Abstract
Summary
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.
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
1 INTRODUCTION
1.1 Report description
1.2 Key market segments
1.3 Key benefits to the stakeholders
1.4 Research methodology
1.4.1 Primary research
1.4.2 Secondary research
1.4.3 Analyst tools and models
2 EXECUTIVE SUMMARY
2.1 CXO Perspective
3 MARKET OVERVIEW
3.1 Market definition and scope
3.2 Key findings
3.2.1 Top impacting factors
3.2.2 Top investment pockets
3.3 Porter’s five forces analysis
3.3.1 Moderate-to-high bargaining power of suppliers
3.3.2 Low-to-high threat of new entrants
3.3.3 Low threat of substitutes
3.3.4 Low-to-high intensity of rivalry
3.3.5 Modearate bargaining power of buyers
3.4 Market dynamics
3.4.1 Drivers
- 3.4.1.1 Increase in availability of cloud-based AI services
- 3.4.1.2 Surge in usage of mobile devices
- 3.4.1.3 Surge in technological advancements
3.4.2 Restraints
- 3.4.2.1 Data privacy and security concerns
- 3.4.2.2 Costs and budget constraints
3.4.3 Opportunities
- 3.4.3.1 Rise in integration of industry 4.0
3.5 Key Regulation Analysis
4 CLOUD ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT
4.1 Overview
4.1.1 Market size and forecast
4.2 Solution
4.2.1 Key market trends, growth factors and opportunities
4.2.2 Market size and forecast, by region
4.2.3 Market share analysis by country
4.3 Service
4.3.1 Key market trends, growth factors and opportunities
4.3.2 Market size and forecast, by region
4.3.3 Market share analysis by country
5 CLOUD ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY
5.1 Overview
5.1.1 Market size and forecast
5.2 Deep Learning
5.2.1 Key market trends, growth factors and opportunities
5.2.2 Market size and forecast, by region
5.2.3 Market share analysis by country
5.3 Machine Learning (ML)
5.3.1 Key market trends, growth factors and opportunities
5.3.2 Market size and forecast, by region
5.3.3 Market share analysis by country
5.4 Natural Language Processing (NLP)
5.4.1 Key market trends, growth factors and opportunities
5.4.2 Market size and forecast, by region
5.4.3 Market share analysis by country
5.5 Others
5.5.1 Key market trends, growth factors and opportunities
5.5.2 Market size and forecast, by region
5.5.3 Market share analysis by country
6 CLOUD ARTIFICIAL INTELLIGENCE MARKET, BY INDUSTRY VERTICAL
6.1 Overview
6.1.1 Market size and forecast
6.2 IT and Telecommunication
6.2.1 Key market trends, growth factors and opportunities
6.2.2 Market size and forecast, by region
6.2.3 Market share analysis by country
6.3 BFSI
6.3.1 Key market trends, growth factors and opportunities
6.3.2 Market size and forecast, by region
6.3.3 Market share analysis by country
6.4 Retail and E-commerce
6.4.1 Key market trends, growth factors and opportunities
6.4.2 Market size and forecast, by region
6.4.3 Market share analysis by country
6.5 Healthcare
6.5.1 Key market trends, growth factors and opportunities
6.5.2 Market size and forecast, by region
6.5.3 Market share analysis by country
6.6 Automotive and Transportation
6.6.1 Key market trends, growth factors and opportunities
6.6.2 Market size and forecast, by region
6.6.3 Market share analysis by country
6.7 Government and Defense
6.7.1 Key market trends, growth factors and opportunities
6.7.2 Market size and forecast, by region
6.7.3 Market share analysis by country
6.8 Others
6.8.1 Key market trends, growth factors and opportunities
6.8.2 Market size and forecast, by region
6.8.3 Market share analysis by country
7 CLOUD ARTIFICIAL INTELLIGENCE MARKET, BY REGION
7.1 Overview
7.1.1 Market size and forecast By Region
7.2 North America
7.2.1 Key market trends, growth factors and opportunities
7.2.2 Market size and forecast, by Component
7.2.3 Market size and forecast, by Technology
7.2.4 Market size and forecast, by Industry Vertical
7.2.5 Market size and forecast, by country
- 7.2.5.1 U.S
- 7.2.5.1.1 Market size and forecast, by Component
- 7.2.5.1.2 Market size and forecast, by Technology
- 7.2.5.1.3 Market size and forecast, by Industry Vertical
- 7.2.5.2 Canada
- 7.2.5.2.1 Market size and forecast, by Component
- 7.2.5.2.2 Market size and forecast, by Technology
- 7.2.5.2.3 Market size and forecast, by Industry Vertical
- 7.2.5.1 U.S
7.3 Europe
7.3.1 Key market trends, growth factors and opportunities
7.3.2 Market size and forecast, by Component
7.3.3 Market size and forecast, by Technology
7.3.4 Market size and forecast, by Industry Vertical
7.3.5 Market size and forecast, by country
- 7.3.5.1 UK
- 7.3.5.1.1 Market size and forecast, by Component
- 7.3.5.1.2 Market size and forecast, by Technology
- 7.3.5.1.3 Market size and forecast, by Industry Vertical
- 7.3.5.2 Germany
- 7.3.5.2.1 Market size and forecast, by Component
- 7.3.5.2.2 Market size and forecast, by Technology
- 7.3.5.2.3 Market size and forecast, by Industry Vertical
- 7.3.5.3 France
- 7.3.5.3.1 Market size and forecast, by Component
- 7.3.5.3.2 Market size and forecast, by Technology
- 7.3.5.3.3 Market size and forecast, by Industry Vertical
- 7.3.5.4 Italy
- 7.3.5.4.1 Market size and forecast, by Component
- 7.3.5.4.2 Market size and forecast, by Technology
- 7.3.5.4.3 Market size and forecast, by Industry Vertical
- 7.3.5.5 Spain
- 7.3.5.5.1 Market size and forecast, by Component
- 7.3.5.5.2 Market size and forecast, by Technology
- 7.3.5.5.3 Market size and forecast, by Industry Vertical
- 7.3.5.6 Rest of Europe
- 7.3.5.6.1 Market size and forecast, by Component
- 7.3.5.6.2 Market size and forecast, by Technology
- 7.3.5.6.3 Market size and forecast, by Industry Vertical
- 7.3.5.1 UK
7.4 Asia-Pacific
7.4.1 Key market trends, growth factors and opportunities
7.4.2 Market size and forecast, by Component
7.4.3 Market size and forecast, by Technology
7.4.4 Market size and forecast, by Industry Vertical
7.4.5 Market size and forecast, by country
- 7.4.5.1 China
- 7.4.5.1.1 Market size and forecast, by Component
- 7.4.5.1.2 Market size and forecast, by Technology
- 7.4.5.1.3 Market size and forecast, by Industry Vertical
- 7.4.5.2 Japan
- 7.4.5.2.1 Market size and forecast, by Component
- 7.4.5.2.2 Market size and forecast, by Technology
- 7.4.5.2.3 Market size and forecast, by Industry Vertical
- 7.4.5.3 India
- 7.4.5.3.1 Market size and forecast, by Component
- 7.4.5.3.2 Market size and forecast, by Technology
- 7.4.5.3.3 Market size and forecast, by Industry Vertical
- 7.4.5.4 Australia
- 7.4.5.4.1 Market size and forecast, by Component
- 7.4.5.4.2 Market size and forecast, by Technology
- 7.4.5.4.3 Market size and forecast, by Industry Vertical
- 7.4.5.5 South Korea
- 7.4.5.5.1 Market size and forecast, by Component
- 7.4.5.5.2 Market size and forecast, by Technology
- 7.4.5.5.3 Market size and forecast, by Industry Vertical
- 7.4.5.6 Rest of Asia-Pacific
- 7.4.5.6.1 Market size and forecast, by Component
- 7.4.5.6.2 Market size and forecast, by Technology
- 7.4.5.6.3 Market size and forecast, by Industry Vertical
- 7.4.5.1 China
7.5 LAMEA
7.5.1 Key market trends, growth factors and opportunities
7.5.2 Market size and forecast, by Component
7.5.3 Market size and forecast, by Technology
7.5.4 Market size and forecast, by Industry Vertical
7.5.5 Market size and forecast, by country
- 7.5.5.1 Latin America
- 7.5.5.1.1 Market size and forecast, by Component
- 7.5.5.1.2 Market size and forecast, by Technology
- 7.5.5.1.3 Market size and forecast, by Industry Vertical
- 7.5.5.2 Middle East
- 7.5.5.2.1 Market size and forecast, by Component
- 7.5.5.2.2 Market size and forecast, by Technology
- 7.5.5.2.3 Market size and forecast, by Industry Vertical
- 7.5.5.3 Africa
- 7.5.5.3.1 Market size and forecast, by Component
- 7.5.5.3.2 Market size and forecast, by Technology
- 7.5.5.3.3 Market size and forecast, by Industry Vertical
- 7.5.5.1 Latin America
8 COMPETITIVE LANDSCAPE
8.1 Introduction
8.2 Top winning strategies
8.3 Product mapping of top 10 player
8.4 Competitive dashboard
8.5 Competitive heatmap
8.6 Top player positioning, 2022
9 COMPANY PROFILES
9.1 Apple Inc
9.1.1 Company overview
9.1.2 Key executives
9.1.3 Company snapshot
9.1.4 Operating business segments
9.1.5 Product portfolio
9.1.6 Business performance
9.1.7 Key strategic moves and developments
9.2 Google LLC
9.2.1 Company overview
9.2.2 Key executives
9.2.3 Company snapshot
9.2.4 Operating business segments
9.2.5 Product portfolio
9.2.6 Business performance
9.2.7 Key strategic moves and developments
9.3 IBM Corporation
9.3.1 Company overview
9.3.2 Key executives
9.3.3 Company snapshot
9.3.4 Operating business segments
9.3.5 Product portfolio
9.3.6 Business performance
9.3.7 Key strategic moves and developments
9.4 Intel Corporation
9.4.1 Company overview
9.4.2 Key executives
9.4.3 Company snapshot
9.4.4 Operating business segments
9.4.5 Product portfolio
9.4.6 Business performance
9.4.7 Key strategic moves and developments
9.5 Microsoft Corporation
9.5.1 Company overview
9.5.2 Key executives
9.5.3 Company snapshot
9.5.4 Operating business segments
9.5.5 Product portfolio
9.5.6 Business performance
9.5.7 Key strategic moves and developments
9.6 NVIDIA Corporation
9.6.1 Company overview
9.6.2 Key executives
9.6.3 Company snapshot
9.6.4 Operating business segments
9.6.5 Product portfolio
9.6.6 Business performance
9.6.7 Key strategic moves and developments
9.7 Salesforce Inc
9.7.1 Company overview
9.7.2 Key executives
9.7.3 Company snapshot
9.7.4 Operating business segments
9.7.5 Product portfolio
9.7.6 Business performance
9.7.7 Key strategic moves and developments
9.8 Amazon Web Services Inc
9.8.1 Company overview
9.8.2 Key executives
9.8.3 Company snapshot
9.8.4 Operating business segments
9.8.5 Product portfolio
9.8.6 Business performance
9.8.7 Key strategic moves and developments
9.9 Infosys Limited
9.9.1 Company overview
9.9.2 Key executives
9.9.3 Company snapshot
9.9.4 Operating business segments
9.9.5 Product portfolio
9.9.6 Business performance
9.9.7 Key strategic moves and developments
9.10 QlikTech International AB
9.10.1 Company overview
9.10.2 Key executives
9.10.3 Company snapshot
9.10.4 Operating business segments
9.10.5 Product portfolio
9.10.6 Key strategic moves and developments