 Primary Research and Data Validation
Chapter 2. Executive Summary
2.1 Summary
2.2 Key Findings of the Market
Chapter 3. Premium Insights on the Market
3.1 Market Attractiveness Analysis, by Region
3.2 Market Attractiveness Analysis, by Deployment Mode
3.3 Market Attractiveness Analysis, by Type
3.4 Market Attractiveness Analysis, by Service
3.5 Market Attractiveness Analysis, by Enterprise size
3.6 Market Attractiveness Analysis, by End-use
Chapter 4. Predictive Analytics Market Outlook
4.1 Market Segmentation
4.2 Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunities
4.3 Porters Five Forces Analysis
4.3.1 Bargaining Power of Buyers
4.3.2 Bargaining Power of Suppliers
4.3.3 Threat of New Entrants
4.3.4 Threat of Substitution
4.3.5 Competitive Rivalry
4.4 PESTLE Analysis
4.5 Value Chain Analysis
4.6 Impact of COVID-19 Pandemic on the Market
Chapter 5. Predictive Analytics Market by Deployment Mode
5.1 Overview
5.2 Market Size and Forecast
5.3 Cloud-based
5.3.1 Key Market Trends & Opportunity Analysis
5.3.2. Market Size and Forecast, by Region
5.4 On-premise
5.4.1 Key Market Trends & Opportunity Analysis
5.4.2 Market Size and Forecast, by Region
Chapter 6. Predictive Analytics Market by Solution
6.1 Overview
6.2 Market Size and Forecast
6.3 Customer Analytics
6.3.1 Key Market Trends & Opportunity Analysis
6.3.2 Market Size and Forecast, by Region
6.4 Financial Analytics
6.4.1 Key Market Trends & Opportunity Analysis
6.4.2 Market Size and Forecast, by Region
6.5 Marketing & Sales Analytics
6.5.1 Key Market Trends & Opportunity Analysis
6.5.2 Market Size and Forecast, by Region
6.6 Network Analytics
6.6.1 Key Market Trends & Opportunity Analysis
6.6.2 Market Size and Forecast, by Region
6.7 Others
6.7.1 Key Market Trends & Opportunity Analysis
6.7.2 Market Size and Forecast, by Region
Chapter 7. Predictive Analytics Market by Service
7.1 Overview
7.2 Market Size and Forecast
7.3 Deployment/ Installation
7.3.1 Key Market Trends & Opportunity Analysis
7.3.2 Market Size and Forecast, by Region
7.4 Support & Maintenance
7.4.1 Key Market Trends & Opportunity Analysis
7.4.2 Market Size and Forecast, by Region
7.5 Training & Consulting
7.5.1 Key Market Trends & Opportunity Analysis
7.5.2 Market Size and Forecast, by Region
Chapter 8. Predictive Analytics Market by Enterprise size
8.1 Overview
8.2 Market Size and Forecast
8.3 Large Enterprises
8.3.1 Key Market Trends & Opportunity Analysis
8.3.2 Market Size and Forecast, by Region
8.4 Small & Medium Enterprises
8.4.1 Key Market Trends & Opportunity Analysis
8.4.2 Market Size and Forecast, by Region
Chapter 9. Predictive Analytics Market by End-use
9.1 Overview
9.2 Market Size and Forecast
9.3 Aerospace & Defense
9.3.1 Key Market Trends & Opportunity Analysis
9.3.2 Market Size and Forecast, by Region
9.4 Automotive & Transportation
9.4.1 Key Market Trends & Opportunity Analysis
9.4.2 Market Size and Forecast, by Region
9.4 Healthcare
9.4.1 Key Market Trends & Opportunity Analysis
9.4.2 Market Size and Forecast, by Region
9.5 BFSI
9.5.1 Key Market Trends & Opportunity Analysis
9.5.2 Market Size and Forecast, by Region
9.6 Others
9.6.1 Key Market Trends & Opportunity Analysis
9.6.2 Market Size and Forecast, by Region
Chapter 10. Predictive Analytics Market by Region
10.1. Overview
10.2. North America
10.2.1. Key Market Trends and Opportunities
10.2.2. Market Size and Forecast by Deployment Mode
10.2.3. Market Size and Forecast by Solution
10.2.4. Market Size and Forecast by Service
10.2.5. Market Size and Forecast by Enterprise size
10.2.6. Market Size and Forecast by End-use
10.2.7. Market Size and Forecast by Country
10.2.8. The U.S.
10.2.8.1. Market Size and Forecast by Deployment Mode
10.2.8.2. Market Size and Forecast by Solution
10.2.8.3. Market Size and Forecast by Service
10.2.8.4. Market Size and Forecast by Enterprise size
10.2.8.5. Market Size and Forecast by End-use
10.2.9. Canada
10.2.9.1. Market Size and Forecast by Deployment Mode
10.2.9.2. Market Size and Forecast by Solution
10.2.9.3. Market Size and Forecast by Service
10.2.9.4. Market Size and Forecast by Enterprise size
10.2.9.5. Market Size and Forecast by End-use
10.2.10. Mexico
10.2.10.1. Market Size and Forecast by Deployment Mode
10.2.10.2. Market Size and Forecast by Solution
10.2.10.3. Market Size and Forecast by Service
10.2.10.4. Market Size and Forecast by Enterprise size
10.2.10.5. Market Size and Forecast by End-use
10.3. Europe
10.3.1. Key Market Trends and Opportunities
10.3.2. Market Size and Forecast by Deployment Mode
10.3.3. Market Size and Forecast by Solution
10.3.4. Market Size and Forecast by Service
10.3.5. Market Size and Forecast by Enterprise size
10.3.6. Market Size and Forecast by End-use
10.3.7. Market Size and Forecast by Country
10.3.8. Germany
10.3.8.1. Market Size and Forecast by Deployment Mode
10.3.8.2. Market Size and Forecast by Solution
10.3.8.3. Market Size and Forecast by Service
10.3.8.4. Market Size and Forecast by Enterprise size
10.3.8.5. Market Size and Forecast by End-use
10.3.9. France
10.3.9.1. Market Size and Forecast by Deployment Mode
10.3.9.2. Market Size and Forecast by Solution
10.3.9.3. Market Size and Forecast by Service
10.3.9.4. Market Size and Forecast by Enterprise size
10.3.9.5. Market Size and Forecast by End-use
10.3.10. The UK
10.3.10.1. Market Size and Forecast by Deployment Mode
10.3.10.2. Market Size and Forecast by Solution
10.3.10.3. Market Size and Forecast by Service
10.3.10.4. Market Size and Forecast by Enterprise size
10.3.10.5. Market Size and Forecast by End-use
10.3.11. Spain
10.3.11.1. Market Size and Forecast by Deployment Mode
10.3.11.2. Market Size and Forecast by Type
10.3.11.3. Market Size and Forecast by Service
10.3.11.4. Market Size and Forecast by Enterprise size
10.3.11.5. Market Size and Forecast by End-use
10.3.12. Italy
10.3.12.1. Market Size and Forecast by Deployment Mode
10.3.12.2. Market Size and Forecast by Solution
10.3.12.3. Market Size and Forecast by Service
10.3.12.4. Market Size and Forecast by Enterprise size
10.3.12.5. Market Size and Forecast by End-use
10.3.13. Rest of Europe
10.3.13.1. Market Size and Forecast by Deployment Mode
10.3.13.2. Market Size and Forecast by Type
10.3.13.3. Market Size and Forecast by Service
10.3.13.4. Market Size and Forecast by Enterprise size
10.3.13.5. Market Size and Forecast by End-use
10.4. Asia-Pacific
10.4.1. Key Market Trends and Opportunities
10.4.2. Market Size and Forecast by Deployment Mode
10.4.3. Market Size and Forecast by Solution
10.4.4. Market Size and Forecast by Service
10.4.5. Market Size and Forecast by Enterprise size
10.4.6. Market Size and Forecast by End-use
10.4.7. Market Size and Forecast by Country
10.4.8. China
10.4.8.1. Market Size and Forecast by Deployment Mode
10.4.8.2. Market Size and Forecast by Solution
10.4.8.3. Market Size and Forecast by Service
10.4.8.4. Market Size and Forecast by Enterprise size
10.4.8.5. Market Size and Forecast by End-use
10.4.9. India
10.4.9.1. Market Size and Forecast by Deployment Mode
10.4.9.2. Market Size and Forecast by Type
10.4.9.3. Market Size and Forecast by Service
10.4.9.4. Market Size and Forecast by Enterprise size
10.4.9.5. Market Size and Forecast by End-use
10.4.10. Japan
10.4.10.1. Market Size and Forecast by Deployment Mode
10.4.10.2. Market Size and Forecast by Type
10.4.10.3. Market Size and Forecast by Service
10.4.10.4. Market Size and Forecast by Enterprise size
10.4.10.5. Market Size and Forecast by End-use
10.4.11. South Korea
10.4.11.1. Market Size and Forecast by Deployment Mode
10.4.11.2. Market Size and Forecast by Type
10.4.11.3. Market Size and Forecast by Service
10.4.11.4. Market Size and Forecast by Enterprise size
10.4.11.5. Market Size and Forecast by End-use
10.4.12. Rest of APAC
10.4.12.1. Market Size and Forecast by Deployment Mode
10.4.12.2. Market Size and Forecast by Type
10.4.12.3. Market Size and Forecast by Service
10.4.12.4. Market Size and Forecast by Enterprise size
10.4.12.5. Market Size and Forecast by End-use
10.5. Rest of the World
10.5.1. Key Market Trends and Opportunities
10.5.2. Market Size and Forecast by Deployment Mode
10.5.3. Market Size and Forecast by Type
10.5.4. Market Size and Forecast by Service
10.5.5. Market Size and Forecast by Enterprise size
10.5.6. Market Size and Forecast by End-use
10.5.7. Market Size and Forecast by Country
10.5.8. Latin America
10.5.8.1. Market Size and Forecast by Deployment Mode
10.5.8.2. Market Size and Forecast by Solution
10.5.8.3. Market Size and Forecast by Service
10.5.8.4. Market Size and Forecast by Enterprise size
10.5.8.5. Market Size and Forecast by End-use
10.5.9. The Middle East
10.5.9.1. Market Size and Forecast by Deployment Mode
10.5.9.2. Market Size and Forecast by Type
10.5.9.3. Market Size and Forecast by Service
10.5.9.4. Market Size and Forecast by Enterprise size
10.5.9.5. Market Size and Forecast by End-use
10.5.10. Africa
10.5.10.1. Market Size and Forecast by Deployment Mode
10.5.10.2. Market Size and Forecast by Type
10.5.10.3. Market Size and Forecast by Service
10.5.10.4. Market Size and Forecast by Enterprise size
10.5.10.5. Market Size and Forecast by End-use
Chapter 11. Competitive Landscape
11.1 Overview
11.2 Market Share Analysis
11.3 Ranking by Predictive Analytics Market Revenue
11.4 Vendor Benchmarking
11.5 Developmental Strategy Benchmarking
11.5.1. Acquisitions & Mergers
11.5.2. Deployment Mode Launches & Developments
11.5.3. Business Expansions
11.5.4. Partnerships, Joint Ventures, and Collaborations
Chapter 12. Company Profiles
12.1 IBM Corporation
12.1.1 Company Snapshot
12.1.2 Business Performance
12.1.3 Deployment Mode Enterprise size
12.1.4 Key Developmental Strategies
12.1.5 SWOT Analysis
12.2 SAP ERP
12.3 Microsoft Corporation
12.4 Siemens AG
12.5 General Electric Company
12.6 Schneider Electric SE
12.7 NTT Data Corporation
12.8 Oracle Corporation
12.9 SAS Institute Inc.
12.10 Tableau Software Inc.
*The list of company is subject to change during the final compilation of the report

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