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

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Feb 04, 2020, 11:15 ET

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 ResearchAndMarkets.com's offering.

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
MYCOM OSI
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 https://www.researchandmarkets.com/r/r5p2bs

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