Market Overview

Dark Analytics: Worldwide Market Overview & Outlook 2018-2023 - Limited Number of Affordable Dark Analytics Management and Consulting Firms is Challenging the Market


Dublin, July 20, 2018 (GLOBE NEWSWIRE) -- The "Dark Analytics Market by Component (Solutions, Services), Deployment Mode (Cloud, On-premises), Business Application (Marketing, Operations, Finance, Human Resources), Vertical (BFSI, Healthcare), and Region - Global Forecast to 2023" report has been added to's offering.

"Rapid growth in data generated by organizations due to increasing adoption of IoT is expected to drive the dark analytics market"

The dark analytics market size is estimated to be USD 278.3 million in 2018 and is projected to reach USD 867.7 million by 2023, at a CAGR of 25.5% during the forecast period.

The major factors driving the growth of the dark analytics market include rapid growth in data generated by organizations due to increasing adoption of IoT and adoption of machine learning & artificial intelligence for dark data analysis.

However, the existence of skills gap and difficulties in synchronization & integration of non-uniform data are likely to hamper the market growth.

"The BFSI segment is estimated to account for the largest market share in 2018"

Based on vertical, the BFSI segment is estimated to account for the largest market share in 2018. This industry vertical is one of the early adopters of analytics solutions.

Organizations in the BFSI vertical are capturing various dark data that includes investment account usage behaviors, trends in customer usage of online and mobile products and services, customer services satisfaction levels, and demographics.

Being a data-driven industry, BFSI is harnessing the power of dark analytics solutions and services to understand customer preferences and accordingly updating its services.

"APAC is expected to grow at the highest rate during the forecast period"

Based on region, the Asia Pacific (APAC) dark analytics market is projected to grow at the highest CAGR during the forecast period. Key countries considered for market analysis in the Asia Pacific region include China, Japan, Australia, and New Zealand. Companies in this region are shifting their focus from customer acquisition to customer experience.

They are increasingly investing in customer intelligence to gain insights into customer sentiment and buying behavior. Companies are also focused on the adoption of cloud-based analytics services, which, in turn, is contributing to the growth of the dark analytics market in this region.

Moreover, high internet penetration, improvements in cloud infrastructure, increase in the number of smart city initiatives, and the presence of dark analytics startups are factors fueling the growth of the dark analytics market in APAC.

Key Topics Covered

1 Introduction
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Market Segmentation
1.4 Years Considered for the Study
1.5 Currency
1.6 Stakeholders

2 Research Methodology
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data Breakdown of Primaries Key Industry Insights
2.2 Market Size Estimation
2.3 Research Assumptions
2.4 Limitations

3 Executive Summary

4 Premium Insights
4.1 Attractive Opportunities in the Dark Analytics Market
4.2 North America: Market By Component
4.3 Europe: Market By Business Application
4.4 Asia Pacific: Market By Deployment Mode
4.5 Rest of the World: Market By Vertical
4.6 Market By Vertical & Region

5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers Rapid Growth in Data Generated By Organizations Due to Increasing Adoption of IoT Adoption of Artificial Intelligence and Machine Learning for Dark Data Analysis Dark Data Solutions Enhancing Organizational Return on Investment
5.2.2 Restraints Non-Uniformity of Data
5.2.3 Opportunities Increasing Investments in Dark Analytics Technology By SMEs
5.2.4 Challenges Limited Number of Affordable Dark Analytics Management and Consulting Firms Presence of Skill Gap in the Market
5.3 Industry Trends
5.3.1 Introduction
5.3.2 Data Classification
5.3.3 Case Studies Case Study 1: Globalia Implemented Datumize's Dark Analytics Solutions to Streamline Revenue and Service Level Case Study 2: Etstur Used Datameer's Solutions to Personalize Customer Experience Case Study 3: Airline Company Drives Sales and Increases Revenue Through Datumize's Solutions Case Study 4: A Global Bank Used the Pendo Data Platform to Uncover Its Dark Data

6 Dark Analytics Market, By Component
6.1 Introduction
6.2 Solutions
6.3 Services
6.3.1 Consulting & System Integration
6.3.2 Training & Support
6.3.3 Managed Services

7 Market By Deployment Mode
7.1 Introduction
7.2 Cloud
7.3 On-Premises

8 Market By Business Application
8.1 Introduction
8.2 Marketing
8.3 Operations
8.4 Finance
8.5 Human Resources

9 Dark Analytics Market, By Vertical
9.1 Introduction
9.2 Retail & E-Commerce
9.3 BFSI
9.4 Healthcare
9.5 Travel & Hospitality
9.6 Government
9.7 Telecommunication
9.8 Others

10 Regional Analysis
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.3 Europe
10.3.1 UK
10.3.2 Germany
10.3.3 Rest of Europe
10.4 Asia Pacific
10.4.1 China
10.4.2 Australia
10.4.3 Japan
10.4.4 Rest of Asia Pacific
10.5 Rest of the World

11 Competitive Landscape
11.1 Overview
11.2 Competitive Scenario
11.2.1 New Product Launches
11.2.2 Business Expansions
11.2.3 Mergers & Acquisitions
11.2.4 Agreements & Partnerships
11.3 Market Ranking Analysis for the Dark Analytics Market

12 Company Profiles
12.1 IBM
12.2 SAP SE
12.3 Amazon Web Services
12.4 Micro Focus
12.5 Dell EMC
12.6 Microsoft
12.7 AvePoint
12.8 Teradata
12.9 Symantec
12.1 Datameer
12.11 IRI
12.12 SAS Institute
12.13 Commvault
12.14 Veritas
12.15 Cohesity
12.16 Datumize
12.17 SynerScope
12.18 Key Innovators
12.18.1 Komprise
12.18.2 Lattice
12.18.3 Quantta Analytics
12.18.4 Zoomdata
12.18.5 Formcept
12.18.6 Globanet
12.18.7 Esdebe Consultancy
12.18.8 Levi, Ray & Shoup

For more information about this report visit

         Laura Wood, Senior Manager
         For E.S.T Office Hours Call 1-917-300-0470
         For U.S./CAN Toll Free Call 1-800-526-8630
         For GMT Office Hours Call +353-1-416-8900
         Related Topics: Software, Big Data, Data Analytics 

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