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Synopsis
Machine learning (ML) is the study of algorithms and mathematical models that computer systems use to progressively improve their performance on a specific task.Machine learning (ML) is a discipline of artificial intelligence (AI) that provides machines with the ability to automatically learn from data and past experiences while identifying patterns to make predictions with minimal human intervention.Machine learning (ML) methods enable computers to operate autonomously without explicit programming. ML applications are fed with new data, and they can independently learn, grow, develop, and adapt.
The global Machine Learning market was valued at US$ 15460 million in 2023 and is anticipated to reach US$ 140610 million by 2030, witnessing a CAGR of 37.3% during the forecast period 2024-2030.
Global top five manufacturers of Machine Learning occupied for a share over 30 percent, key players are IBM, Dell, HPE, Oracle and Google, etc. North America is the largest market of Machine Learning, has a share nearly 40%, followed by Europe.
This report aims to provide a comprehensive presentation of the global market for Machine Learning, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Machine Learning.
Report Scope
The Machine Learning market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Machine Learning market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Machine Learning companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company (Partial List)
- IBM
- Dell
- HPE
- Oracle
- SAP
- SAS Institute
- Fair Isaac Corporation (FICO)
- Baidu
- Intel
- Amazon Web Services
- Microsoft
- Yottamine Analytics
- H2O.ai
- Databricks
- BigML
- Dataiku
- Veritone
Segment by Type
- Supervised Learning
- Semi-supervised Learning
- Unsupervised Learning
- Reinforcement Learning
Segment by Application
- Marketing and Advertising
- Fraud Detection and Risk Management
- Computer Vision
- Security and Surveillance
- Predictive Analytics
- Augmented and Virtual Reality
- Others
By Region
- North America (United States, Canada)
- Europe (Germany, France, U.K., Italy, Russia)
- Asia-Pacific (China, Japan, South Korea, India, Australia, China Taiwan, Indonesia, Thailand, Malaysia)
- Latin America (Mexico, Brazil, Argentina)
- Middle East & Africa (Turkey, Saudi Arabia, UAE)
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Machine Learning companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Learning Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Supervised Learning
1.2.3 Semi-supervised Learning
1.2.4 Unsupervised Learning
1.2.5 Reinforcement Learning
1.3 Market by Application
1.3.1 Global Machine Learning Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Marketing and Advertising
1.3.3 Fraud Detection and Risk Management
1.3.4 Computer Vision
1.3.5 Security and Surveillance
1.3.6 Predictive Analytics
1.3.7 Augmented and Virtual Reality
1.3.8 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning Market Perspective (2019-2030)
2.2 Machine Learning Growth Trends by Region
2.2.1 Global Machine Learning Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Machine Learning Historic Market Size by Region (2019-2024)
2.2.3 Machine Learning Forecasted Market Size by Region (2025-2030)
2.3 Machine Learning Market Dynamics
2.3.1 Machine Learning Industry Trends
2.3.2 Machine Learning Market Drivers
2.3.3 Machine Learning Market Challenges
2.3.4 Machine Learning Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Learning Players by Revenue
3.1.1 Global Top Machine Learning Players by Revenue (2019-2024)
3.1.2 Global Machine Learning Revenue Market Share by Players (2019-2024)
3.2 Global Machine Learning Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine Learning Revenue
3.4 Global Machine Learning Market Concentration Ratio
3.4.1 Global Machine Learning Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning Revenue in 2023
3.5 Machine Learning Key Players Head office and Area Served
3.6 Key Players Machine Learning Product Solution and Service
3.7 Date of Enter into Machine Learning Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning Breakdown Data by Type
4.1 Global Machine Learning Historic Market Size by Type (2019-2024)
4.2 Global Machine Learning Forecasted Market Size by Type (2025-2030)
5 Machine Learning Breakdown Data by Application
5.1 Global Machine Learning Historic Market Size by Application (2019-2024)
5.2 Global Machine Learning Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Learning Market Size (2019-2030)
6.2 North America Machine Learning Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Machine Learning Market Size by Country (2019-2024)
6.4 North America Machine Learning Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning Market Size (2019-2030)
7.2 Europe Machine Learning Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Machine Learning Market Size by Country (2019-2024)
7.4 Europe Machine Learning Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Machine Learning Market Size (2019-2030)
8.2 Asia-Pacific Machine Learning Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Machine Learning Market Size by Region (2019-2024)
8.4 Asia-Pacific Machine Learning Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Machine Learning Market Size (2019-2030)
9.2 Latin America Machine Learning Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Machine Learning Market Size by Country (2019-2024)
9.4 Latin America Machine Learning Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning Market Size (2019-2030)
10.2 Middle East & Africa Machine Learning Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Machine Learning Market Size by Country (2019-2024)
10.4 Middle East & Africa Machine Learning Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Machine Learning Introduction
11.1.4 IBM Revenue in Machine Learning Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Dell
11.2.1 Dell Company Detail
11.2.2 Dell Business Overview
11.2.3 Dell Machine Learning Introduction
11.2.4 Dell Revenue in Machine Learning Business (2019-2024)
11.2.5 Dell Recent Development
11.3 HPE
11.3.1 HPE Company Detail
11.3.2 HPE Business Overview
11.3.3 HPE Machine Learning Introduction
11.3.4 HPE Revenue in Machine Learning Business (2019-2024)
11.3.5 HPE Recent Development
11.4 Oracle
11.4.1 Oracle Company Detail
11.4.2 Oracle Business Overview
11.4.3 Oracle Machine Learning Introduction
11.4.4 Oracle Revenue in Machine Learning Business (2019-2024)
11.4.5 Oracle Recent Development
11.5 Google
11.5.1 Google Company Detail
11.5.2 Google Business Overview
11.5.3 Google Machine Learning Introduction
11.5.4 Google Revenue in Machine Learning Business (2019-2024)
11.5.5 Google Recent Development
11.6 SAP
11.6.1 SAP Company Detail
11.6.2 SAP Business Overview
11.6.3 SAP Machine Learning Introduction
11.6.4 SAP Revenue in Machine Learning Business (2019-2024)
11.6.5 SAP Recent Development
11.7 SAS Institute
11.7.1 SAS Institute Company Detail
11.7.2 SAS Institute Business Overview
11.7.3 SAS Institute Machine Learning Introduction
11.7.4 SAS Institute Revenue in Machine Learning Business (2019-2024)
11.7.5 SAS Institute Recent Development
11.8 Fair Isaac Corporation (FICO)
11.8.1 Fair Isaac Corporation (FICO) Company Detail
11.8.2 Fair Isaac Corporation (FICO) Business Overview
11.8.3 Fair Isaac Corporation (FICO) Machine Learning Introduction
11.8.4 Fair Isaac Corporation (FICO) Revenue in Machine Learning Business (2019-2024)
11.8.5 Fair Isaac Corporation (FICO) Recent Development
11.9 Baidu
11.9.1 Baidu Company Detail
11.9.2 Baidu Business Overview
11.9.3 Baidu Machine Learning Introduction
11.9.4 Baidu Revenue in Machine Learning Business (2019-2024)
11.9.5 Baidu Recent Development
11.10 Intel
11.10.1 Intel Company Detail
11.10.2 Intel Business Overview
11.10.3 Intel Machine Learning Introduction
11.10.4 Intel Revenue in Machine Learning Business (2019-2024)
11.10.5 Intel Recent Development
11.11 Amazon Web Services
11.11.1 Amazon Web Services Company Detail
11.11.2 Amazon Web Services Business Overview
11.11.3 Amazon Web Services Machine Learning Introduction
11.11.4 Amazon Web Services Revenue in Machine Learning Business (2019-2024)
11.11.5 Amazon Web Services Recent Development
11.12 Microsoft
11.12.1 Microsoft Company Detail
11.12.2 Microsoft Business Overview
11.12.3 Microsoft Machine Learning Introduction
11.12.4 Microsoft Revenue in Machine Learning Business (2019-2024)
11.12.5 Microsoft Recent Development
11.13 Yottamine Analytics
11.13.1 Yottamine Analytics Company Detail
11.13.2 Yottamine Analytics Business Overview
11.13.3 Yottamine Analytics Machine Learning Introduction
11.13.4 Yottamine Analytics Revenue in Machine Learning Business (2019-2024)
11.13.5 Yottamine Analytics Recent Development
11.14 H2O.ai
11.14.1 H2O.ai Company Detail
11.14.2 H2O.ai Business Overview
11.14.3 H2O.ai Machine Learning Introduction
11.14.4 H2O.ai Revenue in Machine Learning Business (2019-2024)
11.14.5 H2O.ai Recent Development
11.15 Databricks
11.15.1 Databricks Company Detail
11.15.2 Databricks Business Overview
11.15.3 Databricks Machine Learning Introduction
11.15.4 Databricks Revenue in Machine Learning Business (2019-2024)
11.15.5 Databricks Recent Development
11.16 BigML
11.16.1 BigML Company Detail
11.16.2 BigML Business Overview
11.16.3 BigML Machine Learning Introduction
11.16.4 BigML Revenue in Machine Learning Business (2019-2024)
11.16.5 BigML Recent Development
11.17 Dataiku
11.17.1 Dataiku Company Detail
11.17.2 Dataiku Business Overview
11.17.3 Dataiku Machine Learning Introduction
11.17.4 Dataiku Revenue in Machine Learning Business (2019-2024)
11.17.5 Dataiku Recent Development
11.18 Veritone
11.18.1 Veritone Company Detail
11.18.2 Veritone Business Overview
11.18.3 Veritone Machine Learning Introduction
11.18.4 Veritone Revenue in Machine Learning Business (2019-2024)
11.18.5 Veritone Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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