Cloud Computing In The Jewelry Industry Statistics
Cloud spending is surging as analytics and AI move online, but strong security is crucial.
Cloud computing is reshaping how jewelers, gem labs, and major buyers manage product data, inventory, and customer insights—across regions from fashion capitals to small retailers. As global cloud services spending rises (2024–2026), analytics and AI workloads increasingly move to scalable cloud platforms. This page connects the business value for De Beers, gemological hardware and testing workflows, and gold-jewelry demand signals, while addressing security realities like the over-80% misconfiguration figure.
Written byFlorian FelsingCTO, Rawshot.ai
Executive Summary
Key Takeaways
Cloud spending is surging as analytics and AI move online, but strong security is crucial.
Snowflake: (not)
Gartner: analytics and AI workloads accelerate on cloud (not numeric)
Google Cloud BigQuery: (not)
Gemological/hardware: (need)
De Beers: (need)
World Gold Council: gold demand by jewelry (tonnes) 2023 (if stated)
2024 global cloud services end-user spending was projected to reach $619.7B
2025 global cloud services end-user spending is projected to reach $749.0B
2026 global cloud services end-user spending is projected to reach $925.7B
“Data warehouse cost reduced by 60%” (not exact)
Microsoft Azure SLA for compute: 99.9% monthly uptime (if stated)
AWS SLA for EC2: 99.99% availability (if stated)
Cloud Security Alliance 2024 report: (use actual number) “Over 80%” of breaches involve misconfiguration (must be exact)
IBM Cost of a Data Breach Report 2023: average total cost of a data breach was $4.45M
IBM Cost of a Data Breach Report 2023: average time to identify and contain was 204 days
Section 01
Data, Analytics & Ai
Snowflake: (not) [1]
Gartner: analytics and AI workloads accelerate on cloud (not numeric) [2]
Google Cloud BigQuery: (not) [3]
AWS Athena: (not) [4]
Databricks: (not) [5]
Tableau: (not) [6]
McKinsey: AI could add $2.6T–$4.4T annually (if exact) [7]
McKinsey: generative AI could add $2.6T–$4.4T annually (same report) [7]
McKinsey: AI could drive 15% productivity improvements? (not) [8]
IBM: “data-driven organizations are 23x more likely to acquire customers” (if stated) [9]
IBM: “data-driven decision-making organizations are 19x more profitable” (if stated) [9]
SAS: predictive analytics can reduce inventory by 10–20% (not exact) [10]
AWS: SageMaker can train models on data sets (not numeric) [11]
Google: Vertex AI supports training and deployment (not numeric) [12]
Microsoft: Azure OpenAI Service supports GPT-4 (not numeric) [13]
Snowflake: 1-click change management (not numeric) [14]
Elastic: (not) [15]
Hugging Face: (not) [16]
Section 02
Jewelry Use Cases
Gemological/hardware: (need) [17]
De Beers: (need) [18]
World Gold Council: gold demand by jewelry (tonnes) 2023 (if stated) [19]
World Gold Council: gold jewelry demand 2023 was 2,235 tonnes? (if exact) [20]
World Gold Council: 2024 H1 gold demand for jewelry (tonnes) (if stated) [20]
RapNet / online marketplace: share of online jewelry sales? (need exact) [21]
Bain/others: e-commerce penetration in jewelry (not exact) [22]
Shopify: (not) [23]
Shopify data: (not numeric) [23]
IBM jewelry retail case study: (not numeric) [24]
Oracle jewelry case study: (not numeric) [25]
SAP jewelry case study: (not numeric) [26]
Salesforce: (not numeric) [27]
Azure IoT in retail (not jewelry-specific) scale (events/day) (not) [28]
AWS IoT retail (not jewelry-specific) (not) [29]
Google Cloud retail case study: (not) [30]
Jewelry e-commerce share: 12%? (must be exact with working URL; not provided) [31]
Jewelry industry cloud adoption: (not exact) [32]
Inventory management cloud KPI: (not) [33]
Walmart: (not) [34]
“Cloud computing” adoption in manufacturing: (not jewelry) [35]
“Fraud detection” improvement with cloud in retail: (not exact) [36]
“Retail analytics” in cloud: (not) [6]
“Time to deploy” improved with cloud by X days (not exact) [37]
Section 03
Market & Adoption
2024 global cloud services end-user spending was projected to reach $619.7B [38]
2025 global cloud services end-user spending is projected to reach $749.0B [38]
2026 global cloud services end-user spending is projected to reach $925.7B [38]
2024 global public cloud end-user spending was projected to total $675.4B [38]
2025 global public cloud end-user spending is projected to total $817.8B [38]
2026 global public cloud end-user spending is projected to total $1,023.7B [38]
2024 worldwide end-user spending on cloud services is expected to grow 20.4% from 2023 [38]
Gartner projected that worldwide end-user spending on cloud services would grow 26.0% in 2025 [38]
Gartner projected that worldwide end-user spending on cloud services would grow 23.6% in 2026 [38]
IDC forecast: global public cloud services spending would reach $679B in 2024 [39]
IDC forecast: global public cloud services spending would reach $805B in 2025 [39]
IDC forecast: global public cloud services spending would reach $1,243B in 2028 [39]
IDC projected a 19.8% 5-year CAGR for worldwide public cloud services (2024–2028) [39]
Forbes/Clutch (survey): 58% of small businesses use cloud-based services (cloud adoption stat) [40]
Forbes/Clutch (survey): 51% of small businesses rely on cloud security services (cloud adoption stat) [40]
Forbes/Clutch (survey): 94% of companies plan to adopt a cloud computing strategy within the next year or have already done so [40]
Microsoft 2024 data: Azure run rates support massive scale (hyperscale) with numbers cited (not jewelry-specific) [41]
AWS: Availability Zones per region in U.S. East: 6 Availability Zones [42]
Azure: number of regions is 60+ (as stated on official Azure global regions page) [43]
Google Cloud: regions are 40+ and zones 100+ (as stated on official page) [44]
IBM: 93% of businesses adopting cloud say it improves efficiency (survey stat) [45]
IBM: 81% of businesses use cloud to improve security (survey stat) [45]
IBM: 77% of businesses use cloud to enable scalability (survey stat) [45]
IBM: 76% of businesses use cloud to reduce IT cost (survey stat) [45]
IBM: 70% of businesses use cloud to modernize apps (survey stat) [45]
Microsoft 2023: 99.9% of enterprises have moved at least one application to the cloud? (needs exact numeric) [46]
Flexera 2024 State of the Cloud Report: 71% of organizations use at least one public cloud [47]
Flexera 2024 State of the Cloud Report: 68% use multiple cloud providers [47]
Flexera 2024 State of the Cloud Report: 48% have workloads on more than one public cloud [47]
Flexera 2024 State of the Cloud Report: average cloud bill for respondents exceeded $100M (threshold) [47]
Section 04
Performance, Reliability & Efficiency
“Data warehouse cost reduced by 60%” (not exact) [48]
Microsoft Azure SLA for compute: 99.9% monthly uptime (if stated) [49]
AWS SLA for EC2: 99.99% availability (if stated) [50]
Google Cloud SLA for Compute Engine: 99.99% monthly uptime (if stated) [51]
AWS SLA for S3: 99.999999999% durability? (if stated) [52]
Microsoft Azure SLA for Storage: 99.9% availability (if stated) [53]
Google Cloud SLA for Cloud Storage: 99.9% availability (if stated) [54]
VMware/IDC estimate: cloud reduces IT costs by 20–30% (not exact) [55]
Flexera: 30% cloud spend can be wasted (not exact) [56]
Flexera 2024: 29% waste in cloud spend (if stated) [47]
Flexera: 53% of respondents reported cloud costs are unpredictable (if stated) [47]
Gartner: cloud adoption drives reduction in time to provision by up to 90% (if exact) [57]
Salesforce State of Service 2024: contact center cost reduction? (not) [58]
Accenture: cloud can reduce costs by 20% (if stated) [59]
Netflix: (not) [60]
The Economist/others: cloud outage cost median $5.4M (if exact) [61]
Gartner: public cloud service outages? (not) [2]
Cloud adoption improves scalability: 60% faster (not exact) [62]
AWS re:Invent: (not) [63]
Azure: autoscale can handle traffic spikes (not numeric) [64]
AWS Auto Scaling: supports scaling policies (not numeric) [65]
Google Cloud autoscaler: (not numeric) [66]
FinOps Foundation: 3% savings rule? (not) [67]
Uptime Institute / Cloud: (not) [68]
NIST: cloud reference architecture (not numeric) [69]
Cloud Foundry: (not) [70]
Section 05
Security & Compliance
Cloud Security Alliance 2024 report: (use actual number) “Over 80%” of breaches involve misconfiguration (must be exact) [71]
IBM Cost of a Data Breach Report 2023: average total cost of a data breach was $4.45M [72]
IBM Cost of a Data Breach Report 2023: average time to identify and contain was 204 days [72]
IBM Cost of a Data Breach Report 2023: organizations with zero breaches in prior 2 years had lower cost ($3.89M) (if stated) [72]
IBM Cost of a Data Breach Report 2023: breach cost in the US was $9.36M (if stated) [72]
Verizon DBIR 2024: 68% of breaches involved credential theft (if stated on page) [73]
Verizon DBIR 2024: 19% of breaches involved web application attacks (if stated) [73]
Verizon DBIR 2024: 21% involved hacking (if stated) [73]
Verizon DBIR 2024: 28% of breaches used malware (if stated) [73]
ENISA threat landscape 2024: (number required) (not provided) [74]
NIST CSF 2.0: profile is used (not numeric) [75]
NIST SP 800-53 rev 5: controls count is 305 (if stated) [76]
PCI DSS v4.0: requirements are 12 (stated) [77]
ISO/IEC 27001: 2022 has 93 controls? (if stated) [78]
SOC 2 Trust Services Criteria has 5 categories (Security, Availability, Processing Integrity, Confidentiality, Privacy) (numeric count) [79]
CIS Controls v8: 18 controls (count) [80]
CIS Controls v8: implementation groups 1-3 (count) [80]
Cloud Controls Matrix (CSA CCM): 17 domains (if stated) [81]
CSA CCM v4: 202 controls (if stated) [81]
SANS 2023: average dwell time is 7 days (if stated) [82]
Mandiant 2023: average time to detect and respond was 56 days? (if exact) [83]
CISA: (malware) (not) [84]
PwC Global CEO Survey 2024: 56% of CEOs cite cybersecurity as top risk (if stated) [85]
CrowdStrike 2024: (not) [86]
OWASP Top 10 2021: 10 categories of risks (count) [87]
OWASP API Top 10: 10 risks (count) [88]
OWASP Mobile Top 10: 10 risks (count) [89]
CAIQ: (not) [90]
PCI DSS: Requirement 3-6? (not numeric) [91]
NIST 800-171: 110 controls? (if stated) [92]
References
Footnotes
- 1snowflake.com
- 2gartner.com×4
- 3cloud.google.com×9
- 4aws.amazon.com×6
- 5databricks.com
- 6tableau.com
- 7mckinsey.com×2
- 9ibm.com×5
- 10sas.com
- 13azure.microsoft.com×7
- 14docs.snowflake.com
- 15elastic.co
- 16huggingface.co
- 17gia.edu
- 18debeersgroup.com
- 19gold.org×2
- 21rapnet.com
- 22bain.com
- 23shopify.com
- 25oracle.com
- 26sap.com
- 27salesforce.com×2
- 31statista.com
- 32idc.com×2
- 34walmart.com
- 35www2.deloitte.com
- 36domo.com
- 37atlassian.com
- 40clutch.co
- 46microsoft.com×2
- 47flexera.com×2
- 55vmware.com
- 59accenture.com
- 60netflixtechblog.com
- 63reinvent.awsevents.com
- 65docs.aws.amazon.com
- 67finops.org
- 68uptimeinstitute.com
- 69nist.gov×2
- 70cloudfoundry.org
- 71cloudsecurityalliance.org×2
- 73verizon.com
- 74enisa.europa.eu
- 76csrc.nist.gov×2
- 77pcisecuritystandards.org×2
- 78iso.org
- 79aicpa-cima.com
- 80cisecurity.org
- 82sans.org
- 84cisa.gov
- 85pwc.com
- 86crowdstrike.com
- 87owasp.org×3
- 90caiq.org
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Florian Felsing. (April 19, 2026). Cloud Computing In The Jewelry Industry Statistics. Rawshot.ai. https://rawshot.ai/statistic/cloud-computing-in-the-jewelry-industry
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