Press release
Shaping the Machine Learning Market in 2025: Focus On Automated Machine Learning To Automate The Process
How Big Is the Machine Learning Market Expected to Be, and What Will Its Growth Rate Be?The machine learning market has witnessed exponential growth in recent years. It will increase from $68.88 billion in 2024 to $94.35 billion in 2025, at a CAGR of 37.0%. This growth can be linked to advancements in algorithms, increasing data availability, enhanced computing power, industry integration, and the rise of IoT and edge computing.
The machine learning market is projected to grow to $329.8 billion by 2029, driven by ethical AI concerns, data growth, and edge computing. Key trends include automated ML, big data, federated learning, and industry-specific ML solutions.
What Are the Primary Growth Drivers for the Machine Learning Market?
The increasing use of cloud-based platforms is expected to boost the growth of the machine learning market. Cloud-based platforms enable users to access applications, storage, and processing power over the internet without needing physical infrastructure. These platforms also facilitate collaboration and integration with other services. In October 2023, Ofcom reported that the UK cloud infrastructure market was valued at approximately £7.0 billion ($7.69 billion) in 2022, and 41.4% of global tech leaders plan to increase investment in cloud-based services in 2023. Therefore, the adoption of cloud-based platforms is driving the machine learning market's growth.
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Who Are the Dominant Companies Influencing Machine Learning Market Trends?
Major companies operating in the machine learning market report are Google Inc., Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, SAP SE, Hewlett Packard Enterprise Development LP, Baidu Inc., Intel Corporation, SAS Institute Inc., Fair Isaac Corporation, Alteryx, Dataiku, H2o.AI, KNIME.com AG, Alpine Data, Peltarion, RapidMiner Inc., BigML Inc., Luminoso Technologies Inc., Turing Analytics
How Is the Machine Learning Market Evolving?
In the machine learning market, companies are prioritizing automated machine learning tools to streamline processes. These tools automate model selection, training, and deployment, making machine learning accessible even for those with limited expertise. For example, in April 2023, AND Solutions Pte Ltd., a Singapore-based fintech company, launched the NIKO AutoML platform. This platform allows users to create and deploy high-quality machine learning models without the need for coding or data science skills, optimizing productivity and cost-effectiveness with its user-friendly interface.
What Are the Different Segmentations in the Machine Learning Market?
The machine learning market covered in this report is segmented -
1) By Component Outlook: Hardware, Software
2) By Deployment: Cloud, On-Premises
3) By Type: Large Enterprises, Small And Medium Enterprise
4) By End-User: Healthcare, Retail, BFSI, Manufacturing, IT And Telecom, Energy And Utilities, Agriculture, Automotive, marketing And Advertising
Subsegments:
1) By Hardware: Graphics Processing Units (GPUs), Application-Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), Central Processing Units (CPUs), Memory And Storage Devices
2) By Software: Machine Learning Frameworks And Libraries, Data Processing And Analytics Tools, Model Development Platforms, Deployment And Integration Software, Pre-Built AI Solutions
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Which Region Is at the Forefront of the Machine Learning Market?
North America was the largest region in the machine learning market in 2024. Europe is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Is Covered In The Machine Learning Global Market Report?
- Market Size Analysis: Analyze the Machine Learning Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the Machine Learning Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the Market.
- Market Contribution: Evaluate contributions of different segments to the overall Machine Learning Market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the Machine Learning Market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.
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