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North America Data Lake Market Size, Share & Industry Trends Analysis Report By Component (Solution, and Services), By Enterprise Size, By Deployment Type (On-premise, and Cloud), By Vertical, By Country and Growth Forecast, 2023 - 2030

Publisher Knowledge Based Value (KBV) Research
Published Sep 30, 2023
Length 140 Pages
SKU # KBV18279473

Description

North America Data Lake Market Size, Share & Industry Trends Analysis Report By Component (Solution, and Services), By Enterprise Size, By Deployment Type (On-premise, and Cloud), By Vertical, By Country and Growth Forecast, 2023 - 2030


The North America Data Lake Market would witness market growth of 18.4% CAGR during the forecast period (2023-2030).

Data lake is a warehouse storing vast quantities of structured, semi-structured, and unstructured data. It is a repository for all data types in their native format, with no account capacity or file size restrictions. It provides large amounts of data to enhance analytical performance and native integration. Data lakes democratize data and are cost-effective for storing and processing an organization's data. In contrast to a structured data warehouse that stores data in files and directories, a data lake has a flat organizational structure. Each data element within a data lake is assigned a unique identifier and tagged with metadata information.

The primary purpose of constructing a these is to provide data scientists with an unfiltered view of data. These includes enterprise agility. Using artificial intelligence (AI) and machine learning (ML), it is possible to make profitable predictions. Digital information platforms generate an enormous quantity of information daily. Such an abundance of data necessitates efficient storage systems. Data lakes are systems used to store unstructured information. It is a central repository of large volumes of readily accessible information. The data in a data lake can be either unstructured data used by analysts and data scientists or structured data used extensively by the airline and automotive industries.

All organizations require a data lake because it enables the combination of disparate data repositories and the delivery of a data asset representation. In other words, a data lake provides data science with a framework that would be challenging to derive without a database. A data lake guarantees that all employees, regardless of position, can access information. In some organizations, only the highest-level managers may have the authority to collect all forms of data. However, with a data lake, all employees can access the necessary data regardless of their position.

According to the International Trade Administration (ITA), the Mexican Association of Online Sales data indicates that Mexico's e-commerce grew by 27% in 2021 compared to the previous year. Mexico has ranked among the top five nations with the most e-commerce growth over the past three years. According to the Mexican Internet Association, the country had approximately 89.5 million users by the end of 2021, representing 75.7% of the population over six. The growth of the e-commerce industry in Mexico, coupled with the increasing recognition of the value of data-driven decision-making, has led to heightened demand for data management and analytics solutions like data lakes. As e-commerce continues to evolve and expand in Mexico, the market will likely experience continued growth to support the needs of this thriving industry. These aspects will lead the market growth in this region.

The US market dominated the North America Data Lake Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $12,582.9 million by 2030. The Canada market is experiencing a CAGR of 21.1% during (2023 - 2030). Additionally, The Mexico market would exhibit a CAGR of 20% during (2023 - 2030).

Based on Component, the market is segmented into Solution, and Services. Based on Enterprise Size, the market is segmented into Large Enterprises, Small & Medium Enterprises. Based on Deployment Type, the market is segmented into On-premise, and Cloud. Based on Vertical, the market is segmented into IT, Media & Entertainment, Healthcare, BFSI, Manufacturing, Retail & Ecommerce, and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Amazon Web Services, Inc., Cloudera, Inc., Dremio Corporation, Informatica Inc., Microsoft Corporation, Oracle Corporation, SAS Institute Inc., Snowflake Inc., Teradata Corporation and Zaloni, Inc.

Scope of the Study

Market Segments covered in the Report:

By Component
  • Solution
  • Services
By Enterprise Size
  • Large Enterprises
  • Small & Medium Enterprises
By Deployment Type
  • On-premise
  • Cloud
By Vertical
  • IT
  • Media & Entertainment
  • Healthcare
  • BFSI
  • Manufacturing
  • Retail & Ecommerce
  • Others
By Country
  • US
  • Canada
  • Mexico
  • Rest of North America
Companies Profiled
  • Amazon Web Services, Inc
  • Cloudera, Inc.
  • Dremio Corporation
  • Informatica Inc.
  • Microsoft Corporation
  • Oracle Corporation
  • SAS Institute Inc.
  • Snowflake Inc.
  • Teradata Corporation
  • Zaloni, Inc.
Unique Offerings from KBV Research
  • Exhaustive coverage
  • Highest number of market tables and figures
  • Subscription based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

140 Pages
Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America Data Lake Market, by Component
1.4.2 North America Data Lake Market, by Enterprise Size
1.4.3 North America Data Lake Market, by Deployment Type
1.4.4 North America Data Lake Market, by Vertical
1.4.5 North America Data Lake Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Top Winning Strategies
4.3.1 Key Leading Strategies: Percentage Distribution (2019-2023)
4.3.2 Key Strategic Move: (Product Launches and Product Expansions : 2021, Oct – 2023, Sep) Leading Players
4.4 Porter Five Forces Analysis
Chapter 5. North America Data Lake Market, By Component
5.1 North America Solution Market, By Country
5.2 North America Services Market, By Country
Chapter 6. North America Data Lake Market, By Enterprise Size
6.1 North America Large Enterprises Market, By Country
6.2 North America Small & Medium Enterprises Market, By Country
Chapter 7. North America Data Lake Market, By Deployment Type
7.1 North America On-premise Market, By Country
7.2 North America Cloud Market, By Country
Chapter 8. North America Data Lake Market, By Vertical
8.1 North America IT Market, By Country
8.2 North America Media & Entertainment Market, By Country
8.3 North America Healthcare Market, By Country
8.4 North America BFSI Market, By Country
8.5 North America Manufacturing Market, By Country
8.6 North America Retail & Ecommerce Market, By Country
8.7 North America Others Market, By Country
Chapter 9. North America Data Lake Market, By Country
9.1 US Data Lake Market
9.1.1 US Data Lake Market, By Component
9.1.2 US Data Lake Market, By Enterprise Size
9.1.3 US Data Lake Market, By Deployment Type
9.1.4 US Data Lake Market, By Vertical
9.2 Canada Data Lake Market
9.2.1 Canada Data Lake Market, By Component
9.2.2 Canada Data Lake Market, By Enterprise Size
9.2.3 Canada Data Lake Market, By Deployment Type
9.2.4 Canada Data Lake Market, By Vertical
9.3 Mexico Data Lake Market
9.3.1 Mexico Data Lake Market, By Component
9.3.2 Mexico Data Lake Market, By Enterprise Size
9.3.3 Mexico Data Lake Market, By Deployment Type
9.3.4 Mexico Data Lake Market, By Vertical
9.4 Rest of North America Data Lake Market
9.4.1 Rest of North America Data Lake Market, By Component
9.4.2 Rest of North America Data Lake Market, By Enterprise Size
9.4.3 Rest of North America Data Lake Market, By Deployment Type
9.4.4 Rest of North America Data Lake Market, By Vertical
Chapter 10. Company Profiles
10.1 Amazon Web Services, Inc. (Amazon.com, Inc.)
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental Analysis
10.1.4 Recent strategies and developments:
10.1.4.1 Product Launches and Product Expansions:
10.1.5 SWOT Analysis
10.2 Dremio Corporation
10.2.1 Company Overview
10.2.2 Recent strategies and developments:
10.2.2.1 Partnerships, Collaborations, and Agreements:
10.2.2.2 Product Launches and Product Expansions:
10.2.3 SWOT Analysis
10.3 Cloudera, Inc.
10.3.1 Company Overview
10.3.2 Recent strategies and developments:
10.3.2.1 Partnerships, Collaborations, and Agreements:
10.3.2.2 Product Launches and Product Expansions:
10.3.3 SWOT Analysis
10.4 Informatica Inc.
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expenses
10.4.5 Recent strategies and developments:
10.4.5.1 Partnerships, Collaborations, and Agreements:
10.4.5.2 Product Launches and Product Expansions:
10.4.6 SWOT Analysis
10.5 Microsoft Corporation
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expenses
10.5.5 Recent strategies and developments:
10.5.5.1 Product Launches and Product Expansions:
10.5.5.2 Acquisition and Mergers:
10.5.6 SWOT Analysis
10.6 Oracle Corporation
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expense
10.6.5 Recent strategies and developments:
10.6.5.1 Product Launches and Product Expansions:
10.6.6 SWOT Analysis
10.7 SAS Institute, Inc.
10.7.1 Company Overview
10.7.2 SWOT Analysis
10.8 Snowflake, Inc.
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Regional Analysis
10.8.4 Research & Development Expenses
10.8.5 Recent strategies and developments:
10.8.5.1 Partnerships, Collaborations, and Agreements:
10.8.5.2 Product Launches and Product Expansions:
10.8.6 SWOT Analysis
10.9 Teradata Corporation
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental & Regional Analysis
10.9.4 Research & Development Expense
10.9.5 Recent strategies and developments:
10.9.5.1 Product Launches and Product Expansions:
10.9.6 SWOT Analysis
10.10. Zaloni, Inc (Truist Financial Corporation)
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 SWOT Analysis

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