AI in IoT Market by Component Type (Platform, Software and Services), Service Type (Professional Services and Managed Services), Software (ML, DL, NLP, and 0thers), Organizational Size (Small & Medium Enterprise and Large Enterprise), Industry Vertical (BFSI, Healthcare, Government & Defense, Energy & Utilities, Telecom, Manufacturing, and Others): Global Opportunity Analysis and Industry Forecast, 2021-2030

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

Impact of COVID-19 on AI in IoT Market-

• The emergence of COVID-19 pandemic has severely affected almost all industries except Healthcare across the world. Further, the COVID-19 has great impact on the healthcare ecosystem, starting from pharmaceutical companies, drugs makers, and vaccine developers, to health insurers and hospitals.
• The outbreak of COVID-19 pandemic has augmented the IoT healthcare solutions. It has positive and great impact on healthcare ecosystem, starting from pharmaceuticals, drug makers, vaccine developers, to health insurers and hospitality.
• In addition, the artificial intelligence model has been applied to predict and analyze the growth of the potential threat in countries across the world.
• Furthermore, IoT software solution has strong indications that the demand for technology and digital solutions is projected to increase in the long run, with the increase in COVID-19 cases. The impact of COVID-19 on technology may be extremely positive as everyone is forced to embrace new technologies and discover their benefits. Additional investments in digital infrastructure can be expected.

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. 

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

Key Benefits of the Report

• This study presents the analytical depiction of the global AI in IoT market along with the current trends and future estimations to determine the imminent investment pockets.
• The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of global AI in IoT market share.
• The current market is quantitatively analyzed from 2020 to 2030 to highlight the growth scenario of the global AI in IoT market.
• Porter’s five forces analysis illustrates the potency of buyers and suppliers in the market.
• The report provides detailed global AI in IoT market analysis based on competitive intensity and how the competition will take shape in coming years.

Questions Answered in the Global AI in IoT Market Research Report

• Which are the leading players active in the AI in energy market?
• What would be the detailed impact of COVID-19 on the market?
• What current trends would influence the market in the next few years?
• What are the driving factors, restraints, and opportunities in the AI in IoT market?
• What are the projections for the future that would help in taking further strategic steps?

 Key Market Segments & Key Market Players