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Global Self-Service BI Market

Published on: Dec 2017 | From USD $3750 | Published By: KEY MARKET INSIGHTS | Number Of Pages: 130

The Global Self-Service BI Market was valued at USD 3.75 billion in 2016 and is projected to reach USD 13.66 billion by 2025, growing at a CAGR of 15.45% from 2017 to 2025.

Self-service business intelligence (SSBI) is an approach to data analytics that enables business users to access and work with corporate data even though they do not have a background in statistical analysis, business intelligence or data mining. SSBI has emerged as a popular option as it allows a client company to do more without as much support from an IT vendor. Benefits of SSBI include - improving organizational decision making, increasing response time, improve allocation of resources, improve organizational results, and reduces organizational risks.

Sample Infographics:




Market Dynamics:
1. Market Drivers
1.1 Emergence of cloud computing in BI market
1.2 Rising adoption by small and medium businesses
1.3 Growing volume of business data
1.4 Increasing demand for In-depth competitive insights
1.5 Usage ease
2. Market Restraints
2.1 Concerns for data security and privacy
2.2 Less investment in new technologies and lack of transformation
2.3 High investment costs
2.4 Poor data governance process


Market Segmentation:
The Global Self-Service BI Market is segmented on the business function, component, deployment model, application, vertical, and region.

1. Business Function:
1.1 Finance
1.2 Marketing
1.3 Sales
1.4 Human resources
1.5 Operations

2. By Component:
2.1 Software
2.2 Services
2.2.1 Managed services
2.2.2 Professional services
2.2.2.1 Support and maintenance services
2.2.2.2 Consulting services

3. By Deployment Mode:
3.1 On-cloud
3.2 On-premises

4. By Application:
4.1 Risk and compliance management
4.2 Fraud and security management
4.3 Operations management
4.4 Sales and marketing management
4.5 Customer engagement and analysis
4.6 Predictive asset maintenance
4.7 Supply chain management and procurement
4.8 Others

5. By Vertical:
5.1 Healthcare
5.2 Government
5.3 IT and Telecom
5.4 Banking, Financial Services, and Insurance (BFSI)
5.5 Transportation and Logistics
5.6 Retail and e-commerce
5.7 Media and Entertainment
5.8 Energy and Utilities
5.9 Others

6. By Region:
6.1 North America (U.S., Canada, Mexico)
6.2 Europe (Germany, UK, France, Rest of Europe)
6.3 Asia Pacific (China, India, Japan, Rest of Asia Pacific)
6.4 Latin America (Brazil, Argentina, Rest of Latin America)
6.5 Middle East & Africa

Competitive Landscape:
The major players in the market are as follows:
1. IBM Corporation
2. SAP SE
3. SAS Institute
4. Tibco Software
5. Tableau Software
6. Microsoft Corporation
7. Microstrategy, Inc.
8. Oracle Corporation
9. ZOHO Corporation
10. Qlik Technologies, Inc.

These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.

Research Methodology:
Research study on the Global Self-Service BI Market was performed in five phases which include Secondary research, Primary research, subject matter expert advice, quality check and final review.
The market data was analyzed and forecasted using market statistical and coherent models. Also market shares and key trends were taken into consideration while making the report. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis.

To know more about the Research Methodology and other aspects of the research study, kindly get in touch with our sales team

INTRODUCTION OF GLOBAL SELF-SERVICE BI MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL SELF-SERVICE BI MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
4.5 Regulatory Framework

5 GLOBAL SELF-SERVICE BI MARKET , BY BUSINESS FUNCTION
5.1 Overview
5.2 Finance
5.3 Marketing
5.4 Sales
5.5 Human resources
5.6 Operations

6 GLOBAL SELF-SERVICE BI MARKET , BY COMPONENT
6.1 Overview
6.2 Software
6.3 Services
6.3.1 Managed services
6.3.2 Professional services
6.3.2.1 Support and maintenance services
6.3.2.2 Consulting services

7 GLOBAL SELF-SERVICE BI MARKET , BY DEPLOYMENT MODE
7.1 Overview
7.2 On-cloud
7.3 On-premises

8 GLOBAL SELF-SERVICE BI MARKET , BY APPLICATION
8.1 Overview
8.2 Risk and compliance management
8.3 Fraud and security management
8.4 Operations management
8.5 Sales and marketing management
8.6 Customer engagement and analysis
8.7 Predictive asset maintenance
8.8 Supply chain management and procurement
8.9 Others

9 GLOBAL SELF-SERVICE BI MARKET , BY VERTICAL
9.1 Overview
9.2 Healthcare
9.3 Government
9.4 IT and Telecom
9.5 Banking, Financial Services, and Insurance (BFSI)
9.6 Transportation and Logistics
9.7 Retail and e-commerce
9.8 Media and Entertainment
9.9 Energy and Utilities
9.10 Others

10 GLOBAL SELF-SERVICE BI MARKET , BY GEOGRAPHY
10.1 Overview
10.2 North America Regional Market Estimates and Forecasts, 2012 - 2025
10.2.1 U.S.
10.2.2 Canada
10.2.3 Mexico
10.3 Europe Regional Market Estimates and Forecasts, 2012 - 2025
10.3.1 Germany
10.3.2 U.K.
10.3.3 France
10.3.4 Rest of Europe
10.4 Asia Pacific Regional Market Estimates and Forecasts, 2012 - 2025
10.4.1 China
10.4.2 Japan
10.4.3 India
10.4.4 Rest of Asia Pacific
10.5 Latin America Regional Market Estimates and Forecasts, 2012 - 2025
10.5.1 Brazil
10.5.2 Argentina
10.6 Rest of the World Regional Market Estimates and Forecasts, 2012 – 2025

11 GLOBAL SELF-SERVICE BI MARKET COMPETITIVE LANDSCAPE
11.1 Overview
11.2 Company Market Share
11.3 Vendor Landscape
11.4 Key Development Strategies

12 COMPANY PROFILES
12.1 IBM Corporation
12.1.1 Overview
12.1.2 Financial Performance
12.1.3 Product Outlook
12.1.4 Key Developments

12.2 SAP SE
12.2.1 Overview
12.2.2 Financial Performance
12.2.3 Product Outlook
12.2.4 Key Developments

12.3 SAS Institute
12.3.1 Overview
12.3.2 Financial Performance
12.3.3 Product Outlook
12.3.4 Key Developments

12.4 Tibco Software
12.4.1 Overview
12.4.2 Financial Performance
12.4.3 Product Outlook
12.4.4 Key Developments

12.5 Tableau Software
12.5.1 Overview
12.5.2 Financial Performance
12.5.3 Product Outlook
12.5.4 Key Developments

12.6 Microsoft Corporation
12.6.1 Overview
12.6.2 Financial Performance
12.6.3 Product Outlook
12.6.4 Key Developments

12.7 Microstrategy, Inc.
12.7.1 Overview
12.7.2 Financial Performance
12.7.3 Product Outlook
12.7.4 Key Developments

12.8 Oracle Corporation
12.8.1 Overview
12.8.2 Financial Performance
12.8.3 Product Outlook
12.8.4 Key Developments

12.9 ZOHO Corporation
12.9.1 Overview
12.9.2 Financial Performance
12.9.3 Product Outlook
12.9.4 Key Developments

12.10 Qlik Technologies, Inc.
12.10.1 Overview
12.10.2 Financial Performance
12.10.3 Product Outlook
12.10.4 Key Developments

13 Appendix
13.1 Related Reports

SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.

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