Cloud Artificial Intelligence (AI) Market Size
| Study Period | 2019 - 2029 |
| Market Size (2024) | USD 67.56 Billion |
| Market Size (2029) | USD 274.54 Billion |
| CAGR (2024 - 2029) | 32.37 % |
| Fastest Growing Market | North America |
| Largest Market | North America |
| Market Concentration | Low |
Major Players
*Disclaimer: Major Players sorted in no particular order |
Cloud Artificial Intelligence (AI) Market Analysis
The Cloud AI Market size is estimated at USD 67.56 billion in 2024, and is expected to reach USD 274.54 billion by 2029, growing at a CAGR of 32.37% during the forecast period (2024-2029).
The COVID-19 pandemic caused several organizations to accelerate their migrations to public cloud solutions since cloud service elasticity could meet unexpected spikes in service demand. Migrations to the cloud considerably helped companies reinvent how they conduct their businesses during COVID-19. The requirement for AI services has grown, and many cloud providers offer AI services. As a result, the cloud market recorded more growth significantly in the healthcare segment last year. Cloud AI technology was being used considerably to fight COVID-19.
- With the growing number of enterprises and competition among them, companies are rigorously trying to integrate artificial intelligence (AI) technology with their application, analytics, business, and services. Moreover, companies are engaged in reducing their operational costs to ascend profit margins, owing to which artificial over the cloud is becoming popular, which is, in turn, expected to fuel the market growth over the forecast period.
- The rising trend of multi-cloud functioning and the growing need for cloud-based intelligence services also increase the demand for AI cloud solutions. According to IBM, 98% of the organization's plan will adopt multi-cloud architectures by last year. Only 41% have a multi-cloud management strategy, and just 38% have procedures and tools to operate a multi-cloud environment. This is poised to create a massive opportunity for cloud AI services.
- The driving factors in the studied market include rising big data volume, increasing demand for virtual assistants, and growing adoption of cloud-based services and applications.
- According to Cisco Systems Inc, the volume of big data is poised to increase from 51 exabytes in 2016 to 403 exabytes in the last year, representing a growth rate of almost seven times. The volume is expected to increase gradually in the forecast period, increasing the impact of the driver in the forecast period as companies tend to adopt cloud AI solutions to arrive at insights from such data.
- The market for cloud computing platforms has benefited from the pandemic. Using cloud technologies has made it easier to do internet business as the economy slowly revives. The cloud is hastening the deployment of full-scale AI, which hastens the adoption of and spending on Cloud-AI.
Cloud Artificial Intelligence (AI) Market Trends
This section covers the major market trends shaping the Cloud AI Market according to our research experts:
Growing Adoption of Cloud-based Service and Application
- The adoption of cloud AI in government agencies is driven by the enormous capabilities of the platform, which allows government bodies to scale massive jobs, including data mining, and can directly impact public challenges. Furthermore, the initial inhibitions for data privacy reasons to adopt cloud computing are being overcome and are expected to gain further traction.
- The deployment of cloud AI has matured in recent years with the emergence and steady acceptance of the cloud, artificial intelligence (AI), the Internet of Things (IoT), blockchain, and other new technologies. Several government agencies have leveraged the competition between three cloud service providers, Microsoft Azure, Amazon Web Services, and Google Cloud Platform, to provision large clusters of servers, implement Hadoop and data lakes and employ hundreds of data scientists.
- The exhaustive participation of companies has increased the awareness amongst governments across the world regarding the development of the cloud from being a location to store data to a set of capabilities in all of an organization's environments that can reduce costs and deliver innovation and flexibility.
- Companies like IBM have worked closely with agencies at various levels of government to advance the application of cloud, AI, blockchain, and other new technologies. IBM also introduced the Government Cloud Virtual Summit, where various government leaders addressed how cloud AI services can help respond to natural disasters and improve public safety after a cybersecurity breach.
- Machine learning models are trained, hosted, and used to make predictions and provide insights on cloud AI platforms like Google Cloud and AWS. Cloud computing can make wise decisions on its own if AI is implemented in it. The Google Cloud Platform (GCP), which encompasses infrastructure, data and analytics, and other services, is the main revenue source for Alphabet's Cloud business. Last year, Google Cloud had USD 19 billion as income which represents 7.5% of Google's overall earnings.
North America Holds Major Share
- North America is expected to dominate the global cloud AI market, owing to its status as one of the early adopters of the technology. The other factor is that most of the major players in the market are US-based. Cloud adoption among the regional end-user is also quite high. Hence, the investment in the studied market is too high. The region is also a key region dominating the global hybrid cloud and IaaS market.
- Market players operating in the region are investing in innovating additional and unique features to their offerings, mainly to gain a competitive advantage and expand their customer target base. This is also expected to bring advancement in the regional and global markets. This factor expands the market scope further.
- For instance, US-based SoundHound Inc. offers Houndify, an independent AI platform that enables developers and business owners to deploy a conversational interface anywhere to retain control of their brand and users while differentiating and innovating. The company recently added SoundHound music recognition technology to its Houndify voice AI platform. It also strategically partnered with Honda Motor Co. Ltd to accelerate development.
- As regional organizations increasingly migrate their processes and applications to the cloud, vendors operating in the market may have to offer next-level customer experience (CX), performance, and productivity to gain a competitive edge. Companies add intelligence to the available data by using a broadened set of analytics tools that incorporate technologies such as AI, machine learning (ML), augmented reality (AR), and big data.
- Also, the Government of Canada has a "cloud-first" strategy, whereby cloud services are identified and evaluated as the principal delivery option when initiating information technology investments, initiatives, strategies, and projects. The cloud is also expected to allow the Government of Canada to harness private-sector providers' innovation to make its information technology more agile.
- Cloud vendors are further strengthening the demand for AI by offering a number of services and tools that make it easier to develop, test, enhance, and operate AI systems without big upfront investments. These include hardware optimized for machine learning, APIs that automate speech recognition and text analysis, productivity-boosting automated machine learning modeling systems, and AI development workflow platforms.
Cloud Artificial Intelligence (AI) Industry Overview
The high market consolidation has increased the competition among prominent players such as Microsoft, IBM, Google, Amazon, etc. The other players are actively expanding their product portfolio and geographical presence to capture a significant market share. The players operating in this market are investing hugely in artificial intelligence-related technologies and innovating their products, leading them to gain a sustainable competitive advantage. Due to this, there is always high competition between players to innovate and introduce new products.
In October 2022, at Oracle CloudWorld, Nvidia and Oracle announced an expanded, multiyear agreement to support clients' accelerated adoption of artificial intelligence (AI). Through the partnership, Nvidia's entire accelerated computing stack will be made available to Oracle Cloud Infrastructure (OCI), including GPUs, systems, and software.
Cloud Artificial Intelligence (AI) Market Leaders
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Amazon Web Services Inc.
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Microsoft Corporation
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Google LLC
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IBM Corporation
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Intel Corporation
*Disclaimer: Major Players sorted in no particular order
Cloud Artificial Intelligence (AI) Market News
- November 2022 - ToGL Technology Sdn Bhd and Huawei Technologies (Malaysia) Sdn Bhd have formalized their collaboration to create cloud-based digital solutions in Malaysia. Modern cloud and artificial intelligence (AI) services and experiences are a part of the cooperation,
- November 2022 - The AssetCare platform of the company will be combined with the strength and reach of Google Cloud as well as extra services like Google Earth Engine to launch three AI-powered sustainability applications, according to mCloud Technologies Corp., a leading provider of AI-powered asset management and Environmental, Social, and Governance solutions, which recently announced it had entered into a strategic partnership with Google Cloud.
Cloud Artificial Intelligence (AI) Market Report - Table of Contents
1. INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET INSIGHTS
4.1 Market Overview
4.2 Industry Attractiveness - 'Porter's Five Forces Analysis'
4.2.1 Bargaining Power of Suppliers
4.2.2 Bargaining Power of Buyers
4.2.3 Threat of New Entrants
4.2.4 Threat of Substitutes
4.2.5 Intensity of Competitive Rivalry
4.3 Industry Value Chain Analysis
4.4 Technology Snapshot
4.4.1 Machine Learning
4.4.2 Natural Language Processing (NLP)
5. MARKET DYNAMICS
5.1 Market Drivers
5.1.1 Rising Big Data Volume
5.1.2 Increasing Demand for Virtual Assistants
5.1.3 Growing Adoption of Cloud-based Service and Application
5.2 Market Challenges
5.2.1 Lack of Skilled Workforce and Data Security Concerns
5.3 Assessment of COVID-19
6. MARKET SEGMENTATION
6.1 By Type
6.1.1 Solution
6.1.2 Service
6.2 By End-user Vertical
6.2.1 BFSI
6.2.2 Healthcare
6.2.3 Automotive
6.2.4 Retail
6.2.5 Government
6.2.6 Education
6.2.7 Other End-user Vertical
6.3 Geography
6.3.1 North America
6.3.2 Europe
6.3.3 Asia-Pacific
6.3.4 Latin America
6.3.5 Middle East and Africa
7. COMPETITIVE LANDSCAPE
7.1 Company Profiles
7.1.1 Amazon Web Services Inc.
7.1.2 Microsoft Corporation
7.1.3 Google LLC
7.1.4 IBM Corporation
7.1.5 Infosys Limited
7.1.6 Wipro Limited
7.1.7 Cloudminds Technology
7.1.8 AIBrain LLC
7.1.9 Salesforce.com Inc.
7.1.10 SoundHound Inc.
7.1.11 Twilio, Inc.
7.1.12 Visenze Pte Ltd
- *List Not Exhaustive
8. INVESTMENT ANALYSIS
9. FUTURE OF THE MARKET
Cloud Artificial Intelligence (AI) Industry Segmentation
An AI cloud comprises a shared infrastructure for AI use cases, simultaneously supporting several projects and AI workloads. The AI cloud pools various hardware and software resources to deliver AI software-as-a-service (SaaS) on cloud infrastructure, providing enterprises access to key AI capabilities. As such, the study tracks revenues accrued from off-the-shelf AI tools that are offered through cloud technologies. The study also considers revenues accrued from training, consulting, and system integration services for Cloud AI.
The study is segmented by type (Solution, Services), end-user industry (BFSI, Healthcare, Automotive, Retail, Government, and Education, among others), and geography (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa).
The market sizes and forecasts are provided regarding value (USD billion) for all the above segments.
| By Type | |
| Solution | |
| Service |
| By End-user Vertical | |
| BFSI | |
| Healthcare | |
| Automotive | |
| Retail | |
| Government | |
| Education | |
| Other End-user Vertical |
| Geography | |
| North America | |
| Europe | |
| Asia-Pacific | |
| Latin America | |
| Middle East and Africa |
Cloud Artificial Intelligence (AI) Market Research FAQs
How big is the Cloud AI Market?
The Cloud AI Market size is expected to reach USD 67.56 billion in 2024 and grow at a CAGR of 32.37% to reach USD 274.54 billion by 2029.
What is the current Cloud AI Market size?
In 2024, the Cloud AI Market size is expected to reach USD 67.56 billion.
Who are the key players in Cloud AI Market?
Amazon Web Services Inc., Microsoft Corporation, Google LLC, IBM Corporation and Intel Corporation are the major companies operating in the Cloud AI Market.
Which is the fastest growing region in Cloud AI Market?
North America is estimated to grow at the highest CAGR over the forecast period (2024-2029).
Which region has the biggest share in Cloud AI Market?
In 2024, the North America accounts for the largest market share in Cloud AI Market.
What years does this Cloud AI Market cover, and what was the market size in 2023?
In 2023, the Cloud AI Market size was estimated at USD 51.04 billion. The report covers the Cloud AI Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the Cloud AI Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029.
What drives the growth of the Cloud AI Market?
Key factors driving the Growth of global Cloud AI Market include a) Increasing demand for AI-powered services b) Advancements in machine learning and cognitive technologies c) Growing volume of big data d) Need for scalable computing power and storage
Cloud AI Industry Report
The global cloud artificial intelligence (AI) solutions market is witnessing remarkable growth, propelled by the widespread adoption of AI and machine learning across diverse sectors. This boom is fueled by the integration of cloud computing with AI algorithms, enabling businesses to achieve improved processing speeds, efficiency, and cost savings. Major technology providers are offering cloud-based AI services, making it easier for organizations to adopt AI solutions without heavy infrastructure investments. The demand for these solutions is soaring as companies aim to harness AI for innovation and competitive edge, with a notable shift towards hybrid cloud environments and an increase in mobile and 5G technologies boosting cloud computing and traffic.
Cloud AI companies are innovating with advanced generative AI and intelligent automation to meet scalability needs and cater to sectors like finance, healthcare, retail, and IT & telecommunications. This trend underscores a strategic move towards digital transformation, positioning cloud AI as a key driver in enhancing operational efficiencies and propelling the digital economy. The market size and forecasts are provided in terms of value for all the segments, including type and end-user verticals.
The industry trends indicate a significant market growth, supported by comprehensive market analysis and market data. The market forecast highlights the future potential and market growth, while the market report offers in-depth market research and insights into market share and market size. The growth rate of the industry is notable, with industry analysis and industry information providing a clear industry outlook. Industry reports and industry research detail the industry sales, industry size, and industry statistics, emphasizing the importance of industry trends.
The market data and market forecast are crucial for understanding the market growth, with market leaders driving innovation and market outlook providing a clear market overview. Market predictions and market review offer insights into market segmentation and market value, supported by a report example and report pdf. Research companies play a pivotal role in providing detailed industry analysis and market insights, ensuring a comprehensive understanding of the market dynamics.
