The global AI data collection market is rapidly evolving, driven by increasing demand for high-quality, large-scale, and ethically sourced data. The market is expected to experience significant growth, with the global AI data center market projected to grow from $236.44 billion in 2025 to $933.76 billion by 2030, at a compound annual growth rate (CAGR) of 31.6%. Similarly, the data collection and labeling market is expected to reach $13.82 billion by 2030, growing at a CAGR of 22.9% from 2025.
Several key players are shaping the industry, including SO Development, Appen, Sama, Clickworker, and CloudFactory. These companies are known for their expertise in delivering high-quality data collection and annotation services, often with a focus on specific industries or applications. For example, Sama is a pioneer in ethical AI data annotation, focusing on domains like assistive technology, medical AI, and urban planning.
The industry is also being influenced by external factors, such as the imposition of new tariffs by the United States in 2025. These tariffs have introduced complex dynamics that reverberate across the data collection and labeling ecosystem, leading to cost escalations and reassessments of capital expenditure budgets.
As the global AI data collection market continues to evolve, it is likely to be shaped by a range of factors, including technological advancements, changing regulatory requirements, and shifting market demands. The convergence of AI adoption, sovereign data rules, and infrastructure innovation will have wide-ranging repercussions for technology strategies, investment allocation, and digital policy across markets.
Overall, the global AI data collection market is a rapidly evolving and complex space, driven by increasing demand for high-quality data and shaped by a range of internal and external factors. As the market continues to grow and mature, it is likely to play an increasingly important role in supporting the development and deployment of AI technologies.