Press release
Data Visualization Platform Market - Highlights By Type And End Users, Phenomenal Growth Forecast Till 2027
Data Visualization Platform Market
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The List of Companies
1. Dundas Data Visualization, Inc.
2. Hitachi Vantara LLC
3. InetSoft Technology Corp.
4. Information Builders
5. Microsoft Corporation
6. MicroStrategy Incorporated
7. Oracle Corporation
8. Salesforce.com, inc.
9. SAP SE
10. TIBCO Software Inc.
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global data visualization platform market based on various segments. It also provides market size and forecast estimates from the year 2017 to 2027 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The data visualization platform market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting data visualization platform market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period, i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South & Central America after evaluating political, economic, social and technological factors affecting the data visualization platform market in these regions.
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MARKET DYNAMICS
The data visualization platform market is expected to soar in the forecast period owing to driving factors such as increasing adoption of cloud coupled with the robust growth of advanced analytics. Additionally, increased focus on data-driven decisions by the businesses is further propelling the growth of the data visualization platform market. However, lack of technical skills is likely to hinder the market growth during the forecast period. Nevertheless, growing popularity of business intelligence is expected to create significant opportunities for the players active in the data visualization platform market.
MARKET SCOPE
The "Global Data Visualization Platform Market Analysis to 2027" is a specialized and in-depth study of the technology, media and telecommunications industry with a special focus on the global market trend analysis. The report aims to provide an overview of data visualization platform market with detailed market segmentation by deployment, organizational department, industry vertical, and geography. The global data visualization platform market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading data visualization platform market players and offers key trends and opportunities in the market.
MARKET SEGMENTATION
The global data visualization platform market is segmented on the basis of deployment, organizational department, and industry vertical. Based on deployment, the market is segmented as cloud-based and on-premise. On the basis of the organizational department, the market is segmented as marketing, executive management, operations, sales, and others. The market on the basis of the industry vertical is classified as BFSI, IT & telecom, government, education, retail & e-commerce, manufacturing, and others.
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TABLE OF CONTENTS
1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. PUBLISHER RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1 By Deployment
1.3.2 By Organizational Department
1.3.3 By Industry Vertical
1.3.4 By Region
1.3.4.1 By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. LANDSCAPE
4.1. OVERVIEW
4.2. PEST ANALYSIS
4.2.1 North America - Pest Analysis
4.2.2 Europe - Pest Analysis
4.2.3 Asia-Pacific - Pest Analysis
4.2.4 Middle East and Africa - Pest Analysis
4.2.5 South and Central America - Pest Analysis
4.3. ECOSYSTEM ANALYSIS
4.4. EXPERT OPINIONS
5. KEY MARKET DYNAMICS
Continuedβ¦
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