Global Machine-Learning-as-a-Service Market Growth (Status and Outlook) 2023-2029

Global Machine-Learning-as-a-Service Market Growth (Status and Outlook) 2023-2029

LPI (LP Information)' newest research report, the “Machine-Learning-as-a-Service Industry Forecast” looks at past sales and reviews total world Machine-Learning-as-a-Service sales in 2022, providing a comprehensive analysis by region and market sector of projected Machine-Learning-as-a-Service sales for 2023 through 2029. With Machine-Learning-as-a-Service sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Machine-Learning-as-a-Service industry.
This Insight Report provides a comprehensive analysis of the global Machine-Learning-as-a-Service landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Machine-Learning-as-a-Service portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Machine-Learning-as-a-Service market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Machine-Learning-as-a-Service and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Machine-Learning-as-a-Service.
The global Machine-Learning-as-a-Service market size is projected to grow from US$ million in 2022 to US$ million in 2029; it is expected to grow at a CAGR of % from 2023 to 2029.
United States market for Machine-Learning-as-a-Service is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.
China market for Machine-Learning-as-a-Service is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.
Europe market for Machine-Learning-as-a-Service is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.
Global key Machine-Learning-as-a-Service players cover Amazon Web Services, BigML, Crunchbase, Fair Isaac Corporation, Google, IBM, Microsoft Corporation, PREDICTRON LABS and Yottamine Analytics, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2022.
This report presents a comprehensive overview, market shares, and growth opportunities of Machine-Learning-as-a-Service market by product type, application, key players and key regions and countries.
Market Segmentation:
Segmentation by type
Services
Software
Segmentation by application
Healthcare
Retail
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Amazon Web Services
BigML
Crunchbase
Fair Isaac Corporation
Google
IBM
Microsoft Corporation
PREDICTRON LABS
Yottamine Analytics

Please note: The report will take approximately 2 business days to prepare and deliver.


*This is a tentative TOC and the final deliverable is subject to change.*
1 Scope of the Report
2 Executive Summary
3 Machine-Learning-as-a-Service Market Size by Player
4 Machine-Learning-as-a-Service by Regions
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global Machine-Learning-as-a-Service Market Forecast
11 Key Players Analysis
12 Research Findings and Conclusion

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