Descriptive Analytics Market – By Verticals (BFSI, Telecom, Retail & Consumer Goods, Healthcare, and Energy & Utilities), Regions (North America, Western Europe, Central Eastern Europe, Asia Pacific, Middle East & Africa, and Latin America) – Global Market Drivers, Opportunities, Trends, and Forecasts, 2016-2022

  • April, 2016
  • Domain: ICT - Social, Mobile, Analytics & Cloud (SMAC),digital technologies
Pages: 186
Tables: 127
Charts: 29
Regions/Countries: 6/0
Companies: 14
Enquiry Hours: 10
  • Get Free 10% Customization in this Report
Overview

Data analytics encompasses three data types – descriptive, predictive and prescriptive. Descriptive analytics deciphers raw data and converts it into an interpretable form. It uses data mining techniques to get insight from historic data. These insights help in critical decision making in an organization. Descriptive statistics involves summarization of samples and observations in the form of visual or quantitative representation. These summaries may form the basis of more extensive statistical analysis.

Over the past few years, there has been a drastic increase in the volume of data due to increasing adoption of digital technology, big data boom, and application of advanced technologies across all industries. The enterprises are aggressively moving towards adoption of analytical techniques to analyse structured and unstructured data to gather valuable insights that help in better decision making. Descriptive analytics provides valuable information about the past business failure or success. These insights help businesses to make better plans and ensure future success. The descriptive analytics tools are being widely adopted in all the industry sectors and are the primary elements in analytics tree.

Market Analysis

The Descriptive Analytics Market is expected to grow at a CAGR of 18.2% during the forecast period 2016–2022.

The increasing spending on advanced technologies, digital technologies, Internet of Things (IoT) are few major growth drivers in the descriptive analytics market.

Segmentation by Verticals

BFSI, Retail & Consumer Goods, Healthcare, Telecom, Energy & Utilities and Others are the key industry verticals in this market.

BFSI and Retail together accounted for almost 42 percent of the market in 2016. The Healthcare industry is poised to be the emerging vertical within the next 6-7 years. Customer analytics and Risk analytics will witness higher growth compared to Financial Analytics and Sales and Marketing Analytics.

Geographic segmentation

North America, Latin America, Western Europe, Central Eastern Europe, Asia Pacific, and Latin America are the key geographies. North America is the leading region for descriptive analytics market followed by Western Europe.

Competitive Analysis

The study gives an opportunity to the key players to improve their current business approach by providing strategic intelligence about competition in the market.

The report includes a detailed competitive benchmarking of the leading industry players based on metrics such as business units, geographic revenue, recent developments, business focus, business strategy and SWOT analysis.

 

Key Vendors

The key players covered in the report are IBM, Oracle, Dell, Accenture, TCS, Infosys, SAP, Microsoft, etc.

Benefits

The study analyses one of the most widely adopted analytical tool. Bringing out the complete key insights of the market, the report provides business opportunities for players to understand the adoption rate of descriptive analytics types across various industry sectors and regions, latest trends, current and future market scenarios and emerging technologies related to descriptive analytics market. The report provides details about the adoption rate of the various types of analytical tools, major market trends, drivers, restraints and opportunities in each industry vertical and the market trends that support descriptive analytics adoption within each industry. This information helps the stakeholders to understand the current and future market scenario to focus or expand/invest in specific verticals. It helps the stakeholders to expand their geographic reach by providing information about the key business opportunities and trends in various geographies relevant to the descriptive analytics.

The report can also be tailored as per the specific information need of the users. The customization of the report is available based on of countries, vendor profiles, analytics types and vertical wise.
1 Industry Outlook
1.1 Industry Overview
1.2 Industry Trends
1.3 Pest Analysis

2 Descriptive Analytics Market Report Outline
2.1 Report Scope
2.2 Report Summary
2.3 Research Methodology
2.4 Report Assumptions

3 Descriptive Analytics Market Snapshot
3.1 Total Addressable Market (TAM)
3.2 Segmented Addressable Market (SAM)
3.3 Related Markets

4 Descriptive Analytics Market Outlook
4.1 Overview
4.2 Porter 5 (Five) Forces

5 Market Characteristics
5.1 Evolution
5.2 Analytics Value Chain
5.3 Market Segmentation
5.4 Market Dynamics
5.4.1 Drivers
5.4.1.1 Increasing Volume of Data
5.4.1.2 Ease of Data Consolidation
5.4.1.3 Better Decision-making
5.4.2 Restraints
5.4.2.1 Talent Skill Gap
5.4.2.2 IT Infrastructure
5.4.3 Opportunities
5.4.3.1 Demand for Analytics
5.4.3.2 Emerging Internet of Things (IoT)
5.4.3.3 Emerging Healthcare in Analytics Market
5.4.4 DRO – Impact Analysis

6 Descriptive Analytics in BFSI: Market Size and Analysis
6.1 Industry Overview
6.2 Drivers, Restraints and Opportunities Analysis
6.3 Market Size and Analysis
6.4 Analytics Types and Applications
6.4.1 Customer Analytics
6.4.1.1 Customer Profitability Analysis
6.4.1.2 Transactional Analysis
6.4.1.3 Customer Engagement
6.4.2 Risk Analytics
6.4.2.1 Risk Management (Assessment)
6.4.2.2 Fraud Detection and Management
6.4.2.3 Regulatory Compliance
6.4.3 Financial Analytics
6.4.3.1 Costing/Pricing Analytics
6.4.3.2 Budgeting and Planning
6.4.4 Sales and Marketing Analytics
6.4.4.1 Cross Channel Optimization
6.4.4.2 Marketing Campaigns
6.4.5 Workforce Analytics
6.4.5.1 Recruiting
6.4.5.2 Retention
6.4.5.3 Workforce Planning and Management
6.4.5.4 Workforce Transitions

7 Descriptive Analytics in Retail & Consumer Goods: Market Size and Analysis
7.1 Industry Overview
7.2 Drivers, Restraints and Opportunities Analysis
7.3 Market Size and Analysis
7.4 Analytics Types and Applications
7.4.1 Customer Analytics
7.4.1.1 Customer Engagement
7.4.2 Risk Analytics
7.4.2.1 Fraud Detection and Prevention
7.4.3 Financial Analytics
7.4.3.1 Pricing Optimization
7.4.3.2 Performance Management
7.4.4 Sales and Marketing Analytics
7.4.4.1 Merchandise Planning and Management
7.4.5 Integrated Forecasting
7.4.5.1 Product Portfolio Analysis
7.4.5.2 Marketing Mix
7.4.5.3 Multi-Channel Campaign
7.4.6 Supply Chain Analytics
7.4.6.1 Demand Forecasting and Price Optimizations
7.4.6.2 Product Flows Optimization
7.4.6.3 Inventory Planning and Replenishment Analysis
7.4.7 Workforce Analytics
7.4.7.1 Workforce Development and Management

8 Descriptive Analytics in Telecom: Market Size and Analysis
8.1 Industry Overview
8.2 Drivers, Restraints and Opportunities Analysis
8.3 Market Size and Analysis
8.4 Analytics Types and Applications
8.4.1 Customer Analytics
8.4.1.1 Customer Lifetime Value Analysis
8.4.1.2 Customer Churn Management
8.4.2 Risk Analytics
8.4.2.1 Risk Management
8.4.2.2 Fraud Detection
8.4.3 Financial Analytics
8.4.3.1 Pricing Analytics
8.4.3.2 Revenue Assurance
8.4.4 Sales & Marketing Analytics
8.4.4.1 Cross-selling and Up-selling
8.4.4.2 Campaign Management
8.4.5 Network Analytics
8.4.5.1 Network Control and Optimization
8.4.5.2 Network Management
8.4.6 Workforce Analytics

9 Descriptive Analytics in Healthcare: Market Size and Analysis
9.1 Industry Overview
9.2 Drivers, Restraints and Opportunities Analysis
9.3 Market Size and Analysis
9.4 Analytics Types and Applications
9.4.1 Customer Analytics/Clinical Data Analytics
9.4.1.1 Customer Behavioral Segmentation Analysis
9.4.2 Risk Analytics
9.4.2.1 Fraud Detection and Risk Management
9.4.3 Financial Analytics
9.4.3.1 Financial Performance
9.4.3.2 Financial Forecast and Reserve Determination
9.4.4 Sales and Marketing Analytics
9.4.4.1 Market Mix Modelling and Marketing ROI Assessment
9.4.5 Supply Chain Analytics
9.4.6 Workforce Analytics

10 Descriptive Analytics in Energy & Utilities: Market Size and Analysis
10.1 Industry Overview
10.2 Drivers, Restraints and Opportunities Analysis
10.3 Market Size and Analysis
10.4 Analytics Types and Applications
10.4.1 Customer Analytics
10.4.1.1 Customer Lifetime Value Analysis
10.4.2 Risk Analytics
10.4.2.1 Energy Risk Management
10.4.3 Financial Analytics
10.4.3.1 Revenue Assurance
10.4.3.2 Energy Forecasting
10.4.4 Sales and Marketing Analytics
10.4.4.1 Campaign Management
10.4.5 Grid Analytics
10.4.6 Workforce Analytics

11 Regions: Market Size and Analysis
11.1 Overview
11.1.1 Market Size and Analysis
11.2 North America
11.3 Western Europe
11.4 Central Eastern Europe
11.5 Asia Pacific
11.6 Middle East & Africa
11.7 Latin America

12 Vendor Profiles
12.1 IBM Corp.
12.1.1 Overview
12.1.2 Business unit
12.1.2.1 Geographic Revenue
12.1.3 Recent Developments
12.1.4 Business focus
12.1.5 SWOT analysis
12.1.6 Business Strategies
12.2 Hewlett-Packard Co.
12.2.1 Overview
12.2.2 Business Unit
12.2.3 Geographic Revenue
12.2.4 Recent Developments
12.2.5 Business Focus
12.2.6 SWOT Analysis
12.2.7 Business Strategy
12.3 Oracle Corp.
12.3.1 Overview
12.3.2 Business Unit
12.3.3 Geographic Revenue
12.3.4 Recent Developments
12.3.5 Business Focus
12.3.6 SWOT Analysis
12.3.7 Business Strategy
12.4 Dell Inc.
12.4.1 Overview
12.4.2 Business Unit
12.4.3 Geographic Revenue
12.4.4 Recent Developments
12.4.5 Business Focus
12.4.6 SWOT Analysis
12.4.7 Business Strategy
12.5 EMC Corp.
12.5.1 Overview
12.5.2 Business Unit
12.5.3 Geographic Revenues
12.5.4 Recent Developments
12.5.5 Business Focus
12.5.6 SWOT Analysis
12.5.7 Business Strategy
12.6 Accenture Plc.
12.6.1 Overview
12.6.2 Business Unit
12.6.3 Geographic Revenue
12.6.4 Recent Developments
12.6.5 Business Focus
12.6.6 SWOT Analysis
12.6.7 Business Strategy
12.7 Tata Consultancy Services Limited
12.7.1 Overview
12.7.2 Business Unit
12.7.3 Geographic Revenue
12.7.4 Recent Developments
12.7.5 Business Focus
12.7.6 SWOT Analysis
12.7.7 Business Strategy

13 Global Generalist
13.1 FICO
13.1.1 Overview
13.1.2 FICO Products
13.1.3 FICO in Analytics
13.2 SAP
13.2.1 Overview
13.2.2 SAP Products
13.2.3 SAP In Analytics
13.3 Microsoft Corp.
13.3.1 Overview
13.3.2 Microsoft Products
13.3.3 SAP In Analytics
13.4 SAS Institute Inc.
13.4.1 Overview
13.4.2 SAS Products
13.4.3 SAS In Analytics
13.5 TIBCO Software Inc.
13.5.1 Overview
13.5.2 TIBCO Products
13.5.3 TIBCO In Analytics
13.6 MicroStrategy Inc.
13.6.1 Overview
13.6.2 MicroStrategy Product
13.6.3 MicroStrategy in Analytics
13.7 Tableau Software Inc.
13.7.1 Overview
13.7.2 Tableau Product
13.7.3 Tableau in Analytics

14 Descriptive Analytics Market Competitive Landscape
14.1 Competitor Comparison Analysis

Annexure
Abbreviations

Research Framework

Infoholic research works on a holistic 360° approach in order to deliver high quality, validated and reliable information in our market reports. The Market estimation and forecasting involves following steps:

  • Data Collation (Primary & Secondary)
  • In-house Estimation (Based on proprietary data bases and Models)
  • Market Triangulation
  • Forecasting

Market related information is congregated from both primary and secondary sources.

Primary sources

involved participants from all global stakeholders such as Solution providers, service providers, Industry associations, thought leaders etc. across levels such as CXOs, VPs and managers. Plus, our in-house industry experts having decades of industry experience contribute their consulting and advisory services.

Secondary sources

include public sources such as regulatory frameworks, government IT spending, government demographic indicators, industry association statistics, and company publications along with paid sources such as Factiva, OneSource, Bloomberg among others.

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