The Internet of Things has moved well beyond the era of experimental sensors, hobbyist boards and isolated dashboards. IoT now sits underneath industrial automation, connected vehicles, smart utilities, logistics, agriculture, buildings, healthcare, energy systems and critical infrastructure.
When Europe and Asia are compared, the answer depends on what we choose to measure. Europe has some of the world’s strongest industrial companies, mature engineering practices, cybersecurity frameworks, interoperability standards and policies governing connected-device data. Asia, particularly China, South Korea, Japan, Singapore and Taiwan, has enormous manufacturing capacity, electronics supply chains, large-scale connectivity and a willingness to deploy connected technologies at national scale.
After examining deployment, patents, industrial automation, connectivity, policy, standards and real-world applications, my assessment is:
Asia currently leads the IoT race overall, mainly because it has become better at converting IoT technology into physical deployment at enormous scale. Europe remains stronger in several areas that may become increasingly important: industrial engineering, interoperability, cybersecurity, data governance and trustworthy operational systems.
The most useful lesson is not that Europe should copy Asia or Asia should copy Europe. The strongest future IoT model would combine Asian deployment speed and scale with European engineering discipline, interoperability and trust.
1. IoT Has Become an Infrastructure Race
One reason IoT comparisons are difficult is that IoT is no longer a single technology market.
The OECD describes IoT as a broad technological domain covering connected industrial equipment, smart-home products, vehicles and other physical objects connected to digital systems. Its research shows IoT-related patents expanding rapidly, IoT semiconductor components accounting for an estimated 5 to 7 per cent of the global semiconductor market, and IoT becoming particularly established in utilities, energy, transport and manufacturing [1].
The real IoT competition now covers an entire stack:
Sensors → chips → connectivity → gateways → cloud/edge platforms → data → AI → operational applications → decisions → physical actions
A country or region that excels only at one layer does not necessarily dominate IoT.
This distinction becomes very important when comparing Europe and Asia.
2. Europe: Strong Industrial Foundations
Europe’s major advantage comes from industrial engineering.
Germany’s Industrie 4.0 movement helped popularise the concept of digitally connected manufacturing. The underlying philosophy was not simply to place sensors on machines. It was to connect equipment, production processes, supply chains and information systems.
The World Bank has noted that European companies remain particularly competitive in operational technologies, including smart robots, industrial automation and IoT [2].
OECD data also shows substantial business adoption. In 2021, approximately 29% of European enterprises used IoT systems, rising by almost eight percentage points from the previous year [1].
Some countries were much further ahead.
Austria reported IoT usage among 51% of enterprises, followed by Slovenia at 49%, with Finland and Sweden at around 40% [3].
Industrial sectors demonstrated particularly strong adoption. European IoT usage averaged around:
- 47% of firms in energy
- 33% in transport
- close to one-third in manufacturing [4].
This matters because these are precisely the sectors where IoT creates operational value rather than merely consumer convenience.
3. Europe Is Particularly Strong in Industrial Automation
Industrial robotics provides another useful proxy for how deeply digital technologies have entered physical operations.
According to the International Federation of Robotics, Western Europe had 267 industrial robots per 10,000 manufacturing employees in 2024, compared with an Asian regional average of 131 [5].
The EU-27 average was 231.
Germany alone recorded roughly 449 robots per 10,000 manufacturing employees, making it Europe’s most automated major manufacturing economy [6].
This demonstrates an important strength of the European model.
Europe may not deploy the largest absolute number of IoT devices, but many European industries have considerable experience connecting digital technology directly to real industrial processes.
That experience matters tremendously for Industrial IoT.
A sensor project can be launched quickly.
Running connected machinery reliably for ten or twenty years inside factories, power systems, transport networks or water infrastructure is much harder.
Europe understands that world particularly well.
4. Europe Is Building an IoT + Edge Architecture
Europe is also positioning IoT as part of a larger edge-computing strategy.
The European Commission’s Digital Decade programme has set a target of deploying 10,000 climate-neutral highly secure edge nodes [7].
The reasoning is important.
Rather than sending everything to central cloud systems, Europe sees more processing happening close to machines, factories, vehicles and infrastructure.
An earlier European next-generation IoT roadmap projected a major shift in processing from centralised data centres toward the network edge [8].
This architecture suits industrial IoT particularly well because many operational applications require:
low latency, local autonomy, cybersecurity, data sovereignty and resilience when cloud connectivity disappears.
This is moving IoT closer to what we might now call AIoT and Edge AI.
5. Europe’s Greatest IoT Strength May Actually Be Governance
Europe has taken a very different approach to connected-product data.
Instead of treating data ownership as something determined mainly by platform vendors, the European Union has established legal rules around access to data generated by connected devices.
The EU Data Act became applicable on 12 September 2025 [9]. It gives consumers and businesses greater ability to access and share data produced by connected products such as industrial machinery, vehicles and smart devices.
This could have major implications for industrial IoT.
Imagine purchasing an industrial machine.
Traditionally, its manufacturer might control much of the operating data.
Under the European philosophy, the company operating that equipment should have much stronger rights to access the data generated by it.
That opens opportunities for independent:
maintenance companies, analytics companies, AI providers, IoT platforms and operational visibility systems.
Europe is effectively saying:
Connected equipment should not automatically create data monopolies.
That is a potentially powerful principle for the future IoT economy.
6. Europe Is Also Treating IoT Security as a Product Responsibility
IoT security has historically been treated badly by much of the industry.
Cheap connected devices have often shipped with weak passwords, poor firmware-update mechanisms and limited long-term security support.
Europe is attempting to change this structurally.
The EU Cyber Resilience Act establishes mandatory cybersecurity requirements for products containing digital components. Manufacturers must consider cybersecurity throughout the product lifecycle rather than only when vulnerabilities appear [10].
Products covered by the regulation must meet the relevant compliance requirements by 2027.
Europe’s cybersecurity agencies and standards organisations, including ENISA, ETSI, CEN and CENELEC, have also been working on common cybersecurity standards [11].
That makes Europe particularly influential in defining what a trusted IoT ecosystem should look like.
7. Now Look at Asia: The Numbers Become Much Bigger
Asia tells a very different story.
The region is far more heterogeneous than Europe. Comparing Cambodia with South Korea makes little sense, just as comparing rural Indonesia with Singapore would produce misleading conclusions.
Yet several Asian economies have become extraordinary IoT deployment engines.
China is the clearest example.
At the end of 2025, China’s three major telecommunications operators reported approximately 2.888 billion mobile IoT terminal users [12].
That number alone demonstrates the scale at which IoT can be deployed when telecommunications infrastructure, manufacturing capacity, government policy and domestic demand move together.
China had also installed approximately 4.838 million 5G base stations by the end of 2025 [13].
Cloud computing, big data, IoT and data centres together accounted for more than one-quarter of Chinese telecommunications-sector revenue.
This is not experimental IoT anymore.
It is national infrastructure.
8. China Is Planning for 10 Billion IoT Connections
China’s ambitions are becoming even larger.
In March 2026, China announced an action plan aiming for its core IoT industry to exceed 3.5 trillion yuan, roughly US$506 billion, by 2028 [14].
The same plan targets:
10 billion IoT terminal connections
and more than:
50 new or revised IoT standards.
The strategy explicitly addresses sensors, connectivity, data processing, platforms, security and industry applications.
This is one of the largest coordinated IoT expansion programmes anywhere in the world.
9. China Also Dominates the Scale of Industrial Automation
The industrial robotics numbers reveal how quickly Asia is converting digital infrastructure into physical automation.
According to the International Federation of Robotics, China installed approximately 295,000 industrial robots during 2024.
That represented about:
54% of all industrial robots installed worldwide that year.
China now operates around two million industrial robots, roughly 4.5 times the operational stock of Japan, which ranks second [5].
This matters enormously to IoT.
Robots, machines, sensors, machine vision, industrial networks, edge computing and AI are increasingly converging.
Industrial IoT is no longer separate from robotics.
It is becoming part of a larger cyber-physical operating environment.
10. South Korea Shows What Extreme Automation Looks Like
China wins in absolute scale, but South Korea demonstrates how deeply automation can penetrate an advanced manufacturing economy.
The International Federation of Robotics reports approximately:
1,220 industrial robots per 10,000 manufacturing workers in South Korea.
That is the highest robot density in the world [5].
Singapore follows at about 818 robots per 10,000 employees.
Japan and Taiwan also sit among the world’s most automated manufacturing economies.
This produces a striking contrast.
Western Europe has a higher regional average robot density than Asia.
Yet the very top individual automated economies are overwhelmingly Asian.
That illustrates Asia’s enormous variation.
Some Asian countries remain early in their IoT development.
Others are already operating near the frontier of cyber-physical automation.
11. Asia Also Leads IoT Patenting
One of the strongest pieces of evidence comes from patents.
OECD research citing UNCTAD estimates identified 22,180 IoT-related patent applications between 1996 and 2018.
The leading countries were:
China: 9,515 South Korea: 5,106 United States: 4,275
[15].
Samsung alone accounted for approximately 2,508 applications under that methodology.
Patent counts are imperfect measures. Different methodologies produce different numbers, and patents do not automatically equal successful products.
Yet the concentration of IoT-related intellectual property in China and South Korea is difficult to ignore.
It reflects something much bigger: Asia’s electronics ecosystem.
Sensors, microcontrollers, communications modules, memory, displays, batteries, smartphones, network equipment and electronic manufacturing are heavily concentrated across China, Taiwan, South Korea, Japan and Southeast Asia.
IoT benefits directly from that industrial base.
12. Japan Took a Different Path: Society 5.0
Japan deserves separate attention because its IoT philosophy differs somewhat from China’s.
The Japanese government introduced Society 5.0, describing a society where cyberspace and physical space become deeply connected while technology addresses economic and societal problems [16].
Japan’s Ministry of Economy, Trade and Industry subsequently developed its Connected Industries concept.
It specifically describes IoT, AI and Big Data as technologies that connect:
people, machines, systems, companies and industries [17].
The comparison with Germany is particularly fascinating.
Japan’s own METI documentation explicitly discusses the difference between Connected Industries and Germany’s Industrie 4.0.
Germany initially concentrated heavily on connected manufacturing and supply chains.
Japan wanted to extend the concept across manufacturing, healthcare, mobility, infrastructure and society.
In many ways, this anticipated what we now call AIoT.
13. Singapore Shows That Small Countries Can Lead IoT
Singapore proves that IoT leadership does not require continental scale.
Its Smart Nation Sensor Platform provides shared sensing infrastructure for city operations and public services. Singapore describes systems capable of scaling from individual deployments to networks approaching one million devices [18].
Singapore has also developed national IoT standards addressing interoperability and cybersecurity.
Singapore Standard SS 695:2023 consolidated several earlier Smart Nation IoT standards covering sensor networks, reference architectures and information interoperability [19].
This is an especially useful model for smaller countries.
You do not beat China by deploying more sensors than China.
You win by building coherent architecture.
14. Connectivity: Asia Has Scale, Europe Has Consistency
5G is becoming increasingly connected to IoT, particularly through private networks, industrial connectivity, massive IoT and edge computing.
GSMA reports that Asia-Pacific had around 1.5 billion mobile-internet users in 2024, increasing toward 1.8 billion by 2030 [20]. 5G has already reached mature adoption in countries including South Korea, Japan, Singapore and Australia.
Europe is also highly connected. GSMA expects 5G to represent approximately 88% of European mobile connections by 2030 [21].
Globally, NB-IoT and LTE-M crossed an important milestone at the end of 2025:
one billion active cellular LPWAN connections [22].
Asia, especially China, has played a major role in reaching that scale.
15. Who Is Actually Winning?
If we score the competition across several categories, my assessment looks like this:
| IoT capability | Europe | Asia | Leader |
|---|---|---|---|
| IoT deployment scale | ★★★ | ★★★★★ | Asia |
| Electronics manufacturing | ★★★ | ★★★★★ | Asia |
| IoT patents | ★★★ | ★★★★★ | Asia |
| 5G / massive IoT deployment | ★★★★ | ★★★★★ | Asia |
| Industrial engineering | ★★★★★ | ★★★★★ | Tie |
| Industrial automation | ★★★★★ | ★★★★★ | Tie, different strengths |
| Smart-city deployment | ★★★★ | ★★★★★ | Asia |
| IoT data governance | ★★★★★ | ★★★ | Europe |
| Cybersecurity regulation | ★★★★★ | ★★★★ | Europe |
| Interoperability / standards culture | ★★★★★ | ★★★★ | Europe |
| Edge / industrial architecture | ★★★★★ | ★★★★ | Europe slight lead |
| Speed from pilot to mass deployment | ★★★ | ★★★★★ | Asia |
Overall winner: Asia
But the reason matters.
Asia does not win because every Asian country is ahead of every European country. Far from it.
Asia wins because its leading economies have built something extremely difficult to replicate:
A complete physical technology ecosystem capable of manufacturing, connecting and deploying IoT systems at enormous scale.
China brings deployment scale and manufacturing.
Taiwan contributes semiconductor and electronics expertise.
South Korea combines semiconductors, telecommunications and extraordinary industrial automation.
Japan contributes industrial engineering, robotics and manufacturing.
Singapore demonstrates sophisticated national IoT architecture and smart-city deployment.
Put those capabilities together, and Asia becomes extremely difficult to beat.
16. Europe Still Has Something Asia Should Not Ignore
There is another side to the argument.
Deploying billions of devices does not automatically create better operations.
That distinction will become increasingly important.
The world has largely solved the first IoT problem:
Can we connect things?
The next problems are harder:
Can we trust the data?
Can different systems exchange information?
Can operators understand what is happening?
Can AI safely make decisions using the data?
Who owns machine-generated data?
Who is responsible when connected systems fail?
Can an organisation remain operational during cyberattacks or cloud outages?
These questions play directly to Europe’s strengths.
17. The IoT Race Is Moving From Connectivity to Operational Intelligence
This may be the biggest shift of all.
For much of the last fifteen years, the IoT industry measured success by:
number of devices, number of connections, messages processed, dashboards created and data collected.
Those metrics made sense while connectivity was difficult.
Connectivity is becoming increasingly commoditised.
The new value chain looks more like:
Connected Assets
↓
Trusted Operational Data
↓
Operational Visibility
↓
AI / Decision Intelligence
↓
Operational Action
↓
Measured Outcome
The winner of the next IoT era may not be the country that connects the most sensors.
It may be the ecosystem that turns connected physical infrastructure into the best decisions.
18. What Can We Learn From Asia?
Asia provides several lessons that countries trying to grow their IoT industries should study carefully.
Lesson 1: Stop treating IoT as a collection of pilots
One of the biggest weaknesses in many countries is endless experimentation.
Smart parking pilot.
Flood-monitoring pilot.
Smart agriculture pilot.
Smart building pilot.
Industrial monitoring pilot.
After twelve months, another pilot starts.
China’s approach demonstrates the power of moving from:
Pilot → standard → infrastructure → mass deployment.
That is how billions of connections emerge.
Lesson 2: Build demand and supply together
A healthy IoT ecosystem needs far more than IoT startups.
It requires:
semiconductors, sensors, device manufacturing, gateways, telecommunications, cloud infrastructure, platforms, systems integrators, application developers, cybersecurity providers and customers.
Asia’s strongest economies have much of this supply chain located close together.
That dramatically shortens the distance between concept and deployment.
Lesson 3: Connect IoT with national priorities
China did not build IoT simply because IoT was fashionable.
IoT became connected to manufacturing, telecommunications, automotive, logistics, energy, agriculture, infrastructure and smart cities.
Japan connected it to Society 5.0.
Singapore connected it to Smart Nation.
South Korea connected it with manufacturing automation and smart cities.
This is very different from having a government document titled “National IoT Strategy” without strong operational programmes underneath it.
Lesson 4: Scale creates its own ecosystem
A project with 100 devices has one economic structure.
A programme with one million devices has another.
At sufficient scale:
hardware costs fall, technical skills grow, local suppliers emerge, deployment processes become repeatable and application ecosystems form.
Asia has understood this extremely well.
19. What Asia Can Learn From Europe
The learning should go both directions.
Europe’s experience raises several warnings.
Secure devices throughout their lifecycle
Security cannot end when a device leaves the factory.
Connected infrastructure may remain operational for ten, fifteen or twenty years.
Europe’s Cyber Resilience Act reflects this lifecycle perspective [10].
Avoid vendor-controlled data silos
The Data Act introduces a very important principle:
Users should have meaningful access to data generated by the connected products they operate [9].
That philosophy could become fundamental to industrial AIoT.
Interoperability matters more as IoT grows
A hundred independent IoT systems can create another problem:
one hundred new data silos.
Interoperability needs to exist at:
device, protocol, semantic, platform, API, identity and data levels.
European standards organisations have spent considerable effort addressing these issues.
Trust becomes infrastructure
Once IoT begins controlling utilities, factories, transportation and public infrastructure, reliability and governance stop being optional technical features.
They become part of public safety.
20. The Biggest Lesson for Malaysia
For Malaysia and many other middle-sized economies, trying to beat China in hardware manufacturing volume or IoT connection numbers would be the wrong contest.
There is another opportunity.
Malaysia can study Asia’s deployment mentality while adopting Europe’s emphasis on trusted systems.
The model could be:
Asia’s speed
Europe’s trust
Malaysia’s domain expertise
Malaysia already has strong sectors where this combination could work:
water, energy, oil and gas, palm oil, manufacturing, logistics, ports, buildings, telecommunications, agriculture and smart cities.
Instead of asking:
“How many IoT devices have we connected?”
we should increasingly ask:
“What operational problem disappeared after we connected them?”
That is a far more demanding measure.
It also takes IoT beyond connectivity.
21. My Final Verdict
If the competition is:
“Who can manufacture and deploy IoT faster and at greater scale?”
Asia wins comfortably.
If the competition is:
“Who has stronger industrial architecture, data rights, cybersecurity and regulatory frameworks?”
Europe wins.
If the competition is:
“Who currently has the stronger overall IoT ecosystem?”
My answer is:
Asia
China’s 2.888 billion mobile IoT connections, nearly 4.84 million 5G base stations, massive industrial robot installations and ambitious 10-billion-IoT-device target are extremely difficult to dismiss [12][13][14].
Combine China with South Korea, Japan, Taiwan and Singapore and the advantage becomes even larger.
Yet I would not copy Asia blindly.
The best IoT ecosystem of the future probably looks like this:
Asian scale + European trust + AI + operational intelligence.
And perhaps this is the biggest lesson from the entire comparison.
The first era of IoT was about connecting things.
The second became about collecting data.
We are now entering the third.
It will be about:
understanding what is actually happening across physical operations and acting before problems become failures.
The next winner may therefore be neither Europe nor Asia simply because it has the most connected devices.
The real winner will be whoever turns those connections into continuous operational visibility, better decisions and measurable outcomes.
References
[1] OECD (2023), Measuring the Internet of Things. OECD Publishing. Provides cross-country evidence on IoT adoption, patents, semiconductors, investment and industrial applications.
OECD: Measuring the Internet of Things
[2] World Bank, Europe 4.0: Addressing Europe’s Digital Dilemma. Examines Europe’s strengths in operational technologies including robotics and IoT.
World Bank: Europe 4.0
[3] Eurostat, Smart technologies in EU enterprises: AI and IoT. Enterprise IoT adoption statistics across EU countries.
Eurostat: AI and IoT in EU enterprises
[4] OECD, IoT Use by Businesses. Sector and firm-level analysis of IoT adoption.
OECD: IoT uptake by business
[5] International Federation of Robotics, Robot Density Surges in Europe, Asia and Americas, 2026. Regional and national industrial robot-density figures based on World Robotics 2025.
International Federation of Robotics: Robot density report
[6] Germany Trade & Invest / IFR, Germany is Europe’s Leading Robotics Nation. German industrial robot deployment and density statistics.
Germany robotics statistics
[7] European Commission, Investing in Cloud, Edge and the Internet of Things. EU strategy covering IoT, edge infrastructure and Digital Decade targets.
European Commission: Cloud, Edge and IoT
[8] European Commission, A Roadmap for the Next-Generation IoT in Europe. European strategy for IoT and edge computing.
European Commission: Next-Generation IoT Roadmap
[9] European Commission, Data Act. EU rules governing access to and use of data generated by connected products.
European Commission: EU Data Act
[10] European Commission, A Safer Digital Future: New Cyber Rules Become Law. Overview of the Cyber Resilience Act and connected-product cybersecurity requirements.
European Commission: Cyber Resilience Act overview
[11] ENISA, Cybersecurity Standards. European cybersecurity standardisation policies and organisations.
ENISA: Cybersecurity standards
[12] Ministry of Industry and Information Technology of China, 2025 Communications Industry Statistical Bulletin. Reports 2.888 billion mobile IoT terminal users at the end of 2025.
China MIIT: 2025 telecommunications and IoT statistics
[13] State Council of the People’s Republic of China, China’s 5G base stations top 4.83 million by end of 2025.Official Chinese 5G infrastructure statistics.
China Government: 2025 5G statistics
[14] State Council of the People’s Republic of China, China aims for core IoT industry scale of over 3.5 trillion yuan by 2028. Covers China’s 2028 IoT targets including 10 billion terminal connections.
China Government: 2028 IoT Action Plan
[15] OECD, Additional Metrics and Sources to Measure the Internet of Things. IoT patent statistics including China, Korea, the US and major technology companies.
OECD: IoT patents and investment metrics
[16] Cabinet Office, Government of Japan, Society 5.0. Japan’s official cyber-physical society strategy.
Government of Japan: Society 5.0
[17] Ministry of Economy, Trade and Industry Japan, Connected Industries. Japan’s strategy connecting IoT, AI, industry and society.
METI Japan: Connected Industries
[18] Singapore Smart Nation, Sensors & Internet of Things. Information about Singapore’s Smart Nation Sensor Platform and large-scale sensor infrastructure.
Singapore Smart Nation: Sensors and IoT
[19] Infocomm Media Development Authority Singapore, Internet of Things Standards. Singapore IoT interoperability and cybersecurity standards including SS 695:2023.
IMDA Singapore: IoT standards
[20] GSMA, The Mobile Economy Asia Pacific 2025. Regional connectivity, 5G adoption and mobile-economic indicators.
GSMA: Mobile Economy Asia Pacific 2025
[21] GSMA, The Mobile Economy Europe 2026. European 5G, digital infrastructure and mobile-economy forecasts.
GSMA: Mobile Economy Europe 2026
[22] GSMA, One Billion LPWAN Connections. Reports the milestone of one billion NB-IoT and LTE-M connections worldwide at the end of 2025.
GSMA: One Billion Mobile IoT Connections
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