Global Machine Learning Competitive Landscape Professional Research Report 2024

Report Format: PDF   |   Report ID: 5675285   |   Published Date: July 2024   |   Pages:  170+  

Research Summary
Machine learning is a subset of artificial intelligence (AI) that involves designing algorithms and models capable of automatically learning from data, identifying patterns, and making predictions or taking actions without being explicitly programmed. It is centered around the idea that machines can learn from experience and improve their performance over time by analyzing large amounts of data. Machine learning algorithms utilize mathematical and statistical techniques to recognize patterns, extract meaningful insights, and make informed decisions or predictions. These algorithms are trained on historical data, where they iteratively adjust their parameters to optimize their performance and generalize to new, unseen data. Machine learning has applications in various fields, including finance, healthcare, image recognition, natural language processing, and autonomous vehicles, among others, and continues to advance the development of AI systems.
According to DIResearch's in-depth investigation and research, the global Machine Learning market size will reach US$ Million in 2024, and is expected to reach US$ Million in 2030, with a CAGR of % (2025-2030). Among them, the China market has changed rapidly in the past few years. The market size in 2024 will be US$ Million, accounting for approximately % of the world. It is expected to reach US$ Million in 2030, and the global share will reach %.
The major global manufacturers of Machine Learning include IBM, Dell, HPE, Oracle, Google, SAP, SAS Institute, Fair Isaac Corporation (FICO), Baidu, Intel, Amazon Web Services, Yottamine Analytics, Microsoft, H2O.ai, Databricks, BigML, Dataiku, Veritone etc. The global players competition landscape in this report is divided into three tiers. The first tiers is the global leading enterprise, which occupies a major market share, is in a leading position in the industry, has strong competitiveness and influence, and has a large revenue scale; the second tiers has a certain share and popularity in the market, actively follows the industry leaders in product, service or technological innovation, and has a medium revenue scale; the third tiers has a smaller share in the market, has a lower brand awareness, mainly focuses on the local market, and has a relatively small revenue scale.
This report studies the market size, price trends and future development prospects of Machine Learning. Focus on analysing the market share, product portfolio, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Machine Learning market. The report data covers historical data from 2019 to 2023, base year in 2024 and forecast data from 2025 to 2030.
The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the Machine Learning market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Machine Learning industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Manufacturers of Machine Learning Include:
IBM
Dell
HPE
Oracle
Google
SAP
SAS Institute
Fair Isaac Corporation (FICO)
Baidu
Intel
Amazon Web Services
Yottamine Analytics
Microsoft
H2O.ai
Databricks
BigML
Dataiku
Veritone
Machine Learning Product Segment Include:
Supervised Learning
Semi-supervised Learning
Unsupervised Learning
Reinforcement Learning
Machine Learning Product Application Include:
Marketing and Advertising
Fraud Detection and Risk Management
Computer Vision
Security and Surveillance
Predictive Analytics
Augmented and Virtual Reality
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends
Chapter 2: Global Machine Learning Industry PESTEL Analysis
Chapter 3: Global Machine Learning Industry Porter's Five Forces Analysis
Chapter 4: Global Machine Learning Major Regional Market Size and Forecast Analysis
Chapter 5: Global Machine Learning Market Size and Forecast by Type and Application Analysis
Chapter 6: North America Machine Learning Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 7: Europe Machine Learning Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 8: China Machine Learning Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 9: APAC (Excl. China) Machine Learning Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 10: Latin America Machine Learning Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 11: Middle East and Africa Machine Learning Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 12: Global Machine Learning Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers
Chapter 15: Research Findings and Conclusion
Chapter 16: Methodology and Data Sources
Table of Contents

1 Machine Learning Market Overview

1.1 Product Definition and Statistical Scope

1.2 Machine Learning Product by Type

1.2.1 Global Machine Learning Market Size by Type, 2023 VS 2024 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 Machine Learning Product by Application

1.3.1 Global Machine Learning Market Size by Application, 2023 VS 2024 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 Global Machine Learning Market Revenue Analysis (2019-2030)

1.5 Machine Learning Market Development Status and Trends

1.5.1 Machine Learning Industry Development Status Analysis

1.5.2 Machine Learning Industry Development Trends Analysis

2 Machine Learning Market PESTEL Analysis

2.1 Political Factors Analysis

2.2 Economic Factors Analysis

2.3 Social Factors Analysis

2.4 Technological Factors Analysis

2.5 Environmental Factors Analysis

2.6 Legal Factors Analysis

3 Machine Learning Market Porter's Five Forces Analysis

3.1 Competitive Rivalry

3.2 Threat of New Entrants

3.3 Bargaining Power of Suppliers

3.4 Bargaining Power of Buyers

3.5 Threat of Substitutes

4 Global Machine Learning Market Analysis by Regions

4.1 Machine Learning Overall Market: 2023 VS 2024 VS 2030

4.2 Global Machine Learning Revenue and Forecast Analysis (2019-2030)

4.2.1 Global Machine Learning Revenue and Market Share by Region (2019-2024)

4.2.2 Global Machine Learning Revenue Forecast by Region (2025-2030)

5 Global Machine Learning Market Size by Type and Application

5.1 Global Machine Learning Market Size by Type

5.2 Global Machine Learning Market Size by Application

6 North America

6.1 North America Machine Learning Market Size and Growth Rate Analysis (2019-2030)

6.2 North America Key Manufacturers Analysis

6.3 North America Machine Learning Market Size by Type

6.4 North America Machine Learning Market Size by Application

6.5 North America Machine Learning Market Size by Country

6.5.1 US

6.5.2 Canada

7 Europe

7.1 Europe Machine Learning Market Size and Growth Rate Analysis (2019-2030)

7.2 Europe Key Manufacturers Analysis

7.3 Europe Machine Learning Market Size by Type

7.4 Europe Machine Learning Market Size by Application

7.5 Europe Machine Learning Market Size by Country

7.5.1 Germany

7.5.2 France

7.5.3 United Kingdom

7.5.4 Italy

7.5.5 Spain

7.5.6 Benelux

8 China

8.1 China Machine Learning Market Size and Growth Rate Analysis (2019-2030)

8.2 China Key Manufacturers Analysis

8.3 China Machine Learning Market Size by Type

8.4 China Machine Learning Market Size by Application

9 APAC (excl. China)

9.1 APAC (excl. China) Machine Learning Market Size and Growth Rate Analysis (2019-2030)

9.2 APAC (excl. China) Key Manufacturers Analysis

9.3 APAC (excl. China) Machine Learning Market Size by Type

9.4 APAC (excl. China) Machine Learning Market Size by Application

9.5 APAC (excl. China) Machine Learning Market Size by Country

9.5.1 Japan

9.5.2 South Korea

9.5.3 India

9.5.4 Australia

9.5.5 Indonesia

9.5.6 Vietnam

9.5.7 Malaysia

9.5.8 Thailand

10 Latin America

10.1 Latin America Machine Learning Market Size and Growth Rate Analysis (2019-2030)

10.2 Latin America Key Manufacturers Analysis

10.3 Latin America Machine Learning Market Size by Type

10.4 Latin America Machine Learning Market Size by Application

10.5 Latin America Machine Learning Market Size by Country

10.5.1 Mecixo

10.5.2 Brazil

11 Middle East & Africa

11.1 Middle East & Africa Machine Learning Market Size and Growth Rate Analysis (2019-2030)

11.2 Middle East & Africa Key Manufacturers Analysis

11.3 Middle East & Africa Machine Learning Market Size by Type

11.4 Middle East & Africa Machine Learning Market Size by Application

11.5 Middle East & Africa Machine Learning Market Size by Country

11.5.1 Saudi Arabia

11.5.2 South Africa

12 Market Competition by Manufacturers

12.1 Global Machine Learning Market Revenue by Key Manufacturers (2020-2024)

12.2 Machine Learning Competitive Landscape Analysis and Market Dynamic

12.2.1 Machine Learning Competitive Landscape Analysis

12.2.2 Global Key Manufacturers Headquarter and Key Area Sales

12.2.3 Market Dynamic

13 Key Companies Analysis

13.1 IBM

13.1.1 IBM Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.1.2 IBM Machine Learning Product Portfolio

13.1.3 IBM Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.2 Dell

13.2.1 Dell Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.2.2 Dell Machine Learning Product Portfolio

13.2.3 Dell Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.3 HPE

13.3.1 HPE Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.3.2 HPE Machine Learning Product Portfolio

13.3.3 HPE Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.4 Oracle

13.4.1 Oracle Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.4.2 Oracle Machine Learning Product Portfolio

13.4.3 Oracle Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.5 Google

13.5.1 Google Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.5.2 Google Machine Learning Product Portfolio

13.5.3 Google Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.6 SAP

13.6.1 SAP Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.6.2 SAP Machine Learning Product Portfolio

13.6.3 SAP Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.7 SAS Institute

13.7.1 SAS Institute Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.7.2 SAS Institute Machine Learning Product Portfolio

13.7.3 SAS Institute Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.8 Fair Isaac Corporation (FICO)

13.8.1 Fair Isaac Corporation (FICO) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.8.2 Fair Isaac Corporation (FICO) Machine Learning Product Portfolio

13.8.3 Fair Isaac Corporation (FICO) Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.9 Baidu

13.9.1 Baidu Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.9.2 Baidu Machine Learning Product Portfolio

13.9.3 Baidu Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.10 Intel

13.10.1 Intel Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.10.2 Intel Machine Learning Product Portfolio

13.10.3 Intel Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.11 Amazon Web Services

13.11.1 Amazon Web Services Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.11.2 Amazon Web Services Machine Learning Product Portfolio

13.11.3 Amazon Web Services Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.12 Yottamine Analytics

13.12.1 Yottamine Analytics Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.12.2 Yottamine Analytics Machine Learning Product Portfolio

13.12.3 Yottamine Analytics Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.13 Microsoft

13.13.1 Microsoft Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.13.2 Microsoft Machine Learning Product Portfolio

13.13.3 Microsoft Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.14 H2O.ai

13.14.1 H2O.ai Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.14.2 H2O.ai Machine Learning Product Portfolio

13.14.3 H2O.ai Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.15 Databricks

13.15.1 Databricks Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.15.2 Databricks Machine Learning Product Portfolio

13.15.3 Databricks Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.16 BigML

13.16.1 BigML Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.16.2 BigML Machine Learning Product Portfolio

13.16.3 BigML Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.17 Dataiku

13.17.1 Dataiku Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.17.2 Dataiku Machine Learning Product Portfolio

13.17.3 Dataiku Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

13.18 Veritone

13.18.1 Veritone Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)

13.18.2 Veritone Machine Learning Product Portfolio

13.18.3 Veritone Machine Learning Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)

14 Industry Chain Analysis

14.1 Machine Learning Industry Chain Analysis

14.2 Machine Learning Industry Raw Material and Suppliers Analysis

14.2.1 Upstream Key Raw Material Supply Analysis

14.2.2 Raw Material Suppliers and Contact Information

14.3 Machine Learning Typical Downstream Customers

14.4 Machine Learning Sales Channel Analysis

15 Research Findings and Conclusion

16 Methodology and Data Source

16.1 Methodology/Research Approach

16.2 Research Scope

16.3 Benchmarks and Assumptions

16.4 Date Source

16.4.1 Primary Sources

16.4.2 Secondary Sources

16.5 Data Cross Validation

16.6 Disclaimer


Name*
Email ID*
Company*
Phone (With Country Code)*
What is/are your question(s)?:

Publisher: DIResearch