Global Artificial Intelligence Software System Market 2019 by Company, Regions, Type and Application, Forecast to 2024

SKU ID : GIR-13837303 | Publishing Date : 12-Feb-2019 | No. of pages : 138

Artificial intelligence (AI, also machine intelligence, MI) is intelligence displayed by machines, in contrast with the natural intelligence (NI) displayed by humans and other animals. Artificial intelligence software system is Software that is capable of intelligent behavior. In creating intelligent software, this involves simulating a number of capabilities, including reasoning, learning, problem solving, perception, and knowledge representation.

Scope of the Report:
Artificial Intelligence Software System is mainly used for three applications: Voice Processing,
Text Processing and Image Processing. And Text Processing was the most widely used area which took up about 49.74% of the global total in 2017. However, in the future, Image Processing will occupy more share.
United States is the largest consumption countries of Artificial Intelligence Software System in the world in the past few years and it will keep leader position in the next few years. United States market took up about 35.88% the global market in 2017, while Europe was about 22.43%.
USA is now the key developers of Artificial Intelligence Software System; most companies are in USA. Others are in Europe, China and India.
IBM, Google, Megvii Technology, Wipro and Intel are the key suppliers in the global Artificial Intelligence Software System market. Top 5 took up about 59.46% of the global market in 2017.
The global Artificial Intelligence Software System market is valued at 2650 million USD in 2018 and is expected to reach 46000 million USD by the end of 2024, growing at a CAGR of 60.9% 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 Software System.
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 Software System 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 Software System market by product type and applications/end industries.

Market Segment by Companies, this report covers
Google
Baidu
IBM
Microsoft
SAP
Intel
Salesforce
Brighterion
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
Voice Processing
Text Processing
Image Processing

Frequently Asked Questions

This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
  • By product type
  • By End User/Applications
  • By Technology
  • By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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