Cloud AI Market is expected to grow with a CAGR of 39.6% from 2023 to 2030.

Cloud AI Market is expected to grow with a CAGR of 39.6% from 2023 to 2030.

An AI cloud is a shared infrastructure for AI use cases that supports a large number of ongoing projects and AI workloads concurrently on cloud infrastructure. In order to deliver AI software-as-a-service on hybrid cloud infrastructure, the AI cloud combines AI hardware and software (including open source). This gives businesses access to AI and enables them to take advantage of AI capabilities.

This report describes the global market size of Cloud AI Market from 2018 to 2021 and its CAGR from 2018 to 2021, and also forecasts its market size to the end of 2030 and its expected to grow with a CAGR of 39.6% from 2023 to 2030.

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Due to the COVID-19 pandemic and Russia-Ukraine War Influence, the global market for Cloud AI Market estimated at US $ million in the year 2022, is projected to reach a revised size of US$ million by 2030, growing at a CAGR of 39.6% during the forecast period 2023-2030. North American market for Cloud AI Market is estimated to increase from $million in 2022 to reach $ million by 2030, at a CAGR of % during the forecast period of 2023 through 2030.

For geography segment, regional supply, demand, major players, price is presented from 2018 to 2030. This report cover following regions:

North America

Asia-Pacific

Europe

Middle East and Africa

South America

The key countries for each regions are also included such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.

For competitor segment, the report include global key players of Cloud AI Market as well as some small players. The information for each competitor include:

Company Profile

Main Business Information

SWOT Analysis

Sales Volume, Revenue, Price and Gross Margin

Market Share

By Technology

Deep Learning

Machine Learning

Nature Language Processing

Others

In 2022, the deep learning category dominated the market with a 35% revenue share. Businesses are increasingly using voice assistants, chatbots, and other conversational interfaces. These interfaces are more user-friendly and efficient because to Natural Language Processing (NLP) technology, which enables them to comprehend and respond to input in natural language. Recent developments in deep learning have made it possible for NLP models to perform at a high level in tasks like sentiment analysis and language translation.

By Type

Solution

Services

In 2022, the solution segment dominated the market with a share of 64%. One of the main factors driving the market's growth is the rising accessibility of cloud-based AI services from key tech players like Amazon, Microsoft, and Google. These companies invest a lot of money in building cloud AI platforms and offering them as a service to businesses of all sizes, making it easier for organisations to access and employ AI solutions without having to spend a lot of money on infrastructure and hiring staff. The demand for cloud AI solutions is expected to rise as companies increasingly use the potential of AI and machine learning to promote innovation and growth.

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By Vertical

Healthcare

Retail

BFSI

IT & Telecommunication

Government

Manufacturing

Automotive & Transportation

Others

In 2022, the sector was dominated by the IT & telecommunications category, which accounted for almost 19% of total revenue. The usage of cloud AI in government organisations is driven by the platform's incredible capabilities, which let these organisations scale out large-scale tasks like data mining and directly address public problems. Additionally, the initial obstacles to embracing cloud computing because of worries about data privacy are being overcome. The application of cloud AI has expanded recently thanks to the growth and adoption of the cloud, AI, and many other technologies. The competition between Microsoft Azure, Amazon Web Services, and Google Cloud Platform has allowed a number of governmental organisations to set up enormous server clusters, implement Hadoop and data lakes, and hire a large number of data scientists.

By Region

North America

APAC

Europe

South America

Middle East & Africa

The region with the biggest revenue share in 202232.4%was North America. Leading companies like Apple Inc., Google Inc., IBM Corp., Intel Corp., and Microsoft Corp. are present in the region. Businesses across a variety of industries that are early adopters of AI and machine learning technology are responsible for the region's high growth. It encompasses sectors adopting AI to boost operational effectiveness, cut costs, and spur innovation, such as healthcare, banking, and retail. The workforce in North America is both sizable and highly skilled, making it capable of creating and implementing AI solutions. North American colleges and research institutions are at the vanguard of AI research and development, churning out a constant flow of smart people who drive commercial innovation.

By Company

Apple Inc.

Google, Inc.

IBM Corp.

Intel Corp.

Microsoft Corp.

MicroStrategy, Inc

NVIDIA Corp.

Oracle Corp.

Qlik Technologies, Inc.

Salesforce com Inc.

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