PUBLISHER: TechNavio | PRODUCT CODE: 1915694
PUBLISHER: TechNavio | PRODUCT CODE: 1915694
Global Machine Learning (ML) Platforms Market 2025-2029
The global machine learning (ml) platforms market is forecasted to grow by USD 37859.3 mn during 2024-2029, accelerating at a CAGR of 25.1% during the forecast period. The report on the global machine learning (ml) platforms 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, democratization of artificial intelligence through cloud computing, increasing business integration and clear return on investment .
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 | 21.9% |
| CAGR | 25.1% |
| Incremental Value | $37859.3 mn |
Technavio's global machine learning (ml) platforms market is segmented as below:
By Deployment
- Cloud-based
- On-premises
- Hybrid
By Application
- Predictive analytics
- Computer vision
- Natural language processing
- Recommendation systems
- Others
By End-User
- BFSI
- Healthcare and life science
- Retail and e-commerce
- Manufacturing
- Others
Geography
- North America
- US
- Canada
- Mexico
- APAC
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Europe
- Germany
- UK
- France
- Italy
- Spain
- The Netherlands
- Middle East and Africa
- UAE
- South Africa
- Turkey
- South America
- Brazil
- Argentina
- Colombia
- Rest of World (ROW)
This study identifies the mainstream adoption of mlops as one of the prime reasons driving the global machine learning (ml) platforms market growth during the next few years. Also, integration of generative AI and large language models and increasing focus on responsible AI and explainability will lead to sizable demand in the market.
The report on the global machine learning (ml) platforms market covers the following areas:
- Global machine learning (ml) platforms market sizing
- Global machine learning (ml) platforms market forecast
- Global machine learning (ml) platforms 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 machine learning (ml) platforms market vendors that include Altair Engineering Inc., Alteryx Inc., Amazon Web Services Inc., Anaconda Inc., Baidu Inc., Databricks Inc., DataRobot Inc., Google LLC, H2O.ai Inc., Hugging Face, Intel Corp., IBM Corp., KNIME AG, Microsoft Corp., NVIDIA Corp., Oracle Corp., SAP SE, SAS Institute Inc., The MathWorks Inc., TIBCO Software Inc.. Also, the global machine learning (ml) platforms 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 Deployment
- Executive Summary - Chart on Market Segmentation by Application
- Executive Summary - Chart on Market Segmentation by End-user
- 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 Machine Learning (ML) Platforms Market 2019 - 2023
- Historic Market Size - Data Table on Global Machine Learning (ML) Platforms Market 2019 - 2023 ($ million)
- 5.2 Deployment segment analysis 2019 - 2023
- Historic Market Size - Deployment Segment 2019 - 2023 ($ million)
- 5.3 Application segment analysis 2019 - 2023
- Historic Market Size - Application Segment 2019 - 2023 ($ million)
- 5.4 End-user segment analysis 2019 - 2023
- Historic Market Size - End-user 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 Deployment
- 7.1 Market segments
- 7.2 Comparison by Deployment
- 7.3 Cloud-based - Market size and forecast 2024-2029
- 7.4 On-premises - Market size and forecast 2024-2029
- 7.5 Hybrid - Market size and forecast 2024-2029
- 7.6 Market opportunity by Deployment
- Market opportunity by Deployment ($ million)
8 Market Segmentation by Application
- 8.1 Market segments
- 8.2 Comparison by Application
- 8.3 Predictive analytics - Market size and forecast 2024-2029
- 8.4 Computer vision - Market size and forecast 2024-2029
- 8.5 Natural language processing - Market size and forecast 2024-2029
- 8.6 Recommendation systems - Market size and forecast 2024-2029
- 8.7 Others - Market size and forecast 2024-2029
- 8.8 Market opportunity by Application
- Market opportunity by Application ($ million)
9 Market Segmentation by End-user
- 9.1 Market segments
- 9.2 Comparison by End-user
- 9.3 BFSI - Market size and forecast 2024-2029
- 9.4 Healthcare and life science - Market size and forecast 2024-2029
- 9.5 Retail and e-commerce - Market size and forecast 2024-2029
- 9.6 Manufacturing - Market size and forecast 2024-2029
- 9.7 Others - Market size and forecast 2024-2029
- 9.8 Market opportunity by End-user
- Market opportunity by End-user ($ 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 Middle East and Africa - Market size and forecast 2024-2029
- 11.6.1 Saudi Arabia - Market size and forecast 2024-2029
- 11.6.2 UAE - Market size and forecast 2024-2029
- 11.6.3 South Africa - Market size and forecast 2024-2029
- 11.6.4 Israel - Market size and forecast 2024-2029
- 11.6.5 Turkey - Market size and forecast 2024-2029
- 11.7 South America - Market size and forecast 2024-2029
- 11.7.1 Brazil - Market size and forecast 2024-2029
- 11.7.2 Argentina - Market size and forecast 2024-2029
- 11.7.3 Colombia - 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
- Democratization of artificial intelligence through cloud computing
- Increasing business integration and clear return on investment
- 12.2 Market challenges
- Persistent scarcity of skilled talent
- Concerns surrounding data quality, governance, and security
- High cost and complexity of development and infrastructure
- 12.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 12.4 Market opportunities
- Mainstream adoption of MLOps
- Integration of generative AI and large language models
- Increasing focus on responsible AI and explainability
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 Altair Engineering Inc.
- Altair Engineering Inc. - Overview
- Altair Engineering Inc. - Business segments
- Altair Engineering Inc. - Key news
- Altair Engineering Inc. - Key offerings
- Altair Engineering Inc. - Segment focus
- SWOT
- 14.5 Alteryx Inc.
- Alteryx Inc. - Overview
- Alteryx Inc. - Product / Service
- Alteryx Inc. - Key news
- Alteryx Inc. - Key offerings
- SWOT
- 14.6 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
- 14.7 Baidu Inc.
- Baidu Inc. - Overview
- Baidu Inc. - Business segments
- Baidu Inc. - Key offerings
- Baidu Inc. - Segment focus
- SWOT
- 14.8 Databricks Inc.
- Databricks Inc. - Overview
- Databricks Inc. - Product / Service
- Databricks Inc. - Key offerings
- SWOT
- 14.9 DataRobot Inc.
- DataRobot Inc. - Overview
- DataRobot Inc. - Product / Service
- DataRobot Inc. - Key offerings
- SWOT
- 14.10 Google LLC
- Google LLC - Overview
- Google LLC - Product / Service
- Google LLC - Key offerings
- SWOT
- 14.11 H2O.ai Inc.
- H2O.ai Inc. - Overview
- H2O.ai Inc. - Product / Service
- H2O.ai Inc. - Key offerings
- SWOT
- 14.12 Intel Corp.
- Intel Corp. - Overview
- Intel Corp. - Business segments
- Intel Corp. - Key news
- Intel Corp. - Key offerings
- Intel Corp. - Segment focus
- SWOT
- 14.13 IBM Corp.
- IBM Corp. - Overview
- IBM Corp. - Business segments
- IBM Corp. - Key news
- IBM Corp. - Key offerings
- IBM Corp. - Segment focus
- SWOT
- 14.14 KNIME AG
- KNIME AG - Overview
- KNIME AG - Product / Service
- KNIME AG - Key offerings
- SWOT
- 14.15 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
- 14.16 NVIDIA Corp.
- NVIDIA Corp. - Overview
- NVIDIA Corp. - Business segments
- NVIDIA Corp. - Key news
- NVIDIA Corp. - Key offerings
- NVIDIA Corp. - Segment focus
- SWOT
- 14.17 SAS Institute Inc.
- SAS Institute Inc. - Overview
- SAS Institute Inc. - Product / Service
- SAS Institute Inc. - Key news
- SAS Institute Inc. - Key offerings
- SWOT
- 14.18 TIBCO Software Inc.
- TIBCO Software Inc. - Overview
- TIBCO Software Inc. - Product / Service
- TIBCO Software Inc. - Key offerings
- 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
