Press release
AI And Machine Learning Operationalization Software Market Set to Reach $31.88 Billion by 2029 with 42.8% Yearly Growth
AI And Machine Learning Operationalization Software Market
The surge in internet penetration is predicted to fuel expansion in the AI and machine learning operationalization software market. This term refers to the ratio of people with Internet access within a particular geographic area, usually a country or region. The growth in Internet access is due to improved infrastructure, consumer demand for connectivity, and a rise in the demand for device compatibility. The internet facilitates seamless deployment, administration, and scaling of AI and ML models through operationalization software, streamlining data accessibility, cooperation, deployment, monitoring, and integration with other services. As an illustration, a report from the International Telecommunication Union (ITU), a United Nations entity based in Switzerland, noted in November 2022 that global internet penetration touched an approximate 5.3 billion people, marking 66% of the global population in 2022 and a growth of 6.1% from 2021. Hence, the boost in internet penetration is an impetus for growth in the AI and machine learning operationalization software market.
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What growth opportunities are expected to drive the ai and machine learning operationalization software market's CAGR through 2034?
In recent times, there's been a tremendous surge in the market size of AI and machine learning operationalization software. It is projected to escalate from $5.36 billion in 2024 to $7.68 billion in the forthcoming year of 2025, with a compound annual growth rate (CAGR) of a whopping 43.1%. This substantial growth during the historical period is owed to factors such as the rise in disposable income, heightened usage of AI and ML, data proliferation, the requirement for operational competence, cost curtailing, and adherence to regulations.
The operationalization software market for AI and machine learning is projected to undergo significant expansion in the coming years, swelling to a market size of $31.88 billion by 2029, with an impressive compound annual growth rate (CAGR) of 42.8%. This predicted surge over the forecast period is linked to several factors - the rising trend of urbanization, the increasing adoption of AutoML, a growing need for streamlined processes, the availability of multiple vehicle categories, and the adoption by numerous industries which are progressively embracing hybrid and multi-cloud strategies. Key trends to watch during the forecast period encompass technological progress, tailor-made solutions for specific industries, the amalgamation of IoT and edge computing, hybrid cloud implementations, automation, and integration with DevOps.
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What are the emerging trends shaping the future of the ai and machine learning operationalization software market?
Leading firms in the AI and machine learning operationalization software sector are striving for superiority by creating innovative infrastructure such as serverless AI and machine learning engines. These engines are a type of computing system that allows for the execution and deployment of AI and machine learning models without the requirement for server management or setup. As an example, in November 2023, US-based software entity, Teradata Corp., introduced the Teradata AI Unlimited platform via Amazon Web Services (AWS) cloud. This particular platform unites its advanced ClearScape Analytics abilities with a cost-effective environment aimed at fostering exploration and discovery. It is specifically built for data scientists, data engineers, and developers, offering them comprehensive tools to probe novel AI applications using large-scale data. Highlights of this platform include serverless AI and machine learning engines, computational and in-engine analytics, and a seamless integration within the AWS AI ecosystem. Plus, it supports a bring-your-own-model system and permits access to different data lake formats, thereby allowing users to smoothly transition from model prototyping to production environments. All in all, it's a holistic AI platform that efficaciously aids AI and ML operationalization within its wider AI development process.
Which growth-oriented segments of the ai and machine learning operationalization software market are leading the industry's development?
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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What regions are leading the charge in the ai and machine learning operationalization software market?
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 companies are at the forefront of innovation 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.
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What Is Covered In The AI And Machine Learning Operationalization Software Global Market Report?
• Market Size Forecast: Examine the ai and machine learning operationalization software market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the ai and machine learning operationalization software market for a structured understanding.
• Key Players Overview: Analyze major players in the ai and machine learning operationalization software market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the ai and machine learning operationalization software market.
• Segment Contributions: Evaluate how different segments drive overall growth in the ai and machine learning operationalization software market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the ai and machine learning operationalization software market.
• Industry Challenges: Identify potential risks and obstacles affecting the ai and machine learning operationalization software market.
• Competitive Landscape: Review strategic developments in the ai and machine learning operationalization software market, including expansions, agreements, and new product launches.
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