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Global Business Intelligence Vendors Market - By Geography, Trends, Forecast - 2017 - 2022

  • ID: 4388200
  • Report
  • Region: Global
  • 133 pages
  • Mordor Intelligence
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The Global Big Data Market is valued at USD 28.04 billion in 2016 and is expected to reach a value of USD 97.23 billion by the end of 2022, growing at a projected CAGR of 19.44% during the forecast period of 2017 - 2022.

With the advent of Big data and the growing necessity to make precise decisions within a compressed period of time, Business Intelligence (BI) and Analytics has gained spotlight in the last decade. Market research suggests that this trend will steadily rise with time, development of technology and growing investments. BI encompasses all the aspects of market intelligence and analytics which helps transform raw data into relevant meaningful information for more efficient and precise decision making and strategy planning. The scope of BI is vast and can have a positive impact on each hierarchy and unit of the organization. BI Technologies primarily provides qualitative and quantitative insight into the past, present and the future operations of an organization.

The execution of efficient business intelligence can substantially improve financial performance, maximize utilization of resources and reduce the risk of making inconsistent and incorrect decisions.

Although IB technologies started in the early 1990s was mostly popular in North America, it has slowly revolutionized the field of business strategy and management and penetrated all over the world. Asia-Pacific, including Australia, New Zealand and China, has made significant leaps in the development and application of this technology.

BI can be categorized on the basis of Deployment, Type (Traditional BI, Cloud BI, Mobile BI and Social BI), Analytical use-cases, Function (Reporting, Data Mining, Data analytics, OLAP, Process and Text mining, CPM, DSS, Complex event processing etc.),vertical and Geographical area.

The report analyses the BI market on the basis of various market segments and geographies, provides a comprehensive analysis of the drivers, constraints and opportunities, suggests ongoing dynamics and trends and makes appropriate recommendation based on the market projections for the future period. It also enlists the requirement for implementation, the systematic work-flow for it and a review of the market leaders, challengers and new entrants with details of their strategies, products and services, latest trends and forecasts with their market share by size and revenue.

This Report Offers:

Market Definition for the Business Intelligence Vendors along with identification of key drivers and restraints for the market.

Market analysis for the Business Intelligence Vendors Market, with region specific assessments and competition analysis on a global and regional scale.

Identification of factors instrumental in changing the market scenarios, rising prospective opportunities and identification of key companies which can influence the market on a global and regional scale.

Extensively researched competitive landscape section with profiles of major companies along with their strategic initiatives and market shares.

Identification and analysis of the Macro and Micro factors that affect the Business Intelligence Vendors Market on both global and regional scale.

A comprehensive list of key market players along with the analysis of their current strategic interests and key financial information.
Note: Product cover images may vary from those shown
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1. Introduction
1.1 Market Definition
1.2 Market Scope
1.3 Comparison with Business Analytics
2. Research Methodology
3. Executive Summary
4. Market Overview
4.1 Overview
4.2 Industry Value Chain Analysis
4.3 Porter's Five Industry Forces Analysis
4.3.1 Industry competition
4.3.2 Potential of new entrants
4.3.3 Power of suppliers
4.3.4 Power of customers
4.3.5 Threat of substitute products
4.4 Implementation of BI
4.5 Evaluation Criteria
4.5.1 Product Evaluation Criteria
4.5.2 Vendor Evaluation Criteria
5. Market Dynamics
5.1 Introduction
5.2 Drivers
5.2.1 Data Discovery gaining importance
5.2.2 Availability of advanced Tools and Techniques
5.2.3 Advancement in algorithm development
5.2.4 Need for data analytics for Competitive Advantage
5.3 Constraints
5.3.1 Lack of Specialized skilled workforce
5.3.2 Data Privacy and Security
5.3.3 Lack of mobility in technology
5.4 Opportunities
5.4.1 Skill development
5.4.2 New innovative processes
5.4.3 Development of more user-friendly BI Kits
5.4.4 Emergence of self-service tools for data preparation
6. Business Analytics Market Segmentation
6.1 By Deployment
6.1.1 Cloud
6.1.2 On-Premise
6.2 By Type
6.2.1 Traditional BI
6.2.2 Cloud BI
6.2.3 Mobile BI
6.2.4 Social BI
6.3 By Analytics use-cases
6.3.1 Centralized BI provisioning
6.3.2 Decentralized analytics
6.3.3 Governed Data Discovery
6.3.4 OEM/embedded BI
6.4 By Function
6.4.1 Reporting
6.4.2 Data Mining
6.4.3 Data Analytics Prescriptive Analytics Predictive Analytics
6.4.4 Online analytical processing (OLAP)
6.4.5 Process Mining
6.4.6 Text Mining
6.4.7 Bench Marking
6.4.8 Complex Event Processing
6.4.9 Corporate Performance Management (CPM)
6.4.10 Decision Support System (DSS)
6.5 By Vertical
6.5.1 Retail and wholesale
6.5.2 E-Commerce
6.5.3 Healthcare
6.5.4 Communications
6.5.5 Digital Media
6.5.6 BFSI
6.5.7 Government
6.5.8 Health and Life Sciences
6.5.9 Pharmaceutical
6.5.10 Telecom and IT Industry
6.5.11 Media and Entertainment
6.5.12 Education
6.5.13 Energy and Power
6.5.14 Manufacturing
6.5.15 Transportation
6.5.16 Food and Beverages
6.5.17 Education
6.5.18 Consulting
6.5.19 Others
6.6 By Business Solutions
6.6.1 Behavioral Analysis
6.6.2 Customer Analysis
6.6.3 Marketplace analysis
6.6.4 Performance Analysis
6.6.5 Sales Channel Analysis
6.6.6 Productivity Analysis
6.6.7 Supply Chain Analysis
6.7 By Geography
6.7.1 North America U.S.A. Canada
6.7.2 Europe U.K. Germany France Sweden
6.7.3 Asia Pacific Australia China India Japan Others
6.7.4 Latin America Brazil Mexico Argentina
6.7.5 Middle East U.A.E. Saudi Arabia South Africa
7. Competitive Intelligence (Profiles, Strengths and weaknesses, Business Models, Strategies, Products and Services and technological developments)
7.1 Microsoft
7.2 Tibco
7.3 Tableau
7.4 IBM
7.5 Oracle
7.6 Actuate
7.7 Halo
7.8 Birst
7.9 Pentaho
7.10 Actuate
7.11 SAS
7.12 SAP
7.13 Logi Analytics
7.14 Domo
7.15 Targit
7.16 Prognoz
7.17 QlikTech
7.18 Bitam
7.19 GoodData
7.20 SiSence
7.21 Yellofin
8. Market Trends and Projections
8.1 Mergers and Acquisitions
8.2 Future Trends and Forecasts
8.3 Innovations
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