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How has the ai and machine learning operationalization software market evolved, and where is it heading next?
The AI and machine learning operationalization software market size has grown exponentially in recent years. It will grow from $5.36 billion in 2024 to $7.68 billion in 2025 at a compound annual growth rate (CAGR) of 43.1%. The growth in the historic period can be attributed to an increase in disposable income, increased adoption of AI and ML, data explosion, demand for operational efficiency, cost reduction, and 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 $31.88 billion in 2029 at a compound annual growth rate (CAGR) of 42.8%. The growth in the forecast period can be attributed to the growing trend of urbanization, the adoption of AutoML is on the rise, increasing demand for streamlined processes, growing availability of various vehicle categories, growing with the adaption of several industries, increasingly adopting hybrid and multi-cloud strategies. Major trends in the forecast period include technological advancement, industry-specific solutions, integration of IoT and edge computing, hybrid cloud deployments, automation, and DevOps integration.
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What are the key drivers behind the rapid expansion of the ai and machine learning operationalization software market?
The increased internet penetration is expected to propel the growth of the AI and machine learning operationalization software market going forward. Internet penetration refers to the percentage of a population’s access to the Internet within a certain geographical area, usually a country or region. The rise in Internet penetration rates is because of enhanced infrastructure, consumer need for connectivity, and increased demand for device compatibility. The Internet allows for the smooth deployment, management, and scaling of AI and ML models via operationalization software, simplifying data access, collaboration, deployment, monitoring, and interface with other services. For instance, in November 2022, according to a publication by the International Telecommunication Union (ITU), a Switzerland-based United Nations agency, global Internet penetration reached an estimated 5.3 billion people, representing 66% of the world’s population in 2022, with a growth of 6.1% over 2021. Therefore, the increased internet penetration is driving the growth of the AI and machine learning operationalization software market.
What is the segmentation for 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 most influential companies 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.
What are the most influential trends expected to drive the ai and machine learning operationalization software market forward?
Major companies operating in the AI and machine learning operationalization software market are developing new technologically advanced infrastructure such as serverless AI and machine learning engines, to gain a competitive edge in the market. A serverless AI and machine learning engine refers to a computing infrastructure that allows 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., a US-based software company, launched the Teradata AI Unlimited platform on Amazon Web Services (AWS) cloud. Teradata AI Unlimited on AWS combines its sophisticated ClearScape Analytics capabilities with a low-cost environment designed to encourage experimentation and discovery. The platform is specifically designed to cater to data scientists, data engineers, and developers, providing them with tools to explore new applications for AI using data at scale. It offers features such as serverless AI and machine learning engines, compute and in-engine analytics, and native integration within the AWS AI ecosystem. Additionally, the platform supports a bring-your-own-model approach and provides access to various data lake formats, enabling users to transition from model prototyping to production environments seamlessly. It is a comprehensive AI platform that can effectively support AI and ML operationalization within its broader AI development workflow.
What are the major regional insights for the ai and machine learning operationalization software market, and which region holds the top position?
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.
What Does The AI And Machine Learning Operationalization Software Market Report 2025 Offer?
The ai and machine learning operationalization software market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
AI and machine learning operationalization software refers to a collection of tools, platforms, and frameworks used to automate the deployment, administration, and scaling of artificial intelligence (AI) and machine learning (ML) models in production contexts. This software makes it easier to integrate AI and machine-learning algorithms into business processes and applications.
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