Crowd Sourced Data Collection Market - Global Industry Size, Share, Trends, Opportunity, & Forecast, 2020-2030

Education is the fastest growing segment, North America is the largest market globally

The Global Crowd Sourced Data Collection Market, valued at USD 1.60 Billion in 2024, is projected to experience a CAGR of 14.19% to reach USD 3.55 Billion by 2030. Crowd-sourced data collection involves obtaining information, often in substantial volumes, from a diverse and distributed group of individuals, typically facilitated through digital platforms, for various analytical or project-specific requirements. Primary drivers supporting this market's expansion include the escalating demand for varied and real-time datasets across numerous industries, the inherent cost-effectiveness and scalability achieved by engaging a global workforce, and the increasing integration of artificial intelligence and machine learning technologies that necessitate extensive training data.

Key Market Drivers

Ubiquitous connectivity and advanced digital infrastructure, coupled with a growing demand for real-time data insights, are primary drivers for the global crowd-sourced data collection market. Pervasive internet access and sophisticated mobile devices form the foundational framework, enabling a geographically dispersed workforce for seamless task distribution and efficient data aggregation. This widespread digital foundation effectively overcomes traditional geographical limitations for data contribution. According to GSMA’s "The Mobile Economy 2024" report, published in February 2024, 4.6 billion people were mobile internet users by the end of 2023, illustrating the immense pool of potential global contributors.

Key Market Challenges

The paramount challenge impeding the expansion of the Global Crowd Sourced Data Collection Market is the imperative to maintain consistent data quality and reliability. This difficulty stems inherently from the decentralized nature of data acquisition and the diverse expertise levels prevalent among contributors. Without robust validation and management protocols, the variability in data quality can be substantial, leading to concerns regarding accuracy and trustworthiness.

Key Market Trends

AI Integration in Platform Operations represents a significant shift, moving beyond AI as merely a consumer of data to becoming an integral component within the operational frameworks of crowdsourced data collection platforms. This trend involves leveraging artificial intelligence for automated task allocation, real-time quality assurance, anomaly detection, and streamlined contributor management, thereby enhancing efficiency and scalability. According to an IEEE survey engaging 350 technology leaders globally, 65% viewed AI as one of the top three technological domains in 2024, highlighting its broad influence across the tech industry.

Key Market Players Profiled:

• Amazon Mechanical Turk Inc.
• Lionbridge Technologies LLC
• Clickworker GmbH
• Samasource Impact Sourcing, Inc.
• Appen Limited
• Telus International (Telus Communcations Inc.)
• SunTech.AI
• Amazon Web Services Inc.
• Kaggle Inc.
• Lusha Systems Inc.

Report Scope:

In this report, the Global Crowd Sourced Data Collection Market has been segmented into the following categories:

By Platform Type:

• Open Service Platform
• Managed Service Platform

By End User:

• Healthcare
• Education
• Non-Profit Organization
• IT & Telecommunication
• Media

By Region:

• North America
• Europe
• Asia Pacific
• South America
• Middle East & Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Crowd Sourced Data Collection Market.

Available Customizations:

With the given market data, the publisher offers customizations according to a company's specific needs. The following customization options are available for the report:

• Detailed analysis and profiling of additional market players (up to five).

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