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Home > Low Code and No Code Machine Learning Platform - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Low Code and No Code Machine Learning Platform - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID: 
PB510251225
Publication Date: 
October 5, 2024
Pages: 
106
Publisher: 
MRRPB5
Countries: 
Global [1]
USD 3,950.00

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IT Services [2]
Computing & Electronics [3]
Description: 

The global market for Low Code and No Code Machine Learning Platform was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
North American market for Low Code and No Code Machine Learning Platform was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Low Code and No Code Machine Learning Platform was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Low Code and No Code Machine Learning Platform was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Low Code and No Code Machine Learning Platform include DeepLobe, Cogniflow, MakeML, Obviously Al, SuperAnnotate, Teachable Machine, Apple's Create ML, PyCaret and Lobe, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Low Code and No Code Machine Learning Platform, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Low Code and No Code Machine Learning Platform by region & country, by Type, and by Application.
The Low Code and No Code Machine Learning Platform market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Low Code and No Code Machine Learning Platform.
Market Segmentation
By Company
DeepLobe
Cogniflow
MakeML
Obviously Al
SuperAnnotate
Teachable Machine
Apple's Create ML
PyCaret
Lobe
MonkeyLearn
Levity AI
Microsoft PowerApps
Segment by Type:
Low Code Platform
No Code Platform
Segment by Application
Education
Finance
Bank
Industry
Other
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Low Code and No Code Machine Learning Platform manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Low Code and No Code Machine Learning Platform in 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, and market size of each country in the world.
Chapter 6: Revenue of Low Code and No Code Machine Learning Platform in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents: 

1 Market Overview
1.1 Low Code and No Code Machine Learning Platform Product Introduction
1.2 Global Low Code and No Code Machine Learning Platform Market Size Forecast
1.3 Low Code and No Code Machine Learning Platform Market Trends & Drivers
1.3.1 Low Code and No Code Machine Learning Platform Industry Trends
1.3.2 Low Code and No Code Machine Learning Platform Market Drivers & Opportunity
1.3.3 Low Code and No Code Machine Learning Platform Market Challenges
1.3.4 Low Code and No Code Machine Learning Platform Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Low Code and No Code Machine Learning Platform Players Revenue Ranking (2023)
2.2 Global Low Code and No Code Machine Learning Platform Revenue by Company (2019-2024)
2.3 Key Companies Low Code and No Code Machine Learning Platform Manufacturing Base Distribution and Headquarters
2.4 Key Companies Low Code and No Code Machine Learning Platform Product Offered
2.5 Key Companies Time to Begin Mass Production of Low Code and No Code Machine Learning Platform
2.6 Low Code and No Code Machine Learning Platform Market Competitive Analysis
2.6.1 Low Code and No Code Machine Learning Platform Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Low Code and No Code Machine Learning Platform Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Low Code and No Code Machine Learning Platform as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Low Code Platform
3.1.2 No Code Platform
3.2 Global Low Code and No Code Machine Learning Platform Sales Value by Type
3.2.1 Global Low Code and No Code Machine Learning Platform Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Low Code and No Code Machine Learning Platform Sales Value, by Type (2019-2030)
3.2.3 Global Low Code and No Code Machine Learning Platform Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Education
4.1.2 Finance
4.1.3 Bank
4.1.4 Industry
4.1.5 Other
4.2 Global Low Code and No Code Machine Learning Platform Sales Value by Application
4.2.1 Global Low Code and No Code Machine Learning Platform Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Low Code and No Code Machine Learning Platform Sales Value, by Application (2019-2030)
4.2.3 Global Low Code and No Code Machine Learning Platform Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Low Code and No Code Machine Learning Platform Sales Value by Region
5.1.1 Global Low Code and No Code Machine Learning Platform Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Low Code and No Code Machine Learning Platform Sales Value by Region (2019-2024)
5.1.3 Global Low Code and No Code Machine Learning Platform Sales Value by Region (2025-2030)
5.1.4 Global Low Code and No Code Machine Learning Platform Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Low Code and No Code Machine Learning Platform Sales Value, 2019-2030
5.2.2 North America Low Code and No Code Machine Learning Platform Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Low Code and No Code Machine Learning Platform Sales Value, 2019-2030
5.3.2 Europe Low Code and No Code Machine Learning Platform Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Low Code and No Code Machine Learning Platform Sales Value, 2019-2030
5.4.2 Asia Pacific Low Code and No Code Machine Learning Platform Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Low Code and No Code Machine Learning Platform Sales Value, 2019-2030
5.5.2 South America Low Code and No Code Machine Learning Platform Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Low Code and No Code Machine Learning Platform Sales Value, 2019-2030
5.6.2 Middle East & Africa Low Code and No Code Machine Learning Platform Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Low Code and No Code Machine Learning Platform Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Low Code and No Code Machine Learning Platform Sales Value
6.3 United States
6.3.1 United States Low Code and No Code Machine Learning Platform Sales Value, 2019-2030
6.3.2 United States Low Code and No Code Machine Learning Platform Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Low Code and No Code Machine Learning Platform Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Low Code and No Code Machine Learning Platform Sales Value, 2019-2030
6.4.2 Europe Low Code and No Code Machine Learning Platform Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Low Code and No Code Machine Learning Platform Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Low Code and No Code Machine Learning Platform Sales Value, 2019-2030
6.5.2 China Low Code and No Code Machine Learning Platform Sales Value by Type (%), 2023 VS 2030
6.5.3 China Low Code and No Code Machine Learning Platform Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Low Code and No Code Machine Learning Platform Sales Value, 2019-2030
6.6.2 Japan Low Code and No Code Machine Learning Platform Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Low Code and No Code Machine Learning Platform Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Low Code and No Code Machine Learning Platform Sales Value, 2019-2030
6.7.2 South Korea Low Code and No Code Machine Learning Platform Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Low Code and No Code Machine Learning Platform Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Low Code and No Code Machine Learning Platform Sales Value, 2019-2030
6.8.2 Southeast Asia Low Code and No Code Machine Learning Platform Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Low Code and No Code Machine Learning Platform Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Low Code and No Code Machine Learning Platform Sales Value, 2019-2030
6.9.2 India Low Code and No Code Machine Learning Platform Sales Value by Type (%), 2023 VS 2030
6.9.3 India Low Code and No Code Machine Learning Platform Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 DeepLobe
7.1.1 DeepLobe Profile
7.1.2 DeepLobe Main Business
7.1.3 DeepLobe Low Code and No Code Machine Learning Platform Products, Services and Solutions
7.1.4 DeepLobe Low Code and No Code Machine Learning Platform Revenue (US$ Million) & (2019-2024)
7.1.5 DeepLobe Recent Developments
7.2 Cogniflow
7.2.1 Cogniflow Profile
7.2.2 Cogniflow Main Business
7.2.3 Cogniflow Low Code and No Code Machine Learning Platform Products, Services and Solutions
7.2.4 Cogniflow Low Code and No Code Machine Learning Platform Revenue (US$ Million) & (2019-2024)
7.2.5 Cogniflow Recent Developments
7.3 MakeML
7.3.1 MakeML Profile
7.3.2 MakeML Main Business
7.3.3 MakeML Low Code and No Code Machine Learning Platform Products, Services and Solutions
7.3.4 MakeML Low Code and No Code Machine Learning Platform Revenue (US$ Million) & (2019-2024)
7.3.5 Obviously Al Recent Developments
7.4 Obviously Al
7.4.1 Obviously Al Profile
7.4.2 Obviously Al Main Business
7.4.3 Obviously Al Low Code and No Code Machine Learning Platform Products, Services and Solutions
7.4.4 Obviously Al Low Code and No Code Machine Learning Platform Revenue (US$ Million) & (2019-2024)
7.4.5 Obviously Al Recent Developments
7.5 SuperAnnotate
7.5.1 SuperAnnotate Profile
7.5.2 SuperAnnotate Main Business
7.5.3 SuperAnnotate Low Code and No Code Machine Learning Platform Products, Services and Solutions
7.5.4 SuperAnnotate Low Code and No Code Machine Learning Platform Revenue (US$ Million) & (2019-2024)
7.5.5 SuperAnnotate Recent Developments
7.6 Teachable Machine
7.6.1 Teachable Machine Profile
7.6.2 Teachable Machine Main Business
7.6.3 Teachable Machine Low Code and No Code Machine Learning Platform Products, Services and Solutions
7.6.4 Teachable Machine Low Code and No Code Machine Learning Platform Revenue (US$ Million) & (2019-2024)
7.6.5 Teachable Machine Recent Developments
7.7 Apple's Create ML
7.7.1 Apple's Create ML Profile
7.7.2 Apple's Create ML Main Business
7.7.3 Apple's Create ML Low Code and No Code Machine Learning Platform Products, Services and Solutions
7.7.4 Apple's Create ML Low Code and No Code Machine Learning Platform Revenue (US$ Million) & (2019-2024)
7.7.5 Apple's Create ML Recent Developments
7.8 PyCaret
7.8.1 PyCaret Profile
7.8.2 PyCaret Main Business
7.8.3 PyCaret Low Code and No Code Machine Learning Platform Products, Services and Solutions
7.8.4 PyCaret Low Code and No Code Machine Learning Platform Revenue (US$ Million) & (2019-2024)
7.8.5 PyCaret Recent Developments
7.9 Lobe
7.9.1 Lobe Profile
7.9.2 Lobe Main Business
7.9.3 Lobe Low Code and No Code Machine Learning Platform Products, Services and Solutions
7.9.4 Lobe Low Code and No Code Machine Learning Platform Revenue (US$ Million) & (2019-2024)
7.9.5 Lobe Recent Developments
7.10 MonkeyLearn
7.10.1 MonkeyLearn Profile
7.10.2 MonkeyLearn Main Business
7.10.3 MonkeyLearn Low Code and No Code Machine Learning Platform Products, Services and Solutions
7.10.4 MonkeyLearn Low Code and No Code Machine Learning Platform Revenue (US$ Million) & (2019-2024)
7.10.5 MonkeyLearn Recent Developments
7.11 Levity AI
7.11.1 Levity AI Profile
7.11.2 Levity AI Main Business
7.11.3 Levity AI Low Code and No Code Machine Learning Platform Products, Services and Solutions
7.11.4 Levity AI Low Code and No Code Machine Learning Platform Revenue (US$ Million) & (2019-2024)
7.11.5 Levity AI Recent Developments
7.12 Microsoft PowerApps
7.12.1 Microsoft PowerApps Profile
7.12.2 Microsoft PowerApps Main Business
7.12.3 Microsoft PowerApps Low Code and No Code Machine Learning Platform Products, Services and Solutions
7.12.4 Microsoft PowerApps Low Code and No Code Machine Learning Platform Revenue (US$ Million) & (2019-2024)
7.12.5 Microsoft PowerApps Recent Developments
8 Industry Chain Analysis
8.1 Low Code and No Code Machine Learning Platform Industrial Chain
8.2 Low Code and No Code Machine Learning Platform Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Low Code and No Code Machine Learning Platform Sales Model
8.5.2 Sales Channel
8.5.3 Low Code and No Code Machine Learning Platform Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned: 

DeepLobe
Cogniflow
MakeML
Obviously Al
SuperAnnotate
Teachable Machine
Apple's Create ML
PyCaret
Lobe
MonkeyLearn
Levity AI
Microsoft PowerApps

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