AI in cloud computing is the combination of artificial intelligence (AI) with cloud-based computing environments. The most ongoing initiative in this field is AI in edge computing, an advanced form of cloud computing. In addition, cloud artificial intelligence solutions process real-time data and enable the ability to respond fast in IoT-related activities. To provide 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 make use of AI capabilities. This allows businesses to get more value from their cloud investments and make better decisions based on real-time insights.
Moreover, the most compelling advantages of AI cloud are the challenges it resolves. It renders AI more accessible, by lowering adoption costs and facilitating co-creation and innovation, which is further expected to propel the global market growth. In addition, cloud AI assists in the automation of routine activities within IT infrastructure, which in turn increases productivity. These multiple beneficial factors are anticipated to create numerous opportunities for the growth of the global market.
In addition, advanced cloud artificial intelligence solutions help organizations rapidly make, operate, and innovate with AI to solve business issues. Cloud artificial intelligence systems may assist enterprises in increasing productivity and efficiency while lowering expenses. Moreover, it provides customers with greater ease and superior user experience. In addition, the increase in demand for seamless data accessibility in several businesses for handling vast amounts of data is another driver boosts the global market growth. Such enhanced factors are expected to provide lucrative opportunities for market growth during the forecast period. Such aforementioned factors are expected to provide lucrative opportunities for market growth during the forecast period. Such enhanced factors are expected to provide lucrative opportunities for market growth during the forecast period, which is anticipated to accelerate the market demand and hence, drive global market growth.
Also, the surge in trend of cloud artificial intelligence in organizations is one of the major factors driving the global market growth. Cloud artificial intelligence uses digital simulations of human mental processes to assess ambiguous circumstances and uncertainty. By combining this capability with AI and cloud computing, organizations may advance their operations. The major advancement in artificial intelligence (AI) is cloud computing, which has the potential to mimic human thought and improve decision-making in challenging circumstances. These numerous beneficial factors are expected to fuel the global market demand.
Furthermore, increase in availability of cloud-based AI services and the surge in usage of mobile devices are the factors driving the growth of global cloud artificial intelligence market. In addition, there is a surge in technological advancements, which in turn is expected to create numerous opportunities for the growth of the market. However, data privacy and security concerns and costs and budget constraints hamper the growth of the market. Furthermore, there is a rise in integration of industry 4.0, which creates opportunities for cloud artificial intelligence solutions to optimize business operations.
The cloud artificial intelligence market is segmented into component, technology, industry vertical, and region. On the basis of component, the market is classified into solutions and service. By technology, the market is divided into deep learning, machine learning (ML), natural language processing (NLP) and others. By industry vertical, the market is segregated into BFSI, retail & e-commerce, healthcare, automotive & transportation, government and defense and others are also provided in the report. In addition, it analyzes the current market trends across different regions such as North America, Europe, Asia-Pacific, and LAMEA.
The report highlights numerous factors that influence the growth of the global cloud artificial intelligence market. This report further outlines the current trends and key areas of investment. In addition, it includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder. The report features the strategies adopted by key market players to maintain their foothold in the market. Furthermore, it highlights the competitive landscape of the key market players to increase their market share and sustain intense competition in the industry. The key players operating in the market include Google LLC, Google LLC, Intel Corporation, Intel Corporation, NVIDIA Corporation, Apple Inc., Salesforce.com Inc., Amazon Web Services Inc., Infosys Limited and QlikTech International AB.
Moreover, the most compelling advantages of AI cloud are the challenges it resolves. It renders AI more accessible, by lowering adoption costs and facilitating co-creation and innovation, which is further expected to propel the global market growth. In addition, cloud AI assists in the automation of routine activities within IT infrastructure, which in turn increases productivity. These multiple beneficial factors are anticipated to create numerous opportunities for the growth of the global market.
In addition, advanced cloud artificial intelligence solutions help organizations rapidly make, operate, and innovate with AI to solve business issues. Cloud artificial intelligence systems may assist enterprises in increasing productivity and efficiency while lowering expenses. Moreover, it provides customers with greater ease and superior user experience. In addition, the increase in demand for seamless data accessibility in several businesses for handling vast amounts of data is another driver boosts the global market growth. Such enhanced factors are expected to provide lucrative opportunities for market growth during the forecast period. Such aforementioned factors are expected to provide lucrative opportunities for market growth during the forecast period. Such enhanced factors are expected to provide lucrative opportunities for market growth during the forecast period, which is anticipated to accelerate the market demand and hence, drive global market growth.
Also, the surge in trend of cloud artificial intelligence in organizations is one of the major factors driving the global market growth. Cloud artificial intelligence uses digital simulations of human mental processes to assess ambiguous circumstances and uncertainty. By combining this capability with AI and cloud computing, organizations may advance their operations. The major advancement in artificial intelligence (AI) is cloud computing, which has the potential to mimic human thought and improve decision-making in challenging circumstances. These numerous beneficial factors are expected to fuel the global market demand.
Furthermore, increase in availability of cloud-based AI services and the surge in usage of mobile devices are the factors driving the growth of global cloud artificial intelligence market. In addition, there is a surge in technological advancements, which in turn is expected to create numerous opportunities for the growth of the market. However, data privacy and security concerns and costs and budget constraints hamper the growth of the market. Furthermore, there is a rise in integration of industry 4.0, which creates opportunities for cloud artificial intelligence solutions to optimize business operations.
The cloud artificial intelligence market is segmented into component, technology, industry vertical, and region. On the basis of component, the market is classified into solutions and service. By technology, the market is divided into deep learning, machine learning (ML), natural language processing (NLP) and others. By industry vertical, the market is segregated into BFSI, retail & e-commerce, healthcare, automotive & transportation, government and defense and others are also provided in the report. In addition, it analyzes the current market trends across different regions such as North America, Europe, Asia-Pacific, and LAMEA.
The report highlights numerous factors that influence the growth of the global cloud artificial intelligence market. This report further outlines the current trends and key areas of investment. In addition, it includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder. The report features the strategies adopted by key market players to maintain their foothold in the market. Furthermore, it highlights the competitive landscape of the key market players to increase their market share and sustain intense competition in the industry. The key players operating in the market include Google LLC, Google LLC, Intel Corporation, Intel Corporation, NVIDIA Corporation, Apple Inc., Salesforce.com Inc., Amazon Web Services Inc., Infosys Limited and QlikTech International AB.
Key Benefits For Stakeholders
- The study provides an in-depth analysis of the cloud artificial intelligence market forecast along with the current and future trends to explain the imminent investment pockets.
- Information about key drivers, restraints, and opportunities and their impact analysis on cloud artificial intelligence market trends is provided in the report.
- The Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
- The quantitative analysis of the cloud artificial intelligence market from 2022 to 2032 is provided to determine the market potential.
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- Investment Opportunities
- Technology Trend Analysis
- Regulatory Guidelines
- Strategic Recommedations
- Expanded list for Company Profiles
- SWOT Analysis
Key Market Segments
By Component
- Solution
- Service
By Technology
- Deep Learning
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Others
By Industry Vertical
- IT and Telecommunication
- BFSI
- Retail and E-commerce
- Healthcare
- Automotive and Transportation
- Government and Defense
- Others
By Region
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
- Key Market Players
- Google LLC
- QlikTech International AB.
- IBM Corporation
- Apple Inc.
- NVIDIA Corporation
- Microsoft Corporation
- Salesforce Inc.,
- Amazon Web Services Inc.
- Infosys Limited
- Intel Corporation
Table of Contents
CHAPTER 1: INTRODUCTION
CHAPTER 2: EXECUTIVE SUMMARY
CHAPTER 3: MARKET OVERVIEW
CHAPTER 4: CLOUD ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT
CHAPTER 5: CLOUD ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY
CHAPTER 6: CLOUD ARTIFICIAL INTELLIGENCE MARKET, BY INDUSTRY VERTICAL
CHAPTER 7: CLOUD ARTIFICIAL INTELLIGENCE MARKET, BY REGION
CHAPTER 8: COMPETITIVE LANDSCAPE
CHAPTER 9: COMPANY PROFILES
List of Tables
List of Figures
Executive Summary
According to the report, the cloud artificial intelligence market was valued at $42.7 billion in 2022, and is estimated to reach $887 billion by 2032, growing at a CAGR of 35.8% from 2023 to 2032.The Cloud Artificial Intelligence Market is likely to experience a significant growth rate of 35.8% from 2023-2032, owing to the rise in market demand for cloud AI solutions in various enterprises
Cloud artificial intelligence (AI) is applied to describe any human-like activity performed by a program or machine to complete the referred task. Cloud AI solutions enable machines and systems that shrink or completely eliminate the conflicting sides of human interaction. Whenever properly designed and operating in accordance with a predetermined set of algorithms, AI is capable of solving issues with a level of precision that is unusual for humans.
Furthermore, advanced cloud artificial intelligence solutions help organizations rapidly make, operate, and innovate with AI to solve business issues. Cloud artificial intelligence systems may assist enterprises in increasing productivity and efficiency while lowering expenses. Moreover, it provides customers with greater ease and superior user experience. In addition, the increase in demand for seamless data accessibility in several businesses for handling vast amounts of data is another driver boosts the global market growth. Such enhanced factors are expected to provide lucrative opportunities for market growth during the forecast period. Such aforementioned factors are expected to provide lucrative opportunities for market growth during the forecast period. Such enhanced factors are expected to provide lucrative opportunities for market growth during the forecast period, which is anticipated to accelerate the market demand and hence, drive global market growth.
Moreover, the increase in availability of cloud-based AI services and the surge in usage of mobile devices are the factors driving the growth of global cloud artificial intelligence market. In addition, there is a surge in technological advancements, which in turn is expected to create numerous opportunities for the growth of the market. However, data privacy and security concerns and costs and budget constraints hamper the growth of the market. Furthermore, there is a rise in integration of industry 4.0, which creates opportunities for cloud artificial intelligence solutions to optimize business operations.
The cloud artificial intelligence market is segmented into component, technology, industry vertical, and region. On the basis of component, the market is classified into solutions and service. By technology, the market is divided into deep learning, machine learning (ML), natural language processing (NLP) and others. By industry vertical, the market is segregated into BFSI, retail & e-commerce, healthcare, automotive & transportation, government and defense and others are also provided in the report. In addition, it analyzes the current market trends across different regions such as North America, Europe, Asia-Pacific, and LAMEA.
The report highlights numerous factors that influence the growth of the global cloud artificial intelligence market. This report further outlines the current trends and key areas of investment. In addition, it includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder. The report features the strategies adopted by key market players to maintain their foothold in the market. Furthermore, it highlights the competitive landscape of the key market players to increase their market share and sustain intense competition in the industry. The key players operating in the market include Google LLC, Google LLC, Intel Corporation, Intel Corporation, NVIDIA Corporation, Apple Inc., Salesforce.com Inc., Amazon Web Services Inc., Infosys Limited and QlikTech International AB. For instance, in January 2023, Google Cloud launched four new and updated AI tools to provide customers with a smoother online shopping experience and assist retailers with in-store inventory management. In addition, in May 2023, Tata Consultancy Services (TCS) launched its new generative AI offering which leverages Google Cloud’s generative AI services, to design and deploy custom-tailored business solutions. Such trends highlight the need for cloud AI services in several sectors and contribute to driving the growth of global market.
Key Market Insights
By component, the solution segment dominated the global market share in 2022, and is estimated to reach 548621.49 million by 2032, with a CAGR of 34.4%, However, the cloud segment is expected to be the fastest growing segment with a CAGR of 38.3% during the forecast period.By technology, the deep learning segment was the highest revenue contributor to the market in 2022, and is estimated to reach $328.15 billion by 2032, with a CAGR of 41.3%. However, the others segment is estimated to be the fastest-growing segment with a CAGR of x% during the forecast period.
By industry vertical, the IT and telecommunication segment was the highest revenue contributor to the market in 2022, and is estimated to reach $147.30 billion by 2032, with a CAGR of 29.9%. However, the retail and e-commerce and life science segment is estimated to be the fastest-growing segment with a CAGR of 40.2% during the forecast period.
Region wise, North America was the highest revenue contributor, accounting for $15.75 billion in 2022 and is estimated to reach $221.84 billion by 2032, with a CAGR of 30.5%.
Companies Mentioned
- Google LLC
- QlikTech International AB.
- IBM Corporation
- Apple Inc.
- NVIDIA Corporation
- Microsoft Corporation
- Salesforce Inc.,
- Amazon Web Services Inc.
- Infosys Limited
- Intel Corporation
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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