2020-2025 Global Artificial Intelligence in IoT Market Report - Production and Consumption Professional Analysis (Impact of COVID-19)
- 85012
- 08-Apr
- Software & Services
- 102
- MRR
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Report Details
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. This report elaborates the market size, market characteristics, and market growth of the Artificial Intelligence in IoT industry, and breaks down according to the type, application, and consumption area of Artificial Intelligence in IoT. The report also conducted a PESTEL analysis of the industry to study the main influencing factors and entry barriers of the industry. In Chapter 3.4 of the report, the impact of the COVID-19 outbreak on the industry was fully assessed. Fully risk assessment and industry recommendations were made for Artificial Intelligence in IoT in a special period. This chapter also compares the markets of Pre COVID-19 and Post COVID-19. In addition, chapters 8-12 consider the impact of COVID-19 on the regional economy. Key players in the global Artificial Intelligence in IoT market covered in Chapter 13: Google SAS Uptake Salesforce C3 IoT Microsoft GE SAP IBM Thingstel Oracle Anagog Autoplant Systems India Pvt. Ltd. Kairos Softweb Solutions Hitachi Arundo Imagimob PTC AWS In Chapter 6, on the basis of types, the Artificial Intelligence in IoT market from 2015 to 2025 is primarily split into: Software Solutions Services In Chapter 7, 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 production, trade of the following countries is covered in Chapter 4.2, 5: United States Europe China Japan India Geographically, the detailed analysis of consumption, revenue, market share and growth rate of the following regions are covered in Chapter 8, 9, 10, 11, 12: North America (Covered in Chapter 8) United States Canada Mexico Europe (Covered in Chapter 9) Germany UK France Italy Spain Others Asia-Pacific (Covered in Chapter 10) China Japan India South Korea Southeast Asia Others Middle East and Africa (Covered in Chapter 11) Saudi Arabia UAE South Africa Others South America (Covered in Chapter 12) Brazil Others Years considered for this report: Historical Years: 2015-2019 Base Year: 2019 Estimated Year: 2020 Forecast Period: 2020-2025
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Table Of Content
Table of Content 1 Artificial Intelligence in IoT Market - Research Scope 1.1 Study Goals 1.2 Market Definition and Scope 1.3 Key Market Segments 1.4 Study and Forecasting Years 2 Artificial Intelligence in IoT Market - Research Methodology 2.1 Methodology 2.2 Research Data Source 2.2.1 Secondary Data 2.2.2 Primary Data 2.2.3 Market Size Estimation 2.2.4 Legal Disclaimer 3 Artif
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