1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research & Forecasting

• 2.1. Research Methodology
  • 2.1.1. Research Process
  • 2.1.2. Research Framework
  • 2.1.3. Research Reliability & Validity
  • 2.1.4. Research Assumptions
• 2.2. Forecasting Methodology
• 2.3. Research Outcome
  • 2.3.1. Competitive Strategic Window
    • 2.3.1.1. Leverage Zone
    • 2.3.1.2. Vantage Zone
    • 2.3.1.3. Speculative Zone
    • 2.3.1.4. Bottleneck Zone
  • 2.3.2. FPNV Positioning Matrix
    • 2.3.2.1. Quadrants
    • 2.3.2.1.1. Forefront
    • 2.3.2.1.2. Pathfinders
    • 2.3.2.1.3. Niche
    • 2.3.2.1.4. Vital
    • 2.3.2.2. Business Strategy
    • 2.3.2.2.1. Business Growth
    • 2.3.2.2.2. Industry Coverage
    • 2.3.2.2.3. Financial Viability
    • 2.3.2.2.4. Channel Support
    • 2.3.2.3. Product Satisfaction
    • 2.3.2.3.1. Value for Money
    • 2.3.2.3.2. Ease of Use
    • 2.3.2.3.3. Product Features
    • 2.3.2.3.4. Customer Support

    3. Executive Summary

    • 3.1. Outlook in the Analytics As A Service Market
    • 3.2. Opportunities in the Analytics As A Service Market
    • 3.3. Geographical Analysis in the Analytics As A Service Market

    4. Premium Insight

    • 4.1. Market Connectivity
    • 4.2. Market Dynamics
      • 4.2.1. Drivers
        • 4.2.1.1. Need to process huge workload through cloud
        • 4.2.1.2. Efficient business intelligence with low cost of ownership
      • 4.2.2. Restraints
        • 4.2.2.1. Issues related to data security and availability
      • 4.2.3. Opportunities
        • 4.2.3.1. Huge amount of applicable data generated across various verticals
        • 4.2.3.2. Growing demand of mobile devices for analytics
      • 4.2.4. Challenges
        • 4.2.4.1. Limited expertise in the analytical knowledge
    • 4.3. Porter’s Five Forces Analysis
      • 4.3.1. Threat of New Entrants
      • 4.3.2. Threat of Substitutes
      • 4.3.3. Bargaining Power of Customers
      • 4.3.4. Bargaining Power of Suppliers
      • 4.3.5. Industry Rivalry
    • 4.4. Industry Trends

    5. Global Analytics As A Service Market, by Type

    • 5.1. Overview
    • 5.2. Market Sizing & Forecasting
    • 5.3. Descriptive Analytics
    • 5.4. Diagnostic Analytics
    • 5.5. Predictive Analytics
    • 5.6. Prescriptive Analytics

    6. Global Analytics As A Service Market, by Solution

    • 6.1. Overview
    • 6.2. Market Sizing & Forecasting
    • 6.3. Customer Analytics
      • 6.3.1. Customer Behavior Analysis
      • 6.3.2. Customer Segmentation and Clustering
      • 6.3.3. Loyalty and Customer Experience Management
    • 6.4. Financial Analytics
      • 6.4.1. Asset and Liability Management
      • 6.4.2. Budgetary Control Management
      • 6.4.3. General Ledger Management
      • 6.4.4. Payables and Receivables Management
      • 6.4.5. Profitability Management
    • 6.5. Marketing Analytics
      • 6.5.1. Marketing Campaign Monitoring
      • 6.5.2. Predictive Modeling
      • 6.5.3. Product Or Service Development Strategies
      • 6.5.4. Yield Management
    • 6.6. Network Analytics
      • 6.6.1. Intelligent Network Optimization
      • 6.6.2. Traffic Management
    • 6.7. Risk Analytics
      • 6.7.1. Credit and Market Risk Management
      • 6.7.2. Cyber Risk Management
      • 6.7.3. Operational Risk Management
    • 6.8. Sales Analytics
      • 6.8.1. Sales Lifecycle Management
      • 6.8.2. Sales Reps Efficiency Optimization
    • 6.9. Supply Chain Analytics
      • 6.9.1. Distribution and Logistics Optimization
      • 6.9.2. Inventory Optimization
      • 6.9.3. Manufacturing Analysis
      • 6.9.4. Sales and Operations Planning
      • 6.9.5. Supply Chain Planning and Procurement
    • 6.10. Web and Social Media Analytics
      • 6.10.1. Performance Monitoring
      • 6.10.2. Search Engine Optimization
      • 6.10.3. Social Media Management

    7. Global Analytics As A Service Market, by Services

    • 7.1. Overview
    • 7.2. Market Sizing & Forecasting
    • 7.3. Consulting Services
    • 7.4. Managed Services
    • 7.5. Support & Maintenance Services

    8. Global Analytics As A Service Market, by Deployment

    • 8.1. Overview
    • 8.2. Market Sizing & Forecasting
    • 8.3. Hybrid Cloud
    • 8.4. Private Cloud
    • 8.5. Public Cloud

    9. Global Analytics As A Service Market, by Verticals

    • 9.1. Overview
    • 9.2. Market Sizing & Forecasting
    • 9.3. Banking, Financial Services, and Insurance
    • 9.4. Energy and Utility
    • 9.5. Government
    • 9.6. Healthcare and Life Sciences
    • 9.7. Manufacturing
    • 9.8. Media and Entertainment
    • 9.9. Retail and Wholesale
    • 9.10. Telecommunication and IT
    • 9.11. Transportation and Logistics
    • 9.12. Travel and Hospitality

    10. Global Analytics As A Service Market, by Geography

    • 10.1. Americas
      • 10.1.1. Overview
      • 10.1.2. Market Sizing & Forecasting
      • 10.1.3. Argentina
      • 10.1.4. Canada
      • 10.1.5. Mexico
      • 10.1.6. United States
    • 10.2. Asia-Pacific
      • 10.2.1. Overview
      • 10.2.2. Market Sizing & Forecasting
      • 10.2.3. Australia
      • 10.2.4. China
      • 10.2.5. India
      • 10.2.6. Japan
    • 10.3. Europe, Middle East & Africa
      • 10.3.1. Overview
      • 10.3.2. Market Sizing & Forecasting
      • 10.3.3. France
      • 10.3.4. Germany
      • 10.3.5. Italy
      • 10.3.6. Spain
      • 10.3.7. United Kingdom

    11. Competitive Landscape

    • 11.1. FPNV Positioning Matrix for Global Analytics As A Service Market
    • 11.2. Market Vendor Ranking Analysis for Global Analytics As A Service Market
    • 11.3. Competitive News Feed Analysis for Global Analytics As A Service Market

    12. Company Usability Profiles

    • 12.1. Computer Science Corporation
      • 12.1.1. Overview
      • 12.1.2. Strategy
      • 12.1.3. SWOT
    • 12.2. Hewlett-Packard Enterprise
      • 12.2.1. Overview
      • 12.2.2. Strategy
      • 12.2.3. SWOT
    • 12.3. International Business Machines Corporation
      • 12.3.1. Overview
      • 12.3.2. Strategy
      • 12.3.3. SWOT
    • 12.4. Oracle Corporation
      • 12.4.1. Overview
      • 12.4.2. Strategy
      • 12.4.3. SWOT
    • 12.5. SAS Institute
      • 12.5.1. Overview
      • 12.5.2. Strategy
      • 12.5.3. SWOT

    13. Appendix

    • 13.1. Discussion Guide
    • 13.2. Top Reports
      • 13.2.1. Global Wireless Display Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
      • 13.2.2. Global Smart TV Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
      • 13.2.3. Global Head-Up Display Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
      • 13.2.4. Global Fall Detection System Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025

The Global Analytics As A Service Market is expected to grow from USD 7,356.35 Million in 2018 to USD 44,635.49 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 29.37%.

The positioning of the Global Analytics As A Service Market vendors in FPNV Positioning Matrix are determined by Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) and placed into four quadrants (F: Forefront, P: Pathfinders, N: Niche, and V: Vital).

The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Analytics As A Service Market including are Computer Science Corporation, Hewlett-Packard Enterprise, International Business Machines Corporation, Oracle Corporation, and SAS Institute.

On the basis of Type, the Global Analytics As A Service Market is studied across Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, and Prescriptive Analytics.

On the basis of Solution, the Global Analytics As A Service Market is studied across Customer Analytics, Financial Analytics, Marketing Analytics, Network Analytics, Risk Analytics, Sales Analytics, Supply Chain Analytics, and Web and Social Media Analytics.

On the basis of Services, the Global Analytics As A Service Market is studied across Consulting Services, Managed Services, and Support & Maintenance Services.

On the basis of Deployment, the Global Analytics As A Service Market is studied across Hybrid Cloud, Private Cloud, and Public Cloud.

On the basis of Verticals, the Global Analytics As A Service Market is studied across Banking, Financial Services, and Insurance, Energy and Utility, Government, Healthcare and Life Sciences, Manufacturing, Media and Entertainment, Retail and Wholesale, Telecommunication and IT, Transportation and Logistics, and Travel and Hospitality.

For the detailed coverage of the study, the market has been geographically divided into the Americas, Asia-Pacific, and Europe, Middle East & Africa. The report provides details of qualitative and quantitative insights about the major countries in the region and taps the major regional developments in detail.

In the report, we have covered two proprietary models, the FPNV Positioning Matrix and Competitive Strategic Window. The FPNV Positioning Matrix analyses the competitive market place for the players in terms of product satisfaction and business strategy they adopt to sustain in the market. The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisitions strategies, geography expansion, research & development, new product introduction strategies to execute further business expansion and growth.

Research Methodology:
Our market forecasting is based on a market model derived from market connectivity, dynamics, and identified influential factors around which assumptions about the market are made. These assumptions are enlightened by fact-bases, put by primary and secondary research instruments, regressive analysis and an extensive connect with industry people. Market forecasting derived from in-depth understanding attained from future market spending patterns provides quantified insight to support your decision-making process. The interview is recorded, and the information gathered in put on the drawing board with the information collected through secondary research.

The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on Analytics As A Service offered by the key players in the Global Analytics As A Service Market
2. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the Global Analytics As A Service Market
3. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the Global Analytics As A Service Market
4. Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the Global Analytics As A Service Market
5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the Global Analytics As A Service Market

The report answers questions such as:
1. What is the market size of Analytics As A Service market in the Global?
2. What are the factors that affect the growth in the Global Analytics As A Service Market over the forecast period?
3. What is the competitive position in the Global Analytics As A Service Market?
4. Which are the best product areas to be invested in over the forecast period in the Global Analytics As A Service Market?
5. What are the opportunities in the Global Analytics As A Service Market?
6. What are the modes of entering the Global Analytics As A Service Market?