Big Data in Internet of Things: IoT Data Management, Analytics, and Decision Making 2018 – 2023
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Data that is uncorrelated and does not have a pre-defined data model and is not organized in a pre-defined manner requires special handling and analytics techniques. The common industry term, Big Data, represents unstructured data sets that are large, complex, and prohibitively difficult to process using traditional management tools. As the Internet of Things (IoT) progresses, there will an increasingly large amount of unstructured machine data. The growing amount of human-oriented and machine generated data will drive substantial opportunities for AI support of unstructured data analytics solutions.
Big Data in IoT is different than conventional IoT and thus will requires more robust, agile and scalable platforms, analytical tools and data storage systems than conventional Big Data infrastructure. Looking beyond data management processes, IoT data itself will become extremely valuable as an agent of change for product development as well as identification of supply gaps and realization of unmet demands. Big Data and Analytics used in IoT will become an enabler for the entire IoT ecosystem and business as a whole as enterprise begins to syndicate their own data.
This report evaluates the technologies, companies, and solutions for leveraging Big Data tools and advanced analytics for IoT data processing. Emphasis is placed on leveraging IoT data for process improvement, new and improved products, and ultimately enterprise IoT data syndication. The report includes detailed forecasts for 2018 through 2023. All direct purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.
Title: Big Data in Internet of Things: IoT Data Management, Analytics, and Decision Making 2018 – 2023
Published: December 2018
Pages: 227
Global Enterprise License: $ 4,995 USD
Report Benefits:
Target Audience:
Companies in Report:
Table of Contents:
1 Executive Summary
2 Big Data in Internet of Things
2.1 Big Data Framework for IoT
2.2 Need for New Protocols, Platforms, Streaming and Parsing, Software and Analytical Tools
2.2.1 Big Data in IoT will need Unified Logging Layer
2.2.1.1 Fluentd
2.2.2 Big Data in IoT Data Formats
2.2.2.1 JavaScript Object Notation
2.2.3 Big Data in IoT Protocols
2.2.3.1 Message Queuing Telemetry Transport
2.2.3.1.1 Open Source OASIS Standard
2.2.3.2 Extensible Messaging and Presence Protocol
2.2.3.3 Advanced Message Queuing Protocol
2.2.4 Big Data in IoT Protocols for Network Interoperability
2.2.4.1 Data Distribution Service
2.2.5 Big Data in IoT Data Processing Scalability
2.3 Big Data in IoT Challenges
2.3.1.1 Scalable High-volume Data Storage
2.3.1.2 Data Management and Processing Raw Data in Multi-vendor Environment
2.3.2 Data Security and Personal Information Privacy Challenges
3 Big Data in IoT Business Trends and Predictions
3.1 Large Companies Partnerships and M&A
3.2 Big Data as a Service for IoT Becomes Mainstream
3.3 M2M Analytics and Cloud Services will be Early Beneficiaries
3.4 Flexible and Scalable Revenue Models for Big Data Services
3.5 Big Data Operational Savings and New Business
4 Big Data in IoT Vendor Ecosystem
4.1 Cloud based Analytics Platforms for IoT
4.2 Cloud-based Data Storage Service and Management Toolsets
4.3 Big Data Processing for Massive Data Analysis
4.4 Compute, Store, and Analyze Data at the Edge of Networks
4.5 Predictive Platforms and Solutions
4.6 Cloud based Analytics Systems for IoT
4.7 Database System Upgrades and Evolution
4.8 Analytics Platform Upgrades and Evolution
4.9 Real Time DDS and Comprehensive Messaging Platforms
5 Big Data in IoT Market Analysis and Forecasts
5.1 Driving Factors for Big Data in IoT
5.1.1 Consumer IoT
5.1.2 Industrial IoT (IIoT)
5.1.3 Enterprise IoT
5.2 Overall Global Market for Big Data in IoT 2018 – 2023
5.3 Global Big Data Solutions in IoT Market 2018 – 2023
5.4 Global Big Data in IoT Hardware, Software, and Services 2018 – 2023
5.5 Global Big Data in IoT Products and Services 2018 – 2023
5.5.1 Market for Big Data Collection in IoT 2018 – 2023
5.5.2 Market for Big Data Storage in IoT 2018 – 2023
5.5.3 Market for Big Data Analytics and Applications in IoT 2018 – 2023
5.5.4 Markets for Big Data as a Service in IoT 2018 – 2023
5.6 Big Data in IoT by Industry 2018 – 2023
5.6.1 Big Data in IoT for Building Automation 2018 – 2023
5.6.2 Big Data in IoT for Consumer Electronics 2018 – 2023
5.6.3 Big Data in IoT for Financial Services 2018 – 2023
5.6.4 Big Data in IoT for Government 2018 – 2023
5.6.5 Big Data in IoT for Healthcare 2018 – 2023
5.6.6 Big Data in IoT for Manufacturing 2018 – 2023
5.6.7 Big Data in IoT for Oil and Gas 2018 – 2023
5.6.8 Big Data in IoT for Retail Industry 2018 – 2023
5.6.9 Big Data in IoT for Telecom (ICT Industry) 2018 – 2023
5.6.10 Big Data in IoT for Transport and Cargo 2018 – 2023
5.6.11 Big Data in IoT for Utilities Industry 2018 – 2023
6 Key Companies
6.1 1010Data (Advance Communication Corp.)
6.2 Accenture
6.3 Actian Corporation
6.4 AdvancedMD
6.5 Alation
6.6 Allscripts Healthcare Solutions
6.7 Alpine Data Labs
6.8 Alteryx
6.9 Amazon
6.10 Anova Data
6.11 Apache Software Foundation
6.12 Apple Inc.
6.13 APTEAN (Formerly CDC Software)
6.14 Athena Health Inc.
6.15 Attunity
6.16 Booz Allen Hamilton
6.17 Bosch Software Innovations: Bosch IoT Suite
6.18 BGI
6.19 Big Panda
6.20 Bina Technologies Inc.
6.21 Capgemini
6.22 Cerner Corporation
6.23 Cisco Systems
6.24 CLC Bio
6.25 Cloudera
6.26 Cogito Ltd.
6.27 Compuverde
6.28 CRAY Inc.
6.29 Computer Science Corporation (CSC)
6.30 Crux Informatics
6.31 Ctrl Shift
6.32 Cvidya
6.33 Cybatar
6.34 DataDirect Network
6.35 Data Inc.
6.36 Databricks
6.37 Dataiku
6.38 Datameer
6.39 Data Stax
6.40 Definiens
6.41 Dell EMC
6.42 Deloitte
6.43 Domo
6.44 eClinicalWorks
6.45 Epic Systems Corporation
6.46 Facebook
6.47 Fluentd
6.48 Flytxt
6.49 Fujitsu
6.50 Genalice
6.51 General Electric
6.52 GenomOncology
6.53 GoodData Corporation
6.54 Google
6.55 Greenplum
6.56 Grid Gain Systems
6.57 Groundhog Technologies
6.58 Guavus
6.59 Hack/reduce
6.60 HPCC Systems
6.61 HP Enterprise
6.62 Hitachi Data Systems
6.63 Hortonworks
6.64 IBM
6.65 Illumina Inc
6.66 Imply Corporation
6.67 Informatica
6.68 Inter Systems Corporation
6.69 Intel
6.70 IVD Industry Connectivity Consortium-IICC
6.71 Jasper (Cisco Jasper)
6.72 Juniper Networks
6.73 Knome,Inc.
6.74 Leica Biosystems (Danaher)
6.75 Longview
6.76 MapR
6.77 Marklogic
6.78 Mayo Medical Laboratories
6.79 McKesson Corporation
6.80 Medical Information Technology Inc. (MEDITECH)
6.81 Medio
6.82 Medopad
6.83 Microsoft
6.84 Microstrategy
6.85 MongoDB (Formerly 10Gen)
6.86 MU Sigma
6.87 N-of-One
6.88 Netapp
6.89 NTT Data
6.90 Open Text (Actuate Corporation)
6.91 Opera Solutions
6.92 Oracle
6.93 Palantir Technologies Inc.
6.94 Pathway Genomics Corporation
6.95 Perkin Elmer
6.96 Pentaho (Hitachi)
6.97 Platfora
6.98 Qlik Tech
6.99 Quality Systems Inc (QSI)
6.100 Quantum
6.101 Quertle
6.102 Quest Diagnostics Inc.
6.103 Rackspace
6.104 Red Hat
6.105 Revolution Analytics
6.106 Roche Diagnostics
6.107 Rocket Fuel Inc.
6.108 Salesforce
6.109 SAP
6.110 SAS Institute
6.111 Selventa Inc.
6.112 Sense Networks
6.113 Shanghai Data Exchange
6.114 Sisense
6.115 Social Cops
6.116 Software AG/Terracotta
6.117 Sojern
6.118 Splice Machine
6.119 Splunk
6.120 Sqrrl
6.121 Sumo Logic
6.122 Sunquest Information Systems
6.123 Supermicro
6.124 Tableau Software
6.125 Tableau
6.126 Tata Consultancy Services
6.127 Teradata
6.128 ThetaRay
6.129 Thoughtworks
6.130 Think Big Analytics
6.131 TIBCO
6.132 Tube Mogul
6.133 Verint Systems
6.134 VolMetrix
6.135 VMware (Part of EMC)
6.136 Wipro
6.137 Workday (Platfora)
6.138 WuXi NextCode Genomics
6.139 Zoomdata
Figures
Figure 1: Framework for Big Data in IoT
Figure 2: Operational and New revenue Benefits of Big Data in IoT
Figure 3: Big Data in Internet of Things
Figure 4: Big Data in IoT by Solution 2018 – 2023
Figure 5: Big Data in IoT Products and Services 2018 – 2023
Figure 6: Market for Big Data Collection in IoT 2018 – 2023
Figure 7: Regional Market for Big Data Collection in IoT 2018 – 2023
Figure 8: Market for Big Data Storage in IoT 2018 – 2023
Figure 9: Regional Market for Big Data Storage in IoT 2018 – 2023
Figure 10: Market for Big Data Analytics and Applications in IoT 2018 – 2023
Figure 11: Regional Markets for Big Data Analytics and Applications in IoT 2018 – 2023
Figure 12: Market for Big Data as a Service in IoT 2018 – 2023
Figure 13: Regional Markets for Big Data as a Service in IoT 2018 to 2023
Figure 14: Big Data in IoT by Industry Vertical 2018 – 2023
Figure 15: Big Data in IoT for Building Automation 2018 – 2023
Figure 16: Big Data in IoT for Consumer Electronics 2018 – 2023
Figure 17: Big Data in IoT for Financial Services 2018 – 2023
Figure 18: Big Data in IoT for Government 2018 – 2023
Figure 19: Big Data in IoT for Healthcare 2018 – 2023
Figure 20: Big Data in IoT for Manufacturing 2018 – 2023
Figure 21: Big Data in IoT for Oil &Gas 2018 – 2023
Figure 22: Big Data in IoT for Retail Industry 2018 – 2023
Figure 23: Big Data in IoT for ICT Industry 2018 – 2023
Figure 24: Big Data in IoT for Transport and Cargo 2018 – 2023
Figure 25: Big Data in IoT for Utilities 2018 – 2023
Tables
Table 1: Big Data in Internet of Things
Table 2: Market for Big Data in IoT by Solution Type 2018 – 2023
Table 3: Market for Big Data in IoT by Hardware, Software, and Services 2018 – 2023
Table 4: Big Data in IoT Products and Services 2018 – 2023
Table 5: Market for Big Data Collection in IoT 2018 – 2023
Table 6: Regional Markets for Big Data Collection in IoT 2018 – 2023
Table 7: Market for Big Data Storage in IoT 2018 – 2023
Table 8: Regional Markets for Big Data Storage Infrastructure in IoT 2015 – 2020
Table 9: Market for Big Data Analytics and Applications in IoT 2018 – 2023
Table 10: Regional Markets for Big Data Analytics and Applications in IoT 2018 to 2023
Table 11: Market for Big Data as a Service in IoT 2018 – 2023
Table 12: Regional Market for Big Data as a Service in IoT 2018 – 2023
Table 13: Big Data in IoT by Industry Vertical 2018 – 2023
Published: December 2018
Pages: 227
Global Enterprise License: $ 4,995 USD
Report Benefits:
- Forecasts (global, regional, and by industry) to 2023
- Understand the role and importance of Big Data in IoT
- Identify key market issues and drivers for Big Data in IoT
- Identify leading companies for Big Data and Analytics in IoT
- Understand the emerging vendor ecosystem for Big Data in IoT
- Identify areas for infrastructure, platform, and software investment
Target Audience:
- ICT infrastructure suppliers
- Big Data and analytics companies
- Data as a Service (DaaS) companies
- Application developers and aggregators
- Cloud-based service providers of all types
- Managed service and middleware companies
- Data processing and management companies
Companies in Report:
- 1010Data (Advance Communication Corp.)
- Accenture
- Actian Corporation
- Alteryx
- Amazon
- Anova Data
- Apache Software Foundation
- Aptean (Formerly CDC Software)
- Booz Allen Hamilton
- Bosch Software Innovations
- Capgemini
- Cisco Systems
- Cloudera
- Computer Science Corporation (CSC)
- Cray Inc.
- Datadirect Network
- Dell EMC
- Deloitte
- Fujitsu
- General Electric
- Gooddata Corporation
- Guavus
- Hitachi Data Systems
- Hortonworks
- HP Enterprise
- IBM
- Informatica
- Intel
- Jasper (Cisco Jasper)
- Juniper Networks
- Longview
- Marklogic
- Microsoft
- Microstrategy
- Mongodb (Formerly 10Gen)
- Mu Sigma
- Netapp
- NTT Data
- Open Text (Actuate Corporation)
- Opera Solutions
- Oracle
- Pentaho (Hitachi)
- Qlik Tech
- Quantum
- Rackspace
- Revolution Analytics
- Salesforce
- Sap
- Sisense
- Software Ag/Terracotta
- Splunk
- Sqrrl
- Supermicro
- Tableau Software
- Tata Consultancy Services
- Teradata
- Think Big Analytics
- Tibco
- Verint Systems
- Vmware (Part Of EMC)
- Workday (Platfora)
- SAS Institute
- Wipro
Table of Contents:
1 Executive Summary
2 Big Data in Internet of Things
2.1 Big Data Framework for IoT
2.2 Need for New Protocols, Platforms, Streaming and Parsing, Software and Analytical Tools
2.2.1 Big Data in IoT will need Unified Logging Layer
2.2.1.1 Fluentd
2.2.2 Big Data in IoT Data Formats
2.2.2.1 JavaScript Object Notation
2.2.3 Big Data in IoT Protocols
2.2.3.1 Message Queuing Telemetry Transport
2.2.3.1.1 Open Source OASIS Standard
2.2.3.2 Extensible Messaging and Presence Protocol
2.2.3.3 Advanced Message Queuing Protocol
2.2.4 Big Data in IoT Protocols for Network Interoperability
2.2.4.1 Data Distribution Service
2.2.5 Big Data in IoT Data Processing Scalability
2.3 Big Data in IoT Challenges
2.3.1.1 Scalable High-volume Data Storage
2.3.1.2 Data Management and Processing Raw Data in Multi-vendor Environment
2.3.2 Data Security and Personal Information Privacy Challenges
3 Big Data in IoT Business Trends and Predictions
3.1 Large Companies Partnerships and M&A
3.2 Big Data as a Service for IoT Becomes Mainstream
3.3 M2M Analytics and Cloud Services will be Early Beneficiaries
3.4 Flexible and Scalable Revenue Models for Big Data Services
3.5 Big Data Operational Savings and New Business
4 Big Data in IoT Vendor Ecosystem
4.1 Cloud based Analytics Platforms for IoT
4.2 Cloud-based Data Storage Service and Management Toolsets
4.3 Big Data Processing for Massive Data Analysis
4.4 Compute, Store, and Analyze Data at the Edge of Networks
4.5 Predictive Platforms and Solutions
4.6 Cloud based Analytics Systems for IoT
4.7 Database System Upgrades and Evolution
4.8 Analytics Platform Upgrades and Evolution
4.9 Real Time DDS and Comprehensive Messaging Platforms
5 Big Data in IoT Market Analysis and Forecasts
5.1 Driving Factors for Big Data in IoT
5.1.1 Consumer IoT
5.1.2 Industrial IoT (IIoT)
5.1.3 Enterprise IoT
5.2 Overall Global Market for Big Data in IoT 2018 – 2023
5.3 Global Big Data Solutions in IoT Market 2018 – 2023
5.4 Global Big Data in IoT Hardware, Software, and Services 2018 – 2023
5.5 Global Big Data in IoT Products and Services 2018 – 2023
5.5.1 Market for Big Data Collection in IoT 2018 – 2023
5.5.2 Market for Big Data Storage in IoT 2018 – 2023
5.5.3 Market for Big Data Analytics and Applications in IoT 2018 – 2023
5.5.4 Markets for Big Data as a Service in IoT 2018 – 2023
5.6 Big Data in IoT by Industry 2018 – 2023
5.6.1 Big Data in IoT for Building Automation 2018 – 2023
5.6.2 Big Data in IoT for Consumer Electronics 2018 – 2023
5.6.3 Big Data in IoT for Financial Services 2018 – 2023
5.6.4 Big Data in IoT for Government 2018 – 2023
5.6.5 Big Data in IoT for Healthcare 2018 – 2023
5.6.6 Big Data in IoT for Manufacturing 2018 – 2023
5.6.7 Big Data in IoT for Oil and Gas 2018 – 2023
5.6.8 Big Data in IoT for Retail Industry 2018 – 2023
5.6.9 Big Data in IoT for Telecom (ICT Industry) 2018 – 2023
5.6.10 Big Data in IoT for Transport and Cargo 2018 – 2023
5.6.11 Big Data in IoT for Utilities Industry 2018 – 2023
6 Key Companies
6.1 1010Data (Advance Communication Corp.)
6.2 Accenture
6.3 Actian Corporation
6.4 AdvancedMD
6.5 Alation
6.6 Allscripts Healthcare Solutions
6.7 Alpine Data Labs
6.8 Alteryx
6.9 Amazon
6.10 Anova Data
6.11 Apache Software Foundation
6.12 Apple Inc.
6.13 APTEAN (Formerly CDC Software)
6.14 Athena Health Inc.
6.15 Attunity
6.16 Booz Allen Hamilton
6.17 Bosch Software Innovations: Bosch IoT Suite
6.18 BGI
6.19 Big Panda
6.20 Bina Technologies Inc.
6.21 Capgemini
6.22 Cerner Corporation
6.23 Cisco Systems
6.24 CLC Bio
6.25 Cloudera
6.26 Cogito Ltd.
6.27 Compuverde
6.28 CRAY Inc.
6.29 Computer Science Corporation (CSC)
6.30 Crux Informatics
6.31 Ctrl Shift
6.32 Cvidya
6.33 Cybatar
6.34 DataDirect Network
6.35 Data Inc.
6.36 Databricks
6.37 Dataiku
6.38 Datameer
6.39 Data Stax
6.40 Definiens
6.41 Dell EMC
6.42 Deloitte
6.43 Domo
6.44 eClinicalWorks
6.45 Epic Systems Corporation
6.46 Facebook
6.47 Fluentd
6.48 Flytxt
6.49 Fujitsu
6.50 Genalice
6.51 General Electric
6.52 GenomOncology
6.53 GoodData Corporation
6.54 Google
6.55 Greenplum
6.56 Grid Gain Systems
6.57 Groundhog Technologies
6.58 Guavus
6.59 Hack/reduce
6.60 HPCC Systems
6.61 HP Enterprise
6.62 Hitachi Data Systems
6.63 Hortonworks
6.64 IBM
6.65 Illumina Inc
6.66 Imply Corporation
6.67 Informatica
6.68 Inter Systems Corporation
6.69 Intel
6.70 IVD Industry Connectivity Consortium-IICC
6.71 Jasper (Cisco Jasper)
6.72 Juniper Networks
6.73 Knome,Inc.
6.74 Leica Biosystems (Danaher)
6.75 Longview
6.76 MapR
6.77 Marklogic
6.78 Mayo Medical Laboratories
6.79 McKesson Corporation
6.80 Medical Information Technology Inc. (MEDITECH)
6.81 Medio
6.82 Medopad
6.83 Microsoft
6.84 Microstrategy
6.85 MongoDB (Formerly 10Gen)
6.86 MU Sigma
6.87 N-of-One
6.88 Netapp
6.89 NTT Data
6.90 Open Text (Actuate Corporation)
6.91 Opera Solutions
6.92 Oracle
6.93 Palantir Technologies Inc.
6.94 Pathway Genomics Corporation
6.95 Perkin Elmer
6.96 Pentaho (Hitachi)
6.97 Platfora
6.98 Qlik Tech
6.99 Quality Systems Inc (QSI)
6.100 Quantum
6.101 Quertle
6.102 Quest Diagnostics Inc.
6.103 Rackspace
6.104 Red Hat
6.105 Revolution Analytics
6.106 Roche Diagnostics
6.107 Rocket Fuel Inc.
6.108 Salesforce
6.109 SAP
6.110 SAS Institute
6.111 Selventa Inc.
6.112 Sense Networks
6.113 Shanghai Data Exchange
6.114 Sisense
6.115 Social Cops
6.116 Software AG/Terracotta
6.117 Sojern
6.118 Splice Machine
6.119 Splunk
6.120 Sqrrl
6.121 Sumo Logic
6.122 Sunquest Information Systems
6.123 Supermicro
6.124 Tableau Software
6.125 Tableau
6.126 Tata Consultancy Services
6.127 Teradata
6.128 ThetaRay
6.129 Thoughtworks
6.130 Think Big Analytics
6.131 TIBCO
6.132 Tube Mogul
6.133 Verint Systems
6.134 VolMetrix
6.135 VMware (Part of EMC)
6.136 Wipro
6.137 Workday (Platfora)
6.138 WuXi NextCode Genomics
6.139 Zoomdata
Figures
Figure 1: Framework for Big Data in IoT
Figure 2: Operational and New revenue Benefits of Big Data in IoT
Figure 3: Big Data in Internet of Things
Figure 4: Big Data in IoT by Solution 2018 – 2023
Figure 5: Big Data in IoT Products and Services 2018 – 2023
Figure 6: Market for Big Data Collection in IoT 2018 – 2023
Figure 7: Regional Market for Big Data Collection in IoT 2018 – 2023
Figure 8: Market for Big Data Storage in IoT 2018 – 2023
Figure 9: Regional Market for Big Data Storage in IoT 2018 – 2023
Figure 10: Market for Big Data Analytics and Applications in IoT 2018 – 2023
Figure 11: Regional Markets for Big Data Analytics and Applications in IoT 2018 – 2023
Figure 12: Market for Big Data as a Service in IoT 2018 – 2023
Figure 13: Regional Markets for Big Data as a Service in IoT 2018 to 2023
Figure 14: Big Data in IoT by Industry Vertical 2018 – 2023
Figure 15: Big Data in IoT for Building Automation 2018 – 2023
Figure 16: Big Data in IoT for Consumer Electronics 2018 – 2023
Figure 17: Big Data in IoT for Financial Services 2018 – 2023
Figure 18: Big Data in IoT for Government 2018 – 2023
Figure 19: Big Data in IoT for Healthcare 2018 – 2023
Figure 20: Big Data in IoT for Manufacturing 2018 – 2023
Figure 21: Big Data in IoT for Oil &Gas 2018 – 2023
Figure 22: Big Data in IoT for Retail Industry 2018 – 2023
Figure 23: Big Data in IoT for ICT Industry 2018 – 2023
Figure 24: Big Data in IoT for Transport and Cargo 2018 – 2023
Figure 25: Big Data in IoT for Utilities 2018 – 2023
Tables
Table 1: Big Data in Internet of Things
Table 2: Market for Big Data in IoT by Solution Type 2018 – 2023
Table 3: Market for Big Data in IoT by Hardware, Software, and Services 2018 – 2023
Table 4: Big Data in IoT Products and Services 2018 – 2023
Table 5: Market for Big Data Collection in IoT 2018 – 2023
Table 6: Regional Markets for Big Data Collection in IoT 2018 – 2023
Table 7: Market for Big Data Storage in IoT 2018 – 2023
Table 8: Regional Markets for Big Data Storage Infrastructure in IoT 2015 – 2020
Table 9: Market for Big Data Analytics and Applications in IoT 2018 – 2023
Table 10: Regional Markets for Big Data Analytics and Applications in IoT 2018 to 2023
Table 11: Market for Big Data as a Service in IoT 2018 – 2023
Table 12: Regional Market for Big Data as a Service in IoT 2018 – 2023
Table 13: Big Data in IoT by Industry Vertical 2018 – 2023
