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AI And Machine Learning Operationalization Software Market Landscape to 2034: Key Forces Shaping the Next Decade of Growth

07-24-2025 10:32 AM CET | IT, New Media & Software

Press release from: The Business Research Company

AI And Machine Learning Operationalization Software

AI And Machine Learning Operationalization Software

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How Large Will the AI And Machine Learning Operationalization Software Market Size By 2025?
The market size of the operationalization software for AI and machine learning has seen massive expansion in the past few years. Expert projections indicate that the market will grow from $5.36 billion in 2024 to $7.68 billion in 2025, reflecting a compound annual growth rate (CAGR) of 43.1%. The robust growth in the prior period can be attributed to several factors such as higher disposable income, wider adoption of AI and ML technologies, the explosion of data, rising demand for operational efficiency, cost-cutting, and adherence to regulatory guidelines.

How Big Is the AI And Machine Learning Operationalization Software Market Size Expected to Grow by 2029?
The market for AI and machine learning operationalization software is set to experience incredible expansion over the coming years, with an estimated worth of $31.88 billion by 2029, which represents a compound annual growth rate of 42.8%. Factors contributing to the predicted growth during this period include the upsurge in urbanization rates, the proliferation of AutoML adoption, an increased focus on efficiency, a broadening range of vehicle types, and industry-wide adaption. Additionally, the heightened preference for hybrid and multi-cloud strategies is likely to be a key driving force. Emerging trends during this forecast period encompass technological innovation, solutions tailored to specific industries, the convergence of IoT with edge computing, hybrid cloud adoption, automation, and the incorporation of DevOps.

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Which Key Market Drivers Powering AI And Machine Learning Operationalization Software Market Expansion and Growth?
The growth trajectory of the AI and machine learning operationalization software market is anticipated to be propelled by heightened internet access worldwide. Internet penetration essentially refers to the ratio of people with Internet access in a specified geographical region, usually confined to a country or zone. This surge in Internet accessibility is attributed to improved infrastructure, customer demand for connectivity, and the rising requisites for device compatibility. The internet facilitates the effortless installment, administration, and expansion of AI and ML models via operationalization software, which streamlines data accessibility, cooperation, implementation, inspection, and interaction with other services. For instance, the International Telecommunication Union (ITU), a UN-based agency in Switzerland, stated in a November 2022 publication that global internet penetration extended to about 5.3 billion individuals. This figure accounts for 66% of the global population in 2022, indicating a growth of 6.1% compared to 2021. Consequently, it's evident that the escalation in internet penetration is fueling the advancement of the AI and machine learning operationalization software market.

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Which Fast-Growing Trends Are Poised to Disrupt the AI And Machine Learning Operationalization Software Market?
Leading corporations in the AI and machine learning operationalization software market are pioneering new advanced technology infrastructure including serverless AI and machine learning engines in order to secure a competitive advantage. The term 'serverless AI and machine learning engine' refers to a computing infrastructure that allows users to execute and manage AI and machine learning models without the requirement to provide or handle servers. For example, Teradata Corp., a software company based in the U.S., rolled out the Teradata AI Unlimited platform on Amazon Web Services (AWS) cloud, in November 2023. The platform, specifically engineered for data scientists, data engineers and developers, merges its advanced ClearScape Analytics capabilities with a cost-friendly environment to foster exploration and discovery. It incorporates features like serverless AI and machine learning engines, compute and in-engine analytics, and has a natural integration within the AWS AI habitat. The platform also facilitates a bring-your-own-model approach and grants access to a range of data lake formats, easing the transition from model prototyping to production environments. In its broader AI development workflow, it serves as an extensive AI platform effectively facilitating AI and ML operationalization.

What Are the Emerging Segments in the AI And Machine Learning Operationalization Software Market?
The AI and machine learning operationalization software market covered in this report is segmented -

1) By Product Type: Cloud-based, Web-based
2) 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

Subsegments:
1) By Cloud-Based: Public Cloud, Private Cloud, Hybrid Cloud
2) By Web-Based: Browser-Based Applications, Platform-Independent Web-Based Solutions

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Who Are the Global Leaders in the AI And Machine Learning Operationalization Software Market?
Major companies operating in the AI and machine learning operationalization software market report 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.

Which are the Top Profitable Regional Markets for the AI And Machine Learning Operationalization Software Industry?
North America was the largest region in the AI and machine learning operationalization software market in 2024. 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.

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