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FEATURED COMPANIES
- HPE
- IBM
- Microsoft
- Oracle
- SAP
- MORE
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. The 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 this 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.
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 this 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.
Note: Product cover images may vary from those shown
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FEATURED COMPANIES
- HPE
- IBM
- Microsoft
- Oracle
- SAP
- MORE
PART 01: EXECUTIVE SUMMARY
PART 02: SCOPE OF THE REPORT
PART 03: RESEARCH METHODOLOGY
PART 04: MARKET LANDSCAPE
PART 09: REGIONAL LANDSCAPE
PART 11: DRIVERS AND CHALLENGES
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
PART 02: SCOPE OF THE REPORT
PART 03: RESEARCH METHODOLOGY
PART 04: MARKET LANDSCAPE
- Market ecosystem
- Market characteristics
- Market segmentation analysis
- Market definition
- Market sizing 2017
- Market size and forecast 2017-2022
- Bargaining power of buyers
- Bargaining power of suppliers
- Threat of new entrants
- Threat of substitutes
- Threat of rivalry
- Market condition
- 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 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 11: DRIVERS AND CHALLENGES
- Market drivers
- Market challenges
- Proliferation of advanced technologies, AI, and IoT
- Increasing adoption of real-time data analytics
- Generation of native machine data
- Overview
- Landscape disruption
- Competitive scenario
- Vendors covered
- Vendor classification
- Market positioning of vendors
- HPE
- IBM
- Microsoft
- Oracle
- SAP
- List of abbreviations
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
Note: Product cover images may vary from those shown
3 of 5
FEATURED COMPANIES
- HPE
- IBM
- Microsoft
- Oracle
- SAP
- MORE
Global Predictive Analytics Market 2018-2022
The analyst recognizes the following companies as the key players in the global predictive analytics market: HPE, IBM, Microsoft, Oracle, and SAP.
Commenting on the report, an analyst from the research team said: “The latest trend gaining momentum in the market is the proliferation of advanced technologies, AI, and IoT.”
According to the report, one of the major drivers for this market is the growing demand for detection of fraud and scam.
Further, the report states that one of the major factors hindering the growth of this market is the lack of expertise and technical knowledge.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
The analyst recognizes the following companies as the key players in the global predictive analytics market: HPE, IBM, Microsoft, Oracle, and SAP.
Commenting on the report, an analyst from the research team said: “The latest trend gaining momentum in the market is the proliferation of advanced technologies, AI, and IoT.”
According to the report, one of the major drivers for this market is the growing demand for detection of fraud and scam.
Further, the report states that one of the major factors hindering the growth of this market is the lack of expertise and technical knowledge.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Note: Product cover images may vary from those shown
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- HPE
- IBM
- Microsoft
- Oracle
- SAP
Note: Product cover images may vary from those shown
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