Technology
20 columns
60 rows
8 formats

Gaming Hardware Supply Chain Risk Matrix

This dataset provides a detailed matrix of supply chain risks for gaming hardware launches, including supplier, logistics, geopolitical, and ESG factors. It enables studios and procurement teams to anticipate disruptions, assess risk scores, and plan mitigation strategies for both indie and enterprise launches. The data supports scenario-based planning and resource allocation for resilient hardware delivery.

last updated 2 Dec 2025
by GoMask

The brief that made it

Supply chain risk assessment for gaming hardware launches

Sample rows

preview · 8 of 60 rows · all 20 columns

risk_idstring	probability_levelstring	overall_risk_scorefloat	component_typestring	hardware_launch_idstring	launch_typestring	component_supplier_namestring	supplier_countrystring	supplier_esg_scorefloat	logistics_hub_namestring	logistics_hub_countrystring	logistics_risk_scorefloat	geopolitical_risk_scorefloat	risk_categorystring	mitigation_strategystring	risk_detected_datedate	risk_statusstring	impact_levelstring	scenario_namestring	risk_descriptionstring
RISK-00001	possible	47.1	GPU	HL-2024-IND-01	indie	PixelTech Components	Taiwan	81.2	Kaohsiung Port	Taiwan	26.5	42.1	supplier	Diversify component sourcing to alternate suppliers.	2024-03-17	open	medium	Indie studio spring launch Taiwan GPU supply	Moderate risk due to rising energy costs and regional labor disputes.
RISK-00002	likely	36.7	CPU	HL-2024-ENT-01	enterprise	CoreLogic Systems	USA	92.4	Port of Long Beach	USA	18.7	23.5	logistics	Prioritize shipments and secure expedited customs clearance.	2024-04-03	open	high	Enterprise CPU launch - US port risk	Potential delays due to port congestion and customs backlog.
RISK-00003	possible	49.6	memory	HL-2024-IND-02	indie	MemX Solutions	South Korea	77.9	Busan Terminal	South Korea	32.2	46.8	geopolitical	Increase inventory; monitor government policies.	2024-02-23	open	high	Spring memory supply scenario - South Korea	Escalating trade tensions affecting semiconductor exports.
RISK-00004	likely	59.5	controller	HL-2024-ENT-02	enterprise	ControlForge Ltd.	China	54	Shanghai Port	China	41.3	62.9	ESG	Conduct ESG audits and require improvement plans.	2024-05-11	open	medium	Enterprise launch China controller supply	Concerns over supplier labor practices and carbon emissions.
RISK-00005	unlikely	35.7	memory	HL-2024-IND-01	indie	NanoRAM Corp.	Japan	89.1	Yokohama Terminal	Japan	15.8	16.3	supplier	Maintain current supplier relationship.	2024-03-28	mitigated	low	Indie launch Japan memory supply	Low risk; high ESG score and stable region.
RISK-00006	unlikely	33.5	GPU	HL-2024-ENT-01	enterprise	Vertex Electronics	Germany	94.7	Hamburg Port	Germany	11.9	21.2	logistics	Monitor for seasonal labor strikes.	2024-04-15	closed	low	Enterprise GPU launch Germany logistics	Minimal disruption risk due to robust infrastructure.
RISK-00007	possible	51.5	CPU	HL-2024-IND-02	indie	GigaCore Electronics	Vietnam	70.6	Ho Chi Minh City Port	Vietnam	38.2	53.4	geopolitical	Secure currency hedging and alternative logistics routes.	2024-02-11	open	high	Indie CPU supply risk Vietnam	Political instability and currency volatility.
RISK-00008	possible	40.2	GPU	HL-2024-ENT-03	enterprise	QuantumLogic	USA	88.3	Port of Seattle	USA	29.7	27.6	ESG	Encourage supplier water conservation programs.	2024-04-29	open	medium	Enterprise GPU launch ESG scenario	Moderate ESG risk due to supplier water usage.
RISK-00009	likely	55.4	controller	HL-2024-IND-03	indie	MicroDrive Ltd.	India	65.2	Chennai Port	India	43.6	57.7	supplier	Increase local inventory before monsoon.	2024-02-08	open	medium	Indie controller supply India monsoon	Supplier disruption risk due to seasonal monsoon.
RISK-00010	unlikely	36.6	memory	HL-2024-ENT-03	enterprise	Zenith Memory Inc.	Singapore	91.5	Pasir Panjang Terminal	Singapore	20.3	18.6	logistics	Maintain ongoing supplier audits.	2024-04-08	closed	low	Enterprise memory supply Singapore	Minimal risk; excellent ESG and stable logistics.
RISK-00011	possible	50.2	CPU	HL-2024-IND-03	indie	SmartChip Makers	Malaysia	73.4	Port Klang	Malaysia	37.9	49.3	geopolitical	Negotiate labor agreements and diversify routes.	2024-02-14	open	high	Indie CPU launch Malaysia risk	Regional labor unrest and export restrictions.
RISK-00012	unlikely	32.8	controller	HL-2024-ENT-04	enterprise	EcoLogic Devices	Netherlands	96	Rotterdam Port	Netherlands	13.5	17.2	ESG	Maintain supplier partnership.	2024-05-02	closed	low	Enterprise controller supply - ESG	Supplier recognized for excellent ESG practices.
RISK-00013	likely	60.7	GPU	HL-2024-IND-04	indie	ByteWave Ltd.	Brazil	62.8	Port of Santos	Brazil	49.1	66.4	supplier	Engage local legal advisors and lobby groups.	2024-03-10	open	high	Indie GPU supply Brazil launch	Risk of customs delays and local protests.
RISK-00014	possible	36.7	memory	HL-2024-ENT-04	enterprise	SilverRAM Tech	Canada	93.6	Port of Vancouver	Canada	16.8	19.9	logistics	Schedule shipments outside peak weather periods.	2024-05-19	open	medium	Enterprise memory supply Canada	Seasonal weather risks affecting port operations.
RISK-00015	possible	63	controller	HL-2024-IND-04	indie	CircuitLink	Mexico	60.3	Manzanillo Port	Mexico	57.6	71.2	geopolitical	Increase security protocols and insurance.	2024-03-15	open	critical	Indie controller supply Mexico risk	Drug cartel activity affecting supply chain.
RISK-00016	possible	38.2	CPU	HL-2024-ENT-05	enterprise	PrimeMicro Devices	France	84.5	Le Havre Port	France	22.7	25.4	ESG	Request more detailed supplier reporting.	2024-04-21	open	medium	Enterprise CPU supply France ESG	Minor ESG risk due to supply chain transparency issues.
RISK-00017	likely	75.7	memory	HL-2024-IND-05	indie	Ramify Solutions	Russia	45.7	Port of Saint Petersburg	Russia	78.5	88.9	supplier	Utilize alternate payment channels.	2024-01-26	open	critical	Indie memory supply Russia sanctions	Sanctions and banking restrictions impacting payments.
RISK-00018	unlikely	31.6	GPU	HL-2024-ENT-05	enterprise	GreenCore Electronics	Sweden	98.1	Port of Gothenburg	Sweden	8.4	12.6	logistics	Continue regular reviews.	2024-05-06	closed	low	Enterprise GPU supply Sweden	Very low risk; leading ESG and stable region.
RISK-00019	possible	50.6	CPU	HL-2024-IND-05	indie	ChipWave	Poland	68.2	Gdansk Port	Poland	34.7	52.9	geopolitical	Monitor EU regulations and adjust sourcing.	2024-03-19	open	medium	Indie CPU launch Poland	Trade policy changes affecting tech imports.
RISK-00020	possible	39.5	controller	HL-2024-ENT-06	enterprise	LogicStream	Italy	80	Genoa Port	Italy	25.1	28.3	ESG	Request supplier improvement plan.	2024-04-25	open	medium	Enterprise controller supply Italy ESG	Minor ESG risk due to waste disposal practices.

What the 60 rows show

from the 60-row sample

Unlikely (probability level) stands out: mean overall_risk_score is 35.6, against 52.4 for the rest.

49.1median overall_risk_score
2launch types
3risk statuses
4risk categories
4impact levels
79.8median supplier_esg_score

Mean overall_risk_score by probability_level60 rows

overall_risk_score60 rows, in bands of 10

Median 49.1, from 31.6 to 75.7.

component_type60 rows · 4 values

memory17
GPU15
controller15
CPU13

20 columns by typefrom the column list below

string 15
float 4
date 1

Columns

20 columns in three groups

blueprint · 20 columns
column	type	description	example
Text 15 columns
`risk_id`	string	Unique identifier for each risk assessment recordunique	RISK-00001
`hardware_launch_id`	string	Unique identifier for the hardware launch scenario being assessed	HL-2024-IND-01
`launch_type`	string	Type of hardware launch (e.g., indie, enterprise)indie · enterprise	indie
`component_supplier_name`	string	Name of the component supplier	PixelTech Components
`component_type`	string	Type of hardware component supplied (e.g., GPU, CPU, memory, controller)4 types	GPU
`supplier_country`	string	Country where the supplier is located	Taiwan
`logistics_hub_name`	string	Name of the logistics hub involved in the supply chainoptional	Kaohsiung Port
`logistics_hub_country`	string	Country where the logistics hub is locatedoptional	Taiwan
`risk_category`	string	Category of risk (e.g., supplier, logistics, geopolitical, ESG)supplier · logistics · geopolitical · ESG	supplier
`risk_description`	string	Detailed description of the identified riskoptional	Moderate risk due to risi…
`mitigation_strategy`	string	Recommended strategy for mitigating the riskoptional	Regular ESG audits.
`risk_status`	string	Current status of the risk (e.g., open, mitigated, closed)open · mitigated · closed	open
`impact_level`	string	Estimated impact level of the risk (e.g., low, medium, high, critical)low · medium · high · critical	medium
`probability_level`	string	Estimated probability of risk occurrence (e.g., unlikely, possible, likely, certain)unlikely · possible · likely · certain	possible
`scenario_name`	string	Name or description of the scenario being planned or assessedoptional	Indie CPU launch Poland
Numbers 4 columns
`supplier_esg_score`	float	Environmental, Social, and Governance score for the supplier (0-100)0 to 100 · optional	81.2
`logistics_risk_score`	float	Risk score for logistics hub disruptions (0-100)0 to 100 · optional	26.5
`geopolitical_risk_score`	float	Geopolitical risk score for the supplier and logistics hub region (0-100)0 to 100 · optional	42.1
`overall_risk_score`	float	Aggregated risk score for the supply chain node (0-100)0 to 100	47.1
Dates and times 1 column
`risk_detected_date`	date	Date when the risk was detected or assessed	2024-03-17

Use it for

A technology dashboard
Overall_risk_score by probability_level and a breakdown of component_type. Excel, Power BI or Tableau.
Why do the 15 unlikely rows have a mean overall_risk_score of 35.6?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Risks60
RISK-0000147.1possible
RISK-0000236.7likely
RISK-0000349.6possible
A software demo
Believable risks with hardware_launch_id, launch_type and component_supplier_name to fill a screen in front of a buyer.

This dataset60 rows20 columns

Yours1,000 rows20 columnssupplier_country: UK only

blueprint · gaming-hardware-supply-chain-risk-matrix

Behind this dataset

Same schema. As many rows as you need.

These 60 rows came out of a blueprint — 20 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Each supplier has a unique risk profile based on region, reliability, and ESG factors
Risk scores are calculated using weighted factors: disruption likelihood, financial stability, and sustainability impact
Components are mapped to suppliers and logistics nodes for traceability
Score thresholds trigger recommended mitigation actions
All data points must be timestamped for scenario trend analysis

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: gaming-hardware-supply-chain-risk-matrix

What should your data show?

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Sample rows

What the 60 rows show

Columns

Use it for

A technology dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Technology

What should your data show?