Global Crowd-Sourced Data Collection Market Size, Forecast, and Trend Highlights Over 2025-2037
Crowd-Sourced Data Collection Market size was valued at USD 4.6 billion in 2024 and is projected to reach USD 17.5 billion by the end of 2037, expanding at a CAGR of 10.4% during the forecast period, i.e., 2025-2037. In 2025, the industry size of crowd-sourced data collection is evaluated at USD 4.6 billion.
The crowd-sourced data collection market’s growth is shaped by a complex global supply chain spanning transmission, collection, procession, and data distribution. Major components in this supply chain include sensor hardware, communication networks, and cloud infrastructure which facilitate the analysis as well as gathering of data. The assembly lines of crowd-sourced data collection tools, such as wearable tech and mobile device are reliant on imports from regions such as Taiwan and South Korea. The import and export data highlights that in 2023, the U.S. alone imported over USD 300 billion worth of semiconductors.
In terms of the economic indicators of the sector, the Producer Price Index (PPI) for electronics manufacturing has risen over the past few years. For instance, the higher costs of raw materials and supply chain disruptions ushered by geopolitical factors caused the PPI for electronic components to expand by 5.5%. Simultaneously, the Consumer Price Index (CPI) for personal technology devices, such as mobile phones and wearables, has reflected a moderate increase of 3.0% in the same year. The changes are due to the costs incurred in the distribution and manufacturing of crowd-sourced data collection tools.
Additionally, the market is currently undergoing transformation due to sustained investments in infrastructure and technology. A vital aspect of this development is the deployment of AI-powered analytics that have improved the accuracy of data collection. Additionally, with the deployment of 5G networks becoming more widespread, the efficiency of data transfer across devices is poised to improve. The market is expected to maintain its growth throughout the forecast period by leveraging a set of favorable trends conducive to its expansion.
Crowd-Sourced Data Collection Sector: Growth Drivers and Challenges
Growth Drivers
- Government data privacy regulations catalyzing innovation in crowd-sourced data collection technologies: A major driver of the global crowd-sourced data collection market is the changes in data privacy regulations permeating multiple regional markets. The change has impacted the manner in which companies collect, store, and monetize crowd-sourced data. Additionally, the adoption of decentralized identity (DID) protocols based on W3C standards have enabled secure crowd-sourced data collection at scale. Major companies such as Microsoft and IBM are at the forefront of integrating DID frameworks into their enterprise platforms, and address the historical trust barriers in crowd-sourcing. This has unlocked a greater number of use cases in sectors such as healthcare and urban planning. In terms of opportunities, the growth driver is set to be sustainable for at least the next 7-10 years as data privacy regulations continue to evolve.
- The expansion of AI and ML in data processing and analysis: The advent of AI has bolstered the crowd-sourced data collection technologies. AI has improved the scope of data collecting creating lucrative opportunities within the market. For instance, in 2024, AI-powered data analytics platforms were integrated into more than 70% of new crowd-sourced data projects across vital sectors such as healthcare to consumer goods. AI allows platforms to process large volumes of data in real-time assisting in the automation of decision-making processes at previously unheard-of efficiencies. With AI becoming more accessible and the models become more efficient, the adoption rates are expected to expand significantly by the next ten years.
Cybersecurity Risks in the Global Crowd-Sourced Data Collection Market
The global crowd-sourced data collection market has faced escalating cybersecurity risks due to the overt reliance on decentralized data inputs and sensitive user information. In 2024, IBM reported that more than 66% of data breaches in the market is attributed to phishing, which exploits the inadequacy of employee training. Moreover, improved security protocols are poised to become the need of the hour due to frameworks such as the EU’s data act. The table below highlights the cyber attacks on key players, its impact, and potential remedies:
|
Company |
Cyber Attack |
Impact |
Potential Remedies to Mitigate the Impact |
|
Appen |
Phishing (2023) |
$2.1M loss, 10-day platform downtime |
AI-driven threat detection, MFA, employee training |
|
Toluna |
Ransomware (2024) |
$5.2M ransom, data leak of 1M user records |
Encryption, incident response plans, regular backups |
|
Qualtrics |
Data Breach (2023) |
Reputational damage, 500K user data exposed |
Network segmentation, DLP tools, compliance audits |
5G Deployment Impact on the Crowd-Sourced Data Collection Market
The global crowd-sourced data collection market is positively reinforced by the widespread deployment of 5G across multiple economies. 5G ensures real-time data collection in higher volumes. This is particularly important for industries that rely on massive data input from either consumers or remote systems, such as smart logistics, location-based services, and real-time analytics. The table below highlights the impact of 5G deployment:
|
Company |
Application |
Measurable Outcome (2023-2024) |
|
Siemens |
Manufacturing IoT |
18.5% downtime reduction via 5G-enabled sensors |
|
Maersk |
Logistics Tracking |
15.3% delay reduction with 5G IoT trackers |
|
Tesla |
Factory Automation |
25.6% productivity increase with private 5G |
Challenges
- Fragmented data quality standards across decentralized platforms: The global crowd-sourced data collection sector faces a significant challenge in the maintenance of consistent data quality across decentralized platforms. The challenge is pertinent in ensuring a consistent data quality across decentralized platforms, especially those leveraging DID protocols. With DID adoption growing, platforms such as uPort and Civic have enabled diverse contributors to supply data, but has varying standards for data validation.
Crowd-Sourced Data Collection Market: Key Insights
| Report Attribute | Details |
|---|---|
|
Base Year |
2024 |
|
Forecast Year |
2025-2037 |
|
CAGR |
10.4% |
|
Base Year Market Size (2024) |
USD 4.6 billion |
|
Forecast Year Market Size (2037) |
USD 17.5 billion |
|
Regional Scope |
|
Crowd-Sourced Data Collection Segmentation
Method (Sensor-Based, Survey-Based, Social Media Data Collection)
The sensor-based data collection is in crowd-sourced data collection market poised to hold a leading revenue share of 41.8% during the forecast period and emerge as the dominant segment. A vital factor driving the segment’s growth is the increasing usage of sensor-based data collection in healthcare applications. Additionally, the segment benefits from the rapid expansion of IoT devices which have ensured continuous data capture from varied environments. Moreover, the connected nature of the digital ecosystem that has proliferated multiple economies is poised to ensure sustained opportunities for the deployment of sensor-based data collection.
End user (Healthcare, Technology, Retail, Marketing)
The healthcare sector is projected to account for a significant revenue share during the forecast period. The healthcare sector’s growth is supported by the rising reliance on real-time data as the focus on personalized care increases. Opportunities are slated to be rife in countries with higher rates of disposable incomes and a mature healthcare sector that has embraced digitalization. Additionally, the proliferation of wearable health devices is allowing continuous data collection from patients, creating vast data streams that have improvement patient outcomes.
Our in-depth analysis of the global crowd-sourced data collection market includes the following segments:
|
Method |
|
|
End user |
|
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Customize this ReportCrowd-Sourced Data Collection Industry - Regional Synopsis
North America Market Forecast
The North America crowd-sourced data collection market is estimated to hold a leading revenue share of 41.3% throughout the forecast timeline. The regional market’s growth is attributed to the high adoption of IoT devices in the region. Additionally, the region benefits from a mature healthcare sector in the U.S. and Canada. Another trend bolstering the market in North America is the greater application in marketing, to predict consumer behavior patterns. The regulatory framework in North America remains supportive for the greater adoption of big data analytics, laying the foundation for the market’s sustained growth.
The U.S. crowd-sourced data collection market is poised to remain as the largest contributor in North America. A major driver of the regional market is the growing adoption of sensor-based data collection for wearable devices in healthcare. Additionally, the demand for smart consumer products in the retail sector has risen exponentially in the current decade. With the shift towards digital marketing solutions evident in the U.S., the domestic market is slated to hold on to its leading share in North America.
APAC Market Forecast
The APAC crowd-sourced data collection market is projected to exhibit the fastest expansion throughout the forecast period, rising at a CAGR of 15.3% throughout the forecast period. The regional market’s growth is fueled by the rapid digital transformation across countries such as Japan, South Korea, India, and others. The APAC market’s growth is also supported by the deployment of smart city initiatives, which are reliant on crowd-sourced data for urban planning. Additionally, APAC has one of the highest smartphone penetration rates, creating a rising requirement for mobile-first data collection methods.
The India market is slated to hold a dominant share in APAC. A key factor of growth is the large-scale smartphone penetration and a high-rate of population. Additionally, the government has been supportive in embracing nationwide digitalization through the Digital India mission. Opportunities are expected to be rife in the smart city missions in India as well as in digital marketing. The latter presents burgeoning opportunities for the application of data collection tools due an uptick in digital marketing agencies in the country.
Companies Dominating the Crowd-Sourced Data Collection Landscape
- Company Overview
- Business Strategy
- Key Product Offerings
- Financial Performance
- Key Performance Indicators
- Risk Analysis
- Recent Development
- Regional Presence
- SWOT Analysis
The crowd-sourced data collection market remains competitive, with major players in the ICT domain vying to expand their market share. Tech giants such as Google, Amazon, and Microsoft are major players due to considerable investments in AI and cloud-based data platforms. Additionally, opportunities within the market are set to be rife due to the surging demand to collect heterogenous crowd-sourced data for use in multiple sectors. The table below indicates the major players of the market:
|
Company Name |
Country |
Revenue Share (2024) |
|---|---|---|
|
Google LLC |
USA |
12.7% |
|
Amazon Web Services, Inc. |
USA |
10.2% |
|
Microsoft Corporation |
USA |
8.9% |
|
IBM Corporation |
USA |
7.4% |
|
Oracle Corporation |
USA |
6.3% |
|
SAP SE |
Germany |
xx% |
|
Siemens AG |
Germany |
xx% |
|
NTT Data Corporation |
Japan |
xx% |
|
Fujitsu Limited |
Japan |
xx% |
|
Samsung Electronics |
South Korea |
xx% |
|
LG Electronics |
South Korea |
xx% |
|
Cognizant Technology Solutions |
USA |
xx% |
|
Infosys Limited |
India |
xx% |
|
Tata Consultancy Services (TCS) |
India |
xx% |
|
Axiata Group Berhad |
Malaysia |
xx% |
Below are the areas covered for each company that is a key player in the crowd-sourced data collection market:
Recent Developments
- In March 2024, Microsoft announced an expansion of its Azure Data Share platform. The platform provides a comprehensive crowd-sourced data sharing solutions with improved security features. The solution is set to benefit multiple sectors.
- In January 2024, Amazon Web Services (AWS) launched an updated version of the Amazon SageMaker Ground Truth. The update incorporates new algorithms that allowed for efficient data labeling in major industries such as autonomous vehicle development and healthcare.
Author Credits: Abhishek Verma
- Report ID: 3459
- Published Date: Jun 02, 2025
- Report Format: PDF, PPT
