Edge AI Software Market Key Competitors Analysis with Recent Trends, Size, Industry Share and Regional Forecast to 2027
This growth attributes to futuristic edge AI capabilities that empower businesses to grow exponentially with the help of connected technologies & smart devices. Edge AI can also assist in overcoming technological challenges associated with AI. Edge computing is witnessing a significant interest with the introduction of 5G. Similarly, augmenting uptake of edge AI in growing numbers of businesses augments the market demand.
The Edge AI Software Market is witnessing outstanding growth over
the past couple of years. Edge AI solutions allow faster computing &
insights, better data security, and efficient control over continuous
operation, enhancing the performance of AI-enabled applications and keeping the
operating costs down. Proliferation of connected & smart devices and the
massive amount of data generated escalate the market shares.
With rising developments around edge AI
impacting modern digital enterprises, the market is estimated to garner
significant traction in the next few years. According to Market Research Future
(MRFR), the global edge AI software market is expected to gain exponential
valuation by 2027, posting a phenomenal CAGR during the assessment period (2020
– 2027).
On the other hand, safety and security
concerns and the reluctance of the market players for investments inhibit the
market growth. Edge AI facilitates machine learning (ML), autonomous
application of deep learning (DL) models, and advanced algorithms on the
Internet of Things (IoT) devices, which would support the market growth
throughout the assessment period.
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Global Edge AI software Market –
Segments
The market is segmented into
components, data sources, verticals, and regions. The component segment is
sub-segmented into solutions and services. The sub-segment solution is further
bifurcated into software tools and platforms. At the same time, the sub-segment
service is further segmented into system integration & testing services,
training & consultation services, support & maintenance services, and
others.
The data source segment is
sub-segmented into video & image recognition, biometric data, speech
recognition, sensor data, mobile data, and others. The application segment is
sub-segmented into autonomous vehicles, video surveillance, access management,
remote monitoring & predictive maintenance, energy management, telemetry,
and others.
The vertical segment is sub-segmented
into government & public, energy & utilities, manufacturing,
automotive, telecom, healthcare, and others. The region segment is
sub-segmented into Europe, North America, Asia Pacific, the Middle East &
Africa, and others.
Global Edge AI software Market-
Geographical Analysis
North America leads the global edge AI
software market. The largest market share is attributed to vast technological
advances and well-established infrastructures in the region. Augmenting uptake
backed by the government’s programs encouraging advancements in IoT & cloud
technologies is another growth driver.
Besides, increasing deployments
of edge AI software technologies with advanced analytics providing
comprehensive support and specialty in real-time data access substantiate the
market size. Rising demand for edge AI solutions among enterprises to take
faster business decisions, comprehending business scenarios quickly, offer vast
market opportunities.
Global Edge AI software Market –
Competitive Analysis
Edge AI software market appears to be
competitive & fragmented due to many matured & small key players
accounting for a substantial market share. Through the acquisition, strategic
partnership, expansion, product/technology launch &collaboration, these
players gain a larger competitive advantage. Heavy investments are transpired
in the R&D to develop a completely different technology compared to their
competition.
Major Players:
Players leading the global edge AI
software market include IBM Corporation (US), Microsoft Corporation (US),
Amazon Web Services (US), Synaptics (US), Nutanix Inc. (US), TIBCO Software
(US), Intel Corporation (US), Octonion SA (Switzerland), HPE (US), Foghorn
Systems (US), Oracle Corporation (US), Gorilla Technology Group (Taiwan),
ClearBlade (US), Azion Technologies (US), TACT.Ai Technologies (US), ADAPDIX
(US), SIXSQ (Geneva), and ALEF EDGE (US), among others.
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