Business Industry Reports

2019 Digital Intelligence Platform Market: World Business Growth, Demand, Trends, Key Players and Future Outlook 2023

 

Pune, India -- (SBWIRE) -- 09/03/2019 -- Global Digital Intelligence Platform Market Synopsis:

Digital Intelligence Platform Market report studies the Global Digital Intelligence Platform Market over the forecast period of 2019 to 2023. This Report covers the manufacturers data, including: shipment, price, revenue, gross profit, interview record, business distribution etc., these data help the consumer know about the competitors better. This report also covers all the regions and countries of the world, which shows a regional development status, including market size, volume and value, as well as price data.

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The Global "Digital Intelligence Platform Market" research 2019 highlights the major details and provides in-depth analysis of the market along with the future growth, prospects and Industry demands analysis explores with the help of complete report with 90 Pages, figures, graphs and table of contents to analyze the situations of global Digital Intelligence Platform Market and Assessment to 2023.

Digital Intelligence Platform Market report begins from overview of Industry Chain structure, and describes industry environment, then analyses market size and forecast of Digital Intelligence Platform Market by product, region and application, in addition, this report introduces market competition situation among the vendors and company profile, besides, market price analysis and value chain features are covered in this report. The scope of the report includes a detailed study of Digital Intelligence Platform Market with the reasons given for variations in the growth of the industry in certain regions.

Digital intelligence platforms are used to obtain real time business insights. They provide competitive differentiation and increasing customer retention activity. Digital intelligence platforms make use of data management tools, which are responsible for collecting, storing, and managing digital data of the consumers, which can be used for analyzing customer behavior to identify holistic behavior of customers.

The market is primarily driven by the adoption of digital intelligence platforms for competitive differentiation and increasing customer retention activity, rising focus on social media analytics and personalization, and need for optimizing digital experiences across all touchpoints.

Digital Intelligence Platform Market Covers the Table of Contents With Segments, Key Players And Region. Based on Product Type, Digital Intelligence Platform Market is sub segmented into Analytics, Data Management, Engagement Optimization. On the Basis of Application, Market is sub segmented into Large Enterprises and Small & Medium Enterprises (SMEs).

Major Players profiled in the Digital Intelligence Platform Market report incorporate: Adobe Systems, IBM, SAS Institute, Google, Evergage, Mixpanel, Optimizely, Webtrekk, New Relic, Localytics, Cxense

Industry News:

SAS, the leader in advanced analytics, is enhancing its automated, simple, and powerful analytics platform to help digital disruptors and emerging leaders blaze a trail forward. The updated SAS Platform delivers additional innovation in artificial intelligence (AI), specifically in the areas of machine learning, computer vision, natural language processing (NLP) and other technologies that underpin AI.

Building on its recently announced $1 billion investment in AI, SAS is also refining computer-vision software to help organizations use visual data to improve business outcomes.

With the latest release of the SAS Platform, SAS automates the complex tasks required to build world-class analytical models. Data cleansing, data transformations, selecting best variables, model building and comparing models, model deployment and retraining tasks are automated while using established best practices.

The SAS Platform automatically compares thousands of analytical models to help choose the best for a given business problem. Using natural language generation (NLG), analytical results are displayed in plain language, so users of all backgrounds can easily interpret them and make informed business decisions faster.

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Region segment: This report is segmented into several key regions, with sales, revenue, market share (%) and growth Rate (%) of DIGITAL INTELLIGENCE PLATFORM in these regions, from 2014 to 2023 (forecast), covering: North America, Europe, Asia Pacific, Middle East & Africa and South America.

Digital Intelligence Platform Market Questions Answered in this Report:

1 What are the major market drivers, challenges, and opportunities in the global Digital Intelligence Platform Market?

2 What was the market value of the leading segments and sub-segments of the global Digital Intelligence Platform Market in 2018?

3 How will each segment of the global Digital Intelligence Platform Market grow during the forecast period and what will be the revenue generated by each of the segments by the end of 2023?

4 What are the influencing factors that may affect the market share of the key players?

5 How will the industry evolve during the forecast period 2019-2023?

6 Who are the key players in the Digital Intelligence Platform Market and end user market and what are their contributions?

Major Points in Table of Contents:

Table of Contents

1 Digital Intelligence Platform Product Definition

2 Global Digital Intelligence Platform Market Manufacturer Share and Market Overview

3 Manufacturer Digital Intelligence Platform Business Introduction

4 Global Digital Intelligence Platform Market Segmentation (Region Level)

5 Global Digital Intelligence Platform Market Segmentation (Product Type Level)

6 Global Digital Intelligence Platform Market Segmentation (Industry Level)

7 Global Digital Intelligence Platform Market Segmentation (Channel Level)

8 Digital Intelligence Platform Market Forecast 2018-2023

9 Digital Intelligence Platform Segmentation Product Type

10 Digital Intelligence Platform Segmentation Industry

11 Digital Intelligence Platform Cost of Production Analysis

12 Conclusion

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