Global Ai and Machine Learning Service Market Research Report 2024

AI (Artificial Intelligence) and machine learning services refer to a range of technologies and tools that leverage artificial intelligence algorithms and techniques to perform tasks traditionally requiring human intelligence. These services encompass various applications, including data analysis, pattern recognition, natural language processing, computer vision, and decision-making. Machine learning is a subset of artificial intelligence (AI). It is focused on teaching computers to learn from data and to improve with experience – instead of being explicitly programmed to do so. In machine learning, algorithms are trained to find patterns and correlations in large data sets and to make the best decisions and predictions based on that analysis. Machine learning applications improve with use and become more accurate the more data they have access to.

The global Ai and Machine Learning Service market was valued at US$ 27620 million in 2023 and is anticipated to reach US$ 136860 million by 2030, witnessing a CAGR of 24.5% during the forecast period 2024-2030.

Global key players of Ai and Machine Learning Service include IBM, Google, HPE, AWS, Dell, etc. The top five players hold a share over 32%. North America is the largest market, and has a share about 40%, followed by Europe and Asia-Pacific with share 28% and 24%, separately. In terms of product type, Supervised Learning is the largest segment, occupied for a share of 44%. In terms of application, Manufacturing has a share about 19 percent.

This report aims to provide a comprehensive presentation of the global market for Ai and Machine Learning Service, 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 Ai and Machine Learning Service.

The Ai and Machine Learning Service market size, estimations, and forecasts are provided in terms of and 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 Ai and Machine Learning Service 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 Ai and Machine Learning Service companies, new entrants, and industry chain related companies in this market with information on the revenues 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


IBM

Google

HPE

AWS

Dell

Oracle

Microsoft

SAP

Intel

Baidu

SAS Institute

Databricks

Dataiku

Digis


Segment by Type


Supervised Learning

Unsupervised Learning

Reinforcement Learning


Segment by Application


BFSI

IT & Telecom

Healthcare

Retail

Manufacturing

Other

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

Nordic Countries

Rest of Europe

Latin America

Mexico

Brazil

Rest of Latin America

Middle East & Africa

Turkey

Saudi Arabia

UAE

Rest of MEA

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 Ai and Machine Learning Service company 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.

Frequently Asked Questions