AI in IoT Market Analysis By Technological Advancement, Regional Outlook And Forecast to 2027

Latest released, the research study on Global AI in IoT Market Report Forecast 2021 - 2027, offers a detailed overview of the factors influencing the global business scope. AI in IoT Market research report shows the latest market insights, current situation analysis with upcoming trends and breakdown of the products and services. The report provides key statistics on the market status, size, share, growth factors of the AI in IoT. The study covers emerging player's data, including competitive landscape, sales, revenue and global market share of top manufacturers are: IBM, Microsoft, Google, PTC, AWS, Oracle, GE, Salesforce, SAP, Hitachi, Uptake, SAS, Autoplant Systems India Pvt. Ltd., Kairos, Softweb Solutions, Arundo, C3 IoT, Anagog, Thingstel, Imagimob

The global AI in IoT market size is projected to reach US$ 10280 million by 2027, from US$ 3808.5 million in 2020, at a CAGR of 14.7% during 2021-2027.

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Industry News and Updates:

- In March 2020, Azure IoT Introduces seamless integration with Cisco IoT. This partnership between Cisco and Azure IoT is expected to simplify customer deployments significantly. It gives customers the ability to securely connect their assets and simply ingest and send IoT data to the cloud. Cisco IoT Gateways will now be pre-integrated to take advantage of the latest in cloud technology from Azure.

 In October 2019, SAP SE and Verizon partnered to create enterprise solutions that use Verizons network and platform capabilities integrated with SAP software and services, particularly the SAP Leonardo Internet of Things (IoT) solution, SAP Edge Services, and analytics, computing and data management capabilities.

Covid-19 Impact and Recovery Analysis:

The global AI in IoT market report also includes the impact of the Covid-19 pandemic. Moreover, it offers an exhaustive analysis of aspects that will encounter the development of the market pre & post Covid-19 pandemic.

This report elaborates the market size, market characteristics, and market growth of the AI in IoT industry, and breaks down according to the type, application, and consumption area of AI in IoT. The report also conducted a PESTEL analysis of the industry to study the main influencing factors and entry barriers of the industry.

Market Segmentation:

By Type:

Platforms

Software Solutions

Services

By Application:

Manufacturing

Energy and Utilities

Transportation and Mobility

Banking, Financial Services, and Insurance

Government and Defense

Retail

Others

Regional Analysis:

North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia and Australia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

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Influence of the AI in IoT Market report:

-Comprehensive assessment of all opportunities and risks in the AI in IoT Market.

-AI in IoT Market recent innovations and major events.

-A Detailed study of business strategies for the growth of the AI in IoT Market-leading players.

-Conclusive study about the growth plot of AI in IoT Market for forthcoming years.

-In-depth understanding of AI in IoT Market -particular drivers, constraints and major micro markets.

Key questions answered

- Who are the Leading key players and what are their Key Business plans in the Global AI in IoT market?
- What are the key concerns of the five forces analysis of the Global AI in IoT market?
- What are different prospects and threats faced by the dealers in the Global AI in IoT market?
- What are the strengths and weaknesses of the key vendors?

The research includes historic data from 2016 to 2021 and forecasts until 2027 which makes the reports an invaluable resource for industry executives, marketing, sales, and product managers, consultants, analysts, and other people looking for key industry data in readily accessible documents with clearly presented tables and graphs.

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