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表紙
市場調查報告書

DaaS(數據即服務)市場:數據應用(公司、行業、公共、政府)/服務:2021-2026

Data as a Service Market by Enterprise, Industrial, Public, and Government Data Applications and Services 2021 - 2026

出版商 Mind Commerce 商品編碼 1021306
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
價格
DaaS(數據即服務)市場:數據應用(公司、行業、公共、政府)/服務:2021-2026 Data as a Service Market by Enterprise, Industrial, Public, and Government Data Applications and Services 2021 - 2026
出版日期: 2021年07月29日內容資訊: 英文
簡介

DaaS(數據即服務)是一種將數據轉化為有用信息的服務模型。 DaaS 是基於雲計算的服務模型的一部分,稱為一切即服務 (XaaS)。

本報告評估 DaaS 技術、公司、戰略和解決方案。預測包括按部門、數據收集、來源和結構對 2021 年至 2026 年的全球和區域預測。

目錄

第 1 章執行摘要

第 2 章 DaaS 技術

  • 雲端計算和 DaaS
  • 數據庫方法和解決方案
  • DaaS 和 XaaS 生態系統
  • 開放數據中心聯盟
  • 市場規模:按職業

第 3 章 DaaS 市場優勢、用例、框架

  • DaaS 的優勢
  • 與 DaaS 相關的評論
  • 用例
  • DaaS 定價模型
  • 用於 DaaS 的工具

第 4 章 DaaS 市場

  • 市場概覽
  • 供應商分析和展望
  • 推動/抑制DaaS市場的因素
  • 採用 DaaS 的障礙和挑戰
  • 市場份額和地域影響
  • DaaS 供應商分析
    • 公司戰略分析
    • 1010data
    • 3i Data Scraping
    • Accenture PLC
    • Actifio
    • Acxiom Corporation
    • Alteryx Ltd.
    • Amazon Web Services, Inc.
    • Apaleo Marketplace
    • Appier
    • AtScale Inc.
    • Bloomberg Finance L.P.
    • Cazena Inc
    • Cisco Systems Inc.
    • ClickFox
    • Column Technologies
    • comScore Inc.
    • Continental vAnalytics
    • Coriolis Technologies
    • Corporate360
    • Crunchbase Inc.
    • CTERA
    • Datameer
    • Datasift Inc.
    • DataStax Inc.
    • Dawex Systems
    • DC Frontiers Pte. Ltd.
    • Dell EMC
    • Demandbase (Whotoo)
    • Denodo Technologies
    • Dow Jones & Company, Inc.
    • Dremio
    • Equifax, Inc.
    • ESRI, Inc.
    • Experian
    • Facebook Inc.
    • Factiva
    • FICO
    • GE Predix
    • getsix Group
    • GigaSpaces
    • Google Inc.
    • Guavus Inc.
    • Hewlett Packard Enterprise
    • HG Data Company
    • Hitachi Data Systems
    • Hoovers
    • Hortonworks
    • IBM Corporation
    • IHS Inc.
    • Infochimps
    • Infogix Inc.
    • Informatica Corporation
    • Information Builders Inc.
    • Information Resources, Inc.
    • Infosys
    • Intel
    • Intercontinental Exchange,Inc.
    • Intuit
    • IOTA Foundation
    • IQM Corporation
    • K2View
    • KBC Global
    • LexisNexis Group
    • LinkedIn Corporation
    • MapR Technologies Inc.
    • MariaDB
    • MasterCard Advisors
    • Microsoft Corporation
    • Mighty AI, Inc.
    • Mindtree
    • Mobilewalla
    • Moody's Corporation
    • Morningstar, Inc.
    • Nielsen Holdings Plc
    • Opera Solutions LLC
    • Optum Inc.
    • Oracle Corporation
    • Pentaho
    • PlaceIQ Inc.
    • Protel I/O
    • Qlik Technologies Inc.
    • Qubole
    • Quest Software
    • Rackspace
    • Red Hat
    • Salesforce.com
    • SAP SE
    • SAS Institute
    • SiteMinder Exchange
    • SlamData
    • SMARTe Inc.
    • SnapLogic
    • Snapshot
    • Snowflake Computing
    • Splunk
    • Talend
    • Teradata
    • Terbine
    • Terracotta
    • The Dun & Bradstreet Corporation
    • The Weather Company LLC
    • Thomson Reuters Corp.
    • ThoughtSpot Inc.
    • TIBCO Software Inc.
    • Tresata
    • Twitter, Inc.
    • Urban Mapping
    • Wisers Information Limited
    • Wolters Kluwer N.V.
    • Workday
    • Xignite
    • Zerto

第 5 章 DaaS 策略

  • 總體戰略
  • 新興市場機會策略
  • 服務提供商策略
  • 基礎設施提供商戰略
  • 應用開發者策略

第 6 章 DaaS 應用

  • 商業智能
  • 開發環境
  • 驗證/批准
  • 報告分析
  • 用於醫療用途的 DaaS
  • DaaS 和可穿戴技術
  • 面向政府部門的 DaaS
  • 用於媒體娛樂的 DaaS
  • 用於通信的 DaaS
  • 保險 DaaS
  • 公用事業和能源領域的 DaaS
  • 醫藥 DaaS
  • 金融服務 DaaS

第 7 章 DaaS 的市場展望和未來

  • 安全問題
  • 雲趨勢
  • 公司對獨特數據和通信的利用
  • 數據聯合出現在 DaaS 中

第 8 章DaaS市場分析與預測

  • DaaS 市場:按部門-企業、公共、政府
  • DaaS 市場:按源機器/非機器數據
  • DaaS 市場:按數據收集-物聯網/非物聯網數據
  • DaaS 市場:通過託管類型 - 私有、公共、混合
  • DaaS 市場:按價格模型
  • DaaS 市場:按服務
  • DaaS 市場:按行業

第 9 章區域 DaaS 市場分析與預測

  • 北美 DaaS 市場
  • 南美 DaaS 市場
  • 西歐 DaaS 市場
  • 中歐和東歐的 DaaS 市場
  • 亞太地區 DaaS 市場
  • 中東/非洲 DaaS 市場

第 10 章結論/建議

第 11 章附錄

目錄

Overview:

This Data as a Service market report evaluates the technologies, companies, strategies, and solutions for DaaS. The report assesses business opportunities for enterprise use of own data, others' data, and a combination of both. The report also analyzes opportunities for enterprises to monetize their own data through various third-party DaaS offerings. The report evaluates opportunities for DaaS in major industry verticals as well as the future outlook for emerging data monetization. Forecasts include global and regional projections by Sector, Data Collection, Source, and Structure from 2021 to 2026.

Select Report Findings:

  • North America and Western Europe represent the two largest regional markets for DaaS
  • IoT DaaS is growing nearly three times as fast as non-IoT DaaS, with much of its streaming data
  • Structured data market remains greater than unstructured, but the latter will overtake the former
  • Machine-sourced data is growing twice as fast as non-machine data, largely due to IoT apps and services
  • Analytics as a Service is the largest opportunity and also one of the fastest-growing segments through 2026
  • The DaaS market will receive a huge boost in both usage and revenue from edge computing and real-time data analytics
  • Corporate data syndication will become a major driver of DaaS growth, but data security and privacy challenges will limit the expansion

Data by itself is useless. Data needs to be managed and presented in a manner that is useful as information. Data as a Service (DaaS) represents a service model in which data is transformed into useful information. DaaS is one part of the larger Everything as a Service (XaaS) cloud computing-based services model, including the traditional three horizontals of SaaS (Software as a Service), PaaS (Platform as a Service), and IaaS (Infrastructure as a Service). It intersects with all three and derives value from a number of different horizontals and verticals.

There is considerable competition in the market, happening at a variety of different levels, with features highly variable between vendors. This causes confusion for the enterprise and causes them to often choose two or more providers. Barriers to enterprise adoption of the DaaS model include security concerns, reliability, regulation, vendor lock-in/interoperability, IT management overhead, and other costs.

However, the reasons for implementing DaaS far outweigh the concerns, especially when it comes to IoT data, which must have flexible and scalable platforms for storage, processing, and distribution. Accordingly, enterprise organizations are five times more likely to implement DaaS for machine-generated IoT data than for static data located in corporate repositories or data lakes. The DaaS market must support both static and dynamic data, but the latter will benefit significantly more, especially as edge computing is implemented and real-time data is available.

A surprising number of enterprises do not realize they have options for solutions that involve combinations of different data types including (1) their own data, (2) other companies' data, (3) public data, or a combination of all three. Accordingly, it was not surprising for the publisher of this report to find confusion even for many of those enterprise organizations already considering or implementing Data as a Service.

Another important opportunity area for DaaS is enterprise data syndication, which is the opportunity for companies of various sizes to syndicate (e.g. share and monetize) their data. This is one of the biggest opportunities for the Data as a Service market as a whole. However, there remain challenges above and beyond the core adoption barriers, which include specific security, privacy, and care of custody concerns.

Data as a Service Market Segmentation

The Data as a Service market is broadly divided by Data Structure into Structured Data and Unstructured Data, with the latter always requiring Big Data technologies, and the former often requiring the same tools and techniques due to factors other than structure such as data volume and velocity.

The Data as a Service market is also segmented by sectors including Public Data, Business Data, and Government Data.

Public Data consists of Communications and Internet Data (broadcast media, social media, texting, voice, video/picture sharing, etc.), Government Tracked Data (public records such as vehicle and home title, licensing, public resource usage including roadway usage), User Generated Data (consumer and business data made public [may be anonymized or not] such as vehicle usage, appliance data, etc.), and Other Data category.

Business Data consists of Enterprise Data and Industrial Data across various industry verticals. This data comes from many different business-related activities. Some of this data may be static and/or stored in data lakes. Some of this data may be generated and used in real-time.

Government Data is data that the government collects about itself such as Government Services Administration (GSA), essential services (such as public safety), military, homeland security, etc. This is not to be confused with the government collecting certain public data (such as highway usage).

The Data as a Service market is also segmented by Source Type. As it is prohibitively difficult to identify all of the sources and source types, the author has broadly segmented Source by Machine Data (consumer appliances, vehicles [ cars, trucks, planes, trains, ships, etc. ], robots and industrial equipment, etc.) and Non-machine Data (everything else including people texting/talking/etc., enterprise data collected by humans, etc.).

It is important to note that the DaaS also includes data sourced from a machine (such as from a jet engine) that is not "Internet-connected" and thus limited in utility without the Internet of Things (IoT) to collect, relay, and provide opportunities for feedback loops. Accordingly, the author has also segmented the Data as a Service Market by Data Collection Type, which includes IoT DaaS data and Non-IoT DaaS data. Machine Data that does not use IoT, by definition, will not be streaming data or allow for real-time analytics.

This research covers all of the aforementioned DaaS market segments including the following:

  • DaaS by Sector: Public, Business, and Government Data
  • DaaS by Data Collection Type: IoT Data and Non-IoT Data
  • DaaS by Data Source Type: Machine Data and Non-machine Data
  • DaaS by Data Structure Type: Structured Data and Unstructured Data

It is also important to note that there are three core types of data from an overall perspective:

  • Raw Data: This is data in its unchanged form. It is un-manipulated but may be formatted
  • Meta Data: This is data about data. Metadata defines data attributes/categories such as Raw, Machine, Business, etc.
  • Value-added Data: This is data that has been changed/manipulated with the intention to add some value

In addition to leveraging Big Data Analytics, another approach to transform data into useful information is through the use of Artificial Intelligence (AI). One useful AI technique is Machine Learning, which may further convert Value-added Data into actionable decisions. We cover the use of AI in big data and IoT in various reports including Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information, and Decision Support Services 2021 to 2026. One of the important growth areas for the Data as a Service market is to leverage AI to offer Value-added Data in a "Decisions as a Service" model.

Companies in Report:

  • 1010data
  • 3i Data Scraping
  • Accenture PLC
  • Actifio
  • Acxiom Corporation
  • Alibaba Group Holding Limited
  • Alteryx Ltd.
  • Amazon Web Services, Inc.
  • Apaleo Marketplace
  • Appier.com
  • AtScale Inc.
  • Bloomberg Finance L.P.
  • Cisco Systems Inc.
  • Clickfox
  • Column Technologies
  • comScore Inc.
  • Continental
  • Coriolis Technologies
  • Corporate360
  • Crunchbase, Inc.
  • CTERA
  • Datameer
  • Datasift Inc.
  • DataStax Inc
  • Dawex Systems
  • DC Frontiers Pte. Ltd.
  • Dell EMC
  • Demandbase (Whotoo)
  • Denodo Technologies
  • Dow Jones & Company, Inc.
  • Dremio
  • EMC Corporation
  • Equifax, Inc.
  • ESRI, Inc.
  • Experian plc
  • Facebook, Inc.
  • Factiva
  • Fico
  • FirstRain, Inc.
  • GE Predix
  • getsix group
  • Gigaspaces
  • Google Inc.
  • Guavus Inc.
  • Hewlett Packard Enterprise
  • HG Data Company
  • Hitachi Data Systems
  • Hoover's
  • Hortonworks
  • IBM Corporation
  • IHS Inc
  • Infochimps
  • Infogix, Inc.,
  • Informatica Corporation
  • Information Builders Inc.
  • Information Resources, Inc
  • Infosys
  • Intel
  • Intercontinental Exchange, Inc.
  • Intuit
  • Iota Foundation
  • Ipedo
  • IQM Corporation
  • K2View
  • KBC global
  • LexisNexis Group
  • LinkedIn Corporation
  • MapR Technologies Inc
  • MariaDB
  • MasterCard Advisors
  • Microsoft Corporation
  • Mighty AI, Inc.
  • Mindtree
  • Mobilewalla
  • Moody's Corporation
  • Morningstar, Inc
  • Nielsen Holdings Plc
  • Opera Solutions LLC
  • Optum, Inc.,
  • Oracle Corporation
  • Pentaho
  • PlaceIQ, Inc.
  • Protel I/O
  • Qlik Technologies Inc.
  • Qubole
  • Quest Software
  • Rackspace
  • Red Hat
  • Salesforce.com
  • SAP SE
  • SAS Institute
  • SiteMinder Exchange
  • SlamData,
  • SMARTe Inc.
  • SnapLogic
  • Snapshot (On Demand)
  • Snowflake Computing
  • Splunk
  • Talend
  • Teradata
  • Terbine
  • Terracotta
  • The Dun & Bradstreet Corporation
  • The Weather Company, LLC
  • Thomson Reuters Corp.
  • ThoughtSpot Inc.
  • TIBCO Software Inc
  • Tresata
  • Twitter, Inc.
  • Urban Mapping
  • Verizon Communications, Inc.
  • Wisers Information Limited
  • Wolters Kluwer N.V
  • Workday
  • Xignite
  • ZertoZerto

Table of Contents

1.0 Executive Summary

  • 1.1 Global Data as a Service Market
  • 1.2 DaaS Market by Data Type
  • 1.3 DaaS Market by Region

2.0 Data as a Service Technologies

  • 2.1 Cloud Computing and DaaS
  • 2.2 Database Approaches and Solutions
    • 2.2.1 Relational Database Management System
    • 2.2.2 NoSQL
    • 2.2.3 Hadoop
    • 2.2.4 High Performance Computing Cluster
    • 2.2.5 OpenStack
  • 2.3 DaaS and the XaaS Ecosystem
  • 2.4 Open Data Center Alliance
  • 2.5 Market Sizing by Horizontal

3.0 Data as a Service Market Advantages, Use Cases and Framework

  • 3.1 Benefits of data as a service
  • 3.2 Criticisms Related to Data-as-a-Service
  • 3.3 Use Cases
  • 3.4 Pricing models for Data as a Service
  • 3.5 Tools used for DaaS

4.0 Data as a Service Market

  • 4.1 Market Overview
    • 4.1.1 Understanding Data as a Service
    • 4.1.2 Data Structure
    • 4.1.3 Specialization
    • 4.1.4 DaaS Vendors
  • 4.2 Vendor Analysis and Prospects
    • 4.2.1 Large Vendors
    • 4.2.2 Mid-sized Vendors
    • 4.2.3 Small Vendors
    • 4.2.4 Market Sizing
  • 4.3 Data as a Service Market Drivers and Constraints
    • 4.3.1 Data as a Service Market Drivers
      • 4.3.1.1 Business Intelligence and DaaS Integration
      • 4.3.1.2 The Cloud Enabler DaaS
      • 4.3.1.3 XaaS Drives DaaS
    • 4.3.2 Data as a Service Market Constraints
      • 4.3.2.1 Need for Data Integration
      • 4.3.2.2 Issues Relating to Data-as-a-Service Integration
  • 4.4 Barriers and Challenges to DaaS Adoption
    • 4.4.1 Enterprises Reluctance to Change
    • 4.4.2 Responsibility of Data Security Externalized
    • 4.4.3 Security Concerns
    • 4.4.4 Cyber Attacks
    • 4.4.5 Unclear Agreements
    • 4.4.6 Complexity is a Deterrent
    • 4.4.7 Lack of Cloud Interoperability
    • 4.4.8 Service Provider Resistance to Audits
    • 4.4.9 Viability of Third-party Providers
    • 4.4.10 No Move of Systems and Data is without Cost
    • 4.4.11 Lack of Integration Features in the Public Cloud = Reduced Functionality
  • 4.5 Market Share and Geographic Influence
  • 4.6 DaaS Vendor Analysis
    • 4.6.1 Strategic Analysis of Players
    • 4.6.2 1010data
    • 4.6.3 3i Data Scraping
    • 4.6.4 Accenture PLC
    • 4.6.5 Actifio
    • 4.6.6 Acxiom Corporation
    • 4.6.7 Alteryx Ltd.
    • 4.6.8 Amazon Web Services, Inc.
    • 4.6.9 Apaleo Marketplace
    • 4.6.10 Appier
    • 4.6.11 AtScale Inc.
    • 4.6.12 Bloomberg Finance L.P.
    • 4.6.13 Cazena Inc
    • 4.6.14 Cisco Systems Inc.
    • 4.6.15 ClickFox
    • 4.6.16 Column Technologies
    • 4.6.17 comScore Inc.
    • 4.6.18 Continental vAnalytics
    • 4.6.19 Coriolis Technologies
    • 4.6.20 Corporate360
    • 4.6.21 Crunchbase Inc.
    • 4.6.22 CTERA
    • 4.6.23 Datameer
    • 4.6.24 Datasift Inc.
    • 4.6.25 DataStax Inc.
    • 4.6.26 Dawex Systems
    • 4.6.27 DC Frontiers Pte. Ltd.
    • 4.6.28 Dell EMC
    • 4.6.29 Demandbase (Whotoo)
    • 4.6.30 Denodo Technologies
    • 4.6.31 Dow Jones & Company, Inc.
    • 4.6.32 Dremio
    • 4.6.33 Equifax, Inc.
    • 4.6.34 ESRI, Inc.
    • 4.6.35 Experian
    • 4.6.36 Facebook Inc.
    • 4.6.37 Factiva
    • 4.6.38 FICO
    • 4.6.39 GE Predix
    • 4.6.40 getsix Group
    • 4.6.41 GigaSpaces
    • 4.6.42 Google Inc.
    • 4.6.43 Guavus Inc.
    • 4.6.44 Hewlett Packard Enterprise
    • 4.6.45 HG Data Company
    • 4.6.46 Hitachi Data Systems
    • 4.6.47 Hoovers
    • 4.6.48 Hortonworks
    • 4.6.49 IBM Corporation
    • 4.6.50 IHS Inc.
    • 4.6.51 Infochimps
    • 4.6.52 Infogix Inc.
    • 4.6.53 Informatica Corporation
    • 4.6.54 Information Builders Inc.
    • 4.6.55 Information Resources, Inc.
    • 4.6.56 Infosys
    • 4.6.57 Intel
    • 4.6.58 Intercontinental Exchange,Inc.
    • 4.6.59 Intuit
    • 4.6.60 IOTA Foundation
    • 4.6.61 IQM Corporation
    • 4.6.62 K2View
    • 4.6.63 KBC Global
    • 4.6.64 LexisNexis Group
    • 4.6.65 LinkedIn Corporation
    • 4.6.66 MapR Technologies Inc.
    • 4.6.67 MariaDB
    • 4.6.68 MasterCard Advisors
    • 4.6.69 Microsoft Corporation
    • 4.6.70 Mighty AI, Inc.
    • 4.6.71 Mindtree
    • 4.6.72 Mobilewalla
    • 4.6.73 Moody's Corporation
    • 4.6.74 Morningstar, Inc.
    • 4.6.75 Nielsen Holdings Plc
    • 4.6.76 Opera Solutions LLC
    • 4.6.77 Optum Inc.
    • 4.6.78 Oracle Corporation
    • 4.6.79 Pentaho
    • 4.6.80 PlaceIQ Inc.
    • 4.6.81 Protel I/O
    • 4.6.82 Qlik Technologies Inc.
    • 4.6.83 Qubole
    • 4.6.84 Quest Software
    • 4.6.85 Rackspace
    • 4.6.86 Red Hat
    • 4.6.87 Salesforce.com
    • 4.6.88 SAP SE
    • 4.6.89 SAS Institute
    • 4.6.90 SiteMinder Exchange
    • 4.6.91 SlamData
    • 4.6.92 SMARTe Inc.
    • 4.6.93 SnapLogic
    • 4.6.94 Snapshot
    • 4.6.95 Snowflake Computing
    • 4.6.96 Splunk
    • 4.6.97 Talend
    • 4.6.98 Teradata
    • 4.6.99 Terbine
    • 4.6.100 Terracotta
    • 4.6.101 The Dun & Bradstreet Corporation
    • 4.6.102 The Weather Company LLC
    • 4.6.103 Thomson Reuters Corp.
    • 4.6.104 ThoughtSpot Inc.
    • 4.6.105 TIBCO Software Inc.
    • 4.6.106 Tresata
    • 4.6.107 Twitter, Inc.
    • 4.6.108 Urban Mapping
    • 4.6.109 Wisers Information Limited
    • 4.6.110 Wolters Kluwer N.V.
    • 4.6.111 Workday
    • 4.6.112 Xignite
    • 4.6.113 Zerto

5.0 Data as a Service Strategies

  • 5.1 General Strategies
    • 5.1.1 Tiered Data Focus
    • 5.1.2 Value-based Pricing
    • 5.1.3 Open Development Environment
  • 5.2 Strategies for Emerging Market Opportunities
    • 5.2.1 Communication Service Providers and DaaS
      • 5.2.1.1 Service Ecosystem and Platforms
      • 5.2.1.2 Bringing to Together Multiple Sources for Mash-ups
      • 5.2.1.3 Developing Value-added Services as Proof Points
      • 5.2.1.4 Open Access to all Entities including Competitors
    • 5.2.2 Internet of Things and Data as a Service
      • 5.2.2.1 Data as a Service is a Perfect Match for IoT
      • 5.2.2.2 IoT Management for DaaS
      • 5.2.2.3 Integrating IoT Data for DaaS
      • 5.2.2.4 IoT Data as a Service requires Data Mediation
    • 5.2.3 Edge Networks and Data as a Service
      • 5.2.3.1 Mobile Edge Computing
      • 5.2.3.2 Data from the Edge: MEC and Data as a Service
  • 5.3 Service Provider Strategies
    • 5.3.1 Telecom Network Operators
    • 5.3.2 Data Center Providers
    • 5.3.3 Managed Service Providers
  • 5.4 Infrastructure Provider Strategies
    • 5.4.1 Enable New Business Models
  • 5.5 Application Developer Strategies

6.0 Data as a Service Applications

  • 6.1 Business Intelligence
  • 6.2 Development Environments
  • 6.3 Verification and Authorization
  • 6.4 Reporting and Analytics
  • 6.5 DaaS in Healthcare
  • 6.6 DaaS and Wearable Technology
  • 6.7 DaaS in the Government Sector
  • 6.8 DaaS for Media and Entertainment
  • 6.9 DaaS for Telecoms
  • 6.10 DaaS for Insurance
  • 6.11 DaaS for Utilities and Energy Sector
  • 6.12 DaaS for Pharmaceuticals
  • 6.13 DaaS for Financial Services

7.0 Market Outlook and Future of DaaS

  • 7.1 Security Concerns
  • 7.2 Cloud Trends
    • 7.2.1 Hybrid Computing
    • 7.2.2 Multi-Cloud
    • 7.2.3 Cloud Bursting
    • 7.2.4 General Data Trends
  • 7.3 Enterprise Leverages own Data and Telecom
    • 7.3.1 Web APIs
    • 7.3.2 SOA and Enterprise APIs
    • 7.3.3 Cloud APIs
    • 7.3.4 Telecom APIs
  • 7.4 Data Federation Emerges for DaaS

8.0 Data as a Service Market Analysis and Forecasts 2021 - 2026

  • 8.1 DaaS Market by Sector: Business, Public, and Government
    • 8.1.1 DaaS Market for Public Data
    • 8.1.2 DaaS Market for Business Data (Enterprise and Industrial)
    • 8.1.3 DaaS Market for Government Data
  • 8.2 DaaS Market by Source: Machine and Non-Machine Data
  • 8.3 DaaS Market by Data Collection: IoT and Non-IoT Data
  • 8.4 DaaS Markets by Hosting Type: Private, Public, and Hybrid
  • 8.5 DaaS Markets by Pricing Model
  • 8.6 DaaS Market by Service
  • 8.7 DaaS Markets by Industry Vertical

9.0 Regional DaaS Market Analysis and Forecasts 2021 - 2026

  • 9.1 North America Data as a Service Market 2021 - 2026
    • 9.1.1 North America: DaaS Market by Sector (Business, Public, and Government)
    • 9.1.2 North America: DaaS Market for Public Data
      • 9.1.2.1 North America: DaaS Markets by Solution using Public Data
    • 9.1.3 North America: DaaS Market for Business Data
      • 9.1.3.1 DaaS Markets by Solution using Business Data
    • 9.1.4 North America: DaaS Market by Data Source (Machine and Non-machine)
    • 9.1.5 North America: DaaS Market by Data Collection Type
    • 9.1.6 North America: DaaS Markets by Hosting Type
    • 9.1.7 North America: DaaS Markets by Pricing Model
    • 9.1.8 North America: DaaS Market by Service
    • 9.1.9 North America: DaaS Market by Industry Vertical
  • 9.2 South America Data as a Service Market 2021 - 2026
    • 9.2.1 South America: DaaS Market by Sector (Business, Public, and Government)
    • 9.2.2 South America: DaaS Market for Public Data
      • 9.2.2.1 South America: DaaS Market Solution using Public Data
    • 9.2.3 South America: DaaS Market for Business Data
      • 9.2.3.1 DaaS Market by Solution using Business Data
    • 9.2.4 South America: DaaS Market by Data Source Type
    • 9.2.5 South America: DaaS Market by Data Collection Type
    • 9.2.6 South America: DaaS Market by Hosting Type
    • 9.2.7 South America: DaaS Market by Pricing Model
    • 9.2.8 South America: DaaS Market by Service Type
    • 9.2.9 South America: DaaS Market by Industry Vertical
  • 9.3 Western Europe Data as a Service Market 2021 - 2026
    • 9.3.1 Western Europe: DaaS Market by Sector (Business, Public, and Government)
    • 9.3.2 Western Europe: DaaS Market for Public Data
      • 9.3.2.1 Western Europe: DaaS Market by Solution using Public Data
    • 9.3.3 Western Europe: DaaS Market for Business Data
      • 9.3.3.1 DaaS Market by Solution using Business Data
    • 9.3.4 Western Europe: DaaS Market by Data Source Type
    • 9.3.5 Western Europe: DaaS Market by Data Collection Type
    • 9.3.6 Western Europe: DaaS Market by Hosting Type
    • 9.3.7 Western Europe: DaaS Market by Pricing Model
    • 9.3.8 Western Europe: DaaS Market by Service
    • 9.3.9 Western Europe: DaaS Market by Industry Vertical
  • 9.4 Central & Eastern European Data as a Service Market 2021 - 2026
    • 9.4.1 Central & Eastern Europe: DaaS Market by Sector (Business, Public, and Government)
    • 9.4.2 Central and Eastern Europe: DaaS Market for Public Data
      • 9.4.2.1 Central and Eastern Europe: DaaS Market by Solution using Public Data
    • 9.4.3 Central and Eastern Europe: DaaS Market for Business Data
      • 9.4.3.1 DaaS Market by Solution using Business Data
    • 9.4.4 Central and Eastern Europe: DaaS Market by Data Source Type
    • 9.4.5 Central and Eastern Europe: DaaS Market by Data Collection Type
    • 9.4.6 Central and Eastern Europe: DaaS Markets by Hosting Type
    • 9.4.7 Central and Eastern Europe: DaaS Markets by Pricing Model
    • 9.4.8 Central and Eastern Europe: DaaS Markets by Service
    • 9.4.9 Central and Eastern Europe: DaaS Markets by Industry Vertical
  • 9.5 Asia Pacific Data as a Service Market 2021 - 2026
    • 9.5.1 Asia Pacific: DaaS Market by Sector (Business, Public, and Government)
    • 9.5.2 Asia Pacific: DaaS Market for Public Data
      • 9.5.2.1 Asia Pacific: DaaS Market by Solution using Public Data
    • 9.5.3 Asia Pacific: DaaS Market for Business Data
      • 9.5.3.1 DaaS Market by Solution using Business Data
    • 9.5.4 Asia Pacific: DaaS Market by Data Source Type
    • 9.5.5 Asia Pacific: DaaS Market by Data Collection Type
    • 9.5.6 Asia Pacific: DaaS Market by Hosting Type
    • 9.5.7 Asia Pacific: DaaS Markets by Pricing Model
    • 9.5.8 Asia Pacific: DaaS Markets by Service
    • 9.5.9 Asia Pacific: DaaS Market by Industry Vertical
  • 9.6 Middle East and Africa Data as a Service Market 2021 - 2026
    • 9.6.1 Middle East and Africa: DaaS Market by Sector (Business, Public, and Government)
    • 9.6.2 Middle East & Africa: DaaS Market for Public Data
      • 9.6.2.1 Middle East & Africa: DaaS Market by Solution using Public Data
    • 9.6.3 Middle East & Africa: DaaS Market for Business Data
      • 9.6.3.1 DaaS Market by Solution using Business Data
    • 9.6.4 Middle East & Africa: DaaS Market by Data Source Type
    • 9.6.5 Middle East & Africa: DaaS Market by Data Collection Type
    • 9.6.6 Middle East & Africa: DaaS Markets by Hosting Type
    • 9.6.7 Middle East & Africa: DaaS Markets by Pricing Model
    • 9.6.8 Middle East & Africa: DaaS Markets by Service
    • 9.6.9 Middle East & Africa: DaaS Markets by Industry Vertical

10.0 Conclusions and Recommendations

  • 10.1.1 DaaS and IoT
  • 10.1.2 DaaS and CSP Data
  • 10.1.3 DaaS and Enterprise

11.0 Appendix

  • 11.1 Structured vs. Unstructured Data
    • 11.1.1 Structured Database Services in Telecom
    • 11.1.2 Unstructured Database Services in Telecom and Enterprise
    • 11.1.3 Emerging Hybrid (Structured/Unstructured) Database Services
  • 11.2 Data Architecture and Functionality
    • 11.2.1 Data Architecture
      • 11.2.1.1 Data Models and Modelling
      • 11.2.1.2 DaaS Architecture
    • 11.2.2 Data Mart vs. Data Warehouse
    • 11.2.3 Data Gateway
    • 11.2.4 Data Mediation
  • 11.3 Data Governance
    • 11.3.1 Data Security
    • 11.3.2 Data Quality
    • 11.3.3 Data Integration
  • 11.4 Master Data Management
    • 11.4.1 Understanding MDM
      • 11.4.1.1 Transactional vs. Non-transactional Data
      • 11.4.1.2 Reference vs. Analytics Data
    • 11.4.2 MDM and DaaS
      • 11.4.2.1 Data Acquisition and Provisioning
      • 11.4.2.2 Data Warehousing and Business Intelligence
      • 11.4.2.3 Analytics and Virtualization
      • 11.4.2.4 Data Governance
  • 11.5 Data Mining
    • 11.5.1 Data Capture
      • 11.5.1.1 Event Detection
      • 11.5.1.2 Capture Methods
    • 11.5.2 Data Mining Tools

Figures

  • Figure 1: Global Market for Data as a Service
  • Figure 2: Data as a Service Market by Data Type
  • Figure 3: Data as a Service Market by Region
  • Figure 4: Cloud Computing Service Model
  • Figure 5: Data as a Service Vertical and Horizontal Markets
  • Figure 6: Data as a Service Revenue by Region
  • Figure 7: DaaS Types and Functions
  • Figure 8: Ecosystem and Platform Models
  • Figure 9: Data as a Service need for Data Mediation
  • Figure 10: Data as a Service Mediation Use Case: Smart Grids
  • Figure 11: Internet of Things and Data as a Service
  • Figure 12: Telecom API Value Chain for DaaS
  • Figure 13: DaaS Verification and Authorization
  • Figure 14: Data as a Service Foundation is SOA
  • Figure 15: Cloud Services rely upon DaaS and APIs
  • Figure 16: Federated Data vs. Non-Federated Models
  • Figure 17: Federated Data at Functional Level
  • Figure 18: Federated Data at City Level
  • Figure 19: Federated Data at Global Level
  • Figure 20: Federation Requires Mediation Data
  • Figure 21: Mediation Data Synchronization
  • Figure 22: DaaS Market by Sector (Business, Public, and Government)
  • Figure 23: DaaS Market by Public Data sourced Solution
  • Figure 24: DaaS Market by Public Data sourced Solution
  • Figure 25: DaaS Market for Business Data
  • Figure 26: DaaS Market by Solution using Business Data
  • Figure 27: DaaS Market for Government Data
  • Figure 28: DaaS Market by Source (Machine vs. Non-machine Data)
  • Figure 29: DaaS Market by Data Collection (IoT vs. Non-IoT Data)
  • Figure 30: DaaS Market by Hosting Type (Private, Public, and Hybrid)
  • Figure 31: DaaS Market by Pricing Model
  • Figure 32: DaaS Market by Service Type
  • Figure 33: DaaS Market Industry Vertical
  • Figure 34: North America DaaS by Sector
  • Figure 35: North America DaaS Market by Public Data Type
  • Figure 36: North America DaaS Market by Solution using Public Data
  • Figure 37: North America DaaS Market by Enterprise and Industrial Data
  • Figure 38: North America DaaS Market by Business Data Solution
  • Figure 39: North America: DaaS Market by Data Source Type
  • Figure 40: North America DaaS Market by Data Collection Type
  • Figure 41: North America DaaS Market by Hosting Type
  • Figure 42: North America DaaS Market by Pricing Model
  • Figure 43: North America DaaS Market by Service
  • Figure 44: North America DaaS Market by Industry Vertical
  • Figure 45: South America DaaS Market by Sector
  • Figure 46: South America DaaS Market by Public Data Type
  • Figure 47: South America DaaS Market by Solution using Public Data
  • Figure 48: South America DaaS Market by Enterprise and Industrial Data
  • Figure 49: South America DaaS Market by Solution using Business Data
  • Figure 50: South America DaaS Market by Data Source Type
  • Figure 51: South America DaaS Market by Data Collection Type
  • Figure 52: South America DaaS Market by Hosting Type
  • Figure 53: South America DaaS Market by Pricing Model
  • Figure 54: South America DaaS Market by Service
  • Figure 55: South America DaaS Market by Industry Vertical
  • Figure 56: Western Europe DaaS Market by Sector
  • Figure 57: Western Europe DaaS Market by Public Data Type
  • Figure 58: Western Europe DaaS Market by Solution using Public Data
  • Figure 59: Western Europe DaaS Market by Enterprise and Industrial Data
  • Figure 60: Western Europe DaaS Market by Solution using Business Data
  • Figure 61: Western Europe DaaS Market by Data Source Type
  • Figure 62: Western Europe DaaS Market by Data Collection Type
  • Figure 63: Western Europe DaaS Market by Hosting Type
  • Figure 64: Western Europe: DaaS Market by Pricing Model
  • Figure 65: Western Europe DaaS Market by Services
  • Figure 66: Western Europe DaaS Market by Industry Vertical
  • Figure 67: Central & Eastern Europe DaaS Market by Sector
  • Figure 68: Central & Eastern Europe DaaS Market by Public Data Type
  • Figure 69: Central & Eastern Europe DaaS Market by Solution using Public Data
  • Figure 70: Central & Eastern Europe DaaS Market for Business Data
  • Figure 71: Central & Eastern Europe DaaS Market by Solution using Business Data
  • Figure 72: Central & Eastern Europe DaaS Market by Data Source Type
  • Figure 73: Central & Eastern Europe DaaS Market by Data Collection Type
  • Figure 74: Central & Eastern Europe DaaS Market by Hosting Type
  • Figure 75: Central & Eastern Europe DaaS Market by Pricing Model
  • Figure 76: Central & Eastern Europe DaaS Market Service
  • Figure 77: Central & Eastern Europe DaaS Market by Industry Vertical
  • Figure 78: Asia Pacific DaaS Market by Sector
  • Figure 79: Asia Pacific DaaS Market by Public Data Type
  • Figure 80: Asia Pacific DaaS Market by Solution using Public Data
  • Figure 81: Asia Pacific DaaS Market for Business Data
  • Figure 82: Asia Pacific DaaS Market by Solution using Business Data
  • Figure 83: Asia Pacific DaaS Market by Data Source Type
  • Figure 84: Asia Pacific DaaS Market by Data Collection Type
  • Figure 85: Asia Pacific DaaS Market by Hosting Type
  • Figure 86: Asia Pacific DaaS Market by Pricing Model
  • Figure 87: Asia Pacific DaaS Market by Service
  • Figure 88: Asia Pacific DaaS Market by Industry Vertical
  • Figure 89: Middle East & Africa DaaS Market by Sector
  • Figure 90: Middle East & Africa DaaS Market by Public Data Type
  • Figure 91: Middle East & Africa DaaS Market by Solution using Public Data
  • Figure 92: Middle East & Africa DaaS Market for Business Data
  • Figure 93: Middle East & Africa DaaS Market by Solution using Business Data
  • Figure 94: Middle East & Africa DaaS Market by Data Source Type
  • Figure 95: Middle East & Africa DaaS Market by Data Collection Type
  • Figure 96: Middle East & Africa DaaS Market by Hosting Type
  • Figure 97: Middle East & Africa DaaS Market by Pricing Model
  • Figure 98: Middle East & Africa DaaS Market by Service
  • Figure 99: Middle East & Africa DaaS Market Industry Vertical
  • Figure 100: Hybrid Data in Next Generation Applications
  • Figure 101: Traditional Data Architecture
  • Figure 102: Data Architecture Modeling
  • Figure 103: DaaS Data Architecture
  • Figure 104: Location Data Mediation
  • Figure 105: Data Mediation in IoT
  • Figure 106: Data Mediation for Smart Grids
  • Figure 107: Enterprise Data Types
  • Figure 108: Data Governance
  • Figure 109: Data Flow in DaaS
  • Figure 110: Processing Streaming Data

Tables

  • Table 1: Global Market for Data as a Service
  • Table 2: DaaS Market by Data Type
  • Table 3: DaaS Market by Regions
  • Table 4: DaaS Market by Sector (Business, Public, and Government)
  • Table 5: DaaS Market for Public Data Type
  • Table 6: DaaS Market by Public Data sourced Solution
  • Table 7: DaaS Market for Business Data
  • Table 8: DaaS Market by Solution Type using Business Data
  • Table 9: DaaS Market by Source (Machine vs. Non-Machine Data)
  • Table 10: DaaS Market by Data Collection Type (IoT vs. Non-IoT)
  • Table 11: DaaS Market by Hosting Type
  • Table 12: DaaS Market by Pricing Model
  • Table 13: DaaS Market by Service
  • Table 14: DaaS Market by Industry Vertical
  • Table 15: North America DaaS Market by Sector
  • Table 16: North America DaaS Market for Type of Public Data
  • Table 17: North America DaaS Market by Solution using Public Data
  • Table 18: North America DaaS Market by Enterprise and Industrial Data
  • Table 19: North America DaaS Market by Solution using Business Data
  • Table 20: North America DaaS Market by Data Source (Machine vs. Non-machine)
  • Table 21: North America DaaS Market by Data Collection Type
  • Table 22: North America DaaS Market by Hosting Type
  • Table 23: North America DaaS Market by Pricing Model
  • Table 24: North America DaaS Market by Service
  • Table 25: North America DaaS Market by Industry Vertical
  • Table 26: South America DaaS Market by Sector
  • Table 27: South America DaaS Market by Public Data Type
  • Table 28: South America DaaS Market by Solution using Public Data
  • Table 29: South America DaaS Market by Enterprise and Industrial Data
  • Table 30: South America DaaS Market by Solution using Business Data
  • Table 31: South America DaaS Market by Data Source Type
  • Table 32: South America DaaS Market by Data Collection Type
  • Table 33: South America DaaS Market by Hosting Type
  • Table 34: South America DaaS Market by Pricing Model
  • Table 35: South America DaaS Market by Service
  • Table 36: South America DaaS Market by Industry Vertical
  • Table 37: Western Europe DaaS Market by Sector
  • Table 38: Western Europe DaaS Market by Public Data Type
  • Table 39: Western Europe DaaS Market by Solution using Public Data
  • Table 40: Western Europe: DaaS Market for Business Data
  • Table 41: Western Europe: DaaS Market by Solution using Business Data
  • Table 42: Western Europe DaaS Market by Data Source Type
  • Table 43: Western Europe DaaS Market by Data Collection Type
  • Table 44: Western Europe DaaS Market by Hosting Type
  • Table 45: Western Europe DaaS Market by Pricing Model
  • Table 46: Western Europe DaaS Market by Service
  • Table 47: Western Europe DaaS Market by Industry Vertical
  • Table 48: Central & Eastern Europe DaaS Market by Sector
  • Table 49: Central & Eastern Europe DaaS Market by Public Data Type
  • Table 50: Central & Eastern Europe DaaS Market by Solution using Public Data
  • Table 51: Central & Eastern Europe DaaS Market for Business Data
  • Table 52: Central & Eastern Europe DaaS Market by Solution using Business Data
  • Table 53: Central & Eastern Europe DaaS Market by Data Source Type
  • Table 54: Central & Eastern Europe DaaS Market by Data Collection Type
  • Table 55: Central & Eastern Europe DaaS Market by Hosting Type
  • Table 56: Central & Eastern Europe DaaS Market by Pricing Model
  • Table 57: Central & Eastern Europe DaaS Market by Service
  • Table 58: Central & Eastern Europe DaaS Market by Industry Vertical
  • Table 59: Asia Pacific DaaS Market by Sector
  • Table 60: Asia Pacific DaaS Market by Public Data Type
  • Table 61: Asia Pacific DaaS Market by Solution using Public Data
  • Table 62: Asia Pacific DaaS Market for Business Data
  • Table 63: Asia Pacific DaaS Market by Solution using Business Data
  • Table 64: Asia Pacific DaaS Market by Data Source Type
  • Table 65: Asia Pacific DaaS Market by Data Collection Type
  • Table 66: Asia Pacific DaaS Market by Hosting Type
  • Table 67: Asia Pacific DaaS Market by Pricing Model
  • Table 68: Asia Pacific DaaS Market by Service
  • Table 69: Asia Pacific DaaS Market by Industry Vertical
  • Table 70: Middle East & Africa DaaS Market by Sector
  • Table 71: Middle East & Africa DaaS Market by Public Data Type
  • Table 72: Middle East & Africa DaaS Market by Solution using Public Data
  • Table 73: Middle East & Africa DaaS Market for Business Data
  • Table 74: Middle East & Africa DaaS Market by Solution using Business Data
  • Table 75: Middle East & Africa DaaS Market by Data Source Type
  • Table 76: Middle East & Africa DaaS Market by Data Collection Type
  • Table 77: Middle East & Africa DaaS Market by Hosting Type
  • Table 78: Middle East & Africa DaaS Market by Pricing Model
  • Table 79: Middle East & Africa DaaS Market by Service
  • Table 80: Middle East & Africa DaaS Market by Industry Vertical