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市場調査レポート
商品コード
1560953

データレイク市場レポート：コンポーネント、展開形態、組織規模、ビジネスファンクション、最終用途産業、地域別、2024年～2032年

Data Lakes Market Report by Component, Deployment Mode, Organization Size, Business Function, End Use Industry, and Region 2024-2032

出版日
発行
IMARC
ページ情報
英文 148 Pages
納期
2～3営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.06円
データレイク市場レポート：コンポーネント、展開形態、組織規模、ビジネスファンクション、最終用途産業、地域別、2024年～2032年
出版日: 2024年09月10日
発行: IMARC
ページ情報: 英文 148 Pages
納期: 2～3営業日
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  • 概要
  • 図表
  • 目次
概要

世界のデータレイクの市場規模は2023年に120億米ドルに達しました。今後、IMARC Groupは、2024年から2032年にかけて22.6％の成長率（CAGR）を示し、2032年までに788億米ドルに達すると予測しています。大量のデジタルデータの管理に関するビジネスの増加が市場を強化しています。

データレイクの市場分析：

  • 主な市場促進要因：デバイスをプロアクティブに保守し、情報に基づいた意思決定を行うニーズの高まりは、市場を強化する主要動向の1つです。
  • 主な市場動向：ヘルスケア産業における製品設計やゲノム研究のための広範なアプリケーションは、市場にプラスの影響を与える主要動向の一つです。
  • 競合情勢：世界市場の主要企業には、Amazon Web Services Inc.（Amazon.com Inc.）, Atos SE, Capgemini, Cloudera Inc., Dell Technologies Inc., Google LLC（Alphabet Inc.）, Hewlett Packard Enterprise Development LP, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc.
  • 地理的動向：顧客関係管理（CRM）プラットフォームとソーシャル・メディア・アナリティクスの広範な統合が北米市場を牽引しています。このほか、主要企業が運用コストの削減に注力するようになったことも、アジア太平洋市場を強化しています。一方、研究開発活動への大規模な投資は、予測期間中、欧州市場を引き続き活性化させると思われます。
  • 課題と機会：市場を阻害している限界の1つは、適切なガバナンスの欠如です。しかし、堅牢なデータ管理手法の導入は、今後数年間で市場を活性化させることが期待されます。

データレイクの市場動向：

AIとの統合の高まり

市場を強化する主な要因の1つは、AIとMLの統合が進んでいることであり、データからより深い洞察と予測分析を引き出すことができます。さらに、AIを搭載したデータレイクは、データの分類、異常検知、パターン認識を自動化することができます。DatabricksやIBMのような企業は、自社のデータレイク・ソリューションに統合されたAIとMLの機能を提供することで、この動向を主導しています。例えば、企業のデータパイプライン構築を支援するFivetran社は、2024年6月、最新製品であるFivetran Managed Data Lake Serviceの一般提供を発表しました。このサービスは、データレイクの管理を自動化・効率化することで、顧客の反復作業を取り除くことを目的としています。

データガバナンス重視の高まり

データガバナンスとセキュリティへの注目の高まりが市場を強化しています。企業は膨大な量の機密データを保存しているため、その機密性、完全性、規制要件へのコンプライアンスを確保することが最重要課題となっています。効果的なデータガバナンス・フレームワークは、メタデータ、データ品質、リネージの管理を支援し、データ資産の透明性とコントロールを実現します。例えば、2024年7月、フリンダース大学の研究チームは、公衆衛生監視と緊急時対応のために、統合されたAI主導の公衆衛生・臨床データリポジトリをオーストラリアに導入しました。

成長するマルチクラウド戦略

マルチクラウド戦略では通常、ベンダーロックインを回避し、冗長性を高めるために複数のクラウドプロバイダーを利用します。このアプローチはまた、特定のニーズに基づいてワークロードを分散し、多数のベンダーのベスト・オブ・ブリード・サービスを活用する敏捷性を組織に提供します。例えば、ある企業は高度なAI機能のためにGoogle Cloudを使用する一方で、データ分析ツールの広範なエコシステムのためにAWSに依存するかもしれないです。さらに、SnowflakeやClouderaなどのベンダーは、複数のクラウドやオンプレミスのインフラとシームレスに統合するプラットフォームを提供することで、こうした戦略を促進しています。

目次

第1章 序文

第2章 調査範囲と調査手法

  • 調査の目的
  • ステークホルダー
  • データソース
    • 一次情報
    • 二次情報
  • 市場推定
    • ボトムアップアプローチ
    • トップダウンアプローチ
  • 調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

  • 概要
  • 主要業界動向

第5章 世界のデータレイク市場

  • 市場概要
  • 市場実績
  • COVID-19の影響
  • 市場予測

第6章 市場内訳：コンポーネント別

  • ソリューション
    • 市場動向
    • 主要セグメント
      • データ検出
      • データの統合と管理
      • データレイク分析
      • データの視覚化
    • 市場予測
  • サービス
    • 市場動向
    • 主要セグメント
      • マネージドサービス
      • プロフェッショナルサービス
    • 市場予測

第7章 市場内訳：展開形態別

  • オンプレミス
    • 市場動向
    • 市場予測
  • クラウドベース
    • 市場動向
    • 市場予測

第8章 市場内訳：組織規模別

  • 中小企業
    • 市場動向
    • 市場予測
  • 大企業
    • 市場動向
    • 市場予測

第9章 市場内訳：ビジネスファンクション別

  • マーケティング
    • 市場動向
    • 市場予測
  • 販売
    • 市場動向
    • 市場予測
  • オペレーション
    • 市場動向
    • 市場予測
  • ファイナンス
    • 市場動向
    • 市場予測
  • 人事
    • 市場動向
    • 市場予測

第10章 市場内訳：最終用途産業別

  • BFSI
    • 市場動向
    • 市場予測
  • ITおよび通信
    • 市場動向
    • 市場予測
  • 小売業とeコマース
    • 市場動向
    • 市場予測
  • ヘルスケアとライフサイエンス
    • 市場動向
    • 市場予測
  • 製造
    • 市場動向
    • 市場予測
  • エネルギーと公共事業
    • 市場動向
    • 市場予測
  • メディアとエンターテイメント
    • 市場動向
    • 市場予測
  • 政府
    • 市場動向
    • 市場予測
  • その他
    • 市場動向
    • 市場予測

第11章 市場内訳：地域別

  • 北米
    • 米国
    • カナダ
  • アジア太平洋地域
    • 中国
    • 日本
    • インド
    • 韓国
    • オーストラリア
    • インドネシア
    • その他
  • 欧州
    • ドイツ
    • フランス
    • 英国
    • イタリア
    • スペイン
    • ロシア
    • その他
  • ラテンアメリカ
    • ブラジル
    • メキシコ
    • その他
  • 中東・アフリカ
    • 市場動向
    • 市場内訳：国別
    • 市場予測

第12章 SWOT分析

  • 概要
  • 強み
  • 弱み
  • 機会
  • 脅威

第13章 バリューチェーン分析

第14章 ポーターのファイブフォース分析

  • 概要
  • 買い手の交渉力
  • 供給企業の交渉力
  • 競合の程度
  • 新規参入業者の脅威
  • 代替品の脅威

第15章 価格分析

第16章 競合情勢

  • 市場構造
  • 主要企業
  • 主要企業のプロファイル
    • Amazon Web Services Inc.（Amazon.com Inc）
    • Atos SE
    • Capgemini
    • Cloudera Inc.
    • Dell Technologies Inc.
    • Google LLC（Alphabet Inc.）
    • Hewlett Packard Enterprise Development LP
    • International Business Machines Corporation
    • Microsoft Corporation
    • Oracle Corporation
    • SAP SE
    • SAS Institute Inc.
    • Snowflake Inc.
    • Tata Consultancy Services Limited
    • Teradata Corporation
図表

List of Figures

  • Figure 1: Global: Data Lakes Market: Major Drivers and Challenges
  • Figure 2: Global: Data Lakes Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Data Lakes Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Data Lakes Market: Breakup by Component (in %), 2023
  • Figure 5: Global: Data Lakes Market: Breakup by Deployment Mode (in %), 2023
  • Figure 6: Global: Data Lakes Market: Breakup by Organization Size (in %), 2023
  • Figure 7: Global: Data Lakes Market: Breakup by Business Function (in %), 2023
  • Figure 8: Global: Data Lakes Market: Breakup by End Use Industry (in %), 2023
  • Figure 9: Global: Data Lakes Market: Breakup by Region (in %), 2023
  • Figure 10: Global: Data Lakes (Solutions) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 11: Global: Data Lakes (Solutions) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 12: Global: Data Lakes (Services) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 13: Global: Data Lakes (Services) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 14: Global: Data Lakes (On-premises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 15: Global: Data Lakes (On-premises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 16: Global: Data Lakes (Cloud-based) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 17: Global: Data Lakes (Cloud-based) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 18: Global: Data Lakes (Small and Medium-sized Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 19: Global: Data Lakes (Small and Medium-sized Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 20: Global: Data Lakes (Large Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 21: Global: Data Lakes (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 22: Global: Data Lakes (Marketing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 23: Global: Data Lakes (Marketing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 24: Global: Data Lakes (Sales) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 25: Global: Data Lakes (Sales) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 26: Global: Data Lakes (Operations) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 27: Global: Data Lakes (Operations) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 28: Global: Data Lakes (Finance) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 29: Global: Data Lakes (Finance) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 30: Global: Data Lakes (Human Resources) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 31: Global: Data Lakes (Human Resources) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 32: Global: Data Lakes (BFSI) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 33: Global: Data Lakes (BFSI) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 34: Global: Data Lakes (IT and Telecom) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 35: Global: Data Lakes (IT and Telecom) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 36: Global: Data Lakes (Retail and E-Commerce) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 37: Global: Data Lakes (Retail and E-Commerce) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 38: Global: Data Lakes (Healthcare and Life Sciences) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 39: Global: Data Lakes (Healthcare and Life Sciences) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 40: Global: Data Lakes (Manufacturing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 41: Global: Data Lakes (Manufacturing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 42: Global: Data Lakes (Energy and Utilities) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 43: Global: Data Lakes (Energy and Utilities) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 44: Global: Data Lakes (Media and Entertainment) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 45: Global: Data Lakes (Media and Entertainment) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 46: Global: Data Lakes (Government) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 47: Global: Data Lakes (Government) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 48: Global: Data Lakes (Other End Use Industries) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 49: Global: Data Lakes (Other End Use Industries) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 50: North America: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 51: North America: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 52: United States: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 53: United States: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 54: Canada: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 55: Canada: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 56: Asia-Pacific: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 57: Asia-Pacific: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 58: China: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 59: China: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 60: Japan: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 61: Japan: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 62: India: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 63: India: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 64: South Korea: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 65: South Korea: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 66: Australia: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 67: Australia: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 68: Indonesia: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 69: Indonesia: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 70: Others: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 71: Others: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 72: Europe: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 73: Europe: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 74: Germany: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 75: Germany: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 76: France: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 77: France: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 78: United Kingdom: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 79: United Kingdom: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 80: Italy: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 81: Italy: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 82: Spain: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 83: Spain: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 84: Russia: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 85: Russia: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 86: Others: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 87: Others: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 88: Latin America: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 89: Latin America: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 90: Brazil: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 91: Brazil: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 92: Mexico: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 93: Mexico: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 94: Others: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 95: Others: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 96: Middle East and Africa: Data Lakes Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 97: Middle East and Africa: Data Lakes Market: Breakup by Country (in %), 2023
  • Figure 98: Middle East and Africa: Data Lakes Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 99: Global: Data Lakes Industry: SWOT Analysis
  • Figure 100: Global: Data Lakes Industry: Value Chain Analysis
  • Figure 101: Global: Data Lakes Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Data Lakes Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Data Lakes Market Forecast: Breakup by Component (in Million US$), 2024-2032
  • Table 3: Global: Data Lakes Market Forecast: Breakup by Deployment Mode (in Million US$), 2024-2032
  • Table 4: Global: Data Lakes Market Forecast: Breakup by Organization Size (in Million US$), 2024-2032
  • Table 5: Global: Data Lakes Market Forecast: Breakup by Business Function (in Million US$), 2024-2032
  • Table 6: Global: Data Lakes Market Forecast: Breakup by End Use Industry (in Million US$), 2024-2032
  • Table 7: Global: Data Lakes Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 8: Global: Data Lakes Market: Competitive Structure
  • Table 9: Global: Data Lakes Market: Key Players
目次
Product Code: SR112024A4564

The global data lakes market size reached US$ 12.0 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 78.8 Billion by 2032, exhibiting a growth rate (CAGR) of 22.6% during 2024-2032. The rising number of businesses concerning the management of large amounts of digital data is bolstering the market.

Data Lakes Market Analysis:

  • Major Market Drivers: The inflating need for proactively maintaining devices and making informed decisions is one of the key trends bolstering the market.
  • Key Market Trends: Extensive applications in the healthcare industry to design products and perform genomic research are among the primary trends positively influencing the market.
  • Competitive Landscape: Some of the prominent players in the global market include Amazon Web Services Inc. (Amazon.com Inc), Atos SE, Capgemini, Cloudera Inc., Dell Technologies Inc., Google LLC (Alphabet Inc.), Hewlett Packard Enterprise Development LP, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Snowflake Inc., Tata Consultancy Services Limited, and Teradata Corporation, among many others.
  • Geographical Trends: The widespread integration of customer relationship management (CRM) platforms with social media analytics is propelling the market in North America. Besides this, the rising focus of key players on reducing operational costs is also bolstering the market in Asia Pacific. On the other hand, extensive investments in R&D activities will continue to catalyze the market in Europe over the forecasted period.
  • Challenges and Opportunities: One of the limitations hindering the market is the lack of proper governance. However, the implementation of robust data management practices is expected to catalyze the market in the coming years.

Data Lakes Market Trends:

Rising Integration of AI

One of the key factors bolstering the market is the growing integration of AI and ML, which can extract deeper insights and predictive analytics from data. Moreover, AI-powered data lakes can automate data classification, anomaly detection, and pattern recognition. Companies like Databricks and IBM are leading this trend by offering AI and ML capabilities integrated with their data lake solutions. For instance, in June 2024, Fivetran, a company that helps enterprises build their data pipelines, announced the general availability of its newest product, the Fivetran Managed Data Lake Service, which aims to remove the repetitive work of managing data lakes by automating and streamlining it for clients.

Increasing Emphasis on Data Governance

The growing focus on data governance and security is bolstering the market. As organizations store vast amounts of sensitive data, thereby ensuring its confidentiality, integrity, and compliance with regulatory requirements becomes paramount. Effective data governance frameworks help manage metadata, data quality, and lineage, thereby providing transparency and control over data assets. For instance, in July 2024, a research team at Flinders University introduced an integrated and AI-driven public health and clinical data repository in Australia for public health surveillance and emergency response.

Growing Multi-cloud Strategies

Multi-cloud strategies usually involve using multiple cloud providers to avoid vendor lock-in and enhance redundancy. This approach also provides organizations with the agility to distribute workloads based on specific needs and leverage best-of-breed services from numerous vendors. For example, a company might use Google Cloud for its advanced AI capabilities while relying on AWS for its extensive ecosystem of data analytics tools. Moreover, vendors like Snowflake and Cloudera are facilitating these strategies by offering platforms that seamlessly integrate with several cloud and on-premises infrastructures.

Global Data Lakes Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with the data lakes market forecast at the global, regional, and country levels for 2024-2032. Our report has categorized the market based on the component, deployment mode, organization size, business function, and end use industry.

Breakup by Component:

  • Solutions
    • Data Discovery
    • Data Integration and Management
    • Data Lake Analytics
    • Data Visualization
  • Services
    • Managed Services
    • Professional Services

The report has provided a detailed breakup and analysis of the market based on the component. This includes solutions (data discovery, data integration and management, data lake analytics, and data visualization) and services (managed services and professional services).

The solutions segment includes key areas such as data discovery, data integration and management, data lake analytics, and data visualization. Data discovery tools help organizations identify and understand their data assets, while data integration and management solutions streamline the process of consolidating disparate data sources. Data lake analytics enable the processing and analysis of large datasets to extract valuable insights, and data visualization tools facilitate the representation of data in graphical formats for better comprehension and decision-making. The services segment is divided into managed services and professional services. Managed services offer ongoing support and maintenance of data lake infrastructure, ensuring optimal performance and reliability. Professional services provide specialized expertise, including consulting, implementation, and training, to help organizations effectively deploy and utilize data lake solutions. This detailed segmentation underscores the diverse range of components driving the data lakes market and their critical roles in enabling data-driven business strategies.

Breakup by Deployment Mode:

  • On-premises
  • Cloud-based

The report has provided a detailed breakup and analysis of the market based on the deployment mode. This includes on-premises and cloud-based.

On-premises data lakes involve deploying the infrastructure within an organization's own data centers, providing complete control over data security, customization, and compliance with internal policies. Industries particularly favor this mode with stringent regulatory requirements, such as finance and healthcare. Conversely, cloud-based data lakes, hosted on platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, offer scalability, flexibility, and cost-efficiency. They enable organizations to handle massive data volumes without significant upfront investment in physical infrastructure.

Breakup by Organization Size:

  • Small and Medium-sized Enterprises
  • Large Enterprises

The report has provided a detailed breakup and analysis of the market based on the organization size. This includes small and medium-sized enterprises and large enterprises.

For SMEs, data lakes offer a cost-effective solution to manage and analyze large datasets, helping these organizations gain insights without the need for extensive IT infrastructure. Solutions tailored for SMEs typically emphasize ease of use, scalability, and integration with existing systems to support their growth and innovation needs. On the other hand, large enterprises benefit from data lakes' ability to handle vast amounts of data from diverse sources, facilitating complex analytics, machine learning, and real-time data processing. These enterprises often require advanced features like robust security, compliance, and customization to meet their extensive operational demands. By segmenting the market based on organization size, the report highlights the distinct needs and advantages of data lakes for both SMEs and large enterprises, reflecting their critical role in enhancing data-driven decision-making across different business scales.

Breakup by Business Function:

  • Marketing
  • Sales
  • Operations
  • Finance
  • Human Resources

The report has provided a detailed breakup and analysis of the market based on the business function. This includes marketing, sales, operations, finance, and human resources.

In marketing, data lakes facilitate comprehensive customer insights, enabling targeted campaigns and personalized customer experiences through the integration of vast amounts of behavioral and demographic data. For sales, data lakes enhance performance tracking, forecasting, and customer relationship management by consolidating data from various touchpoints. In operations, data lakes improve efficiency and decision-making by providing real-time analytics and process optimization insights. The finance function benefits from data lakes by gaining accurate financial reporting, risk management, and fraud detection capabilities through the aggregation and analysis of transactional and historical data. In human resources, data lakes support talent management, employee engagement, and workforce analytics by integrating data from recruitment, performance evaluations, and employee feedback. By segmenting the market based on business function, the report underscores the versatile applications of data lakes in driving strategic decisions and operational excellence across different organizational domains.

Breakup by End Use Industry:

  • BFSI
  • IT and Telecom
  • Retail and E-Commerce
  • Healthcare and Life Sciences
  • Manufacturing
  • Energy and Utilities
  • Media and Entertainment
  • Government
  • Others

The report has provided a detailed breakup and analysis of the market based on the end use industry. This includes BFSI, IT and telecom, retail and e-commerce, healthcare and life sciences, manufacturing, energy and utilities, media and entertainment, government, and others.

In the BFSI sector, data lakes enable enhanced fraud detection, risk management, and customer analytics by consolidating vast amounts of transactional data. The IT and telecom industry leverages data lakes for network optimization, customer service improvements, and big data analytics. Retail and e-commerce businesses use data lakes to gain insights into customer behavior, inventory management, and personalized marketing. In healthcare and life sciences, data lakes support clinical data analysis, patient care optimization, and research. The manufacturing sector benefits from improved supply chain management, predictive maintenance, and quality control. Energy and utilities companies use data lakes for operational efficiency, predictive maintenance, and energy consumption analysis. Media and entertainment industries utilize data lakes for audience analytics, content personalization, and trend analysis. Government agencies adopt data lakes for improved public service delivery, policy-making, and data transparency. This is expanding the data lakes market share.

Breakup by Region:

  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa.

North America, particularly the United States, leads the market due to its advanced technological infrastructure, high adoption rates of big data solutions, and the presence of major technology firms like AWS, Microsoft, and Google. The Asia Pacific region is experiencing rapid market expansion driven by increasing digital transformation initiatives, a burgeoning IT sector, and significant investments in data analytics across countries like China, India, and Japan. Europe follows closely, with a strong emphasis on data privacy and regulatory compliance, which fuels the demand for sophisticated data management solutions. In Latin America, growing awareness of the benefits of big data and rising investments in technology infrastructure are propelling market growth, particularly in countries like Brazil and Mexico. The Middle East and Africa region, although at an earlier stage of adoption, is witnessing increasing interest in data lakes due to emerging smart city projects, digital initiatives, and investments in IT infrastructure.

Competitive Landscape:

The market research report has provided a comprehensive analysis of the competitive landscape. Detailed profiles of all major market companies have also been provided. Some of the key players in the market include:

  • Amazon Web Services Inc. (Amazon.com Inc)
  • Atos SE
  • Capgemini
  • Cloudera Inc.
  • Dell Technologies Inc.
  • Google LLC (Alphabet Inc.)
  • Hewlett Packard Enterprise Development LP
  • International Business Machines Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • SAS Institute Inc.
  • Snowflake Inc.
  • Tata Consultancy Services Limited
  • Teradata Corporation

(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)

Data Lakes Market Recent Developments:

  • July 2024: A research team at Flinders University introduced an integrated and AI-driven public health and clinical data repository in Australia for public health surveillance and emergency response.
  • June 2024: Fivetran, a company that helps enterprises build their data pipelines, announced the general availability of its newest product, the Fivetran Managed Data Lake Service, which aims to remove the repetitive work of managing data lakes by automating and streamlining it for clients.
  • February 2024: The Huawei Product and Solution launched three innovative solutions aimed at helping carriers worldwide build leading data infrastructure.

Key Questions Answered in This Report:

  • How has the global data lakes market performed so far, and how will it perform in the coming years?
  • What has been the impact of COVID-19 on the global data lakes market?
  • What are the key regional markets?
  • What is the breakup of the market based on the component?
  • What is the breakup of the market based on the deployment mode?
  • What is the breakup of the market based on the organization size?
  • What is the breakup of the market based on the business function?
  • What is the breakup of the market based on the end use industry?
  • What are the various stages in the value chain of the industry?
  • What are the key driving factors and challenges in the industry?
  • What is the structure of the global data lakes market, and who are the key players?
  • What is the degree of competition in the industry?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Data Lakes Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Component

  • 6.1 Solutions
    • 6.1.1 Market Trends
    • 6.1.2 Key Segments
      • 6.1.2.1 Data Discovery
      • 6.1.2.2 Data Integration and Management
      • 6.1.2.3 Data Lake Analytics
      • 6.1.2.4 Data Visualization
    • 6.1.3 Market Forecast
  • 6.2 Services
    • 6.2.1 Market Trends
    • 6.2.2 Key Segments
      • 6.2.2.1 Managed Services
      • 6.2.2.2 Professional Services
    • 6.2.3 Market Forecast

7 Market Breakup by Deployment Mode

  • 7.1 On-premises
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Cloud-based
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Organization Size

  • 8.1 Small and Medium-sized Enterprises
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Large Enterprises
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast

9 Market Breakup by Business Function

  • 9.1 Marketing
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Sales
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Operations
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Finance
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 Human Resources
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast

10 Market Breakup by End Use Industry

  • 10.1 BFSI
    • 10.1.1 Market Trends
    • 10.1.2 Market Forecast
  • 10.2 IT and Telecom
    • 10.2.1 Market Trends
    • 10.2.2 Market Forecast
  • 10.3 Retail and E-Commerce
    • 10.3.1 Market Trends
    • 10.3.2 Market Forecast
  • 10.4 Healthcare and Life Sciences
    • 10.4.1 Market Trends
    • 10.4.2 Market Forecast
  • 10.5 Manufacturing
    • 10.5.1 Market Trends
    • 10.5.2 Market Forecast
  • 10.6 Energy and Utilities
    • 10.6.1 Market Trends
    • 10.6.2 Market Forecast
  • 10.7 Media and Entertainment
    • 10.7.1 Market Trends
    • 10.7.2 Market Forecast
  • 10.8 Government
    • 10.8.1 Market Trends
    • 10.8.2 Market Forecast
  • 10.9 Others
    • 10.9.1 Market Trends
    • 10.9.2 Market Forecast

11 Market Breakup by Region

  • 11.1 North America
    • 11.1.1 United States
      • 11.1.1.1 Market Trends
      • 11.1.1.2 Market Forecast
    • 11.1.2 Canada
      • 11.1.2.1 Market Trends
      • 11.1.2.2 Market Forecast
  • 11.2 Asia-Pacific
    • 11.2.1 China
      • 11.2.1.1 Market Trends
      • 11.2.1.2 Market Forecast
    • 11.2.2 Japan
      • 11.2.2.1 Market Trends
      • 11.2.2.2 Market Forecast
    • 11.2.3 India
      • 11.2.3.1 Market Trends
      • 11.2.3.2 Market Forecast
    • 11.2.4 South Korea
      • 11.2.4.1 Market Trends
      • 11.2.4.2 Market Forecast
    • 11.2.5 Australia
      • 11.2.5.1 Market Trends
      • 11.2.5.2 Market Forecast
    • 11.2.6 Indonesia
      • 11.2.6.1 Market Trends
      • 11.2.6.2 Market Forecast
    • 11.2.7 Others
      • 11.2.7.1 Market Trends
      • 11.2.7.2 Market Forecast
  • 11.3 Europe
    • 11.3.1 Germany
      • 11.3.1.1 Market Trends
      • 11.3.1.2 Market Forecast
    • 11.3.2 France
      • 11.3.2.1 Market Trends
      • 11.3.2.2 Market Forecast
    • 11.3.3 United Kingdom
      • 11.3.3.1 Market Trends
      • 11.3.3.2 Market Forecast
    • 11.3.4 Italy
      • 11.3.4.1 Market Trends
      • 11.3.4.2 Market Forecast
    • 11.3.5 Spain
      • 11.3.5.1 Market Trends
      • 11.3.5.2 Market Forecast
    • 11.3.6 Russia
      • 11.3.6.1 Market Trends
      • 11.3.6.2 Market Forecast
    • 11.3.7 Others
      • 11.3.7.1 Market Trends
      • 11.3.7.2 Market Forecast
  • 11.4 Latin America
    • 11.4.1 Brazil
      • 11.4.1.1 Market Trends
      • 11.4.1.2 Market Forecast
    • 11.4.2 Mexico
      • 11.4.2.1 Market Trends
      • 11.4.2.2 Market Forecast
    • 11.4.3 Others
      • 11.4.3.1 Market Trends
      • 11.4.3.2 Market Forecast
  • 11.5 Middle East and Africa
    • 11.5.1 Market Trends
    • 11.5.2 Market Breakup by Country
    • 11.5.3 Market Forecast

12 SWOT Analysis

  • 12.1 Overview
  • 12.2 Strengths
  • 12.3 Weaknesses
  • 12.4 Opportunities
  • 12.5 Threats

13 Value Chain Analysis

14 Porters Five Forces Analysis

  • 14.1 Overview
  • 14.2 Bargaining Power of Buyers
  • 14.3 Bargaining Power of Suppliers
  • 14.4 Degree of Competition
  • 14.5 Threat of New Entrants
  • 14.6 Threat of Substitutes

15 Price Analysis

16 Competitive Landscape

  • 16.1 Market Structure
  • 16.2 Key Players
  • 16.3 Profiles of Key Players
    • 16.3.1 Amazon Web Services Inc. (Amazon.com Inc)
      • 16.3.1.1 Company Overview
      • 16.3.1.2 Product Portfolio
      • 16.3.1.3 SWOT Analysis
    • 16.3.2 Atos SE
      • 16.3.2.1 Company Overview
      • 16.3.2.2 Product Portfolio
      • 16.3.2.3 Financials
      • 16.3.2.4 SWOT Analysis
    • 16.3.3 Capgemini
      • 16.3.3.1 Company Overview
      • 16.3.3.2 Product Portfolio
      • 16.3.3.3 Financials
      • 16.3.3.4 SWOT Analysis
    • 16.3.4 Cloudera Inc.
      • 16.3.4.1 Company Overview
      • 16.3.4.2 Product Portfolio
      • 16.3.4.3 Financials
    • 16.3.5 Dell Technologies Inc.
      • 16.3.5.1 Company Overview
      • 16.3.5.2 Product Portfolio
      • 16.3.5.3 Financials
      • 16.3.5.4 SWOT Analysis
    • 16.3.6 Google LLC (Alphabet Inc.)
      • 16.3.6.1 Company Overview
      • 16.3.6.2 Product Portfolio
      • 16.3.6.3 SWOT Analysis
    • 16.3.7 Hewlett Packard Enterprise Development LP
      • 16.3.7.1 Company Overview
      • 16.3.7.2 Product Portfolio
      • 16.3.7.3 Financials
      • 16.3.7.4 SWOT Analysis
    • 16.3.8 International Business Machines Corporation
      • 16.3.8.1 Company Overview
      • 16.3.8.2 Product Portfolio
      • 16.3.8.3 Financials
      • 16.3.8.4 SWOT Analysis
    • 16.3.9 Microsoft Corporation
      • 16.3.9.1 Company Overview
      • 16.3.9.2 Product Portfolio
      • 16.3.9.3 Financials
      • 16.3.9.4 SWOT Analysis
    • 16.3.10 Oracle Corporation
      • 16.3.10.1 Company Overview
      • 16.3.10.2 Product Portfolio
      • 16.3.10.3 Financials
      • 16.3.10.4 SWOT Analysis
    • 16.3.11 SAP SE
      • 16.3.11.1 Company Overview
      • 16.3.11.2 Product Portfolio
      • 16.3.11.3 Financials
      • 16.3.11.4 SWOT Analysis
    • 16.3.12 SAS Institute Inc.
      • 16.3.12.1 Company Overview
      • 16.3.12.2 Product Portfolio
      • 16.3.12.3 SWOT Analysis
    • 16.3.13 Snowflake Inc.
      • 16.3.13.1 Company Overview
      • 16.3.13.2 Product Portfolio
      • 16.3.13.3 Financials
    • 16.3.14 Tata Consultancy Services Limited
      • 16.3.14.1 Company Overview
      • 16.3.14.2 Product Portfolio
      • 16.3.14.3 Financials
      • 16.3.14.4 SWOT Analysis
    • 16.3.15 Teradata Corporation
      • 16.3.15.1 Company Overview
      • 16.3.15.2 Product Portfolio
      • 16.3.15.3 Financials
      • 16.3.15.4 SWOT Analysis