Data fusion is a collection of multiple big data sources which delivers a comprehensive view of customer and business data across an organization. The Data Fusion market accounted for USD XX Billion in 2017 and is projected to reach USD XX Billion by 2025, at a Compound Annual Growth Rate (CAGR) of XX% over the forecast period. The tools and services helps to detect and combines the data to generate improved information and extract new knowledge that could be shared with the authorized users for better decision-making.
The different segment of Data Fusion market are business function, component, deployment type, end-user and region.
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Market segmented on the basis of end-users (BFSI, Retail, E-commerce, Healthcare, IT & Telecommunication, Media & Entertainment, Education, Energy, Government, and Manufacturing):
Among all the end-users, BFSI accounted for the largest market share majorly due to the adoption of data fusion for analyzing the volume and variety of data which is increasing on daily basis with the growing demand for collaborating data from various sources such as financial transactions in banks and other financial services institutes.
Market segmented on the basis of business function (Information Technology, Operations, Human Resources, Sales and Marketing, Finance):
Human Resource business function is expected to witness the highest CAGR over the forecast period among all business functions due to the growth in need to manage and analyze HR data with minimal help from the IT team. The technologies are used for various operations across an organization. It also helps to resolve operations related issues in real time and the streamline operations across industries.
Market segmented on the basis of region (North America, Europe, Asia-Pacific and Rest of the world):
North America held the largest share majorly due to the presence of various developed economies, such as Canada and the US, and enterprises’ focus on innovating the existing solutions.
North America is a hub for developing technologies and the home for technology startups. The reasons attributed technological advancements and early adoption of data management systems in the region. Furthermore, the adoption of cloud hosting among companies in North America is high.
APAC is expected to grow at the fastest growth rate during the forecast period, due to the presence of large number of colocation data centers that are supporting the growth of the data fusion market in this region. Also, increasing technological adoption and huge opportunities across various verticals in countries such as India, China and Japan.
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The major market players of the global Data Fusion market are:
AGT International, Esri, LexisNexis, Palantir Technologies, Thomson Reuters, InvenSense, Clarivate Analytics, Cogint, Merrick & Company, INRIX and others.
These companies using various strategies such as merger & acquisition, collaboration, partnership and product launch. Whereas, merger & acquisition is the key strategy adopted by the companies in the market.
Rapid adoption of data-driven decision-making and introduction of IIoT are the drivers of the data fusion market. Furthermore, increasing adoption of data fusion tools and services among SMEs and the need to create insights from unused data are expected to boost the growth of the market over the forecast period. However, high investment cost, varying regulatory policies, lack of skilled workforce and managing and maintaining data quality are expected to hamper the growth of the market.
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Table of Contents:
1. Research Methodology & Scope
1.1. Scope of the Study
1.1.1. Research Objectives
1.1.2. Assumptions & Limitations
1.2. Research Process
1.2.1. Primary Process
1.2.2. Secondary Process
1.2.3. Forecast Model
2. Introduction
2.1. Market Definition
2.2. Recent Developments
3. Executive Summary
4. Market Factor Analysis
4.1. Growth Potential Analysis
4.2. Porter’s Five Forces Analysis
4.3. Value/Supply Chain Analysis
4.4. PESTEL Analysis
5. Industry Impact Forces
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