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市場調查報告書

預測分析的全球市場:2018年∼2022年

Global Predictive Analytics Market 2018-2022

出版商 TechNavio (Infiniti Research Ltd.) 商品編碼 290646
出版日期 內容資訊 英文 120 Pages
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預測分析的全球市場:2018年∼2022年 Global Predictive Analytics Market 2018-2022
出版日期: 2018年12月19日內容資訊: 英文 120 Pages
簡介

全球預測分析市場至2022年,預測將以近23%的年複合成長率 (CAGR) 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,促進市場成長要素與課題,主要供應商的資訊等資料彙整。

第1章 摘要整理

第2章 本報告的調查範圍

第3章 調查手法

第4章 市場形勢

  • 市場生態系統
  • 市場特徵
  • 市場區隔分析

第5章 市場規模

  • 市場定義
  • 市場規模
  • 市場規模與預測

第6章 波特的五力分析

第7章 各引進類型的市場分類

  • 分類
  • 比較
  • 雲端 - 市場規模與預測
  • 內部部署 - 市場規模與預測
  • 市場機會

第8章 客戶形勢

第9章 地區形勢

  • 地理區分
  • 地區比較
  • 南北美洲 - 市場規模與預測
  • 歐洲、中東、非洲地區 - 市場規模與預測
  • 亞太地區 - 市場規模與預測
  • 市場機會

第10章 決策架構

第11章 市場成長因素與課題

  • 市場成長因素
  • 市場課題

第12章 市場趨勢

第13章 業者情勢

  • 概要
  • 創造性破壞狀況
  • 競爭模式

第14章 供應商分析

  • 交易廠商
  • 供應商分類
  • 供應商的市場定位
  • HPE
  • IBM
  • Microsoft
  • Oracle
  • SAP

第15章 附錄

  • 簡稱清單

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目錄
Product Code: IRTNTR21666

About this market

Proliferation of advanced technologies, AI, and IoT to drive growth in the market. Increased acceptance of innovations and technological advances, such as AI, ML, blockchain, cloud computing, advanced analytics, big data, IoT, automated vehicles, as well as augmented and virtual reality, is expected to pave way for the adoption of predictive analytics throughout enterprises and industries. Technavio's analysts have predicted that the predictive analytics market will register a CAGR of close to 23% by 2022.

Market Overview

Growing demand for detection of fraud and scam

One of the major drivers for the global predictive analytics market is the increasing demand for fraud detection in the modern threat-enhanced environment. In the modern world that is increasingly social and mobile, security threats are becoming momentous. The level of sophistication in frauds and scams has increased with technological advances and ever-increasing technological maturity of fraudsters. Due to the grave consequences of such threats, there is a rise in the concerns about data security and privacy, which drives the market for predictive analytics.

Lack of expertise and technical knowledge

The lack of skilled labor and niche skillsets in the management and operation of predictive analytics is a constant challenge for enterprises.

For the detailed list of factors that will drive and challenge the growth of the predictive analytics market during the 2018-2022, view our report.

Competitive Landscape

The market appears to be fragmented and with the presence of several companies including Oracle and SAP the competitive environment is quite intense. Factors such as the proliferation of advanced technologies, AI, and IoT and the growing demand for detection of fraud and scam, will provide considerable growth opportunities to predictive analytics manufactures. HPE, IBM, Microsoft, Oracle, and SAP are some of the major companies covered in this report.

TABLE OF CONTENTS

PART 01: EXECUTIVE SUMMARY

PART 02: SCOPE OF THE REPORT

PART 03: RESEARCH METHODOLOGY

PART 04: MARKET LANDSCAPE

  • Market ecosystem
  • Market characteristics
  • Market segmentation analysis

PART 05: MARKET SIZING

  • Market definition
  • Market sizing 2017
  • Market size and forecast 2017-2022

PART 06: FIVE FORCES ANALYSIS

  • Bargaining power of buyers
  • Bargaining power of suppliers
  • Threat of new entrants
  • Threat of substitutes
  • Threat of rivalry
  • Market condition

PART 07: MARKET SEGMENTATION BY DEPLOYMENT

  • Segmentation by deployment
  • Comparison by deployment
  • Cloud-based - Market size and forecast 2017-2022
  • On-premises - Market size and forecast 2017-2022
  • Market opportunity by deployment

PART 08: CUSTOMER LANDSCAPE

PART 09: REGIONAL LANDSCAPE

  • Geographical segmentation
  • Regional comparison
  • Americas - Market size and forecast 2017-2022
  • EMEA - Market size and forecast 2017-2022
  • APAC - Market size and forecast 2017-2022
  • Market opportunity

PART 10: DECISION FRAMEWORK

PART 11: DRIVERS AND CHALLENGES

  • Market drivers
  • Market challenges

PART 12: MARKET TRENDS

  • Proliferation of advanced technologies, AI, and IoT
  • Increasing adoption of real-time data analytics
  • Generation of native machine data

PART 13: VENDOR LANDSCAPE

  • Overview
  • Landscape disruption
  • Competitive scenario

PART 14: VENDOR ANALYSIS

  • Vendors covered
  • Vendor classification
  • Market positioning of vendors
  • HPE
  • IBM
  • Microsoft
  • Oracle
  • SAP

PART 15: APPENDIX

  • List of abbreviations

List of Exhibits

  • Exhibit 01: Parent market
  • Exhibit 02: Global IT spending market
  • Exhibit 03: Market characteristics
  • Exhibit 04: Market segments
  • Exhibit 05: Market definition - Inclusions and exclusions checklist
  • Exhibit 06: Market size 2017
  • Exhibit 07: Validation techniques employed for market sizing 2017
  • Exhibit 08: Global predictive analytics market - Market size and forecast 2017-2022 ($ bn)
  • Exhibit 09: Global - Year-over-year growth 2018-2022 (%)
  • Exhibit 10: Five forces analysis 2017
  • Exhibit 11: Five forces analysis 2022
  • Exhibit 12: Bargaining power of buyers
  • Exhibit 13: Bargaining power of suppliers
  • Exhibit 14: Threat of new entrants
  • Exhibit 15: Threat of substitutes
  • Exhibit 16: Threat of rivalry
  • Exhibit 17: Market condition - Five forces 2017
  • Exhibit 18: Deployment - Market share 2017-2022 (%)
  • Exhibit 19: Comparison by deployment
  • Exhibit 20: Cloud-based - Market size and forecast 2017-2022 ($ bn)
  • Exhibit 21: Cloud-based - Year-over-year growth 2018-2022 (%)
  • Exhibit 22: On-premises - Market size and forecast 2017-2022 ($ bn)
  • Exhibit 23: On-premises - Year-over-year growth 2018-2022 (%)
  • Exhibit 24: Market opportunity by deployment
  • Exhibit 25: Customer landscape
  • Exhibit 26: Global - Market share by geography 2017-2022 (%)
  • Exhibit 27: Regional comparison
  • Exhibit 28: Americas - Market size and forecast 2017-2022 ($ bn)
  • Exhibit 29: Americas - Year-over-year growth 2018-2022 (%)
  • Exhibit 30: Top 3 countries in Americas
  • Exhibit 31: EMEA - Market size and forecast 2017-2022 ($ bn)
  • Exhibit 32: EMEA - Year-over-year growth 2018-2022 (%)
  • Exhibit 33: Top 3 countries in EMEA
  • Exhibit 34: APAC - Market size and forecast 2017-2022 ($ bn)
  • Exhibit 35: APAC - Year-over-year growth 2018-2022 (%)
  • Exhibit 36: Top 3 countries in APAC
  • Exhibit 37: Market opportunity
  • Exhibit 38: Vendor landscape
  • Exhibit 39: Landscape disruption
  • Exhibit 40: Vendors covered
  • Exhibit 41: Vendor classification
  • Exhibit 42: Market positioning of vendors
  • Exhibit 43: HPE overview
  • Exhibit 44: HPE - Business segments
  • Exhibit 45: HPE - Organizational developments
  • Exhibit 46: HPE - Geographic focus
  • Exhibit 47: HPE - Key offerings
  • Exhibit 48: HPE - Segment focus
  • Exhibit 49: IBM overview
  • Exhibit 50: IBM - Business segments
  • Exhibit 51: IBM - Organizational developments
  • Exhibit 52: IBM - Geographic focus
  • Exhibit 53: IBM - Segment focus
  • Exhibit 54: IBM - Key offerings
  • Exhibit 55: Microsoft overview
  • Exhibit 56: Microsoft - Business segments
  • Exhibit 57: Microsoft - Organizational developments
  • Exhibit 58: Microsoft - Geographic focus
  • Exhibit 59: Microsoft - Segment focus
  • Exhibit 60: Microsoft - Key offerings
  • Exhibit 61: Oracle overview
  • Exhibit 62: Oracle - Business segments
  • Exhibit 63: Oracle - Organizational developments
  • Exhibit 64: Oracle - Geographic focus
  • Exhibit 65: Oracle - Segment focus
  • Exhibit 66: Oracle - Key offerings
  • Exhibit 67: SAP overview
  • Exhibit 68: SAP - Business segments
  • Exhibit 69: SAP - Organizational developments
  • Exhibit 70: SAP - Geographic focus
  • Exhibit 71: SAP - Segment focus
  • Exhibit 72: SAP - Key offerings
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