Summary

米国調査会社マインドコマース(Mind Commerce)の調査レポート「サービスとしてのデータ（Data as a Service）市場：企業毎、産業毎、公共・政府行政のDaaSアプリケーションとサービス毎　2019-2024年」は、サービスとしてのデータ（DaaS）市場の技術、企業、戦略、ソリューションについて調査している。企業の所有するデータ、その他のデータ、それらの組合せによる利用のビジネスチャンスを評価している。様々なサードパーティのDaaS製品を通じての企業の所有するデータの収益化によるビジネスチャンスについても評価している。主要な垂直市場でのDaaSのビジネスチャンスや新しいデータ収益化の今後についても概観している。2019-2024年の世界と地域毎のセクター毎、データ収集毎、情報源毎、ストラクチャ毎の予測も記載している。

Overview

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 feature 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 enterprise organizations, 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 Mind Commerce to find confusion even for many of those enterprise organizations already considering Data as a Service, or already with DaaS in place.

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 whole. However, there remains 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 Sector 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 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, Mind Commerce 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, Mind Commerce 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 segment. To summarize, the report covers:

•    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. Meta data defines data attributes/categories such as Raw, Machine, Business, etc.
•    Value-added Data: This is data that has been changed/manipulated with the intend to add some value

In addition to leveraging Big Data Analytics, another approach to transform data into useful information is through use of Artificial Intelligence (AI). One useful AI technique is Machine Learning, which may further convert Value-added Data into actionable decisions. Mind Commerce covers the use AI in Big Data and IoT in various report including Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2019 – 2024. 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.

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 combination of both. The report also analyzes opportunities for enterprise 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 2019 to 2024.

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 it 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 2024
•    The DaaS market will receive a huge boost in both usage and revenue from edge computing and real-time Data

Report Benefits:

•    DaaS segmentation by Structure, Source, Sector, and Collection type for 2019 to 2024
•    Identify leading DaaS companies, strategies, and solutions offering enterprise solutions
•    Understand the market dynamics for the Data as a Service market including leading services
•    Identify DaaS market drivers and constraints as well as technology challenges and opportunities
•    Identify industry vertical Data as a Service market value, globally and regionally, by market segment

Target Audience:

•    Data services companies
•    Cloud services companies
•    Managed service providers
•    Data infrastructure providers
•    Network and app integrators
•    Data brokers and intermediaries
•    Enterprise, Industrial, and Government

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

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Table of Contents

1.0          Executive Summary
1.1          Global Data as a Service Market
1.2          Data as a Service Market by Data Type
1.3          Data as a Service 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          Data as a Service and the XaaS Ecosystem
2.4          Open Data Center Alliance
2.5          Market Sizing by Horizontal
3.0          Data as a Service Market
3.1          Market Overview
3.1.1      Understanding Data as a Service
3.1.2      Data Structure
3.1.3      Specialization
3.1.4      Vendors
3.2          Vendor Analysis and Prospects
3.2.1      Large Vendors
3.2.2      Mid-sized Vendors
3.2.3      Small Vendors
3.2.4      Market Sizing
3.3          Data as a Service Market Drivers and Constraints
3.3.1      Data as a Service Market Drivers
3.3.1.1   Business Intelligence and DaaS Integration
3.3.1.2   The Cloud Enabler DaaS
3.3.1.3   XaaS Drives DaaS
3.3.2      Data as a Service Market Constraints
3.3.2.1   Need for Data Integration
3.3.2.2   Issues Relating to Data-as-a-Service Integration
3.4          Barriers and Challenges to DaaS Adoption
3.4.1      Enterprises Reluctance to Change
3.4.2      Responsibility of Data Security Externalized
3.4.3      Security Concerns
3.4.4      Cyber Attacks
3.4.5      Unclear Agreements
3.4.6      Complexity is a Deterrent
3.4.7      Lack of Cloud Interoperability
3.4.8      Service Provider Resistance to Audits
3.4.9      Viability of Third-party Providers
3.4.10    No Move of Systems and Data is without Cost
3.4.11    Lack of Integration Features in the Public Cloud results in Reduced Functionality
3.5          Market Share and Geographic Influence
3.6          Vendors
4.0          Data as a Service Strategies
4.1          General Strategies
4.1.1      Tiered Data Focus
4.1.2      Value-based Pricing
4.1.3      Open Development Environment
4.2          Strategies for Emerging Market Opportunities
4.2.1      Communication Service Providers and DaaS
4.2.1.1   Service Ecosystem and Platforms
4.2.1.2   Bringing to Together Multiple Sources for Mash-ups
4.2.1.3   Developing Value-added Services as Proof Points
4.2.1.4   Open Access to all Entities including Competitors
4.2.2      Internet of Things and Data as a Service
4.2.2.1   Data as a Service is a Perfect Match for IoT
4.2.2.2   IoT Management for DaaS
4.2.2.3   Integrating IoT Data for DaaS
4.2.2.4   IoT Data as a Service requires Data Mediation
4.2.3      Edge Networks and Data as a Service
4.2.3.1   Mobile Edge Computing
4.2.3.2   Data from the Edge: MEC and Data as a Service
4.3          Service Provider Strategies
4.3.1      Telecom Network Operators
4.3.2      Data Center Providers
4.3.3      Managed Service Providers
4.4          Infrastructure Provider Strategies
4.4.1      Enable New Business Models
4.5          Application Developer Strategies
5.0          Data as a Service Applications
5.1          Business Intelligence
5.2          Development Environments
5.3          Verification and Authorization
5.4          Reporting and Analytics
5.5          Data as a Service in Healthcare
5.6          Data as a Service and Wearable Technology
5.7          Data as a Service in the Government Sector
5.8          Data as a Service for Media and Entertainment
5.9          Data as a Service for Telecoms
5.10        Data as a Service for Insurance
5.11        Data as a Service for Utilities and Energy Sector
5.12        Data as a Service for Pharmaceuticals
5.13        Data as a Service for Financial Services
6.0          Market Outlook and Future of Data as a Service
6.1          Security Concerns
6.2          Cloud Trends
6.2.1      Hybrid Computing
6.2.2      Multi-Cloud
6.2.3      Cloud Bursting
1.1          General Data Trends
6.3          Enterprise Leverages own Data and Telecom
6.3.1      Web APIs
6.3.2      SOA and Enterprise APIs
6.3.3      Cloud APIs
6.3.4      Telecom APIs
6.4          Data Federation Emerges for Data as a Service
7.0          Data as a Service Market Analysis and Forecasts 2019 – 2024
7.1          DaaS Market by Sector: Business, Public, and Government
7.1.1      DaaS Market for Public Data
7.1.2      DaaS Market for Business Data (Enterprise and Industrial)
7.1.3      DaaS Market for Government Data
7.2          DaaS Market by Source: Machine and Non-Machine Data
7.3          DaaS Market by Data Collection: IoT and Non-IoT Data
7.4          DaaS Markets by Hosting Type: Private, Public, and Hybrid
7.5          DaaS Markets by Pricing Model
7.6          DaaS Market by Service
7.7          DaaS Markets by Industry Vertical
8.0          Regional DaaS Market Analysis and Forecasts 2019 – 2024
8.1          North America Data as a Service Market
8.1.1      North America: DaaS Market by Sector (Business, Public, and Government)
8.1.2      North America: DaaS Market for Public Data
8.1.2.1   North America: DaaS Markets by Solution using Public Data
8.1.3      North America: DaaS Market for Business Data
8.1.3.1   DaaS Markets by Solution using Business Data
8.1.4      North America: DaaS Market by Data Source (Machine and Non-machine)
8.1.5      North America: DaaS Market by Data Collection Type
8.1.6      North America: DaaS Markets Hosting Type
8.1.7      North America: DaaS Markets by Pricing Model
8.1.8      North America: DaaS Market by Service
8.1.9      North America: DaaS Market by Industry Vertical
8.2          South America Data as a Service Market
8.2.1      South America: DaaS Market by Business, Public, and Government
8.2.2      South America: DaaS Market for Public Data
8.2.2.1   South America: DaaS Market Solution using Public Data
8.2.3      South America: DaaS Market for Business Data
8.2.3.1   DaaS Market by Solutions using Business Data
8.2.4      South America: DaaS Market by Data Source Type
8.2.5      South America: DaaS Market by Data Collection Type
8.2.6      South America: DaaS Market Hosting Type
8.2.7      South America: DaaS Market by Pricing Model
8.2.8      South America: DaaS Market by Service
8.2.9      South America: DaaS Market by Industry Vertical
8.3          Western Europe Data as a Service Market
8.3.1      Western Europe: DaaS Market by Business, Public, and Government
8.3.2      Western Europe: DaaS Market for Public Data
8.3.2.1   Western Europe: DaaS Market by Solution using Public Data
8.3.3      Western Europe: DaaS Market for Business Data
8.3.3.1   DaaS Market by Solution using Business Data
8.3.4      Western Europe: DaaS Market by Data Source Type
8.3.5      Western Europe: DaaS Market by Data Collection Type
8.3.6      Western Europe: DaaS Market Hosting Type
8.3.7      Western Europe: DaaS Market by Pricing Model
8.3.8      Western Europe: DaaS Market by Service
8.3.9      Western Europe: DaaS Market by Industry Vertical
8.4          Central & Eastern European Data as a Service Market
8.4.1      Central & Eastern Europe: DaaS Market by Business, Public, and Government
8.4.2      Central and Eastern Europe: DaaS Market for Public Data
8.4.2.1   Central and Eastern Europe: DaaS Market by Solution using Public Data
8.4.3      Central and Eastern Europe: DaaS Market for Business Data
8.4.3.1   DaaS Market by Solution using Business Data
8.4.4      Central and Eastern Europe: DaaS Market by Data Source Type
8.4.5      Central and Eastern Europe: DaaS Market by Data Collection Type
8.4.6      Central and Eastern Europe: DaaS Markets Hosting Type
8.4.7      Central and Eastern Europe: DaaS Markets by Pricing Model
8.4.8      Central and Eastern Europe: DaaS Markets by Service
8.4.9      Central and Eastern Europe: DaaS Markets by Industry Vertical
8.5          Asia Pacific Data as a Service Market
8.5.1      Asia Pacific: DaaS Market by Business, Public, and Government
8.5.2      Asia Pacific: DaaS Market for Public Data
8.5.2.1   Asia Pacific: DaaS Market by Solution using Public Data
8.5.3      Asia Pacific: DaaS Market for Business Data
8.5.3.1   DaaS Market by Solution using Business Data
8.5.4      Asia Pacific: DaaS Market by Data Source Type
8.5.5      Asia Pacific: DaaS Market by Data Collection Type
8.5.6      Asia Pacific: DaaS Market by Hosting Type
8.5.7      Asia Pacific: DaaS Markets by Pricing Model
8.5.8      Asia Pacific: DaaS Markets by Service
8.5.9      Asia Pacific: DaaS Market by Industry Vertical
8.6          Middle East and Africa Data as a Service Market
8.6.1      Middle East and Africa: DaaS Market by Business, Public, and Government
8.6.2      Middle East & Africa: DaaS Market for Public Data
8.6.2.1   Middle East & Africa: DaaS Market by Solution using Public Data
8.6.3      Middle East & Africa: DaaS Market for Business Data
8.6.3.1   DaaS Market by Solution using Business Data
8.6.4      Middle East & Africa: DaaS Market by Data Source Type
8.6.5      Middle East & Africa: DaaS Market by Data Collection Type
8.6.6      Middle East & Africa: DaaS Markets Hosting Type
8.6.7      Middle East & Africa: DaaS Markets by Pricing Model
8.6.8      Middle East & Africa: DaaS Markets by Service
8.6.9      Middle East & Africa: DaaS Markets by Industry Vertical
9.0          Conclusions and Recommendations
9.1.1      Data as a Service and IoT
9.1.2      Data as a Service and CSP Data
9.1.3      Data as a Service and Enterprise
10.0        Appendix
10.1        Structured vs. Unstructured Data
10.1.1    Structured Database Services in Telecom
10.1.2    Unstructured Database Services in Telecom and Enterprise
10.1.3    Emerging Hybrid (Structured/Unstructured) Database Services
10.2        Data Architecture and Functionality
10.2.1    Data Architecture
10.2.1.1                Data Models and Modelling
10.2.1.2                DaaS Architecture
10.2.2    Data Mart vs. Data Warehouse
10.2.3    Data Gateway
10.2.4    Data Mediation
10.3        Data Governance
10.3.1    Data Security
10.3.2    Data Quality
10.3.3    Data Integration
10.4        Master Data Management
10.4.1    Understanding MDM
10.4.1.1                Transactional vs. Non-transactional Data
10.4.1.2                Reference vs. Analytics Data
10.4.2    MDM and DaaS
10.4.2.1                Data Acquisition and Provisioning
10.4.2.2                Data Warehousing and Business Intelligence
10.4.2.3                Analytics and Virtualization
10.4.2.4                Data Governance
10.5        Data Mining
10.5.1    Data Capture
10.5.1.1                Event Detection
10.5.1.2                Capture Methods
10.5.2    Data Mining Tools

Figures

Figure 1: Global Market for Data as a Service 2019 – 2024
Figure 2: Data as a Service Market by Data Type 2019 – 2024
Figure 3: Data as a Service Market by Region 2019 – 2024
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 2019 – 2024
Figure 7: Data as a Service Types and Functions  
Figure 8: Ecosystem and Platform Models            
Figure 9: Data as a Service need for Data Mediation         
Figure 10: DaaS Mediation Use Case: Smartgrid  
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) 2019 – 2024
Figure 23: DaaS Market by Public Data sourced Solution 2019 – 2024
Figure 24: DaaS Market by Public Data sourced Solution 2019 – 2024
Figure 25: DaaS Market for Business Data 2019 – 2024
Figure 26: DaaS Market by type of Solutions using Business Data 2019 – 2024
Figure 27: DaaS Market for Government Data 2019 – 2024
Figure 28: DaaS Market by Source (Machine vs. Non-machine Data) 2019 – 2024
Figure 29: DaaS Market by Data Collection (IoT vs. Non-IoT Data) 2019 – 2024
Figure 30: DaaS Market by Hosting Type (Private, Public, and Hybrid) 2019 – 2024
Figure 31: DaaS Market by Pricing Model 2019 – 2024
Figure 32: DaaS Market by Service Type 2019 – 2024
Figure 33: DaaS Market Industry Vertical 2019 – 2024
Figure 34: North America DaaS by Sector 2019 – 2024
Figure 35: North America DaaS Market by Public Data Type 2019 – 2024
Figure 36: North America DaaS Market by Solution using Public Data 2019 – 2024
Figure 37: North America DaaS Market by Enterprise and Industrial Data 2019 – 2024
Figure 38: North America DaaS Market by Business Data Solution 2019 – 2024
Figure 39: North America: DaaS Market by Data Source Type 2019 – 2024
Figure 40: North America DaaS Market by Data Collection Type 2019 – 2024
Figure 41: North America DaaS Market by Hosting Type 2019 – 2024
Figure 42: North America DaaS Market by Pricing Model 2019 – 2024
Figure 43: North America DaaS Market by Service 2019 – 2024
Figure 44: North America DaaS Market by Industry Vertical 2019 – 2024
Figure 45: South America DaaS Market by Sector 2019 – 2024
Figure 46: South America DaaS Market by Public Data Type 2019 – 2024
Figure 47: South America DaaS Market by Solution using Public Data 2019 – 2024
Figure 48: South America DaaS Market by Enterprise and Industrial Data 2019 – 2024
Figure 49: South America DaaS Market by Solution using Business Data 2019 – 2024
Figure 50: South America DaaS Market by Data Source Type 2019 – 2024
Figure 51: South America DaaS Market by Data Collection Type 2019 – 2024
Figure 52: South America DaaS Market by Hosting Type 2019 – 2024
Figure 53: South America DaaS Market by Pricing Model 2019 – 2024        
Figure 54: South America DaaS Market by Service 2019 – 2024
Figure 55: South America DaaS Market by Industry Vertical 2019 – 2024
Figure 56: Western Europe DaaS Market by Sector 2019 – 2024
Figure 57: Western Europe DaaS Market by Public Data Type 2019 – 2024
Figure 58: Western Europe DaaS Market by Solution using Public Data 2019 – 2024
Figure 59: Western Europe DaaS Market by Enterprise and Industrial Data 2019 – 2024
Figure 60: Western Europe DaaS Market by Solution using Business Data 2019 – 2024
Figure 61: Western Europe DaaS Market by Data Source Type 2019 – 2024
Figure 62: Western Europe DaaS Market by Data Collection Type 2019 – 2024
Figure 63: Western Europe DaaS Market by Hosting Type 2019 – 2024
Figure 64: Western Europe: DaaS Market by Pricing Model 2019 – 2024
Figure 65: Western Europe DaaS Market by Services 2019 – 2024
Figure 66: Western Europe DaaS Market by Industry Vertical 2019 – 2024
Figure 67: Central & Eastern Europe DaaS Market by Sector 2019 – 2024
Figure 68: Central & Eastern Europe DaaS Market by Public Data Type 2019 – 2024
Figure 69: Central & Eastern Europe DaaS Market by Solution using Public Data 2019 – 2024
Figure 70: Central & Eastern Europe DaaS Market for Business Data 2019 – 2024
Figure 71: Central & Eastern Europe DaaS Market by Solution using Business Data 2019 – 2024     
Figure 72: Central & Eastern Europe DaaS Market by Data Source Type 2019 – 2024
Figure 73: Central & Eastern Europe DaaS Market by Data Collection Type 2019 – 2024
Figure 74: Central & Eastern Europe DaaS Market by Hosting Type 2019 – 2024
Figure 75: Central & Eastern Europe DaaS Market by Pricing Model 2019 – 2024
Figure 76: Central & Eastern Europe DaaS Market Service 2019 – 2024
Figure 77: Central & Eastern Europe DaaS Market by Industry Vertical 2019 – 2024
Figure 78: Asia Pacific DaaS Market by Sector 2019 – 2024
Figure 79: Asia Pacific DaaS Market by Public Data Type 2019 – 2024
Figure 80: Asia Pacific DaaS Market by Solution using Public Data 2019 – 2024
Figure 81: Asia Pacific DaaS Market for Business Data 2019 – 2024
Figure 82: Asia Pacific DaaS Market by Solution using Business Data 2019 – 2024  
Figure 83: Asia Pacific DaaS Market by Data Source Type 2019 – 2024        
Figure 84: Asia Pacific DaaS Market by Data Collection Type 2019 – 2024
Figure 85: Asia Pacific DaaS Market by Hosting Type 2019 – 2024
Figure 86: Asia Pacific DaaS Market by Pricing Model 2019 – 2024
Figure 87: Asia Pacific DaaS Market by Service 2019 – 2024
Figure 88: Asia Pacific DaaS Market by Industry Vertical  2019 – 2024
Figure 89: Middle East & Africa DaaS Market by Sector 2019 – 2024
Figure 90: Middle East & Africa DaaS Market by Public Data Type 2019 – 2024
Figure 91: Middle East & Africa DaaS Market by Solution using Public Data 2019 – 2024
Figure 92: Middle East & Africa DaaS Market for Business Data 2019 – 2024
Figure 93: Middle East & Africa DaaS Market by Solution using Business Data 2019 – 2024
Figure 94: Middle East & Africa DaaS Market by Data Source Type 2019 – 2024
Figure 95: Middle East & Africa DaaS Market by Data Collection Type 2019 – 2024
Figure 96: Middle East & Africa DaaS Market by Hosting Type 2019 – 2024
Figure 97: Middle East & Africa DaaS Market by Pricing Model 2019 – 2024
Figure 98: Middle East & Africa DaaS Market by Service 2019 – 2024
Figure 99: Middle East & Africa DaaS Market Industry Vertical 2019 – 2024
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 Smartgrids            
Figure 107: Enterprise Data Types             
Figure 108: Data Governance      
Figure 109: Data Flow     
Figure 110: Processing Streaming Data   

Tables

Table 1: Global Market for DaaS 2019 – 2024
Table 2: DaaS Market Data Type 2019 – 2024
Table 3: DaaS Market by Region 2019 – 2024        
Table 4: DaaS Market by Sector (Business, Public, and Government) 2019 – 2024
Table 5: DaaS Market for Public Data Type 2019 – 2024
Table 6: DaaS Market by Public Data sourced Solution 2019 – 2024
Table 7: DaaS Market for Business Data 2019 – 2024
Table 8: DaaS Market by Solution Type using Business Data 2019 – 2024
Table 9: DaaS Market by Source (Machine vs. Non-Machine Data) 2019 – 2024    
Table 10: DaaS Market by Data Collection Type (IoT vs. Non-IoT) 2019 – 2024       
Table 11: DaaS Market by Hosting Type2019 – 2024
Table 12: DaaS Market by Pricing Model 2019 – 2024
Table 13: DaaS Market by Service 2019 – 2024
Table 14: DaaS Market by Industry Vertical 2019 – 2024
Table 15: North America DaaS Market by Sector 2019 – 2024        
Table 16: North America DaaS Market for Type of Public Data 2019 – 2024
Table 17: North America DaaS Market by Solution using Public Data 2019 – 2024
Table 18: North America DaaS Market by Enterprise and Industrial Data 2019 – 2024
Table 19: North America DaaS Market by Solution using Business Data 2019 – 2024
Table 20: North America DaaS Market by Data Source (Machine vs. Non-machine) 2019 – 2024
Table 21: North America DaaS Market by Data Collection Type 2019 – 2024
Table 22: North America DaaS Market by Hosting Type 2019 – 2024
Table 23: North America DaaS Market by Pricing Model  2019 – 2024
Table 24: North America DaaS Market by Service 2019 – 2024
Table 25: North America DaaS Market by type of Industry 2019 – 2024
Table 26: South America DaaS Market by Sector 2019 – 2024
Table 27: South America DaaS Market by Public Data Type 2019 – 2024
Table 28: South America DaaS Market by Solution using Public Data 2019 – 2024
Table 29: South America DaaS Market by Enterprise and Industrial Data 2019 – 2024
Table 30: South America DaaS Market by Solution using Business Data 2019 – 2024
Table 31: South America DaaS Market by Data Source Type 2019 – 2024
Table 32: South America DaaS Market by Data Collection Type 2019 – 2024
Table 33: South America DaaS Market Hosting Type 2019 – 2024
Table 34: South America DaaS Market by Pricing Model 2019 – 2024
Table 35: South America DaaS Market by Service 2019 – 2024
Table 36: South America DaaS Market by Industry Vertical 2019 – 2024
Table 37: Western Europe DaaS Market by Sector 2019 – 2024
Table 38: Western Europe DaaS Market by Public Data Type 2019 – 2024
Table 39: Western Europe DaaS Market by Solution using Public Data 2019 – 2024
Table 40: Western Europe: DaaS Market for Business Data 2019 – 2024
Table 41: Western Europe: DaaS Market by Solution using Business Data 2019 – 2024
Table 42: Western Europe DaaS Market by Data Source Type 2019 – 2024
Table 43: Western Europe DaaS Market by Data Collection Type 2019 – 2024
Table 44: Western Europe DaaS Market by Hosting Type 2019 – 2024
Table 45: Western Europe DaaS Market by Pricing Model 2019 – 2024
Table 46: Western Europe DaaS Market by Service 2019 – 2024
Table 47: Western Europe DaaS Market by Industry Vertical 2019 – 2024
Table 48: Central & Eastern Europe DaaS Market by Sector 2019 – 2024
Table 49: Central & Eastern Europe DaaS Market by Public Data Type 2019 – 2024
Table 50: Central & Eastern Europe DaaS Market by Solution using Public Data 2019 – 2024
Table 51: Central & Eastern Europe DaaS Market for Business Data 2019 – 2024
Table 52: Central & Eastern Europe DaaS Market by Solution using Business Data 2019 – 2024      
Table 53: Central & Eastern Europe DaaS Market by Data Source Type 2019 – 2024
Table 54: Central & Eastern Europe DaaS Market by Data Collection Type 2019 – 2024      
Table 55: Central & Eastern Europe DaaS Market by Hosting Type 2019 – 2024
Table 56: Central & Eastern Europe DaaS Market by Pricing Model 2019 – 2024    
Table 57: Central & Eastern Europe DaaS Market by Service 2019 – 2024
Table 58: Central & Eastern Europe DaaS Market by Industry Vertical 2019 – 2024
Table 59: Asia Pacific DaaS Market by Sector 2019 – 2024
Table 60: Asia Pacific DaaS Market by Public Data Type 2019 – 2024
Table 61: Asia Pacific DaaS Market by Solution using Public Data 2019 – 2024
Table 62: Asia Pacific DaaS Market for Business Data 2019 – 2024
Table 63: Asia Pacific DaaS Market by Solution using Business Data 2019 – 2024
Table 64: Asia Pacific DaaS Market by Data Source Type 2019 – 2024
Table 65: Asia Pacific DaaS Market by Data Collection Type 2019 – 2024   
Table 66: Asia Pacific DaaS Market by Hosting Type 2019 – 2024
Table 67: Asia Pacific DaaS Market by Pricing Model 2019 – 2024
Table 68: Asia Pacific DaaS Market by Service 2019 – 2024
Table 69: Asia Pacific DaaS Market by Industry Vertical 2019 – 2024
Table 70: Middle East & Africa DaaS Market by Sector 2019 – 2024
Table 71: Middle East & Africa DaaS Market by Public Data Type 2019 – 2024
Table 72: Middle East & Africa DaaS Market by Solution using Public Data 2019 – 2024
Table 73: Middle East & Africa DaaS Market for Business Data 2019 – 2024
Table 74: Middle East & Africa DaaS Market by Solution using Business Data 2019 – 2024
Table 75: Middle East & Africa DaaS Market by Data Source Type 2019 – 2024       
Table 76: Middle East & Africa DaaS Market by Data Collection Type 2019 – 2024
Table 77: Middle East & Africa DaaS Market by Hosting Type 2019 – 2024                
Table 78: Middle East & Africa DaaS Market by Pricing Model 2019 – 2024
Table 79: Middle East & Africa DaaS Market by Service 2019 – 2024
Table 80: Middle East & Africa DaaS Market by Industry Vertical 2019 – 2024