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Global 5G, AI, Data Analytics, and IoT Convergence Industry Report 2020-2025 - Some of the Largest Market Opportunities Will Be AIoT Market Data as a Service
[February 04, 2020]

Global 5G, AI, Data Analytics, and IoT Convergence Industry Report 2020-2025 - Some of the Largest Market Opportunities Will Be AIoT Market Data as a Service

DUBLIN, Feb. 4, 2020 /PRNewswire/ -- The "5G, Artificial Intelligence, Data Analytics, and IoT Convergence: The 5G and AIoT Market for Solutions, Applications and Services 2020-2025" report has been added to's offering.

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This research evaluates applications and services associated with the convergence of AI and IoT (AIoT) with data analytics and emerging 5G networks. The AIoT market constitutes solutions, applications, and services involving AI in IoT systems and IoT support of various AI facilitated use cases. This research assesses the major players, strategies, solutions, and services. It also provides forecasts for 5G and AIoT solutions, applications and services from 2020 through 2025.

Select Findings

  • The fastest-growing 5G AIoT market applications involve private networks
  • Some of the largest market opportunities will be AIoT market data as a service
  • 5GNR market for private wireless in industrial automation will reach $4B by 2025
  • Embedded AI software and systems in support of IoT will surpass $7B globally by 2025
  • Machine learning in edge computing will be key to realize the full potential of IoT analytics

The combination of Artificial Intelligence (AI) and the Internet of Things (IoT) has the potential to dramatically accelerate the benefits of digital transformation for consumer, enterprise, industrial, and government market segments. The author sees the Artificial Intelligence of Things (AIoT) as transformational for both technologies as AI adds value to IoT through machine learning and decision making and IoT adds value to AI through connectivity and data exchange.

Not to confuse AIoT with a related term, the Analytics of Things (AoT) has been coined to refer to the analysis of the data from IoT networks, systems, devices, and software for purposes of decision making. One of the key tenants of AoT is the combination of operative information with data from IT systems to deliver intelligent analytics to stakeholders.

With AIoT, AI is embedded into infrastructure components, such as programs, chipsets, and edge computing, all interconnected with IoT networks. APIs are then used to extend interoperability between components at the device level, software level, and platform level. These units will focus primarily on optimizing system and network operations as well as extracting value from data.

It is important to recognize that intelligence within IoT technology market is not inherent but rather must be carefully planned. AIoT market elements will be found embedded within software programs, chipsets, and platforms as well as human-facing devices such as appliances, which may rely upon a combination of local and cloud-based intelligence.

Just like the human nervous system, IoT networks will have both autonomic and cognitive functional components that provide intelligent control as well as nerve end-points that act like nerve endings for neural transport (detection and triggering of communications) and nerve channels that connect the overall system. The big difference is that the IoT technology market will benefit from engineering design in terms of AI and cognitive computing placement in both centralized and edge computing locations.

Taking the convergence of AI and IoT one step further, the publisher coined the term AIoT5G to refer to the convergence of AI, IoT, 5G. The convergence of these technologies will attract innovation that will create further advancements in various industry verticals and other technologies such as robotics and virtual reality.

While early AIoT market solutions are rather monolithic, it is anticipated that AIoT integration within businesses and industries will ultimately lead to more sophisticated and valuable inter-business and cross-industry solutions.These solutions will focus primarily upon optimizing system and network operations as well as extracting value from industry data through dramatically improved analytics and decision-making processes.

As IoT networks proliferate throughout every major industry vertical, there will be 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. Data generated from IoT supported systems will become extremely valuable, both for internal corporate needs as well as for many customer-facing functions such as product life cycle management.

For example, we see smart cities providing significant opportunities for technology integration in support of highly customized, yet scalable services. There will be a positive feedback loop created and sustained by leveraging the interdependent capabilities of AIoT5G. AI will work in conjunction with IoT to substantially improve smart city supply chains. Metropolitan area supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer.

Research Benefits

  • 5G and AIoT forecasts 2020 to 2025
  • Understand the convergence of AI with IoT
  • Understand the role of AI in Big data and IoT
  • 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

Key Topics Covered

1. Executive Summary
2. Introduction
3. AIoT Technology and Market
4. AIoT Applications Analysis
5. Analysis of Important AIoT Companies
6. AIoT Market Analysis and Forecasts 2020-2025
7. Conclusions and Recommendations

Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2020-2025

1. Executive Summary
2. Introduction
3. Overview
4. AI Technology in Big Data and IoT
5. AI Technology Application and Use Case
6. AI Technology Impact on Vertical Market
7. AI Predictive Analytics in Vertical Industry
8. Company Analysis
9. AI in Big Data and IoT Market Analysis and Forecasts 2020-2025
10. Conclusions and Recommendations
11. Appendix

5G Applications and Services Market by Service Provider Type, Connection Type, Deployment Type, Use Cases, 5G Service Category, Computing as a Service, and Industry Verticals 2020-2025

1. Executive Summary
2. Introduction
3. LTE and 5G Technology and Capabilities Overview
4. LTE and 5G Technology and Business Dynamics
5. Company Analysis
6. LTE and 5G Application Market Analysis and Forecasts
7. Conclusions and Recommendations

Companies Mentioned

  • AB Electrolux
  • ABB Ltd.
  • AIBrian Inc.
  • Airspan
  • Airtel
  • Alibaba
  • Alluvium
  • Altair Semiconductor
  • Alvarion
  • Amazon
  • America Movil
  • Analog Devices Inc.
  • AOL
  • Apple Inc.
  • ARM Limited
  • Arundo Analytics
  • Ascom
  • Asus
  • AT&T
  • Atmel Corporation
  • Augury Systems
  • Ayla Networks Inc.
  • Baidu
  • Brighterion Inc.
  • Broadcom Corporation
  • BT Group
  • Buddy
  • C-B4
  • C3 IoT
  • Canvass Analytics
  • Cavium Inc.
  • China Mobile
  • China Telecom
  • China Unicom
  • Ciena Corporation
  • Cisco Systems
  • ClipBucket
  • CloudMinds
  • Cobham Wireless
  • Colt
  • Comfy
  • Contus Vplay
  • Coolpad Dyno
  • Cradlepoint
  • Cumulocity GmBH
  • Cypress Semiconductor Corp.
  • D-Link
  • Deutsche Telekom AG
  • Digital Reasoning Systems Inc.
  • Dish
  • DT42
  • DU
  • Echelon Corporation
  • Enea AB
  • Entel
  • Ericsson
  • Eurotech
  • Express Logic Inc.
  • Facebook Inc.
  • Falkonry
  • Fitbit
  • FocusMotion
  • Fubo TV
  • Fujitsu Ltd.
  • Gemalto N.V.
  • General Electric
  • General Vision Inc.
  • Glassbeam
  • Google
  • Graphcore
  • Haier Group Corporation
  • Harris
  • Helium Systems
  • Hewlett Packard Enterprise
  • HTC
  • Huawei Technologies
  • Hulu
  • Hytera
  • IBM Corp.
  • Imagimob
  • Inbenta
  • Infineon Technologies AG
  • Inmarsat
  • Innodisk
  • Intel Corporation
  • Interactor
  • Juniper Networks
  • KDDI Corporation
  • KT Corporation
  • Leonardo
  • LG Electronics
  • LG Uplus
  • Losant IoT
  • M2M Connectivity Pty Ltd.
  • Maana
  • MACOM Technology
  • MediaTek Inc.
  • Mentura Group
  • Micron Technology
  • Microsoft Corp.
  • Misfit
  • mnubo
  • MoBagel
  • Mobiotics
  • Mobvoi
  • Moov
  • Motorola
  • Movistar
  • Muvi
  • NEC Corporation
  • Netcracker
  • Netflix
  • Netgear
  • Neura
  • Nokia Corporation
  • NTT DoCoMo
  • NVidia
  • Ooredoo
  • Ooyala
  • OpenAI
  • Oracle Corporation
  • Orange SA
  • Pepper
  • Philo TV
  • PointGrab
  • PTC Corporation
  • Qorvo Inc.
  • Qualcomm
  • Quickplay
  • Rakuten
  • RedLinX
  • REVE Systems
  • Ribbon Communications
  • Robert Bosch GmbH
  • Rogers Communications
  • Roku
  • Salesforce Inc.
  • Samsung Electronics
  • SAS
  • Saudi Telecom Company
  • Sentenai
  • Sentrian
  • Sharp
  • ShiftPixy
  • Siemens AG
  • Sierra Wireless
  • SimNet Wireless
  • SingTel
  • Siretta
  • SK Telecom
  • Sky Go
  • Skype (Microsoft)
  • Snap Inc.
  • Softbank Group
  • SoftBank Robotics
  • Sony
  • SpaceX
  • Spark NZ
  • SparkCognition
  • Spotify AB
  • Sprint Corporation
  • STMicroelectronics
  • Swisscom
  • Symantec Corporation
  • T-Mobile USA
  • Tachyus
  • Telecom Italia
  • Telefonica
  • Telegram
  • Telenor
  • Telit Communications
  • Tellmeplus
  • Telstra
  • Tencent
  • Terminus
  • Tesla
  • Texas Instruments
  • Texim Europe
  • Tuya Smart
  • Twitter
  • UbiFi
  • Uptake
  • Verizon
  • Veros Systems
  • Vidmind
  • VMware Inc.
  • Vodafone Group
  • Vplayed
  • WeChat
  • Whirlpool Corporation
  • Wind River Systems
  • Xiaomi Technology
  • Yahoo
  • Zain
  • Zenitel
  • ZTE Corporation
  • Zyxel

For more information about this report visit

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