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巨量資料市場－全球產業規模、佔有率、趨勢、機會、預測：硬體、服務、終端用戶、區域及競爭格局（2021-2031年）

Big Data Market - Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented By Hardware, By Service, By End-User, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球巨量資料市場預計將經歷顯著成長，從 2025 年的 2,849.6 億美元成長到 2031 年的 5,636.7 億美元，複合年成長率為 12.04%。

巨量資料是指規模龐大、速度極快、種類繁多的廣泛而複雜的資訊資產，需要先進的處理方法才能獲得更深刻的洞察和更明智的決策。這一市場擴張的主要驅動力是物聯網 (IoT) 和各種數位互動產生的數據量快速成長，從而催生了對強大分析能力的需求，以支援策略性產業計畫。此外，可擴展雲端運算基礎架構的普及顯著降低了准入門檻，使企業能夠以經濟高效的方式儲存和處理大規模資料集。這構成了支撐該領域持續發展的重要支柱。

市場概覽
預測期 2027-2031
市場規模：2025年 2849.6億美元
市場規模：2031年 5636.7億美元
複合年成長率：2026-2031年 12.04%
成長最快的細分市場 諮詢
最大的市場 北美洲

儘管發展勢頭強勁，但市場仍面臨一個重大障礙：能夠管理和解讀這些複雜資料架構的專業人才嚴重短缺。這種人才短缺限制了企業從其資訊資產中挖掘實際價值的能力。 CompTIA 的報告強調了這個問題，並預測到 2024 年，資料科學和資料分析師的職位將成長 5.5%。這項數據凸顯了目前對專業技術人才的龐大需求，而現有勞動力卻遠遠無法滿足這項需求。

市場促進因素

向雲端分析和儲存解決方案的廣泛轉型是全球巨量資料市場發展的重要驅動力。企業正優先考慮擴充性、柔軟性且經濟高效的雲端架構，加速淘汰傳統的本地資料中心。這種轉型使企業能夠部署分析工具並管理不斷成長的資料集，而無需承擔巨額的基礎設施成本。 Alphabet 於 2025 年 10 月發布的 2025 年第三季財報印證了這一趨勢，報告顯示 Google Cloud 的營收年增 34% 至 152 億美元，顯示企業在雲端託管資料基礎設施和服務方面的支出持續成長。

同時，人工智慧 (AI) 和機器學習 (ML) 的融合正推動市場朝向更高階的預測能力發展。各組織機構正在利用這些技術實現複雜分析的自動化，將原始的、非結構化的輸入轉化為可操作的策略洞察，從而提升風險管理和營運效率。這種技術融合催生了對訓練大規模語言模型所需的高效能運算資源的巨大需求。例如， Oracle於 2025 年 9 月發布的第一季財報指出，大規模的以 AI 為中心的容量合約使剩餘履約義務總額增加了 359%，達到 4,550 億美元。此外，亞馬遜於 2025 年 10 月發布的 2025 會計年度第三季公佈財報強調，AWS 業務部門的營收達到 330 億美元，展現了現代數據生態系統強大的商業規模。

市場挑戰

能夠管理和解讀複雜資料架構的專業人才嚴重短缺，仍是全球巨量資料市場擴張的一大障礙。儘管基礎設施方面的障礙有所減少，但營運海量資訊資產所需的人力資本仍不足。這種人才缺口造成了嚴重的瓶頸，阻礙了企業將原始數據轉化為可執行的商業智慧。缺乏精通高階分析技術和數據工程的人才意味著企業面臨計劃延期、營運風險增加以及難以最大化數位投資回報等挑戰。因此，專業知識的匱乏限制了市場潛力，而複雜的資料策略往往因為缺乏合格的執行人員而被放棄或縮減規模。

資料能力需求的爆炸性成長與人才供應的有限性之間的不平衡，導致成本上升和資源競爭加劇。根據 CompTIA 預測，到 2025 年，技術專業的年薪中位數將達到 112,667 美元，比所有職業的全國平均薪資高出 127%。如此巨大的薪資差距凸顯了人才短缺的嚴重性，迫使企業支付高額薪資來獲取稀缺的技術專長。對於許多公司，尤其是中小企業而言，這種財務負擔阻礙了其建立強大的數據團隊，並直接減緩了市場的整體成長勢頭。

市場趨勢

向邊緣運算的轉變正在從根本上重塑市場格局，它將資料處理活動部署在更靠近資訊來源（例如工業感測器和自動駕駛系統）的位置。這一趨勢解決了集中式雲端模式的延遲和頻寬限制問題，並為時間敏感型應用提供了即時分析能力。透過在本地處理訊息，企業可以減少對持續連接的依賴，並加快分散式環境中的決策流程。這種對本地處理能力的需求在汽車產業尤其明顯。正如高通公司2024年11月發布的財報《2024年第四季及全年業績》所示，汽車業務營收年增68%至8.99億美元，這反映出其對邊緣連接技術的投資不斷增加。

同時，透過資料湖和資料倉儲的整合，統一資料湖屋架構的普及化正在簡化企業儲存和利用各種資訊資產的方式。這種架構演進消除了以往結構化業務資料和非結構化原始資料分離的營運孤島，為所有分析工作負載創建了一個統一的儲存庫。整合這些環境使企業能夠在同一資料集上運行商業智慧和高級工程任務，而無需冗餘的資料移動或複雜的整合管道。根據 Snowflake 於 2024 年 8 月發布的 2025 會計年度第二季財報，其產品收入年增 30% 至 8.293 億美元，這證實了企業正在迅速採用能夠整合分散數據生態系統的平台。

目錄

第1章概述

第2章：調查方法

第3章執行摘要

第4章：客戶心聲

第5章：全球巨量資料市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 依硬體類型（儲存設備、伺服器、網路設備）
    • 按服務類型（諮詢、維護、培訓和開發）
    • 依最終用戶（銀行/金融/保險、製造業、零售業、遊戲業、通訊業）分類
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美巨量資料市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國別分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲巨量資料市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國別分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區巨量資料市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國別分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東和非洲巨量資料市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東與非洲：國別分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲巨量資料市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國別分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進因素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 近期趨勢

第13章：全球巨量資料市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商的議價能力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • Oracle Corporation
  • Microsoft Corporation
  • SAP SE
  • IBM Corporation
  • SAS Institute Inc.
  • Salesforce, Inc.
  • Teradata Corporation
  • Google LLC
  • Accenture PLC
  • Informatica LLC

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 24874

The Global Big Data Market is projected to experience substantial growth, expanding from USD 284.96 Billion in 2025 to USD 563.67 Billion by 2031, representing a CAGR of 12.04%. Big Data encompasses vast and intricate information assets defined by their high volume, velocity, and variety, which necessitate advanced processing methods to facilitate superior insights and decision-making. This market expansion is primarily driven by the exponential rise in data generated through the Internet of Things (IoT) and various digital interactions, creating a need for powerful analytical capabilities to support strategic business planning. Additionally, the widespread acceptance of scalable cloud computing infrastructure has significantly reduced entry barriers, enabling organizations to store and process massive datasets cost-effectively, acting as a foundational pillar for the sector's ongoing development.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 284.96 Billion
Market Size 2031USD 563.67 Billion
CAGR 2026-203112.04%
Fastest Growing SegmentConsulting
Largest MarketNorth America

Despite this momentum, the market faces a considerable obstacle due to an acute shortage of skilled professionals equipped to manage and interpret these complex data architectures. This gap in available talent restricts the ability of enterprises to derive actionable value from their information reserves. Highlighting this issue, CompTIA reported that positions in the data science and data analyst categories were expected to grow by 5.5% in 2024, a statistic that emphasizes the intense demand for specialized technical expertise that currently exceeds the available workforce supply.

Market Driver

The widespread transition toward cloud-based analytics and storage solutions serves as a fundamental catalyst for the Global Big Data Market. Enterprises are increasingly retiring legacy on-premise data centers in favor of scalable cloud architectures that provide enhanced flexibility and cost-efficiency. This shift allows businesses to implement analytics tools without incurring prohibitive infrastructure costs, facilitating the management of growing datasets. Evidence of this trend is found in Alphabet's 'Third Quarter 2025 Results' from October 2025, which reported a 34% year-over-year increase in Google Cloud revenue to $15.2 billion, illustrating the sustained acceleration of enterprise spending on cloud-hosted data infrastructure and services.

Concurrently, the integration of Artificial Intelligence and Machine Learning is driving the market toward advanced predictive capabilities. Organizations are utilizing these technologies to automate intricate analyses, transforming raw unstructured inputs into actionable strategic insights for risk management and operational efficiency. This technological convergence has sparked a massive demand for high-performance computing resources required to train large language models. For instance, Oracle's 'Fiscal Year 2026 First Quarter Financial Results' from September 2025 noted a 359% surge in total Remaining Performance Obligations to $455 billion, attributed to significant contracts for AI-centric capacity. Furthermore, Amazon's 'Q3 2025 Earnings Release' in October 2025 highlighted that AWS segment sales reached $33 billion, underscoring the robust commercial scale of modern data ecosystems.

Market Challenge

The critical shortage of skilled professionals capable of managing and interpreting complex data architectures remains a significant barrier to the Global Big Data Market's expansion. Although infrastructure barriers have diminished, the human capital needed to operationalize vast information assets remains inadequate. This talent gap creates a major bottleneck, as organizations struggle to convert raw data into actionable business intelligence. Without a workforce proficient in advanced analytics and data engineering, enterprises encounter delayed project timelines, increased operational risks, and an inability to maximize the return on their digital investments. Consequently, the scarcity of expertise caps the market's potential, as sophisticated data strategies are often abandoned or scaled back due to a lack of qualified personnel to execute them.

The imbalance between the explosive demand for data capabilities and the limited supply of talent is driving up costs and intensifying competition for resources. According to CompTIA, the median annual wage for technology professionals in 2025 reached an estimated $112,667, representing a 127% premium over the national median wage for all occupations. This substantial wage disparity highlights the severity of the workforce deficit, compelling companies to pay a premium to secure scarce technical expertise. For many businesses, particularly smaller enterprises, this financial burden impedes the ability to build robust data teams, directly stalling the broader market's growth momentum.

Market Trends

The shift toward edge computing is fundamentally reshaping the market by relocating data processing activities closer to the source of information generation, such as industrial sensors and autonomous systems. This trend addresses the latency and bandwidth limitations associated with centralized cloud models, enabling real-time analytics for time-sensitive applications. By processing information locally, enterprises reduce reliance on continuous connectivity and accelerate decision-making processes in distributed environments. This demand for localized processing capacity is particularly evident in the automotive sector, as demonstrated by Qualcomm's 'Fourth Quarter and Fiscal 2024 Results' from November 2024, where automotive segment revenue grew 68% year-over-year to $899 million, reflecting escalating investment in edge-connected technologies.

Simultaneously, the convergence of data lakes and data warehouses into unified data lakehouse architectures is streamlining how organizations store and utilize diverse information assets. This architectural evolution removes the operational silos that traditionally separated structured business data from unstructured raw inputs, creating a single, consistent repository for all analytical workloads. By merging these environments, businesses can execute business intelligence and advanced engineering tasks on the same dataset without the need for redundant data movement or complex integration pipelines. According to Snowflake's 'Fiscal 2025 Q2 Earnings Release' in August 2024, product revenue reached $829.3 million, a 30% increase year-over-year, underscoring the rapid enterprise adoption of integrated platforms designed to consolidate fragmented data ecosystems.

Key Market Players

  • Oracle Corporation
  • Microsoft Corporation
  • SAP SE
  • IBM Corporation
  • SAS Institute Inc.
  • Salesforce, Inc.
  • Teradata Corporation
  • Google LLC
  • Accenture PLC
  • Informatica LLC

Report Scope

In this report, the Global Big Data Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Big Data Market, By Hardware

  • Storage
  • Server
  • Network Equipment

Big Data Market, By Service

  • Consulting
  • Maintenance
  • Training & Development

Big Data Market, By End-User

  • BFSI
  • Manufacturing
  • Retail
  • Gaming
  • Telecom

Big Data Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Big Data Market.

Available Customizations:

Global Big Data Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Big Data Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Hardware (Storage, Server, Network Equipment)
    • 5.2.2. By Service (Consulting, Maintenance, Training & Development)
    • 5.2.3. By End-User (BFSI, Manufacturing, Retail, Gaming, Telecom)
    • 5.2.4. By Region
    • 5.2.5. By Company (2025)
  • 5.3. Market Map

6. North America Big Data Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Hardware
    • 6.2.2. By Service
    • 6.2.3. By End-User
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Big Data Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Hardware
        • 6.3.1.2.2. By Service
        • 6.3.1.2.3. By End-User
    • 6.3.2. Canada Big Data Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Hardware
        • 6.3.2.2.2. By Service
        • 6.3.2.2.3. By End-User
    • 6.3.3. Mexico Big Data Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Hardware
        • 6.3.3.2.2. By Service
        • 6.3.3.2.3. By End-User

7. Europe Big Data Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Hardware
    • 7.2.2. By Service
    • 7.2.3. By End-User
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Big Data Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Hardware
        • 7.3.1.2.2. By Service
        • 7.3.1.2.3. By End-User
    • 7.3.2. France Big Data Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Hardware
        • 7.3.2.2.2. By Service
        • 7.3.2.2.3. By End-User
    • 7.3.3. United Kingdom Big Data Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Hardware
        • 7.3.3.2.2. By Service
        • 7.3.3.2.3. By End-User
    • 7.3.4. Italy Big Data Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Hardware
        • 7.3.4.2.2. By Service
        • 7.3.4.2.3. By End-User
    • 7.3.5. Spain Big Data Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Hardware
        • 7.3.5.2.2. By Service
        • 7.3.5.2.3. By End-User

8. Asia Pacific Big Data Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Hardware
    • 8.2.2. By Service
    • 8.2.3. By End-User
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Big Data Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Hardware
        • 8.3.1.2.2. By Service
        • 8.3.1.2.3. By End-User
    • 8.3.2. India Big Data Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Hardware
        • 8.3.2.2.2. By Service
        • 8.3.2.2.3. By End-User
    • 8.3.3. Japan Big Data Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Hardware
        • 8.3.3.2.2. By Service
        • 8.3.3.2.3. By End-User
    • 8.3.4. South Korea Big Data Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Hardware
        • 8.3.4.2.2. By Service
        • 8.3.4.2.3. By End-User
    • 8.3.5. Australia Big Data Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Hardware
        • 8.3.5.2.2. By Service
        • 8.3.5.2.3. By End-User

9. Middle East & Africa Big Data Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Hardware
    • 9.2.2. By Service
    • 9.2.3. By End-User
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Big Data Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Hardware
        • 9.3.1.2.2. By Service
        • 9.3.1.2.3. By End-User
    • 9.3.2. UAE Big Data Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Hardware
        • 9.3.2.2.2. By Service
        • 9.3.2.2.3. By End-User
    • 9.3.3. South Africa Big Data Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Hardware
        • 9.3.3.2.2. By Service
        • 9.3.3.2.3. By End-User

10. South America Big Data Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Hardware
    • 10.2.2. By Service
    • 10.2.3. By End-User
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Big Data Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Hardware
        • 10.3.1.2.2. By Service
        • 10.3.1.2.3. By End-User
    • 10.3.2. Colombia Big Data Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Hardware
        • 10.3.2.2.2. By Service
        • 10.3.2.2.3. By End-User
    • 10.3.3. Argentina Big Data Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Hardware
        • 10.3.3.2.2. By Service
        • 10.3.3.2.3. By End-User

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Big Data Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Oracle Corporation
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. Microsoft Corporation
  • 15.3. SAP SE
  • 15.4. IBM Corporation
  • 15.5. SAS Institute Inc.
  • 15.6. Salesforce, Inc.
  • 15.7. Teradata Corporation
  • 15.8. Google LLC
  • 15.9. Accenture PLC
  • 15.10. Informatica LLC

16. Strategic Recommendations

17. About Us & Disclaimer