What is AI Edge Computing Market?
Edge AI combines edge computing with artificial intelligence (AI). AI edge computing relies heavily on data transmission and computation of complex machine learning algorithms. It sets up a new age computing paradigm that moves AI and machine learning to where the data generation and computation take place at the edge of the network. It helps make data storage and computation more accessible to users.
The market study is being classified, by Application (Virtual Assistants, Automated Optical Inspection, Transportation and Others) and major geographies with country level break-up.
Nvidia (United States), DataRobot, Inc. (United States), OpenAI (United States), CloudMinds (China), Graphcore (United Kingdom), Clarifai (United States), Flex Logix Technologies, Inc. (United States), Mavenir (United States), Cloudera (United States) and Imagimob AB (Sweden) are some of the key players profiled in the study.
Global AI Edge Computing is a fragmented market due to the presence of various players. The players are investing more in mergers and acquisitions to enhance their market presence. The companies are planning strategic activities like partnerships, mergers, and acquisitions which will help them to sustain in the market and maintain their competitive edge.
Analyst at AMA have segmented the market study of Global AI Edge Computing market by Type, Application and Region.
On the basis of geography, the market of AI Edge Computing has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
- AI Edge Computing Facilitates Machine Learning, Autonomous Application of Deep Learning Models
- Developments in Knowledge like Data Science, Machine Learning, and IoT Development
- Poor Data Quality
- Limited Machine Learning Power Associated with the AI Edge Computing
- Growing Adoption of AI and Machine Learning and Autonomous Vehicles can create Opportunities for the AI Edge Computing Market Growth
In 2019, Nvidia has launched an Edge computing platform to bring real-time AI to global industries. The new platform is designed to meet the growing demand to perform instantaneously, high-throughput AI at the edge-where data is created with guaranteed response times while reducing the amount of data that must be sent to the cloud.
Key Target AudienceAI Edge Computing Regulatory Bodies, Potential Investors, Research and Development Institutes and Others