Global Machine Learning Market Insights and Forecast to 2028
Market Analysis and Insights: Global Machine Learning Market
Due to the COVID-19 pandemic and Russia-Ukraine War Influence, the global market for Machine Learning estimated at US$ 21,035.50 million in the year 2022, is projected to reach a revised size of US$ 140,621.79 million by 2028, growing at a CAGR of 37.25% during the forecast period 2022-2028.
The North America market for Machine Learning is estimated to increase from $ 7,756.93 million in 2022 to reach $ 46,463.73 million by 2028, at a CAGR of 34.58% during the forecast period of 2022 through 2028.
The Asia-Pacific market for Machine Learning is estimated to increase from $ 6,236.61 million in 2022 to reach $ 45,668.13 million by 2028, at a CAGR of 39.34% during the forecast period of 2022 through 2028.
The Europe market for Machine Learning is estimated to increase from $ 5,146.41 million in 2022 to reach $ 35,904.59 million by 2028, at a CAGR of 38.64% during the forecast period of 2022 through 2028.
The global key companies of Machine Learning include IBM, Dell, HPE, Oracle, Google, etc. In 2021, the global top five players had a share approximately 31.34% in terms of revenue.
Report Includes
This report presents an overview of global market for Machine Learning market size. Analyses of the global market trends, with historic market revenue data for 2017 - 2021, estimates for 2022, and projections of CAGR through 2028.
This report researches the key producers of Machine Learning, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Machine Learning, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Machine Learning revenue, market share and industry ranking of main companies, data from 2017 to 2022. Identification of the major stakeholders in the global Machine Learning market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2017 to 2028. Evaluation and forecast the market size for Machine Learning revenue, projected growth trends, production technology, application and end-user industry.
Descriptive company profiles of the major global players, including IBM, Microsoft Corporation, SAP SE, Intel Corporation, SAS Institute Inc., Amazon Web Services, Inc., BigML, Inc., Google Inc., and Fair Isaac Corporation, etc.
By Company
IBM
Dell
HPE
Oracle
Google
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
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Saudi Arabia
UAE
Egypt
South Africa
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, 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: 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 its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. 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 and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6: North America by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: Asia Pacific by Type, by Application and by region, revenue for each segment.
Chapter 9: Latin America by Type, by Application and by country, revenue for each segment.
Chapter 10: Middle East and Africa by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Machine Learningrevenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
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