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Market Research Report

Global Predictive Analytics Market 2018-2022

Published by TechNavio (Infiniti Research Ltd.) Product code 290646
Published Content info 120 Pages
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Global Predictive Analytics Market 2018-2022
Published: December 19, 2018 Content info: 120 Pages
Description

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
Product Code: IRTNTR21666

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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