COVID-19 Outbreak-Global Artificial Intelligence in IoT Industry Market Report-Development Trends, Threats, Opportunities and Competitive Landscape in 2020

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.xx Million USD in 2019, and will reach xx.xx Million USD in 2025, with a CAGR of x.x% during 2020-2025.

Under COVID-19 outbreak globally, this report provides 360 degrees of analysis from supply chain, import and export control to regional government policy and future influence on the industry. Detailed analysis about market status (2015-2020), enterprise competition pattern, advantages and disadvantages of enterprise products, industry development trends (2020-2025), regional industrial layout characteristics and macroeconomic policies, industrial policy has also been included. From raw materials to end users of this industry are analyzed scientifically, the trends of product circulation and sales channel will be presented as well. Considering COVID-19, this report provides comprehensive and in-depth analysis on how the epidemic push this industry transformation and reform.

In COVID-19 outbreak, Chapter 2.2 of this report provides an analysis of the impact of COVID-19 on the global economy and the Artificial Intelligence in IoT industry.
Chapter 3.7 covers the analysis of the impact of COVID-19 from the perspective of the industry chain.
In addition, chapters 7-11 consider the impact of COVID-19 on the regional economy.

The Artificial Intelligence in IoT market can be split based on product types, major applications, and important countries as follows:

Key players in the global Artificial Intelligence in IoT market covered in Chapter 12:
Autoplant Systems India Pvt. Ltd.
SAP
Hitachi
PTC
Thingstel
GE
Imagimob
Salesforce
Oracle
AWS
Microsoft
Arundo
C3 IoT
IBM
Uptake
Google
Anagog
Softweb Solutions
Kairos
SAS

In Chapter 4 and 14.1, on the basis of types, the Artificial Intelligence in IoT market from 2015 to 2025 is primarily split into:
Software Solutions
Services

In Chapter 5 and 14.2, on the basis of applications, the Artificial Intelligence in IoT market from 2015 to 2025 covers:
Manufacturing
Energy and Utilities
Transportation and Mobility
Banking, Financial Services, and Insurance
Government and Defense
Retail
Others

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2025) of the following regions are covered in Chapter 6, 7, 8, 9, 10, 11, 14:
North America (Covered in Chapter 7 and 14)
United States
Canada
Mexico
Europe (Covered in Chapter 8 and 14)
Germany
UK
France
Italy
Spain
Russia
Others
Asia-Pacific (Covered in Chapter 9 and 14)
China
Japan
South Korea
Australia
India
Southeast Asia
Others
Middle East and Africa (Covered in Chapter 10 and 14)
Saudi Arabia
UAE
Egypt
Nigeria
South Africa
Others
South America (Covered in Chapter 11 and 14)
Brazil
Argentina
Columbia
Chile
Others

Years considered for this report:

Historical Years:

2015-2019

Base Year:

2019

Estimated Year:

2020

Forecast Period:

2020-2025

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