A12590 | Pages: NA | Sep 2022 | 1059 Views | ||
Author(s) : Vineet Kumar | Tables: NA | Charts: NA |
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Pandemic disrupted the entire world and affected many industries.
Get detailed COVID-19 impact analysis on the Ai In Iot Market
Request Now !AI in IoT Market Statistics - 2030
AI in IoT is a combination of linking the computer to the internet &other connected devices, analyzing big data, and supplying the necessary amount of data to the system. By the use of AI in IoT, data collection and methodology are being addressed since AI analyzes it in a better way. In addition, the need to process large amounts of real-time data produced by the IoT appliances is expected to create new opportunities for Artificial Intelligence in the IoT industry. It provides the tools and structure to go further automation and real-time decision in cases related to IoT. AI in IoT market software is segmented into NLP, ML and Deep Learning. Machine learning performs the task of automatic learning without ordering specific instructions and has the ability to work as a strong analytical tool for huge data.
Market Scope and Structure Analysis
Report Metric | Details |
 Market Size Available for the Years |  2020-2030 |
 Base Year Considered |  2020 |
 Forecast Period |  2021-2030 |
 Forecast Unit |  Value (USD) |
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Impact of COVID-19 on AI in IoT Market-
Top Impacting Factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis
Adoption of AI in IoT Market
AI in IoT market has implemented core technologies such as machine learning and DL for security units. In addition, AI enabled IoT application for manufacturing can also effectively manage operations such as equipment performance monitoring, quality control, and human interaction. Moreover, with the increase in adoption of sensors and connected devices, there has been a surge in data point that is generated in the manufacturing sector.Â
Data Security and Privacy Issues
The IoT devices are connected to your desktop/laptop or with other systems. So, if the IoT device contains any security susceptibility, it can be harmful to the consumer’s network. This susceptibility can attack other systems and damage them. Risk of privacy always persists while using IoT devices because they are interconnected with various hardware components and software, as chances of sensitive information leakage can happen through unauthorized manipulation. However, IoT devices transmit the user’s personal information such as name, address, date of birth, and credit card details without encryption. Sometimes, lack of security increases the risk of personal information leakage while the data is collected and transmitted to the IoT device.
Key Segments Covered
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Key Benefits of the Report
Questions Answered in the Global AI in IoT Market Research Report
Key Market Segments & Key Market Players
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