PUBLISHER: TechNavio | PRODUCT CODE: 1915689
PUBLISHER: TechNavio | PRODUCT CODE: 1915689
Global Cloud Machine Learning Market 2025-2029
The global cloud machine learning market is forecasted to grow by USD 51444.6 mn during 2024-2029, accelerating at a CAGR of 36.7% during the forecast period. The report on the global cloud machine learning market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by escalating volume and complexity of data, increasing demand for ai-powered applications and automation, compelling cost-effectiveness and scalability of cloud platforms.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.
| Market Scope | |
|---|---|
| Base Year | 2025 |
| End Year | 2029 |
| Series Year | 2025-2029 |
| Growth Momentum | Accelerate |
| YOY 2025 | 32.1% |
| CAGR | 36.7% |
| Incremental Value | $51444.6 mn |
Technavio's global cloud machine learning market is segmented as below:
By Component
- Solutions
- Services
By Deployment
- Public cloud
- Hybrid cloud
- Private cloud
By Application
- Marketing and advertising analytics
- Fraud detection and risk management
- Predictive maintenance and demand forecasting
- Others
Geography
- North America
- US
- Canada
- Mexico
- APAC
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Europe
- Germany
- UK
- France
- Italy
- Spain
- The Netherlands
- South America
- Brazil
- Argentina
- Colombia
- Middle East and Africa
- UAE
- South Africa
- Turkey
- Rest of World (ROW)
This study identifies the pervasive integration of generative artificial intelligence as one of the prime reasons driving the global cloud machine learning market growth during the next few years. Also, ascendancy of machine learning operations and convergence of cloud and edge computing for AI applications will lead to sizable demand in the market.
The report on the global cloud machine learning market covers the following areas:
- Global cloud machine learning market sizing
- Global cloud machine learning market forecast
- Global cloud machine learning market industry analysis
The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global cloud machine learning market vendors that include Alibaba Group Holding Ltd., Amazon Web Services Inc., Anaconda Inc., Baidu Inc., Cisco Systems Inc., Cloudera Inc., DataRobot Inc., Dell Technologies Inc., Google LLC, Hewlett Packard, IBM Corp., Microsoft Corp., NVIDIA Corp., Open Text Corp., Oracle Corp., Salesforce Inc., SAP SE, Snowflake Inc., Tencent Holdings Ltd., Teradata Corp.. Also, the global cloud machine learning market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.
The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
- 1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by Component
- Executive Summary - Chart on Market Segmentation by Deployment
- Executive Summary - Chart on Market Segmentation by Application
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning
2 Technavio Analysis
- 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- 2.2 Criticality of inputs and Factors of differentiation
- 2.3 Factors of disruption
- 2.4 Impact of drivers and challenges
3 Market Landscape
- 3.1 Market ecosystem
- 3.2 Market characteristics
- 3.3 Value chain analysis
4 Market Sizing
- 4.1 Market definition
- 4.2 Market segment analysis
- Market segments
- 4.3 Market size 2024
- 4.4 Market outlook: Forecast for 2024-2029
5 Historic Market Size
- 5.1 Global Cloud Machine Learning Market 2019 - 2023
- Historic Market Size - Data Table on Global Cloud Machine Learning Market 2019 - 2023 ($ million)
- 5.2 Component segment analysis 2019 - 2023
- Historic Market Size - Component Segment 2019 - 2023 ($ million)
- 5.3 Deployment segment analysis 2019 - 2023
- Historic Market Size - Deployment Segment 2019 - 2023 ($ million)
- 5.4 Application segment analysis 2019 - 2023
- Historic Market Size - Application Segment 2019 - 2023 ($ million)
- 5.5 Geography segment analysis 2019 - 2023
- Historic Market Size - Geography Segment 2019 - 2023 ($ million)
- 5.6 Country segment analysis 2019 - 2023
- Historic Market Size - Country Segment 2019 - 2023 ($ million)
6 Five Forces Analysis
- 6.1 Five forces summary
- Five forces analysis - Comparison between 2024 and 2029
- 6.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2024 and 2029
- 6.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2024 and 2029
- 6.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2024 and 2029
- 6.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2024 and 2029
- 6.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2024 and 2029
- 6.7 Market condition
7 Market Segmentation by Component
- 7.1 Market segments
- 7.2 Comparison by Component
- 7.3 Solutions - Market size and forecast 2024-2029
- 7.4 Services - Market size and forecast 2024-2029
- 7.5 Market opportunity by Component
- Market opportunity by Component ($ million)
8 Market Segmentation by Deployment
- 8.1 Market segments
- 8.2 Comparison by Deployment
- 8.3 Public cloud - Market size and forecast 2024-2029
- 8.4 Hybrid cloud - Market size and forecast 2024-2029
- 8.5 Private cloud - Market size and forecast 2024-2029
- 8.6 Market opportunity by Deployment
- Market opportunity by Deployment ($ million)
9 Market Segmentation by Application
- 9.1 Market segments
- 9.2 Comparison by Application
- 9.3 Marketing and advertising analytics - Market size and forecast 2024-2029
- 9.4 Fraud detection and risk management - Market size and forecast 2024-2029
- 9.5 Predictive maintenance and demand forecasting - Market size and forecast 2024-2029
- 9.6 Others - Market size and forecast 2024-2029
- 9.7 Market opportunity by Application
- Market opportunity by Application ($ million)
10 Customer Landscape
- 10.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
11 Geographic Landscape
- 11.1 Geographic segmentation
- 11.2 Geographic comparison
- 11.3 North America - Market size and forecast 2024-2029
- 11.3.1 US - Market size and forecast 2024-2029
- 11.3.2 Canada - Market size and forecast 2024-2029
- 11.3.3 Mexico - Market size and forecast 2024-2029
- 11.4 APAC - Market size and forecast 2024-2029
- 11.4.1 China - Market size and forecast 2024-2029
- 11.4.2 Japan - Market size and forecast 2024-2029
- 11.4.3 India - Market size and forecast 2024-2029
- 11.4.4 South Korea - Market size and forecast 2024-2029
- 11.4.5 Australia - Market size and forecast 2024-2029
- 11.4.6 Indonesia - Market size and forecast 2024-2029
- 11.5 Europe - Market size and forecast 2024-2029
- 11.5.1 Germany - Market size and forecast 2024-2029
- 11.5.2 UK - Market size and forecast 2024-2029
- 11.5.3 France - Market size and forecast 2024-2029
- 11.5.4 Italy - Market size and forecast 2024-2029
- 11.5.5 Spain - Market size and forecast 2024-2029
- 11.5.6 The Netherlands - Market size and forecast 2024-2029
- 11.6 South America - Market size and forecast 2024-2029
- 11.6.1 Brazil - Market size and forecast 2024-2029
- 11.6.2 Argentina - Market size and forecast 2024-2029
- 11.6.3 Colombia - Market size and forecast 2024-2029
- 11.7 Middle East and Africa - Market size and forecast 2024-2029
- 11.7.1 UAE - Market size and forecast 2024-2029
- 11.7.2 Saudi Arabia - Market size and forecast 2024-2029
- 11.7.3 South Africa - Market size and forecast 2024-2029
- 11.7.4 Israel - Market size and forecast 2024-2029
- 11.7.5 Turkey - Market size and forecast 2024-2029
- 11.8 Market opportunity by geography
- Market opportunity by geography ($ million)
- Data Tables on Market opportunity by geography ($ million)
12 Drivers, Challenges, and Opportunity
- 12.1 Market drivers
- Escalating volume and complexity of data
- Increasing demand for AI-powered applications and automation
- Compelling cost-effectiveness and scalability of cloud platforms
- 12.2 Market challenges
- Data privacy, security, and governance complexities
- Persistent shortage of skilled professionals
- Managing escalating costs and demonstrating return on investment
- 12.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 12.4 Market opportunities
- Pervasive integration of generative artificial intelligence
- Ascendancy of machine learning operations
- Convergence of cloud and edge computing for AI applications
13 Competitive Landscape
- 13.1 Overview
- 13.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 13.3 Landscape disruption
- Overview on factors of disruption
- 13.4 Industry risks
- Impact of key risks on business
14 Competitive Analysis
- 14.1 Companies profiled
- Companies covered
- 14.2 Company ranking index
- Company ranking index
- 14.3 Market positioning of companies
- Matrix on companies position and classification
- 14.4 Alibaba Group Holding Ltd.
- Alibaba Group Holding Ltd. - Overview
- Alibaba Group Holding Ltd. - Business segments
- Alibaba Group Holding Ltd. - Key news
- Alibaba Group Holding Ltd. - Key offerings
- Alibaba Group Holding Ltd. - Segment focus
- SWOT
- 14.5 Amazon Web Services Inc.
- Amazon Web Services Inc. - Overview
- Amazon Web Services Inc. - Product / Service
- Amazon Web Services Inc. - Key news
- Amazon Web Services Inc. - Key offerings
- SWOT
- 14.6 Baidu Inc.
- Baidu Inc. - Overview
- Baidu Inc. - Business segments
- Baidu Inc. - Key offerings
- Baidu Inc. - Segment focus
- SWOT
- 14.7 Cisco Systems Inc.
- Cisco Systems Inc. - Overview
- Cisco Systems Inc. - Business segments
- Cisco Systems Inc. - Key news
- Cisco Systems Inc. - Key offerings
- Cisco Systems Inc. - Segment focus
- SWOT
- 14.8 Dell Technologies Inc.
- Dell Technologies Inc. - Overview
- Dell Technologies Inc. - Business segments
- Dell Technologies Inc. - Key news
- Dell Technologies Inc. - Key offerings
- Dell Technologies Inc. - Segment focus
- SWOT
- 14.9 Google LLC
- Google LLC - Overview
- Google LLC - Product / Service
- Google LLC - Key offerings
- SWOT
- 14.10 Hewlett Packard
- Hewlett Packard - Overview
- Hewlett Packard - Business segments
- Hewlett Packard - Key news
- Hewlett Packard - Key offerings
- Hewlett Packard - Segment focus
- SWOT
- 14.11 IBM Corp.
- IBM Corp. - Overview
- IBM Corp. - Business segments
- IBM Corp. - Key news
- IBM Corp. - Key offerings
- IBM Corp. - Segment focus
- SWOT
- 14.12 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
- 14.13 NVIDIA Corp.
- NVIDIA Corp. - Overview
- NVIDIA Corp. - Business segments
- NVIDIA Corp. - Key news
- NVIDIA Corp. - Key offerings
- NVIDIA Corp. - Segment focus
- SWOT
- 14.14 Oracle Corp.
- Oracle Corp. - Overview
- Oracle Corp. - Business segments
- Oracle Corp. - Key news
- Oracle Corp. - Key offerings
- Oracle Corp. - Segment focus
- SWOT
- 14.15 Salesforce Inc.
- Salesforce Inc. - Overview
- Salesforce Inc. - Product / Service
- Salesforce Inc. - Key news
- Salesforce Inc. - Key offerings
- SWOT
- 14.16 SAP SE
- SAP SE - Overview
- SAP SE - Business segments
- SAP SE - Key news
- SAP SE - Key offerings
- SAP SE - Segment focus
- SWOT
- 14.17 Snowflake Inc.
- Snowflake Inc. - Overview
- Snowflake Inc. - Product / Service
- Snowflake Inc. - Key offerings
- SWOT
- 14.18 Tencent Holdings Ltd.
- Tencent Holdings Ltd. - Overview
- Tencent Holdings Ltd. - Business segments
- Tencent Holdings Ltd. - Key news
- Tencent Holdings Ltd. - Key offerings
- Tencent Holdings Ltd. - Segment focus
- SWOT
15 Appendix
- 15.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 15.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 15.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 15.4 Research methodology
- Research methodology
- 15.5 Data procurement
- Information sources
- 15.6 Data validation
- Data validation
- 15.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 15.8 Data synthesis
- Data synthesis
- 15.9 360 degree market analysis
- 360 degree market analysis
- 15.10 List of abbreviations
- List of abbreviations
