Product Description
Artificial Intelligence as a Service (AIaaS) is the third party offering of artificial intelligence (AI) outsourcing. AI as a service allows individuals and companies to experiment with AI for various purposes without large initial investment and with lower risk. Experimentation can allow the sampling of multiple public cloud platforms to test different machine learning algorithms.
The Artificial Intelligence as a Service market revenue was xx Million USD in 2019, grew to xx Million USD in 2023, and will reach xx Million USD in 2031, with a CAGR of xx during 2024-2031.
Considering the influence of COVID-19 on the global Artificial Intelligence as a Service market, this report analyzed the impact from both global and regional perspectives. From production end to consumption end in regions such as North America, Europe, China, and Japan, the report put emphasis on analysis of market under COVID-19 and corresponding response policy in different regions.
This report also analyzes the strategies for different companies to deal with the impact of COVID-19 in detail to seek a path to recovery.
Under COVID-19 Outbreak, how the Artificial Intelligence as a Service Industry will develop is also analyzed in detail in Chapter 1.8 of this report.
Major Players in Artificial Intelligence as a Service market are:
Google
Intel
SAS Institute
IBM
Baidu
SAP
Amazon Web Services
Microsoft
FICO
Bigml
Salesforce
Most important types of Artificial Intelligence as a Service products covered in this report are:
Machine Learning (ML) and Deep Learning
Natural Language Processing (NLP)
Most widely used downstream fields of Artificial Intelligence as a Service market covered in this report are:
BFSI
Healthcare and Life Sciences
Retail
Telecommunications
Government and defense
Manufacturing
Energy
Others
Major Regions or countries covered in this report:
North America
Europe
China
Japan
Middle East and Africa
South America
India
South Korea
Southeast Asia
Others
In Chapter 3.4, the report provides analysis of the reasons behind price fluctuations.
In chapters 5, 6, and 7, the impact of COVID-19 on the different regions in both production and consumption end and SWOT analysis are pointed out.
In Chapters 8, the report presents company's recent development and strategies to deal with the impact of COVID-19.