Global Artificial Intelligence in IoT Market 2019 by Company, Regions, Type and Application, Forecast to 2024 - MarketResearchNest.com

Global Artificial Intelligence in IoT Market 2019 by Company, Regions, Type and Application, Forecast to 2024

Description :
In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and othe...

Publish Date : 15-Jul-2019

No.Of Pages : 138

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In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. More specifically, Kaplan and Haenlein define AI as "a system's ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation". Colloquially, the term "artificial intelligence" is used to describe machines that mimic "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".

Scope of the Report:
The global Artificial Intelligence in IoT market is valued at xx million USD in 2018 and is expected to reach xx million USD by the end of 2024, growing at a CAGR of xx% between 2019 and 2024.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Artificial Intelligence in IoT.
Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2024, with a CAGR of xx%.
This report studies the Artificial Intelligence in IoT market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Artificial Intelligence in IoT market by product type and applications/end industries.

Market Segment by Companies, this report covers
Google
Baidu
IBM
Microsoft
SAP
Intel
Salesforce
Brighterion
Amazon
AT and T
CISCO
ORACLE
HITACHI
KITT.AI
IFlyTek
Megvii Technology
Albert Technologies
H2O.ai
Brainasoft
Yseop
Ipsoft
NanoRep(LogMeIn)
Ada Support
Astute Solutions
IDEAL.com
Wipro

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

Market Segment by Type, covers
On-Premise
Cloud-based

Market Segment by Applications, can be divided into
Small and Medium Scale Business
Large Scale Busines

SECONDARY RESEARCH

Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH

Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING

The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION

The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION

After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.

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