Twitter Followers Save with “Mind Commerce Social”

We are pleased to announce a new program for anyone that follows Mind Commerce on Twitter @MindCommerce. We call this program Mind Commerce Social

No special code required. Simply follow us on Twitter.

Discount for Mind Commerce Twitter Followers

The Mind Commerce Social discount for ordering direct to Mind Commerce is currently* 10%

*Offer good until cancelled or planned expiration on 31st December 2018

This offer applies to any/all research including the hottest topics and best sellers in major categories such as 5G, AI, Big Data, Cloud Computing, Data Analytics, Edge Computing, IoT, Robotics, Quantum Computing, and more.

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Follow Mind Commerce on Twitter @MindCommerce

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To get started with Mind Commerce Social savings on Information and Communications Technology (ICT) market research, simply visit the Mind Commerce Twitter page and follow us.

Next we recommend that you visit our research offerings to determine your needs.

Any questions? Contact us.  We look forward to hearing from you!

About Mind Commerce

We are a leading provider of ICT market research. Since we focus only on ICT, we are experts in practice areas. We broadly cover communications, applications, content, and commerce. We concentrate on emerging and disintermediating technologies such as 5G, AI, and IoT.

Major industry verticals we cover include Agriculture, Manufacturing, and Smart Buildings to name a few. Our premium B2B service customers include global ICT companies, enterprise, government, and NGOs.

 

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Mind Commerce joins Friends of BIG

Blockchain Industry Group (BIG)

The mission of BIG is to promote blockchain technologies and digital currencies. Big advisors are globally recognized blockchain experts. BIG Ambassadors are nationally recognized blockchain experts, leaders and influencers. BIG Partners are prominent and leading companies that share a common desire to promote and advance the blockchain industry.

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Visit blockchainindustrygroup.org to find interviews with the blockchain industry experts, leaders and influencers as well as other valuable content.

BIG is founded by Peter Lee who is also founder of the TriStone Consulting Group.

Friends of BIG

Selected by BIG because of Mind Commerce fulfilling an important industry function in terms of our market research practice that includes a focus on blockchain and other disintermediating technologies, we are pleased to say that Mind Commerce is a Friend of Big.

Friends of BIG are leaders in the industry, such as Scienceroot, the first blockchain-based scientific ecosystem to integrate a Social Media Scientific Network, Funding Platform and Decentralized Publishing Framework. It will cover all the required functionalities during the scientific discovery process.

Mind Commerce Blockchain Research

We have covered blockchain technology and solutions for over two years. Most recently, we issued a report entitled Blockchain Technology and Solutions: Market Outlook and Forecasts 2018 – 2023, which examines the technology, leading companies, and solutions in the evolving blockchain ecosystem.

Blockchain_2018-2023

The report evaluates current and anticipated use cases for blockchain and assesses the market potential globally, regionally, and segmented by deployment type and industry vertical for the period 2018 to 2023.

The report evaluates key players, solutions, and use cases. The report also assesses the prospect of integrating blockchain with other technologies including IoT and artificial intelligence. The report includes detailed forecasts by use case, application, and industry verticals from 2018 to 2023.

Also see the Mind Commerce Blockchain Technology Solutions page.

 

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Cyber Security for Financial Services

Explore Exhibitions and Conference is taking a step to address the cyber security challenges of the country by bringing in the key stakeholders from the financial institutions and foster an engagement between public and private enterprises to address the potential threats and vulnerabilities.

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The Cyber Security for Financial Services will be held on 10th & 11th July 2018, Colombo, Sri Lanka. The summit will witness 150+ key decision makers from a wide range of businesses within the BFSI vertical and also introduce regional and international speakers to educate and help implement the strategies to safeguard critical data.

Key Topics of Discussions :

  • Mitigating the Risks of Increasing Cyber Attacks in Sri Lankan Financial Services Sector
  • Minimizing the Challenges of Big Data Protection in Banks and Financial Institutions
  • Increasing the Dependency and Viability of Cloud in the Banking Services
  • Identifying Financial Fraud and its implications on the Financial Sector
  • Integrating Social Media in the Banking Websites
  • Educating the Impact of Blockchain in Cyber Security
  • Revolutionizing Financial Organizations with Blockchain

Key Benefits:

  • Discover new technology and solutions helping you to achieve optimum cyber preparedness
  • Learn about guidelines & legislations laid by the regulators
  • Understand the latest threat vectors affecting the financial sector

For details visit: www.exploreexhibitions.com/cybersecurity or contact   samantha@exploreexhibitions.com  /  +91 7022871384

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Cloud Computing in Industrial IoT: Cloud-based IIoT Software, Platforms, and Edge Computing Infrastructure 2018 – 2023

Mind Commerce is pleased to release our latest research covering the convergence of Cloud Computing and Industrial IoT technologies and solutions.

Options for Purchase: Single-user | Multi-user | Company-wide License

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The report, Cloud Computing in Industrial IoT: Cloud-based IIoT Software, Platforms, and Edge Computing Infrastructure 2018 – 2023, provides analysis of cloud computing and IIoT technologies and solutions.

It includes a comprehensive assessment of cloud infrastructure and deployment types including detailed analysis of edge computing.  This includes a concentrated focus on Mobile Edge Computing (MEC)

Cloud Computing in IIoT Report Overview

Enterprise and industrial focused businesses have many telecom and IT related decisions to make about ICT infrastructure and services.  Two of the most important areas are cloud computing and Internet of Things (IoT).

Mobile Edge Computing (MEC) in particular is anticipated to become a major complement to enterprise computing infrastructure.  While both computing and IIoT require considerable planning and often considerable investment, the payoff is quite substantial for companies that make the right decisions about integrating new technologies with existing systems and processes.

The initial return on investment continues to be largely cost reduction, but new and enhanced products and services, as well as improved customer intimacy are clearly the longer term benefits.

Cloud in IIoT Industry Impact

This latest Mind Commerce research into the convergence of IoT and Cloud infrastructure has unveiled significant opportunities for enterprise to leverage emerging solutions involving edge computing. In fact, we see industrial IoT (IIoT) solutions involving streaming data and real-time analytics as a key value-added function for many industry verticals including healthcare, manufacturing, and transportation.

Manufacturing, industrial automation, and robotics are key sectors that will benefit substantially from MEC.  For example, prior to edge computing implementation, teleoperation and tele-robotics are largely relegated to fixed communications connections.  MEC will enable teleoperation anywhere there is advanced LTE or 5G coverage, enabling many new consumer and industrial automation scenarios involving robotics.

Cloud in IIoT Report Details

This research evaluates the technologies and solutions involved in cloud computing for IIoT systems. It provides a comprehensive assessment of cloud infrastructure and deployment types including detailed analysis of edge computing.

This research analyzes emerging Mobile Edge Computing (MEC) systems and solutions, which is anticipated to be an integral part of IIoT systems as a whole, as well as the cornerstone for capturing streaming data and performing real-time data analytics.  Integration of cloud-based infrastructure and service models with IIoT is evaluated.

This research includes detailed forecasts for 2018 to 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.

Target Audience:

  • Data analytics providers
  • Wireless service providers
  • ICT managed service providers
  • Software, App, and Content Providers
  • Wireless/mobile infrastructure providers
  • Cloud and IoT product and service providers

Companies Covered: 

  • ADLINK Technology Inc.
  • Advanced Micro Devices
  • Advantech
  • Akamai Technologies
  • Allot Communications
  • Amazon Web Services
  • Amplía Soluciones SL
  • AT&T Inc.
  • Aware360 Ltd.
  • Brocade Communications Systems
  • C3IoT
  • Carriots
  • Cavium Networks
  • Ceragon Networks
  • Cisco Systems
  • CISCO Systems Inc.
  • Cumulocity GmBH
  • Echelon Corporation
  • Enterox Systems
  • Fujitsu Ltd.
  • Fujitsu Technology Solutions
  • General Electric
  • Hewlett Packard Enterprise
  • Honeywell International
  • Huawei Technologies Co. Ltd
  • IBM Corporation
  • Integrated Device Technology
  • Intel Corporation
  • InterDigital Inc.
  • Juniper Networks
  • Losant IoT Inc.
  • Meshify
  • Microsoft Corporation
  • NEC Corporation
  • Nokia Corporation
  • PeerApp Ltd.
  • PTC
  • Quortus
  • Real Time Innovation
  • Reali Technologies Ltd
  • Redhat, Inc.
  • Robert Bosch GmbH
  • Saguna Networks
  • Samsung Electronics Co., Ltd
  • SAP SE
  • Siemens AG
  • Sierra Wireless Inc.
  • Sony Corporation
  • SpiderCloud Wireless
  • TempolQ
  • io
  • Uptake Technologies Inc.
  • Vasona Networks
  • XILINX Inc.
  • XMPro

Cloud Computing in IIoT Report Table of Contents

Cloud Computing in Industrial IoT 2018 – 2023

1              Overview

1.1          Cloud Computing

1.2          Cloud Computing Structure

1.3          Traditional Industrial IoT Challenges

1.4          Cloud Computing in Industrial IoT

1.5          Consumer vs. Industrial Cloud Platforms

1.6          Evolution of Fog Computing

1.7          IIoT Cloud Computing Benefits

1.8          Industrial Internet and IIoT

2              IIoT Cloud Computing Ecosystem

2.1          IIoT Cloud Computing Services

2.1.1      Infrastructure as a Service

2.1.2      Platform as a Service

2.1.3      Software as a Service

2.2          Cloud Computing Deployment

2.3          IIoT Cloud Computing Applications

2.4          Cloud Manufacturing

2.5          Software Defined IIoT and Industry 4.0

2.6          Smart Connected Enterprise and Workplace

2.7          Cloud Technology in Robotics

2.8          Artificial Intelligence and IIoT Solutions

2.9          IIoT Cloud Computing Challenges

2.10        IIoT Cloud Computing Pricing Models

3              Industrial IoT Cloud Computing Market

3.1          Cloud Computing in IIoT Global Market Forecasts

3.1.1      Combined Cloud IIoT Market 2018 – 2023

3.1.2      Market by Service Segment 2018 – 2023

3.1.2.1   Infrastructure Market 2018 – 2023

3.1.2.2   Software Market 2018 – 2023

3.1.2.3   Platform Solution Market 2018 – 2023

3.1.3      Market by Cloud Type 2018 – 2023

3.1.3.1   Private Cloud Computing Market by Deployment 2018 – 2023

3.1.3.2   Public Cloud Computing Market by Deployment 2018 – 2023

3.1.3.3   Hybrid Cloud Computing Market by Deployment 2018 – 2023

3.1.4      Market by Industry Vertical 2018 – 2023

3.1.4.1   Manufacturing Market by Sub-sector 2018 – 2023

3.1.4.2   Utilities Market by Sub-sector 2018 – 2023

3.2          Cloud Computing in IIoT Regional Market Forecasts

3.2.1      Market by Region 2018 – 2023

3.2.1.1   North America Market Forecast by Service Segment, Cloud Type, Industry Vertical, and Country 2018 – 2023

3.2.1.2   Europe Market Forecast by Service Segment, Cloud Type, Industry Vertical, and Country 2018 – 2023

3.2.1.3   APAC Market Forecast by Service Segment, Cloud Type, Industry Vertical, and Country 2018 – 2023

3.2.1.4   RoW Market Forecast by Service Segment, Cloud Type, Industry Vertical, and Country 2018 – 2023

3.2.2      Top Ten Markets

4              IIoT Cloud Connected Devices/Things Forecasts

4.1          Connected Device Forecasts 2018 – 2023

4.1.1      Total Cloud Connected Devices 2018 – 2023

4.1.2      Cloud Connected Devices by Type 2018 – 2023

4.1.3      Cloud Connected Devices by Industry Vertical 2018 – 2023

4.1.4      Cloud Connected Devices by Region 2018 – 2023

4.1.4.1   North America Cloud Connected Devices by Country 2018 – 2023

4.1.4.2   Europe Cloud Connected Devices by Country 2018 – 2023

4.1.4.3   APAC Cloud Connected Devices by Country 2018 – 2023

4.1.4.4   RoW Cloud Connected Devices by Country 2018 – 2023

4.2          Connected Things/ Objects Forecasts

4.2.1      Total Cloud Connected Things/Objects 2018 – 2023

4.2.2      Cloud Connected Things/Objects by Industry Vertical 2018 – 2023

4.2.3      Cloud Connected Things/Objects by Region 2018 – 2023

4.2.3.1   North America Cloud Connected Things/Objects by Country 2018 – 2023

4.2.3.2   Europe Cloud Connected Things/Objects by Country 2018 – 2023

4.2.3.3   APAC Cloud Connected Things/Objects by Country 2018 – 2023

4.2.3.4   RoW Cloud Connected Things/Objects by Country 2018 – 2023

5              Company Analysis

5.1          Amazon Web Services

5.1.1      Company Overview

5.1.2      Product and Solutions

5.2          Cumulocity GmBH

5.2.1      Company Overview

5.2.2      Product and Solutions

5.3          CISCO Systems Inc.

5.3.1      Company Overview

5.3.2      Product and Solutions

5.4          SAP SE

5.4.1      Company Overview

5.4.2      Product and Solutions

5.5          Amplía Soluciones SL

5.5.1      Company Overview

5.5.2      Product and Solutions

5.6          General Electric

5.6.1      Company Overview

5.6.2      Product and Solutions

5.7          AT&T Inc.

5.7.1      Company Overview

5.7.2      Product and Solutions

5.8          Losant IoT Inc.

5.8.1      Company Overview

5.8.2      Product and Solutions

5.9          Thethings.io

5.9.1      Company Overview

5.9.2      Product and Solutions

5.10        XMPro

5.10.1    Company Overview

5.10.2    Product and Solutions

5.11        Siemens AG

5.11.1    Company Overview

5.11.2    Products and Services

5.12        Robert Bosch GmbH

5.12.1    Company Overview

5.12.2    Products and Solutions

5.13        IBM Corporation

5.13.1    Company Overview

5.13.2    Products and Solutions

5.14        Microsoft Corporation

5.14.1    Company Overview

5.14.2    Products and Solutions

5.15        C3IoT

5.15.1    Company Overview

5.15.2    Products and Solutions

5.16        Meshify

5.16.1    Company Overview

5.16.2    Products and Solutions

5.17        Sierra Wireless Inc.

5.17.1    Company Overview

5.17.2    Products and Solutions

5.18        Carriots

5.18.1    Company Overview

5.18.2    Products and Solutions

5.19        Intel Corporation

5.19.1    Company Overview

5.19.2    Products and Solutions

5.20        PTC

5.20.1    Company Overview

5.20.2    Products and Solutions

5.21        Uptake Technologies Inc.

5.21.1    Company Overview

5.21.2    Products and Solutions

5.22        TempolQ

5.22.1    Company Overview

5.22.2    Products and Solutions

5.23        Honeywell International

5.23.1    Company Overview

5.23.2    Products and Solutions

5.24        Enterox Systems

5.24.1    Company Overview

5.24.2    Products and Solutions

5.25        Aware360 Ltd.

5.25.1    Company Overview

5.25.2    Products and Solutions

5.26        XILINX Inc.

5.26.1    Company Overview

5.26.2    Products and Solutions

5.27        Echelon Corporation

5.27.1    Company Overview

5.27.2    Products and Solutions

5.28        Real Time Innovation

5.28.1    Company Overview

5.28.2    Products and Solutions

5.29        Fujitsu Ltd.

5.29.1    Company Overview

5.29.2    Products and Solutions

5.30        Reali Technologies Ltd

5.30.1    Company Overview

5.30.2    Products and Solutions

6              Conclusions and Recommendations

Figures

Figure 1: Cloud Computing Features

Figure 2: Cloud Computing Functions

Figure 3: Cloud Computing Infrastructure

Figure 4: IIoT Platform Components

Figure 5: IIoT Cloud Computing Architecture

Figure 6: Fog Computing Architecture

Figure 7: IIoT Cloud Computing Benefits

Figure 8: Global IIoT Cloud Computing Market 2018 – 2023

Figure 9 Global IIoT Cloud Connected Device 2018 – 2023

Figure 10: Global Cloud Connected IIoT Things/Objects 2018 – 2023

Figure 11: SAP HANA IoT Cloud Architecture

Figure 12: Bosch IoT Suite Framework

Figure 13: Intel IoT Platform Framework

Figure 14: Enterox IoT Cloud Framework

Figure 15: Fujitsu Connected Enterprise Solution

Figure 16: RealiteQ Technology Framework

Tables

Table 1: Global IIoT Cloud Computing Market by Service Segment 2018 – 2023

Table 2: Global IIoT Cloud Computing Infrastructure Market by Type 2018 – 2023

Table 3: Global IIoT Cloud Computing Software Market by Type 2018 – 2023

Table 4: Global IIoT Cloud Computing Market by Traffic Management Software Type 2018 – 2023

Table 5: Global IIoT Cloud Computing Platform Market by Solution Type 2018 – 2023

Table 6: Global IIoT Cloud Computing Platform Market by Cloud Type 2018 – 2023

Table 7: Global IIoT Private Cloud Computing Market by Deployment Type 2018 – 2023

Table 8: Global IIoT Public Cloud Computing Market by Deployment Type 2018 – 2023

Table 9: Global IIoT Hybrid Cloud Computing Market by Deployment Type 2018 – 2023

Table 10: Global IIoT Cloud Computing Market by Industry Vertical 2018 – 2023

Table 11: Global IIoT Cloud Computing Manufacturing Market by Vertical Sector 2018 – 2023

Table 12: Global IIoT Cloud Computing Utilities Market by Vertical Sector 2018 – 2023

Table 13: IIoT Cloud Computing Market by Region 2018 – 2023

Table 14: North America IIoT Cloud Computing Market by Service Segment 2018 – 2023

Table 15: North America IIoT Cloud Computing Infrastructure Market by Type 2018 – 2023

Table 16: North America IIoT Cloud Computing Software Market by Type 2018 – 2023

Table 17: North America IIoT Cloud Computing Market by Traffic Management Software Type 2018 – 2023

Table 18: North America IIoT Cloud Computing Platform Market by Solution Type 2018 – 2023

Table 19: North America IIoT Cloud Computing Platform Market by Cloud Type 2018 – 2023

Table 20: North America IIoT Private Cloud Computing Market by Deployment Type 2018 – 2023

Table 21: North America IIoT Public Cloud Computing Market by Deployment Type 2018 – 2023

Table 22: North America IIoT Hybrid Cloud Computing Market by Deployment Type 2018 – 2023

Table 23: North America IIoT Cloud Computing Market by Industry Vertical 2018 – 2023

Table 24: North America IIoT Cloud Computing Manufacturing Market by Vertical Sector 2018 – 2023

Table 25: North America IIoT Cloud Computing Utilities Market by Vertical Sector 2018 – 2023

Table 26: North America IIoT Cloud Computing Market by Country 2018 – 2023

Table 27: Europe IIoT Cloud Computing Market by Service Segment 2018 – 2023

Table 28: Europe IIoT Cloud Computing Infrastructure Market by Type 2018 – 2023

Table 29: Europe IIoT Cloud Computing Software Market by Type 2018 – 2023

Table 30: Europe IIoT Cloud Computing Market by Traffic Management Software Type 2018 – 2023

Table 31: Europe IIoT Cloud Computing Platform Market by Solution Type 2018 – 2023

Table 32: Europe IIoT Cloud Computing Platform Market by Cloud Type 2018 – 2023

Table 33: Europe IIoT Private Cloud Computing Market by Deployment Type 2018 – 2023

Table 34: Europe IIoT Public Cloud Computing Market by Deployment Type 2018 – 2023

Table 35: Europe IIoT Hybrid Cloud Computing Market by Deployment Type 2018 – 2023

Table 36: Europe IIoT Cloud Computing Market by Industry Vertical 2018 – 2023

Table 37: Europe IIoT Cloud Computing Manufacturing Market by Vertical Sector 2018 – 2023

Table 38: Europe IIoT Cloud Computing Utilities Market by Vertical Sector 2018 – 2023

Table 39: Europe IIoT Cloud Computing Market by Country 2018 – 2023

Table 40: APAC IIoT Cloud Computing Market by Service Segment 2018 – 2023

Table 41: APAC IIoT Cloud Computing Infrastructure Market by Type 2018 – 2023

Table 42: APAC IIoT Cloud Computing Software Market by Type 2018 – 2023

Table 43: APAC IIoT Cloud Computing Market by Traffic Management Software Type 2018 – 2023

Table 44: APAC IIoT Cloud Computing Platform Market by Solution Type 2018 – 2023

Table 45: APAC IIoT Cloud Computing Platform Market by Cloud Type 2018 – 2023

Table 46: APAC IIoT Private Cloud Computing Market by Deployment Type 2018 – 2023

Table 47: APAC IIoT Public Cloud Computing Market by Deployment Type 2018 – 2023

Table 48: APAC IIoT Hybrid Cloud Computing Market by Deployment Type 2018 – 2023

Table 49: APAC IIoT Cloud Computing Market by Industry Vertical 2018 – 2023

Table 50: APAC IIoT Cloud Computing Manufacturing Market by Vertical Sector 2018 – 2023

Table 51: APAC IIoT Cloud Computing Utilities Market by Vertical Sector 2018 – 2023

Table 52: APAC IIoT Cloud Computing Market by Country 2018 – 2023

Table 53: RoW IIoT Cloud Computing Market by Service Segment 2018 – 2023

Table 54: RoW IIoT Cloud Computing Infrastructure Market by Type 2018 – 2023

Table 55: RoW IIoT Cloud Computing Software Market by Type 2018 – 2023           53

Table 56: RoW IIoT Cloud Computing Market by Traffic Management Software Type 2018 – 2023

Table 57: RoW IIoT Cloud Computing Platform Market by Solution Type 2018 – 2023

Table 58: RoW IIoT Cloud Computing Platform Market by Cloud Type 2018 – 2023

Table 59: RoW IIoT Private Cloud Computing Market by Deployment Type 2018 – 2023

Table 60: RoW IIoT Public Cloud Computing Market by Deployment Type 2018 – 2023

Table 61: RoW IIoT Hybrid Cloud Computing Market by Deployment Type 2018 – 2023

Table 62: RoW IIoT Cloud Computing Market by Industry Vertical 2018 – 2023

Table 63: RoW IIoT Cloud Computing Manufacturing Market by Vertical Sector 2018 – 2023

Table 64: RoW IIoT Cloud Computing Utilities Market by Vertical Sector 2018 – 2023

Table 65: RoW IIoT Cloud Computing Market by Region 2018 – 2023

Table 66: RoW IIoT Cloud Computing Market by Country 2018 – 2023

Table 67: Top Ten IIoT Cloud Computing Market 2018 – 2023

Table 68: Global IIoT Cloud Connected Devices by Type 2018 – 2023

Table 69: Global IIoT Cloud Connected Device by Industry Vertical 2018 – 2023

Table 70: IIoT Cloud Connected Device by Region 2018 – 2023

Table 71: North America IIoT Cloud Connected Device by Country 2018 – 2023

Table 72: Europe IIoT Cloud Connected Device by Country 2018 – 2023

Table 73: APAC IIoT Cloud Connected Device by Country 2018 – 2023

Table 74: RoW IIoT Cloud Connected Device by Country 2018 – 2023

Table 75: Global IIoT Cloud Connected Things/Objects by Industry Vertical 2018 – 2023

Table 76: IIoT Cloud Connected Things/Objects by Region 2018 – 2023

Table 77: North America IIoT Cloud Connected Things/Objects by Country 2018 – 2023

Table 78: Europe IIoT Cloud Connected Things/Objects by Country 2018 – 2023

Table 79: APAC IIoT Cloud Connected Things/Objects by Country 2018 – 2023

Table 80: RoW IIoT Cloud Connected Things/Objects by Country 2018 – 2023

Table 81: Intel NAMD System

 

Cloud Computing Services, Platforms, Infrastructure and Everything as a Service 2018 – 2023

1 Executive Summary

2 Introduction

2.1 Overview

2.2 Study Scope

2.3 Target Audience

2.4 Key Companies Report

2.5 Global Cloud Computing Market Outlook

3 Cloud Computing Technology and Markets

3.1 Business Value Proposition

3.2 Cloud Computing Ecosystem

3.3 Telecom in Cloud Computing

3.4 Cloud Computing Market Segmentation

3.5 Cloud Computing Market Growth Drivers

4 Global Cloud Computing Market Outlook

4.1 Global Cloud Computing Revenue 2018 – 2023

4.2 Revenue by Cloud Computing Deployment Type

4.3 Global Cloud Revenue by Software, Platform, and Infrastructure

4.3.1 Global Cloud Computing IaaS Revenue by Sub-segment 2018 – 2023

4.3.2 Global Cloud Computing SaaS Revenue by Sub-segment 2018 – 2023

4.3.3 Global Cloud Computing PaaS Revenue by Sub-segment 2018 – 2023

4.4 Global Cloud Services Revenue 2018 – 2023

4.4.1 Cloud Based Business Process as a Service

4.4.2 Cloud Data Migration Services

4.4.3 Cloud Based Advertising

4.4.4 Cloud Based Payments

4.4.5 Cloud Based Data as a Service

4.4.6 Cloud Based Communication as a Service

4.5 Regional Cloud Computing Market Outlook

4.5.1 North American Cloud Computing Market

4.5.2 Western European Cloud Computing Market

4.5.3 China Cloud Computing Market

4.6 Global Cloud Computing Revenue by Industry Vertical 2018 – 2023

4.6.1 Global Cloud Computing Revenue in Government Sector 2018 – 2023

4.6.2 Global Cloud Computing Revenue in Financial Sector 2018 – 2023

4.6.3 Global Cloud Computing Revenue in Healthcare 2018 – 2023

4.6.4 Global Cloud Computing Revenue in Retail Sector 2018 – 2023

4.6.5 Global Cloud Computing Revenue in Manufacturing 2018 – 2023

4.6.6 Global Cloud Computing Revenue in Automobile Sector 2018 – 2023

4.6.7 Global Cloud Computing Revenue in Agriculture 2018 – 2023

5 Cloud Services in IoT

5.1 IoT Overview

5.1.1 IoT will Drive Massive Data Storage and Processing Needs

5.1.2 Processing Cloud IoT Data

5.1.3 Dealing with Centralized Storage and Decentralized Processing

5.1.4 Data Security and Personal Information Privacy are the Biggest Hurdles

5.1.5 Enhanced Tools needed for Machine Generated Data in IoT

5.1.6 Cloud Data Management for IoT Devices

5.2 Leading Vendors in IoT Cloud Computing

5.3 Cloud Computing in IoT Market Outlook

6 Carrier Cloud Services

6.1 Overview

6.2 Carrier Clouds

6.3 Mobile Edge Computing

6.3.1 MEC Benefits to Carriers

6.3.2 Commercialization of MEC

6.4 Carrier Cloud Market Outlook

6.4.1 Global Carrier Cloud Revenue 2018 – 2023

6.4.2 Carrier Cloud Revenue by Region 2018 – 2023

6.4.3 Global Carrier Cloud Revenue by Industry Vertical 2018 – 2023

6.4.4 Global Carrier Cloud Revenue by Services and Solutions 2018 – 2023

6.4.5 Carrier Distributed Computing Market

6.4.6 Global MEC Enabled Application Revenue 2018 – 2023

7 Important Cloud Computing Industry Developments

7.1 Recent Cloud Computing Mergers and Acquisitions

7.2 Recent Cloud Computing Investments

8 Appendix: Fundamentals of Cloud Computing

8.1 Cloud Computing Deployment Model Categories

8.2 Cloud Technologies and Architecture

8.3 Cloud Computing and Virtualization

8.4 Moving Beyond Cloud Computing

8.5 Rise of the Cloud-Based Networked Enterprise

8.6 General Cloud Service Enablers

8.6.1 Wireless Broadband Connectivity

8.6.2 Security Solutions

8.6.3 Presence and Location

8.7 Personal Cloud Service Enablers

8.7.1 Identity Management

8.7.2 Preference Management

8.8 Cloud Computing Services

8.8.1 Infrastructure as a Service (IaaS)

8.8.2 Platform as a Service (PaaS)

8.8.3 Software as a Service (SaaS)

8.8.3.1 Differences between IaaS, SaaS, and PaaS

8.9 Emerging Models: XaaS (Everything as a Service)

8.9.1 Business Process as a Service (BPaaS)

8.9.2 Communication as a Service (CaaS)

8.9.3 Monitoring as a Service (MaaS)

8.9.4 Network-as-a-service (NaaS)

8.9.5 Storage as a Service (SaaS)

8.10 APIs and Database

8.11 The Need for Federated Database Model

8.12 Enterprise Resource Planning (ERP) in the Cloud

8.13 Supply Chain Management in the Cloud

8.14 Emerging Cloud Based Applications

8.14.1 B2B Applications

8.14.2 B2C Applications

8.14.3 Entertainment in the Cloud: TV, Video, Gaming and More

8.15 Cloud Myths and Realities

9 Appendix: MEC Technology and Solutions

9.1 MEC Characteristics

9.1.1 Processing at the Edge

9.1.2 Low Latency Network

9.1.3 Context Based Service

9.1.4 Location Service and Analytics

9.2 Benefits of MEC

9.2.1 MEC Business Benefits

9.2.2 Technical Benefits

9.2.3 Communication Service Provider Specific Benefits

9.3 MEC Architecture and Platforms

9.3.1 MEC Platform Architecture and Building Blocks

9.3.1.1 MEC Infrastructure

9.3.1.2 MEC Application Platform

9.3.1.3 MEC Management Framework

9.3.2 MEC Value Chain for Edge Cloud

9.4 MEC Technology and Building Blocks

9.4.1 Radio Network Information Service

9.4.2 Traffic Offload Function

9.4.3 Interface

9.4.4 Configuration Management

9.4.5 Application Lifecycle Management

9.4.6 Hardware Virtualization and Infrastructure Management System

9.4.7 Core Network Elements

Figures

Figure 1: Cloud Computing Enterprise Applications

Figure 2: Cloud Computing Market Segmentation

Figure 3: Global Cloud Computing Revenue 2018 – 2023

Figure 4: Global Cloud Computing Revenue by SaaS, PaaS, and IaaS 2018 – 2023

Figure 5: Global Cloud Services Revenue 2018 – 2023

Figure 6: Cloud Computing Revenue by Region 2018 – 2023

Figure 7: Global Cloud Computing Revenue in Government Sector 2018 – 2023

Figure 8: Global Cloud Computing Revenue in Financial Sector 2018 – 2023

Figure 9: Global Cloud Computing Revenue in Healthcare 2018 – 2023

Figure 10: Global Cloud Computing Revenue in Retail Sector 2018 – 2023

Figure 11: Global Cloud Computing Revenue in Manufacturing 2018 – 2023

Figure 12: Global Cloud Computing Revenue in Automobile Sector 2018 – 2023

Figure 13: Global Cloud Computing Revenue in Agriculture 2018 – 2023

Figure 14: Cloud Based IoT Data Processing

Figure 15: Distributed Cloud IoT Data Architecture

Figure 16: IoT Data will NOT be Simply Stored in the Cloud

Figure 17: Real-time IoT Data Management and Analytics

Figure 18: Security in IoT Data Architecture

Figure 19: Cloud Computing Architecture

Figure 20: Server Virtualization Architecture

Figure 21: Deployment Ratio of by Categories of SaaS Application

Figure 22: Difference between IaaS, PaaS, and SaaS

Figure 23: Cloud Services and APIs

Figure 24: Cloud ERP vs. On-premise ERP

Figure 25: SCM Cloud Structure

Tables

Table 1: Global Cloud Computing Revenue 2018 – 2023

Table 2: Revenue by Cloud Computing Deployment Type

Table 3: Global Cloud Computing Revenue by SaaS, PaaS, and IaaS 2018 – 2023

Table 4: Global Cloud Computing IaaS by Sub-segment 2018 – 2023

Table 5: Global Cloud Computing SaaS Revenue by Sub-segment 2018 – 2023

Table 6: Global Cloud Computing PaaS Revenue by Sub-segment 2018 – 2023

Table 7: Global Cloud Services Revenue 2018 – 2023

Table 8: Global Revenues for Cloud Services by sub-segments 2022

Table 9: Cloud Computing Revenue by Region 2018 – 2023

Table 10: Global Cloud Computing Revenue by Industry Vertical 2018 – 2023

Table 11: Global Cloud Computing Revenue in Government Sector 2018 – 2023

Table 12: Global Cloud Computing Revenue in Financial Sector 2018 – 2023

Table 13: Global Cloud Computing Revenue in Healthcare 2018 – 2023

Table 14: Global Cloud Computing Revenue in Retail Sector 2018 – 2023

Table 15: Global Cloud Computing Revenue in Manufacturing 2018 – 2023

Table 16: Global Cloud Computing Revenue in Automobile Sector 2018 – 2023

Table 17: Global Cloud Computing Revenue in Agriculture 2018 – 2023

Table 18: Global Carrier Cloud Revenue 2018 – 2023

Table 19: Carrier Cloud Revenue by Region 2018 – 2023

Table 20: Global Carrier Cloud Revenue by Industry Vertical 2018 – 2023

Table 21: Global Carrier Cloud Revenue by Services and Solutions 2018 – 2023

Table 22: Global Revenues for Centralized Carrier Cloud Services 2018 – 2023

Table 23: Global MEC Revenue by Application 2018 – 2023

Multi-access Edge Computing (MEC): Market Outlook and Forecasts 2018 – 2023

1 Executive Summary

2 Introduction

2.1 Understanding Multi-access Edge Computing

2.1.1 Edge Computing in an ICT Context

2.1.2 Proximity Computing: The Edge in Physical and Logical Context

2.1.3 Edge Computing vs. Other Computational Approaches

2.1.4 Multi-access Edge Computing

2.2 Important Characteristics of MEC

2.2.1 Processing at the Edge

2.2.2 Low Latency

2.2.3 Context Based

2.2.4 Location and Analytics

2.3 MEC Benefits

2.3.1 Business Benefits

2.3.2 Technical Benefits

2.3.3 Mobile Network Operator Benefits

2.3.4 Key Element of Carrier Heterogeneous Network Strategy

3 MEC Technology, Platforms, and Architecture

3.1 MEC Platform Architecture Building Blocks

3.1.1 MEC Infrastructure

3.1.2 MEC Application Platforms

3.1.3 MEC Management Framework

3.2 The Edge Cloud Computing Value Chain

3.3 MEC Technology Building Blocks

3.3.1 Radio Network Information Service

3.3.2 Traffic Offload Function

3.3.3 MEC Interfaces

3.3.4 Configuration Management

3.3.5 Application Lifecycle Management

3.3.6 VM Operations and Management

3.3.7 Hardware Virtualization and Infrastructure Management

3.3.8 Core Network Elements

3.3.9 Open Standards

3.4 MEC Technology Enablers

3.4.1 Mobile Computing to Mobile Cloud Computing

3.4.2 Cloudlet based Mobile Cloud Computing

3.4.3 Cloudlet to Cloud

3.4.4 PacketCloud Open Platform for Cloudlets

3.4.5 Enterprise Cloud Architecture

3.4.6 Cloudlet Solutions

3.4.7 Cloudlet Storage Frameworks

3.5 MEC Deployment Considerations

3.5.1 MEC Implementation Challenges

3.5.2 MEC Operational Challenges

4 MEC Market Drivers and Opportunities

4.1 Limitations of Cloud Convergence

4.2 IT and Telecom Network Convergence

4.3 Base Station Evolution

4.4 Cell Aggregation

4.5 Virtualization in the Cloud

4.6 Continually Improving Server Capacity

4.7 Data Center to Network Interactions

4.8 Open and Flexible App and Service Ecosystem

4.9 Fifth Generation (5G) Wireless

4.10 Edge Cloud and Data Transferability

4.11 Proximate Cloud Computing

4.12 Increasingly Faster Content Delivery

4.13 Advantages of MEC Small Cell Deployment

4.14 Overall Mobile Data Demand

4.15 Low Latency Applications

4.16 Integration of MEC with Cloud RAN

4.17 MEC Enhances Real-time Data and Analytics

4.17.1 Why Data at the Edge?

4.17.2 Convergence of Distributed Cloud and Big Data

5 MEC Ecosystem

5.1 The Overall Edge Computing Ecosystem

5.2 MEC Ecosystem Players

5.2.1 ETSI MEC ISG

5.2.2 Software and ASPs

5.2.3 OTT Service and Content Providers

5.2.4 Network Infrastructure and Equipment Providers

5.2.5 Mobile Network Operators

5.3 Individual Company Analysis

5.3.1 ADLINK Technology Inc.

5.3.2 Advantech

5.3.3 Akamai Technologies

5.3.4 Allot Communications

5.3.5 Advanced Micro Devices

5.3.6 Brocade Communications Systems

5.3.7 Cavium Networks

5.3.8 Ceragon Networks

5.3.9 Cisco Systems

5.3.10 Fujitsu Technology Solutions

5.3.11 Hewlett Packard Enterprise

5.3.12 Huawei Technologies Co. Ltd

5.3.13 IBM Corporation

5.3.14 Integrated Device Technology

5.3.15 Intel Corporation

5.3.16 InterDigital Inc.

5.3.17 Juniper Networks

5.3.18 NEC Corporation

5.3.19 Nokia Corporation

5.3.20 PeerApp Ltd.

5.3.21 Quortus

5.3.22 Redhat, Inc.

5.3.23 Saguna Networks

5.3.24 Samsung Electronics Co., Ltd

5.3.25 Sony Corporation

5.3.26 SpiderCloud Wireless

5.3.27 Vasona Networks

5.3.28 Xilinx, Inc.

5.3.29 Yaana Ltd.

5.3.30 ZTE Corporation

6 MEC Application and Service Strategies

6.1 Optimizing the Mobile Cloud

6.1.1 Mobile Network Operator Strategies

6.1.2 Service Strategies and End-user Demand

6.2 Context Aware Services

6.2.1 Commerce

6.2.2 Education

6.2.3 Gaming

6.2.4 Healthcare

6.2.5 Location-based Services

6.2.6 Public Safety

6.2.7 Connected Vehicles

6.2.8 Wearables

6.1 Data Services and Analytics

6.1.1 Localized Real-time Data Becomes King

6.1.2 Anonymizing Local and Real-time Data for Third-party Usage

6.1.3 Increasing Demand for Data as a Service (DaaS) in MEC Environment

7 MEC Market Forecasts 2018 – 2023

7.1 Global Market 2018 – 2023

7.1.1 Combined MEC Market

7.1.2 MEC Market by Segment

7.1.2.1 MEC Cloud Server Market

7.1.2.2 MEC Equipment Market

7.1.2.3 MEC Platform Market

7.1.2.4 MEC Software and API Market

7.1.2.5 MEC Service Market

7.1.3 MEC Enterprise CAPEX and OPEX Spend

7.1.4 MEC Network Migration

7.1.5 MEC Enterprise Adoption

7.2 MEC Regional Market 2018 – 2023

7.2.1 North America Market Forecast

7.2.2 APAC Market Forecasts

7.2.3 Europe Market Forecast

7.3 MEC Network Users/Devices 2018 – 2023

7.3.1 Global MEC Network Users/Devices

7.3.2 MEC Network User by Supporting Network

7.3.3 Regional MEC Network User

7.3.3.1 North America User

7.3.3.2 APAC User

7.3.3.3 Europe User

8 Conclusions and Recommendations

8.1 Anticipated Market Needs and Opportunities

8.1.1 The need for MEC Integration with Public Cloud Platforms

8.1.2 Enterprise (Dedicated and Shared Resources) MEC Integration

8.1.3 Dedicated MEC Public Safety and Homeland Security Infrastructure

8.2 Insights into Future Market Dynamics

8.2.1 MEC will Facilitate Downward Price Pressure on Non-real-time Data

8.2.2 MEC will Drive Demand for Virtual Network Operators

8.2.3 MEC will Drive the Need for New Players as well as M&A

9 Appendix: Real-time Data Analytics Revenue 2018 – 2023

9.1 Global Streaming Data Analytics Revenue

9.2 Global Real-time Data Analytics Revenue by App, Software, and Services

9.3 Global Real-time Data Analytics Revenue in Industry Verticals

9.3.1 Real-time Data Analytics Revenue in Retail

9.3.1.1 Real-time Data Analytics Revenue by Retail Segment

9.3.1.2 Real-time Data Analytics Retail Revenue by App, Software, and Service

9.3.2 Real-time Data Analytics Revenue in Telecom and IT

9.3.2.1 Real-time Data Analytics Revenue by Telecom and IT Segment

9.3.2.2 Real-time Data Analytics Revenue by Telecom and IT App, Software, and Service

9.3.3 Real-time Data Analytics Revenue in Energy and Utility

9.3.3.1 Real-time Data Analytics Revenue by Energy and Utility Segment

9.3.3.2 Real-time Data Analytics Energy and Utilities Revenue by App, Software, and Service

9.3.4 Real-time Data Analytics Revenue in Government

9.3.4.1 Real-time Data Analytics Revenue by Government Segment

9.3.4.2 Real-time Data Analytics Government Revenue by App, Software, and Service

9.3.5 Real-time Data Analytics Revenue in Healthcare and Life Science

9.3.5.1 Real-time Data Analytics Revenue by Healthcare Segment

9.3.6 Real-time Data Analytics Revenue in Manufacturing

9.3.6.1 Real-time Data Analytics Revenue by Manufacturing Segment

9.3.6.2 Real-time Data Analytics Manufacturing Revenue by App, Software, and Service

9.3.7 Real-time Data Analytics Revenue in Transportation and Logistics

9.3.7.1 Real-time Data Analytics Revenue by Transportation and Logistics Segment

9.3.7.2 Real-time Data Analytics Transportation and Logistics Revenue by App, Software, and Service

9.3.8 Real-time Data Analytics Revenue in Banking and Finance

9.3.8.1 Real-time Data Analytics Revenue by Banking and Finance Segment

9.3.8.2 Real-time Data Analytics Revenue by Banking and Finance App, Software, and Service

9.3.9 Real-time Data Analytics Revenue in Smart Cities

9.3.9.1 Real-time Data Analytics Revenue by Smart City Segment

9.3.9.2 Real-time Data Analytics Revenue by Smart City App, Software, and Service

9.3.10 Real-time Data Analytics Revenue in Automotive

9.3.10.1 Real-time Data Analytics Revenue by Automobile Industry Segment

9.3.10.2 Real-time Data Analytics Revenue by Automotive Industry App, Software, and Service

9.3.11 Real-time Data Analytics Revenue in Education

9.3.11.1 Real-time Data Analytics Revenue by Education Industry Segment

9.3.11.2 Real-time Data Analytics Revenue by Education Industry App, Software, and Service

9.3.12 Real-time Data Analytics Revenue in Outsourcing Services

9.3.12.1 Real-time Data Analytics Revenue by Outsourcing Segment

9.3.12.2 Real-time Data Analytics Revenue by Outsourcing Industry App, Software, and Service

9.4 Real-time Data Analytics Revenue by Leading Vendor Platform

9.4.1 Global Investment in Data by Industry Sector 2018 – 2023

Figures

Figure 1: MEC Value Chain for Edge Cloud Computing

Figure 2: Extreme Outdoor Server

Figure 3: Cloudlet based PacketCloud Framework

Figure 4: MEC and C-RAN Architecture

Figure 5: Mobile Edge Computing Network

Figure 6: MEC Network and Application Clients

Figure 6: ETSI MEC ISG Members

Figure 7: MEC enables Many Cloud-based Apps

Figure 8: Combined MEC Market Size 2018 – 2023

Figure 9: MEC Network Migration Ratio

Figure 10: MEC Enterprise Adoption Ratio

Figure 12: Global MEC Network Users 2018 – 2023

Figure 13: Global Real-time Data Analytics 2018 – 2023

Figure 14: Investment in Data by Industry Vertical 2018 – 2023

Tables

Table 1: MEC Market Size by Market Segment 2018 – 2023

Table 2: MEC Cloud Server Market by Category 2018 – 2023

Table 3: MEC Equipment Market by Category 2018 – 2023

Table 4: MEC Platform Market by Category 2018 – 2023

Table 5: MEC Software and API Market in Vertical Segment 2018 – 2023

Table 6: MEC Service Market by Type 2018 – 2023

Table 7: MEC Optimization CAPEX and OPEX Spend by Enterprise

Table 8: MEC Market by Region 2018 – 2023

Table 9: North America MEC Market by Segment 2018 – 2023

Table 10: North America MEC Cloud Server Market by Category 2018 – 2023

Table 11: North America MEC Equipment Market by Category 2018 – 2023

Table 12: North America MEC Platform Market by Category 2018 – 2023

Table 13: North America MEC Software and API Market in Vertical Segment 2018 – 2023

Table 14: North America MEC Service Market by Type 2018 – 2023

Table 15: North America MEC Market by Country 2018 – 2023

Table 16: APAC MEC Market by Market Segment 2018 – 2023

Table 17: APAC MEC Cloud Server Market by Category 2018 – 2023

Table 18: APAC MEC Equipment Market by Category 2018 – 2023

Table 19: APAC MEC Platform Market by Category 2018 – 2023

Table 20: APAC MEC Software and API Market in Vertical Segment 2018 – 2023

Table 21: APAC MEC Service Market by Type 2018 – 2023

Table 22: APAC MEC Market by Country 2018 – 2023

Table 23: Europe MEC Market by Market Segment 2018 – 2023

Table 24: Europe MEC Cloud Server Market by Category 2018 – 2023

Table 25: Europe MEC Equipment Market by Category 2018 – 2023

Table 26: Europe MEC Platform Market by Category 2018 – 2023

Table 27: Europe MEC Software and API Market in Vertical Segment 2018 – 2023

Table 28: Europe MEC Service Market by Type 2018 – 2023

Table 29: Europe MEC Market by Country 2018 – 2023

Table 30: MEC User by Supporting Network 2018 – 2023

Table 31: MEC Network User by Region 2018 – 2023

Table 32: North America MEC User by Supporting Network 2018 – 2023

Table 33: APAC MEC User by Supporting Network 2018 – 2023

Table 34: Europe MEC User by Supporting Network 2018 – 2023

Table 35: Global Real-time Data Analytics Revenue by App, Software, and Service 2018 – 2023

Table 36: Global Real-time Data Analytics Revenue in Industry Vertical 2018 – 2023

Table 37: Retail Real-time Data Analytics Revenue by Retail Segment 2018 – 2023

Table 38: Retail Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023

Table 39: Telecom and IT Real-time Data Analytics Rev by Segment 2018 – 2023

Table 40: Telecom and IT Real-time Data Analytics Rev by App, Software, and Services 2018 – 2023

Table 41: Energy and Utilities Real-time Data Analytics Rev by Segment 2018 – 2023

Table 42: Energy and Utilities Real-time Data Analytics Rev by App, Software, and Services 2018 – 2023

Table 43: Government Real-time Data Analytics Revenue by Segment 2018 – 2023

Table 44: Government Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023

Table 45: Healthcare and Life Science Real-time Data Analytics Revenue by Segment 2018 – 2023

Table 46: Healthcare and Life Science Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023

Table 47: Manufacturing Real-time Data Analytics Revenue by Segment 2018 – 2023

Table 48: Manufacturing Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023

Table 49: Transportation and Logistics Real-time Data Analytics Revenue by Segment 2018 – 2023

Table 50: Transportation and Logistics Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023

Table 51: Banking and Finance Real-time Data Analytics Revenue by Segment 2018 – 2023

Table 52: Banking and Finance Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023

Table 53: Smart Cities Real-time Data Analytics Revenue by Segment 2018 – 2023

Table 54: Smart Cities Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023

Table 55: Automotive Real-time Data Analytics Revenue by Segment 2018 – 2023

Table 56: Automotive Real-time Data Analytics Revenue by Apps, Software, and Services 2018 – 2023

Table 57: Education Real-time Data Analytics Revenue by Segment 2018 – 2023

Table 58: Education Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023

Table 59: Outsourcing Service Real-time Data Analytics Revenue by Segment 2018 – 2023

Table 60: Outsourcing Service Real-time Data Analytics Revenue by App, Software, and Services 2018 – 2023

Table 61: Real-time Data Analytics Revenue by Leading Vendor Platforms 2018 – 2023

Table 62: Investment in Data by Industry Vertical 2018 – 2023

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Interview with Programmable Telecoms Expert and Industry Leader, Alan Quayle

Learn about Programmable Telecom

We are pleased to provide a transcript of interview with leading industry expert, Alan Quayle about Programmable Telecom.

shutterstock_114893179 (1)

Programmable Telecom: It’s all about the Services !

What follows are Questions and Answers between Mind Commerce (MC) and Alan Quayle (AQ):

MC: How long have you been working in Telecom APIs / Programmable Telecoms

AQ: In 1998 (20 years ago) a consortium was founded called Parlay, comprising BT and a dozens other vendors and telcos. I was involved in some of BT’s (British Telecom) standardization work at the time. Parlay’s objective was to create standard APIs for accessing the PSTN (telephone network).

In 1998 I moved to Lucent to help them with their 3G solution development and was explaining the role APIs would play in the future of telecoms. APIs were part of the 3G solutions we were creating. Softswitch as all the rage back then, and we were integrating application servers and media functions to deliver not only 3G radio access but a complete solution including new services using APIs.

Unfortunately the work of Parlay was 10 years too early. Its a theme of my career. I was working on broadband passive optical network specifications over 10 years ahead of deployment 🙂 My start up Teltier, focused on mobile network presence APIs founded in 2001 was 10 years too early as well.

MC: Why do you use the term Programmable Telecoms?

AQ: Programmable Telecoms is simply all the telecom services that are now programmable, accessible through APIs (Application Programming Interface). The fancy acronym used for the providers of telecom APIs is CPaaS (Communications Platform as a Service).

Programmable Telecoms also includes acronyms such UCaaS (Unified Communications as a Service), CCaaS (Call Center as a Service), UC&CaaS (Unified Communications and Collaboration aaS), CPaaS-enabled services, instant authentication, bots, 2FA (Two Factor Authentication), MobileID (info associated with a phone number), open source TAS (Telecom App Server), WebRTC (Web Real Time Communications), etc. It can cover on-premise, hosted, or in the cloud. And creates lots of new value when mashed up with IoT (Internet of Things), Ethereum, IT platforms, and the Web.  Just look at the hundreds of hacks created at TADHack over the years, your imagination is the limit.

I also use Programmable Telecoms as it avoids yet another acronym. It does cover loads of acronyms, but my aim is to have a label that is broad and inclusive. I also purposefully use the T-word: Telecoms. It existed long before the Telcos / Carriers came into existence. But because people do not even want to even sound like a telco, they use the word communications. I proudly use the T-word and reclaim it for all the people taking advantage of the democratization of telecoms thanks to Programmable Telecoms to solve problems that matter to them.

MC: Why aren’t the carriers assuming a bigger role?

AQ: Digging into history, shows the closure of telco CPaaS initiatives such as Verizon Developer Community (VDC), Telefonica’s BlueVia, Deutsche Telekom’s Developer Garden. Are these proof-points telcos can not be successful in Telecom APIs? No, as it ignores successful telco CPaaS programs like IdeaMart, and the many public and private APIs telcos offer today. A little bit of CPaaS history will help us understand the current situation better.

During the ‘00s, BT/O2 were active over that decade launching then closing developer API programs. The problem was ‘it takes time’ to build the CPaaS business. Telco budget approval processes generally require impossible promises to be made to afford the expensive telco-buyer approved vendor solutions.

The CPaaS business would fail to meet year 1 targets, have an even greater miss in year 2, and be closed sometime in year 3 with the CPaaS leader relegated to the equivalent of Telco-Siberia. When Twilio was raising cash in 2007/2008, many investors were incredulous given previous attempts at telecom APIs.

In 2010 a group of telcos founded WAC (Wholesale Application Community) which ended up trying to implement a world-wide OneAPI platform for telcos. OneAPI is an updated version of the Parlay API that was no longer needed. Needless to say ‘designed by committee’ did not work. By 2012 WAC and the GSMA ‘joined forces’ and Apigee took over the ‘business’. And proceeded to sell to telcos around the world API management not a CPaaS Enabler. Which telcos used for internal integration projects.

In 2014 TEF Digital closed down and with it BlueVia, DT Developer Garden scaled back its plans, the same happened with VDC. CPaaS was perceived as too small and specialized an opportunity for telcos to chase. Even though at this point Twilio was getting into its stride, and Nexmo was now considered the #2 CPaaS.

Telcos’ missteps were to believe in their self-focused standards rather than market needs, and not to look under the hood of what API Management really meant with respect to CPaaS. I wrote a weblog about this issue in 2012.

However, some telcos did not throw in the towel, IdeaMart continued on and has achieved significant CPaaS success. They do many things right, one in particular are templates: simple web forms you or I can use to create services rather just offering APIs to developers. I remain shocked and saddened that the IdeaMart model has not been more widely adopted. But this seems to be a common theme in history, missed opportunities.

All telcos are involved in the wholesale side of the CPaaS business, origination and termination of voice calls and SMS. Many do offer APIs to partners and large customers, large enterprises these days are asking telcos to provide their services through APIs. And a few telcos have achieved success in CPaaS. The CPaaS business is now undergoing rapid evolution and growth that will present a significant threat to the telcos’ legacy enterprise telecoms business.

MC: What’s happening in CPaaS Today?

AQ: The CPaaS business is today much more than voice, messaging, and phone number APIs. Only reselling telephony APIs is a precarious proposition, it’s a business surviving between two price points over which they have little control. It’s certainly not a viable business to bring to IPO and justify the current valuations.

CPaaS has evolved rapidly and in a number of directions over the past 10 years. Across SIP trunking, IP communications including WebRTC and IP Communications platforms like Viber, Facebook Messenger, WeChat, LINE. But its the focus on enterprise telecom services and enablers has been the most dramatic.

Two layers have emerged in the CPaaS stack:

  • Value Added Services: examples include IVR (press 1 for service) or call redirection (after pressing one the call is redirected to an agent) or anonymous calling (like with Uber when the driver is trying to find you after they arrive at the destination and an anonymous call is set up between you and the driver). Generally these building blocks are available from the FreeSWITCH community or are relatively easy to build. This is table stakes for any CPaaS provider today.
  • Enterprise Enablers and Services: the difference between these two is more a business decision than technology. It can range from pre-packaged services delivered directly to enterprises or through channels (e.g. the services in VoIP Innovations Showroom, or Kazoo by 2600Hz), or enabling partners to build their own version of an enterprise service (e.g. Twilio Flex for Call Centers)

What initially appeared to be a simple business of 3 APIs for voice, messaging and phone numbers is now, much more complex. Why the focus on all this other stuff? Simply, it vastly increases the addressable market.

If we look at the basic messaging, voice and phone number CPaaS market its about $8B in 2021 (according to IDC). However, add-in UCaaS, CCaaS, MFA, video, SIP trunking and IoT and the number jumps to about $100B. It’s this big number that justifies Twilio’s valuation.

MC: Where are the opportunities for CPaaS?

AQ: The underlying programmable telecoms technologies continue to rapidly evolve, the solutions and global networks being created by CPaaS providers are amazing. But this is ‘just’ technology, its the services being enabled, the price points at which those services can be provided, and the flexibility with which those services can be delivered is what matters.

Businesses want solutions to business problems, or to spend less doing that they do today

CPaaS is the enabler of an enterprise telecoms revolution. Businesses are no longer tied to traditional vendors / providers; a new cadre of providers with lower price points, bundling enterprise IT and telecoms, and local support from someone they know in their city. SMB can now afford a ‘call center’, with the flexibility to meet their specific needs, all bundled up through their preferred, trusted channel.

We’re already starting to see this shift today. In France OVH (which began as a website hoster) have moved into the UC market quite successfully, with a broad ICT bundle, all managed through the same console. Enterprise telecoms is becoming just like IT, thanks to CPaaS providers removing the complexity and supporting a range of delivery models. Telecoms is no longer scary-complex.

As history shows, well-entrenched legacy businesses struggle to adapt to new market realities, they often get disrupted. But given enterprises do not move quickly, unlike consumers, this enterprise telecoms revolution is unlikely to be a rapid change, some legacy businesses will adapt.

You’ll notice I’ve not brought up AI (Artificial Intelligence), bots, sentiment analysis, blockchain, etc. They are part of some of the solutions discussed above. It’s just there’s a much bigger picture enabled by CPaaS, the revolution in enterprise telecoms.

At TADHack Global on the 13-14 Oct people around the world can experience CPaaS, CPaaS enablers, chat bots, Ethereum, and much more. TADHack is for Everyone, whether you’re a coded or non-coder, it doesn’t matter. We want you to learn about some great technologies, share your experiences with others, and create something over a weekend that could change the world. Seriously, companies have been founded from TADHack, new services created and later launched, people have found amazing jobs working with world-leading teams.

At TADSummit 13-14 November you’ll meet the people leading the Programmable Telecom revolution as well as the channels delivering the revolution to enterprises large and small around the world. You’ll see what’s possible before the rest of the market because TADSummit is the thought-leadership event in programmable telecoms, now entering its 6th year.

It’s all about the enterprise services!

You can read more from Alan in the “The Enterprise Telecoms Revolution” eBook from VoIP Innovations.

Programmable Telecom Research

Mind Commerce is in its sixth year of covering Programmable Telecom with an emphasis on Telecom APIs and those services enabled from their use.

For many larger Telecom API vendors, a substantial proportion of revenue continues to be generated from SIP Trunking in support of their client’s VoIP, UC, and other IP-based communications apps and services. However, many smaller players are innovating in areas that have high growth potential such as analytics data, device information, edge computing, and number management for calls, data, and subscribers.

TelecomAPI_2018-2023

Telecom API Market Outlook and Forecasts 2018 – 2023 provides an in-depth assessment of the global Telecom API market, including business models, value chain analysis, operator strategies and a quantitative assessment of the industry from 2018 to 2023.

This report evaluates the current state of the market and outlook for the future including analysis and forecasts for the Telecom API market.

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How Important will Asset Tracking be to Enterprise in the Future?

Asset tracking refers to monitoring and managing fixed, portable, and mobile assets by leveraging various technologies such as GPS, BLE, and RFID.

Asset Tracking in Industry Verticals

While nearly every industry vertical can and will leverage asset tracking to some degree, some enterprise organizations are more aligned with certain types of assets.

HighMedLow_AssetTracking

For example, telecom companies have many low-cost assets, such as the many IoT devices that are deployed as part of M2M networks.  In contrast, governmental organizations have quite a few high-cost assets to track.  Other higher cost asset verticals include aerospace, automotive, and many industrial oriented enterprises.

Our research indicates the following:

  • More than 50% of the asset tracking market will be driven by AI solutions by 2023
  • Industrial automation and warehousing, logistics, and shipping will be the leading industry verticals
  • Location determination technology will lead the asset tracking hardware market during 2018 – 2023

Asset Tracking Software

Asset tracking software integrates all the generated data and information to facilitate a comprehensive view of enterprise assets, providing multiple benefits for the organization such as tracking real-time location, status of the assets, tracking movement, alerting overdue or warranty expiration, developing capital expenditure plan, saving operational costs, and many more areas.

Asset tracking technology aids the adoption of M2M/IoT technology and contributes to the growth of Industry 4.0

Asset Tracking to Become Indispensable to Enterprise

It is anticipated that asset tracking systems will become an indispensable part of modern organizations, allowing a competitive advantage for early adopters and a matter of survival as enterprise integrates next generation technologies such as AI and Blockchain.

AssetTracking_2018-2023

Asset Tracking Market by Technology (M2M/IoT, Edge Computing, Smart Devices), Connection Type (3G, 4G, 5G, WiFi, and WiMAX), Mobility (Fixed, Portable, and Mobile), Location Determination (GPS, RFID, Others), and Industry Verticals 2018 – 2023 evaluates asset tracking technologies, solutions, and the evolving ecosystem including leading market players. The report assesses the impacts of various use case specific considerations in terms of asset technology and solution selection.

The report also analyses the market outlook for asset tracking globally, regionally, and by major country in each region.  Quantitative data and forecasts include market segmentation by hardware technology, software and service, connection type, range of mobility, location requirements, and by industry vertical.

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Who are the Leading Companies in Enterprise Blockchain ?

As many know by now, there is much more to the technology supporting cryptocurrencies (such as Bitcoin) than merely enabling financial transactions.

The technology known as Blockchain will have far reaching impacts across virtually all industry verticals.  In fact, certain leading companies are already making great strides towards leveraging Blockchain to optimize various enterprise solutions.

Enterprise Blockchain Company Analysis

Mind Commerce is pleased to have supported Compass Intelligence (CI) in its endeavors to identify the leading companies in Enterprise Blockchain.  First, we identified a short-list of companies, which in itself was very difficult, as there are many companies focusing on how to best integrate Blockchain technology into enterprise operations.

Enterprise Blockchain Company Shortlist

The short-list for this most recent study is as follows:

  • Accenture
  • Amazon
  • Baidu
  • Dell EMC
  • DMG BlockChain Solutions
  • FedEx
  • Fidelity Investments
  • Hewlett Packard
  • Hyundai
  • IBM
  • Kodak
  • Microsoft
  • Oracle
  • Overstock
  • Tencent

Again, we emphasize that it was difficult getting to a short list of potential leading companies as Blockchain innovation is rapidly evolving.  For example, there are certain companies that did not make the list (for various reasons) that are certainly on the watch list such as Bank of America, which has many Blockchain patents.

Leading Companies in Enterprise Blockchain

After careful consideration, and application of CI’s proprietary analysis and grading methodology, we have determined leading companies in Enterprise Blockchain to be the top five of the study:

  1. Microsoft
  2. IBM
  3. Accenture
  4. Amazon
  5. Oracle

Many factors were considered to make the above determination including company parameters as well as the judgement of analyst based on many factors including Enterprise Blockchain solution development, market positioning and differentiation, current market traction and prospects, and overall outlook for each company.

EnterpriseBlockchainA-ListResults

If your company made the top five, or even the short-list of companies, we congratulate you !!  If your company did not make it, do not despair as it is tough to make the list.  Also, we want to hear from you as recognition on the CI A-List is part of an annual program to recognize leading companies across many different Categories and Topics.

Didn’t make the A-List this time? We start at Zero in 2019, so your company has a shot at being recognized next year.

To learn more about the study, including methodology, how, and why these companies were identified as the top five, we encourage you to visit the CI A-List in Enterprise Blockchain for more information.

More about the A-List Program

Companies recognized as part of this program that purchase a package from CI are entitled to display the following badge as well as receive other valuable benefits including the results of the study.

aList_EntBlockchain_badge

Enterprise Blockchain Reports

Some packages also include supplemental research such as the Mind Commerce report Blockchain Technology and Solutions: Market Outlook and Forecasts 2018 – 2023, which examines the technology, leading companies, and solutions in the evolving Blockchain ecosystem.

Blockchain_2018-2023

Blockchain Technology and Solutions Market

The report evaluates current and anticipated use cases for Blockchain and assesses the market potential globally, regionally, and segmented by deployment type and industry vertical for the period 2018 to 2023.  The report evaluates key players, solutions, and use cases.  The report also assesses the prospect of integrating Blockchain with other technologies including IoT and artificial intelligence.  The report includes detailed forecasts by use case, application, and industry verticals from 2018 to 2023.

Additional A-List Topic Areas

There are many more A-List categories as part of the CI program to determine leading companies offering solutions to solve specific industry problems based on emerging and disintermediating technologies.  Additional A-List topics by category include the following:

Internet of Things

  • AI Chipsets
  • Asset Tracking
  • Data Analytics
  • Edge IoT
  • Fleet Management
  • IoT Security
  • Smart Cities
  • Transportation Logistics
  • V2X Communications

Mobile

  • 5G Core
  • 5G OSS/BSS
  • 5G RAN
  • Application Development
  • Device Recycling
  • MDM/EMM
  • Messaging and Collaboration
  • Mobile Apps
  • Mobile Cloud
  • Mobile Security
  • VR/AR

Emerging Tech

  • Additive Manufacturing
  • Artificial Intelligence
  • Disruptive Technnologies
  • Enterprise Blockchain
  • Industrial Robotics

New topics are being added all of the time.  Let us know if there is a topic area of interest that you do not see listed.  To learn more, and/or to inquire about obtaining access to the results of these studies, visit the A-List program at the CI website.

 

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