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市场调查报告书
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1961195

企业资料仓储市场 - 全球产业规模、份额、趋势、机会、预测：按组件、部署、产业、地区和竞争对手划分，2021-2031 年

Enterprise Data Warehouse Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Deployment, By Industry Vertical, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3个工作天内

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简介目录

全球企业资料仓储市场预计将从 2025 年的 250.7 亿美元快速成长到 2031 年的 869.4 亿美元，复合年增长率达到 23.03%。

企业资料仓储作为中央枢纽，整合来自各种来源的结构化和非结构化数据，从而支援策略决策和分析报告。这一市场成长的主要驱动力是企业内部数据量的爆炸性增长以及对即时分析以驱动商业智慧的需求。此外，向云端基础架构的转型也发挥了重要的催化作用，与传统的本地部署系统相比，云端基础架构为企业提供了更高的成本效益和扩充性。

市场概览
预测期 2027-2031
市场规模：2025年 250.7亿美元
市场规模：2031年 869.4亿美元
复合年增长率：2026-2031年 23.03%
成长最快的细分市场 云
最大的市场 北美洲

然而，数据管治的难度和严格的监管合规要求阻碍了市场成长。应对错综复杂的全球隐私法律体系往往会导致企业采用新技术的进程延迟，并增加营运成本。 ISACA在2024年发布的报告显示，只有34%的企业认为理解和管理其隐私义务是容易的。这一数字凸显了企业在维护合规资料环境方面面临的巨大挑战，并且仍然是资料仓储技术顺利应用过程中持续存在的难题。

市场驱动因素

随着企业努力突破传统本地部署系统的扩充性限制，混合型和云端资料仓储架构的快速普及正在从根本上改变全球市场格局。这项转变的驱动力在于市场对高度适应性储存解决方案的需求，这些解决方案能够有效管理不断变化的资料量，并透过计量收费模式降低整体拥有成本。企业正日益摒弃柔软性的基础设施，转而迁移到能够提供集中管理和无缝扩充性的平台。例如，Starburst 在 2025 年 2 月的财报中宣布，其云端原生资料湖仓平台的采用率年增了 94%，这表明整个产业正在向可扩展的分散式云端基础设施转型。

此外，机器学习和人工智慧的融合正成为一股至关重要的次要驱动力，推动资料仓储从静态储存库演变为动态分析引擎。随着企业将生成式人工智慧和预测建模整合到工作流程中，支援复杂演算法的高效能资料仓储的需求日益增长。根据 Cloudera 于 2025 年 9 月发布的《人工智慧与资料架构》报告，96% 的 IT 领导者表示「人工智慧至少已部分整合到核心业务流程中」。这项策略重点正直接影响支出，Informatica 在 2025 年 1 月指出，87% 采用生成式人工智慧的公司计划增加投资，因此，建立强大的后端资料架构至关重要。

市场挑战

全球企业资料仓储市场面临的主要限制因素源自于资料管治的复杂性和严格的国际监管标准。随着企业累积大量资料集，处理敏感资料的责任也日益加重，迫使企业优先考虑风险缓解而非基础设施扩容。这种谨慎的做法往往导致集中式资料仓储解决方案的采用延迟，尤其是在需要跨境云端传输的情况下，使得企业难以协调分散的资料孤岛与不断变化的隐私法规。

这些合规义务造成了营运瓶颈，直接影响资源可用性和预算分配。企业往往被迫将资金投入法律监管和合规管理工具上，而不是投资于扩大资料仓储容量或进阶分析。内部团队的负担显而易见。根据国际隐私专业人员协会 (IAPP) 2024 年的报告，60% 的隐私专业人员除了主要职责外，还承担额外的资料管治任务。这项数据凸显了企业面临的资源短缺和日益繁重的工作量，对资料仓储环境的快速部署和扩展构成了重大障碍。

市场趋势

资料湖屋架构的兴起正逐渐成为主流趋势。它有效地结合了资料仓储的事务控制和资料湖经济高效且灵活的储存优势。这种架构融合使得高效能分析能够透过开放式表格式直接在物件储存上执行，消除了孤立环境的低效性。透过消除在不同系统之间进行复杂资料迁移的需求，企业正在简化其资料堆迭并提高查询效能。根据 Dremio 2025 年 1 月发布的报告，67% 的企业计划在三年内采用资料湖屋作为其主要分析平台，从僵化的旧有系统向整合式通用平台的迁移正在进行中。

同时，串流和即时资料撷取正蓬勃发展，突破了传统批次延迟的限制。随着企业对即时洞察的需求日益增长，例如用于诈欺侦测、动态定价和个人化客户体验，资料仓储也不断演进，以处理持续不断的事件流。这种转变需要一个专门的资料流平台，以确保资料的新鲜度和下游应用程式的高吞吐量连接。根据 Confluent 发布的《2025 年 5 月资料流报告》，86% 的 IT 领导者将资料流投资视为重中之重，这反映出各行各业都在加速从资讯中创造价值，并将资料仓储转变为主动决策引擎。

目录

第一章概述

第二章：调查方法

第三章执行摘要

第四章：客户心声

第五章：全球企业资料仓储市场展望

  • 市场规模及预测
    • 按金额
  • 市占率及预测
    • 按组件（软体、服务）
    • 部署类型（云端/本地）
    • 按行业划分（医疗保健、零售、银行、金融服务和保险、电信、政府、製造业及其他）
    • 按地区
    • 按公司（2025 年）
  • 市场地图

第六章：北美企业资料仓储市场展望

  • 市场规模及预测
  • 市占率及预测
  • 北美洲：国别分析
    • 我们
    • 加拿大
    • 墨西哥

第七章：欧洲企业资料仓储市场展望

  • 市场规模及预测
  • 市占率及预测
  • 欧洲：国别分析
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙

第八章：亚太地区企业资料仓储市场展望

  • 市场规模及预测
  • 市占率及预测
  • 亚太地区：国别分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

第九章：中东和非洲企业资料仓储市场展望

  • 市场规模及预测
  • 市占率及预测
  • 中东与非洲：国别分析
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 南非

第十章：南美洲企业资料仓储市场展望

  • 市场规模及预测
  • 市占率及预测
  • 南美洲：国别分析
    • 巴西
    • 哥伦比亚
    • 阿根廷

第十一章 市场动态

  • 促进因素
  • 任务

第十二章 市场趋势与发展

  • 併购
  • 产品发布
  • 近期趋势

第十三章：全球企业资料仓储市场：SWOT分析

第十四章：波特五力分析

  • 产业竞争
  • 新进入者的潜力
  • 供应商的议价能力
  • 顾客权力
  • 替代品的威胁

第十五章 竞争格局

  • Microsoft Corporation
  • Oracle Corporation
  • IBM Corporation
  • SAP SE
  • Open Text Corporation
  • Cloudera, Inc.
  • Exasol AG
  • Dremio Corporation
  • Teradata Corporation
  • Snowflake Inc.

第十六章 策略建议

第十七章：关于研究公司及免责声明

简介目录
Product Code: 25229

The Global Enterprise Data Warehouse Market is projected to surge from USD 25.07 Billion in 2025 to USD 86.94 Billion by 2031, achieving a CAGR of 23.03%. An Enterprise Data Warehouse functions as a central hub that consolidates structured and unstructured data from various sources to enable strategic decision-making and analytical reporting. This market growth is primarily fueled by the explosive expansion of organizational data volumes and the imperative need for real-time analytics to drive business intelligence. Additionally, the operational shift toward cloud-based infrastructures acts as a key catalyst, providing businesses with superior cost efficiency and scalability compared to traditional on-premise systems.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 25.07 Billion
Market Size 2031USD 86.94 Billion
CAGR 2026-203123.03%
Fastest Growing SegmentCloud
Largest MarketNorth America

However, market growth faces obstacles due to the difficulties of data governance and strict regulatory compliance requirements. Navigating the complex web of global privacy laws often leads to implementation delays and higher operational costs for organizations. ISACA reported in 2024 that only 34% of organizations found understanding and managing privacy obligations to be easy. This figure emphasizes the significant struggle enterprises face in maintaining compliant data environments, posing a continuous challenge to the smooth adoption of data warehousing technologies.

Market Driver

The global market is being fundamentally transformed by the rapid uptake of hybrid and cloud-based data warehousing architectures as businesses strive to bypass the scalability constraints of older on-premise systems. This transition is motivated by the demand for adaptable storage solutions that manage changing data volumes efficiently while lowering total ownership costs via pay-as-you-go models. Enterprises are increasingly retiring inflexible infrastructure for platforms offering centralized management and seamless elasticity. For instance, Starburst announced in its February 2025 financial results that adoption of its cloud-native data lakehouse platform grew by 94% year-over-year, illustrating the industry's shift toward scalable, decentralized cloud infrastructures.

Furthermore, the incorporation of machine learning and artificial intelligence acts as a crucial secondary driver, evolving data warehouses from static repositories into dynamic analytical engines. As companies embed generative AI and predictive modeling into their workflows, the need for high-performance warehousing to support complex algorithms has intensified. According to Cloudera's September 2025 report on AI and data architecture, 96% of IT leaders indicated that AI is now at least partially integrated into core business processes. This strategic priority directly impacts spending; Informatica noted in January 2025 that 87% of firms adopting generative AI plan to boost investment, necessitating sturdy backend data architectures.

Market Challenge

Significant constraints on the Global Enterprise Data Warehouse Market arise from the complexity of data governance and rigorous international regulatory standards. As organizations amass massive datasets, the liabilities linked to handling sensitive data increase, compelling firms to prioritize risk reduction over infrastructure growth. This cautious stance frequently results in delayed implementation of centralized warehousing solutions, especially those requiring cross-border cloud transfers, as companies struggle to reconcile fragmented data silos with changing privacy regulations.

These compliance obligations generate operational bottlenecks that directly affect resource availability and budget distribution. Rather than funding expanded warehouse capacity or advanced analytics, organizations are often forced to redirect capital toward legal oversight and compliance management tools. The pressure on internal teams is clear; the International Association of Privacy Professionals (IAPP) reported in 2024 that 60% of privacy professionals took on extra data governance tasks beyond their primary roles. This statistic highlights the growing resource scarcity and operational strain enterprises face, creating a major hurdle to the rapid deployment and expansion of data warehousing ecosystems.

Market Trends

The rise of Data Lakehouse architectures is emerging as a dominant trend, effectively combining the transactional control of data warehouses with the cost-effective, flexible storage of data lakes. This architectural convergence resolves siloed environment inefficiencies by enabling enterprises to execute high-performance analytics directly on object storage via open table formats. By removing the necessity for complex data migration between separate systems, businesses are simplifying their data stacks and boosting query performance. Dremio's January 2025 report indicates that 67% of organizations aim to use data lakehouses as their main analytics platform within three years, signaling a shift from rigid legacy systems to unified, versatile platforms.

Concurrently, there is an aggressive move toward streaming and real-time data ingestion, advancing beyond the latency limitations of conventional batch processing. As companies require instant insights for fraud detection, dynamic pricing, and tailored customer experiences, data warehouses are evolving to handle continuous event streams. This shift requires specialized data streaming platforms that guarantee data freshness and high-throughput connectivity for downstream applications. According to Confluent's May 2025 Data Streaming Report, 86% of IT leaders identify data streaming investments as a top priority, reflecting an industry-wide drive to reduce information time-to-value and convert data warehouses into proactive decision-making engines.

Key Market Players

  • Microsoft Corporation
  • Oracle Corporation
  • IBM Corporation
  • SAP SE
  • Open Text Corporation
  • Cloudera, Inc.
  • Exasol AG
  • Dremio Corporation
  • Teradata Corporation
  • Snowflake Inc.

Report Scope

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

Enterprise Data Warehouse Market, By Component

  • Software
  • Services

Enterprise Data Warehouse Market, By Deployment

  • Cloud
  • On-premises

Enterprise Data Warehouse Market, By Industry Vertical

  • Healthcare
  • Retail
  • Banking
  • Financial Services
  • & Insurance
  • Telecommunications
  • Government
  • Manufacturing
  • Others

Enterprise Data Warehouse 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 Enterprise Data Warehouse Market.

Available Customizations:

Global Enterprise Data Warehouse 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 Enterprise Data Warehouse Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Software, Services)
    • 5.2.2. By Deployment (Cloud, On-premises)
    • 5.2.3. By Industry Vertical (Healthcare, Retail, Banking, Financial Services, & Insurance, Telecommunications, Government, Manufacturing, Others)
    • 5.2.4. By Region
    • 5.2.5. By Company (2025)
  • 5.3. Market Map

6. North America Enterprise Data Warehouse Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Deployment
    • 6.2.3. By Industry Vertical
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Enterprise Data Warehouse 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 Component
        • 6.3.1.2.2. By Deployment
        • 6.3.1.2.3. By Industry Vertical
    • 6.3.2. Canada Enterprise Data Warehouse 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 Component
        • 6.3.2.2.2. By Deployment
        • 6.3.2.2.3. By Industry Vertical
    • 6.3.3. Mexico Enterprise Data Warehouse 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 Component
        • 6.3.3.2.2. By Deployment
        • 6.3.3.2.3. By Industry Vertical

7. Europe Enterprise Data Warehouse Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Deployment
    • 7.2.3. By Industry Vertical
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Enterprise Data Warehouse 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 Component
        • 7.3.1.2.2. By Deployment
        • 7.3.1.2.3. By Industry Vertical
    • 7.3.2. France Enterprise Data Warehouse 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 Component
        • 7.3.2.2.2. By Deployment
        • 7.3.2.2.3. By Industry Vertical
    • 7.3.3. United Kingdom Enterprise Data Warehouse 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 Component
        • 7.3.3.2.2. By Deployment
        • 7.3.3.2.3. By Industry Vertical
    • 7.3.4. Italy Enterprise Data Warehouse 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 Component
        • 7.3.4.2.2. By Deployment
        • 7.3.4.2.3. By Industry Vertical
    • 7.3.5. Spain Enterprise Data Warehouse 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 Component
        • 7.3.5.2.2. By Deployment
        • 7.3.5.2.3. By Industry Vertical

8. Asia Pacific Enterprise Data Warehouse Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Deployment
    • 8.2.3. By Industry Vertical
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Enterprise Data Warehouse 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 Component
        • 8.3.1.2.2. By Deployment
        • 8.3.1.2.3. By Industry Vertical
    • 8.3.2. India Enterprise Data Warehouse 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 Component
        • 8.3.2.2.2. By Deployment
        • 8.3.2.2.3. By Industry Vertical
    • 8.3.3. Japan Enterprise Data Warehouse 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 Component
        • 8.3.3.2.2. By Deployment
        • 8.3.3.2.3. By Industry Vertical
    • 8.3.4. South Korea Enterprise Data Warehouse 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 Component
        • 8.3.4.2.2. By Deployment
        • 8.3.4.2.3. By Industry Vertical
    • 8.3.5. Australia Enterprise Data Warehouse 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 Component
        • 8.3.5.2.2. By Deployment
        • 8.3.5.2.3. By Industry Vertical

9. Middle East & Africa Enterprise Data Warehouse Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Deployment
    • 9.2.3. By Industry Vertical
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Enterprise Data Warehouse 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 Component
        • 9.3.1.2.2. By Deployment
        • 9.3.1.2.3. By Industry Vertical
    • 9.3.2. UAE Enterprise Data Warehouse 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 Component
        • 9.3.2.2.2. By Deployment
        • 9.3.2.2.3. By Industry Vertical
    • 9.3.3. South Africa Enterprise Data Warehouse 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 Component
        • 9.3.3.2.2. By Deployment
        • 9.3.3.2.3. By Industry Vertical

10. South America Enterprise Data Warehouse Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Deployment
    • 10.2.3. By Industry Vertical
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Enterprise Data Warehouse 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 Component
        • 10.3.1.2.2. By Deployment
        • 10.3.1.2.3. By Industry Vertical
    • 10.3.2. Colombia Enterprise Data Warehouse 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 Component
        • 10.3.2.2.2. By Deployment
        • 10.3.2.2.3. By Industry Vertical
    • 10.3.3. Argentina Enterprise Data Warehouse 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 Component
        • 10.3.3.2.2. By Deployment
        • 10.3.3.2.3. By Industry Vertical

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 Enterprise Data Warehouse 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. Microsoft 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. Oracle Corporation
  • 15.3. IBM Corporation
  • 15.4. SAP SE
  • 15.5. Open Text Corporation
  • 15.6. Cloudera, Inc.
  • 15.7. Exasol AG
  • 15.8. Dremio Corporation
  • 15.9. Teradata Corporation
  • 15.10. Snowflake Inc.

16. Strategic Recommendations

17. About Us & Disclaimer