세계의 데이터 웨어하우스 시장은 클라우드 기술의 보급이 진행됨에 따라 향후 성장이 예상됩니다. 클라우드 기술에는 서버, 스토리지, 데이터베이스, 네트워킹, 소프트웨어, 분석, 인텔리전스 등 인터넷을 통한 컴퓨터 서비스 제공이 포함됩니다. 클라우드 데이터 웨어하우스를 통해 고객은 귀중한 데이터에 액세스하고 보호하면서 높은 처리 속도를 보장할 수 있습니다. 예를 들어, 통계의 종합적인 컬렉션을 제공하는 독립 플랫폼인 worldmetrics.org에 따르면, 세계 데이터 웨어하우스 시장은 2025년까지 347억 달러에 이르고, 2020년부터 2025년까지 연평균 성장률(CAGR)은 9.9%가 될 것으로 예측되고 있습니다. 중요한 점은 기업의 57%가 데이터 웨어하우스의 현대화를 디지털 변환에 필수적이라고 생각했음에도 불구하고, 95% 이상의 데이터 웨어하우스 프로젝트가 비즈니스 요구사항을 충족시키지 못한다고 보고했다는 것입니다.
인공지능의 이용 확대가 향후 데이터 웨어하우스 시장을 견인할 것으로 예상됩니다. 인공지능(AI)은 컴퓨터 과학과 기술의 한 분야이며, 일반적으로 인간의 지능이 필요한 작업을 수행할 수 있는 컴퓨터 시스템과 소프트웨어를 만드는 데 중점을 둡니다. 데이터 웨어하우스는 머신러닝 모델을 교육하고 파워업하는 데 필요한 방대한 데이터의 구조화된 통합 리포지토리를 제공함으로써 AI에서 중요한 역할을 합니다. 데이터 웨어하우스를 통해 기업은 데이터에 대한 액세스, 처리 및 분석을 효율적으로 수행할 수 있어 AI를 활용한 인사이트 및 예측 분석이 용이해집니다. 데이터 웨어하우스 솔루션은 데이터 거버넌스 및 컴플라이언스도 지원하여 AI 용도에서 사용되는 데이터의 품질과 보안을 보장합니다. 예를 들어, 2023년 9월 인도의 소프트웨어 개발 회사 Radixweb에 따르면 세계 AI 시장은 3,283억 4,000만 달러 규모이며, 2021년부터 2030년까지 38.1% 증가가 예측되고 있습니다. 따라서 AI의 이용 확대가 데이터 웨어하우스 시장을 견인할 것으로 보입니다.
데이터 웨어하우스의 혁신은 데이터 웨어하우스 시장의 중요한 동향으로 부상하고 있습니다. 이 분야의 주요 기업은 시장에서의 지위를 강화하기 위해 혁신적인 제품을 발표하고 있습니다. 예를 들어, 데이터 웨어하우스 전문 기업인 미국 Oracle은 2024년 9월 Oracle 데이터 인텔리전스 플랫폼을 위한 인텔리전트 데이터 레이크 및 생성형 AI 구동 분석을 발표했습니다. 이러한 새로운 기능은 데이터 통합 및 분석 기능을 강화하여 조직이 구조화된 데이터와 비구조화된 데이터를 보다 효과적으로 관리하고 분석할 수 있게 합니다. 지능형 데이터 레이크는 확장 가능한 리포지토리 역할을 하며 생성된 AI 도구는 자동화된 통찰력을 제공하여 전반적인 데이터 사용 편의성과 의사결정 프로세스를 개선합니다.
목차
제1장 주요 요약
제2장 시장 특징
제3장 시장 동향과 전략
제4장 시장 - 금리, 인플레이션, 지정학, 코로나, 회복이 시장에 미치는 영향을 포함한 거시 경제 시나리오
제5장 세계의 성장 분석과 전략 분석 프레임워크
- 세계 데이터 웨어하우스 시장의 PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인, 억제요인)
- 최종 이용 산업의 분석
- 세계 데이터 웨어하우스 시장의 성장률 분석
- 세계 데이터 웨어하우스 시장 실적 : 규모와 성장, 2019-2024년
- 세계 데이터 웨어하우스 시장 예측 : 규모와 성장, 2024-2029년, 2034년
- 세계 데이터 웨어하우스 전체 시장 규모(TAM)
제6장 시장 세분화
- 세계의 데이터 웨어하우스 시장 : 제공 유형별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
- ETL 솔루션
- 통계 분석
- 데이터 마이닝
- 기타 제공 유형
- 세계의 데이터 웨어하우스 시장 : 데이터 유형별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
- 비구조화 데이터
- 반구조화 데이터 및 구조화 데이터
- 세계의 데이터 웨어하우스 시장 : 전개 모드별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
- 온프레미스
- 클라우드
- 하이브리드
- 세계의 데이터 웨어하우스 시장 : 조직 유형별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
- 대기업
- 중소기업
- 세계 데이터 웨어하우스 시장 : 업계별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
- BFSI
- IT 및 통신
- 정부
- 제조업
- 소매
- 헬스케어
- 미디어 및 엔터테인먼트
- 기타 업종
- 세계의 데이터 웨어하우스 시장 : ETL 솔루션의 서브 세분화: 유형별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
- 배치 ETL 도구
- 실시간 ETL 도구
- 데이터 통합 솔루션
- 세계의 데이터 웨어하우스 시장 : 통계 분석의 서브 세분화: 유형별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
- 기술 통계 도구
- 추론 통계 도구
- 예측 분석 도구
- 세계의 데이터 웨어하우스 시장 : 데이터 마이닝의 서브 세분화: 유형별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
- 어소시에이션 룰 학습 툴
- 클러스터링 툴
- 분류 도구
- 세계 데이터 웨어하우스 시장 : 기타 제공 유형의 서브 세분화: 유형별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
- 데이터 시각화 도구
- 데이터 거버넌스 솔루션
- 데이터 품질 관리 도구
제7장 지역별·국가별 분석
- 세계 데이터 웨어하우스 시장 : 지역별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
- 세계 데이터 웨어하우스 시장 : 국가별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
제8장 아시아태평양 시장
제9장 중국 시장
제10장 인도 시장
제11장 일본 시장
제12장 호주 시장
제13장 인도네시아 시장
제14장 한국 시장
제15장 서유럽 시장
제16장 영국 시장
제17장 독일 시장
제18장 프랑스 시장
제19장 이탈리아 시장
제20장 스페인 시장
제21장 동유럽 시장
제22장 러시아 시장
제23장 북미 시장
제24장 미국 시장
제25장 캐나다 시장
제26장 남미 시장
제27장 브라질 시장
제28장 중동 시장
제29장 아프리카 시장
제30장 경쟁 구도와 기업 프로파일
- 데이터웨어 하우스 시장 : 경쟁 구도
- 데이터 웨어하우스 시장 : 기업 프로파일
- Actian Corporation Overview, Products and Services, Strategy and Financial Analysis
- Cloudera Inc. Overview, Products and Services, Strategy and Financial Analysis
- Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
- IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
- Google LLC Overview, Products and Services, Strategy and Financial Analysis
제31장 기타 주요 기업 및 혁신 기업
- Oracle Corporation
- Microsoft Corporation
- Snowflake Inc.
- SAP SE
- Amazon Web Services
- 1010DATA
- AtScale Inc.
- Dell Technologies Inc.
- Informatica LLC
- Micro Focus International plc
- MarkLogic Corporation
- Panoply Ltd.
- Hewlett Packard Enterprise Company
- VMware Inc.
- Huawei Technologies Co. Ltd.
제32장 세계 시장 경쟁 벤치마킹과 대시보드
제33장 주요 인수합병(M&A)
제34장 시장의 최근 동향
제35장 시장의 잠재력이 높은 국가, 부문, 전략
- 데이터 웨어하우스 시장 2029년 - 가장 새로운 기회를 제공하는 국가
- 데이터 웨어하우스 시장 2029년 - 가장 새로운 기회를 제공하는 부문
- 데이터 웨어하우스 시장 2029년 - 성장 전략
제36장 부록
JHS
The data warehousing refers to a particular form of data management system called a data warehouse intended to facilitate and support business intelligence (BI) activities, particularly analytics. Data warehouses frequently have a lot of historical data and are only meant to be used for queries and analysis. This uses a variety of sources, including transaction programs and application log files.
The main types of offerings in data warehousing are ETL solutions, statistical analysis, data mining, and other offering types. ETL systems extract data, enforce data quality standards, conform data into a consistent format, and deliver data that is suitable for use by application developers to construct applications and by business users to make choices. The various data types include unstructured data, semi-structured and structured data, and are deployed on-premise, cloud, and hybrid. The various organization types include large enterprises and SMEs. These are used in BFSI, IT and telecom, government, manufacturing, retail, healthcare, media and entertainment, and other industry verticals.
The data warehousing market research report is one of a series of new reports from The Business Research Company that provides data warehousing market statistics, including data warehousing industry global market size, regional shares, competitors with a data warehousing market share, detailed data warehousing market segments, market trends and opportunities, and any further data you may need to thrive in the data warehousing industry. This data warehousing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The data warehousing market size has grown rapidly in recent years. It will grow from $33.76 billion in 2024 to $37.73 billion in 2025 at a compound annual growth rate (CAGR) of 11.7%. The growth in the historic period can be attributed to growth in enterprise data volume, increased complexity of data analysis, business intelligence and reporting needs, expansion of cloud computing, adoption of data warehousing for decision support.
The data warehousing market size is expected to see rapid growth in the next few years. It will grow to $69.64 billion in 2029 at a compound annual growth rate (CAGR) of 16.6%. The growth in the forecast period can be attributed to demand for real-time data analytics, growth in edge computing and IoT data processing, emphasis on hybrid and multi-cloud data warehousing, increased focus on data security and privacy, growing demand for business intelligence and analytics solutions. Major trends in the forecast period include integration of artificial intelligence and machine learning in data warehousing, adoption of data lake architecture, use of in-memory processing for faster analytics, augmented analytics for enhanced business insights, focus on sustainable and green data warehousing practices.
The increasing proliferation of cloud technology is anticipated to drive the growth of the data warehousing market in the future. Cloud technology encompasses the delivery of computer services over the internet, including servers, storage, databases, networking, software, analytics, and intelligence. Cloud data warehouses allow customers to access and protect valuable data while ensuring high processing speeds. For example, according to worldmetrics.org, an independent platform that provides a comprehensive collection of statistics, the global data warehousing market is projected to reach $34.7 billion by 2025, with an expected compound annual growth rate (CAGR) of 9.9% from 2020 to 2025. Importantly, 57% of businesses consider data warehouse modernization crucial for digital transformation, yet over 95% of data warehouse projects reportedly fail to meet business requirements.
Increased use of artificial intelligence is expected to drive the data warehousing market going forward. Artificial Intelligence (AI) is a field of computer science and technology that focuses on creating computer systems and software capable of performing tasks that typically require human intelligence. Data warehousing plays a critical role in AI by providing a structured and consolidated repository for the vast amounts of data required for training and powering machine learning models. It enables organizations to access, process, and analyze data efficiently, facilitating AI-driven insights and predictive analytics. Data warehousing solutions also support data governance and compliance, ensuring the quality and security of data used in AI applications. For instance, in September 2023, Radixweb, an India-based software development company published an article that said, the global AI market is worth $328. 34 billion, and it is expected to grow by 38. 1% from 2021 to 2030. Therefore, the increased use of AI will drive the data warehousing market.
Innovations in data warehousing are emerging as a significant trend in the data warehousing market. Leading companies in this sector are launching innovative products to bolster their market positions. For example, in September 2024, Oracle, a US-based company specializing in data warehousing, introduced the Intelligent Data Lake and Generative AI-Powered Analytics for its Oracle Data Intelligence Platform. These new features enhance data integration and analytics capabilities, allowing organizations to manage and analyze both structured and unstructured data more effectively. The Intelligent Data Lake serves as a scalable repository, while the generative AI tools provide automated insights, thereby improving overall data usability and decision-making processes.
Major companies in the data warehousing market enter strategic collaborations and partnerships to sustain their position in the market such as the strategic collaboration with SAP and Collibra. The alliance between both the company's focus on integrating its data catalog technology to develop a comprehensive data governance strategy for customers. For instance, in March 2023, SAP SE, a Germany-based software company partnered with Collibra, a Belgium-based data governance platform. The partnership aims to cater to the customers need for a single system of engagement that provides visibility into data across the enterprise and builds the foundation for enterprise-wide governance. The joint customers of both the companies will be able to deliver accurate and trusted data for every use, every user, and across every source.
In October 2023, EDB, a US-based global company, acquired Splitgraph for an undisclosed amount. This acquisition strengthens EDB's commitment to advancing the Postgres ecosystem by allowing users to efficiently execute analytical queries across diverse data sets. The integration enhances data management through improved integration, cataloging, and governance, enabling users to manage in-house data alongside open publisher information via a unified Postgres interface. Splitgraph, also based in the U.S., specializes in enabling users to seamlessly run analytical queries on a variety of data sets.
Major companies operating in the data warehousing market include Actian Corporation, Cloudera Inc., Amazon. com Inc., IBM Corporation, Google LLC, Oracle Corporation, Microsoft Corporation, Snowflake Inc., SAP SE, Amazon Web Services, 1010DATA, AtScale Inc., Dell Technologies Inc., Informatica LLC, Micro Focus International plc, MarkLogic Corporation, Panoply Ltd., Hewlett Packard Enterprise Company, VMware Inc., Huawei Technologies Co. Ltd., Kognitio Ltd., TIBCO Software Inc., Vertica Systems, Yellowbrick Data Inc., Alteryx Inc.
North America was the largest region in the data warehousing market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the data warehousing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
The countries covered in the data warehousing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.
The data warehousing market consists of revenues earned by entities by providing operations data stores, enterprise data warehouses, and data marts. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Data Warehousing Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on data warehousing market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Where is the largest and fastest growing market for data warehousing ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The data warehousing market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
- Markets Covered:1) By Offering Type: ETL Solutions; Statistical Analysis; Data Mining; Other Offering Types
- 2) By Data Type: Unstructured Data; Semi-Structured & Structured Data
- 3) By Deployment Mode: On-Premise; Cloud; Hybrid
- 4) By Organization Type: Large enterprises; SMEs
- 5) By Industry Vertical: BFSI; IT and Telecom; Government; Manufacturing; Retail; Healthcare; Media and Entertainment; Other Industry Verticals
- Subsegments:
- 1) By ETL Solutions: Batch ETL Tools; Real-Time ETL Tools; Data Integration Solutions
- 2) By Statistical Analysis: Descriptive Statistics Tools; Inferential Statistics Tools; Predictive Analytics Tools
- 3) By Data Mining: Association Rule Learning Tools; Clustering Tools; Classification Tools
- 4) By Other Offering Types: Data Visualization Tools; Data Governance Solutions; Data Quality Management Tools
- Companies Mentioned: Actian Corporation; Cloudera Inc.; Amazon. com Inc.; IBM Corporation; Google LLC
- Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
- Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
- Time series: Five years historic and ten years forecast.
- Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
- Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
- Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
- Delivery format: PDF, Word and Excel Data Dashboard.
Table of Contents
1. Executive Summary
2. Data Warehousing Market Characteristics
3. Data Warehousing Market Trends And Strategies
4. Data Warehousing Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market
5. Global Data Warehousing Growth Analysis And Strategic Analysis Framework
- 5.1. Global Data Warehousing PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
- 5.2. Analysis Of End Use Industries
- 5.3. Global Data Warehousing Market Growth Rate Analysis
- 5.4. Global Data Warehousing Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
- 5.5. Global Data Warehousing Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
- 5.6. Global Data Warehousing Total Addressable Market (TAM)
6. Data Warehousing Market Segmentation
- 6.1. Global Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- ETL Solutions
- Statistical Analysis
- Data Mining
- Other Offering Types
- 6.2. Global Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- Unstructured Data
- Semi-Structured & Structured Data
- 6.3. Global Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- On-Premise
- Cloud
- Hybrid
- 6.4. Global Data Warehousing Market, Segmentation By Organization Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- Large enterprises
- SMEs
- 6.5. Global Data Warehousing Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- BFSI
- IT and Telecom
- Government
- Manufacturing
- Retail
- Healthcare
- Media and Entertainment
- Other Industry Verticals
- 6.6. Global Data Warehousing Market, Sub-Segmentation Of ETL Solution, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- Batch ETL Tools
- Real-Time ETL Tools
- Data Integration Solutions
- 6.7. Global Data Warehousing Market, Sub-Segmentation Of Statistical Analysis, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- Descriptive Statistics Tools
- Inferential Statistics Tools
- Predictive Analytics Tools
- 6.8. Global Data Warehousing Market, Sub-Segmentation Of Data Mining, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- Association Rule Learning Tools
- Clustering Tools
- Classification Tools
- 6.9. Global Data Warehousing Market, Sub-Segmentation Of Other Offering Types, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- Data Visualization Tools
- Data Governance Solutions
- Data Quality Management Tools
7. Data Warehousing Market Regional And Country Analysis
- 7.1. Global Data Warehousing Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 7.2. Global Data Warehousing Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8. Asia-Pacific Data Warehousing Market
- 8.1. Asia-Pacific Data Warehousing Market Overview
- Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 8.2. Asia-Pacific Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 8.3. Asia-Pacific Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 8.4. Asia-Pacific Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
9. China Data Warehousing Market
- 9.1. China Data Warehousing Market Overview
- 9.2. China Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
- 9.3. China Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
- 9.4. China Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
10. India Data Warehousing Market
- 10.1. India Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 10.2. India Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 10.3. India Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11. Japan Data Warehousing Market
- 11.1. Japan Data Warehousing Market Overview
- 11.2. Japan Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 11.3. Japan Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 11.4. Japan Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12. Australia Data Warehousing Market
- 12.1. Australia Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 12.2. Australia Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 12.3. Australia Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13. Indonesia Data Warehousing Market
- 13.1. Indonesia Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 13.2. Indonesia Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 13.3. Indonesia Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14. South Korea Data Warehousing Market
- 14.1. South Korea Data Warehousing Market Overview
- 14.2. South Korea Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 14.3. South Korea Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 14.4. South Korea Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15. Western Europe Data Warehousing Market
- 15.1. Western Europe Data Warehousing Market Overview
- 15.2. Western Europe Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 15.3. Western Europe Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 15.4. Western Europe Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16. UK Data Warehousing Market
- 16.1. UK Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 16.2. UK Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 16.3. UK Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17. Germany Data Warehousing Market
- 17.1. Germany Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 17.2. Germany Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 17.3. Germany Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18. France Data Warehousing Market
- 18.1. France Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 18.2. France Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 18.3. France Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19. Italy Data Warehousing Market
- 19.1. Italy Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 19.2. Italy Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 19.3. Italy Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20. Spain Data Warehousing Market
- 20.1. Spain Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 20.2. Spain Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 20.3. Spain Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21. Eastern Europe Data Warehousing Market
- 21.1. Eastern Europe Data Warehousing Market Overview
- 21.2. Eastern Europe Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 21.3. Eastern Europe Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 21.4. Eastern Europe Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22. Russia Data Warehousing Market
- 22.1. Russia Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 22.2. Russia Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 22.3. Russia Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23. North America Data Warehousing Market
- 23.1. North America Data Warehousing Market Overview
- 23.2. North America Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 23.3. North America Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 23.4. North America Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24. USA Data Warehousing Market
- 24.1. USA Data Warehousing Market Overview
- 24.2. USA Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 24.3. USA Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 24.4. USA Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25. Canada Data Warehousing Market
- 25.1. Canada Data Warehousing Market Overview
- 25.2. Canada Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 25.3. Canada Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 25.4. Canada Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26. South America Data Warehousing Market
- 26.1. South America Data Warehousing Market Overview
- 26.2. South America Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 26.3. South America Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 26.4. South America Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27. Brazil Data Warehousing Market
- 27.1. Brazil Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 27.2. Brazil Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 27.3. Brazil Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28. Middle East Data Warehousing Market
- 28.1. Middle East Data Warehousing Market Overview
- 28.2. Middle East Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 28.3. Middle East Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 28.4. Middle East Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29. Africa Data Warehousing Market
- 29.1. Africa Data Warehousing Market Overview
- 29.2. Africa Data Warehousing Market, Segmentation By Offering Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 29.3. Africa Data Warehousing Market, Segmentation By Data Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
- 29.4. Africa Data Warehousing Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
30. Data Warehousing Market Competitive Landscape And Company Profiles
- 30.1. Data Warehousing Market Competitive Landscape
- 30.2. Data Warehousing Market Company Profiles
- 30.2.1. Actian Corporation Overview, Products and Services, Strategy and Financial Analysis
- 30.2.2. Cloudera Inc. Overview, Products and Services, Strategy and Financial Analysis
- 30.2.3. Amazon. com Inc. Overview, Products and Services, Strategy and Financial Analysis
- 30.2.4. IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
- 30.2.5. Google LLC Overview, Products and Services, Strategy and Financial Analysis
31. Data Warehousing Market Other Major And Innovative Companies
- 31.1. Oracle Corporation
- 31.2. Microsoft Corporation
- 31.3. Snowflake Inc.
- 31.4. SAP SE
- 31.5. Amazon Web Services
- 31.6. 1010DATA
- 31.7. AtScale Inc.
- 31.8. Dell Technologies Inc.
- 31.9. Informatica LLC
- 31.10. Micro Focus International plc
- 31.11. MarkLogic Corporation
- 31.12. Panoply Ltd.
- 31.13. Hewlett Packard Enterprise Company
- 31.14. VMware Inc.
- 31.15. Huawei Technologies Co. Ltd.
32. Global Data Warehousing Market Competitive Benchmarking And Dashboard
33. Key Mergers And Acquisitions In The Data Warehousing Market
34. Recent Developments In The Data Warehousing Market
35. Data Warehousing Market High Potential Countries, Segments and Strategies
- 35.1 Data Warehousing Market In 2029 - Countries Offering Most New Opportunities
- 35.2 Data Warehousing Market In 2029 - Segments Offering Most New Opportunities
- 35.3 Data Warehousing Market In 2029 - Growth Strategies
- 35.3.1 Market Trend Based Strategies
- 35.3.2 Competitor Strategies
36. Appendix
- 36.1. Abbreviations
- 36.2. Currencies
- 36.3. Historic And Forecast Inflation Rates
- 36.4. Research Inquiries
- 36.5. The Business Research Company
- 36.6. Copyright And Disclaimer
