Product Description
Artificial intelligence helps machines to behave like humans in areas like face recognition, decision making, learning and solving problems. AI are basically used for learning and taking self-decisions on the processing of complex organized or unorganized data. Internet of things (IoT) is a network of technologies or sensors that contain embedded technology that helps in communicating and interacting with their data that is they receive and transfer data through the network without human interactions or human to computer involvement. These data from devices or sensors can be stored in the cloud and it can be made available for real-time analytics. IoT collects these vast amount of data from different environment. With the help of data science, AI converts these collective data into applications, applying analytics to the data to make decisions. So the whole process involves collecting and processing data which requires new ways of innovating with AI.
The Artificial Intelligence in IoT market revenue was xx Million USD in 2019, grew to xx Million USD in 2023, and will reach xx Million USD in 2031, with a CAGR of xx during 2024-2031.
Considering the influence of COVID-19 on the global Artificial Intelligence in IoT market, this report analyzed the impact from both global and regional perspectives. From production end to consumption end in regions such as North America, Europe, China, and Japan, the report put emphasis on analysis of market under COVID-19 and corresponding response policy in different regions.
This report also analyzes the strategies for different companies to deal with the impact of COVID-19 in detail to seek a path to recovery.
Under COVID-19 Outbreak, how the Artificial Intelligence in IoT Industry will develop is also analyzed in detail in Chapter 1.8 of this report.
Major Players in Artificial Intelligence in IoT market are:
SAP
Google
Salesforce
Anagog
C3 IoT
PTC
Hitachi
Imagimob
Kairos
Softweb Solutions
Oracle
SAS
Uptake
Microsoft
Thingstel
IBM
Autoplant Systems India Pvt. Ltd.
GE
AWS
Arundo
Most important types of Artificial Intelligence in IoT products covered in this report are:
Software Solutions
Services
Most widely used downstream fields of Artificial Intelligence in IoT market covered in this report are:
Manufacturing
Energy and Utilities
Transportation and Mobility
Banking, Financial Services, and Insurance
Government and Defense
Retail
Others
Major Regions or countries covered in this report:
North America
Europe
China
Japan
Middle East and Africa
South America
India
South Korea
Southeast Asia
Others
In Chapter 3.4, the report provides analysis of the reasons behind price fluctuations.
In chapters 5, 6, and 7, the impact of COVID-19 on the different regions in both production and consumption end and SWOT analysis are pointed out.
In Chapters 8, the report presents company's recent development and strategies to deal with the impact of COVID-19.