Mobile Edge Computing Annual Spend to Reach
$11.2 billion by
2024, Fueled by IoT, Start-Ups, AI & Machine Learning Innovation
$9.8 billion rise from 2019 to 2024 fueled by increasing
demand to acquire real-time analysis of critical data at the Edge, for
industries such as manufacturing, asset tracking and transportation
A new study from Juniper Research has found that total
annual spend on Mobile Edge Computing (the collection and analysis of data at
the source of generation, at the Edge of the network, instead of a centralized
location such as the cloud), will reach $11.2 billion by 2024. This is up from
an estimated $1.3 billion in 2019, with an average annual growth of 52.9%.
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AI & Machine Learning Are Advancing Edge Processing'.
The Leaders in Edge Processing
Juniper Research ranked leading players in the Edge
processing sector by a range of factors, such as the depth of their experience
in IoT, their geographical footprint, along with the number, and type, of
industries served. The top five players are:
- Siemens
- Bosch
- AWS
- VMWare
- Telit
Mobile Operators to support Edge Processing of 5G
Applications
Juniper Research believes that mobile operators will play an
important role in connecting Edge processing devices via 5G, particularly for
smart city initiatives, due to the large numbers of device users they serve, as
well as their ownership of mobile spectrum and local real estate assets.
Far East & China Accounts for Lion’s Share of $9.8
billion Increase
The new research, Edge Processing in IoT: Market Strategies,
Challenges & Future Outlook, 2019-2024, forecasts that the annual spend on
Edge processing in the Far East & China region will reach an estimated $4.6
billion in 2024; 41% of the global total spend. China’s three leading mobile
operators have been conducting Edge processing pilots since 2017, while Huawei,
Intel and Alibaba have collaborated to further Edge processing capabilities.
Research author, Elson Sutanto explains: “Edge Computing and
5G, supported by continued advancements in machine learning and AI-derived
algorithms, will continue to be the key drivers of Big Data analytics and
complex real-time analysis at the Edge of networks."
Source: Juniper Research media announcement
