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1932984

全球資料湖市場預測（至 2032 年）：按組件、資料類型、部署模式、技術、最終用戶和地區分類

Data Lakehouse Market Forecasts to 2032 - Global Analysis By Component, Data Type, Deployment Model, Technology, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球資料湖倉市場價值將達到 142.1 億美元，到 2032 年將達到 685.2 億美元，在預測期內的複合年成長率為 25.2%。

資料湖屋是一種現代架構，它融合了資料湖的擴充性、柔軟性和成本效益，以及資料倉儲的結構、管治和效能。它使組織能夠在單一儲存庫中儲存原始數據、半結構化數據和結構化數據，同時支援進階分析、商業智慧和機器學習工作負載。透過利用開放文件格式、交易一致性、元資料管理和模式強制執行，資料湖屋消除了資料孤島並減少了資料重複。這種統一的方法能夠更快地獲得洞察、簡化資料管理，並在各種企業用例中實現一致的分析。

跨結構化和非結構化資料的整合分析

企業對統一架構的需求日益成長，旨在打破資料孤島，簡化分析工作流程。湖庫解決方案結合了資料湖的柔軟性和資料倉儲的可靠性，從而提升效率。供應商正透過整合查詢引擎和即時處理能力推動湖庫的普及。零售、銀行、金融和保險 (BFSI) 以及醫療保健等行業對全面洞察的需求不斷成長，推動了湖庫的廣泛應用。整合分析使湖庫成為下一代企業智慧的基礎。

湖畔小屋技術熟練人員短缺

企業難以招募熟悉混合架構的工程師和分析師。與擁有成熟技術團隊的大型企業相比，中小企業面臨著人才短缺的困境。隨著人工智慧工作負載的管治、流程和管理變得日益複雜，其普及應用也受到進一步阻礙。供應商正在引入自動化和低程式碼介面，以減少對高級技能的依賴。人才短缺正在重塑採用策略，並減緩湖屋生態系統的擴充性。

透過簡易的雲端解決方案，擴大中小企業對雲端解決方案的採用率。

中小企業需要一種經濟高效的框架，能夠在無需大量基礎設施投資的情況下管理各種資料集。基於雲端的湖倉透過實現快速部署和可擴展儲存來提高敏捷性。供應商正在創新訂閱模式和託管服務，以滿足中小企業的需求。新興經濟體對數位化投入的增加正在推動市場需求。中小企業對湖倉的採用，使其成為促進包容性數據驅動成長的催化劑。

供應商鎖定和遷移複雜性

企業在跨平台遷移工作負載時面臨許多挑戰，尤其是採用專有架構的平台之間。與擁有封閉式生態系統的超大規模供應商相比，小規模供應商受限於有限的互通性。不斷上漲的成本和柔軟性的合約進一步削弱了人們對長期部署的信心。供應商正透過引入開放原始碼框架和實現多重雲端相容性來降低風險。鎖定效應正在重塑競爭動態，並限制了湖屋市場的擴充性。

新冠疫情的影響：

新冠疫情加速了企業對遠距辦公平台的需求，因為企業更加重視韌性和敏捷性。一方面，勞動力和供應鏈中斷延緩了現代化計劃；另一方面，對安全遠端連線的需求增加推動了雲端原生遠距辦公平台的普及。企業更加依賴整合分析來在動盪的環境下維持營運。供應商也整合了先進的自動化和合規功能來提升韌性。

預計在預測期內，湖畔平台軟體細分市場將佔據最大的市場佔有率。

預計在預測期內，湖屋平台軟體細分市場將佔據最大的市場佔有率，這主要得益於對整合分析框架的需求。企業正在將平台軟體融入其工作流程，以加快合規流程並提升決策效率。供應商正在開發整合管治、自動化和即時查詢引擎的解決方案。對統一資料存取日益成長的需求正在推動該細分市場的普及。平台軟體正在推動湖屋作為企業智慧基礎的普及。

預計在預測期內，醫療保健和生命科學領域將實現最高的複合年成長率。

在對安全患者數據分析需求不斷成長的推動下，醫療保健和生命科學領域預計將在預測期內實現最高成長率。醫院和研究機構越來越需要湖倉系統來管理臨床記錄和基因組資料集。供應商正在整合自適應監控和合規功能以提高回應速度。中小企業和大型機構都受益於針對不同醫療保健生態系統量身定做的可擴展解決方案。對數位健康基礎設施的不斷成長的投資正在推動該領域的需求。醫療保健和生命科學領域正在利用湖倉系統作為患者照護創新的催化劑。

佔比最大的地區：

由於成熟的IT基礎設施和企業對湖屋框架的廣泛採用，預計北美將在預測期內保持最大的市場佔有率。美國和加拿大的公司正在加速對混合資料架構的投資。主要技術提供商的存在進一步鞏固了該地區的領先地位。對資料隱私法規合規性的日益成長的需求正在推動各行業的應用。供應商正在整合先進的自動化和人工智慧驅動的分析功能，以在競爭激烈的市場中脫穎而出。北美的領先地位反映了該地區在分析應用方面將創新與監管合規相結合的能力。

預計年複合成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於快速的數位化、不斷成長的行動網路普及率以及政府主導的改善網路連接的舉措。中國、印度和東南亞等國家正在加速湖畔住宅系統的投資，以支持業務成長。當地Start-Ups正在推出針對不同消費族群量身訂製的具成本效益解決方案。企業正在採用人工智慧驅動的雲端原生平台，以提高可擴展性並滿足合規性要求。政府推行的數位轉型計畫正在推動這些解決方案的普及。亞太地區的趨勢凸顯了其作為下一代湖畔住宅解決方案試驗場的地位。

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目錄

第1章執行摘要

第2章 前言

  • 概括
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球資料湖庫市場（按組件分類）

  • Lakehouse月台軟體
  • 資料擷取和整合工具
  • 元資料、目錄和血緣工具
  • 資料管治、品質和合規解決方案
  • 安全和存取管理工具
  • 其他部件

6. 全球資料湖市場（依資料類型分類）

  • 結構化資料
  • 半結構化
  • 非結構化
  • 串流媒體

7. 全球資料湖市場依部署模式分類

  • 雲端原生
  • 本地部署

8. 全球資料湖庫市場（依技術分類）

  • API優先與微服務框架
  • 人工智慧和機器學習的整合
  • 即時和串流處理引擎
  • 邊緣和物聯網資料處理
  • 其他技術

9. 全球資料湖庫市場（依最終用戶分類）

  • 醫療保健和生命科學
  • 零售和消費品
  • IT/通訊
  • 製造業
  • 能源與公共產業
  • 政府/公共部門
  • 其他最終用戶

第10章：全球資料湖庫市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章 企業概況

  • Snowflake Inc.
  • Databricks Inc.
  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • Google LLC
  • Oracle Corporation
  • SAP SE
  • IBM Corporation
  • Teradata Corporation
  • Cloudera, Inc.
  • Informatica Inc.
  • SAS Institute Inc.
  • Hewlett Packard Enterprise Company
  • Dell Technologies Inc.
  • Collibra NV
Product Code: SMRC33552

According to Stratistics MRC, the Global Data Lakehouse Market is accounted for $14.21 billion in 2025 and is expected to reach $68.52 billion by 2032 growing at a CAGR of 25.2% during the forecast period. A data lakehouse is a modern data architecture that combines the scalability, flexibility, and cost efficiency of a data lake with the structure, governance, and performance of a data warehouse. It enables organizations to store raw, semi-structured, and structured data in a single repository while supporting advanced analytics, business intelligence, and machine learning workloads. By leveraging open file formats, transactional consistency, metadata management, and schema enforcement, a data lakehouse eliminates data silos and reduces data duplication. This unified approach allows faster insights, simplified data management, and consistent analytics across diverse enterprise data use cases.

Market Dynamics:

Driver:

Unified analytics across structured & unstructured data

Enterprises increasingly require unified architectures to eliminate silos and streamline analytics workflows. Lakehouse solutions are enhancing efficiency by combining the flexibility of data lakes with the reliability of warehouses. Vendors are advancing adoption through integrated query engines and real-time processing capabilities. Rising demand for holistic insights is fostering deployment across industries such as retail, BFSI, and healthcare. Unified analytics is positioning lakehouses as the backbone of next-generation enterprise intelligence.

Restraint:

Skilled talent shortage in lakehouse tech

Organizations struggle to recruit engineers and analysts proficient in hybrid architectures. Smaller firms are constrained by workforce gaps compared to incumbents with established technical teams. Rising complexity in managing governance, pipelines, and AI workloads further hampers adoption. Vendors are introducing automation and low-code interfaces to reduce dependency on advanced skill sets. Talent shortages are reshaping adoption strategies and slowing scalability in the lakehouse ecosystem.

Opportunity:

Growing SME adoption via easy cloud solutions

Smaller enterprises require cost-effective frameworks to manage diverse datasets without heavy infrastructure investments. Cloud-based lakehouses are enhancing agility by enabling rapid deployment and scalable storage. Vendors are propelling innovation with subscription models and managed services tailored to SME needs. Rising investment in digital enablement is fostering demand across emerging economies. SME adoption is positioning lakehouses as catalysts for inclusive data-driven growth.

Threat:

Vendor lock-in and migration complexity

Enterprises face challenges in migrating workloads across platforms due to proprietary architectures. Smaller providers are hindered by limited interoperability compared to hyperscale vendors with closed ecosystems. Rising concerns over cost escalation and inflexible contracts further degrade trust in long-term adoption. Vendors are embedding open-source frameworks and multi-cloud compatibility to mitigate risks. Lock-in challenges are reshaping competitive dynamics and limiting scalability in the lakehouse market.

Covid-19 Impact:

The Covid-19 pandemic accelerated demand for lakehouse platforms as enterprises prioritized resilience and agility. On one hand, disruptions in workforce and supply chains delayed modernization projects. On the other hand, rising demand for secure remote connectivity boosted adoption of cloud-native lakehouses. Firms increasingly relied on unified analytics to sustain operations during volatile conditions. Vendors embedded advanced automation and compliance features to foster resilience.

The lakehouse platform software segment is expected to be the largest during the forecast period

The lakehouse platform software segment is expected to account for the largest market share during the forecast period, driven by demand for integrated analytics frameworks. Enterprises are embedding platform software into workflows to accelerate compliance and strengthen decision-making. Vendors are developing solutions that integrate governance, automation, and real-time query engines. Rising demand for unified data access is boosting adoption in this segment. Platform software is fostering lakehouses as the backbone of enterprise intelligence.

The healthcare & life sciences segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare & life sciences segment is predicted to witness the highest growth rate, supported by rising demand for secure patient data analysis. Hospitals and research institutions increasingly require lakehouse systems to manage clinical records and genomic datasets. Vendors are embedding adaptive monitoring and compliance features to accelerate responsiveness. SMEs and large institutions benefit from scalable solutions tailored to diverse healthcare ecosystems. Rising investment in digital health infrastructure is propelling demand in this segment. Healthcare and life sciences are fostering lakehouses as catalysts for innovation in patient care.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, anchored by mature IT infrastructure and strong enterprise adoption of lakehouse frameworks. Corporations in the United States and Canada are accelerating investments in hybrid data architectures. The presence of major technology providers further consolidates regional dominance. Rising demand for compliance with data privacy regulations is propelling adoption across industries. Vendors are embedding advanced automation and AI-driven analytics to foster differentiation in competitive markets. North America's leadership reflects its ability to merge innovation with regulatory discipline in analytics adoption.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, propelled by rapid digitalization, expanding mobile penetration, and government-led connectivity initiatives. Countries such as China, India, and Southeast Asia are accelerating investments in lakehouse systems to support enterprise growth. Local startups are deploying cost-effective solutions tailored to diverse consumer bases. Firms are adopting AI-driven and cloud-native platforms to boost scalability and meet compliance expectations. Government programs promoting digital transformation are fostering adoption. Asia Pacific's trajectory underscores its role as a testing ground for next-generation lakehouse solutions.

Key players in the market

Some of the key players in Data Lakehouse Market include Snowflake Inc., Databricks Inc., Amazon Web Services, Inc., Microsoft Corporation, Google LLC, Oracle Corporation, SAP SE, IBM Corporation, Teradata Corporation, Cloudera, Inc., Informatica Inc., SAS Institute Inc., Hewlett Packard Enterprise Company, Dell Technologies Inc. and Collibra NV.

Key Developments:

In March 2024, Snowflake deepened its partnership with NVIDIA to integrate the NVIDIA NeMo(TM) platform with Snowflake Cortex, enabling enterprises to build, customize, and deploy custom AI models securely within their Snowflake Data Cloud. This collaboration aims to streamline the development of generative AI applications using proprietary data while maintaining strict governance and security.

In June 2023, AWS and MongoDB expanded their partnership to offer an integrated analytics experience, allowing joint customers to analyze live MongoDB data in Amazon Athena, reducing the need for complex ETL pipelines.

Components Covered:

  • Lakehouse Platform Software
  • Data Ingestion & Integration Tools
  • Metadata, Catalog & Lineage Tools
  • Data Governance, Quality & Compliance Solutions
  • Security & Access Management Tools
  • Other Components

Data Types Covered:

  • Structured
  • Semi-Structured
  • Unstructured
  • Streaming

Deployment Models Covered:

  • Cloud-Native
  • On-Premise

Technologies Covered:

  • API-First & Microservices Frameworks
  • AI & Machine Learning Integration
  • Real-Time & Stream Processing Engines
  • Edge & IoT Data Processing
  • Other Technologies

End Users Covered:

  • Healthcare & Life Sciences
  • Retail & Consumer Goods
  • IT & Telecommunications
  • Manufacturing
  • Energy & Utilities
  • Government & Public Sector
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Data Lakehouse Market, By Component

  • 5.1 Introduction
  • 5.2 Lakehouse Platform Software
  • 5.3 Data Ingestion & Integration Tools
  • 5.4 Metadata, Catalog & Lineage Tools
  • 5.5 Data Governance, Quality & Compliance Solutions
  • 5.6 Security & Access Management Tools
  • 5.7 Other Components

6 Global Data Lakehouse Market, By Data Type

  • 6.1 Introduction
  • 6.2 Structured
  • 6.3 Semi-Structured
  • 6.4 Unstructured
  • 6.5 Streaming

7 Global Data Lakehouse Market, By Deployment Model

  • 7.1 Introduction
  • 7.2 Cloud-Native
  • 7.3 On-Premise

8 Global Data Lakehouse Market, By Technology

  • 8.1 Introduction
  • 8.2 API-First & Microservices Frameworks
  • 8.3 AI & Machine Learning Integration
  • 8.4 Real-Time & Stream Processing Engines
  • 8.5 Edge & IoT Data Processing
  • 8.6 Other Technologies

9 Global Data Lakehouse Market, By End User

  • 9.1 Introduction
  • 9.2 Healthcare & Life Sciences
  • 9.3 Retail & Consumer Goods
  • 9.4 IT & Telecommunications
  • 9.5 Manufacturing
  • 9.6 Energy & Utilities
  • 9.7 Government & Public Sector
  • 9.8 Other End Users

10 Global Data Lakehouse Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Snowflake Inc.
  • 12.2 Databricks Inc.
  • 12.3 Amazon Web Services, Inc.
  • 12.4 Microsoft Corporation
  • 12.5 Google LLC
  • 12.6 Oracle Corporation
  • 12.7 SAP SE
  • 12.8 IBM Corporation
  • 12.9 Teradata Corporation
  • 12.10 Cloudera, Inc.
  • 12.11 Informatica Inc.
  • 12.12 SAS Institute Inc.
  • 12.13 Hewlett Packard Enterprise Company
  • 12.14 Dell Technologies Inc.
  • 12.15 Collibra NV

List of Tables

  • Table 1 Global Data Lakehouse Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Data Lakehouse Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Data Lakehouse Market Outlook, By Lakehouse Platform Software (2024-2032) ($MN)
  • Table 4 Global Data Lakehouse Market Outlook, By Data Ingestion & Integration Tools (2024-2032) ($MN)
  • Table 5 Global Data Lakehouse Market Outlook, By Metadata, Catalog & Lineage Tools (2024-2032) ($MN)
  • Table 6 Global Data Lakehouse Market Outlook, By Data Governance, Quality & Compliance Solutions (2024-2032) ($MN)
  • Table 7 Global Data Lakehouse Market Outlook, By Security & Access Management Tools (2024-2032) ($MN)
  • Table 8 Global Data Lakehouse Market Outlook, By Other Components (2024-2032) ($MN)
  • Table 9 Global Data Lakehouse Market Outlook, By Data Type (2024-2032) ($MN)
  • Table 10 Global Data Lakehouse Market Outlook, By Structured (2024-2032) ($MN)
  • Table 11 Global Data Lakehouse Market Outlook, By Semi-Structured (2024-2032) ($MN)
  • Table 12 Global Data Lakehouse Market Outlook, By Unstructured (2024-2032) ($MN)
  • Table 13 Global Data Lakehouse Market Outlook, By Streaming (2024-2032) ($MN)
  • Table 14 Global Data Lakehouse Market Outlook, By Deployment Model (2024-2032) ($MN)
  • Table 15 Global Data Lakehouse Market Outlook, By Cloud-Native (2024-2032) ($MN)
  • Table 16 Global Data Lakehouse Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 17 Global Data Lakehouse Market Outlook, By Technology (2024-2032) ($MN)
  • Table 18 Global Data Lakehouse Market Outlook, By API-First & Microservices Frameworks (2024-2032) ($MN)
  • Table 19 Global Data Lakehouse Market Outlook, By AI & Machine Learning Integration (2024-2032) ($MN)
  • Table 20 Global Data Lakehouse Market Outlook, By Real-Time & Stream Processing Engines (2024-2032) ($MN)
  • Table 21 Global Data Lakehouse Market Outlook, By Edge & IoT Data Processing (2024-2032) ($MN)
  • Table 22 Global Data Lakehouse Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 23 Global Data Lakehouse Market Outlook, By End User (2024-2032) ($MN)
  • Table 24 Global Data Lakehouse Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 25 Global Data Lakehouse Market Outlook, By Retail & Consumer Goods (2024-2032) ($MN)
  • Table 26 Global Data Lakehouse Market Outlook, By IT & Telecommunications (2024-2032) ($MN)
  • Table 27 Global Data Lakehouse Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 28 Global Data Lakehouse Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 29 Global Data Lakehouse Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 30 Global Data Lakehouse Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.