Subject: Understanding the Global Distribution and Methods of Data Creation
Purpose: This briefing note summarises insights into the geographical distribution of data creation and the predominant methods by which data is generated across different regions. The information helps in understanding global data dynamics, regional strengths and potential areas for policy development, investment or further research.
Key Insights:
Global Distribution of Data Creation:
- Asia
leads in total data creation, generating approximately 2,000 exabytes
(EB) per year, driven by large populations and rapid technological
growth.
- North
America and Europe follow, producing 1,500 EB/year and 1,000
EB/year, respectively, with North America hosting the largest share of
global data centres (45%).
- Latin
America and Africa contribute significantly less in terms of
volume, with 300 EB/year and 200 EB/year respectively but are emerging
regions in data creation, particularly in mobile and fintech sectors.
- Data
Centres:
- North
America holds 45% of the world’s data centres, benefiting from its
technological infrastructure and economic activities.
- Europe,
with 25%, is guided by stringent data protection regulations (e.g.,
GDPR), influencing its data management practices.
- Asia,
despite its high data creation, hosts 20% of data centres, reflecting
both growing infrastructure and significant data sovereignty
considerations.
- Latin
America and Africa each hold 5%, indicative of developing infrastructure
and emerging digital economies.
Table 1: Data Creation and Data Centres by Region
Region |
Estimated Data Creation (EB/year) |
Percentage of Total Data Centres |
North
America |
1,500 |
45% |
Europe |
1,000 |
25% |
Asia |
2,000 |
20% |
Latin
America |
300 |
5% |
Africa |
200 |
5% |
- Methods
of Data Creation by Region:
- North
America: Dominant in business transactions (30%) and user-generated
content (25%), reflecting strong e-commerce, financial sectors and
social media usage. Government and public services contribute 20%,
with scientific research and automated systems playing
supportive roles.
- Europe:
Balanced across business transactions and government services
(each 25%), supported by robust public healthcare and regulatory
frameworks. Scientific research and user-generated content
each contribute 20%, with automated systems accounting for 10%.
- Asia:
Strong in user-generated content (30%) and business
transactions (25%), driven by large populations and widespread
internet use. Significant contributions from automated systems
(20%), with government data collection also prominent.
- Latin
America: Equally split between user-generated content and business
transactions (both 25%). Government and public services and automated
systems are notable contributors (20% each).
- Africa:
Leading in user-generated content (30%), reflecting rising social
media and mobile communication. Equal contributions from business
transactions, government services and automated systems
(20% each).
Table 2: Data Creation Methods by Region (Percentage)
Region |
User-Generated Content (%) |
Business Transactions (%) |
Government and Public
Services (%) |
Scientific Research (%) |
Automated Systems and IoT
(%) |
North America |
25 |
30 |
20 |
15 |
10 |
Europe |
20 |
25 |
25 |
20 |
10 |
Asia |
30 |
25 |
15 |
10 |
20 |
Latin America |
25 |
25 |
20 |
10 |
20 |
Africa |
30 |
20 |
20 |
10 |
20 |
- Emerging
Trends:
- Asia
and Africa: Show a higher percentage of data creation through user-generated
content and automated systems, indicating growing internet
penetration and technological adoption.
- Europe:
Maintains strong regulatory frameworks influencing its balanced data
creation profile, particularly in government services and scientific
research.
- North
America: Remains a global leader in business transactions and user-generated
content, reflecting its dominance in e-commerce, financial services
and social media platforms.
Conclusions and Implications:
- Economic
and Technological Influence: North America and Asia are powerhouses in
data creation, with the former leading in infrastructure (data centres)
and the latter in volume. Europe’s regulatory environment ensures a
balanced approach to data creation.
- Emerging
Regions: Latin America and Africa are rapidly increasing their
contributions to global data, particularly through mobile technologies and
fintech, representing significant growth potential.
- Strategic
Importance: Understanding these patterns is crucial for developing
policies related to data governance, privacy and international data flows.
Investment in data infrastructure, particularly in emerging regions, could
lead to substantial economic and technological gains.
Recommendations:
- Investment
in Infrastructure: Focus on expanding data centres and technological
infrastructure in emerging regions like Latin America and Africa to
support their growing data creation needs.
- Policy
Development: Tailor data governance frameworks to address the unique
needs of each region, particularly focusing on data privacy and security
in regions with high user-generated content.
- Research
and Collaboration: Promote international collaboration in data
research, particularly in regions with strong scientific contributions
like Europe and North America, to leverage global expertise.
This briefing provides an overview of the geographical and
methodological aspects of global data creation, serving as a foundation for
decision-making in data governance, investment and international collaboration.
Sources:
1. Digital 2023: Global Overview Report — DataReportal – Global Digital Insights https://datareportal.com/reports/digital-2023-global-overview-report
2. International Data Corporation (IDC). (2021). The Global DataSphere: Available at: https://www.idc.com
3. European Commission. (n.d.). Data Protection in the EU. Available at: https://ec.europa.eu/info/law/law-topic/data-protection/data-protection-eu_en
4. China Internet Network Information Center (CNNIC). (2021). Statistical Report on Internet Development in China. Available at: https://www.cnnic.com.cn/IDR/BasicData/
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Disclaimer:
Please note that parts of this post were assisted by an Artificial Intelligence (AI) tool. The AI has been used to generate certain content and provide information synthesis. While every effort has been made to ensure accuracy, the AI's contributions are based on its training data and algorithms and should be considered as supplementary information.
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