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Analytics As A Service Market Research Report by Type, by Services, by Deployment, by Verticals - Global Forecast to 2025 - Cumulative Impact of COVID-19

  • ID: 4829987
  • Report
  • June 2020
  • Region: Global
  • 239 pages
  • 360iResearch™
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The Global Analytics As A Service Market to Grow USD 42,850.07 Million by 2025, at a CAGR of 29.67%

FEATURED COMPANIES

  • Oracle Corporation
  • SAS Institute
  • MORE
The Global Analytics As A Service Market is expected to grow from USD 9,010.59 Million in 2019 to USD 42,850.07 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 29.67%.

Market Segmentation & Coverage:

This research report categorizes the Analytics As A Service to forecast the revenues and analyze the trends in each of the following sub-markets:

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

On the basis of Solution, the Analytics As A Service Market is examined across Customer Analytics, Financial Analytics, Marketing Analytics, Network Analytics, Risk Analytics, Sales Analytics, Supply Chain Analytics, and Web and Social Media Analytics. The Customer Analytics further studied across Customer Behavior Analysis, Customer Segmentation and Clustering, and Loyalty and Customer Experience Management. The Financial Analytics further studied across Asset and Liability Management, Budgetary Control Management, General Ledger Management, Payables and Receivables Management, and Profitability Management. The Marketing Analytics further studied across Marketing Campaign Monitoring, Predictive Modeling, Product Or Service Development Strategies, and Yield Management. The Network Analytics further studied across Intelligent Network Optimization and Traffic Management. The Risk Analytics further studied across Credit and Market Risk Management, Cyber Risk Management, and Operational Risk Management. The Sales Analytics further studied across Sales Lifecycle Management and Sales Reps Efficiency Optimization. The Supply Chain Analytics further studied across Distribution and Logistics Optimization, Inventory Optimization, Manufacturing Analysis, Sales and Operations Planning, and Supply Chain Planning and Procurement. The Web and Social Media Analytics further studied across Performance Monitoring, Search Engine Optimization, and Social Media Management.

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

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

On the basis of Verticals, the Analytics As A Service Market is examined 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.

On the basis of Geography, the Analytics As A Service Market is examined across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region is examined across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region is examined across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region is examined across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Company Usability Profiles:

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

FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes the vendors in the Analytics As A Service Market on the basis of 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) that aids businesses in better decision making and understanding the competitive landscape.

Competitive Strategic Window:

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 acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

Cumulative Impact of COVID-19:

COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

The report provides insights on the following pointers:

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

The report answers questions such as:

1. What is the market size and forecast of the Global Analytics As A Service Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Analytics As A Service Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Analytics As A Service Market?
4. What is the competitive strategic window for opportunities in the Global Analytics As A Service Market?
5. What are the technology trends and regulatory frameworks in the Global Analytics As A Service Market?
6. What are the modes and strategic moves considered suitable for entering the Global Analytics As A Service Market?
Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Oracle Corporation
  • SAS Institute
  • MORE
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 Methodology
2.1. Research Process
2.1.1. Define: Research Objective
2.1.2. Determine: Research Design
2.1.3. Prepare: Research Instrument
2.1.4. Collect: Data Source
2.1.5. Analyze: Data Interpretation
2.1.6. Formulate: Data Verification
2.1.7. Publish: Research Report
2.1.8. Repeat: Report Update
2.2. Research Execution
2.2.1. Initiation: Research Process
2.2.2. Planning: Develop Research Plan
2.2.3. Execution: Conduct Research
2.2.4. Verification: Finding & Analysis
2.2.5. Publication: Research Report
2.3. Research Outcome
2.3.1. Competitive Strategic Window

3. Executive Summary
3.1. Market Outlook
3.2. Type Outlook
3.3. Solution Outlook
3.4. Services Outlook
3.5. Deployment Outlook
3.6. Verticals Outlook
3.7. Geography Outlook
3.8. Competitor Outlook

4. Market Overview
4.1. Introduction
4.2. Analytics As A Service Market, By Geography

5. Market Dynamics
5.1. Introduction
5.1.1. Drivers
5.1.1.1. Need to process huge workload through cloud
5.1.1.2. Efficient business intelligence with low cost of ownership
5.1.2. Restraints
5.1.2.1. Issues related to data security and availability
5.1.3. Opportunities
5.1.3.1. Huge amount of applicable data generated across various verticals
5.1.3.2. Growing demand of mobile devices for analytics
5.1.4. Challenges
5.1.4.1. Limited expertise in the analytical knowledge

6. Market Insights
6.1. Porters Five Forces Analysis
6.1.1. Threat of New Entrants
6.1.2. Threat of Substitutes
6.1.3. Bargaining Power of Customers
6.1.4. Bargaining Power of Suppliers
6.1.5. Industry Rivalry
6.2. Cumulative Impact of COVID-19
6.3. Client Customizations

7. Global Analytics As A Service Market, By Type
7.1. Introduction
7.2. Descriptive Analytics
7.3. Diagnostic Analytics
7.4. Predictive Analytics
7.5. Prescriptive Analytics

8. Global Analytics As A Service Market, By Solution
8.1. Introduction
8.2. Customer Analytics
8.2.1. Customer Behavior Analysis
8.2.2. Customer Segmentation and Clustering
8.2.3. Loyalty and Customer Experience Management
8.3. Financial Analytics
8.3.1. Asset and Liability Management
8.3.2. Budgetary Control Management
8.3.3. General Ledger Management
8.3.4. Payables and Receivables Management
8.3.5. Profitability Management
8.4. Marketing Analytics
8.4.1. Marketing Campaign Monitoring
8.4.2. Predictive Modeling
8.4.3. Product Or Service Development Strategies
8.4.4. Yield Management
8.5. Network Analytics
8.5.1. Intelligent Network Optimization
8.5.2. Traffic Management
8.6. Risk Analytics
8.6.1. Credit and Market Risk Management
8.6.2. Cyber Risk Management
8.6.3. Operational Risk Management
8.7. Sales Analytics
8.7.1. Sales Lifecycle Management
8.7.2. Sales Reps Efficiency Optimization
8.8. Supply Chain Analytics
8.8.1. Distribution and Logistics Optimization
8.8.2. Inventory Optimization
8.8.3. Manufacturing Analysis
8.8.4. Sales and Operations Planning
8.8.5. Supply Chain Planning and Procurement
8.9. Web and Social Media Analytics
8.9.1. Performance Monitoring
8.9.2. Search Engine Optimization
8.9.3. Social Media Management

9. Global Analytics As A Service Market, By Services
9.1. Introduction
9.2. Consulting Services
9.3. Managed Services
9.4. Support & Maintenance Services

10. Global Analytics As A Service Market, By Deployment
10.1. Introduction
10.2. Hybrid Cloud
10.3. Private Cloud
10.4. Public Cloud

11. Global Analytics As A Service Market, By Verticals
11.1. Introduction
11.2. Banking, Financial Services, and Insurance
11.3. Energy and Utility
11.4. Government
11.5. Healthcare and Life Sciences
11.6. Manufacturing
11.7. Media and Entertainment
11.8. Retail and Wholesale
11.9. Telecommunication and IT
11.10. Transportation and Logistics
11.11. Travel and Hospitality

12. Americas Analytics As A Service Market
12.1. Introduction
12.2. Argentina
12.3. Brazil
12.4. Canada
12.5. Mexico
12.6. United States

13. Asia-Pacific Analytics As A Service Market
13.1. Introduction
13.2. Australia
13.3. China
13.4. India
13.5. Indonesia
13.6. Japan
13.7. Malaysia
13.8. Philippines
13.9. South Korea
13.10. Thailand

14. Europe, Middle East & Africa Analytics As A Service Market
14.1. Introduction
14.2. France
14.3. Germany
14.4. Italy
14.5. Netherlands
14.6. Qatar
14.7. Russia
14.8. Saudi Arabia
14.9. South Africa
14.10. Spain
14.11. United Arab Emirates
14.12. United Kingdom

15. Competitive Landscape
15.1. FPNV Positioning Matrix
15.1.1. Quadrants
15.1.2. Business Strategy
15.1.3. Product Satisfaction
15.2. Market Ranking Analysis
15.3. Market Share Analysis
15.4. Competitive Scenario
15.4.1. Merger & Acquisition
15.4.2. Agreement, Collaboration & Partnership
15.4.3. New Product Launch & Enhancement
15.4.4. Investment & Funding

16. Company Usability Profiles
16.1. Computer Science Corporation
16.2. Hewlett-Packard Enterprise
16.3. International Business Machines Corporation
16.4. Oracle Corporation
16.5. SAS Institute

17. Appendix
17.1. Discussion Guide
17.2. Edition Details
17.3. License Details
17.4. Pricing Details
Note: Product cover images may vary from those shown
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  • Computer Science Corporation
  • Hewlett-Packard Enterprise
  • International Business Machines Corporation
  • Oracle Corporation
  • SAS Institute
Note: Product cover images may vary from those shown
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