The AI Builder Market is being driven by Pressing need to democratize AI development amid persistent talent shortage
The AI Builder Market is expected to grow at a CAGR of 34% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 15367.1 million. The global AI builder market is witnessing a significant shift, with businesses and organizations moving away from proprietary, closed-source foundation models towards open-source and sovereign alternatives. This trend is driven by the growing demand for greater control, transparency, cost-efficiency, and customization. Open-source large language models (LLMs) have gained immense popularity as a result, offering high-performance capabilities that rival proprietary models. The release of Meta's Llama 2 for commercial use in July 2023 marked a pivotal moment, providing a freely available foundation model for numerous innovative applications. This transition represents a transformative force in the AI builder market, empowering businesses to build customized solutions while reducing reliance on a few dominant players.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
246 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 34% |
Market growth 2025-2029 |
USD 15367.1 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
32.0 |
Key countries |
US, China, Germany, Japan, UK, Canada, France, India, South Korea, and Brazil |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The AI Builder Market encompasses various machine learning techniques such as neural network architecture, supervised learning, unsupervised learning, reinforcement learning, transfer learning, and active learning. These methods involve feature engineering, hyperparameter tuning, and model evaluation metrics like training data quality, model accuracy, precision and recall, f1 score, and roc curve. Cognitive computing, AI-driven automation, and intelligent automation are key applications. Integration strategies include API integration, cloud computing platforms, big data analytics, data warehousing, data mining, data governance, and knowledge management. Decision making tools, risk management tools, and compliance management are essential components for effective AI implementation.
The global IT software market encompasses businesses specializing in the creation and distribution of application, system, and database management software. Notably, the application software sector focuses on developing customized software for business and consumer needs, including enterprise and technical solutions, as well as cloud-based applications. Technavio's market analysis includes the consolidated revenue of organizations providing various types of IT software, such as machine learning models, natural language processing, deep learning algorithms, computer vision systems, and cloud-based solutions. This market size calculation excludes companies producing interactive home entertainment software and those classified under the systems software sub-industry, specifically database management software.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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