Global Low Code and No Code Machine Learning Platform Market Research Report 2023

Publication ID:

PB504230379

Publication Date:

April 3, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global Low Code and No Code Machine Learning Platform market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Low Code and No Code Machine Learning Platform is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Low Code and No Code Machine Learning Platform is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Low Code and No Code Machine Learning Platform in Education is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global 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 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Low Code and No Code Machine Learning Platform, 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.
The Low Code and No Code Machine Learning Platform market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Low Code and No Code Machine Learning Platform 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 Low Code and No Code Machine Learning Platform 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.
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
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by 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: 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 Low Code and No Code Machine Learning Platform companies鈥� 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 key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Low Code and No Code Machine Learning Platform Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Low Code Platform
1.2.3 No Code Platform
1.3 Market by Application
1.3.1 Global Low Code and No Code Machine Learning Platform Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Education
1.3.3 Finance
1.3.4 Bank
1.3.5 Industry
1.3.6 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Low Code and No Code Machine Learning Platform Market Perspective (2018-2029)
2.2 Low Code and No Code Machine Learning Platform Growth Trends by Region
2.2.1 Global Low Code and No Code Machine Learning Platform Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Low Code and No Code Machine Learning Platform Historic Market Size by Region (2018-2023)
2.2.3 Low Code and No Code Machine Learning Platform Forecasted Market Size by Region (2024-2029)
2.3 Low Code and No Code Machine Learning Platform Market Dynamics
2.3.1 Low Code and No Code Machine Learning Platform Industry Trends
2.3.2 Low Code and No Code Machine Learning Platform Market Drivers
2.3.3 Low Code and No Code Machine Learning Platform Market Challenges
2.3.4 Low Code and No Code Machine Learning Platform Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Low Code and No Code Machine Learning Platform Players by Revenue
3.1.1 Global Top Low Code and No Code Machine Learning Platform Players by Revenue (2018-2023)
3.1.2 Global Low Code and No Code Machine Learning Platform Revenue Market Share by Players (2018-2023)
3.2 Global Low Code and No Code Machine Learning Platform Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Low Code and No Code Machine Learning Platform Revenue
3.4 Global Low Code and No Code Machine Learning Platform Market Concentration Ratio
3.4.1 Global Low Code and No Code Machine Learning Platform Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Low Code and No Code Machine Learning Platform Revenue in 2022
3.5 Low Code and No Code Machine Learning Platform Key Players Head office and Area Served
3.6 Key Players Low Code and No Code Machine Learning Platform Product Solution and Service
3.7 Date of Enter into Low Code and No Code Machine Learning Platform Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Low Code and No Code Machine Learning Platform Breakdown Data by Type
4.1 Global Low Code and No Code Machine Learning Platform Historic Market Size by Type (2018-2023)
4.2 Global Low Code and No Code Machine Learning Platform Forecasted Market Size by Type (2024-2029)
5 Low Code and No Code Machine Learning Platform Breakdown Data by Application
5.1 Global Low Code and No Code Machine Learning Platform Historic Market Size by Application (2018-2023)
5.2 Global Low Code and No Code Machine Learning Platform Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Low Code and No Code Machine Learning Platform Market Size (2018-2029)
6.2 North America Low Code and No Code Machine Learning Platform Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Low Code and No Code Machine Learning Platform Market Size by Country (2018-2023)
6.4 North America Low Code and No Code Machine Learning Platform Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Low Code and No Code Machine Learning Platform Market Size (2018-2029)
7.2 Europe Low Code and No Code Machine Learning Platform Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Low Code and No Code Machine Learning Platform Market Size by Country (2018-2023)
7.4 Europe Low Code and No Code Machine Learning Platform Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Low Code and No Code Machine Learning Platform Market Size (2018-2029)
8.2 Asia-Pacific Low Code and No Code Machine Learning Platform Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Low Code and No Code Machine Learning Platform Market Size by Region (2018-2023)
8.4 Asia-Pacific Low Code and No Code Machine Learning Platform Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Low Code and No Code Machine Learning Platform Market Size (2018-2029)
9.2 Latin America Low Code and No Code Machine Learning Platform Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Low Code and No Code Machine Learning Platform Market Size by Country (2018-2023)
9.4 Latin America Low Code and No Code Machine Learning Platform Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Low Code and No Code Machine Learning Platform Market Size (2018-2029)
10.2 Middle East & Africa Low Code and No Code Machine Learning Platform Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Low Code and No Code Machine Learning Platform Market Size by Country (2018-2023)
10.4 Middle East & Africa Low Code and No Code Machine Learning Platform Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 DeepLobe
11.1.1 DeepLobe Company Detail
11.1.2 DeepLobe Business Overview
11.1.3 DeepLobe Low Code and No Code Machine Learning Platform Introduction
11.1.4 DeepLobe Revenue in Low Code and No Code Machine Learning Platform Business (2018-2023)
11.1.5 DeepLobe Recent Development
11.2 Cogniflow
11.2.1 Cogniflow Company Detail
11.2.2 Cogniflow Business Overview
11.2.3 Cogniflow Low Code and No Code Machine Learning Platform Introduction
11.2.4 Cogniflow Revenue in Low Code and No Code Machine Learning Platform Business (2018-2023)
11.2.5 Cogniflow Recent Development
11.3 MakeML
11.3.1 MakeML Company Detail
11.3.2 MakeML Business Overview
11.3.3 MakeML Low Code and No Code Machine Learning Platform Introduction
11.3.4 MakeML Revenue in Low Code and No Code Machine Learning Platform Business (2018-2023)
11.3.5 MakeML Recent Development
11.4 Obviously Al
11.4.1 Obviously Al Company Detail
11.4.2 Obviously Al Business Overview
11.4.3 Obviously Al Low Code and No Code Machine Learning Platform Introduction
11.4.4 Obviously Al Revenue in Low Code and No Code Machine Learning Platform Business (2018-2023)
11.4.5 Obviously Al Recent Development
11.5 SuperAnnotate
11.5.1 SuperAnnotate Company Detail
11.5.2 SuperAnnotate Business Overview
11.5.3 SuperAnnotate Low Code and No Code Machine Learning Platform Introduction
11.5.4 SuperAnnotate Revenue in Low Code and No Code Machine Learning Platform Business (2018-2023)
11.5.5 SuperAnnotate Recent Development
11.6 Teachable Machine
11.6.1 Teachable Machine Company Detail
11.6.2 Teachable Machine Business Overview
11.6.3 Teachable Machine Low Code and No Code Machine Learning Platform Introduction
11.6.4 Teachable Machine Revenue in Low Code and No Code Machine Learning Platform Business (2018-2023)
11.6.5 Teachable Machine Recent Development
11.7 Apple's Create ML
11.7.1 Apple's Create ML Company Detail
11.7.2 Apple's Create ML Business Overview
11.7.3 Apple's Create ML Low Code and No Code Machine Learning Platform Introduction
11.7.4 Apple's Create ML Revenue in Low Code and No Code Machine Learning Platform Business (2018-2023)
11.7.5 Apple's Create ML Recent Development
11.8 PyCaret
11.8.1 PyCaret Company Detail
11.8.2 PyCaret Business Overview
11.8.3 PyCaret Low Code and No Code Machine Learning Platform Introduction
11.8.4 PyCaret Revenue in Low Code and No Code Machine Learning Platform Business (2018-2023)
11.8.5 PyCaret Recent Development
11.9 Lobe
11.9.1 Lobe Company Detail
11.9.2 Lobe Business Overview
11.9.3 Lobe Low Code and No Code Machine Learning Platform Introduction
11.9.4 Lobe Revenue in Low Code and No Code Machine Learning Platform Business (2018-2023)
11.9.5 Lobe Recent Development
11.10 MonkeyLearn
11.10.1 MonkeyLearn Company Detail
11.10.2 MonkeyLearn Business Overview
11.10.3 MonkeyLearn Low Code and No Code Machine Learning Platform Introduction
11.10.4 MonkeyLearn Revenue in Low Code and No Code Machine Learning Platform Business (2018-2023)
11.10.5 MonkeyLearn Recent Development
11.11 Levity AI
11.11.1 Levity AI Company Detail
11.11.2 Levity AI Business Overview
11.11.3 Levity AI Low Code and No Code Machine Learning Platform Introduction
11.11.4 Levity AI Revenue in Low Code and No Code Machine Learning Platform Business (2018-2023)
11.11.5 Levity AI Recent Development
11.12 Microsoft PowerApps
11.12.1 Microsoft PowerApps Company Detail
11.12.2 Microsoft PowerApps Business Overview
11.12.3 Microsoft PowerApps Low Code and No Code Machine Learning Platform Introduction
11.12.4 Microsoft PowerApps Revenue in Low Code and No Code Machine Learning Platform Business (2018-2023)
11.12.5 Microsoft PowerApps Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

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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