Trend · rank 158 of 250

Smart manufacturing & digital twins

Connected machinery and virtual models of assets and processes are improving production control and reducing downtime, widening productivity differences between firms that can integrate operational data and those that cannot.

Production & InnovationTrade, industry & supply chainsmanufacturingconnectivityai

Second pass: Carried forward from the first pass unchanged. Held by all three panel models.

Sensitivity and network position

Rank
158of 250
Sensitivity
10.8rank 98
Breadth
0of 20 scenarios High or above
PageRank
24.1rank 190
Eigenvector
0.3
Betweenness
8.6
Links
7trends at Moderate similarity or above
Composite
17.2

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
111
Over a year
+1%Steady
Over three years
+35%
Peak
14212 Apr 2026
Sources
Bothagreement 0.17
Coverage
14languages · 58 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 (14 of 28). Share is of all the readers counted.

LanguageShareNowOver a yearThree years
English56%94−1%
Russian9%89−9%
Spanish8%86−19%
Korean6%57−40%
German5%91−33%
Chinese5%94−1%
Japanese3%80−8%
French3%93−20%
Portuguese2%98−13%
Italian1%80−5%
Arabic1%108+14%
Persian1%103+9%
Ukrainian1%116+2%
Turkish1%100−26%

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.

Singapore

South Korea

China

Netherlands

Malaysia

United States

United Arab Emirates

Taiwan

United Kingdom

Australia

India

Germany

100

93

77

39

35

34

32

28

27

25

25

24

The 12 highest of 58 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 English109−27%+1%+40%
EuropeGoogle in 8 countries + Wikipedia in German, French, Italian94−23%−9%+13%
Indo-PacificGoogle in 10 countries + Wikipedia in Japanese, Chinese, Korean90−20%−4%−1%
South AsiaGoogle in 3 countries124−8%+32%+26%
Gulf and Middle EastGoogle in 3 countries + Wikipedia in Persian, Arabic, Turkish102−31%+10%+35%
AfricaGoogle in 1 country87−43%−1%+26%
Latin America and CaribbeanGoogle in 6 countries + Wikipedia in Spanish, Portuguese93−39%+2%+18%
Russia and EurasiaWikipedia in Russian, Ukrainian93−26%−6%+13%

G20 members

PlaceRead fromNow90 days1 year3 yearsThree years
ArgentinaGoogle112−64%+407%+53%
AustraliaGoogle95−45%+13%+7%
BrazilGoogle + Wikipedia in Portuguese96−35%+1%+36%
CanadaGoogle108−30%+6%+41%
FranceGoogle + Wikipedia in French92−29%−12%+19%
GermanyGoogle + Wikipedia in German103−14%−12%+26%
IndiaGoogle103−1%−3%+11%
IndonesiaGoogle129−3%+22%+59%
ItalyGoogle + Wikipedia in Italian84−22%−8%−5%
JapanGoogle + Wikipedia in Japanese87−32%+5%−7%
South KoreaGoogle + Wikipedia in Korean66−22%−31%−31%
MexicoGoogle88−8%−11%−17%
RussiaWikipedia in Russian89−28%−9%+2%
Saudi ArabiaGoogle101−41%+23%+35%
South AfricaGoogle87−43%−1%+26%
TürkiyeGoogle + Wikipedia in Turkish99−21%−14%+64%
United KingdomGoogle131+1%+50%+60%
United StatesGoogle + Wikipedia in English111−29%+1%+48%

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
3 · ModerateCritical trade divides into rival blocs S01Economic and trade
3 · ModerateA cryptographic breakthrough invalidates digital trust S09Technology and infrastructure
2 · LowHybrid coercion ends in an infrastructure blackout S04Geopolitical and security
2 · LowAn AI deployment step causes abrupt labour displacement S08Technology and infrastructure
2 · LowA cross-regional market access compact redirects investment S12 ↗Economic and trade
1 · Very lowA great-power agreement lowers economic security barriers S13 ↗Geopolitical and security
0 · Not relatedA global funding seizure reaches sovereign balance sheets S02Economic and trade
0 · Not relatedA regional war closes a globally important sea route S03Geopolitical and security
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 relatedA novel respiratory pathogen exceeds health surge capacity S10Health
0 · Not relatedA creditor agreement releases fiscal capacity S11 ↗Economic and trade
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
3 · ModerateIndustrial policy competitionTrade, industry & supply chains26
3 · ModerateManufacturing overcapacityTrade, industry & supply chains51
3 · ModerateReshoring & localised manufacturingTrade, industry & supply chains59
3 · ModerateDigital & services trade growthTrade, industry & supply chains116
3 · ModerateIndustrial robotics & automationPeople, health & work150
3 · ModerateAdvanced semiconductorsAI, compute & quantum165
3 · ModerateAutonomous vehiclesTrade, industry & supply chains228