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 Òa systemÕs ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptationÓ. 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 2020 and is expected to reach xx million USD by the end of 2026, growing at a CAGR of xx% between 2020 and 2026.
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 2020 and will be xx million USD in 2026, 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 & 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 & Medium Scale Business
Large Scale Busines
Frequently Asked Questions
The base year for the study has been considered 2019, historic year 2014 and 2018, the forecast period considered is from 2020 to 2027. The regions analyzed for the market include North America, Europe, South America, Asia Pacific, and Middle East and Africa. These regions are further analyzed at the country-level. The study also includes attractiveness analysis of type, application and regions which are benchmarked based on their market size, growth rate and attractiveness in terms of present and future opportunity for understanding the future growth of the market.
Market is segmented on the basis:
- By Type
- By Application
- By Region
- By Country
- By Manufacturer
The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. The report emphasizes on all the key trends that play a vital role in the enlargement of the market from 2019 to 2026.
The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering, segment market share, regional presence, business strategies, innovations, mergers & acquisitions, recent developments, joint venture, collaborations, partnerships, SWOT analysis, and key financial information.
