HOME Top Market Reports Analytics as a Service Market by Solutions (Financial Analytics, Risk Analytics, Customer Analytics, Marketing Analytics, Sales Analytics, Web & Social Media Analytics, Supply Chain Analytics, Network Analytics, & Others) - Global Forecast to 2020

Analytics as a Service Market by Solutions (Financial Analytics, Risk Analytics, Customer Analytics, Marketing Analytics, Sales Analytics, Web & Social Media Analytics, Supply Chain Analytics, Network Analytics, & Others) - Global Forecast to 2020

By: marketsandmarkets.com
Publishing Date: July 2015
Report Code: TC 3568

 

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Analytics-as-a-service is the latest operating model where analytics software and the infrastructure required to run analytics are delivered via cloud-based platforms. Analytics-as-a-service is becoming a valuable option for businesses that do not have capital budget and internal expertise to implement and manage in-house analytics infrastructures. It is also useful for companies that are face increasing amount of data coming from various sources and operate in established structures that make upgrading the existing infrastructure difficult. The services available in the analytics-as-a-service model include the managed business services, consulting services, and support and maintenance services. Such advanced analytical tools enable organizations to bring in competences that they lack or to replace functions or processes that incurred huge recurring costs. These services reduce the recurring in-house operation costs and thus allow the organizations to increase their efficiency and focus on their core operations by transforming their in-house data on the cloud.

The analytics-as-a-service market has been witnessing accelerated growth in recent years due to the increasing demand for quick action on dynamic business events. This has made it an inevitable option for large enterprises and SMBs to adopt analytics-as-a-service for managing in-house analytical infrastructure. As analytics-as-a-service is based on pay-per-use model, it helps companies in saving a huge portion of the companies’ operational costs.

Some of the key vendors occupying the market are IBM, Oracle, SAS Institute, CSC, Hewlett-Packard, Microsoft, ATOS, Gooddata, EMC, and Google. The analytics-as-a-service market research report discusses the strategies and insights of the key vendors in the industry and also provides an in-depth study of the driving forces and challenges for this market. The report also analyzes the global trends and future growth potentials across different regions.  New product development, mergers and acquisitions, partnerships and joint ventures are a few examples of organic and inorganic expansion strategies that all the analytics-as-a-service providers are using nowadays to expand their share in the market.

The global market has been segmented by solution, service, deployment model, end-user organization size, vertical, and by region. The report also consists of views on the key players and the analysts’ insights on various developments that are taking place in the global analytics-as-a-service market. The forecast period for the analytics-as-a-service platform market research report is 2015–2020 with 2014 considered to be the base year.

The research report covers the complete market categorized into following major sub segments:

By Solutions

  • Financial Analytics
  • Risk Analytics
  • Customer Analytics
  • Sales Analytics
  • Marketing Analytics
  • Web and Social Media Analytics
  • Supply Chain Analytics
  • Network Analytics
  • Others

By Service

  • Consulting Services
  • Managed Services
  • Support and Maintenance Services

By Verticals

  • BFSI
  • Energy and Utilities
  • Healthcare and Life science
  • Government
  • Manufacturing
  • Retail and Wholesale
  • Telecommunications and IT
  • Transportation and Logistics
  • Travel and Hospitality
  • Media and Entertainment
  • Others

By Regions

  • North America
  • Europe
  • Asia-Pacific (APAC)
  • Middle East and Africa (MEA)
  • Latin America

Table of Contents

1 Introduction (Page No. - 14)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
           1.3.1 Markets Covered
           1.3.2 Years Considered in the Report
    1.4 Currency
    1.5 Limitations
    1.6 Stakeholders

2 Research Methodology (Page No. - 17)
    2.1 Research Data
           2.1.1 Secondary Data
                    2.1.1.1 Key Data From Secondary Sources
           2.1.2 Primary Data
                    2.1.2.1 Key Data From Primary Sources
                    2.1.2.2 Key Industry Insights
                    2.1.2.3 Breakdown of Primaries
    2.2 Market Size Estimation
           2.2.1 Bottom-Up Approach
           2.2.2 Top-Down Approach
    2.3 Market Breakdown and Data Triangulation
    2.4 Research Assumptions
           2.4.1 Assumptions

3 Executive Summary (Page No. - 25)

4 Premium Insights (Page No. - 28)
    4.1 Attractive Market Opportunities in the Analytics-As-A-Service Market
    4.2 Market Share Across Various Regions
    4.3 Analytics-As-A-Service: Solutions and Verticals Market
    4.4 Life Cycle Analysis, By Region

5 Market Overview (Page No. - 32)
    5.1 Introduction
    5.2 Market Evolution
    5.3 Market Dynamics
           5.3.1 Drivers
                    5.3.1.1 Lower Total Cost of Ownership
                    5.3.1.2 Increased Business Agility and Scalability
                    5.3.1.3 Self-Service Access to Centrally Managed Data
           5.3.2 Restraints
                    5.3.2.1 Complex Analytical Workflow
                    5.3.2.2 Diversity of Data Models Based on Business Needs
           5.3.3 Opportunities
                    5.3.3.1 Growing Demand of Mobile Devices for Analytics
                    5.3.3.2 Increase in Amount of Data Across Industry Verticals
           5.3.4 Challenges
                    5.3.4.1 Data Security and Privacy
                    5.3.4.2 Lack of Analytical Knowledge

6 Industry Trends (Page No. - 38)
    6.1 Introduction
    6.2 Value Chain Analysis
    6.3 Ecosystem
    6.4 Porter’s Five Forces Analysis
           6.4.1 Threat of New Entrants
           6.4.2 Threat of Substitutes
           6.4.3 Bargaining Power of Suppliers
           6.4.4 Bargaining Power of Buyers
           6.4.5 Intensity of Rivalry
    6.5 Technological Overview
           6.5.1 Layers of Analytics-As-A-Service
                    6.5.1.1 Data-As-A-Service
                    6.5.1.2 Storage-As-A-Service
                    6.5.1.3 Analytics Software-As-A-Service
           6.5.2 Type of Data Processing
                    6.5.2.1 Batch Data Processing
                    6.5.2.2 Real-Time Streaming Data Processing
    6.6 Strategic Benchmarking

7 Analytics-As-A-Service Market Analysis, By Type (Page No. - 47)
    7.1 Introduction
    7.2 Market Size Estimation, By Solutions
           7.2.1 Financial Analytics
                    7.2.1.1 Asset and Liability Management
                    7.2.1.2 Budgetary Control Management
                    7.2.1.3 General Ledger Management
                    7.2.1.4 Payables and Receivables Management
                    7.2.1.5 Profitability Management
           7.2.2 Risk Analytics
                    7.2.2.1 Cyber Risk Management
                    7.2.2.2 Operational Risk Management
                    7.2.2.3 Credit and Market Risk Management
           7.2.3 Customer Analytics
                    7.2.3.1 Customer Segmentation and Clustering
                    7.2.3.2 Customer Behavior Analysis
                    7.2.3.3 Loyalty and Customer Experience Management
           7.2.4 Marketing Analytics
                    7.2.4.1 Marketing Campaign Monitoring
                    7.2.4.2 Predictive Modeling
                    7.2.4.3 Yield Management
                    7.2.4.4 Product Or Service Development Strategies
           7.2.5 Sales Analytics
                    7.2.5.1 Sales Life Cycle Management
                    7.2.5.2 Sales Reps Efficiency Optimization
           7.2.6 Web and Social Media Analytics
                    7.2.6.1 Social Media Management
                    7.2.6.2 Search Engine Optimization
                    7.2.6.3 Performance Monitoring
           7.2.7 Supply Chain Analytics
                    7.2.7.1 Supply Chain Planning and Procurement
                    7.2.7.2 Sales and Operations Planning
                    7.2.7.3 Distribution and Logistics Optimization
                    7.2.7.4 Inventory Optimization
                    7.2.7.5 Manufacturing Analysis
           7.2.8 Network Analytics
                    7.2.8.1 Intelligent Network Optimization
                    7.2.8.2 Traffic Management
           7.2.9 Others
    7.3 Analytics-As-A-Service Market Size Estimation, By Service
           7.3.1 Consulting Service
           7.3.2 Managed Service
           7.3.3 Support and Maintenance Service

8 Analytics-As-A-Service Market Analysis, By Deployment Model (Page No. - 65)
    8.1 Introduction
    8.2 Public Cloud
    8.3 Private Cloud
    8.4 Hybrid Cloud

9 Analytics-As-A-Service Market Analysis, By Organization Size (Page No. - 69)
    9.1 Introduction
    9.2 Small and Medium Businesses
    9.3 Large Enterprises

10 Analytics-As-A-Service Market Analysis, By Vertical (Page No. - 73)
     10.1 Introduction
     10.2 Banking, Financial Services, and Insurance
     10.3 Retail and Wholesale
     10.4 Telecommunications and It
     10.5 Energy and Utilities
     10.6 Healthcare and Life Sciences
     10.7 Travel and Hospitality
     10.8 Transportation and Logistics
     10.9 Media and Entertainment
     10.10 Manufacturing
     10.11 Government
     10.12 Others

11 Geographic Analysis (Page No. - 93)
     11.1 Introduction
     11.2 North America
     11.3 Europe
     11.4 Asia-Pacific
     11.5 Latin America
     11.6 Middle East and Africa

12 Competitive Landscape (Page No. - 104)
     12.1 Overview
     12.2 Competitive Situation and Trends
             12.2.1 Partnerships, Agreements and Collaborations
             12.2.2 New Product Launches
             12.2.3 Mergers and Acquisitions
             12.2.4 Venture Capital Funding

13 Company Profiles (Page No. - 110)
(Overview, Products & Services, Strategies & Insights, Developments and MnM View)*
     13.1 Introduction
     13.2 SAS Institute
     13.3 IBM Corporation
     13.4 Computer Science Corporation (CSC)
     13.5 Oracle Corporation
     13.6 Hewlett-Packard (HP)
     13.7 ATOS
     13.8 Microsoft Corporation
     13.9 Gooddata
     13.10 EMC
     13.11 Google

*Details on Overview, Products & Services, Strategies & Insights, Developments and MnM View Might Not Be Captured in Case of Unlisted Companies.

14 Appendix (Page No. - 135)
     14.1 Excerpts From Industry Experts
     14.2 Discussion Guide
     14.3 Introducing Rt: Real-Time Market Intelligence
     14.4 Available Customization
     14.5 Related Reports


List of Tables (71 Tables)

Table 1 Analytics-As-A-Service Market Size and Growth, 2013–2020 ($Million, Y-O-Y %)
Table 2 Drivers: Impact Analysis
Table 3 Restraints: Impact Analysis
Table 4 Opportunities: Impact Analysis
Table 5 Challenges: Impact Analysis
Table 6 Market Size, By Type, 2013–2020 ($Million)
Table 7 Market Size, By Solution, 2013–2020 ($Million)
Table 8 Financial Analytics: Market Size, By Region, 2013–2020 ($Million)
Table 9 Risk Analytics: Market Size, By Region, 2013–2020 ($Million)
Table 10 Customer Analytics: Market Size, By Region, 2013–2020 ($Million)
Table 11 Marketing Analytics: Market Size, By Region, 2013–2020 ($Million)
Table 12 Sales Analytics: Market Size, By Region, 2013–2020 ($Million)
Table 13 Web and Social Media Analytics: Market Size, By Region, 2013–2020 ($Million)
Table 14 Supply Chain Analytics: Market Size, By Region, 2013–2020 ($Million)
Table 15 Network Analytics: Market Size, By Region, 2013–2020 ($Million)
Table 16 Others: Market Size, By Region, 2013–2020 ($Million)
Table 17 Analytics-As-A-Service Market Size, By Service, 2013–2020 ($Million)
Table 18 Consulting Service: Market Size, By Region, 2013–2020 ($Million)
Table 19 Managed Service: Market Size, By Region, 2013–2020 ($Million)
Table 20 Support and Maintenance Service: Market Size, By Region, 2013–2020 ($Million)
Table 21 Analytics-As-A-Service Market Size, By Deployment Model, 2013–2020 ($Million)
Table 22 Public Cloud: Market Size, By Region, 2013–2020 ($Million)
Table 23 Private Cloud: Market Size, By Region, 2013–2020 ($Million)
Table 24 Hybrid Cloud: Market Size, By Region, 2013–2020 ($Million)
Table 25 Analytics-As-A-Service Market Size, By Organization Size, 2013–2020 ($Million)
Table 26 Small and Medium Businesses: Market Size, By Region, 2013–2020 ($Million)
Table 27 Large Enteprises: Market Size, By Region, 2013–2020 ($Million)
Table 28 Analytics-As-A-Service Market Size, By Vertical, 2013–2020 ($Million)
Table 29 Banking, Financial Services, and Insurance: Market Size, By Type, 2013–2020 ($Million)
Table 30 Banking, Financial Services, and Insurance: Market Size, By Solution, 2013–2020 ($Million)
Table 31 Banking, Financial Services, and Insurance: Market Size, By Service, 2013–2020 ($Million)
Table 32 Retail and Wholesale: Analytics-As-A-Service Market Size, By Type, 2013–2020 ($Million)
Table 33 Retail and Wholesale: Market Size, By Solution, 2013–2020 ($Million)
Table 34 Retail and Wholesale: Market Size, By Service, 2013–2020 ($Million)
Table 35 Telecommunications and It: Market Size, By Type, 2013–2020 ($Million)
Table 36 Telecommunications and It: Market Size, By Solution, 2013–2020 ($Million)
Table 37 Telecommunications and It: Market Size, By Service, 2013–2020 ($Million)
Table 38 Energy and Utilities: Market Size, By Type, 2013–2020 ($Million)
Table 39 Energy and Utilities: Market Size, By Solution, 2013–2020 ($Million)
Table 40 Energy and Utilities: Market Size, By Service, 2013–2020 ($Million)
Table 41 Healthcare and Life Sciences: Market Size, By Type, 2013–2020 ($Million)
Table 42 Healthcare and Life Sciences: Market Size, By Solution, 2013–2020 ($Million)
Table 43 Healthcare and Life Sciences: Market Size, By Service, 2013–2020 ($Million)
Table 44 Travel and Hospitality: Analytics-As-A-Service Market Size, By Type, 2013–2020 ($Million)
Table 45 Travel and Hospitality: Market Size, By Solution, 2013–2020 ($Million)
Table 46 Travel and Hospitality: Market Size, By Service, 2013–2020 ($Million)
Table 47 Transportation and Logistics: Analytics-As-A-Service Market Size, By Type, 2013–2020 ($Million)
Table 48 Transportation and Logistics: Market Size, By Solution, 2013–2020 ($Million)
Table 49 Transportation and Logistics: Market Size, By Service, 2013–2020 ($Million)
Table 50 Media and Entertainment: Market Size, By Type, 2013–2020 ($Million)
Table 51 Media and Entertainment: Market Size, By Solution, 2013–2020 ($Million)
Table 52 Media and Entertainment: Market Size, By Service, 2013–2020 ($Million)
Table 53 Manufacturing: Analytics-As-A-Service Market Size, By Type, 2013–2020 ($Million)
Table 54 Manufacturing: Market Size, By Solution, 2013–2020 ($Million)
Table 55 Manufacturing: Market Size, By Service, 2013–2020 ($Million)
Table 56 Government: Market Size, By Type, 2013–2020 ($Million)
Table 57 Government: Market Size, By Solution, 2013–2020 ($Million)
Table 58 Government: Market Size, By Service, 2013–2020 ($Million)
Table 59 Others: Market Size, By Type, 2013–2020 ($Million)
Table 60 Others: Market Size, By Solution, 2013–2020 ($Million)
Table 61 Others: Market Size, By Service, 2013–2020 ($Million)
Table 62 Analytics-As-A-Service Market Size, By Region, 2013–2020 ($Million)
Table 63 North America: Market Size, By Vertical, 2013–2020 ($Million)
Table 64 Europe: Market Size, By Vertical, 2013–2020 ($Million)
Table 65 Asia-Pacific: Market Size, By Vertical, 2013–2020 ($Million)
Table 66 Latin America: Market Size, By Vertical, 2013–2020 ($Million)
Table 67 Middle East and Africa: Market Size, By Vertical, 2013–2020 ($Million)
Table 68 Partnerships and Collaborations, 2012–2015
Table 69 New Product Launches, 2012–2015
Table 70 Mergers and Acquisitions, 2012–2015
Table 71 Venture Capital Funding, 2012–2015


List of Figures (45 Figures)

Figure 1 Research Design
Figure 2 Market Size Estimation Methodology: Bottom-Up Approach
Figure 3 Market Size Estimation Methodology: Top-Down Approach
Figure 4 Data Triangulation
Figure 5 Analytics-As-A-Service Market is Poised to Witness Growth in the Global Market for the Period 2013–2020
Figure 6 Market Snapshot on the Basis of Solutions (2015 vs 2020)
Figure 7 Market Snapshot on the Basis of Service (2015–2020)
Figure 8 Lucrative Market Prospects in the Analytics-As-A-Service Market
Figure 9 North America Accounts for 40.7% of the Market
Figure 10 Financial Analytics and Banking, Financial Services, and Insurance Vertical are Expected to Gain the Largest Market Share in 2015
Figure 11 Asia-Pacific Soon to Witness Exponential Growth During 2015-2020
Figure 12 Evolution of Analytics-As-A-Service
Figure 13 Lower Total Cost of Ownership is the Major Driving Factor for the Analytics-As-A-Service Market
Figure 14 Market: Value Chain Analysis
Figure 15 Market: Ecosystem
Figure 16 Market: Porter’s Five Forces Analysis
Figure 17 Strategic Benchmarking
Figure 18 Solutions has the Highest Market Size and the Trend is Expected to Continue
Figure 19 Financial Analytics has the Highest Market Size and the Trend is Expected to Continue Throughout the Forecast Period
Figure 20 Consulting Service has the Highest Market Size and the Trend is Expected to Continue
Figure 21 Hybrid Cloud has the Highest Market Size and the Trend is Expected to Continue During the Forecast Period
Figure 22 Large Enterprises Segment is Expected to Exhibit the Highest CAGR During the Forecast Period
Figure 23 Banking, Financial Services, and Insurance Verticalwould Have the Highest Market Share in 2015
Figure 24 Geographic Snapshot (2015): Rapid Growth Markets are Emerging as New Spots
Figure 25 North America is Expected to Have A Major Share of the AAAS Market During the Forecast Period
Figure 26 North America Snapshot
Figure 27 Asia-Pacific Market Snapshot: Technological Initiatives is Expected to Fuel the Need for Analytics-As-A-Service
Figure 28 Companies Adopted New Product Launches and Enhancements as the Key Growth Strategy Over the Last 3 Years
Figure 29 Market Evaluation Framework
Figure 30 Battle for Market Share: New Product Launch and Product Enhancement Was the Key Strategy in the Analytics-As-A-Service Market
Figure 31 Geographic Revenue Mix of Top 4 Market Players
Figure 32 SAS Institute: Company Snapshot
Figure 33 SAS Institute: SWOT Analysis
Figure 34 IBM Corporation: Company Snapshot
Figure 35 IBM Corporation: SWOT Analysis
Figure 36 CSC: Company Snapshot
Figure 37 CSC: SWOT Analysis
Figure 38 Oracle Corporation: Company Snapshot
Figure 39 Oracle Corporation: SWOT Analysis
Figure 40 HP: Company Snapshot
Figure 41 HP: SWOT Analysis
Figure 42 ATOS: Company Snapshot
Figure 43 Microsoft Corporation: Company Snapshot
Figure 44 EMC: Company Snapshot
Figure 45 Google: Company Snapshot

The strategic goal of a big data analytics strategy is to derive insights from the business data and make better decisions to be ahead in the competition. Organizations require core competency in infrastructure, analytics, and visualization to make data-driven strategic decisions. It could be achieved at a higher investment, but, analytics specific to the business needs have to be cultivated over a period of time to evolve as a strategic asset.

The analytics-as-a-service market to grow from $4,230.0 Million in 2015 to $23,030.0 Million in 2020, at a CAGR of 40.3% during the forecast period.

However, all companies may not have the capital budget or internal analytical expertise to implement and manage these capabilities in-house. With the emergence of cloud-based analytics-as-a-service, companies are able to spend more time analyzing business data and less in managing on-premises infrastructure. It requires months for implementing hardware and software on-premises to start any business analytics project. Therefore, analytics-as-a-service enables such organizations to save time and cost.

Globally, analytics-as-a-service is rapidly taking over from traditional on-premises business analytics, which generally required implementing and managing on-premises infrastructure and was static in nature. This market has been segmented by analytics solution, service, deployment model, organization size, industry vertical, and region.

The major drivers of analytics-as-a-service market are lower total cost of ownership, increased business agility and scalability, and self-service access to centrally managed data. The analytics-as-a-service market faces challenges such as data security and privacy and lack of analytical knowledge in many organizations. The major factors that are restraining the growth of the analytics-as-a-service market are the complex analytical workflow and diversity of data models based on business needs. Analytics-as-a-service solution vendors see opportunities for the higher adoption of analytics-as-a-service due to actors such as the growing demand of mobile devices for analytics and increase in the amount of data generated across industry verticals.

Analytics-as-a-service solutions are used widely by major industry verticals globally, such as banking, financial services, and insurance (BFSI), retail and wholesale, government, healthcare and life sciences, manufacturing, telecommunications and IT, energy and utilities, travel and hospitality, transportation and logistics, media and entertainment, and others for different business needs. Globally, the adoption of analytics-as-a-service is increasing due to the growing demand of smart technologies in the APAC and Latin American regions.

Major vendors offering solutions and services are SAS Institute (U.S.), IBM Corporation (U.S.), CSC (U.S.), Oracle Corporation (U.S.), and Hewlett-Packard (U.S.). These vendors offer different types of analytics solutions such as financial analytics, risk analytics, customer analytics, marketing analytics, sales analytics, web and social media analytics, supply chain analytics, and network analytics. They also offer services such as consulting services, managed services, and support and maintenance services.

Analytics-As-A-Service Market Size and Growth, 2013-2020 ($Million, Y-O-Y %)

Analytics as a Service Market

E – Estimated; P – Projected
Sources: Press Releases, Investor Presentations, Expert Interviews, and MarketsandMarkets Analysis

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