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Comprehensive Machine Learning Development Market Insights: Forecasting Size, Growth, and Competitive Trends from 2025 to 2034

03-28-2025 12:10 PM CET | IT, New Media & Software

Press release from: The Business Research Company

Machine Learning Development

Machine Learning Development

Which drivers are expected to have the greatest impact on the over the machine learning development market's growth?
The growth of the machine learning development market is anticipated to be propelled by the rising demand for cloud-based solutions. These solutions encompass resources, applications, and services that are hosted and served over the internet, as opposed to being on personal devices or local servers. The heightened use of cloud-based solutions can be attributed to aspects such as security and compliance, remote access to applications, a robust and resilient infrastructure, and a focus on security and compliance. Machine learning bolsters these solutions by facilitating more intelligent data analysis, automation, and personalized user experiences, thereby allowing for real-time insights on a scalable level and optimizing resource allocation to enhance efficiency and decision-making. For example, as per Eurostat, an official European Union site based in Luxembourg, there was a 4.2% rise in the adoption of cloud-based solutions across 2023, with 45.2% of companies utilizing cloud computing services, marking a significant increase from 2021. Consequently, the escalating demand for these solutions is fueling the expansion of the machine learning development market.

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What is the future CAGR of the machine learning development market, and how will it impact industry expansion?
The scale of the machine learning development sector has significantly expanded over the past few years. It is projected to escalate from $52.23 billion in 2024 to $74.16 billion in 2025, boasting a compound annual growth rate (CAGR) of 42.0%. The acceleration in the historical phase is due to factors like enhanced diagnostic speeds, improved accuracy of machine learning, heightened demand for machine learning services, surge in data volume, and an increase in internet usage.

Predictions suggest an accelerated expansion of the machine learning development market in the years ahead, with its value likely hitting $298.06 billion by 2029. This represents a compound annual growth rate (CAGR) of 41.6%. This surge over the forecast period is linked to factors such as enhanced infrastructure support, a surge in automation demand, growing data volumes, increased need for cloud-based solutions, a rising preference for tailored solutions and increasing knowledge on machine learning benefits. Key trends during this period include technological progression, advancements in AI technologies, the use of no-code and low-code technologies, the emergence of foundation models and multimodal learning, and the rise of automated machine learning (AutoML).

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What are the most significant trends transforming the machine learning development market today?
Key companies in the machine learning development market are concentrating on the creation of novel technologies like the integrated development environment (IDE) to boost the effectiveness and adaptability of their machine learning processes. IDEs custom-built for machine learning development offer tools and utilities specially designed for data scientists and machine learning engineers. These IDEs cover all aspects of machine learning workflows, from data pre-processing to model training and assessment. For example, in September 2023, Microchip Technology Inc., an American semiconductor firm, introduced MPLAB, a comprehensive suite for machine learning development. This suite offers an efficient workflow for developing ML models, enabling engineers to swiftly incorporate ML inference capabilities into their products. This is especially useful for embedded systems where aspects like efficiency, security, and power consumption are vital.

Which key market segments comprise the machine learning development market and drive its revenue growth?
The machine learning development market covered in this report is segmented -

1) By Deployment Mode: On-Premises; Cloud-Based
2) By Application: Predictive Maintenance; Fraud Detection and Prevention; Customer Segmentation; Image and Speech Recognition; Other Applications
3) By End-User: Healthcare; Finance; Retail; Manufacturing; Information Technology And Telecom; Other End-Users

Subsegments:
1) By On-Premises: On-Premises Machine Learning Development Platforms; On-Premises Data Storage for Machine Learning; On-Premises Machine Learning Model Training; On-Premises AI/ML Development Tools; On-Premises Machine Learning Frameworks
2) By Cloud-Based: Cloud-Based Machine Learning Development Platforms; Cloud-Based Data Storage and Processing for Machine Learning; Cloud-Based Model Training and Deployment; Cloud-Based AI/ML Development Services; Cloud-Based Machine Learning Frameworks and Libraries
3) By Managed Cloud ML Solutions

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What regions are at the forefront of machine learning development market expansion?
North America was the largest region in the machine learning development market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning development market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Who are the leading players fueling growth in the machine learning development market?
Major companies operating in the machine learning development market are Alphabet Inc., Microsoft Corporation, Mitsubishi Electric Corporation, Robert Bosch GmbH, Tencent Holdings Ltd., Amazon Web Services (AWS) Inc., Intel Corporation, Siemens AG, General Electric (GE), International Business Machines (IBM) Corporation, Schneider Electric SE, Honeywell International Inc., NVIDIA Corporation, Rockwell Automation, Fanuc, Dassault Systemes SA, Hexagon AB, Autodesk Inc., PTC Inc., Emerson Electric Co., Yokogawa Electric Corporation

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What Is Covered In The Machine Learning Development Global Market Report?

•Market Size Forecast: Examine the machine learning development market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the machine learning development market for a structured understanding.
•Key Players Overview: Analyze major players in the machine learning development market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the machine learning development market.
•Segment Contributions: Evaluate how different segments drive overall growth in the machine learning development market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the machine learning development market.
•Industry Challenges: Identify potential risks and obstacles affecting the machine learning development market.
•Competitive Landscape: Review strategic developments in the machine learning development market, including expansions, agreements, and new product launches.

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With over 15,000+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Our flagship product, the Global Market Model delivers comprehensive and updated forecasts to support informed decision-making.

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