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市場調查報告書

預測分析的全球市場:2015年∼2019年

Global Predictive Analytics Market: Research Report 2015-2019

出版商 TechNavio (Infiniti Research Ltd.) 商品編碼 290646
出版日期 內容資訊 英文 65 Pages
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預測分析的全球市場:2015年∼2019年 Global Predictive Analytics Market: Research Report 2015-2019
出版日期: 2015年10月14日 內容資訊: 英文 65 Pages
簡介

預測分析,幫助從現有的資料抽出資訊。全球預測分析市場,預計從2014年到2019年之間,以25.31%的年複合成長率擴大。

本報告提供全球預測分析市場的相關調查、現狀和未來預測、市場促進成長要素與課題、主要供應商的資訊等彙整資料。

第1章 摘要整理

  • 概況

第2章 本報告的調查範圍

  • 市場概要
  • 主要供應商的產品

第3章 市場調查手法

  • 調查手法
  • 經濟指標

第4章 簡介

  • 主要市場概況

第5章 市場說明

  • 預測分析的工作流程
  • 商務分析模式之一的預測分析
  • 商業智慧 (BI) 與預測分析的差異
  • 分析的時間軸

第6章 市場形勢

  • 全球預測分析市場
  • 預測分析 facts
  • 波特的五力分析

第7章 各用途的市場分類

  • 全球預測分析市場:各用途

第8章 各終端用戶的市場分類

  • 全球預測分析市場:各終端用戶

第9章 地理區分

  • 全球預測分析市場:各地區

第10章 主要國家

  • 美國
  • 英國

第11章 市場成長因素

第12章 市場成長因素的影響

第13章 市場課題

第14章 成長因素與課題的影響

第15章 市場趨勢

第16章 業者情勢

  • 競爭模式
  • 市場佔有率分析
  • 其他卓越供應商

第17章 主要供應商分析

  • IBM
  • Oracle
  • SAP
  • SAS Institute

第18章 附錄

  • 簡稱清單

第19章 關於Technavio

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目錄
Product Code: IRTNTR7043

About predictive analytics

Predictive analytics helps to extract information from the existing data. It helps in understanding the pattern and predict the trend or future for the organization. It uses what-if scenarios to predict possible risks involved in the future. Predictive analytics also helps in the optimization of the marketing campaigns and understanding of the customer behaviour for increasing the end-user response and to reduce the churn.

Predictive analytics is segmented into:

  • Risk management: Includes processes such as fraud detection, mortgage underwriting, credit scoring, clinical DSS and the development of new pharmaceuticals
  • Marketing: Includes applications such as direct marketing, predictive modeling, customer retention, and predictive advertisement targeting
  • Personalized services: Includes customized services

Technavio's analysts forecast the global predictive analytics market to grow at a CAGR of 25.31% during the period 2014-2019.

Covered in this Report

This report covers the present scenario and the growth prospects of the global predictive analytics market for the period 2015-2019. To calculate the market size, the report considers revenue generated from licenses, maintenance, upgradation, and subscription costs of predictive analytics solutions. The report also describes the predictive analytics market into four types of application:

  • Sales and marketing
  • Fraud management
  • Risk management
  • Operations management

The report also describes the market segmentation by end-users:

  • BFSI
  • Manufacturing
  • Communication
  • Healthcare
  • Retail
  • Transportation

Technavio's report, Global Predictive Analytics Market 2015-2019, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the landscape of the market and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors

  • IBM
  • Oracle
  • SAP
  • SAS Institute

Other Prominent Vendors

  • Accretive Technologies
  • Angoss Software
  • HP
  • Information Builders
  • Megaputer Intelligence
  • Microsoft
  • Microstrategy
  • Pegasystems
  • Pitney Bowes
  • Revolution Analytics
  • StatSoft
  • Tableau Software
  • Teradata
  • TIBCO Software

Market driver

  • Use of big data
  • For a full, detailed list, view our report

Market challenge

  • Lack of expertise
  • For a full, detailed list, view our report

Market trend

  • Growing adoption for mobile analytics
  • For a full, detailed list, view our report

Key questions answered in this report

  • What will the market size be in 2019 and what will the growth rate be?
  • What are the key market trends?
  • What is driving this market?
  • What are the challenges to market growth?
  • Who are the key vendors in this market space?
  • What are the market opportunities and threats faced by the key vendors?
  • What are the strengths and weaknesses of the key vendors?

Table of Contents

PART 01: Executive summary

  • Highlights

PART 02: Scope of the report

  • Market overview
  • Top-vendor offerings

PART 03: Market research methodology

  • Research methodology
  • Economic indicators

PART 04: Introduction

  • Key market highlights

PART 05: Market description

  • Predictive analytics workflow
  • Predictive analytics as part of business analytics model
  • Difference between business intelligence (BI) and predictive analytics
  • Analytics timeline

PART 06: Market landscape

  • Global predictive analytics market
  • Predictive analytics facts
  • Five forces analysis

PART 07: Market segmentation by application

  • Global predictive analytics market segmentation by application 2014

PART 08: Market segmentation by end user

  • Global predictive analytics market segmentation by end-user 2014

PART 09: Geographical segmentation

  • Global predictive analytics market segmentation by region 2014

PART 10: Key leading countries

  • US
  • UK

PART 11: Market drivers

PART 12: Impact of drivers

PART 13: Market challenges

PART 14: Impact of drivers and challenges

PART 15: Market trends

PART 16: Vendor landscape

  • Competitive scenario
  • Market share analysis 2014
  • Other prominent vendors

PART 17: Key vendor analysis

  • IBM
  • Oracle
  • SAP
  • SAS Institute

PART 18: Appendix

  • List of abbreviations

PART 19: Explore Technavio

List of Exhibits

  • Exhibit 01: Product offerings
  • Exhibit 02: Predictive analytics workflow
  • Exhibit 03: Predictive analytics as part of business analytics model
  • Exhibit 04: Difference between BI and predictive analytics
  • Exhibit 05: Analytics overview
  • Exhibit 06: Global predictive analytics market 2014-2019 ($ billions)
  • Exhibit 07: Five forces analysis
  • Exhibit 08: Global predictive analytics market segmentation by application 2014
  • Exhibit 09: Global predictive analytics market segmentation by end-user 2014
  • Exhibit 10: Global predictive analytics market segmentation by region 2014
  • Exhibit 11: Global predictive analytics market segmentation by region 2014-2019 ($ millions)
  • Exhibit 12: Key leading countries
  • Exhibit 13: Impact of drivers
  • Exhibit 14: Impact of drivers and challenges
  • Exhibit 15: IBM: Business segmentation by revenue 2014
  • Exhibit 16: IBM: Business segmentation by revenue 2013 and 2014 ($ billions)
  • Exhibit 17: Oracle: Business segmentation by revenue 2014
  • Exhibit 18: Oracle: Business segmentation by revenue 2013 and 2014 ($ millions)
  • Exhibit 19: Oracle: Geographical segmentation by revenue 2014
  • Exhibit 20: SAP: Business segmentation by revenue 2014
  • Exhibit 21: SAP: Business segmentation by revenue 2013 and 2014 ($ billions)
  • Exhibit 22: SAP: Geographical segmentation by revenue 2014
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