Industry: Service & Software
Published Date: 2024-11-19
Pages: 127 Pages
Report ld: 3381974
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Machine Learning Market Size(US$)

CAGR 2024-2030
37.3%
Market Size,2030
USD 187,750
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global Machine Learning revenue was US$ 21040 million in 2023 and is forecast to a readjusted size of US$ 187750 million by 2030 with a CAGR of 37.3% during the review period (2024-2030).
In United States the Machine Learning revenue is expected to grow from US$ million in 2023 to US$ million by 2030, at a CAGR of % during the forecast period (2024-2030).
This report focuses on global and United States Machine Learning market, also covers the segmentation data of other regions in regional level and county level.
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.
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.
The machine learning market is poised for significant growth, driven by a confluence of factors, including the expansion of data, advances in algorithms, a growing need for automation, and industry-specific applications. As organizations across various sectors increasingly recognize the benefits of machine learning, investments in this technology will likely continue to rise, leading to innovative applications and new market opportunities in the future. With ongoing advancements and increasing integration with other technologies, machine learning is set to play a pivotal role in transforming industries and businesses.
Global Machine Learning Scope and Market Size
Machine Learning market is segmented in regional and country level, by players, by Type, and by Application. Players, stakeholders, and other participants in the global Machine Learning market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application for the period 2019-2030.
For United States market, this report focuses on the Machine Learning market size by players, by Type, and by Application, for the period 2019-2030. The key players include the global and local players which play important roles in United States.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces Machine Learning definition, global market size, United States market size, United States percentage in global market. 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 2: Provides the analysis of various market segments by Type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 3: Provides the analysis of various market segments by Application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 4: Detailed analysis of Machine Learning companies’ competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Revenue of Machine Learning in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space of each country in the world.
Chapter 6: Americas by Type, by Application and by country, revenue for each segment.
Chapter 7: EMEA by Type, by Application and by region, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: APAC (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Machine Learning revenue, gross margin, and recent development, etc.
Chapter 11: Analyst's Viewpoints/Conclusion
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Study Coverage
1.1 Machine Learning Product Introduction
1.2 Global Machine Learning Outlook, 2019 VS 2023 VS 2030
1.2.1 Global Machine Learning Market Size for the Year 2019-2030
1.2.2 United States Machine Learning Market Size for the Year 2019-2030
1.3 Machine Learning Market Size, United States VS Global, 2019 VS 2023 VS 2030
1.3.1 The Market Share of United States Machine Learning in Global, 2019 VS 2023 VS 2030
1.3.2 The Growth Rate of Machine Learning Market Size, United States VS Global, 2019 VS 2023 VS 2030
1.4 Machine Learning Market Dynamics
1.4.1 Machine Learning Industry Trends
1.4.2 Machine Learning Market Drivers
1.4.3 Machine Learning Market Challenges
1.4.4 Machine Learning Market Restraints
1.5 Assumptions and Limitations
1.6 Study Objectives
1.7 Years Considered
2 Machine Learning by Type
2.1 Machine Learning Market by Type
2.1.1 Supervised Learning
2.1.2 Semi-supervised Learning
2.1.3 Unsupervised Learning
2.1.4 Reinforcement Learning
2.2 Global Machine Learning Market Size by Type (2019, 2023 & 2030)
2.3 Global Machine Learning Market Size by Type (2019-2030)
2.4 United States Machine Learning Market Size by Type (2019, 2023 & 2030)
2.5 United States Machine Learning Market Size by Type (2019-2030)
3 Machine Learning by Application
3.1 Machine Learning Market by Application
3.1.1 Marketing and Advertising
3.1.2 Fraud Detection and Risk Management
3.1.3 Computer Vision
3.1.4 Security and Surveillance
3.1.5 Predictive Analytics
3.1.6 Augmented and Virtual Reality
3.1.7 Others
3.2 Global Machine Learning Market Size, by Application (2019, 2023 & 2030)
3.3 Global Machine Learning Market Size by Application (2019-2030)
3.4 United States Machine Learning Market Size by Application (2019, 2023 & 2030)
3.5 United States Machine Learning Market Size by Application (2019-2030)
4 Global Machine Learning Competitor Landscape by Company
4.1 Global Machine Learning Market Size by Company
4.1.1 Global Key Companies of Machine Learning, Ranked by Revenue (2023)
4.1.2 Global Machine Learning Revenue by Player (2019-2024)
4.2 Global Machine Learning Concentration Ratio (CR)
4.2.1 Machine Learning Market Concentration Ratio (CR) (2019-2024)
4.2.2 Global Top 5 and Top 10 Largest Companies of Machine Learning in 2023
4.2.3 Global Machine Learning Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
4.3 Global Key Players of Machine Learning Head office and Area Served
4.4 Global Key Players of Machine Learning, Product and Application
4.5 Global Key Players of Machine Learning, Date of Enter into This Industry
4.6 Companies Mergers & Acquisitions, Expansion Plans
4.7 United States Machine Learning Market Size by Company
4.7.1 Key Players of Machine Learning in United States, Ranked by Revenue (2023)
4.7.2 United States Machine Learning Revenue by Players (2022, 2023 & 2024)
5 Global Machine Learning Market Size by Region
5.1 Global Machine Learning Market Size by Region: 2019 VS 2023 VS 2030
5.2 Global Machine Learning Market Size by Region (2019-2030)
5.2.1 Global Machine Learning Market Size by Region: 2019-2024
5.2.2 Global Machine Learning Market Size by Region: 2025-2030
6 Americas
6.1 Americas Machine Learning Market Size YoY Growth 2019-2030
6.2 Americas Machine Learning Market Size by Type
6.2.1 Americas Machine Learning Market Size by Type (2019-2024)
6.2.2 Americas Machine Learning Market Size by Type (2025-2030)
6.2.3 Americas Machine Learning Market Share by Type (2019-2030)
6.3 Americas Machine Learning Market Size by Application
6.3.1 Americas Machine Learning Market Size by Application (2019-2024)
6.3.2 Americas Machine Learning Market Size by Application (2025-2030)
6.3.3 Americas Machine Learning Market Share by Application (2019-2030)
6.4 Americas Machine Learning Market Facts & Figures by Country (2019, 2023 & 2030)
6.4.1 United States
6.4.2 Canada
6.4.3 Mexico
6.4.4 Brazil
7 EMEA
7.1 EMEA Machine Learning Market Size YoY Growth 2019-2030
7.2 EMEA Machine Learning Market Size by Type
7.2.1 EMEA Machine Learning Market Size by Type (2019-2024)
7.2.2 EMEA Machine Learning Market Size by Type (2025-2030)
7.2.3 EMEA Machine Learning Market Share by Type (2019-2030)
7.3 EMEA Machine Learning Market Size by Application
7.3.1 EMEA Machine Learning Market Size by Application (2019-2024)
7.3.2 EMEA Machine Learning Market Size by Application (2025-2030)
7.3.3 EMEA Machine Learning Market Share by Application (2019-2030)
7.4 EMEA Machine Learning Market Facts & Figures by Region (2019, 2023 & 2030)
7.4.1 Europe
7.4.2 Middle East
7.4.3 Africa
8 China
8.1 China Machine Learning Market Size by Type
8.1.1 China Machine Learning Market Size by Type (2019-2024)
8.1.2 China Machine Learning Market Size by Type (2025-2030)
8.1.3 China Machine Learning Market Share by Type (2019-2030)
8.2 China Machine Learning Market Size by Application
8.2.1 China Machine Learning Market Size by Application (2019-2024)
8.2.2 China Machine Learning Market Size by Application (2025-2030)
8.2.3 China Machine Learning Market Share by Application (2019-2030)
9 APAC (excluding China)
9.1 APAC Machine Learning Market Size YoY Growth 2019-2030
9.2 APAC Machine Learning Market Size by Type
9.2.1 APAC Machine Learning Market Size by Type (2019-2024)
9.2.2 APAC Machine Learning Market Size by Type (2025-2030)
9.2.3 APAC Machine Learning Market Share by Type (2019-2030)
9.3 APAC Machine Learning Market Size by Application
9.3.1 APAC Machine Learning Market Size by Application (2019-2024)
9.3.2 APAC Machine Learning Market Size by Application (2025-2030)
9.3.3 APAC Machine Learning Market Share by Application (2019-2030)
9.4 APAC Machine Learning Market Facts & Figures by Region (2019, 2023 & 2030)
9.4.1 Japan
9.4.2 South Korea
9.4.3 China Taiwan
9.4.4 ASEAN
9.4.5 India
10 Key Players Profiles
10.1 IBM
10.1.1 IBM Company Details
10.1.2 IBM Business Overview
10.1.3 IBM Machine Learning Introduction
10.1.4 IBM Revenue in Machine Learning Business (2019-2024)
10.1.5 IBM Recent Development
10.2 Dell
10.2.1 Dell Company Details
10.2.2 Dell Business Overview
10.2.3 Dell Machine Learning Introduction
10.2.4 Dell Revenue in Machine Learning Business (2019-2024)
10.2.5 Dell Recent Development
10.3 HPE
10.3.1 HPE Company Details
10.3.2 HPE Business Overview
10.3.3 HPE Machine Learning Introduction
10.3.4 HPE Revenue in Machine Learning Business (2019-2024)
10.3.5 HPE Recent Development
10.4 Oracle
10.4.1 Oracle Company Details
10.4.2 Oracle Business Overview
10.4.3 Oracle Machine Learning Introduction
10.4.4 Oracle Revenue in Machine Learning Business (2019-2024)
10.4.5 Oracle Recent Development
10.5 Google
10.5.1 Google Company Details
10.5.2 Google Business Overview
10.5.3 Google Machine Learning Introduction
10.5.4 Google Revenue in Machine Learning Business (2019-2024)
10.5.5 Google Recent Development
10.6 SAP
10.6.1 SAP Company Details
10.6.2 SAP Business Overview
10.6.3 SAP Machine Learning Introduction
10.6.4 SAP Revenue in Machine Learning Business (2019-2024)
10.6.5 SAP Recent Development
10.7 SAS Institute
10.7.1 SAS Institute Company Details
10.7.2 SAS Institute Business Overview
10.7.3 SAS Institute Machine Learning Introduction
10.7.4 SAS Institute Revenue in Machine Learning Business (2019-2024)
10.7.5 SAS Institute Recent Development
10.8 Fair Isaac Corporation (FICO)
10.8.1 Fair Isaac Corporation (FICO) Company Details
10.8.2 Fair Isaac Corporation (FICO) Business Overview
10.8.3 Fair Isaac Corporation (FICO) Machine Learning Introduction
10.8.4 Fair Isaac Corporation (FICO) Revenue in Machine Learning Business (2019-2024)
10.8.5 Fair Isaac Corporation (FICO) Recent Development
10.9 Baidu
10.9.1 Baidu Company Details
10.9.2 Baidu Business Overview
10.9.3 Baidu Machine Learning Introduction
10.9.4 Baidu Revenue in Machine Learning Business (2019-2024)
10.9.5 Baidu Recent Development
10.10 Intel
10.10.1 Intel Company Details
10.10.2 Intel Business Overview
10.10.3 Intel Machine Learning Introduction
10.10.4 Intel Revenue in Machine Learning Business (2019-2024)
10.10.5 Intel Recent Development
10.11 Amazon Web Services
10.11.1 Amazon Web Services Company Details
10.11.2 Amazon Web Services Business Overview
10.11.3 Amazon Web Services Machine Learning Introduction
10.11.4 Amazon Web Services Revenue in Machine Learning Business (2019-2024)
10.11.5 Amazon Web Services Recent Development
10.12 Microsoft
10.12.1 Microsoft Company Details
10.12.2 Microsoft Business Overview
10.12.3 Microsoft Machine Learning Introduction
10.12.4 Microsoft Revenue in Machine Learning Business (2019-2024)
10.12.5 Microsoft Recent Development
10.13 Yottamine Analytics
10.13.1 Yottamine Analytics Company Details
10.13.2 Yottamine Analytics Business Overview
10.13.3 Yottamine Analytics Machine Learning Introduction
10.13.4 Yottamine Analytics Revenue in Machine Learning Business (2019-2024)
10.13.5 Yottamine Analytics Recent Development
10.14 H2O.ai
10.14.1 H2O.ai Company Details
10.14.2 H2O.ai Business Overview
10.14.3 H2O.ai Machine Learning Introduction
10.14.4 H2O.ai Revenue in Machine Learning Business (2019-2024)
10.14.5 H2O.ai Recent Development
10.15 Databricks
10.15.1 Databricks Company Details
10.15.2 Databricks Business Overview
10.15.3 Databricks Machine Learning Introduction
10.15.4 Databricks Revenue in Machine Learning Business (2019-2024)
10.15.5 Databricks Recent Development
10.16 BigML
10.16.1 BigML Company Details
10.16.2 BigML Business Overview
10.16.3 BigML Machine Learning Introduction
10.16.4 BigML Revenue in Machine Learning Business (2019-2024)
10.16.5 BigML Recent Development
10.17 Dataiku
10.17.1 Dataiku Company Details
10.17.2 Dataiku Business Overview
10.17.3 Dataiku Machine Learning Introduction
10.17.4 Dataiku Revenue in Machine Learning Business (2019-2024)
10.17.5 Dataiku Recent Development
10.18 Veritone
10.18.1 Veritone Company Details
10.18.2 Veritone Business Overview
10.18.3 Veritone Machine Learning Introduction
10.18.4 Veritone Revenue in Machine Learning Business (2019-2024)
10.18.5 Veritone Recent Development
11 Research Findings and Conclusion
12 Appendix
12.1 Research Methodology
12.1.1 Methodology/Research Approach
12.1.1.1 Research Programs/Design
12.1.1.2 Market Size Estimation
12.1.1.3 Market Breakdown and Data Triangulation
12.1.2 Data Source
12.1.2.1 Secondary Sources
12.1.2.2 Primary Sources
12.2 Author Details
12.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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