2018 Study on Carrier B2B Data Revenue: Big Data, Analytics, Telecom APIs, and Data as a Service (DaaS) to 2023 - ResearchAndMarkets.com

4 Mar 2019

DUBLIN--(BUSINESS WIRE)--The "Carrier B2B Data Revenue: Big Data, Analytics, Telecom APIs, and Data as a Service (DaaS) 2018-2023" report has been added to ResearchAndMarkets.com's offering.

This research evaluates telecom data, analytics, APIs, and provides a quantitative and qualitative and assessment of carrier prospects for B2B revenue as a DaaS provider including forecast data and key insights respectively. It provides an in-depth assessment of the global Big Data market, including business case issues/analysis, application use cases, vendor landscape, value chain analysis, and a quantitative assessment of the industry with forecasting from 2018 to 2023. This research also evaluates the technologies, companies, strategies, and solutions for DaaS.

It assesses business opportunities for enterprise use of own data, others data, and a combination of both. It also analyzes opportunities for enterprise to monetize their own data through various third-party DaaS offerings. Additionally, it 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 2018 to 2023. This research is also the most comprehensive research covering the telecom API and programmable telecoms ecosystem including players, platforms, tools, solutions, and service offerings.

Select Findings

Total global Telecom API related revenue will reach $319.6B by 2023
Telecom API support of IoT remains a high priority cellular operator-only opportunity
North America and Western Europe represent the two largest regional markets for DaaS
Edge Computing related Telecom API revenue will reach $395M in North America by 2023
IoT DaaS is growing nearly three times as fast as non-IoT DaaS, with much of it streaming data
Global IoT platform and authentication API revenue reaches $5.3B and $9.2B respectively by 2019
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

Market Summary

Telecommunications service providers acquire and maintain substantial structured and unstructured (Big) data. Leading carriers have centralized Subscriber Data Management (SDM) systems, which consolidate and organize data from various sources such as HLR, HSS, and other data repositories. In addition, carriers have access to a plethora of data from various "Big Data" sources such as OSS/BSS, system monitoring and performance management systems including Self Organizing Networks (SON).

Big Data and related Analytics solutions open a vast array of applications and opportunities for telecom carriers to offer services in multiple industry verticals. Solutions for managing unstructured data are evolving beyond systems aligned towards primarily human-generated data (such as social networking, messaging, and browsing habits) towards increasingly greater emphasis upon machine-generated data found across many industry verticals.

For example, manufacturing and healthcare are anticipated to create massive amounts of data that may be rendered useful only through advanced analytics and various Artificial Intelligence (AI) technologies. Emerging networks and systems such as IoT and edge computing will generate substantial amounts of unstructured data, which will present both technical challenges and market opportunities for operating companies and their vendors.

Network operators may sell data in a "Data as a Service" (DaaS) model to various market sectors including retail and hospitality, media, utilities, financial services, healthcare and pharmaceutical, telecommunications, government, homeland security, and the emerging industrial Internet vertical. DaaS is defined as any service offered wherein users can access vendor provided databases or host their own databases on vendor managed systems.

Report Benefits

Identify key Big Data players and strategies
Understand business case for enterprise Big Data
DaaS segmentation by Structure, Source, Sector, and Collection
Identify leading companies and solutions for Telecom API enabled apps and services
Identify leading DaaS companies, strategies, and solutions offering enterprise solutions
Understand the market dynamics, players, and outlook for communication enabled apps
Understand the market dynamics for the Data as a Service market including leading services

Topics Covered

Data as a Service (DaaS) Market: Enterprise, Industrial, Public and Government DaaS 2018-2023

1 Executive Summary

2 Data as a Service Technologies

3 Data as a Service Market

4 Data as a Service Strategies

5 Data as a Service Applications

6 Market Outlook and Future of Data as a Service

7 Data as a Service Market Analysis and Forecasts 2018-2023

8 Regional DaaS Market Analysis and Forecasts 2018-2023

9 Conclusions and Recommendations

10 Appendix