The Edge AI market is all about bringing the power of artificial intelligence to the very edge of networks and devices. It enables real-time data processing and decision-making, making devices and systems smarter and more responsive than ever.

1. Introduction :
Edge AI (or Edge Computing with Artificial Intelligence) is a distributed computing
paradigm that brings computation and storage closer to where data originates, rather
than depending on an entirely cloud-based solution. This allows for faster processing
speeds and response times as well as reduced latency and bandwidth requirements.
Edge AI market growth is being propelled by IoT device adoption, the desire for real-time
insights and decision making capabilities, cost reduction initiatives, and efforts to
increase efficiency.
According to market.us ,The Edge AI Market is anticipated to achieve a value of roughly
USD 143.6 Billion by 2032, a substantial rise from its 2022 value of USD 15.2 Billion.
This progress is expected to unfold at a compound annual growth rate (CAGR) of 25.9%
during the projection period from 2023 to 2032.
Following are the top 5 companies
1. NVIDIA :
NVIDIA Corporation is an innovative global technology company known for its
pioneering work in graphics processing units (GPUs) and artificial intelligence

2. technologies. Established by Jensen Huang, Chris Malachowsky and Chris Hoberman in
1993, NVIDIA has quickly grown into one of the premier semiconductor players. NVIDIA
GPUs can be found throughout gaming, professional visualization, data centers and
autonomous vehicles due to their remarkable processing power and parallel computing
abilities.
NVIDIA's involvement in AI and deep learning has been profound, with GPUs playing an
instrumental part in creating machine learning models. Their deep learning accelerators
such as CUDA and TensorRT software platforms have become essential resources for
researchers and developers in AI communities around the globe.
2. Microsoft Corporation:
Established by Bill Gates and Paul Allen in 1975, one of the world's largest and most
influential technology companies, Microsoft was one of the driving forces in bringing
personal computing revolution to mainstream users worldwide. From Windows
operating system and Office suite software to Azure cloud services used globally - all
support productivity, communication, and collaboration among businesses,
governments, and individuals worldwide.
Under CEO Satya Nadella's direction, Microsoft has undergone a dramatic
transformation, adopting cloud computing, artificial intelligence (AI), and open source
technologies. Azure, Microsoft's cloud platform is an industry leader, competing against
Amazon Web Services and Google Cloud; additionally, their investments in AI via their
Bot Framework and Azure AI have established them in this rapidly emerging sector.
3. IBM cor.;
International Business Machines Corporation, commonly referred to as IBM, is a
multinational technology and consulting firm founded in 1911. Since its creation, IBM
has been at the forefront of technological innovation; from early mainframes through
cloud computing and artificial intelligence. IBM's legacy in developing hardware and
software has had an enormous effect on tech industries worldwide.
IBM Watson, its cognitive computing system, marks IBM's entry into artificial intelligence
(AI). Watson is utilized in fields including healthcare, finance and customer service and
has provided invaluable insights through natural language processing and machine

3. learning. Furthermore, the company offers cloud computing through IBM Cloud which
offers infrastructure, platform and SaaS solutions for businesses and developers.
4. Alphabet, Inc.:
Established by Larry Page and Sergey Brin in 2015, Alphabet Inc is the parent company of
Google. Alphabet was created to streamline Google's various ventures for greater focus
on its core internet businesses while foraying into emerging technologies. Google itself
continues to dominate search engine market as part of Alphabet Inc with services
including Maps, YouTube and Android available for use.
Alphabet expanded their interests across fields like autonomous vehicles (Waymo),
healthcare (Verily), and smart cities (Sidewalk Labs). Alphabet's DeepMind subsidiary
leads AI research with groundbreaking achievements such as reinforcement learning
applications for healthcare purposes. They have also made strides in machine learning
technologies that are making significant waves within the tech sector.
5. Oracle Corporation:
Oracle is a global leader in database management systems and enterprise software,
founded by Larry Ellison, Bob Miner and Ed Oates in 1977 and known for its Oracle
Database which allows businesses to store, manage and analyze large volumes of data.
Furthermore, they also provide software products and cloud services like their flagship
offering of the latter - Oracle Cloud - tailored specifically to individual business
requirements.
Oracle has made significant investments in cloud infrastructure and services, competing
against industry titans such as Amazon Web Services and Microsoft Azure. Furthermore,
the company has taken to using artificial intelligence and machine learning technologies
in its business applications for enhanced analytics and automation purposes.
Suggested reading:
Global Edge AI Market By Deployment Mode (On-Premise and Cloud-Based) By
Component (Hardware, Software, and Services) By End-Use Industry (IT & Telecom,
Automotive, Government, Manufacturing, Healthcare, Consumers & Goods, and Other
End-Use Industries), By Region and Companies - Industry Segment Outlook, Market
Assessment, Competition Scenario, Trends, and Forecast 2023-2032

4. Recent development:
● Intel and Qualcomm Introduce New Edge AI Chips: Intel and Qualcomm recently
unveiled two edge AI chips designed to increase performance and efficiency of
edge AI applications. Intel's new FPGA, known as the Stratix 10 GX FPGA, can be
customized for specific edge AI uses while Qualcomm's Cloud AI 100 accelerator
specializes in running machine learning models at the edge.
● Google Launches Edge AI Software Platform: In recent weeks, Google unveiled
their Edge TPU edge AI software platform - an SDK to assist developers in building
and deploying edge AI apps on Google's Cloud TPUs more quickly and easily.
● Microsoft Unveils New Edge AI Cloud Service: Microsoft recently unveiled Azure
IoT Edge, its managed edge AI cloud service that enables businesses to deploy
and manage edge AI apps within their own infrastructure.
● Amazon Launches New Edge AI Services: Amazon recently unveiled several edge
AI services, such as Amazon SageMaker Edge and AWS Greengrass. Amazon
SageMaker Edge allows businesses to deploy and manage machine learning
models on edge devices; AWS Greengrass allows businesses to run compute,
messaging, data storage, and machine learning workloads locally on devices.