AI & machine learning operationalization software allows users to manage and monitor machine learning models. The software provides a way to monitor the health, performance, and accuracy of models, as well as iterate on those models in a collaborative manner. This enables businesses to scale machine learning across an entire organization and make a tangible business impact.
Highlights
The global AI & Machine Learning Operationalization Tool 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 AI & Machine Learning Operationalization Tool 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 AI & Machine Learning Operationalization Tool 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 AI & Machine Learning Operationalization Tool in Large Enterprises 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 AI & Machine Learning Operationalization Tool include Algorithmia, Spell, Valohai Ltd, 5Analytics, Cognitivescale, Datatron Technologies, Acusense Technologies, Determined AI and DreamQuark, 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 AI & Machine Learning Operationalization Tool, 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 & Machine Learning Operationalization Tool.
The AI & Machine Learning Operationalization Tool 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 AI & Machine Learning Operationalization Tool 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 & Machine Learning Operationalization Tool 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
Algorithmia
Spell
Valohai Ltd
5Analytics
Cognitivescale
Datatron Technologies
Acusense Technologies
Determined AI
DreamQuark
Logical Clocks
IBM
Imandra
Iterative
Databricks
ParallelM
MLPerf
Neptune Labs
Numericcal
Peltarion
Weights & Biases
WidgetBrain
Segment by Type
Cloud-Based
Web-Based
Segment by Application
Large Enterprises
SMEs
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 AI & Machine Learning Operationalization Tool 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.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI & Machine Learning Operationalization Tool Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Cloud-Based
1.2.3 Web-Based
1.3 Market by Application
1.3.1 Global AI & Machine Learning Operationalization Tool Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI & Machine Learning Operationalization Tool Market Perspective (2018-2029)
2.2 AI & Machine Learning Operationalization Tool Growth Trends by Region
2.2.1 Global AI & Machine Learning Operationalization Tool Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 AI & Machine Learning Operationalization Tool Historic Market Size by Region (2018-2023)
2.2.3 AI & Machine Learning Operationalization Tool Forecasted Market Size by Region (2024-2029)
2.3 AI & Machine Learning Operationalization Tool Market Dynamics
2.3.1 AI & Machine Learning Operationalization Tool Industry Trends
2.3.2 AI & Machine Learning Operationalization Tool Market Drivers
2.3.3 AI & Machine Learning Operationalization Tool Market Challenges
2.3.4 AI & Machine Learning Operationalization Tool Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI & Machine Learning Operationalization Tool Players by Revenue
3.1.1 Global Top AI & Machine Learning Operationalization Tool Players by Revenue (2018-2023)
3.1.2 Global AI & Machine Learning Operationalization Tool Revenue Market Share by Players (2018-2023)
3.2 Global AI & Machine Learning Operationalization Tool Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI & Machine Learning Operationalization Tool Revenue
3.4 Global AI & Machine Learning Operationalization Tool Market Concentration Ratio
3.4.1 Global AI & Machine Learning Operationalization Tool Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI & Machine Learning Operationalization Tool Revenue in 2022
3.5 AI & Machine Learning Operationalization Tool Key Players Head office and Area Served
3.6 Key Players AI & Machine Learning Operationalization Tool Product Solution and Service
3.7 Date of Enter into AI & Machine Learning Operationalization Tool Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI & Machine Learning Operationalization Tool Breakdown Data by Type
4.1 Global AI & Machine Learning Operationalization Tool Historic Market Size by Type (2018-2023)
4.2 Global AI & Machine Learning Operationalization Tool Forecasted Market Size by Type (2024-2029)
5 AI & Machine Learning Operationalization Tool Breakdown Data by Application
5.1 Global AI & Machine Learning Operationalization Tool Historic Market Size by Application (2018-2023)
5.2 Global AI & Machine Learning Operationalization Tool Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America AI & Machine Learning Operationalization Tool Market Size (2018-2029)
6.2 North America AI & Machine Learning Operationalization Tool Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America AI & Machine Learning Operationalization Tool Market Size by Country (2018-2023)
6.4 North America AI & Machine Learning Operationalization Tool Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI & Machine Learning Operationalization Tool Market Size (2018-2029)
7.2 Europe AI & Machine Learning Operationalization Tool Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe AI & Machine Learning Operationalization Tool Market Size by Country (2018-2023)
7.4 Europe AI & Machine Learning Operationalization Tool 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 AI & Machine Learning Operationalization Tool Market Size (2018-2029)
8.2 Asia-Pacific AI & Machine Learning Operationalization Tool Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific AI & Machine Learning Operationalization Tool Market Size by Region (2018-2023)
8.4 Asia-Pacific AI & Machine Learning Operationalization Tool 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 AI & Machine Learning Operationalization Tool Market Size (2018-2029)
9.2 Latin America AI & Machine Learning Operationalization Tool Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America AI & Machine Learning Operationalization Tool Market Size by Country (2018-2023)
9.4 Latin America AI & Machine Learning Operationalization Tool Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI & Machine Learning Operationalization Tool Market Size (2018-2029)
10.2 Middle East & Africa AI & Machine Learning Operationalization Tool Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa AI & Machine Learning Operationalization Tool Market Size by Country (2018-2023)
10.4 Middle East & Africa AI & Machine Learning Operationalization Tool Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Algorithmia
11.1.1 Algorithmia Company Detail
11.1.2 Algorithmia Business Overview
11.1.3 Algorithmia AI & Machine Learning Operationalization Tool Introduction
11.1.4 Algorithmia Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.1.5 Algorithmia Recent Development
11.2 Spell
11.2.1 Spell Company Detail
11.2.2 Spell Business Overview
11.2.3 Spell AI & Machine Learning Operationalization Tool Introduction
11.2.4 Spell Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.2.5 Spell Recent Development
11.3 Valohai Ltd
11.3.1 Valohai Ltd Company Detail
11.3.2 Valohai Ltd Business Overview
11.3.3 Valohai Ltd AI & Machine Learning Operationalization Tool Introduction
11.3.4 Valohai Ltd Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.3.5 Valohai Ltd Recent Development
11.4 5Analytics
11.4.1 5Analytics Company Detail
11.4.2 5Analytics Business Overview
11.4.3 5Analytics AI & Machine Learning Operationalization Tool Introduction
11.4.4 5Analytics Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.4.5 5Analytics Recent Development
11.5 Cognitivescale
11.5.1 Cognitivescale Company Detail
11.5.2 Cognitivescale Business Overview
11.5.3 Cognitivescale AI & Machine Learning Operationalization Tool Introduction
11.5.4 Cognitivescale Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.5.5 Cognitivescale Recent Development
11.6 Datatron Technologies
11.6.1 Datatron Technologies Company Detail
11.6.2 Datatron Technologies Business Overview
11.6.3 Datatron Technologies AI & Machine Learning Operationalization Tool Introduction
11.6.4 Datatron Technologies Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.6.5 Datatron Technologies Recent Development
11.7 Acusense Technologies
11.7.1 Acusense Technologies Company Detail
11.7.2 Acusense Technologies Business Overview
11.7.3 Acusense Technologies AI & Machine Learning Operationalization Tool Introduction
11.7.4 Acusense Technologies Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.7.5 Acusense Technologies Recent Development
11.8 Determined AI
11.8.1 Determined AI Company Detail
11.8.2 Determined AI Business Overview
11.8.3 Determined AI AI & Machine Learning Operationalization Tool Introduction
11.8.4 Determined AI Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.8.5 Determined AI Recent Development
11.9 DreamQuark
11.9.1 DreamQuark Company Detail
11.9.2 DreamQuark Business Overview
11.9.3 DreamQuark AI & Machine Learning Operationalization Tool Introduction
11.9.4 DreamQuark Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.9.5 DreamQuark Recent Development
11.10 Logical Clocks
11.10.1 Logical Clocks Company Detail
11.10.2 Logical Clocks Business Overview
11.10.3 Logical Clocks AI & Machine Learning Operationalization Tool Introduction
11.10.4 Logical Clocks Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.10.5 Logical Clocks Recent Development
11.11 IBM
11.11.1 IBM Company Detail
11.11.2 IBM Business Overview
11.11.3 IBM AI & Machine Learning Operationalization Tool Introduction
11.11.4 IBM Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.11.5 IBM Recent Development
11.12 Imandra
11.12.1 Imandra Company Detail
11.12.2 Imandra Business Overview
11.12.3 Imandra AI & Machine Learning Operationalization Tool Introduction
11.12.4 Imandra Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.12.5 Imandra Recent Development
11.13 Iterative
11.13.1 Iterative Company Detail
11.13.2 Iterative Business Overview
11.13.3 Iterative AI & Machine Learning Operationalization Tool Introduction
11.13.4 Iterative Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.13.5 Iterative Recent Development
11.14 Databricks
11.14.1 Databricks Company Detail
11.14.2 Databricks Business Overview
11.14.3 Databricks AI & Machine Learning Operationalization Tool Introduction
11.14.4 Databricks Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.14.5 Databricks Recent Development
11.15 ParallelM
11.15.1 ParallelM Company Detail
11.15.2 ParallelM Business Overview
11.15.3 ParallelM AI & Machine Learning Operationalization Tool Introduction
11.15.4 ParallelM Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.15.5 ParallelM Recent Development
11.16 MLPerf
11.16.1 MLPerf Company Detail
11.16.2 MLPerf Business Overview
11.16.3 MLPerf AI & Machine Learning Operationalization Tool Introduction
11.16.4 MLPerf Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.16.5 MLPerf Recent Development
11.17 Neptune Labs
11.17.1 Neptune Labs Company Detail
11.17.2 Neptune Labs Business Overview
11.17.3 Neptune Labs AI & Machine Learning Operationalization Tool Introduction
11.17.4 Neptune Labs Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.17.5 Neptune Labs Recent Development
11.18 Numericcal
11.18.1 Numericcal Company Detail
11.18.2 Numericcal Business Overview
11.18.3 Numericcal AI & Machine Learning Operationalization Tool Introduction
11.18.4 Numericcal Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.18.5 Numericcal Recent Development
11.19 Peltarion
11.19.1 Peltarion Company Detail
11.19.2 Peltarion Business Overview
11.19.3 Peltarion AI & Machine Learning Operationalization Tool Introduction
11.19.4 Peltarion Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.19.5 Peltarion Recent Development
11.20 Weights & Biases
11.20.1 Weights & Biases Company Detail
11.20.2 Weights & Biases Business Overview
11.20.3 Weights & Biases AI & Machine Learning Operationalization Tool Introduction
11.20.4 Weights & Biases Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.20.5 Weights & Biases Recent Development
11.21 WidgetBrain
11.21.1 WidgetBrain Company Detail
11.21.2 WidgetBrain Business Overview
11.21.3 WidgetBrain AI & Machine Learning Operationalization Tool Introduction
11.21.4 WidgetBrain Revenue in AI & Machine Learning Operationalization Tool Business (2018-2023)
11.21.5 WidgetBrain 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
Algorithmia
Spell
Valohai Ltd
5Analytics
Cognitivescale
Datatron Technologies
Acusense Technologies
Determined AI
DreamQuark
Logical Clocks
IBM
Imandra
Iterative
Databricks
ParallelM
MLPerf
Neptune Labs
Numericcal
Peltarion
Weights & Biases
WidgetBrain
听
听
*If Applicable.
