Press release
Predictive Analytics Global Market Future Growth, Business Prospects and Detailed Insights on Upcoming Trends - Global Forecast to 2022
Predictive Analytics market is expected to grow from $3.89 billion in 2016 to reach $14.95 billion by 2023 with a CAGR of 21.2%. Growing adoption of big data and other related technologies, emergence of e-commerce and the growing data traffic are some of the key factors influencing the market growth. In addition, emergence of machine learning and artificial intelligence provides ample of opportunities for the market growth.Get sample copy of the Report: http://www.reportsweb.com/inquiry&RW00011117663/sample
Predictive analytics is the branch of the highly developed analytics which is used to make predictions about unknown future events. Predictive analytics uses many techniques from data mining, statistics, modelling, machine learning, and artificial intelligence to analyze current data to make predictions about future. The objective is to go beyond and know what has happened to provide a best estimation of what will happen in the future. This use of analytics will be helpful to avoid predicted problems, such as equipment failure or depleted stock, or to capitalize on opportunities to market products to customers, like targeting people in happy or dejecting moods after a sporting event.
Due to its cost-effectiveness and easy worldwide accessibility cloud-based deployment model registered significant growth. Moreover, due to innovations in cloud technologies and increase in data generation from various constituents and customers, the cloud-based deployment model is gaining traction. North America held the largest market share and is anticipated to continue its dominance during the forecast period. This is mainly because of the presence of various developed economies, such as Canada and the US, and focus over innovating the existing solutions. Furthermore, early acceptance of technologies and high penetration in various industry verticals, such as manufacturing, healthcare, transportation, and logistics, are driving the growth of the market in this region.
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Table of Content:
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 End User Analysis
3.8 Emerging Markets
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Predictive Analytics Market, By Type
5.1 Introduction
5.2 Services
5.2.1 Professional Services
5.1.1.1 Consulting
5.1.1.2 Support and Maintenance
5.2.2 Managed Services
5.3 Solutions
5.3.1 Risk Analytics
5.3.1.1 Operational Risk Management
5.3.1.2 Credit and Market Risk Management
5.3.1.3 Cyber Risk Management
5.3.1.4 Other Risk Analytics
6 Global Predictive Analytics Market, By Organisation Size
6.1 Introduction
6.2 Large Enterprises
6.3 Small and Medium-Sized Enterprises
7 Global Predictive Analytics Market, By Deployment Model
7.1 Introduction
7.2 Cloud
7.3 On-Premises
8 Global Predictive Analytics Market, By Application
8.1 Introduction
8.2 Customer & Channel
8.3 Finance and Risk
8.4 Sales & Marketing
8.5 Other Applications
9 Global Predictive Analytics Market, By End User
9.1 Introduction
9.2 Transportation and Logistics
9.3 Manufacturing
9.4 Retail and Ecommerce
9.5 Banking, Financial Services, and Insurance
9.6 Healthcare and Life Sciences
9.7 Government and Defense
9.8 Energy and Utilities
9.9 Telecommunications and IT
9.10 Media and Entertainment
9.11 Engineering & Construction
9.12 Other End Users
12 Company Profiling
12.1 SAP SE
12.2 Oracle Corporation
12.3 Tibco Software, Inc.
12.4 Tableau Software, Inc.
12.5 SAS Institute, Inc.
12.6 Microsoft Corporation
12.7 International Business Machines (IBM) Corporation
12.8 Fair Isaac Corporation (FICO)
12.9 NTT Data Corporation
12.10 Rapidminer, Inc.
12.11 Angoss Software Corporation
12.12 TIMi Suite
12.13 Predixion
12.14 Statsoft
12.15 GraphLab Create
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