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Cloud AI Market

Report Code TC 9251
Published in Dec, 2024, By MarketsandMarkets™
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Cloud AI Market by Cloud AI Infrastructure (Compute, Storage, Network), AI & ML Platforms (Auto ML), MLOps and Lifecycle Management (AI Workflow Orchestration), AIaaS, Technology (Generative AI and Other AI) - Global Forecast to 2029

 

Overview

The global cloud AI market is estimated to grow from USD 80.30 billion in 2024 to USD 327.15 billion by 2029 at a CAGR of 32.4 % from 2024 to 2029. The Cloud AI market marks a transformative integration of cloud computing and artificial intelligence (AI), enabling businesses to access powerful AI tools and infrastructure. Combining the scalability of cloud computing with AI's analytical and automation capabilities, organizations deploy machine learning (ML), natural language processing (NLP), computer vision, and other functionalities with minimal in-house resources. This integration enables enterprises to incorporate advanced AI into their operations effortlessly, driving innovation and streamlining workflows on a wide scale. Cloud AI boosts operational efficiency, such as in order processing, by automating routine tasks and enabling real-time decision-making. Organizations can enhance inventory management and order-tracking workflows by integrating AI with cloud platforms. By adopting Cloud AI, Cloud AI infrastructure provides scalable computing power, secure data storage, and seamless integration with enterprise applications, allowing systems to process large volumes of unstructured data quickly. Cloud AI reduces errors by ensuring consistent performance during peak demand, helping businesses optimize operations and improve customer satisfaction. This factor is expected to drive demand for Cloud AI in the end users, such as banking, healthcare, and e-commerce.

Cloud AI Market

Attractive Opportunities in the Cloud AI Market

ASIA PACIFIC

Asia Pacific is projected to grow at the highest CAGR during the forecast period. North America is estimated to account for the largest market share in 2024

The surge in cloud adoption and the growing need for intelligent automation are driving the Cloud AI market, as businesses seek to leverage AI capabilities to enhance operational workflows and scalability.

Acquisitions and new product launches featuring advanced AI-driven analytics, real-time language processing, and automated scalability are expected to generate significant opportunities for market players in the Cloud AI sector in the coming years.

The increasing adoption of AI-driven applications and the demand for scalable, real-time data processing have accelerated the growth of the Cloud AI market

The global demand for Cloud AI is driven by the need for advanced data analytics, seamless automation, enhanced cybersecurity, and scalable solutions, enabling organizations to innovate and focus on strategic growth.

Impact of AI on Cloud AI Market

ENHANCED CLOUD SERVICES

Generative AI elevates cloud services by enabling more intelligent, adaptive applications, boosting service quality, and providing businesses with powerful tools for customization and advanced analytics.

AUTOMATED DATA PROCESSING

Utilizes generative AI to streamline data processing, automating complex analyses for faster, more accurate insights, improving operational efficiency and reducing time spent on manual data management.

AI-DRIVEN CYBERSECURITY

Generative AI bolsters cybersecurity by detecting threats in real-time, learning from data patterns, and autonomously responding to anomalies to prevent security breaches and safeguard cloud environments.

REAL-TIME LANGUAGE SUPPORT

Enables cloud-based AI to deliver instant language translation and support, enhancing global communication by providing seamless, real-time multilingual assistance in customer service and enterprise settings.

FASTER INNOVATION CYCLES

Accelerates product and service development with AI-automated coding and testing, reducing time-to-market, and allowing businesses to iterate rapidly based on real-time customer feedback.

SCALABLE AI MODELS

Generative AI enables cloud providers to scale AI models efficiently, adapting to variable workloads and maintaining optimal performance during peak usage or growth phases.

Cloud AI Market Impact

Global Cloud AI Market Dynamics

Driver: Increasing advancements in Gen AI and intelligent automation to drive market growth

Advancements in Gen AI and intelligent automation are significantly driving the growth of the cloud AI market. Gen AI algorithms create new content, patterns, and solutions by analyzing and learning from enormous amounts of data, transforming businesses such as healthcare, banking, retail, and manufacturing by increasing creativity and innovation. For example, in healthcare, Gen AI creates personalized treatment plans by analyzing patient data and medical research, improving patient outcomes. As businesses increasingly automate complex tasks using Gen AI, the demand for cloud-based AI services rises because these services provide the necessary infrastructure and scalability to handle large datasets and perform complex computations. Gen AI enables enterprises to use powerful machine learning models and algorithms to evaluate real-time data, enhance accuracy, and offer insights more quickly.

Furthermore, intelligent automation, enabled by AI and machine learning, transforms company operations by speeding workflows and boosting decision-making processes. This is accomplished by automating regular processes like data input and report production, allowing the workforce to focus on more critical tasks. Cloud AI services provide real-time data processing and predictive analytics, enabling businesses to provide tailored customer experiences.

Restraint: Data privacy and security concerns

As more businesses move sensitive data to the cloud, there are growing concerns about cyber threats, illegal access, and meeting compliance with regulatory bodies such as GDPR (General Data Protection Regulation) and CCPA(California Consumer Privacy Act), making strong security critical for securing the vast amounts of private and personal data that AI systems process. These measures protect against cyber threats and ensure compliance with regulations.

However, many businesses hesitate to adopt cloud-based AI solutions because they have concerns about data ownership, encryption practices, and the potential misuse of AI-generated insights. Businesses also deal with complicated legal requirements to avoid penalties and protect user data, especially in regulated verticals such as healthcare, finance, and government. Even after adopting Cloud AI, businesses often struggle to fully secure data from cyberattacks. Increased attack surfaces, AI algorithm vulnerabilities, misconfigurations, human error, and insufficient security measures are vital factors restraining companies from adopting Cloud AI.

 

Opportunity: Integration with emerging technologies

Incorporating cloud AI with new technologies represents a substantial opportunity for growth in the cloud AI market. As technologies such as the Internet of Things (IoT), blockchain, and 5G continue to evolve, massive volumes of data are generated. This increases demand for AI-driven solutions. Cloud AI is essential because it allows for fast data processing and accurate forecasting by providing the computing power needed to quickly analyze large amounts of data. This capability is crucial for IoT applications such as smart cities, driverless cars, and industrial automation, where rapid, data-driven choices are required to manage systems effectively and respond to changes quickly. AI combined with blockchain strengthens data security and transparency by creating secure, tamper-proof records instrumental in sensitive sectors like finance and healthcare. At the same time, 5G's faster speeds enable AI to process data in real time and handle significant amounts of information, making these applications more efficient and scalable.

Challenge: High Costs of AI Implementation

High costs make adopting AI in the cloud tough for small and medium-sized enterprises (SMEs). While using cloud-based AI reduces the need for physical infrastructure, businesses still incur significant expenses for advanced software, powerful computing resources, data storage, and hiring skilled workers like data scientists and AI experts.

Ongoing expenditures such as subscription fees, model training, and maintenance increase SMEs financial challenges. Additionally, the complexity of AI projects and the need for specialized skills and resources make implementation even more difficult for cost-sensitive enterprise businesses. Many companies are concerned about seeing a good return on investment (ROI) from their AI efforts, making them reluctant to spend much money. This hesitation is extreme in industries where budgets are a significant constraint, causing a careful approach to adopting cloud-based AI solutions. Additionally, without enough financial backing or access to funding, SMEs struggle to compete with larger companies that can afford to invest in extensive AI strategies.

Global Cloud AI Market Ecosystem Analysis

The Cloud AI ecosystem consists of many vital components that work together to facilitate the deployment and upgrading of AI solutions. Cloud providers provide the necessary infrastructure at the core of AI operations. Next to them are AI platforms and business application providers, which provide tools for designing, implementing, and improving AI models across many sectors. AI service providers deliver customized solutions that fulfill the needs of individual businesses. Data providers supply high-quality datasets, which are required for training AI models. Finally, regulatory agencies develop rules and standards to guarantee that AI technology is utilized safely, ethically, and following applicable legislation.

Top Companies in Cloud AI Market

Source: MarketsandMarkets Analysis
© 2009 - 2024 MarketsandMarkets Research Private Ltd. All rights reserved

 

Based on the hosting type, the managed hosting segment is expected to dominate the market during the forecast period.

Managed hosting is becoming significant in the Cloud AI market as more businesses seek to adopt AI without the complexity of managing the underlying infrastructure. In this system, service providers take responsibility for everything from infrastructure setup and maintenance to security and performance optimization. This lets companies focus on deploying AI applications and driving innovation without getting caught up in technical details.

For instance, H2O.ai offers a fully managed cloud service that allows customers to create a secure, customized environment with minimal setup. This managed hosting also provides high availability by strategically positioned data centers in various places. Each data center operates independently, with a separate power supply, network, and disaster recovery plans to guard against interruptions such as natural calamities or regional outages.

To secure client data, managed hosting security utilizes a multi-layered strategy. Each client gets their dedicated environment, which keeps their data inside a specified zone and ensures encryption during storage and transit. Zero-trust access, two-factor authentication, and continuous monitoring are extra safety measures that help adhere to stringent security requirements.

Based on the technology type, the generative AI segment is expected to have the highest CAGR growth rate during the forecast period.

Generative AI in the Cloud AI market transforms business operations by offering enhanced tools for developing new content, increasing productivity, and customizing consumer experiences. For instance, in marketing and online shopping, generative AI helps make personalized content, write ads, and suggest products, which helps businesses connect better with their customers. These tools assist in code generation for software development, accelerating development cycles and reducing human error. The media and entertainment industries use generative AI to create virtual content, such as video editing and animation, allowing faster production and better customization.

Generative AI is also used in research and development, especially in healthcare, where it helps identify new drugs by creating molecular structures and predicting how different compounds will react. In customer service, AI chatbots and virtual assistants converse naturally, making it easier for customers to receive assistance.

According to The Pulse of Cloud (Quarterly Report, July 2024) by Wipro FullStride Cloud Services, while a majority of respondents (55%) report cloud adoption outpacing AI adoption, over one-third (35%) are advancing with both technologies together, driven by the need for scalable infrastructure to support generative AI workloads. This parallel adoption underscores how cloud capabilities such as high processing power and seamless data access are essential for deploying generative AI at scale. By leveraging the cloud's flexibility, businesses can quickly integrate and scale AI models, enabling real-time content creation, enhanced personalization, and rapid product innovation across sectors, ultimately accelerating business transformation.

The US market is expected to hold North America's largest cloud AI market share.

The US is expected to lead the cloud AI market in 2024. The country is seeing a significant increase in cloud AI adoption, fueled by advancements in AI technology and a growing awareness of its benefits. A supportive ecosystem, government initiatives, and specific industry applications also contribute to this trend. With improved AI algorithms and greater computing power, businesses use artificial intelligence to make data-driven decisions, automate processes, and boost efficiency. Leading tech companies, research institutions, and venture capital firms also support the growth of AI innovation in the region.

The government in this region is supporting AI growth through investments in research and development and establishing regulatory frameworks. For reference, an Information Services Group (ISG) report in October 2024 highlights that increasing AI and cloud adoption has significantly influenced how US companies approach application development and management (ADM) in the past year. The 2024 ISG Provider Lens Next-Gen ADM Services report shows that businesses prioritize cost optimization, accelerating AI usage throughout the application lifecycle and encouraging early adoption of generative AI.

Additionally, in February 2024, the US government launched the AI National Strategy to promote responsible AI development while ensuring national security and economic growth. This strategy outlines important areas for investment and regulation. Later, in September 2024, during the 79th Session of the United Nations General Assembly in New York, Secretary of State Antony Blinken announced the Partnership for Global Inclusivity on AI (PGIAI) to promote sustainable development through AI. The partnership, which included the US Department of State, Amazon, Anthropic, Google, IBM, Meta, Microsoft, Nvidia, and OpenAI, committed over USD100 million to enhance AI's role in developing countries, focusing on increasing access to AI tools, building technical capacity, and expanding local datasets.

HIGHEST CAGR MARKET IN 20XX
XX FASTEST GROWING MARKET IN THE REGION
Cloud AI Market Size and Share

Recent Developments of Cloud AI Market

  • In April 2024, NVIDIA acquired Run: ai, an Israeli firm, highlighting the significance of Kubernetes in AI infrastructure. Run: AI's technology improves GPU utilization for AI workloads, benefiting NVIDIA's ecosystem, broadening market reach, and advancing Kubernetes in cloud-native AI architecture.
  • In May 2024, IBM launched the AI Gateway for IBM API Connect, which became available in June. This new functionality enables users to access AI services from a single control point, enabling secure interaction between internal applications and external AI APIs. It also monitors AI API usage and gives insights for faster decisions about which large language models (LLMs) to utilize.
  • In July 2024, AWS launched AWS GenAI Lofts, a global initiative to foster innovation and engagement in the generative AI area. This program will set up temporary spaces in key AI hubs worldwide, allowing developers, companies, and AI enthusiasts to learn, create, and interact. Visitors can expect engaging experiences featuring exciting generative AI projects, workshops, informal talks, and hands-on sessions led by AI experts, community groups, and AWS partners like Anthropic, Cerebral Valley, Weights & Biases, and venture capital investors.
  • IBM and Intel announced a cooperation in August 2024 to deploy Intel Gaudi 3 AI accelerators as a service on IBM Cloud, with a launch date of early 2025. This collaboration intends to help enterprises expand their AI initiatives more effectively while maintaining high reliability and security. Gaudi 3 will be integrated into IBM's Watsonx AI and data platform, making IBM Cloud the first provider to provide Gaudi 3 for both hybrid and on-premises settings.
  • Salesforce strengthened its partnership with Google Cloud in September 2024, launching Agentforce Agents that enable safe collaboration between Salesforce Customer 360 and Google Workspace apps. This release improves previous connections, allowing mutual customers to deploy autonomous agents that work smoothly within their regular apps while benefiting from solid privacy and user data protection from Salesforce and Google Workspace.
  • In September 2024, Salesforce expanded its partnership with Google Cloud to create Agentforce Agents, which enable secure collaboration across Salesforce Customer 360 and Google Workspace apps. This launch enhances existing integrations, allowing mutual customers to deploy autonomous agents that work seamlessly within their daily apps while maintaining robust privacy and user data protections from both Salesforce and Google Workspace.

Key Market Players

List of Top Cloud AI Market Companies

The Cloud AI Market is dominated by a few major players that have a wide regional presence. The major players in the Cloud AI Market are

  • Google (US)
  • IBM (US)
  • AWS (US)
  • Microsoft (US)
  • Oracle (US)
  • Nvidia (US)
  • Salesforce (US)
  • SAP (Germany)
  • Alibaba Cloud (China)
  • HPE (US)
  • Intel (US)
  • Tencent Cloud (China)
  • H2O.ai (US)
  • OpenAI (US)
  • Baidu (China)
  • DataRobot (US)
  • Huawei (China)
  • C3 AI (US)
  • Cloudera (US)
  • Altair Engineering (US)
  • Cohere (Canada)
  • Glean (US)
  • Scale AI (US)
  • CloudMinds (China)
  • Inflection AI (US)
  • Any scale (US)
  • Frame AI (US)
  • Dataiku (US)
  • InfraCloud Technologies (India)
  • Yellow.ai (US)
  • Viso.ai (Switzerland

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Scope of the Report

Report Attribute Details
Market size available for years 2019–2029
Base year considered 2023
Forecast period 2024–2029
Forecast units Value (USD Million/Billion)
Segments Covered Offering, Technology Type, Hosting Type, Organization Size, Business Function, Verticals
Regions covered North America, Europe, Asia Pacific, Middle East Africa, and Latin America

 

Key Questions Addressed by the Report

What is cloud AI?
Cloud AI refers to artificial intelligence services and capabilities hosted on the cloud rather than local servers or devices. This means organizations access powerful AI tools and applications over the internet without investing in expensive hardware or software.
What are the benefits of implementing cloud AI?
Implementing Cloud AI offers several benefits, including cost savings by reducing the need for expensive hardware, easy access to powerful AI tools, quick scalability to meet changing needs, and the ability to leverage the latest technology without worrying about maintenance or updates.
Which are the key vendors exploring cloud AI?
Some of the significant vendors offering cloud AI worldwide include Google (US), IBM (US), AWS (US), Microsoft (US), Oracle (US), Nvidia (US), Salesforce (US), SAP (Germany), Alibaba Cloud (China), HPE (US), and Intel (US).
What is the total CAGR projected for the cloud AI market from 2024 to 2029?
The cloud AI market will record a CAGR of 32.4% from 2024 to 2029.
Who are the stakeholders in the cloud AI market?
Stakeholders in the cloud AI market include the following:
  • Research organizations
  • Third-party service providers
  • Technology providers
  • Cloud services providers
  • AI consulting companies
  • Independent software vendors (ISVs)
  • Service providers and distributors
  • Application development vendors
  • System integrators
  • Consultants/consultancy/advisory firms
  • Training and education service providers
  • Support and maintenance service providers
  • Managed service providers

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
34
RESEARCH METHODOLOGY
39
EXECUTIVE SUMMARY
51
PREMIUM INSIGHTS
55
MARKET OVERVIEW AND INDUSTRY TRENDS
59
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Increasing advancements in generative AI and intelligent automation
    - Rising adoption of cloud-based services and applications
    - Growing importance of data-driven decision-making
    RESTRAINTS
    - Data privacy and security concerns
    - Limited internet connectivity
    OPPORTUNITIES
    - Expansion into SMEs
    - Integration with emerging technologies
    CHALLENGES
    - Complexity of AI integration
    - High costs of AI implementation
  • 5.3 CASE STUDY ANALYSIS
    CASE STUDY 1: SIEMENS CONNECTED FRONTLINE WORKERS AND ENGINEERS FOR REAL-TIME PROBLEM-SOLVING USING AZURE AI
    CASE STUDY 2: ACCELERATED COLLECTION AND ANALYSIS OF INVESTMENT INFORMATION FOR EDGAR FINANCE WITH HELP OF IBM
    CASE STUDY 3: AUTOMATING SUPPORT REQUEST TRIAGE WITH SALESFORCE AI
  • 5.4 ECOSYSTEM ANALYSIS
  • 5.5 SUPPLY CHAIN ANALYSIS
  • 5.6 PRICING ANALYSIS
    INDICATIVE PRICING ANALYSIS: CLOUD AI MARKET, BY OFFERING, 2024
    AVERAGE SELLING PRICE TRENDS
    AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY TECHNOLOGY, 2024
  • 5.7 PATENT ANALYSIS
  • 5.8 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Automated machine learning
    - Cloud computing
    COMPLEMENTARY TECHNOLOGIES
    - Edge computing
    - Data lakes
    - AI development frameworks
    ADJACENT TECHNOLOGIES
    - Blockchain
    - Internet of Things
  • 5.9 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    REGULATIONS, BY REGION
    - North America
    - Europe
    - Asia Pacific
    - Middle East & South Africa
    - Latin America
    REGULATORY IMPLICATIONS AND INDUSTRY STANDARDS
    - General Data Protection Regulation (GDPR)
    - SEC Rule 17a-4
    - ISO/IEC 27001
    - System and Organization Controls 2 Type II Compliance
    - Financial Industry Regulatory Authority (FINRA)
    - Freedom of Information Act (FOIA)
    - Health Insurance Portability and Accountability Act (HIPAA)
  • 5.10 PORTER'S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF BUYERS
    BARGAINING POWER OF SUPPLIERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.11 KEY STAKEHOLDERS AND BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.12 KEY CONFERENCES AND EVENTS, 2024–2025
  • 5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.14 BUSINESS MODEL ANALYSIS
    SUBSCRIPTION-BASED MODEL
    PAY-PER-USE MODEL
    FREEMIUM MODEL
    ENTERPRISE LICENSING MODEL
    EMERGING BUSINESS MODELS
    - Marketplace model
    - Data monetization model
    - Collaborative development model
    - Outcome-based pricing model
    - Vertical-specific solutions model
  • 5.15 INVESTMENT AND FUNDING SCENARIO
  • 5.16 IMPACT OF AI/GEN AI ON CLOUD AI MARKET
    CASE STUDY: JOHNSON & JOHNSON PARTNERED WITH MICROSOFT AZURE TO DEPLOY GENERATIVE AI FOR AUTOMATION AND IMPROVING DECISION-MAKING IN HEALTHCARE
    TOP VENDORS ADAPTING TO GEN AI
    - Microsoft
    - Google Cloud
    - IBM Watson
    - Amazon Web Services (AWS)
    - Anthropic
  • 5.17 FUTURE OF AI IN CLOUD
  • 5.18 USE CASES OF AI CLOUD
    INTELLIGENT CHATBOTS AND VIRTUAL AGENTS
    AI-DRIVEN RECOMMENDATION ENGINES
    AI FOR FINANCIAL RISK MODELLING
    COMPUTER VISION APPLICATIONS
CLOUD AI MARKET, BY OFFERING
97
  • 6.1 INTRODUCTION
    OFFERING: CLOUD AI MARKET DRIVERS
  • 6.2 INFRASTRUCTURE
    GROWING NEED FOR HIGH-PERFORMANCE COMPUTING AND SCALABLE RESOURCES IN AI WORKLOADS TO PROPEL MARKET
    CLOUD AI INFRASTRUCTURE
    - Compute
    - Storage
    - Networking
    AI AND ML PLATFORMS
    - ML platforms
    - Automated machine learning (AutoML)
    - Data preparation and management
    MLOPS AND LIFECYCLE MANAGEMENT
    - Model monitoring and version control
    - AI workflow orchestration
  • 6.3 AI-AS-A-SERVICE (AIAAS)
    INCREASING DEMAND FOR SCALABLE, FLEXIBLE, AND COST-EFFECTIVE AI SOLUTIONS TO FUEL MARKET GROWTH
CLOUD AI MARKET, BY TECHNOLOGY TYPE
113
  • 7.1 INTRODUCTION
    TECHNOLOGY TYPE: MARKET DRIVERS
  • 7.2 GENERATIVE AI
    DEMAND FOR GENERATIVE AI MODELS TO DYNAMICALLY SCALE RESOURCES AND ENHANCE COST EFFICIENCY
  • 7.3 OTHER AI
    NEED FOR HIGH PROCESSING POWER AND SCALABLE RESOURCES
CLOUD AI MARKET, BY HOSTING TYPE
118
  • 8.1 INTRODUCTION
    HOSTING TYPE: MARKET DRIVERS
  • 8.2 MANAGED HOSTING
    FAULT-TOLERANT DATA CENTERS TO BOOST DEMAND FOR MANAGED HOSTING
  • 8.3 SELF-HOSTING
    DEMAND FOR INCREASED CONTROL OVER AI INFRASTRUCTURE
CLOUD AI MARKET, BY ORGANIZATION SIZE
123
  • 9.1 INTRODUCTION
    ORGANIZATION SIZE: MARKET DRIVERS
  • 9.2 LARGE ENTERPRISES
    DEMAND FOR SCALABLE AND SECURE CLOUD AI SOLUTIONS IN COMPLEX ENTERPRISE ENVIRONMENTS
  • 9.3 SMES
    DEMAND FOR COST-EFFECTIVE AND SCALABLE CLOUD AI SOLUTIONS IN SMALL-SIZED ENTERPRISES
    MARKET, BY BUSINESS FUNCTION
CLOUD AI MARKET, BY BUSINESS FUNCTION
128
  • 10.1 INTRODUCTION
    BUSINESS FUNCTION: MARKET DRIVERS
  • 10.2 MARKETING
    GROWING DEMAND FOR DATA-DRIVEN INSIGHTS AND PERSONALIZATION TO DRIVE MARKET
    MARKETING: USE CASES
    - Customer journey optimization
    - Predictive lead scoring
    - Market trends and competitive analysis
    - Email marketing optimization
  • 10.3 SALES
    CLOUD AI PLATFORMS PROVIDE INSIGHTS INTO CUSTOMER JOURNEY AND BUYING INTENT
    SALES: USE CASES
    - Sales forecasting
    - Personalized customer engagement
    - Customer sentiment analysis
    - Dynamic pricing and discounting
  • 10.4 HUMAN RESOURCES
    NEED FOR CLOUD AI SOLUTIONS FOR DATA-DRIVEN TALENT ACQUISITION IN HR
    HUMAN RESOURCES: USE CASES
    - Candidate screening
    - Employee retention analysis
    - Performance management
    - Workforce planning and forecasting
  • 10.5 FINANCE & ACCOUNTING
    AI HELPS STREAMLINE PROCESSES, ENHANCES ACCURACY, AND PROVIDES VALUABLE INSIGHTS FOR DECISION-MAKING
    FINANCE & ACCOUNTING: USE CASES
    - Fraud detection
    - Financial forecasting
    - Expense management
    - Invoice processing
  • 10.6 OPERATIONS & SUPPLY CHAIN
    NEED FOR CLOUD AI FOR REAL-TIME DATA ANALYSIS AND INVENTORY OPTIMIZATION
    OPERATIONS & SUPPLY CHAINS: USE CASES
    - Predictive maintenance
    - Supply chain optimization
    - AIOps
    - IT service management
CLOUD AI MARKET, BY VERTICAL
142
  • 11.1 INTRODUCTION
    VERTICAL: MARKET DRIVERS
  • 11.2 BFSI
    DEMAND FOR ENHANCED SECURITY AND FRAUD DETECTION TO DRIVE MARKET
    BFSI: USE CASES
    - Fraud detection & prevention
    - Risk assessment & management
    - Credit scoring & underwriting
    - Customer service automation
  • 11.3 RETAIL & E-COMMERCE
    GROWING FOCUS ON PERSONALIZED MARKETING TO DRIVE MARKET
    RETAIL & E-COMMERCE: USE CASES
    - Personalized product recommendation
    - Customer relationship management
    - Visual search
    - Virtual customer assistant
  • 11.4 MANUFACTURING
    NEED FOR QUALITY CONTROL AND PREDICTIVE MAINTENANCE TO MINIMIZE DOWNTIME AND WASTE TO DRIVE MARKET
    MANUFACTURING: USE CASES
    - Predictive maintenance & machinery inspection
    - Material movement management
    - Production planning
    - Quality control
  • 11.5 GOVERNMENT & DEFENSE
    DEMAND FOR AI-DRIVEN INSIGHTS FOR PRECISION POLICY DECISIONS TO DRIVE MARKET
    GOVERNMENT & DEFENSE: USE CASES
    - Surveillance & situational awareness
    - Law enforcement
    - Intelligence analysis and data processing
    - Simulation & training
  • 11.6 HEALTHCARE & LIFE SCIENCES
    GROWING EMPHASIS ON EARLY DISEASE DETECTION AND PERSONALIZED TREATMENT TO DRIVE MARKET
    HEALTHCARE & LIFE SCIENCES: USE CASES
    - Patient data and risk analysis
    - Lifestyle management & monitoring and wearables
    - In-patient care & hospital management
    - Medical imaging and diagnostics
  • 11.7 TECHNOLOGY & SOFTWARE PROVIDERS
    DEMAND FOR CUSTOMIZED CLOUD AI PLATFORMS ACROSS VERTICALS TO DRIVE MARKET
    TECHNOLOGY & SOFTWARE PROVIDER: USE CASES
    - Big data analytics
    - AI-driven software development
    - Cybersecurity and fraud detection
    - Robotics and automation
  • 11.8 IT & TELECOM
    NEED FOR OPTIMIZED NETWORK MANAGEMENT AND ENHANCED CUSTOMER INTERACTION TO DRIVE MARKET
    IT & TELECOM: USE CASES
    - AI-driven network analytics
    - Chatbot-enhanced customer support
    - Cloud-based unified communications
    - Fraud detection in mobile services
  • 11.9 ENERGY & UTILITIES
    INCREASED EMPHASIS ON IMPROVED ENERGY DISTRIBUTION AND RESOURCE MANAGEMENT TO DRIVE MARKET
    ENERGY & UTILITIES: USE CASES
    - Energy demand forecasting
    - Grid optimization & management
    - Smart metering & energy data management
    - Energy storage optimization
  • 11.10 MEDIA & ENTERTAINMENT
    DEMAND FOR ENHANCED CONTENT CREATION, DISTRIBUTION, AND AUDIENCE ENGAGEMENT TO DRIVE MARKET
    MEDIA & ENTERTAINMENT: USE CASES
    - Content recommendation engines
    - Automated video editing
    - Sentiment analysis for audience feedback
    - Virtual and augmented reality experiences
  • 11.11 AUTOMOTIVE, TRANSPORTATION, & LOGISTICS
    DEMAND FOR EFFICIENT ROUTING AND SCHEDULING TO DRIVE MARKET
    AUTOMOTIVE, TRANSPORTATION, & LOGISTICS: USE CASES
    - Supply chain visibility and tracking
    - Route optimization
    - Driver assistance systems
    - Smart logistics & warehousing
  • 11.12 OTHER VERTICALS
CLOUD AI MARKET, BY REGION
168
  • 12.1 INTRODUCTION
  • 12.2 NORTH AMERICA
    NORTH AMERICA: MARKET DRIVERS
    NORTH AMERICA: MACROECONOMIC OUTLOOK
    US
    - Advancements in AI technologies, supportive ecosystem, and government initiatives to drive market
    CANADA
    - Investments from tech companies to boost cloud environment
  • 12.3 EUROPE
    EUROPE: MARKET DRIVERS
    EUROPE: MACROECONOMIC OUTLOOK
    UK
    - AI-powered cloud solutions revolutionizing business landscape
    GERMANY
    - Investments from tech giants to boost cloud AI demand
    FRANCE
    - AI initiatives and investments in research and development to drive market
    ITALY
    - Government investments in AI to support digital growth to drive market
    NORDIC
    - Increasing adoption of cloud AI solutions in various sectors to drive market
    SPAIN
    - Increasing AI adoption across industries seeking advanced analytics and automation to drive market
    REST OF EUROPE
  • 12.4 ASIA PACIFIC
    ASIA PACIFIC: MARKET DRIVERS
    ASIA PACIFIC: MACROECONOMIC OUTLOOK
    CHINA
    - Presence of strong local players to drive market
    JAPAN
    - Increasing demand for AI-enabled solutions that enhance productivity and support digital transformation across sectors to drive market
    SOUTH KOREA
    - Government-funded AI projects help local cloud vendors expand into global market
    AUSTRALIA & NEW ZEALAND
    - Increasing application in healthcare, finance, and retail to drive demand for cloud AI
    INDIA
    - Government initiatives to boost digital transformation to drive AI adoption
    REST OF ASIA PACIFIC
  • 12.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: MARKET DRIVERS
    MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    GULF COOPERATION COUNCIL (GCC)
    - UAE
    - Saudi Arabia
    - Qatar
    - Rest of GCC countries
    SOUTH AFRICA
    - Increasing investments in digital transformation and rising demand for AI-driven solutions across various sectors to drive market
    TURKEY
    - National AI strategy and partnerships with major tech firms to drive market
    REST OF MIDDLE EAST & AFRICA
  • 12.6 LATIN AMERICA
    LATIN AMERICA: MARKET DRIVERS
    LATIN AMERICA: MACROECONOMIC OUTLOOK
    BRAZIL
    - New AI initiatives by government and local vendors to boost market
    MEXICO
    - Government-driven digital transformation to drive market
    ARGENTINA
    - Increasing investments from global tech companies in AI partnerships and infrastructure to fuel market
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
245
  • 13.1 INTRODUCTION
  • 13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021–2024
  • 13.3 MARKET SHARE ANALYSIS, 2023
  • 13.4 BRAND/PRODUCT COMPARISON
    IBM – IBM WATSON STUDIO
    GOOGLE – VERTEX AI
    MICROSOFT – AZURE AI
    AWS – AWS SAGEMAKER
    ORACLE – GENERATIVE AI SERVICES
  • 13.5 REVENUE ANALYSIS, 2019–2023
  • 13.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2023
    - Company footprint
    - Region footprint
    - Offering footprint
    - Technology type footprint
    - Vertical footprint
  • 13.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUP/SMES, 2023
    - Detailed list of key startups/SMEs
    - Competitive benchmarking of startups/SMEs
  • 13.8 COMPANY VALUATION AND FINANCIAL METRICS
  • 13.9 COMPETITIVE SCENARIO
    PRODUCT LAUNCHES AND ENHANCEMENTS
    DEALS
COMPANY PROFILES
268
  • 14.1 INTRODUCTION
  • 14.2 MAJOR PLAYERS
    GOOGLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    AWS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    MICROSOFT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    ORACLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    NVIDIA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SALESFORCE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SAP
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ALIBABA CLOUD
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    HPE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    INTEL
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
  • 14.3 OTHER PLAYERS
    TENCENT CLOUD
    OPENAI
    BAIDU
    HUAWEI
    C3 AI
    CLOUDERA
    ALTAIR
    INFRACLOUD TECHNOLOGIES
    CLOUDMINDS
  • 14.4 STARTUPS/SMES
    DATAROBOT
    COHERE
    GLEAN
    H2O.AI
    SCALE AI
    INFLECTION AI
    ANYSCALE
    FRAME.AI
    DATAIKU
    YELLOW.AI
    VISO.AI
ADJACENT/RELATED MARKETS
376
  • 15.1 INTRODUCTION
  • 15.2 RELATED MARKETS
  • 15.3 LIMITATIONS
  • 15.4 ARTIFICIAL INTELLIGENCE (AI) MARKET
  • 15.5 AI INFRASTRUCTURE MARKET
APPENDIX
379
  • 16.1 DISCUSSION GUIDE
  • 16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 16.3 CUSTOMIZATION OPTIONS
  • 16.4 RELATED REPORTS
  • 16.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 USD EXCHANGE RATES, 2018–2023
  • TABLE 2 FACTOR ANALYSIS
  • TABLE 3 CLOUD AI MARKET SIZE AND GROWTH, 2019–2023 (USD MILLION, YOY GROWTH %)
  • TABLE 4 MARKET SIZE AND GROWTH, 2024–2029 (USD MILLION, YOY GROWTH %)
  • TABLE 5 MARKET: CLOUD PROVIDERS
  • TABLE 6 MARKET: PLATFORM PROVIDERS
  • TABLE 7 MARKET: AI SERVICE PROVIDERS
  • TABLE 8 MARKET: DATA PROVIDERS
  • TABLE 9 MARKET: BUSINESS APPLICATIONS
  • TABLE 10 MARKET: REGULATORY BODIES
  • TABLE 11 INDICATIVE PRICING LEVELS OF GENERATIVE AI SOLUTIONS, BY OFFERING
  • TABLE 12 AVERAGE SELLING PRICE OF KEY PLAYERS FOR TOP 3 TECHNOLOGIES, 2024
  • TABLE 13 LIST OF MAJOR PATENTS FOR CLOUD AI MARKET, 2021–2024
  • TABLE 14 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 15 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 16 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 17 REST OF THE WORLD: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 18 IMPACT OF PORTER’S FIVE FORCES ON MARKET
  • TABLE 19 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
  • TABLE 20 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • TABLE 21 CLOUD AI MARKET: KEY CONFERENCES AND EVENTS, 2024–2025
  • TABLE 22 MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 23 MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 24 MARKET, BY INFRASTRUCTURE, 2019–2023 (USD MILLION)
  • TABLE 25 MARKET, BY INFRASTRUCTURE, 2024–2029 (USD MILLION)
  • TABLE 26 INFRASTRUCTURE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 27 INFRASTRUCTURE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 28 CLOUD AI INFRASTRUCTURE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 29 CLOUD AI INFRASTRUCTURE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 30 MARKET, BY CLOUD AI INFRASTRUCTURE, 2019–2023 (USD MILLION)
  • TABLE 31 CLOUD AI MARKET, BY CLOUD AI INFRASTRUCTURE, 2024–2029 (USD MILLION)
  • TABLE 32 COMPUTE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 33 COMPUTE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 34 STORAGE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 35 STORAGE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 36 NETWORKING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 37 NETWORKING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 38 AI AND ML PLATFORMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 39 AI AND ML PLATFORMS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 40 MARKET, BY AI AND ML PLATFORM, 2019–2023 (USD MILLION)
  • TABLE 41 MARKET, BY AI AND ML PLATFORM, 2024–2029 (USD MILLION)
  • TABLE 42 ML PLATFORMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 43 ML PLATFORMS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 44 AUTOML: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 45 AUTOML: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 46 DATA PREPARATION AND MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 47 DATA PREPARATION AND MANAGEMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 48 MLOPS AND LIFECYCLE MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 49 MLOPS AND LIFECYCLE MANAGEMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 50 MARKET, BY MLOPS AND LIFECYCLE MANAGEMENT, 2019–2023 (USD MILLION)
  • TABLE 51 CLOUD AI MARKET, BY MLOPS AND LIFECYCLE MANAGEMENT, 2024–2029 (USD MILLION)
  • TABLE 52 MODEL MONITORING AND VERSION CONTROL: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 53 MODEL MONITORING AND VERSION CONTROL: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 54 AI WORKFLOW ORCHESTRATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 55 AI WORKFLOW ORCHESTRATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 56 AI-AS-A-SERVICE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 57 AI-AS-A-SERVICE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 58 MARKET, BY TECHNOLOGY TYPE, 2019–2023 (USD MILLION)
  • TABLE 59 MARKET, BY TECHNOLOGY TYPE, 2024–2029 (USD MILLION)
  • TABLE 60 GENERATIVE AI: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 61 GENERATIVE AI: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 62 OTHER AI: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 63 OTHER AI: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 64 MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 65 MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 66 MANAGED HOSTING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 67 MANAGED HOSTING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 68 SELF-HOSTING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 69 SELF-HOSTING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 70 MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 71 CLOUD AI MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 72 ORGANIZATION SIZE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 73 ORGANIZATION SIZE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 74 LARGE ENTERPRISES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 75 LARGE ENTERPRISES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 76 SMES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 77 SMES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 78 MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
  • TABLE 79 MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
  • TABLE 80 MARKETING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 81 MARKETING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 82 SALES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 83 SALES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 84 HUMAN RESOURCES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 85 HUMAN RESOURCES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 86 FINANCE & ACCOUNTING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 87 FINANCE & ACCOUNTING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 88 OPERATIONS & SUPPLY CHAIN: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 89 OPERATIONS & SUPPLY CHAIN: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 90 MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 91 CLOUD AI MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 92 BFSI: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 93 BFSI: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 94 RETAIL & E-COMMERCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 95 RETAIL & E-COMMERCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 96 MANUFACTURING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 97 MANUFACTURING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 98 GOVERNMENT & DEFENSE: CLOUD AI MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 99 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 100 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 101 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 102 TECHNOLOGY & SOFTWARE PROVIDERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 103 TECHNOLOGY & SOFTWARE PROVIDERS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 104 IT & TELECOM: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 105 IT & TELECOM: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 106 ENERGY & UTILITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 107 ENERGY & UTILITIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 108 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 109 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 110 AUTOMOTIVE, TRANSPORTATION, & LOGISTICS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 111 AUTOMOTIVE, TRANSPORTATION, & LOGISTICS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 112 OTHER VERTICALS: CLOUD AI MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 113 OTHER VERTICALS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 114 MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 115 MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 116 NORTH AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 117 NORTH AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 118 NORTH AMERICA: MARKET, BY INFRASTRUCTURE, 2019–2023 (USD MILLION
  • TABLE 119 NORTH AMERICA: MARKET, BY INFRASTRUCTURE, 2024–2029 (USD MILLION)
  • TABLE 120 NORTH AMERICA: MARKET, BY CLOUD AI INFRASTRUCTURE, 2019–2023 (USD MILLION)
  • TABLE 121 NORTH AMERICA: MARKET, BY CLOUD AI INFRASTRUCTURE, 2024–2029 (USD MILLION)
  • TABLE 122 NORTH AMERICA: MARKET, BY AI AND ML PLATFORM, 2019–2023 (USD MILLION)
  • TABLE 123 NORTH AMERICA: MARKET, BY AI AND ML PLATFORM, 2024–2029 (USD MILLION)
  • TABLE 124 NORTH AMERICA: MARKET, BY MLOPS AND LIFECYCLE MANAGEMENT, 2019–2023 (USD MILLION)
  • TABLE 125 NORTH AMERICA: MARKET, BY MLOPS AND LIFECYCLE MANAGEMENT, 2024–2029 (USD MILLION)
  • TABLE 126 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 127 NORTH AMERICA: CLOUD AI MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 128 NORTH AMERICA: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 129 NORTH AMERICA: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 130 NORTH AMERICA: MARKET, BY TECHNOLOGY TYPE, 2019–2023 (USD MILLION)
  • TABLE 131 NORTH AMERICA: MARKET, BY TECHNOLOGY TYPE, 2024–2029 (USD MILLION)
  • TABLE 132 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
  • TABLE 133 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
  • TABLE 134 NORTH AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 135 NORTH AMERICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 136 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 137 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 138 US: CLOUD AI MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 139 US: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 140 US: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 141 US: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 142 CANADA: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 143 CANADA: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 144 CANADA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 145 CANADA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 146 EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 147 EUROPE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 148 EUROPE: MARKET, BY INFRASTRUCTURE, 2019–2023 (USD MILLION
  • TABLE 149 EUROPE: MARKET, BY INFRASTRUCTURE, 2024–2029 (USD MILLION)
  • TABLE 150 EUROPE: MARKET, BY CLOUD AI INFRASTRUCTURE, 2019–2023 (USD MILLION)
  • TABLE 151 EUROPE: MARKET, BY CLOUD AI INFRASTRUCTURE, 2024–2029 (USD MILLION)
  • TABLE 152 EUROPE: MARKET, BY AI AND ML PLATFORM, 2019–2023 (USD MILLION)
  • TABLE 153 EUROPE: MARKET, BY AI AND ML PLATFORM, 2024–2029 (USD MILLION)
  • TABLE 154 EUROPE: MARKET, BY MLOPS AND LIFECYCLE MANAGEMENT, 2019–2023 (USD MILLION)
  • TABLE 155 EUROPE: CLOUD AI MARKET, BY MLOPS AND LIFECYCLE MANAGEMENT, 2024–2029 (USD MILLION)
  • TABLE 156 EUROPE: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 157 EUROPE: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 158 EUROPE: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 159 EUROPE: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 160 EUROPE: MARKET, BY TECHNOLOGY TYPE, 2019–2023 (USD MILLION)
  • TABLE 161 EUROPE: MARKET, BY TECHNOLOGY TYPE, 2024–2029 (USD MILLION)
  • TABLE 162 EUROPE: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
  • TABLE 163 EUROPE: MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
  • TABLE 164 EUROPE: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 165 EUROPE: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 166 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 167 EUROPE: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 168 UK: CLOUD AI MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 169 UK: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 170 UK: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 171 UK: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 172 GERMANY: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 173 GERMANY: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 174 GERMANY: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 175 GERMANY: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 176 FRANCE: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 177 FRANCE: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 178 FRANCE: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 179 FRANCE: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 180 ITALY: CLOUD AI MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 181 ITALY: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 182 ITALY: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 183 ITALY: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 184 NORDIC: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 185 NORDIC: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 186 NORDIC: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 187 NORDIC: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 188 SPAIN: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 189 SPAIN: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 190 SPAIN: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 191 SPAIN: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 192 REST OF EUROPE: CLOUD AI MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 193 REST OF EUROPE: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 194 REST OF EUROPE: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 195 REST OF EUROPE: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 196 ASIA PACIFIC: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 197 ASIA PACIFIC: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 198 ASIA PACIFIC: MARKET, BY INFRASTRUCTURE, 2019–2023 (USD MILLION
  • TABLE 199 ASIA PACIFIC: MARKET, BY INFRASTRUCTURE, 2024–2029 (USD MILLION)
  • TABLE 200 ASIA PACIFIC: MARKET, BY CLOUD AI INFRASTRUCTURE, 2019–2023 (USD MILLION)
  • TABLE 201 ASIA PACIFIC: MARKET, BY CLOUD AI INFRASTRUCTURE, 2024–2029 (USD MILLION)
  • TABLE 202 ASIA PACIFIC: MARKET, BY AI AND ML PLATFORM, 2019–2023 (USD MILLION)
  • TABLE 203 ASIA PACIFIC: MARKET, BY AI AND ML PLATFORM, 2024–2029 (USD MILLION)
  • TABLE 204 ASIA PACIFIC: MARKET, BY MLOPS AND LIFECYCLE MANAGEMENT, 2019–2023 (USD MILLION)
  • TABLE 205 ASIA PACIFIC: MARKET, BY MLOPS AND LIFECYCLE MANAGEMENT, 2024–2029 (USD MILLION)
  • TABLE 206 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 207 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 208 ASIA PACIFIC: CLOUD AI MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 209 ASIA PACIFIC: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 210 ASIA PACIFIC: MARKET, BY TECHNOLOGY TYPE, 2019–2023 (USD MILLION)
  • TABLE 211 ASIA PACIFIC: MARKET, BY TECHNOLOGY TYPE, 2024–2029 (USD MILLION)
  • TABLE 212 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
  • TABLE 213 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
  • TABLE 214 ASIA PACIFIC: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 215 ASIA PACIFIC: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 216 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 217 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 218 CHINA: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 219 CHINA: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 220 CHINA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 221 CHINA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 222 JAPAN: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 223 JAPAN: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 224 JAPAN: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 225 JAPAN: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 226 SOUTH KOREA: CLOUD AI MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 227 SOUTH KOREA: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 228 SOUTH KOREA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 229 SOUTH KOREA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 230 AUSTRALIA & NEW ZEALAND: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 231 AUSTRALIA & NEW ZEALAND: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 232 AUSTRALIA & NEW ZEALAND: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 233 AUSTRALIA & NEW ZEALAND: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 234 INDIA: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 235 INDIA: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 236 INDIA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 237 INDIA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 238 REST OF ASIA PACIFIC: CLOUD AI MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 239 REST OF ASIA PACIFIC: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 240 REST OF ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 241 REST OF ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 242 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 243 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 244 MIDDLE EAST & AFRICA: MARKET, BY INFRASTRUCTURE, 2019–2023 (USD MILLION)
  • TABLE 245 MIDDLE EAST & AFRICA: MARKET, BY INFRASTRUCTURE, 2024–2029 (USD MILLION)
  • TABLE 246 MIDDLE EAST & AFRICA: MARKET, BY CLOUD AI INFRASTRUCTURE, 2019–2023 (USD MILLION)
  • TABLE 247 MIDDLE EAST & AFRICA: MARKET, BY CLOUD AI INFRASTRUCTURE, 2024–2029 (USD MILLION)
  • TABLE 248 MIDDLE EAST & AFRICA: MARKET, BY AI AND ML PLATFORM, 2019–2023 (USD MILLION)
  • TABLE 249 MIDDLE EAST & AFRICA: MARKET, BY AI AND ML PLATFORM, 2024–2029 (USD MILLION)
  • TABLE 250 MIDDLE EAST & AFRICA: MARKET, BY MLOPS AND LIFECYCLE MANAGEMENT, 2019–2023 (USD MILLION)
  • TABLE 251 MIDDLE EAST & AFRICA: CLOUD AI MARKET, BY MLOPS AND LIFECYCLE MANAGEMENT, 2024–2029 (USD MILLION)
  • TABLE 252 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 253 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 254 MIDDLE EAST & AFRICA: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 255 MIDDLE EAST & AFRICA: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 256 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY TYPE, 2019–2023 (USD MILLION)
  • TABLE 257 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY TYPE, 2024–2029 (USD MILLION)
  • TABLE 258 MIDDLE EAST & AFRICA: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
  • TABLE 259 MIDDLE EAST & AFRICA: MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
  • TABLE 260 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 261 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 262 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 263 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 264 GCC: CLOUD AI MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 265 GCC: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 266 GCC: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 267 GCC: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 268 GCC: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 269 GCC: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 270 UAE: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 271 UAE: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 272 UAE: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 273 UAE: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 274 SAUDI ARABIA: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 275 SAUDI ARABIA: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 276 SAUDI ARABIA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 277 SAUDI ARABIA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 278 QATAR: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 279 QATAR: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 280 QATAR: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 281 QATAR: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 282 REST OF GCC: CLOUD AI MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 283 REST OF GCC: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 284 REST OF GCC: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 285 REST OF GCC: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 286 SOUTH AFRICA: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 287 SOUTH AFRICA: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 288 SOUTH AFRICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 289 SOUTH AFRICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 290 TURKEY: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 291 TURKEY: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 292 TURKEY: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 293 TURKEY: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 294 REST OF MIDDLE EAST & AFRICA: CLOUD AI MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 295 REST OF MIDDLE EAST & AFRICA: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 296 REST OF MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 297 REST OF MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 298 LATIN AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 299 LATIN AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 300 LATIN AMERICA: MARKET, BY INFRASTRUCTURE, 2019–2023 (USD MILLION
  • TABLE 301 LATIN AMERICA: MARKET, BY INFRASTRUCTURE, 2024–2029 (USD MILLION)
  • TABLE 302 LATIN AMERICA: MARKET, BY CLOUD AI INFRASTRUCTURE, 2019–2023 (USD MILLION)
  • TABLE 303 LATIN AMERICA: MARKET, BY CLOUD AI INFRASTRUCTURE, 2024–2029 (USD MILLION)
  • TABLE 304 LATIN AMERICA: MARKET, BY AI AND ML PLATFORM, 2019–2023 (USD MILLION)
  • TABLE 305 LATIN AMERICA: MARKET, BY AI AND ML PLATFORM, 2024–2029 (USD MILLION)
  • TABLE 306 LATIN AMERICA: MARKET, BY MLOPS AND LIFECYCLE MANAGEMENT, 2019–2023 (USD MILLION)
  • TABLE 307 LATIN AMERICA: MARKET, BY MLOPS AND LIFECYCLE MANAGEMENT, 2024–2029 (USD MILLION)
  • TABLE 308 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 309 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 310 LATIN AMERICA: CLOUD AI MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 311 LATIN AMERICA: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 312 LATIN AMERICA: MARKET, BY TECHNOLOGY TYPE, 2019–2023 (USD MILLION)
  • TABLE 313 LATIN AMERICA: MARKET, BY TECHNOLOGY TYPE, 2024–2029 (USD MILLION)
  • TABLE 314 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
  • TABLE 315 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
  • TABLE 316 LATIN AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 317 LATIN AMERICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 318 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 319 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 320 BRAZIL: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 321 BRAZIL: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 322 BRAZIL: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 323 BRAZIL: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 324 MEXICO: CLOUD AI MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 325 MEXICO: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 326 MEXICO: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 327 MEXICO: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 328 ARGENTINA: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 329 ARGENTINA: MARKET, BY HOSTING TYPE, 2024–2029 (USD MILLION)
  • TABLE 330 ARGENTINA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 331 ARGENTINA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 332 REST OF LATIN AMERICA: MARKET, BY HOSTING TYPE, 2019–2023 (USD MILLION)
  • TABLE 333 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 334 REST OF LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 335 REST OF LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 336 OVERVIEW OF STRATEGIES ADOPTED BY KEY VENDORS
  • TABLE 337 CLOUD AI MARKET SHARE ANALYSIS OF KEY VENDORS, 2023
  • TABLE 338 MARKET: REGION FOOTPRINT
  • TABLE 339 MARKET: OFFERING FOOTPRINT
  • TABLE 340 MARKET: TECHNOLOGY TYPE FOOTPRINT
  • TABLE 341 MARKET: VERTICAL FOOTPRINT
  • TABLE 342 MARKET: KEY STARTUPS/SMES
  • TABLE 343 MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
  • TABLE 344 MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, JANUARY 2021–OCTOBER 2024
  • TABLE 345 CLOUD AI MARKET: DEALS, JANUARY 2021–OCTOBER 2024
  • TABLE 346 GOOGLE: COMPANY OVERVIEW
  • TABLE 347 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 348 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 349 GOOGLE: DEALS
  • TABLE 350 GOOGLE: EXPANSIONS
  • TABLE 351 IBM: COMPANY OVERVIEW
  • TABLE 352 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 353 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 354 IBM: DEALS
  • TABLE 355 AWS: COMPANY OVERVIEW
  • TABLE 356 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 357 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 358 AWS: DEALS
  • TABLE 359 AWS: OTHERS
  • TABLE 360 MICROSOFT: COMPANY OVERVIEW
  • TABLE 361 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 362 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 363 MICROSOFT: DEALS
  • TABLE 364 ORACLE: COMPANY OVERVIEW
  • TABLE 365 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 366 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 367 ORACLE: DEALS
  • TABLE 368 NVIDIA: COMPANY OVERVIEW
  • TABLE 369 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 370 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 371 NVIDIA: DEALS
  • TABLE 372 SALESFORCE: COMPANY OVERVIEW
  • TABLE 373 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 374 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 375 SALESFORCE: DEALS
  • TABLE 376 SAP: COMPANY OVERVIEW
  • TABLE 377 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 378 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 379 SAP: DEALS
  • TABLE 380 ALIBABA CLOUD: COMPANY OVERVIEW
  • TABLE 381 ALIBABA CLOUD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 382 ALIBABA CLOUD: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 383 ALIBABA CLOUD: DEALS
  • TABLE 384 HPE: COMPANY OVERVIEW
  • TABLE 385 HPE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 386 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 387 HPE: DEALS
  • TABLE 388 INTEL: COMPANY OVERVIEW
  • TABLE 389 INTEL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 390 INTEL: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 391 INTEL: DEALS
  • TABLE 392 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD BILLION)
  • TABLE 393 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD BILLION)
  • TABLE 394 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2019–2023 (USD MILLION)
  • TABLE 395 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2024–2030 (USD MILLION)
  • TABLE 396 AI INFRASTRUCTURE MARKET, BY OFFERING, 2018–2021 (USD BILLION)
  • TABLE 397 AI INFRASTRUCTURE MARKET, BY OFFERING, 2022–2027 (USD BILLION)
  • TABLE 398 AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2018–2021 (USD BILLION)
  • TABLE 399 AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
LIST OF FIGURES
 
  • FIGURE 1 CLOUD AI MARKET: RESEARCH DESIGN
  • FIGURE 2 BREAKUP OF PRIMARY INTERVIEWS, BY COMPANY TYPE, DESIGNATION, AND REGION
  • FIGURE 3 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • FIGURE 6 MARKET: RESEARCH FLOW
  • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: SUPPLY-SIDE ANALYSIS
  • FIGURE 8 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH FROM SUPPLY SIDE – COLLECTIVE REVENUE OF VENDORS
  • FIGURE 9 MARKET SIZE ESTIMATION METHODOLOGY: DEMAND-SIDE APPROACH
  • FIGURE 10 GLOBAL MARKET TO WITNESS SIGNIFICANT GROWTH
  • FIGURE 11 FASTEST-GROWING SEGMENTS IN MARKET, 2024–2029
  • FIGURE 12 CLOUD AI MARKET: REGIONAL SNAPSHOT
  • FIGURE 13 DEMAND FOR SCALABLE AND COST-EFFICIENT AI SOLUTIONS ACROSS INDUSTRIES IS DRIVING THE MARKET
  • FIGURE 14 INFRASTRUCTURE SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE THAN AIAAS SEGMENT DURING FORECAST PERIOD
  • FIGURE 15 MANAGED HOSTING SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE THAN SELF-HOSTING SEGMENT DURING FORECAST PERIOD
  • FIGURE 16 OTHER AI SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE THAN GENERATIVE AI SEGMENT DURING FORECAST PERIOD
  • FIGURE 17 SALES SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE THAN OTHER BUSINESS FUNCTIONS DURING FORECAST PERIOD
  • FIGURE 18 LARGE ENTERPRISES SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE THAN SMES SEGMENT DURING FORECAST PERIOD
  • FIGURE 19 BFSI SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD
  • FIGURE 20 ASIA PACIFIC TO EMERGE AS BEST MARKET FOR INVESTMENT IN NEXT FIVE YEARS
  • FIGURE 21 MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 22 MARKET: ECOSYSTEM ANALYSIS
  • FIGURE 23 MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 24 AVERAGE SELLING PRICE OF KEY PLAYERS FOR TOP 3 TECHNOLOGIES
  • FIGURE 25 PATENTS APPLIED AND PUBLISHED, 2013–2023
  • FIGURE 26 MARKET: PORTER'S FIVE FORCES ANALYSIS
  • FIGURE 27 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
  • FIGURE 28 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • FIGURE 29 MARKET: TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 30 CLOUD AI MARKET: BUSINESS MODELS
  • FIGURE 31 LEADING MARKET VENDORS, BY NUMBER OF INVESTORS AND FUNDING ROUNDS, 2024
  • FIGURE 32 IMPACT OF GEN AI ON MARKET, 2024
  • FIGURE 33 PREFERENCE FOR CLOUD-BASED SERVICES OVER NON-CLOUD TO UTILIZE AI CAPABILITIES
  • FIGURE 34 INFRASTRUCTURE SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 35 GENERATIVE AI SEGMENT TO REGISTER HIGHER CAGR THAN OTHER AI SEGMENT DURING FORECAST PERIOD
  • FIGURE 36 MANAGED HOSTING SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 37 SMES SEGMENT TO REGISTER HIGHER CAGR THAN LARGE ENTERPRISES SEGMENT DURING FORECAST PERIOD
  • FIGURE 38 SALES SEGMENT TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD
  • FIGURE 39 BFSI SEGMENT TO ACCOUNT FOR LARGEST MARKET SIZE DURING FORECAST PERIOD
  • FIGURE 40 NORTH AMERICA TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 41 NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 42 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 43 MARKET: BRAND/PRODUCT COMPARISON
  • FIGURE 44 HISTORICAL REVENUE ANALYSIS, 2019–2023 (USD MILLION)
  • FIGURE 45 COMPANY EVALUATION MATRIX FOR KEY PLAYERS: CRITERIA WEIGHTAGE
  • FIGURE 46 MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 47 MARKET: COMPANY FOOTPRINT
  • FIGURE 48 EVALUATION MATRIX FOR STARTUPS/SMES: CRITERIA WEIGHTAGE
  • FIGURE 49 CLOUD AI MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
  • FIGURE 50 COMPANY VALUATION OF KEY VENDORS
  • FIGURE 51 FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 52 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 53 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 54 IBM: COMPANY SNAPSHOT
  • FIGURE 55 AWS: COMPANY SNAPSHOT
  • FIGURE 56 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 57 ORACLE: COMPANY SNAPSHOT
  • FIGURE 58 NVIDIA: COMPANY SNAPSHOT
  • FIGURE 59 SALESFORCE: COMPANY SNAPSHOT
  • FIGURE 60 SAP: COMPANY SNAPSHOT
  • FIGURE 61 ALIBABA GROUP: COMPANY SNAPSHOT
  • FIGURE 62 HPE: COMPANY SNAPSHOT
  • FIGURE 63 INTEL: COMPANY SNAPSHOT

 

The study comprised four main activities to estimate the cloud AI market size. We conducted significant secondary research to gather data on the market, the competing market, and the parent market. The following stage involved conducting primary research to confirm these conclusions and hypotheses and sizing with industry experts throughout the value chain. The overall market size was evaluated using a blend of top-down and bottom-up approach methodologies. After that, we estimated the market sizes of the various cloud AI market segments using the market breakup and data triangulation techniques.

Secondary Research

We determined the size of companies offering cloud AI based on secondary data from paid and unpaid sources. We also analyzed major companies' product portfolios and rated them based on their performance and quality.

In the secondary research process, various sources were referred to identify and collect information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors' websites. Additionally, the spending of various countries on the cloud AI market was extracted from the respective sources. We used secondary research to obtain the critical information related to the industry's value chain and supply chain to identify the key players based on offering, market classification, and segmentation according to components of the major players, industry trends related to components, users, and regions, and the key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, we interviewed various primary sources from the supply and demand sides of the cloud AI market to obtain qualitative and quantitative information. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from vendors providing offerings, associated service providers, and operating in the targeted countries. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to arrive at the final quantitative and qualitative data.

After the complete market engineering process (including calculations for market statistics, market breakup, market size estimations, market forecasting, and data triangulation), we conducted extensive primary research to gather information and verify and validate the critical numbers arrived at. The primary research also helped identify and validate the segmentation, industry trends, key players, competitive landscape, and market dynamics, such as drivers, restraints, opportunities, challenges, and key strategies. In the complete market engineering process, the bottom-up approach and several data triangulation methods were extensively used to perform market estimation and market forecasting for the overall market segments and subsegments listed in this report. We conducted an extensive qualitative and quantitative analysis of the complete market engineering process to list the key information/insights throughout the report.

Cloud AI Market Size, and Share

Note 1: Tier 1 companies have revenues greater than USD 10 billion; tier 2 companies' revenues range
between USD 1 and 10 billion; and tier 3 companies' revenues range between USD 500 million and 1 billion
Note 2: Others include sales, marketing, and product managers.
Source: Secondary Literature, Interviews with Experts, and MarketsandMarkets Analysis

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

The cloud AI market and related submarkets were estimated and forecasted using top-down and bottom-up methodologies. We used the bottom-up method to determine the market's overall size, using the revenues and product offerings of the major market players. This research ascertained and validated the precise value of the total parent market size through data triangulation techniques and primary interview validation. Next, using percentage splits of the market segments, we utilized the overall market size in the top-down approach to estimate the size of other individual markets.

The research methodology used to estimate the market size included the following:

  • We used primary and secondary research to determine the revenue contributions of the major market participants in each country after secondary research helped identify them.
  • Throughout the process, we obtained critical insights by conducting in-depth interviews with industry professionals, including directors, CEOs, VPs, and marketing executives, and by reading the annual and financial reports of the top firms in the market.
  • We used primary sources to verify all percentage splits and breakups, which we calculated using secondary sources.

Cloud AI Market : Top-Down and Bottom-Up Approach

Cloud AI Market Top Down and Bottom Up Approach

Data Triangulation

Once the overall market size was determined, we divided the market into segments and subsegments using the previously described market size estimation procedures. When required, market breakdown and data triangulation procedures were employed to complete the market engineering process and specify the exact figures for every market segment and subsegment. The data was triangulated by examining several variables and patterns from government entities' supply and demand sides.

Market Definition

Considering the views of various sources and associations, MarketsandMarkets defines cloud AI as combining cloud computing with artificial intelligence to provide businesses and individuals easy access to advanced AI tools and services. Organizations can streamline their operations and enhance their capabilities by integrating technologies like machine learning, natural language processing, and computer vision into cloud platforms such as Google Cloud AI, Amazon Web Services (AWS), and Microsoft Azure. Cloud AI enables companies to harness the full potential of AI without heavy upfront investments, making it scalable and cost-effective. As a result, cloud AI empowers businesses to innovate, improve decision-making, and gain a competitive edge in their industries.

Stakeholders

  • Research organizations
  • Third-party service providers
  • Technology providers
  • Cloud services providers
  • AI consulting companies
  • Independent software vendors (ISVs)
  • Service providers and distributors
  • Application development vendors
  • System integrators
  • Consultants/consultancy/advisory firms
  • Training and education service providers
  • Support and maintenance service providers
  • Managed service providers

Report Objectives

  • To define, describe, and forecast the cloud AI market based on offering (infrastructure [Cloud AI Infrastructure, AI and ML Platforms, MLOPS, and Lifecycle Management], AI-as-a-service), technology type, hosting type, organization size, business function, vertical, and region
  • To forecast the market size of the five major regional segments: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
  • To strategically analyze the market subsegments concerning individual growth trends, prospects, and contributions to the total market
  • To provide detailed information related to the significant factors influencing the growth of the market (drivers, restraints, opportunities, and challenges)
  • To strategically analyze macro and micro markets for growth trends, prospects, and their contributions to the overall market
  • To analyze industry trends, patents and innovations, and pricing data related to the market
  • To analyze the opportunities in the market for stakeholders and provide details of the competitive landscape for prominent players
  • To analyze the impact of AI/GenAI on the cloud AI market
  • To profile key players in the market and comprehensively analyze their market share/ranking and core competencies.
  • To track and analyze competitive developments, such as mergers & acquisitions, product launches and enhancements, and partnerships & collaborations in the market.

Available Customizations

MarketsandMarkets provides customizations based on the company's unique requirements using market data. The following customization options are available for the report:

Product Analysis

  • The product matrix provides a detailed comparison of each company's portfolio.

Geographic Analysis

  • Further breakup of the cloud AI market

Company Information

  • Detailed analysis and profiling of five additional market players

Previous Versions of this Report

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Growth opportunities and latent adjacency in Cloud AI Market

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