Data Lake Global Market 2019: Industry Growth, Trends, Size, Share, Outlook, Analysis, Competitive Landscape, Development Status by Business Functions till 2023

Data Lake Global Market 2019: Industry Growth, Trends, Size, Share, Outlook, Analysis, Competitive Landscape, Development Status by Business Functions till 2023

“Data Lake Market”
Global Data Lakes Market Overview, Sales Revenue by Component (Data Discovery, Data Integration & Management, Data Lakes Analytics, Data Visualization), Business Function (Sales, Finance, HR), Organization Size, Deployment, Vertical – Forecast till 2023 Projected to Grow at a CAGR of 28 % during Review Period of 2019 to 2023

Developments in technology and storage devices are resulting in a lower-cost data warehouse, which is producing a higher number of users. the advancement of high volume storage technology such as Blu-ray disk with enhanced network connectivity features is driving down the cost of big data lakes storage. solid-state drives provide a better performance, higher readability, robustness, high data speed, stability and reliability, and resiliency, which is an additional market attraction. a rise in investments and striking applications growth and potential are significant opportunities for market players.

Competitive Analysis:

Some of the market players in the global data lakes market are Microsoft Corporation (U.S.), Informatica (U.S.), Teradata Corporation (U.S.), Capgemini (France), EMC Corporation (U.S.), Oracle Corporation (U.S.), Zaloni (U.S.), Cloudera Inc. (U.S.), SAP SE (Germany), SAS Institute (U.S.), Hitachi (Japan) and ATOS SE (France) among others

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Data lakes offer attractive benefits like high speed, scalability, centralization, advanced data lakes analytics, and integration of data, all in one system, which consists of coherence and pattern identification. Promising market opportunities are being generated by investments by technology industry giants entering the market. The potential applications of big data technologies comprise of price optimization, business forecasting, search engine optimization (SEO), business intelligence, better sample selection for analytics, among others. The opportunities include quantification of the link between actions and revenues, higher market penetration, better customer targeting and engagement, real-time data for feedback, corrective actions to prevent customer switching, not to mention better customer satisfaction. The development of analytics computer languages has resulted in the faster growth of Azure data lakes and Hadoop data lake systems.

The global data lakes market is expected to grow at a CAGR of approximately 28% during the forecast period 2019-2023.

Segmental Analysis:

The global data lakes market is segmented based on the component, business function, organization size, deployment, and vertical.

Based on the component, the market is segmented into software and service. The software segment is further classified into data discovery, data integration and management, data lakes analytics and data visualization. The service segment is also bifurcated into managed services and professional services. The professional services segment comprises of system integration & deployment data lakes services, and support & maintenance.

Based on the business function, the data lakes market is segmented into operations, marketing, finance, sales, and human resources. Based on the organization size, the market for data lakes  is bifurcated into SMEs and large enterprises.  The growth is majorly accredited to small and medium enterprises where low-cost solutions are much required.

Based on the deployment, the market is bifurcated into the cloud and on-premise. The cloud-based deployment sub-segment is expected to hold the largest market share of the data lakes market and is also expected to grow at the highest rate over the forecast period owing to the increasing implementation of cloud-based technologies across various industry verticals.While, based on the vertical, the market is segmented into healthcare, BFSI, manufacturing, media & entertainment, IT & telecommunication, energy & utilities, and others.

Regional Analysis:

The global data lakes market is spanned across the Asia Pacific, North America, Europe, and the Rest of the World. 

North America is touted to account for the largest share of the market, whereas the Asia Pacific is projected to grow at the fastest rate during the forecast period. The expansion of the market in North America is attributed to technological advancements and increased adoption of cloud-based technologies across various industry verticals. he North America region holds the largest share of the market across the globe, followed by Europe and the Asia Pacific region.

The U.S. and Canada are leading the North America market due to rising technological enhancements and the development of intelligent connected devices in the region. Moreover, the region has a well-established infrastructure, which allows for faster implementation of advanced technologies. Additionally, the growing adoption of the Internet of things and the rise in demand for business agility are significant factors driving the growth of the data lakes market in the region.

Table of Content:

1 Executive Summary

2 Scope of The Report

2.1 Market Definition

2.2 Scope of The Study

2.2.1 Research Objectives

2.2.2 Assumptions & Limitations

2.3 Markets Structure

3 Market Research Methodology

3.1 Research Process

3.2 Secondary Research

3.3 Primary Research

3.4 Forecast Model

4 Market Landscape

4.1 Porter’s Five Forces Analysis

4.1.1 Threat of New Entrants

4.1.2 Bargaining Power of Buyers

4.1.3 Threat of Substitutes

4.1.4 Segment Rivalry

4.2 Value Chain/Supply Chain of Global Data Lakes Market

Continued. . .

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List of Tables:

Table 1 Global Data Lakes Market: By Region, 2017-2023

Table 2 North America Data Lakes Market: By Country, 2017-2023

Table 3 Europe Data Lakes Market: By Country, 2017-2023

Table 4 Asia-Pacific Data Lakes Market: By Country, 2017-2023

Table 5 Middle East & Africa Data Lakes Market: By Country, 2017-2023

Continued. . .

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