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117 Pages, November 2018
About this market
Manufacturers are using AIaaS with machines using national language processing (NLP). This is identified as one of the key trends that will gain traction in the market during the forecast period. They use NLP as it helps in reading text, measuring sentiments, and computer systems to hear speech. Analysts have predicted that the global artificial intelligence-as-a-service (AIaaS) market will register a CAGR of over 47% by 2023.
Market overview
The use of advanced infrastructure at a reduced cost
AI is a complex machine. It includes high investments as It requires hardware such as software and sensors and maintenance and repair costs. This encouraged enterprises to outsource these tasks to AIaaS providers by avoiding direct costs associated with the implementation of AI.
Threat from open source AI-solutions
Open-source AI solutions can be run on all platforms and downloaded free of cost. As a result, they are becoming increasingly popular in developing economies.
For the detailed list of factors that will drive and challenge the growth of the global artificial intelligence-as-a-service (AIaaS) market during 2019-2023, view our report.
Completive landscape
The market appears to be highly fragmented with the presence of many companies. Factors such as the integration of AIaaS with machines using national language processing (NLP)and the use of advanced infrastructure at a reduced cost, will provide considerable growth opportunities to artificial intelligence-as-a-service (AIaaS) vendors. Alphabet, Amazon.com, IBM, Microsoft, and SAP are some of the major companies covered in this report.
About this market
Manufacturers are using AIaaS with machines using national language processing (NLP). This is identified as one of the key trends that will gain traction in the market during the forecast period. They use NLP as it helps in reading text, measuring sentiments, and computer systems to hear speech. Analysts have predicted that the global artificial intelligence-as-a-service (AIaaS) market will register a CAGR of over 47% by 2023.
Market overview
The use of advanced infrastructure at a reduced cost
AI is a complex machine. It includes high investments as It requires hardware such as software and sensors and maintenance and repair costs. This encouraged enterprises to outsource these tasks to AIaaS providers by avoiding direct costs associated with the implementation of AI.
Threat from open source AI-solutions
Open-source AI solutions can be run on all platforms and downloaded free of cost. As a result, they are becoming increasingly popular in developing economies.
For the detailed list of factors that will drive and challenge the growth of the global artificial intelligence-as-a-service (AIaaS) market during 2019-2023, view our report.
Completive landscape
The market appears to be highly fragmented with the presence of many companies. Factors such as the integration of AIaaS with machines using national language processing (NLP)and the use of advanced infrastructure at a reduced cost, will provide considerable growth opportunities to artificial intelligence-as-a-service (AIaaS) vendors. Alphabet, Amazon.com, IBM, Microsoft, and SAP are some of the major companies covered in this report.
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.
