Market Overview:
The global AI & machine learning operationalization software market is expected to grow at a CAGR of xx% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for AI & machine learning operationalization software from large enterprises and SMEs. Additionally, the growing adoption of cloud-based and web-based AI & machine learning operationalization software is also contributing to the growth of this market. However, lack of awareness about AI & machine learning operationalization software among end users is restraining the growth of this market.
Product Definition:
AI & Machine Learning Operationalization Software is a type of software that helps to operationalize AI and machine learning models. It is important because it can help to improve the accuracy and performance of these models, as well as make them more scalable.
Cloud-Based:
Cloud-based software is a type of Software as a Service (SaaS) that provides an interface to manage data and applications across multiple devices from a single location. It helps in storing large amounts of data on the remote server for easy access by the users. The cloud-based software has witnessed significant growth over the past few years owing to its cost effectiveness, ease of use, and flexibility.
Web-Based:
The web-based software is used to design, deploy and operate a website. It is also used to create internet-enabled applications for mobile devices such as smartphones and tablets. In layman terms, the web-based software allows users or customers to access the services or products through any device including laptops, desktop computers, mobiles & tablets and other smart connected devices such as Apple TV and Chromecast.
Application Insights:
The large enterprises segment accounted for the largest market share in 2017 and is expected to continue its dominance over the forecast period. The large enterprise segment is estimated to reach USD 1,000.0 million by 2030. The adoption of AI and ML operationalization software in this sector has witnessed a significant rise over the past few years owing to various benefits such as time & cost savings, improved operational efficiency, enhanced customer experience and business insights gained from these applications.
The small & medium-sized enterprises (SMEs) segment is anticipated to witness considerable growth over the forecast period owing to increasing penetration of cloud-based solutions among these companies due largely in part that they can utilize web-based applications on different devices with varying capabilities (laptops, tablets etc.).
Regional Analysis:
North America dominated the global market in 2017. The region is expected to maintain its position during the forecast period. This can be attributed to increasing investments by companies for deploying AI and MLOs in their organizations. Moreover, growing adoption of cloud-based technologies and rising demand for on-demand software solutions are contributing toward regional growth.
Asia Pacific is anticipated to witness significant growth over the next eight years owing to increasing government initiatives across various countries such as China, India, Singapore, South Korea and Japan encouraging private investment in these emerging economies through tax benefits etc., which will drive regional demand during the forecast period. Furthermore, growing penetration of internet users along with rapid technological advancements are some other factors driving regional growth over this period.
Growth Factors:
- Increasing demand for AI and machine learning across industries for enhanced productivity and efficiency
- Proliferation of big data and the need for advanced analytics to make sense of it all
- Rapid advancements in artificial intelligence and machine learning technology
- Growing focus on automation to speed up processes and improve accuracy
- Increased demand from small businesses for affordable yet powerful AI-based solutions
Scope Of The Report
Report Attributes
Report Details
Report Title
AI & Machine Learning Operationalization Software Market Research Report
By Type
Cloud-Based, Web-Based
By Application
Large Enterprises, SMEs
By Companies
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
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
169
Number of Tables & Figures
119
Customization Available
Yes, the report can be customized as per your need.
Global AI & Machine Learning Operationalization Software Market Report Segments:
The global AI & Machine Learning Operationalization Software market is segmented on the basis of:
Types
Cloud-Based, Web-Based
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Large Enterprises, SMEs
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- 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
Highlights of The AI & Machine Learning Operationalization Software Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Cloud-Based
- Web-Based
- By Application:
- Large Enterprises
- SMEs
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the AI & Machine Learning Operationalization Software Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Operationalization software is a type of software that helps organizations to better understand and manage their data. It can help identify patterns in data, make predictions about future events, and recommend actions based on those predictions.
Some of the major players in the ai & machine learning operationalization software market are 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.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI & Machine Learning Operationalization Software Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 AI & Machine Learning Operationalization Software Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 AI & Machine Learning Operationalization Software Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the AI & Machine Learning Operationalization Software Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global AI & Machine Learning Operationalization Software Market Size & Forecast, 2018-2028
4.5.1 AI & Machine Learning Operationalization Software Market Size and Y-o-Y Growth
4.5.2 AI & Machine Learning Operationalization Software Market Absolute $ Opportunity
Chapter 5 Global AI & Machine Learning Operationalization Software Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 AI & Machine Learning Operationalization Software Market Size Forecast by Type
5.2.1 Cloud-Based
5.2.2 Web-Based
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global AI & Machine Learning Operationalization Software Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 AI & Machine Learning Operationalization Software Market Size Forecast by Applications
6.2.1 Large Enterprises
6.2.2 SMEs
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI & Machine Learning Operationalization Software Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 AI & Machine Learning Operationalization Software Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America AI & Machine Learning Operationalization Software Analysis and Forecast
9.1 Introduction
9.2 North America AI & Machine Learning Operationalization Software Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America AI & Machine Learning Operationalization Software Market Size Forecast by Type
9.6.1 Cloud-Based
9.6.2 Web-Based
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America AI & Machine Learning Operationalization Software Market Size Forecast by Applications
9.10.1 Large Enterprises
9.10.2 SMEs
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe AI & Machine Learning Operationalization Software Analysis and Forecast
10.1 Introduction
10.2 Europe AI & Machine Learning Operationalization Software Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe AI & Machine Learning Operationalization Software Market Size Forecast by Type
10.6.1 Cloud-Based
10.6.2 Web-Based
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe AI & Machine Learning Operationalization Software Market Size Forecast by Applications
10.10.1 Large Enterprises
10.10.2 SMEs
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific AI & Machine Learning Operationalization Software Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific AI & Machine Learning Operationalization Software Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific AI & Machine Learning Operationalization Software Market Size Forecast by Type
11.6.1 Cloud-Based
11.6.2 Web-Based
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific AI & Machine Learning Operationalization Software Market Size Forecast by Applications
11.10.1 Large Enterprises
11.10.2 SMEs
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America AI & Machine Learning Operationalization Software Analysis and Forecast
12.1 Introduction
12.2 Latin America AI & Machine Learning Operationalization Software Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America AI & Machine Learning Operationalization Software Market Size Forecast by Type
12.6.1 Cloud-Based
12.6.2 Web-Based
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America AI & Machine Learning Operationalization Software Market Size Forecast by Applications
12.10.1 Large Enterprises
12.10.2 SMEs
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) AI & Machine Learning Operationalization Software Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) AI & Machine Learning Operationalization Software Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) AI & Machine Learning Operationalization Software Market Size Forecast by Type
13.6.1 Cloud-Based
13.6.2 Web-Based
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) AI & Machine Learning Operationalization Software Market Size Forecast by Applications
13.10.1 Large Enterprises
13.10.2 SMEs
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 AI & Machine Learning Operationalization Software Market: Competitive Dashboard
14.2 Global AI & Machine Learning Operationalization Software Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Algorithmia
14.3.2 Spell
14.3.3 Valohai Ltd
14.3.4 5Analytics
14.3.5 Cognitivescale
14.3.6 Datatron Technologies
14.3.7 Acusense Technologies
14.3.8 Determined AI
14.3.9 DreamQuark
14.3.10 Logical Clocks
14.3.11 IBM
14.3.12 Imandra
14.3.13 Iterative
14.3.14 Databricks
14.3.15 ParallelM
14.3.16 MLPerf
14.3.17 Neptune Labs
14.3.18 Numericcal
14.3.19 Peltarion
14.3.20 Weights & Biases
14.3.21 WidgetBrain
