Worldwide Sales Of Edge Analytics Are Projected To Reach US$ 62 Billion By 2033.
The global edge analytics market is valued at US$ 7 billion in 2023 and is expected to touch US$ 62 billion by 2033, advancing at an impressive CAGR of 24.3% from 2023 to 2033 (forecast period).
Edge analytics offers real-time analysis of
unstructured data produced on the edge of network devices. Instead of
transmitting data back to a centralized data store or server, edge analytics
conducts automatic analytical computations on acquired data in real time.
Edge analytics enables businesses to obtain more
advanced data quickly by utilizing machine learning and advanced analytics at
the point of data gathering. It also increases throughput, decreases downtime,
and enhances efficiency.
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Fact.MR, in
its latest business intelligence study, depicts the nuts and bolts of the
global Edge Analytics market. The report presents detailed information
regarding the drivers, restraints, opportunities and trends affecting market
growth.
Each segment
along with its sub-segment is analyzed in terms of value and volume. Further,
the report elaborates the market behavior of each vendor operating in the Edge
Analytics market.
Key findings of the Edge Analytics market
study:
·
Regional breakdown of the Edge Analytics
market based on predefined taxonomy.
·
Innovative manufacturing processes
implemented by Edge Analytics vendors in detail.
·
Region-wise and country-wise fragmentation of
the Edge Analytics market to grasp the revenue, and growth outlook in these
areas.
·
Changing preferences among consumers across
various regions and countries.
·
Factors (Positive and Negative) impacting the
growth of the global Edge Analytics
market.
Competitive
Landscape:
The global market for edge
analytics is very competitive, with multiple major competitors. Key players in
the edge analytics market are focusing on expanding their consumer base in
international countries. These players are using strategic collaboration
initiatives to increase their market share and profitability.
While many organizations
developing edge computing technology are established industry players and
global tech giants, the startups providing much of the innovation and many new
products and services are critical to the edge analytics market's long-term
growth.
- SliceUp, a start-up
based in the United States, develops an analytics system built on an edge
and cloud technology ecosystem. Edge computing systems use AI and Machine
Learning to detect anomalies at the point where raw data is generated. The
system can send critical and relevant information to the backend or store
it in the cloud server while removing anomalous data. This assists IT
departments in reducing the time, effort, and expense associated with
operational security.
- Cisco collaborated
with NetApp, a multinational, data-centric, cloud-led software firm, in
April 2022. NetApp collaborated with Cisco to introduce FlexPod XCS, the
progression of FlexPod that offers a single automated platform for data,
modern apps, and hybrid cloud services. FlexPod XCS, powered by Cisco
Intersight, offers companies significant new features like visibility,
automation, and hybrid cloud operations in a single unified platform.
- Hewlett Packard
Enterprise joined forces with Maxis, one of Malaysia's leading telecom
operators, in April 2022. Through their collaboration, both firms aimed to
create the country's first multi-access edge computing (MEC) solution for
enterprises. MEC systems will appeal to enterprises running time-critical
edge applications such as artificial intelligence, data analytics, machine learning, and
automation. MEC can decrease connectivity issues and data storage expenses
by improving efficiency and accuracy in real time.
- Intel Corporation
acquired Granulate Cloud Solutions, an Israeli provider of real-time
continuous optimization software, in March 2022. Granulate's purchase
would help cloud and data center clients maximize
compute workload performance while lowering infrastructure and cloud
expenses.
- Equinix struck a
collaboration with Nasdaq, a New York-based American stock exchange, in
January 2022. Under the multi-year agreement, the companies intended to
expand the Equinix NY11 data center in Carteret, New Jersey, to support
Nasdaq's cloud infrastructure build-out. The collaboration was designed to
get Nasdaq closer to moving its markets to the cloud. Equinox would assist
Nasdaq in meeting current and future infrastructure needs while also
expediting its worldwide cloud transformation.
Key Segments of Edge Analytics Industry Research:
·
By Component:
- Solutions
- Services
·
By Type:
- Predictive Analytics
- Diagnostic Analytics
- Prescriptive
Analytics
- Descriptive
Analytics
·
By End Use:
- IT & Telecom
- BFSI
- Transportation &
Logistics
- Manufacturing
- Retail &
Consumer Goods
- Energy &
Utilities
- Others
·
By Region:
- North America
- Latin America
- Europe
- APAC
- MEA
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