Trend · rank 190 of 250

Satellite positioning & timing dependence

Transport, telecoms, finance and power rely increasingly on satellite positioning and timing signals that jamming, spoofing or a severe solar storm can disrupt, making alternative references necessary for continuity.

Strategic InfrastructureEnergy, networks & climate resiliencespace georesilienceconnectivity

Second pass: Carried forward from the first pass, where it was GNSS & timing dependence; takes in Space weather exposure. Held by all three panel models.

Sensitivity and network position

Rank
190of 250
Sensitivity
6.7rank 176
Breadth
1of 20 scenarios High or above
PageRank
24.7rank 184
Eigenvector
1.3
Betweenness
7.0
Links
10trends at Moderate similarity or above
Composite
14.0

Attention over three years

How much this trend is read about on Wikipedia and searched for on Google, week by week, set against the typical trend in the list so that what moves every trend at once is taken out. 100 is this trend's own three-year average. The score measures public attention, which is not the same as the strength of the force: a trend can deepen unnoticed, and a news event can lift attention for a fortnight.

Now
94
Over a year
−9%Steady
Over three years
−9%
Peak
1645 May 2024
Sources
Bothagreement -0.12
Coverage
17languages · 73 nations

Trailing 4-week average. 100 is this trend’s three-year average.

By language

Wikipedia reading in each language edition where the trend’s pages are read enough to measure (17 of 28). Share is of all the readers counted.

LanguageShareNowOver a yearThree years
English42%143+21%
Russian14%79−30%
Spanish8%91+6%
German8%94−27%
French6%77−15%
Chinese4%77−23%
Japanese4%93−1%
Italian3%87−5%
Polish2%95+2%
Portuguese2%89−54%
Ukrainian2%121−22%
Turkish1%84−12%
Korean1%124+17%
Hebrew1%80+7%
Dutch1%91−17%
Swedish1%96+0%
Indonesian1%90−15%

By country

Google search interest over the three years, as a share of each country’s searching. 100 is the nation where interest is highest. The search terms are English, which favours countries that search in English.

China

South Korea

Singapore

Estonia

Finland

Latvia

Norway

Lithuania

Netherlands

Slovenia

Taiwan

Ecuador

100

49

43

42

33

31

31

29

27

26

26

25

The 12 highest of 73 nations with a reading.

By region and G20 member

Attention to this trend inside each place, from Google searches made in its countries and Wikipedia reading in the languages mostly read there, averaged where both exist. Each line compares the trend with its own past in that place; the lines do not compare places.

Regions

PlaceRead fromNow90 days1 year3 yearsThree years
North AmericaGoogle in 2 countries + Wikipedia in English136−3%+26%+84%
EuropeGoogle in 7 countries + Wikipedia in German, French, Italian, Polish, Dutch, Swedish99−10%−10%+6%
Indo-PacificGoogle in 8 countries + Wikipedia in Japanese, Chinese, Korean, Indonesian97+4%−5%+2%
South AsiaGoogle in 1 country98−28%+12%+52%
Gulf and Middle EastGoogle in 2 countries + Wikipedia in Turkish, Hebrew93+9%−9%−15%
Latin America and CaribbeanGoogle in 6 countries + Wikipedia in Spanish, Portuguese107+29%−8%−12%
Russia and EurasiaGoogle in 3 countries + Wikipedia in Russian, Ukrainian107+10%+1%+11%

G20 members

PlaceRead fromNow90 days1 year3 yearsThree years
ArgentinaGoogle73+20%−24%−45%
AustraliaGoogle123+7%+31%+36%
BrazilGoogle + Wikipedia in Portuguese145+64%−5%+35%
CanadaGoogle126+31%+16%+60%
FranceGoogle + Wikipedia in French84−50%−11%−14%
GermanyGoogle + Wikipedia in German105+2%−17%+27%
IndiaGoogle98−28%+12%+52%
IndonesiaWikipedia in Indonesian90−15%−15%−15%
ItalyGoogle + Wikipedia in Italian109+60%−4%+22%
JapanGoogle + Wikipedia in Japanese93−5%+0%+2%
South KoreaGoogle + Wikipedia in Korean102+34%+6%−11%
MexicoGoogle104+40%−7%−22%
RussiaWikipedia in Russian80−16%−30%−29%
TürkiyeGoogle + Wikipedia in Turkish96+14%−13%−7%
United KingdomGoogle121−15%+24%+76%
United StatesGoogle + Wikipedia in English137−6%+28%+85%

Relation to each scenario

A trend relates to a scenario when it changes how likely the scenario is, how hard it lands, or is itself sharply changed by it. Each score is the median of three scores given separately by the members of the model panel.

RelationScenarioFamily
5 · Very highHybrid coercion ends in an infrastructure blackout S04Geopolitical and security
3 · ModerateA regional war closes a globally important sea route S03Geopolitical and security
0 · Not relatedCritical trade divides into rival blocs S01Economic and trade
0 · Not relatedA global funding seizure reaches sovereign balance sheets S02Economic and trade
0 · Not relatedA disputed transfer of power breaks effective government S05Geopolitical and security
0 · Not relatedTwo breadbasket failures trigger a food availability crisis S06Energy, climate and resources
0 · Not relatedA major disaster disables the national economic core S07Energy, climate and resources
0 · Not relatedAn AI deployment step causes abrupt labour displacement S08Technology and infrastructure
0 · Not relatedA cryptographic breakthrough invalidates digital trust S09Technology and infrastructure
0 · Not relatedA novel respiratory pathogen exceeds health surge capacity S10Health
0 · Not relatedA creditor agreement releases fiscal capacity S11 ↗Economic and trade
0 · Not relatedA cross-regional market access compact redirects investment S12 ↗Economic and trade
0 · Not relatedA great-power agreement lowers economic security barriers S13 ↗Geopolitical and security
0 · Not relatedA verified Middle East settlement restores access S14 ↗Geopolitical and security
0 · Not relatedCheap firm clean power becomes available at scale S15 ↗Energy, climate and resources
0 · Not relatedA validated farming package raises water-efficient output S16 ↗Energy, climate and resources
0 · Not relatedAI-directed research produces a reproducible discovery step S17 ↗Technology and infrastructure
0 · Not relatedA public service platform reaches inclusive operation S18 ↗Technology and infrastructure
0 · Not relatedAffordable preventive treatments reduce chronic illness S19 ↗Health
0 · Not relatedA live outbreak proves rapid distributed pandemic defence S20 ↗Health

Similarity = 0.3 × shared tags (Jaccard) + 0.3 × likeness of scenario profiles (cosine) + 0.3 × likeness of names and descriptions (TF-IDF cosine) + 0.1 if in the same capability domain, cut into seven levels at 0.12, 0.22, 0.33, 0.45, 0.58, 0.72. Shown at Moderate and above.

SimilarityTrendThemeRank
4 · HighTelecom network resilienceEnergy, networks & climate resilience35
4 · HighSubsea cable & pipeline dependenceEnergy, networks & climate resilience114
4 · HighSatellite connectivity expansionEnergy, networks & climate resilience167
4 · HighQuantum sensing & timingConflict & security245
3 · ModerateCritical infrastructure protectionConflict & security80
3 · ModerateDistributed powerEnergy, networks & climate resilience81
3 · ModerateFossil fuel supply & refiningEnergy, networks & climate resilience112
3 · ModerateFirm & black-start capacityEnergy, networks & climate resilience119
3 · ModerateConnected infrastructure operationEnergy, networks & climate resilience145
3 · ModerateElectromagnetic spectrum contestConflict & security152