The AI and machine learning operationalization software market size has grown exponentially in recent years. It will grow from $3.77 billion in 2023 to $5.36 billion in 2024 at a compound annual growth rate (CAGR) of 42.4%. The expansion observed during the historical period can be attributed to an increase in disposable income, heightened adoption of AI and ML technologies, the proliferation of data, a growing demand for operational efficiency, cost reduction initiatives, and the need for regulatory compliance.
The AI and machine learning operationalization software market size is expected to see exponential growth in the next few years. It will grow to $22.33 billion in 2028 at a compound annual growth rate (CAGR) of 42.9%. The anticipated growth in the forecast period can be attributed to the growing trend of urbanization, the rising adoption of AutoML, increasing demand for streamlined processes, the expanding availability of various vehicle categories, and the growing integration of several industries. Additionally, the adoption of hybrid and multi-cloud strategies is increasingly becoming prevalent. Significant trends expected in the forecast period include technological advancements, the development of industry-specific solutions, the integration of IoT and edge computing, hybrid cloud deployments, automation, and the integration of DevOps practices.
The anticipated increase in internet penetration is poised to drive the growth of the market for AI and machine learning operationalization software in the foreseeable future. Internet penetration refers to the proportion of a population with access to the Internet within a specific geographic area, typically a country or region. The escalation in Internet penetration rates is attributable to improved infrastructure, consumer demand for connectivity, and the growing need for device compatibility. The Internet facilitates seamless deployment, management, and scaling of AI and ML models through operationalization software, streamlining data access, collaboration, deployment, monitoring, and integration with other services. For instance, as reported by the International Telecommunication Union (ITU) in November 2022, global Internet penetration reached an estimated 5.3 billion individuals, accounting for 66% of the world's population in 2022, marking a 6.1% increase over 2021. Consequently, the surge in internet penetration is propelling the expansion of the AI and machine learning operationalization software market.
Key players in the AI and machine learning operationalization software market are focusing on developing cutting-edge infrastructure, such as serverless AI and machine learning engines, to stay competitive. A serverless AI and machine learning engine is a computing infrastructure that enables users to deploy and run AI and machine learning models without the need to provision or manage servers. For instance, in November 2023, Teradata Corp. introduced the Teradata AI Unlimited platform on the Amazon Web Services (AWS) cloud. Combining its advanced ClearScape Analytics capabilities with a cost-effective environment optimized for experimentation and discovery, Teradata AI Unlimited on AWS caters specifically to data scientists, data engineers, and developers, empowering them to explore new AI applications using large-scale data. Offering features like serverless AI and machine learning engines, compute and in-engine analytics, and seamless integration within the AWS AI ecosystem, the platform supports a bring-your-own-model approach and facilitates smooth transition from model prototyping to production environments. It serves as a comprehensive AI platform facilitating AI and ML operationalization within a broader AI development workflow.
In July 2023, Bain & Company acquired Max Kelsen, aiming to collaborate on helping enterprises develop and operationalize impactful AI and ML-enabled use cases. Max Kelsen, based in Australia, specializes in AI and machine learning operationalization software.
Major companies operating in the AI and machine learning operationalization software market are Amazon Web Services Inc., Google LLC, Microsoft Corporation, Intel Corporation, International Business Machines Corporation, Oracle Corporation, SAP SE, Hewlett Packard Enterprise Company, SAS Institute Inc., Databricks Inc., DataRobot Inc., Weights & Biases Inc., CognitiveScale Inc., Peltarion AB, Iterative.ai, Valohai Oy, Logical Clocks AB, Algorithmia Inc., 5Analytics GmbH, Datatron Technologies Inc., Determined AI inc., DreamQuark SAS, Neptune Labs Inc., Imandra Inc., Spell Inc.
North America was the largest region in the AI and machine learning operationalization software market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI and machine learning operationalization software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the AI and machine learning operationalization software market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
AI and machine learning operationalization software refer to a suite of tools, platforms, and frameworks utilized to automate the deployment, administration, and scaling of artificial intelligence (AI) and machine learning (ML) models within production environments. This software streamlines the integration of AI and machine-learning algorithms into business processes and applications.
The primary product types of AI and machine learning operationalization software comprise cloud-based and web-based solutions. Cloud-based platforms are technologies that operate and store data on remote servers accessible via the Internet. These platforms offer diverse functionalities including model training and experimentation, model deployment and management, model monitoring and governance, and ML workflow automation. They find application across various industries including manufacturing, finance, healthcare, retail, IT and telecommunications, catering to both large enterprises and small and medium enterprises (SMEs).
The AI and machine learning operationalization software market research report is one of a series of new reports that provides AI and machine learning operationalization software market statistics, including AI and machine learning operationalization software industry global market size, regional shares, competitors with AI and machine learning operationalization software market share, detailed AI and machine learning operationalization software market segments, market trends, and opportunities, and any further data you may need to thrive in the AI and machine learning operationalization software industry. This AI and machine learning operationalization software market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The AI and machine learning operationalization software market includes revenues earned by entities by providing services, such as model versioning, monitoring, governance, and scalability. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
The AI and machine learning operationalization software market size is expected to see exponential growth in the next few years. It will grow to $22.33 billion in 2028 at a compound annual growth rate (CAGR) of 42.9%. The anticipated growth in the forecast period can be attributed to the growing trend of urbanization, the rising adoption of AutoML, increasing demand for streamlined processes, the expanding availability of various vehicle categories, and the growing integration of several industries. Additionally, the adoption of hybrid and multi-cloud strategies is increasingly becoming prevalent. Significant trends expected in the forecast period include technological advancements, the development of industry-specific solutions, the integration of IoT and edge computing, hybrid cloud deployments, automation, and the integration of DevOps practices.
The anticipated increase in internet penetration is poised to drive the growth of the market for AI and machine learning operationalization software in the foreseeable future. Internet penetration refers to the proportion of a population with access to the Internet within a specific geographic area, typically a country or region. The escalation in Internet penetration rates is attributable to improved infrastructure, consumer demand for connectivity, and the growing need for device compatibility. The Internet facilitates seamless deployment, management, and scaling of AI and ML models through operationalization software, streamlining data access, collaboration, deployment, monitoring, and integration with other services. For instance, as reported by the International Telecommunication Union (ITU) in November 2022, global Internet penetration reached an estimated 5.3 billion individuals, accounting for 66% of the world's population in 2022, marking a 6.1% increase over 2021. Consequently, the surge in internet penetration is propelling the expansion of the AI and machine learning operationalization software market.
Key players in the AI and machine learning operationalization software market are focusing on developing cutting-edge infrastructure, such as serverless AI and machine learning engines, to stay competitive. A serverless AI and machine learning engine is a computing infrastructure that enables users to deploy and run AI and machine learning models without the need to provision or manage servers. For instance, in November 2023, Teradata Corp. introduced the Teradata AI Unlimited platform on the Amazon Web Services (AWS) cloud. Combining its advanced ClearScape Analytics capabilities with a cost-effective environment optimized for experimentation and discovery, Teradata AI Unlimited on AWS caters specifically to data scientists, data engineers, and developers, empowering them to explore new AI applications using large-scale data. Offering features like serverless AI and machine learning engines, compute and in-engine analytics, and seamless integration within the AWS AI ecosystem, the platform supports a bring-your-own-model approach and facilitates smooth transition from model prototyping to production environments. It serves as a comprehensive AI platform facilitating AI and ML operationalization within a broader AI development workflow.
In July 2023, Bain & Company acquired Max Kelsen, aiming to collaborate on helping enterprises develop and operationalize impactful AI and ML-enabled use cases. Max Kelsen, based in Australia, specializes in AI and machine learning operationalization software.
Major companies operating in the AI and machine learning operationalization software market are Amazon Web Services Inc., Google LLC, Microsoft Corporation, Intel Corporation, International Business Machines Corporation, Oracle Corporation, SAP SE, Hewlett Packard Enterprise Company, SAS Institute Inc., Databricks Inc., DataRobot Inc., Weights & Biases Inc., CognitiveScale Inc., Peltarion AB, Iterative.ai, Valohai Oy, Logical Clocks AB, Algorithmia Inc., 5Analytics GmbH, Datatron Technologies Inc., Determined AI inc., DreamQuark SAS, Neptune Labs Inc., Imandra Inc., Spell Inc.
North America was the largest region in the AI and machine learning operationalization software market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI and machine learning operationalization software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the AI and machine learning operationalization software market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
AI and machine learning operationalization software refer to a suite of tools, platforms, and frameworks utilized to automate the deployment, administration, and scaling of artificial intelligence (AI) and machine learning (ML) models within production environments. This software streamlines the integration of AI and machine-learning algorithms into business processes and applications.
The primary product types of AI and machine learning operationalization software comprise cloud-based and web-based solutions. Cloud-based platforms are technologies that operate and store data on remote servers accessible via the Internet. These platforms offer diverse functionalities including model training and experimentation, model deployment and management, model monitoring and governance, and ML workflow automation. They find application across various industries including manufacturing, finance, healthcare, retail, IT and telecommunications, catering to both large enterprises and small and medium enterprises (SMEs).
The AI and machine learning operationalization software market research report is one of a series of new reports that provides AI and machine learning operationalization software market statistics, including AI and machine learning operationalization software industry global market size, regional shares, competitors with AI and machine learning operationalization software market share, detailed AI and machine learning operationalization software market segments, market trends, and opportunities, and any further data you may need to thrive in the AI and machine learning operationalization software industry. This AI and machine learning operationalization software market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The AI and machine learning operationalization software market includes revenues earned by entities by providing services, such as model versioning, monitoring, governance, and scalability. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. AI and Machine Learning Operationalization Software Market Characteristics3. AI and Machine Learning Operationalization Software Market Trends and Strategies32. Global AI and Machine Learning Operationalization Software Market Competitive Benchmarking33. Global AI and Machine Learning Operationalization Software Market Competitive Dashboard34. Key Mergers and Acquisitions in the AI and Machine Learning Operationalization Software Market
4. AI and Machine Learning Operationalization Software Market - Macro Economic Scenario
5. Global AI and Machine Learning Operationalization Software Market Size and Growth
6. AI and Machine Learning Operationalization Software Market Segmentation
7. AI and Machine Learning Operationalization Software Market Regional and Country Analysis
8. Asia-Pacific AI and Machine Learning Operationalization Software Market
9. China AI and Machine Learning Operationalization Software Market
10. India AI and Machine Learning Operationalization Software Market
11. Japan AI and Machine Learning Operationalization Software Market
12. Australia AI and Machine Learning Operationalization Software Market
13. Indonesia AI and Machine Learning Operationalization Software Market
14. South Korea AI and Machine Learning Operationalization Software Market
15. Western Europe AI and Machine Learning Operationalization Software Market
16. UK AI and Machine Learning Operationalization Software Market
17. Germany AI and Machine Learning Operationalization Software Market
18. France AI and Machine Learning Operationalization Software Market
19. Italy AI and Machine Learning Operationalization Software Market
20. Spain AI and Machine Learning Operationalization Software Market
21. Eastern Europe AI and Machine Learning Operationalization Software Market
22. Russia AI and Machine Learning Operationalization Software Market
23. North America AI and Machine Learning Operationalization Software Market
24. USA AI and Machine Learning Operationalization Software Market
25. Canada AI and Machine Learning Operationalization Software Market
26. South America AI and Machine Learning Operationalization Software Market
27. Brazil AI and Machine Learning Operationalization Software Market
28. Middle East AI and Machine Learning Operationalization Software Market
29. Africa AI and Machine Learning Operationalization Software Market
30. AI and Machine Learning Operationalization Software Market Competitive Landscape and Company Profiles
31. AI and Machine Learning Operationalization Software Market Other Major and Innovative Companies
35. AI and Machine Learning Operationalization Software Market Future Outlook and Potential Analysis
36. Appendix
Executive Summary
AI and Machine Learning Operationalization Software Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on AI and machine learning operationalization software market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for AI and machine learning operationalization software? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The AI and machine learning operationalization software market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
- The impact of higher inflation in many countries and the resulting spike in interest rates.
- The continued but declining impact of COVID-19 on supply chains and consumption patterns.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) by Product Type: Cloud-based; Web-based2) by Functionality: Model Training and Experimentation; Model Deployment and Management; Model Monitoring and Governance; ML Workflow Automation
3) by Application: Large Enterprises; Small and Medium Enterprises (SMEs)
4) by Industry: Manufacturing; Finance; Healthcare; Retail; IT and Telecommunications; Other Industries
Key Companies Mentioned: Amazon Web Services Inc.; Google LLC; Microsoft Corporation; Intel Corporation; International Business Machines Corporation
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Amazon Web Services Inc.
- Google LLC
- Microsoft Corporation
- Intel Corporation
- International Business Machines Corporation
- Oracle Corporation
- SAP SE
- Hewlett Packard Enterprise Company
- SAS Institute Inc.
- Databricks Inc.
- DataRobot Inc.
- Weights & Biases Inc.
- CognitiveScale Inc.
- Peltarion AB
- Iterative.ai
- Valohai Oy
- Logical Clocks AB
- Algorithmia Inc.
- 5Analytics GmbH
- Datatron Technologies Inc.
- Determined AI Inc.
- DreamQuark SAS
- Neptune Labs Inc.
- Imandra Inc.
- Spell Inc.
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 175 |
Published | June 2024 |
Forecast Period | 2024 - 2028 |
Estimated Market Value ( USD | $ 5.36 Billion |
Forecasted Market Value ( USD | $ 22.33 Billion |
Compound Annual Growth Rate | 42.9% |
Regions Covered | Global |