Discrete and continuous aren’t just math labels—they determine how you represent change in time. On this page, you’ll connect the concepts to real analytics decisions across cloud, data centers, and edge environments, from reliability targets to performance and protection. You’ll also see how observability and security context influence whether a metric behaves like a count/event or a flowing signal.
Key Takeaways
- World-wide public cloud end-user spending is forecast to total $679.0 billion in 2024, an increase of 20.4% from 2023
- The global data center market size is expected to reach $263.0 billion in 2026 (from $220.0 billion in 2024), indicating continued growth
- $2.7 billion global spend on AI software in 2024 (forecasted)
- 3.4 billion global active social media users in 2024
- 27% of organizations cite increased security as a reason for adopting zero trust architectures (survey result, 2023)
- 50% of malware samples in 2023 targeted Windows systems according to AV-TEST data
- 73% of organizations reported using real-time analytics in 2023
- 68% of respondents say they are planning to adopt edge computing within the next 12–24 months
- 42% of respondents reported using managed databases for production workloads in 2023
- 3.2 TB/s global peak DDoS mitigation capacity reported by a leading security provider in 2024
- 99.999999% durability for object storage is a target for AWS S3 and similar providers (S3 durability claim)
- 1.6× higher throughput per watt reported for certain SSD generations versus HDD in a benchmark study (2019–2021 lab results)
- 13.0% of total global energy consumption attributed to ICT in 2022 (IEA estimate)
- 10.8% of global electricity consumption used by data centers and networks in 2022 (estimate)
- A 20% reduction in server energy consumption is achievable through workload placement optimization (study result)
Cloud, data, and AI spending continues to surge, driving real time analytics, edge growth, and higher security needs.
Related reading
01 · Category
Market Size14 stats
01
World-wide public cloud end-user spending is forecast to total $679.0 billion in 2024, an increase of 20.4% from 2023
02
The global data center market size is expected to reach $263.0 billion in 2026 (from $220.0 billion in 2024), indicating continued growth
03
$2.7 billion global spend on AI software in 2024 (forecasted)
04
18% CAGR forecast for the edge computing market from 2024 to 2030
05
1.0 zettabyte of data created worldwide every year by 2019 (IDC baseline figure, referenced in later IDC materials)
06
48% of organizations report that they have adopted real-time analytics for operational decision-making
07
$19.6 billion is the estimated global market size for data preparation software in 2024
08
$6.1 billion is the estimated global market size for data observability software in 2023
09
$31.6 billion is the estimated global market size for data management software in 2024
10
$8.5 billion is the estimated global market size for data labeling services in 2024
11
$4.8 billion is the estimated global market size for data integration tools in 2024
12
$679.4 billion worldwide public cloud services market size in 2024
13
$832.1 billion worldwide public cloud services market size in 2025
14
$1,012.4 billion worldwide public cloud services market size in 2026
Interpretation
Market Size Interpretation
For the Market Size landscape, rapid expansion is clearly under way as worldwide public cloud end user spending is forecast to reach $679.0 billion in 2024 and the global data center market is expected to grow to $263.0 billion by 2026, alongside major budget shifts toward AI with $2.7 billion in 2024 and faster growth areas like edge computing at an 18% CAGR through 2030.
report visual · Projection
Public cloud services market size is accelerating worldwide
Worldwide public cloud services market size rises each year, led by 2026 with the largest market size, widening the year-over-year gap versus earlier years.
679 USD billions
Start
+22.07%
CAGR · 2y
1,012 USD billions
Projected
20242026
source-verifiedgartner.com2026
02 · Category
Industry Trends7 stats
01
3.4 billion global active social media users in 2024
02
27% of organizations cite increased security as a reason for adopting zero trust architectures (survey result, 2023)
03
50% of malware samples in 2023 targeted Windows systems according to AV-TEST data
04
35% of organizations experience data quality issues impacting analytics outcomes monthly (survey result)
05
31% of breaches involved stolen credentials in 2023 (DBIR finding)
06
2.6% annual increase in global web application attacks year-over-year in 2023 (security report)
07
70% of organizations reported needing to process data in real time to meet business goals in 2024 (survey result)
Interpretation
Industry Trends Interpretation
Industry Trends are pointing to a tighter security and data-management focus as 31% of 2023 breaches involved stolen credentials and 27% of organizations cite increased security for adopting zero trust, alongside growing risk where web application attacks rose 2.6% year over year in 2023.
03 · Category
User Adoption3 stats
01
73% of organizations reported using real-time analytics in 2023
02
68% of respondents say they are planning to adopt edge computing within the next 12–24 months
03
42% of respondents reported using managed databases for production workloads in 2023
Interpretation
User Adoption Interpretation
In the user adoption space, organizations are actively moving toward new data and infrastructure capabilities, with 73% already using real-time analytics in 2023 and 68% planning edge computing in the next 12 to 24 months, while 42% have adopted managed databases for production workloads.
More related reading
04 · Category
Performance Metrics5 stats
01
3.2 TB/s global peak DDoS mitigation capacity reported by a leading security provider in 2024
02
99.999999% durability for object storage is a target for AWS S3 and similar providers (S3 durability claim)
03
1.6× higher throughput per watt reported for certain SSD generations versus HDD in a benchmark study (2019–2021 lab results)
04
30% reduction in time-to-detect issues was reported after adopting data observability capabilities (enterprise case survey)
05
65% of organizations report improved model performance after implementing feature engineering and continuous data validation in their pipelines (survey)
Interpretation
Performance Metrics Interpretation
Across performance metrics, organizations are pushing for striking gains such as Cloudflare’s 3.2 TB/s peak DDoS mitigation and AWS’s 99.999999% object storage durability, while also seeing measurable efficiency improvements like a 30% faster time to detect issues through data observability and a 65% lift in model performance from feature engineering and continuous data validation.
05 · Category
Cost Analysis7 stats
01
13.0% of total global energy consumption attributed to ICT in 2022 (IEA estimate)
02
10.8% of global electricity consumption used by data centers and networks in 2022 (estimate)
03
A 20% reduction in server energy consumption is achievable through workload placement optimization (study result)
04
Cost savings of 30–50% reported by organizations using cloud autoscaling (deployment optimization survey range)
05
6.2% average annual decline in global HDD drive prices per gigabyte (historical vendor pricing trend, 2019–2023)
06
53% of organizations say they have reduced cloud costs by 20% or more through workload optimization (2023 survey)
07
27% of organizations report that they reduced infrastructure costs by moving workloads closer to users (edge-related cost optimization) (2023 survey)
Interpretation
Cost Analysis Interpretation
For Cost Analysis, the clearest trend is that targeted optimization can cut costs substantially, with organizations reporting 20% or more cloud cost reductions in 53% of cases and other studies showing 30–50% savings from cloud autoscaling alongside potential 20% server energy reductions.
06 · Category
Data Quality1 stats
01
1.6 billion metric tons of CO2 equivalent were emitted by the ICT sector in 2020 (including data centers, networks, devices, and end-user applications)
Interpretation
Data Quality Interpretation
In the Data Quality context, the fact that the ICT sector emitted 1.6 billion metric tons of CO2 equivalent in 2020 underscores how crucial reliable, auditable data is for accurately tracking and reporting environmental impacts across the full technology chain.
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Rachel Svensson. (2026, February 13). Discrete Or Continuous Statistics. Gitnux. https://gitnux.org/discrete-or-continuous-statistics
MLA
Rachel Svensson. "Discrete Or Continuous Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/discrete-or-continuous-statistics.
Chicago
Rachel Svensson. 2026. "Discrete Or Continuous Statistics." Gitnux. https://gitnux.org/discrete-or-continuous-statistics.
Sources & references
35 datasets cited across this report · attribution is report-level
aws.amazon.com+9 additional datasets cited (not shown individually)