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市场调查报告书

资料仓储即服务 (DWaaS)的全球市场预测 2023年:客户分析,风险、遵守管理,资产管理,供应链管理,诈欺检测、威胁管理

Data Warehouse as a Service (DWaaS) Market by Application (Customer Analytics, Asset Management, Fraud Detection & Threat Management), Usage, Industry Vertical, Deployment Model, Type (EDWaaS & ODS) & Organization Size - Global Forecast to 2023

出版商 MarketsandMarkets 商品编码 775877
出版日期 内容资讯 英文 167 Pages
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资料仓储即服务 (DWaaS)的全球市场预测 2023年:客户分析,风险、遵守管理,资产管理,供应链管理,诈欺检测、威胁管理 Data Warehouse as a Service (DWaaS) Market by Application (Customer Analytics, Asset Management, Fraud Detection & Threat Management), Usage, Industry Vertical, Deployment Model, Type (EDWaaS & ODS) & Organization Size - Global Forecast to 2023
出版日期: 2019年01月17日内容资讯: 英文 167 Pages
简介

全球资料仓储即服务 (DWaaS) 市场,预计从2018年的12亿美元到2023年扩大到34亿美元,在预测期间中的年复合成长率预计为23.8%。促进该市场成长的主要原因,是实行先进分析的列式资料仓储的使用扩大伴随的私有云端的引进扩大等。可是,由于熟练人力资源不足及不愿意从传统ETL工具转移到云端等,妨碍市场成长。

本报告涵括全球资料仓储即服务 (DWaaS) 市场,概括市场概要,市场发展促进、阻碍因素,各市场区隔、各地区市场现况与展望相关调查分析,并汇整竞争环境,主要企业的简介等资讯。

第1章 简介

第2章 调查手法

第3章 摘要整理

第4章 重要考察

  • 资料仓储即服务 (DWaaS) 市场上富有魅力的机会
  • 资料仓储即服务 (DWaaS) 市场:各地区的市场占有率
  • 资料仓储即服务 (DWaaS) 市场:各部署模式
  • 欧洲的资料仓储即服务 (DWaaS) 市场:3大用途、各国

第5章 市场概要、产业趋势

  • 简介
  • 市场动态
    • 促进要素
    • 阻碍要素
    • 机会
    • 课题
  • 产业趋势
    • 资料仓储即服务 (DWaaS) 市场:利用案例
    • 法规
    • 演进

第6章 资料仓储即服务 (DWaaS) 市场:各类型

  • 简介
  • 企业资料仓储即服务 (DWaaS)
  • 操作资料储存

第7章 资料仓储即服务 (DWaaS) 市场:各利用法

  • 简介
  • 分析
  • 汇报
  • 资料探勘

第8章 资料仓储即服务 (DWaaS) 市场:各部署模式

  • 简介
  • 公共云端
  • 私有云端
  • 混合云端

第9章 资料仓储即服务 (DWaaS) 市场:各组织规模

  • 简介
  • 中小企业
  • 大企业

第10章 资料仓储即服务 (DWaaS) 市场:各用途

  • 简介
  • 客户分析
  • 风险、遵守管理
  • 资产管理
  • 供应链管理
  • 诈欺检测、威胁管理
  • 其他

第11章 资料仓储即服务 (DWaaS) 市场:各垂直产业

  • 简介
  • 银行,金融服务及保险 (BFSI)
  • 零售、电子商务
  • 医疗、医药品
  • 通讯、IT
  • 政府、公共部门
  • 制造业
  • 媒体、娱乐
  • 旅游、饭店
  • 其他

第12章 资料仓储即服务 (DWaaS) 市场:各地区

  • 简介
  • 北美
  • 欧洲
  • 亚太地区
  • 中东、非洲
  • 南美

第13章 竞争情形

  • 概要
  • 竞争模式
  • 有潜力的企业

第14章 企业简介

  • AWS
  • IBM
  • MICROSOFT
  • GOOGLE
  • ORACLE
  • SAP
  • MICRO FOCUS
  • 1010DATA
  • CLOUDERA
  • SNOWFLAKE
  • PIVOTAL
  • YELLOWBRICK
  • HORTONWORKS
  • TERADATA CORPORATION
  • VEEVA SYSTEMS
  • ACCUR8 SOFTWARE
  • ACTIAN
  • ATSCALE
  • LUX
  • MARKLOGIC
  • MEMSQL
  • NETAVIS SOFTWARE
  • PANOPLY
  • SOLVER
  • TRANSWARP

第15章 附录

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目录
Product Code: TC 6844

"Secured management of business data and applications are some of the key factors driving the growth of the market"

MarketsandMarkets estimates the global data warehouse as a service market to grow from USD 1.2 billion in 2018 to USD 3.4 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 23.8% during the forecast period. The key factors driving the data warehouse as a service market include rising adoption of private cloud coupled with increasing use of column-oriented data warehouse to perform advanced analytics. However, lack of skilled personnel and reluctance to shift from traditional ETL tools to cloud are hindering the growth of the market.

Cloud offering the major cost-effective environment for analytics is a factor driving the adoption of data storage

Organizations have been using data analytics to build strategies for maximizing profits. In addition to increased accessibility and utility, the management of data stored over the cloud requires less expenditure and the user can focus more on the product and staff. The small and medium-sized organizations are focusing on its adoption to compete with the large organizations and gain more access to the data with minimum investments.

Digital transformation to build a digital ecosystem to enable seamless integration among data delivering greater business value is accelerating the growth of hybrid DWaaS

Although the cloud-based services are cost effective, their initial value lies in empowering business transformation. Hybrid deployment has witnessed increased adoption owing to its flexibility to customize solutions as per an organization's dynamic requirements, and data security and privacy. Also, increased user and resource mobility, ongoing migrations of applications over the cloud, and the emergence of more sophisticated threats are leading organizations to adopt hybrid cloud solutions.

Growing cloud adoption coupled with expanding services by vendors such as Google and Amazon to drive APAC (Asia Pacific) data warehouse as a service market during the forecast period

China is one of the developing economies, which have undergone a tremendous transformation in the areas of manufacturing, telecommunication, and IT. The country has always set a benchmark for providing affordable solutions, which are exported to various parts of the world. Being the most affordable market with a reliable workforce, the data warehouse as a service vendors have shown their interest in establishing the market in this country. Other countries, such as Japan, Singapore, and India, are leading in such adoption, as the vendors are expanding their presence into this region by entering into partnerships with different technology players or distributors to develop their sales channels.

In-depth interviews were conducted with the Chief Executive Officers (CEOs), marketing directors, other innovation and technology directors, and executives from various key organizations operating in the data warehouse as a service market.

  • By Company: Tier 1: 20%, Tier 2: 55%, and Tier 3: 25%
  • By Designation: C-Level: 50%, Director Level: 25%, and Others: 25%
  • By Region: North America: 60%, Europe: 20%, APAC: 10%, and RoW: 10%

The major vendors offering data warehouse as a service globally include: IBM (US), AWS (US), Google (US), Microsoft (US), Snowflake (US), Teradata (US), SAP (Germany), Micro Focus (UK), Hortonworks (US), Cloudera (US), Actian (US), 1010data (US), Pivotal Software (US), Solver (US), Yellowbrick (US), Panoply (US), MarkLogic (US), MemSQL (US), Netavis (Austria), LUX Fund Technology & Solutions (US), Transwarp Technology (China), Accur8 Software (US), Atscale (US), and Veeva (US). The study includes in-depth competitive analysis of these key players in the data warehouse as a service market with their company profiles, recent developments, and key market strategies.

Research Coverage:

The data warehouse as a service market revenue is primarily classified into revenues from solutions, tools, and platforms. The revenue is associated with software and platform offerings associated with support and maintenance, training and education, and consulting services. Other segmentation comprises type, usage, application, deployment model, organization size, industry vertical, and region.

Key Benefits of Buying the Report:

The report would help the market leaders/new entrants in this market with the information on the closest approximations of the revenue numbers for the overall data warehouse as a service market and the subsegments. This report would help stakeholders understand the competitive landscape and gain insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with the information on the key market drivers, restraints, challenges, and opportunities.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 OBJECTIVES OF THE STUDY
  • 1.2 MARKET DEFINITION
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKET COVERED
    • 1.3.2 REGIONS COVERED
  • 1.4 YEARS CONSIDERED FOR THE STUDY
  • 1.5 CURRENCY CONSIDERED
  • 1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
      • 2.1.1.1 Key data from secondary sources
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakup of primaries
      • 2.1.2.2 Key industry insights
  • 2.2 MARKET BREAKUP AND DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • 2.3.1 BOTTOM-UP APPROACH
    • 2.3.2 TOP-DOWN APPROACH
  • 2.4 MARKET FORECAST
  • 2.5 RESEARCH ASSUMPTIONS AND LIMITATIONS
  • 2.6 LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES IN THE DATA WAREHOUSE AS A SERVICE MARKET
  • 4.2 DATA WAREHOUSE AS A SERVICE MARKET: MARKET SHARE, BY REGION
  • 4.3 DATA WAREHOUSE AS A SERVICE MARKET, DEPLOYMENT MODEL
  • 4.4 DATA WAREHOUSE AS A SERVICE MARKET IN EUROPE:

TOP 3 APPLICATIONS AND COUNTRY 37

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Growing adoption of private cloud
      • 5.2.1.2 Increasing demand for column-oriented data warehouse solutions to perform advanced analytics
      • 5.2.1.3 Rapid growth in data volumes
      • 5.2.1.4 Increasing need to comply with regulations and standards
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Reluctance to shift from traditional ETL tools to cloud
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Growing application of AI in data warehouse
      • 5.2.3.2 Growing demand from SMEs
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Lack of skilled personnel and cloud data security
  • 5.3 INDUSTRY TRENDS
    • 5.3.1 DATA WAREHOUSE AS A SERVICE MARKET: USE CASES
      • 5.3.1.1 USE CASE 1: Increased speed of operation with cost reduction
      • 5.3.1.2 USE CASE 2: Optimize frauds related to tax reductions
      • 5.3.1.3 USE CASE 3: Enhancing the speed of data transfer and automation over the cloud
    • 5.3.2 REGULATIONS
      • 5.3.2.1 HIPAA of 1996
      • 5.3.2.2 EU GDPR
      • 5.3.2.3 CSCC
      • 5.3.2.4 SOX Act of 2002
    • 5.3.3 EVOLUTION

6 DATA WAREHOUSE AS A SERVICE MARKET, BY TYPE

  • 6.1 INTRODUCTION
  • 6.2 ENTERPRISE DATA WAREHOUSE AS A SERVICE
    • 6.2.1 ORGANIZATIONAL NEED TO CONSOLIDATE AND OPERATE DATA AND PROVIDE ACCESS TO THE RIGHT USERS
  • 6.3 OPERATIONAL DATA STORAGE
    • 6.3.1 BENEFIT OF COMPLEMENTING AN ORGANIZATION'S CURRENT AND FUTURE REQUIREMENTS

7 DATA WAREHOUSE AS A SERVICE MARKET, BY USAGE

  • 7.1 INTRODUCTION
  • 7.2 ANALYTICS
    • 7.2.1 INCREASING DEMAND FOR HIGHER DATA QUALITY AND THE NEED TO DELIVER SOUND DECISION-MAKING SKILLS
  • 7.3 REPORTING
    • 7.3.1 THE INCREASING NEED TO GENERATE REPORTS BASED ON ONLINE AND OFFLINE DATA

  • 7.4 DATA MINING
    • 7.4.1 DEMAND FOR PROCESSES TO OPTIMIZE OUTCOMES, AUTOMATE PROCESSES, AND EXTRACT IMPACTFUL INSIGHTS

8 DATA WAREHOUSE AS A SERVICE MARKET, BY DEPLOYMENT MODEL

  • 8.1 INTRODUCTION
  • 8.2 PUBLIC CLOUD
    • 8.2.1 SCALABILITY, FLEXIBILITY, AND RELIABILITY BENEFITS
  • 8.3 PRIVATE CLOUD
    • 8.3.1 NEED FOR HIGHLY SECURE OPERATING ENVIRONMENT
  • 8.4 HYBRID CLOUD
    • 8.4.1 VARYING BUSINESS DEMANDS TO ADDRESS THREATS AND MANAGE COMPLEX WORKLOADS

9 DATA WAREHOUSE AS A SERVICE MARKET, BY ORGANIZATION SIZE

  • 9.1 INTRODUCTION
  • 9.2 SMALL AND MEDIUM-SIZED ENTERPRISES
    • 9.2.1 NEED FOR COST-EFFECTIVE SOLUTIONS TO MEET BUDGETS AND LEAD TO BUSINESS GROWTH
  • 9.3 LARGE ENTERPRISES
    • 9.3.1 NEED TO MANAGE HUGE HEAPS OF ACCUMULATED DATA OVER A PUBLIC OR PRIVATE CLOUD

10 DATA WAREHOUSE AS A SERVICE MARKET, BY APPLICATION

  • 10.1 INTRODUCTION
  • 10.2 CUSTOMER ANALYTICS
    • 10.2.1 NEED FOR COMPANIES TO REDUCE THEIR BUSINESS EXPENDITURE
  • 10.3 RISK AND COMPLIANCE MANAGEMENT
    • 10.3.1 NEED TO ENSURE FASTER TIME-TO-ANALYSIS IN RISK AND COMPLIANCE DATA
  • 10.4 ASSET MANAGEMENT
    • 10.4.1 INCREASING NEED FOR AUTOMATION IN MULTIPLE INDUSTRIES
  • 10.5 SUPPLY CHAIN MANAGEMENT
    • 10.5.1 NEED FOR DEMAND FORECASTING FOR BETTER INVENTORY, PRODUCTION, AND DISTRIBUTION MANAGEMENT
  • 10.6 FRAUD DETECTION AND THREAT MANAGEMENT
    • 10.6.1 INCREASING NEED TO DETECT AND IDENTIFY FRAUDULENT ACTIVITIES IN CUSTOMER ACCOUNTS
  • 10.7 OTHERS

11 DATA WAREHOUSE AS A SERVICE MARKET, BY INDUSTRY VERTICAL

  • 11.1 INTRODUCTION
  • 11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
    • 11.2.1 MASSIVE PARALLEL PROCESSING WITH ADVANCED CLOUD DATA WAREHOUSE TO ENABLE ORGANIZATIONS WITH BETTER ACTIVITY MONITORING
  • 11.3 RETAIL AND ECOMMERCE
    • 11.3.1 THE NEED TO UNDERSTAND REAL-TIME CUSTOMERS' BEHAVIOR FOR IMPROVING DECISION-MAKING SKILLS
  • 11.4 HEALTHCARE AND PHARMACEUTICALS
    • 11.4.1 LEVERAGING TECHNOLOGIES TO MANAGE PATIENT-RELATED CRITICAL INFORMATION
  • 11.5 TELECOMMUNICATIONS AND IT
    • 11.5.1 DATA MONETIZATION COMPELS HIGH-VOLUME DATA BUSINESSES TO BENEFIT FROM USING CLOUD-BASED SOLUTIONS
  • 11.6 GOVERNMENT AND PUBLIC SECTOR
    • 11.6.1 THE NEED TO SEARCH AND ANALYZE REAL-TIME TERRORIST DATA AND THREATS
  • 11.7 MANUFACTURING
    • 11.7.1 GRADUAL USE OF CLOUD-BASED TECHNOLOGIES TO ANALYZE CUSTOMERS' BEHAVIOR
  • 11.8 MEDIA AND ENTERTAINMENT
    • 11.8.1 INCREASING NUMBER OF MOBILE APPS AND CUSTOMER BASE DEMAND FASTER DATA PROCESSING SOLUTIONS
  • 11.9 TRAVEL AND HOSPITALITY
    • 11.9.1 THE NEED TO MONITOR AND MITIGATE THE IMPACT OF TRAFFIC ON COMMUTERS
  • 11.10 OTHERS

12 DATA WAREHOUSE AS A SERVICE MARKET, BY REGION

  • 12.1 INTRODUCTION
  • 12.2 NORTH AMERICA
    • 12.2.1 UNITED STATES
      • 12.2.1.1 The presence of leading global players and early adoption of cloud solutions
    • 12.2.2 CANADA
      • 12.2.2.1 Growing investments in data management solutions for better decision-making
  • 12.3 EUROPE
    • 12.3.1 UNITED KINGDOM
      • 12.3.1.1 Strategic partnerships and supportive government mandates to drive business models in data-driven industries
    • 12.3.2 GERMANY
      • 12.3.2.1 Numerous industry sectors, such as pharmaceuticals and healthcare, to adopt IoT and big data
    • 12.3.3 FRANCE
      • 12.3.3.1 Significant investments in AI and big data
    • 12.3.4 REST OF EUROPE
  • 12.4 ASIA PACIFIC
    • 12.4.1 JAPAN
      • 12.4.1.1 Increasing investments in new technologies and rising demand to deal with huge data volumes
    • 12.4.2 CHINA
      • 12.4.2.1 Increasing digitalization and regulatory mandates at the forefront
    • 12.4.3 SINGAPORE
      • 12.4.3.1 Strategic partnerships and acquisitions by companies
    • 12.4.4 INDIA
      • 12.4.4.1 Increasing number of collaborations between global and local players to offer best-in-class customer experience
    • 12.4.5 REST OF ASIA PACIFIC
  • 12.5 MIDDLE EAST AND AFRICA
    • 12.5.1 MIDDLE EAST
      • 12.5.1.1 UAE, Qatar, and Saudi Arabia to witness higher adoption of cloud-based IoT solutions
    • 12.5.2 AFRICA
      • 12.5.2.1 Supportive government policies
  • 12.6 LATIN AMERICA
    • 12.6.1 BRAZIL
      • 12.6.1.1 Growth in smart cities and IoT technologies to generate large volumes of data
    • 12.6.2 MEXICO
      • 12.6.2.1 The trend adopting data management solutions on the rise
    • 12.6.3 REST OF LATIN AMERICA

13 COMPETITIVE LANDSCAPE

  • 13.1 OVERVIEW
  • 13.2 COMPETITIVE SCENARIO
    • 13.2.1 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS
    • 13.2.2 PARTNERSHIPS AND COLLABORATIONS
    • 13.2.3 BUSINESS EXPANSIONS
  • 13.3 DWAAS MARKET: PROMINENT PLAYERS

14 COMPANY PROFILES

(Business Overview, Products/ Services/ Solutions/ Tools/ Platforms Offered, Recent Developments, SWOT Analysis, and MnM View)*

  • 14.1 AWS
  • 14.2 IBM
  • 14.3 MICROSOFT
  • 14.4 GOOGLE
  • 14.5 ORACLE
  • 14.6 SAP
  • 14.7 MICRO FOCUS
  • 14.8 1010DATA
  • 14.9 CLOUDERA
  • 14.10 SNOWFLAKE
  • 14.11 PIVOTAL
  • 14.12 YELLOWBRICK
  • 14.13 HORTONWORKS
  • 14.14 TERADATA CORPORATION
  • 14.15 VEEVA SYSTEMS
  • 14.16 ACCUR8 SOFTWARE
  • 14.17 ACTIAN
  • 14.18 ATSCALE
  • 14.19 LUX
  • 14.20 MARKLOGIC
  • 14.21 MEMSQL
  • 14.22 NETAVIS SOFTWARE
  • 14.23 PANOPLY
  • 14.24 SOLVER
  • 14.25 TRANSWARP

Details on Business Overview, Products/ Services/ Solutions/ Tools/ Platforms Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.

15 APPENDIX

  • 15.1 INSIGHTS FROM INDUSTRY EXPERTS
  • 15.2 DISCUSSION GUIDE
  • 15.3 KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 15.4 AVAILABLE CUSTOMIZATION
  • 15.5 RELATED REPORTS
  • 15.6 AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1: UNITED STATES DOLLAR EXCHANGE RATE, 2014-2017
  • TABLE 2: FACTOR ANALYSIS
  • TABLE 3: DATA WAREHOUSE AS A SERVICE MARKET SIZE AND GROWTH RATE, 2016-2023 (USD MILLION, Y-O-Y %)
  • TABLE 4: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY TYPE, 2016-2023 (USD MILLION)
  • TABLE 5: ENTERPRISE DATA WAREHOUSE AS A SERVICE: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 6: OPERATIONAL DATA STORAGE: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 7: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY USAGE, 2016-2023 (USD MILLION)
  • TABLE 8: ANALYTICS: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 9: REPORTING: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 10: DATA MINING: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 11: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 12: PUBLIC CLOUD: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 13: PRIVATE CLOUD: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 14: HYBRID CLOUD: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 15: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 16: SMALL AND MEDIUM-SIZED ENTERPRISES: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 17: LARGE ENTERPRISES: DATA WAREHOUSE-AS-SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 18: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 19: CUSTOMER ANALYTICS: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 20: RISK AND COMPLIANCE MANAGEMENT: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 21: ASSET MANAGEMENT: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 22: SUPPLY CHAIN MANAGEMENT: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 23: FRAUD DETECTION AND THREAT MANAGEMENT: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 24: OTHERS: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 25: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY INDUSTRY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 26: BANKING, FINANCIAL SERVICES, AND INSURANCE: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 27: RETAIL AND ECOMMERCE: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 28: HEALTHCARE AND PHARMACEUTICALS: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 29: TELECOMMUNICATIONS AND IT: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 30: GOVERNMENT AND PUBLIC SECTOR: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 31: MANUFACTURING: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 32: MEDIA AND ENTERTAINMENT: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 33: TRAVEL AND HOSPITALITY: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 34: OTHERS: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 35: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 36: NORTH AMERICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 37: NORTH AMERICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY TYPE, 2016-2023 (USD MILLION)
  • TABLE 38: NORTH AMERICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY USAGE, 2016-2023 (USD MILLION)
  • TABLE 39: NORTH AMERICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 40: NORTH AMERICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 41: NORTH AMERICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY INDUSTRY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 42: NORTH AMERICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY COUNTRY, 2016-2023 (USD MILLION)
  • TABLE 43: EUROPE: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 44: EUROPE: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY TYPE, 2016-2023 (USD MILLION)
  • TABLE 45: EUROPE: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY USAGE, 2016-2023 (USD MILLION)
  • TABLE 46: EUROPE: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 47: EUROPE: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 48: EUROPE: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY INDUSTRY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 49: EUROPE: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY COUNTRY, 2016-2023 (USD MILLION)
  • TABLE 50: ASIA PACIFIC: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 51: ASIA PACIFIC: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY TYPE, 2016-2023 (USD MILLION)
  • TABLE 52: ASIA PACIFIC: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY USAGE, 2016-2023 (USD MILLION)
  • TABLE 53: ASIA PACIFIC: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 54: ASIA PACIFIC: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 55: ASIA PACIFIC: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY INDUSTRY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 56: ASIA PACIFIC: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY COUNTRY, 2016-2023 (USD MILLION)
  • TABLE 57: MIDDLE EAST AND AFRICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 58: MIDDLE EAST AND AFRICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY TYPE, 2016-2023 (USD MILLION)
  • TABLE 59: MIDDLE EAST AND AFRICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY USAGE, 2016-2023 (USD MILLION)
  • TABLE 60: MIDDLE EAST AND AFRICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 61: MIDDLE EAST AND AFRICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 62: MIDDLE EAST AND AFRICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY INDUSTRY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 63: MIDDLE EAST AND AFRICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 64: LATIN AMERICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 65: LATIN AMERICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY TYPE, 2016-2023 (USD MILLION)
  • TABLE 66: LATIN AMERICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY USAGE, 2016-2023 (USD MILLION)
  • TABLE 67: LATIN AMERICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY DEPLOYMENT MODEL, 2016-2023 (USD MILLION)
  • TABLE 68: LATIN AMERICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 69: LATIN AMERICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY INDUSTRY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 70: LATIN AMERICA: DATA WAREHOUSE AS A SERVICE MARKET SIZE, BY COUNTRY, 2016-2023 (USD MILLION)
  • TABLE 71: NEW PRODUCT LAUNCHES AND PRODUCT ENHANCEMENTS, 2018
  • TABLE 72: PARTNERSHIPS AND COLLABORATIONS, 2018
  • TABLE 73: BUSINESS EXPANSIONS, 2016-2018
  • TABLE 74: KEY PLAYERS IN THE DATA WAREHOUSE AS A SERVICE MARKET

LIST OF FIGURES

  • FIGURE 1: DATA WAREHOUSE AS A SERVICE MARKET: RESEARCH DESIGN
  • FIGURE 2: BREAKUP OF PRIMARY PARTICIPANTS' PROFILES: BY COMPANY, DESIGNATION, AND REGION
  • FIGURE 3: DATA WAREHOUSE AS A SERVICE MARKET: BOTTOM-UP APPROACH
  • FIGURE 4: DATA WAREHOUSE AS A SERVICE MARKET: TOP-DOWN APPROACH
  • FIGURE 5: DATA WAREHOUSE AS A SERVICE MARKET SNAPSHOT, BY REGION, 2018 VS. 2023
  • FIGURE 6: DATA WAREHOUSE AS A SERVICE MARKET SNAPSHOT, BY TYPE, 2018 VS. 2023
  • FIGURE 7: DATA WAREHOUSE AS A SERVICE MARKET SNAPSHOT, BY DEPLOYMENT MODEL, 2018 VS. 2023
  • FIGURE 8: DATA WAREHOUSE AS A SERVICE MARKET SNAPSHOT, BY USAGE, 2018 VS. 2023
  • FIGURE 9: DATA WAREHOUSE AS A SERVICE MARKET SNAPSHOT, BY APPLICATION, 2018 VS. 2023
  • FIGURE 10: DATA WAREHOUSE AS A SERVICE MARKET SNAPSHOT, BY INDUSTRY VERTICAL, 2018-2023
  • FIGURE 11: RAPID GROWTH IN DATA VOLUMES TO DRIVE THE MARKET
  • FIGURE 12: NORTH AMERICA TO ACCOUNT FOR THE HIGHEST MARKET SHARE IN 2018
  • FIGURE 13: PRIVATE CLOUD SEGMENT TO DOMINATE THE MARKET IN 2018
  • FIGURE 14: CUSTOMER ANALYTICS APPLICATION AND GERMANY TO HOLD THE HIGHEST MARKET SHARES IN 2018
  • FIGURE 15: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: DATA WAREHOUSE AS A SERVICE MARKET
  • FIGURE 16: DATA WAREHOUSE AS A SERVICE EVOLUTION
  • FIGURE 17: OPERATIONAL DATA STORE SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 18: ANALYTICS SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 19: ON-PREMISES DEPLOYMENT MODEL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 20: SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 21: SUPPLY CHAIN MANAGEMENT APPLICATION TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 22: HEALTHCARE AND PHARMACEUTICALS INDUSTRY VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 23: ASIA PACIFIC TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 24: NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 25: ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 26: KEY DEVELOPMENTS BY THE LEADING PLAYERS IN THE DATA WAREHOUSE AS A SERVICE MARKET, 2017-2018
  • FIGURE 27: AWS: COMPANY SNAPSHOT
  • FIGURE 28: SWOT ANALYSIS: AWS
  • FIGURE 29: IBM: COMPANY SNAPSHOT
  • FIGURE 30: SWOT ANALYSIS: IBM
  • FIGURE 31: MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 32: SWOT ANALYSIS: MICROSOFT
  • FIGURE 33: GOOGLE: COMPANY SNAPSHOT
  • FIGURE 34: SWOT ANALYSIS: GOOGLE
  • FIGURE 35: ORACLE: COMPANY SNAPSHOT
  • FIGURE 36: SWOT ANALYSIS: ORACLE
  • FIGURE 37: SAP: COMPANY SNAPSHOT
  • FIGURE 38: SWOT ANALYSIS: SAP
  • FIGURE 39: MICRO FOCUS: COMPANY SNAPSHOT
  • FIGURE 40: SWOT ANALYSIS: MICRO FOCUS
  • FIGURE 41: SWOT ANALYSIS: 1010DATA
  • FIGURE 42: CLOUDERA: COMPANY SNAPSHOT
  • FIGURE 43: PIVOTAL: COMPANY SNAPSHOT
  • FIGURE 44: HORTONWORKS: COMPANY SNAPSHOT
  • FIGURE 45: TERADATA CORPORATION: COMPANY SNAPSHOT
  • FIGURE 46: VEEVA SYSTEMS: COMPANY SNAPSHOT
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