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1460665

群眾外包資料收集市場 - 全球產業規模、佔有率、趨勢、機會和預測，按平台類型、最終用戶、地區、競爭細分，2019-2029F

Crowd Sourced Data Collection Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Platform Type, By End User, By Region, By Competition, 2019-2029F

出版日期: 2024年04月03日 | 出版商:

TechSci Research | 英文 181 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023 年，全球群眾外包資料收集市場估值為 10.8 億美元，預計在預測期內將強勁成長，到 2029 年CAGR為 13.19%。

群眾外包資料收集市場是指利用多元化、分散式的個人或貢獻者群體的集體努力來收集和編譯資料的新興產業。在這個充滿活力的市場中，企業、組織和研究實體利用線上平台和行動應用程式吸引全球參與者收集資訊、見解或回饋。這些貢獻者通常被稱為“人群”，自願貢獻資料，涵蓋廣泛的主題，例如消費者偏好、產品評論、地理空間資訊等。

市場的吸引力在於其可擴展性、成本效益以及提供即時和多樣化資料集的能力。群眾外包資料收集平台採用各種方法，包括調查、任務和挑戰，來激勵參與者並確保廣泛的觀點。因此，群眾外包資料收集市場在為企業和行業提供有價值、及時且通常廣泛的資料集、促進市場研究和產品開發等多個領域的資料驅動決策過程方面發揮關鍵作用。城市規劃和公共政策。

主要市場促進因素

對即時數據洞察的需求不斷成長

The crowd-sourced data collection market refers to an emerging industry that leverages the collective efforts of a diverse and distributed group of individuals or contributors to gather and compile data. In this dynamic market, businesses, organizations, and research entities utilize online platforms and mobile applications to engage a global pool of participants in the collection of information, insights, or feedback. These contributors, often referred to as the "crowd," contribute data voluntarily, covering a wide range of topics such as consumer preferences, product reviews, geospatial information, and more.

The market's appeal lies in its scalability, cost-effectiveness, and ability to provide real-time and diverse datasets. Crowd-sourced data collection platforms employ various methodologies, including surveys, tasks, and challenges, to motivate participants and ensure a broad spectrum of perspectives. As a result, the crowd-sourced data collection market plays a pivotal role in supplying businesses and industries with valuable, timely, and often extensive datasets, facilitating data-driven decision-making processes across a multitude of sectors, from market research and product development to urban planning and public policy.

Key Market Drivers

Growing Demand for Real-Time Data Insights

The global crowd-sourced data collection market is experiencing a significant upswing due to the escalating demand for real-time data insights across various industries. Traditional data collection methods often involve time-consuming processes, making it challenging for businesses to adapt swiftly to dynamic market conditions. Crowd-sourced data collection offers a solution by enabling organizations to gather information rapidly and efficiently.

In today's fast-paced business environment, the ability to make data-driven decisions in real-time has become a competitive advantage. Crowd-sourced data collection platforms allow companies to tap into a diverse pool of contributors worldwide, facilitating the collection of up-to-the-minute information. This agility is crucial for industries such as retail, finance, and healthcare, where timely insights can influence strategy, marketing campaigns, and overall business operations.

As businesses continue to recognize the importance of agility and responsiveness, the demand for crowd-sourced data collection services is expected to surge, propelling the market forward.

Global Connectivity and Technological Advancements

The increasing global connectivity and technological advancements play a pivotal role in driving the growth of the crowd-sourced data collection market. With the widespread availability of high-speed internet and the proliferation of smartphones, individuals from diverse geographic locations can seamlessly participate in data collection initiatives.

Technological advancements have also streamlined the process of gathering and managing crowd-sourced data. Mobile applications, cloud computing, and sophisticated algorithms enhance the efficiency and accuracy of data collection, making it more appealing to businesses seeking comprehensive and reliable insights.

The ubiquity of connected devices, coupled with advancements in data analytics and machine learning, enables crowd-sourced data collection platforms to handle large volumes of information efficiently. This technological prowess not only attracts businesses but also empowers contributors by providing them with user-friendly tools to participate in data collection initiatives.

Cost-Effective and Scalable Solutions

Cost-effectiveness and scalability are crucial drivers propelling the growth of the crowd-sourced data collection market. Traditional data collection methods often involve substantial expenses related to hiring field agents, conducting surveys, and maintaining physical infrastructure. In contrast, crowd-sourced data collection leverages the power of a distributed workforce, significantly reducing operational costs.

The scalability of crowd-sourced data collection platforms allows businesses to adapt to varying project sizes seamlessly. Whether a company needs insights from a small targeted group or aims to collect data on a global scale, crowd-sourced solutions provide the flexibility to scale up or down as required. This scalability ensures that organizations can efficiently manage resources and control costs, making crowd-sourced data collection an attractive option for businesses of all sizes.

Enhanced Data Diversity and Depth

One of the key drivers fueling the global crowd-sourced data collection market is the ability to tap into diverse data sources and obtain deeper insights. Traditional data collection methods may be limited by geographic constraints or demographic biases, hindering the breadth and depth of information gathered.

Crowd-sourced data collection platforms overcome these limitations by engaging a vast and varied pool of contributors. This diversity extends beyond geographical boundaries, encompassing a wide range of demographics, interests, and expertise. As a result, businesses can access a more comprehensive and representative dataset, leading to richer insights and more accurate analyses.

The depth of information obtained through crowd-sourced data collection is further amplified by the ability to gather real-time, contextual data. Contributors, often acting as 'micro-experts' in their respective domains, provide nuanced information that enhances the overall quality and relevance of the collected data.

Evolving Regulatory Landscape and Data Privacy Concerns

The evolving regulatory landscape and increasing data privacy concerns are emerging as drivers shaping the crowd-sourced data collection market. As governments worldwide enact stricter regulations to safeguard individual privacy and regulate data usage, businesses are compelled to adopt compliant data collection methods.

Crowd-sourced data collection platforms, cognizant of these regulatory changes, implement robust mechanisms to ensure data privacy and compliance with relevant laws. By adhering to strict ethical standards and incorporating features such as anonymization and consent management, these platforms offer businesses a trustworthy and legally compliant means of gathering valuable insights.

As organizations become more vigilant about data privacy and regulatory compliance, the demand for crowd-sourced data collection services is likely to grow, driven by the need for solutions that align with evolving legal frameworks.

Increasing Complexity of Data Analysis

The increasing complexity of data analysis is driving businesses to turn to crowd-sourced data collection as a means of handling diverse and intricate datasets. Traditional methods may struggle to cope with the sheer volume and intricacy of modern data sources, including unstructured data from social media, sensor networks, and other emerging channels.

Crowd-sourced data collection platforms often integrate advanced analytics tools and artificial intelligence algorithms to sift through and derive meaningful insights from complex datasets. By leveraging the collective intelligence of contributors, these platforms enhance the analytical capabilities of businesses, enabling them to extract valuable patterns, trends, and correlations from vast and intricate datasets.

As businesses grapple with the challenges posed by the complexity of modern data, the demand for crowd-sourced data collection services is likely to intensify, positioning these platforms as essential components of effective data analysis strategies.

In conclusion, the global crowd-sourced data collection market is being propelled forward by a confluence of factors, including the demand for real-time insights, global connectivity, cost-effective solutions, enhanced data diversity, evolving regulatory landscapes, and the increasing complexity of data analysis. These drivers collectively underscore the importance of crowd-sourced data collection in meeting the evolving needs of businesses across various industries.

Government Policies are Likely to Propel the Market

Data Privacy and Protection Regulations

As the global crowd-sourced data collection market continues to expand, governments worldwide are enacting and refining policies to regulate the privacy and protection of data collected through crowd-sourced initiatives. The increasing prevalence of data breaches and privacy concerns has prompted legislators to establish robust frameworks that safeguard individuals' personal information while ensuring the responsible use of crowdsourced data by businesses.

To achieve these objectives, governments have implemented comprehensive data privacy laws and regulations that dictate how organizations can collect, process, store, and share data obtained through crowd-sourced platforms. These policies often require explicit user consent, transparent data practices, and the implementation of security measures to protect against unauthorized access and data breaches. Additionally, governments may mandate the appointment of data protection officers and impose severe penalties for non-compliance, incentivizing businesses to adhere to these regulations.

These regulations not only serve to protect individuals but also foster trust in crowd-sourced data collection, encouraging wider participation and collaboration while ensuring ethical and responsible data handling practices.

Ethical Standards and Guidelines for Data Collection

Governments worldwide are recognizing the need to establish ethical standards and guidelines for crowd-sourced data collection to ensure fair and responsible practices. Ethical considerations in data collection encompass issues such as transparency, consent, and the treatment of contributors. Policies in this domain aim to create a framework that promotes fairness, honesty, and accountability in the crowd-sourced data collection process.

Ethical guidelines often require clear communication of the purpose of data collection to contributors, ensuring that they are fully informed about how their data will be used. Governments may also mandate the inclusion of ethical training and guidelines for organizations utilizing crowd-sourced data, emphasizing the importance of respecting contributors' rights and ensuring a positive experience for all involved parties.

By establishing ethical standards, governments aim to foster a culture of responsible data collection, strengthening the reputation of the crowd-sourced data collection market and mitigating potential risks associated with unethical practices.

Accessibility and Inclusivity Standards

In recognition of the global nature of crowd-sourced data collection and the potential impact on diverse communities, governments are formulating policies to ensure accessibility and inclusivity. These policies aim to eliminate barriers that may prevent certain demographics or regions from participating in crowd-sourced initiatives, thereby promoting a more representative and equitable data collection landscape.

To achieve accessibility and inclusivity, governments may incentivize the development of user-friendly interfaces, multilingual platforms, and initiatives that bridge the digital divide. Additionally, policies may encourage organizations to actively engage with underrepresented communities, ensuring that the benefits of crowd-sourced data collection are accessible to a wide spectrum of society.

By incorporating accessibility and inclusivity standards into government policies, authorities seek to maximize the positive impact of crowd-sourced data collection while minimizing disparities and ensuring that the benefits reach all segments of the population.

Intellectual Property Protection for Contributors

Governments are increasingly recognizing the need to address intellectual property concerns related to crowd-sourced data collection, aiming to protect the rights of contributors and incentivize their participation. Policies in this realm focus on clarifying ownership, usage rights, and compensation mechanisms for the intellectual property generated by contributors during data collection initiatives.

These policies may establish frameworks that explicitly outline the rights of contributors to the data they provide, addressing issues such as data ownership, licensing agreements, and the ability of contributors to retain control over their intellectual property. Governments may also encourage organizations to adopt fair compensation practices, recognizing the value that contributors bring to the data collection process.

By safeguarding the intellectual property rights of contributors, governments aim to create a conducive environment for sustained and enthusiastic participation in crowd-sourced data collection initiatives.

Cybersecurity and Data Breach Response Protocols

With the increasing frequency and sophistication of cyber threats, governments are implementing policies to ensure the cybersecurity of crowd-sourced data and establish clear protocols for responding to data breaches. These policies address the importance of securing data throughout its lifecycle, from collection to storage and transmission, to mitigate the risks of unauthorized access and data compromise.

Governments may stipulate cybersecurity standards that organizations must adhere to when conducting crowd-sourced data collection, including encryption requirements, secure storage practices, and regular security audits. Additionally, policies often mandate the development of robust data breach response protocols, ensuring that organizations are well-equipped to detect, report, and address security incidents promptly.

By prioritizing cybersecurity in government policies, authorities seek to fortify the resilience of the crowd-sourced data collection market, instilling confidence in contributors and businesses alike regarding the security of the data being collected.

Collaboration and Standardization Initiatives

Governments are increasingly recognizing the need to foster collaboration and standardization within the crowd-sourced data collection market. Policymakers are taking steps to encourage the development of industry standards, best practices, and collaborative initiatives that enhance the interoperability and consistency of crowd-sourced data collection platforms.

These policies may involve the establishment of industry consortia, partnerships between government agencies and private entities, and the facilitation of knowledge-sharing forums. By promoting collaboration and standardization, governments aim to create a more cohesive and efficient crowd-sourced data collection ecosystem, where data can be seamlessly shared, analyzed, and utilized across different platforms and industries.

Moreover, standardization initiatives can contribute to increased trust among stakeholders, as adherence to recognized standards signals a commitment to quality, reliability, and ethical practices in crowd-sourced data collection.

Government policies in the global crowd-sourced data collection market encompass a range of critical areas, including data privacy, ethical standards, accessibility, intellectual property protection, cybersecurity, and collaboration. These policies collectively aim to create a regulatory framework that promotes responsible, inclusive, and secure practices, fostering the sustained growth and positive impact of the crowd-sourced data collection industry.

Key Market Challenges

Quality Assurance and Data Reliability

One of the significant challenges facing the global crowd-sourced data collection market is ensuring the quality and reliability of the collected data. As the scale of crowd-sourced initiatives continues to grow, maintaining high data quality becomes a critical concern for businesses and organizations relying on this information for decision-making processes.

The distributed nature of crowd-sourced data collection introduces inherent challenges related to the diverse backgrounds, motivations, and capabilities of contributors. Unlike traditional data collection methods where trained professionals may gather information, crowd-sourced initiatives involve individuals with varying levels of expertise. This diversity can result in inconsistencies, inaccuracies, and even intentional misinformation in the collected data.

Ensuring data quality in a crowd-sourced environment requires robust validation mechanisms, including checks for redundancy, accuracy, and authenticity. However, implementing these mechanisms without stifling the openness and accessibility of crowd-sourced platforms is a delicate balancing act. Striking the right balance between inclusivity and quality assurance is a complex challenge that the industry must address to enhance the reliability of crowd-sourced data.

Additionally, addressing the challenge of data reliability involves considering factors such as contributor reputation, feedback mechanisms, and the continuous improvement of validation algorithms. Governments, businesses, and platform providers need to collaborate to establish industry standards and best practices that elevate the quality of crowd-sourced data, ensuring its credibility and usefulness in diverse applications.

To overcome this challenge, the industry should invest in research and development to advance data validation technologies, promote transparency in data collection processes, and educate contributors about the importance of accuracy. Emphasizing the value of high-quality data and implementing innovative solutions will be crucial for the sustained growth and credibility of the global crowd-sourced data collection market.

Ethical and Legal Concerns

The global crowd-sourced data collection market is grappling with a range of ethical and legal challenges, reflecting the complex interplay between the open nature of crowd-sourced initiatives and the need to protect individual rights and privacy. As the industry expands, concerns related to consent, transparency, and the responsible use of collected data have come to the forefront.

One of the central ethical challenges involves obtaining informed consent from contributors who participate in crowd-sourced data collection. Ensuring that individuals fully understand how their data will be used, stored, and shared is a critical aspect of ethical data collection. However, striking a balance between comprehensive disclosure and user-friendly participation processes is a delicate task. In some instances, contributors may not be fully aware of the potential consequences of sharing certain types of information, leading to ethical dilemmas regarding the use of their data.

Furthermore, privacy concerns are amplified by the global nature of crowd-sourced initiatives. Different countries have varying regulations and cultural norms regarding data privacy, adding complexity to the development of universally ethical practices. Navigating this landscape requires careful consideration of local laws, cultural sensitivities, and global ethical standards to ensure that crowd-sourced data collection aligns with accepted norms and values.

Governments and industry stakeholders must collaborate to establish clear ethical guidelines and legal frameworks that protect the rights of contributors while allowing for the innovative and valuable applications of crowd-sourced data. This may involve the development of international standards for ethical data collection, as well as mechanisms for cross-border collaboration and compliance.

To address these ethical and legal concerns, the industry should prioritize user education, implement transparent data governance practices, and actively engage with regulatory bodies to shape policies that strike a balance between innovation and protection. By proactively addressing these challenges, the global crowd-sourced data collection market can build a foundation of trust and ethical integrity, fostering sustainable growth and positive societal impact.

Key Market Trends

Emergence of Blockchain-Based Solutions for Secure Data Collection and Verification

Blockchain technology is gaining traction as a disruptive force in the global crowd-sourced data collection market, offering novel solutions for secure data collection, verification, and incentivization. Several key trends are driving the adoption of blockchain-based platforms in this space:

Data Integrity and Transparency: Blockchain provides a decentralized and immutable ledger that records every transaction or interaction, ensuring the integrity and transparency of the data collected. By leveraging blockchain technology, crowd-sourced platforms can guarantee the authenticity of contributions, preventing tampering or manipulation of data by malicious actors. This enhances trust among participants and stakeholders, fostering greater collaboration and accountability in the data collection process.

Tokenized Incentives: Blockchain-based platforms can tokenize incentives using cryptocurrencies or digital tokens, enabling transparent and tamper-proof reward mechanisms for contributors. Smart contracts, programmable scripts executed on the blockchain, can automate the distribution of incentives based on predefined criteria, such as the quality or quantity of contributions. This incentivization model encourages active participation and ensures fair compensation for contributors, driving engagement and productivity in crowd-sourced data collection initiatives.

Decentralized Governance: Blockchain technology facilitates decentralized governance models, allowing community members to participate in decision-making processes related to platform development, rules, and protocols. Through consensus mechanisms such as proof-of-stake or decentralized autonomous organizations (DAOs), participants can collectively govern the platform's operations, ensuring democratic control and alignment with the interests of the community. This decentralized governance structure enhances the resilience, scalability, and sustainability of crowd-sourced data collection platforms, mitigating the risks associated with centralized control or manipulation.

Segmental Insights

End User Insights

The IT Telecommunication segment held the largest Market share in 2023. The IT Telecommunication sector operates in a rapidly evolving environment with continuously changing technologies, consumer behaviors, and market trends. Crowd-sourced data collection provides a flexible and agile way for companies to adapt to these changes by gathering real-time insights.

IT and telecommunication companies often rely on user feedback to improve their products and services. Crowd-sourced data allows them to collect valuable insights directly from users, enabling quick adjustments and enhancements to meet evolving customer expectations.

Many IT and telecommunication services have a global user base. Crowd-sourced data collection platforms can tap into a diverse and widespread crowd, providing a comprehensive perspective on user experiences, preferences, and challenges across different regions.

Crowd-sourced testing has become a common practice in the IT sector. Engaging a diverse group of individuals to test software applications, websites, or telecommunication services can help identify issues, improve quality, and ensure a positive user experience.

The IT Telecommunication industry is at the forefront of innovation, including emerging technologies such as 5G, IoT, and AI. Crowd-sourced data collection allows companies to gather insights on the adoption and impact of these technologies, shaping their strategies and offerings accordingly.

The ability to quickly deploy crowd-sourced data collection initiatives aligns with the fast-paced nature of the IT sector. Companies can gather data on new features, updates, or market responses in real-time, facilitating swift decision-making and implementation.

Given the competitive nature of the IT Telecommunication industry, companies that can harness crowd-sourced data effectively gain a competitive advantage. The insights derived from the crowd can inform strategic decisions, enhance user satisfaction, and drive innovation.

Regional Insights

North America held the largest marker share in the global crowd-sourced data collection market in 2023. This is due to the early adoption of crowd-sourcing technology and the presence of major players in the region, such as Amazon Mechanical Turk and Lionbridge.

North America, particularly the United States, is a leader in technological innovation. The region is home to many tech companies, startups, and research institutions that drive advancements in crowd-sourced data collection platforms and technologies.

North America has a robust digital infrastructure, including widespread internet access, mobile connectivity, and advanced data centers. This infrastructure supports the efficient collection, processing, and analysis of crowd-sourced data, making the region an ideal environment for such initiatives.

With a population of over 360 million people in the United States alone, North America offers a large and diverse user base for crowd-sourced data collection platforms. The high adoption rates of smartphones and internet-connected devices further contribute to the region's dominance in this market.

North America has a thriving innovation ecosystem characterized by collaboration between academia, industry, and government. This ecosystem fosters the development of new crowd-sourced data collection platforms, as well as the integration of cutting-edge technologies such as artificial intelligence and machine learning.

The entrepreneurial spirit and culture of risk-taking in North America encourage the emergence of startups and small businesses focused on crowd-sourced data collection. These companies often disrupt traditional data collection methods by offering innovative, user-friendly platforms that incentivize participation from a diverse range of contributors.

North America generally has a favorable regulatory environment for data collection and sharing, which encourages the growth of crowd-sourced data initiatives. While privacy regulations such as GDPR in Europe and CCPA in California exist, they also provide guidelines that allow for responsible and ethical data collection practices.

North America is home to some of the world's largest technology companies, such as Google, Facebook, and Amazon, which operate platforms that facilitate crowd-sourced data collection. These companies leverage their vast user bases and technological resources to gather and analyze large volumes of crowd-sourced data.

Key Market Players

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, in addition to the industry trends which have also been detailed below:

Crowd Sourced Data Collection Market,By Platform Type:

Open Service Platform
Managed Service Platform

Crowd Sourced Data Collection Market,By End User:

Healthcare
Education
Non-Profit Organization
IT Telecommunication
Media

Crowd Sourced Data Collection Market, By Region:

North America
- United States
- Canada
- Mexico
Europe
- France
- United Kingdom
- Italy
- Germany
- Spain
Asia-Pacific
- China
- India
- Japan
- Australia
- South Korea
South America
- Brazil
- Argentina
- Colombia
Middle East Africa
- South Africa
- Saudi Arabia
- UAE
- Kuwait
- Turkey

Competitive Landscape

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

Available Customizations:

Global Crowd Sourced Data Collection Market report with the given Market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

1.Service Overview

1.1.Market Definition
1.2.Scope of the Market
- 1.2.1.Markets Covered
- 1.2.2.Years Considered for Study
1.3.Key Market Segmentations

2.Research Methodology

2.1.Objective of the Study
2.2.Baseline Methodology
2.3.Formulation of the Scope
2.4.Assumptions and Limitations
2.5.Sources of Research
- 2.5.1.Secondary Research
- 2.5.2.Primary Research
2.6.Approach for the Market Study
- 2.6.1.The Bottom-Up Approach
- 2.6.2.The Top-Down Approach
2.7.Methodology Followed for Calculation of Market Size Market Shares
2.8.Forecasting Methodology
- 2.8.1.Data Triangulation Validation

3.Executive Summary

4.Voice of Customer

5.Global Crowd Sourced Data Collection Market Outlook

5.1.Market Size Forecast
- 5.1.1.By Value
5.2.Market Share Forecast
- 5.2.1.By Platform Type (Open Service Platform, Managed Service Platform),
- 5.2.2.By End User (Healthcare, Education, Non-Profit Organization, IT Telecommunication, Media)
- 5.2.3.By Region
- 5.2.4.By Company (2023)
5.3.Market Map

6.North America Crowd Sourced Data Collection Market Outlook

6.1.Market Size Forecast
- 6.1.1.By Value
6.2.Market Share Forecast
- 6.2.1.ByPlatform Type
- 6.2.2.ByEnd User
- 6.2.3.By Country
6.3.North America: Country Analysis
- 6.3.1.United States Crowd Sourced Data Collection Market Outlook
  - 6.3.1.1.Market Size Forecast
    - 6.3.1.1.1.By Value
  - 6.3.1.2.Market Share Forecast
    - 6.3.1.2.1.ByPlatform Type
    - 6.3.1.2.2.ByEnd User
- 6.3.2.Canada Crowd Sourced Data Collection Market Outlook
  - 6.3.2.1.Market Size Forecast
    - 6.3.2.1.1.By Value
  - 6.3.2.2.Market Share Forecast
    - 6.3.2.2.1.ByPlatform Type
    - 6.3.2.2.2.ByEnd User
- 6.3.3.Mexico Crowd Sourced Data Collection Market Outlook
  - 6.3.3.1.Market Size Forecast
    - 6.3.3.1.1.By Value
  - 6.3.3.2.Market Share Forecast
    - 6.3.3.2.1.ByPlatform Type
    - 6.3.3.2.2.ByEnd User

7.Europe Crowd Sourced Data Collection Market Outlook

7.1.Market Size Forecast
- 7.1.1.By Value
7.2.Market Share Forecast
- 7.2.1.ByPlatform Type
- 7.2.2.ByEnd User
- 7.2.3.By Country
7.3.Europe: Country Analysis
- 7.3.1.Germany Crowd Sourced Data Collection Market Outlook
  - 7.3.1.1.Market Size Forecast
    - 7.3.1.1.1.By Value
  - 7.3.1.2.Market Share Forecast
    - 7.3.1.2.1.ByPlatform Type
    - 7.3.1.2.2.ByEnd User
- 7.3.2.United Kingdom Crowd Sourced Data Collection Market Outlook
  - 7.3.2.1.Market Size Forecast
    - 7.3.2.1.1.By Value
  - 7.3.2.2.Market Share Forecast
    - 7.3.2.2.1.ByPlatform Type
    - 7.3.2.2.2.ByEnd User
- 7.3.3.Italy Crowd Sourced Data Collection Market Outlook
  - 7.3.3.1.Market Size Forecast
    - 7.3.3.1.1.By Value
  - 7.3.3.2.Market Share Forecast
    - 7.3.3.2.1.ByPlatform Type
    - 7.3.3.2.2.ByEnd User
- 7.3.4.France Crowd Sourced Data Collection Market Outlook
  - 7.3.4.1.Market Size Forecast
    - 7.3.4.1.1.By Value
  - 7.3.4.2.Market Share Forecast
    - 7.3.4.2.1.ByPlatform Type
    - 7.3.4.2.2.ByEnd User
- 7.3.5.Spain Crowd Sourced Data Collection Market Outlook
  - 7.3.5.1.Market Size Forecast
    - 7.3.5.1.1.By Value
  - 7.3.5.2.Market Share Forecast
    - 7.3.5.2.1.ByPlatform Type
    - 7.3.5.2.2.ByEnd User

8.Asia-Pacific Crowd Sourced Data Collection Market Outlook

8.1.Market Size Forecast
- 8.1.1.By Value
8.2.Market Share Forecast
- 8.2.1.ByPlatform Type
- 8.2.2.ByEnd User
- 8.2.3.By Country
8.3.Asia-Pacific: Country Analysis
- 8.3.1.China Crowd Sourced Data Collection Market Outlook
  - 8.3.1.1.Market Size Forecast
    - 8.3.1.1.1.By Value
  - 8.3.1.2.Market Share Forecast
    - 8.3.1.2.1.ByPlatform Type
    - 8.3.1.2.2.ByEnd User
- 8.3.2.India Crowd Sourced Data Collection Market Outlook
  - 8.3.2.1.Market Size Forecast
    - 8.3.2.1.1.By Value
  - 8.3.2.2.Market Share Forecast
    - 8.3.2.2.1.ByPlatform Type
    - 8.3.2.2.2.ByEnd User
- 8.3.3.Japan Crowd Sourced Data Collection Market Outlook
  - 8.3.3.1.Market Size Forecast
    - 8.3.3.1.1.By Value
  - 8.3.3.2.Market Share Forecast
    - 8.3.3.2.1.ByPlatform Type
    - 8.3.3.2.2.ByEnd User
- 8.3.4.South Korea Crowd Sourced Data Collection Market Outlook
  - 8.3.4.1.Market Size Forecast
    - 8.3.4.1.1.By Value
  - 8.3.4.2.Market Share Forecast
    - 8.3.4.2.1.ByPlatform Type
    - 8.3.4.2.2.ByEnd User
- 8.3.5.Australia Crowd Sourced Data Collection Market Outlook
  - 8.3.5.1.Market Size Forecast
    - 8.3.5.1.1.By Value
  - 8.3.5.2.Market Share Forecast
    - 8.3.5.2.1.ByPlatform Type
    - 8.3.5.2.2.ByEnd User

9.South America Crowd Sourced Data Collection Market Outlook

9.1.Market Size Forecast
- 9.1.1.By Value
9.2.Market Share Forecast
- 9.2.1.ByPlatform Type
- 9.2.2.ByEnd User
- 9.2.3.By Country
9.3.South America: Country Analysis
- 9.3.1.Brazil Crowd Sourced Data Collection Market Outlook
  - 9.3.1.1.Market Size Forecast
    - 9.3.1.1.1.By Value
  - 9.3.1.2.Market Share Forecast
    - 9.3.1.2.1.ByPlatform Type
    - 9.3.1.2.2.ByEnd User
- 9.3.2.Argentina Crowd Sourced Data Collection Market Outlook
  - 9.3.2.1.Market Size Forecast
    - 9.3.2.1.1.By Value
  - 9.3.2.2.Market Share Forecast
    - 9.3.2.2.1.ByPlatform Type
    - 9.3.2.2.2.ByEnd User
- 9.3.3.Colombia Crowd Sourced Data Collection Market Outlook
  - 9.3.3.1.Market Size Forecast
    - 9.3.3.1.1.By Value
  - 9.3.3.2.Market Share Forecast
    - 9.3.3.2.1.ByPlatform Type
    - 9.3.3.2.2.ByEnd User

10.Middle East and Africa Crowd Sourced Data Collection Market Outlook

10.1.Market Size Forecast
- 10.1.1.By Value
10.2.Market Share Forecast
- 10.2.1.ByPlatform Type
- 10.2.2.ByEnd User
- 10.2.3.By Country
10.3.Middle East and Africa: Country Analysis
- 10.3.1.South Africa Crowd Sourced Data Collection Market Outlook
  - 10.3.1.1.Market Size Forecast
    - 10.3.1.1.1.By Value
  - 10.3.1.2.Market Share Forecast
    - 10.3.1.2.1.ByPlatform Type
    - 10.3.1.2.2.ByEnd User
- 10.3.2.Saudi Arabia Crowd Sourced Data Collection Market Outlook
  - 10.3.2.1.Market Size Forecast
    - 10.3.2.1.1.By Value
  - 10.3.2.2.Market Share Forecast
    - 10.3.2.2.1.ByPlatform Type
    - 10.3.2.2.2.ByEnd User
- 10.3.3.UAE Crowd Sourced Data Collection Market Outlook
  - 10.3.3.1.Market Size Forecast
    - 10.3.3.1.1.By Value
  - 10.3.3.2.Market Share Forecast
    - 10.3.3.2.1.ByPlatform Type
    - 10.3.3.2.2.ByEnd User
- 10.3.4.Kuwait Crowd Sourced Data Collection Market Outlook
  - 10.3.4.1.Market Size Forecast
    - 10.3.4.1.1.By Value
  - 10.3.4.2.Market Share Forecast
    - 10.3.4.2.1.ByPlatform Type
    - 10.3.4.2.2.ByEnd User
- 10.3.5.Turkey Crowd Sourced Data Collection Market Outlook
  - 10.3.5.1.Market Size Forecast
    - 10.3.5.1.1.By Value
  - 10.3.5.2.Market Share Forecast
    - 10.3.5.2.1.ByPlatform Type
    - 10.3.5.2.2.ByEnd User

11.Market Dynamics

11.1.Drivers
11.2.Challenges

12.Market Trends Developments

13.Company Profiles

13.1.Amazon Mechanical Turk Inc.
- 13.1.1.Business Overview
- 13.1.2.Key Revenue and Financials
- 13.1.3.Recent Developments
- 13.1.4.Key Personnel/Key Contact Person
- 13.1.5.Key Product/Services Offered
13.2.Clickworker GmbH
- 13.2.1.Business Overview
- 13.2.2.Key Revenue and Financials
- 13.2.3.Recent Developments
- 13.2.4.Key Personnel/Key Contact Person
- 13.2.5.Key Product/Services Offered
13.3.Samasource Impact Sourcing, Inc.
- 13.3.1.Business Overview
- 13.3.2.Key Revenue and Financials
- 13.3.3.Recent Developments
- 13.3.4.Key Personnel/Key Contact Person
- 13.3.5.Key Product/Services Offered
13.4.Appen Limited
- 13.4.1.Business Overview
- 13.4.2.Key Revenue and Financials
- 13.4.3.Recent Developments
- 13.4.4.Key Personnel/Key Contact Person
- 13.4.5.Key Product/Services Offered
13.5.Telus International (Telus Communications Inc.)
- 13.5.1.Business Overview
- 13.5.2.Key Revenue and Financials
- 13.5.3.Recent Developments
- 13.5.4.Key Personnel/Key Contact Person
- 13.5.5.Key Product/Services Offered
13.6.SunTech.AI
- 13.6.1.Business Overview
- 13.6.2.Key Revenue and Financials
- 13.6.3.Recent Developments
- 13.6.4.Key Personnel/Key Contact Person
- 13.6.5.Key Product/Services Offered
13.7.Amazon Web Services Inc.
- 13.7.1.Business Overview
- 13.7.2.Key Revenue and Financials
- 13.7.3.Recent Developments
- 13.7.4.Key Personnel/Key Contact Person
- 13.7.5.Key Product/Services Offered
13.8.Lionbridge Technologies LLC
- 13.8.1.Business Overview
- 13.8.2.Key Revenue and Financials
- 13.8.3.Recent Developments
- 13.8.4.Key Personnel/Key Contact Person
- 13.8.5.Key Product/Services Offered
13.9.Kaggle Inc.
- 13.9.1.Business Overview
- 13.9.2.Key Revenue and Financials
- 13.9.3.Recent Developments
- 13.9.4.Key Personnel/Key Contact Person
- 13.9.5.Key Product/Services Offered
13.10.Lusha Systems Inc.
- 13.10.1.Business Overview
- 13.10.2.Key Revenue and Financials
- 13.10.3.Recent Developments
- 13.10.4.Key Personnel/Key Contact Person
- 13.10.5.Key Product/Services Offered