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Power & Energy
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.
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This market study covers the global and regional market with an
in-depth analysis of the
overall growth prospects...
- By product type
- By End User/Applications
- By Technology
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The report provides a detailed evaluation of the market by
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different aspects including drivers, restraints...
