Cloud AI Market Global Industry Size, Growth, Manufacturers, Segments and Forecast Report

The Cloud AI Market was valued at USD 5.2 billion in 2019 and is expected to reach USD 13.1 billion by 2025, registering a CAGR of 20.3%, during the period of 2020-2025. The global cloud AI market is expected to grow significantly over the forecast period, owing to an increasing adoption rate of cloud-based services and a growing demand for virtual assistants in these cloud platforms. The rising adoption of hybrid cloud is also developing opportunities for the cloud AI market.

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– Governments in countries, like the United Kingdom and Australia, are insisting on the higher usage of hybrid cloud solutions to improve the existing IT infrastructure. The governments also insist on simultaneously providing significant cost-benefit. The trend is expected to continue during the forecast period.
– Critical sectors, like banking, are expected to adopt cloud-based deployment of these services increasingly. This is due to the IT sector’s continuing quest for optimized infrastructure, and the ability of solution builders to source application and infrastructure components from multiple providers to construct a hybrid cloud-based solution.

Key Market Trends

Government to Hold Significant Share

– Governments and large NGOs worldwide have been significantly spending their time and budget on pilot programs for various AI applications and investing in the same. Discussions with the experts in the field, on the future implications of the technology, have become routine.
– INTERPOL World 2019, conducted in Singapore, concluded that to understand how AI could help improve healthcare in developing nations, the National Defense University in Washington DC spoke with generals and colonels to arrive at the same.
– As of October 2019, Amazon Web Services has been training relevant government employees in India to create a cloud-first approach towards digital transformation and enhanced skill sets as a part of the initiatives by the Indian government to deploy AI and Machine Learning-driven Cloud models to make sense of the humongous sets of data.

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Christophe Rude

Christophe Rude

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