The Global Cognitive Data Management Market is estimated to reach USD 2.1 Billion by 2027 at a CAGR of 19.7%, predicts forencis research (FSR).
Data management is a process to manage data as a valuable resource and it is the primary task in the IT sector. The cognitive data management contains the technological platform that is used in cognitive computing which is composed of machine learning, natural language processing, and speech recognition. Moreover, it is used to reduce the workload and to manage data. Also, it is used in the field of education and IT sector.
Market Drivers:
The increasing growth for IoT technology is excepted to improve performance and reduce the workload of the organizations. In addition, it increases the amount of digital data and innovative analytics, and improves the data security. It also reduces administrative workloads and errors. Furthermore, it helps in resolving the issues of the organizations by optimizing the data, data protection, preservation, and privacy.
Hence, increasing demand for IoT technology is expected to surge the cognitive data management market during the forecast period.
Growing demand for cognitive computing results in both structured and unstructured data management. It is also used to provide the most efficient and effective information from the stored data. However, it involves the real-time analysis of the data, which gives the ability to solve the problems. Also, it is used for managing the data operations across all the industries.
This trend is expected to continue in the forecast period, which is anticipated to drive the cognitive data management market during the forecast period.
Market Challenges:
Some of the organizations are still finding it difficult to adopt the cognitive data management solutions due to data security issues. Furthermore, risks associated with the implementation of the cognitive systems hinder the market growth
The report on the cognitive data management market covers a deep dive analysis of historic, recent and current market trends. furthermore, market share/ranking analysis of key players, market dynamics, competition landscape, country-wise analysis for each region covered and the entire supply chain dynamics are covered through the below segmentation.
Report Features |
Specifics |
---|---|
Historical/Estimated/Forecasted Market Size Years |
2018-2027 |
Base Year for Market Calculation |
2019 |
Forecasted Period |
2020-2027 (2020 estimated year, forecasted up to 2027) |
Measured Units |
Value (USD Million) |
Segments Included |
Deployment Mode, Component, Business Usage, End-User, and Region |
Regional Coverage |
Asia-Pacific, North America, Europe, Middle East & Africa, and South America |
For the scope of report, In-depth segmentation is offered by Forencis Research
Cognitive Data Management Market, By Deployment Mode
Cognitive Data Management Market, By Component
Cognitive Data Management Market, By Business Usage
Cognitive Data Management Market, By End-User
Cognitive Data Management Market, By Region
1 INTRODUCTION
1.1 Research Objectives
1.2 Market Definition
1.3 Research Scope
1.4 Regional Coverage
1.5 Research Timeline
1.6 Assumptions
1.7 Limitations
2 RESEARCH DESIGN & SCOPE
2.1 Introduction
2.2 Primary Research
2.2.1 Key Industry Expert Insight
2.3 Secondary Research
2.3.1 Vital Data from Secondary Sources
2.4 Market Size Estimation
2.5 Data Validation & Triangulation
3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Introduction
4.2 Drivers
4.2.1. Increasing Demand for IoT Technology
4.2.2. Growing Demand for Cognitive Computing
4.3 Restraints
4.3.1. Lack of Skilled Professionals
4.4 Opportunities
4.4.1 Rising Advancement for IT Infrastructures
4.4.2 Adoption for Advanced Analytics
4.5 Challenges
4.5.1 Complexity and Privacy Issues
5 INDUSTRY TRENDS – PORTERS FIVE FORCES ANALYSIS
5.1 Introduction
5.1.1. Power of Buyers
5.1.2. Power of Suppliers
5.1.3. Intensity of Competition
5.1.4. Challenges of Substitutes
5.1.5. Challenges of New Entrants
5.2 Macro-Economic Indicators
6 COGNITIVE DATA MANAGEMENT MARKET BY DEPLOYMENT MODE, Market Size in USD Million (2018-2027)
6.1 Introduction
6.2 Cloud
6.3 On-premise
7 COGNITIVE DATA MANAGEMENT MARKET BY COMPONENT, MARKET Size in USD Million (2018-2027)
7.1 Introduction
7.2 Solution
7.2.1 Data Integration
7.2.2 Data Readiness and Quality
7.2.3 Data Management Efficiency
7.3 Services
7.3.1 Support & Maintenance Services
7.3.2 Consultancy
8 COGNITIVE DATA MANAGEMENT MARKET BY BUSINESS USAGE, MARKET Size in USD Million (2018-2027)
8.1 Introduction
8.2 Human Resource
8.3 Legal
8.4 Finance
8.5 Marketing
9 COGNITIVE DATA MANAGEMENT MARKET BY END-USER, MARKET Size in USD Million (2018-2027)
9.1 Introduction
9.2 BFSI
9.3 Manufacturing
9.4 IT & Telecom
9.5 Travel
9.6 Media and Entertainment
9.7 Government & Legal Services
9.8 Others
10 COGNITIVE DATA MANAGEMENT MARKET BY REGION, Market Size in USD Million (2018-2027)
10.1 North America
8.1.1. US
8.1.2. Canada
8.1.3. Mexico
10.2 Europe
8.2.1. Germany
8.2.2. France
8.2.3. Italy
8.2.4. UK
8.2.5. Spain
8.2.6. The Netherlands
8.2.7. Rest of Europe
10.3 Asia-Pacific
8.3.1. China
8.3.2. Japan
8.3.3. India
8.3.4. South Korea
8.3.5. Taiwan
8.3.6. Rest of Asia-Pacific
10.4 Middle East & Africa
8.4.1. Saudi Arabia
8.4.2. UAE
8.4.3. Rest of Middle East & Africa
10.5 South America
8.5.1. Brazil
8.5.2. Argentina
8.5.3. Rest of South America
11 COMPETITIVE LANDSCAPE
11.1 Introduction
11.2 Market Ranking/Share Analysis of Key Companies
11.3 Company Benchmarking
12 COMPANY PROFILES
12.1 IBM Corporation
12.1.1 Company Overview
12.1.2 Financial Overview
12.1.3 Products/Solutions/Services Offered
12.1.4 Key Developments
12.1.5 SWOT Analysis
12.2 Salesforce.com, Inc.
12.3 SAP SE
12.4 Informatica
12.5 Cognizant
12.6 SAS Institute Inc.
12.7 Microsoft Corporation
12.8 Oracle Corporation
12.9 Infosys Limited
12.10 Hewlett Packard Enterprise Co
12.11 Other Key Companies
13 APPENDIX
13.1 Key Industry Expert Insights
13.2 Primary Discussion Guide
13.3 Customization Options
Note1: Tentative table of contents, may get updated during the course of research.
Note2: Company financial information is subject to availability in public domain