Artificial Intelligence Software Platform Market Research, By Component (Solution- Machine Learning, Natural Language Processing, Others; Services), Deployment (On-Premise, On-Cloud), Vertical (Automotive, Retail, Healthcare) – Global Forecast till 2023
The global AI Software Platform market was valued at USD 2.75 billion in 2017 and is expected to reach USD 11.3 billion by the end of the forecast period with a CAGR of 28.1%.
The AI Software platforms perform tasks which are done by humans with the use of machines. AI platforms simulate the cognitive function that human minds accomplish.
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The global AI Software Platform market is segmented into Component, Deployment, Vertical and Region.
By component, the global AI Software Platform is segmented into Solution and Services. The Solution segment is further divided into Machine Learning, Natural Language Processing and Others.
By deployment, the global AI Software Platform is segmented into On-Premise and On-Cloud.
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The global market for AI Software Platform is estimated to grow from $ 2.75 billion at a CAGR of 28.1% during the forecast period from 2018 to 2023. The geographical analysis of AI Software Platform market is studied for North America, Europe, Asia-Pacific, and the rest of the world (including the Middle East, Africa, and Latin America).
Among the regions mentioned, North America is anticipated to have the largest market share during the forecast period. The US occupies nearly 75-80% of the major key players operating in this market and has almost 75% of market share in the current market scenario.
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The key players in the AI Software Platform market are identified across all the major regions based on their country of origin, presence across different regions, recent key developments, product diversification, and industry expertise. Some of them are— Intel (US), Nvidia (US), Microsoft (US), IBM (US), Google (US), SAP (US), Amazon Web Services (US), Wipro (India), Infosys (India), Ayasdi (US), Qualcomm (US), Salesforce (US), Playment (US), H2O.ai (US), Infrrd Inc. (US).
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• Government Agencies
• Service/Solution Providers
• Consulting Firms
• AI System Integrators
• Research Institutes and Organizations
• Technology Standards Organizations
• AI Software Platform Vendors
• Application Developers
• Initial public offering/venture capitalist/angel investors
• Information security directors/managers
• Banking, Financial Services, and Insurance (BFSI), healthcare, retail, and manufacturing organizations