Secondary industry is throwing out old playbooks fast, and the spending numbers are matching the ambition. In 2023, digital investment reached $300 billion, even as only 45% of construction firms had implemented digital tools and 52% of SMEs still cite high costs as a barrier. What stands out is how uneven progress is, from IoT and cloud adoption to ERP upgrades and cybersecurity, and the challenges that keep many projects from scaling.
Key Takeaways
- 68% of secondary industry firms have initiated digital transformation projects by 2023
- 52% of manufacturing companies in secondary sector adopted IoT by 2022
- 45% of construction firms implemented digital tools in 2023
- 45% of secondary firms cite skills gap as top challenge
- Cybersecurity threats delay 30% projects
- Legacy systems hinder 60% transformations
- Secondary industry digital investments reached $300 billion in 2023
- Manufacturing digital spending projected to $500B by 2025
- Construction tech investments $15B in 2023
- Digital transformation boosts manufacturing productivity by 15-20% on average
- IoT reduces downtime by 50% in factories
- AI predictive maintenance cuts costs 10-40%
- 82% of digitally mature manufacturers use IoT extensively
- 75% employ AI for predictive maintenance
- Cloud platforms used by 70% secondary firms
Most secondary industry firms are already rolling out digital transformation, improving productivity despite skills and cybersecurity hurdles.
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01 · Category
Adoption Rates30 stats
01
68% of secondary industry firms have initiated digital transformation projects by 2023
02
52% of manufacturing companies in secondary sector adopted IoT by 2022
03
45% of construction firms implemented digital tools in 2023
04
61% of mining companies pursuing Industry 4.0 initiatives
05
70% of utilities sector digitized operations partially by 2024
06
55% of secondary manufacturers using cloud computing
07
48% adoption rate of AI in manufacturing processes 2023
08
39% of construction firms with BIM implementation
09
62% of oil & gas secondary firms digitalizing supply chains
10
57% utilities adopting smart grid tech by 2023
11
64% manufacturers piloting digital twins
12
41% mining sector using predictive analytics
13
59% construction with mobile tech adoption
14
66% secondary industry firms with ERP upgrades
15
53% utilities with cybersecurity enhancements digital
16
49% manufacturing with robotics integration started
17
71% large secondary firms leading in digital adoption
18
44% SMEs in secondary industry digitalizing
19
58% automotive manufacturing fully digital strategy
20
63% chemicals sector with digital platforms
21
50% construction using drones for surveys 2023
22
67% mining with fleet management digital
23
54% utilities IoT sensors deployed
24
60% manufacturing big data analytics adopted
25
46% secondary firms with 5G pilots
26
65% aerospace manufacturing digital threads
27
51% food processing digital transformation active
28
69% pharmaceuticals secondary digitalized R&D
29
47% textiles manufacturing with automation
30
56% metals processing Industry 4.0 adopted
Interpretation
Adoption Rates Interpretation
While the secondary industry is collectively stumbling towards a digital future, the stark reality is that a confident minority of large firms are building the future, a hesitant majority of others are still cautiously unpacking the toolbox, and a worrying number haven't even bought the instructions yet.
02 · Category
Challenges and Risks26 stats
01
45% of secondary firms cite skills gap as top challenge
02
Cybersecurity threats delay 30% projects
03
Legacy systems hinder 60% transformations
04
High costs barrier for 52% SMEs
05
Data silos affect 55% efficiency gains
06
Regulatory compliance slows 40% utilities digital
07
Change resistance from workforce 48%
08
Integration issues in 65% IoT rollouts
09
Supply chain disruptions impact 70% digital plans
10
Vendor lock-in risks 35% cloud migrations
11
Scalability problems in 42% AI pilots
12
Privacy concerns limit 50% data usage
13
Infrastructure gaps in 58% remote sites mining
14
ROI uncertainty delays 47% investments
15
Interoperability issues 62% multi-vendor
16
Talent shortage 70% for data scientists
17
Energy consumption spikes 25% from digital
18
Cultural inertia 55% large firms
19
Budget overruns in 40% projects
20
Vendor reliability issues 33%
21
Ethical AI concerns 38% deployment
22
Downtime during transitions 45%
23
Standards lack hampers 50% construction digital
24
Geopolitical risks to tech supply 60%
25
Measurement of success unclear 52%
26
Overreliance on tech risks 44%
Interpretation
Challenges and Risks Interpretation
While your grand digital ambitions are admirably lofty, the sobering truth is that a perfect storm of entrenched legacy systems, rampant skills shortages, crippling cyber threats, and human resistance means your transformation is more likely to stumble over its own shoelaces than sprint toward the future.
03 · Category
Investment and Spending29 stats
01
Secondary industry digital investments reached $300 billion in 2023
02
Manufacturing digital spending projected to $500B by 2025
03
Construction tech investments $15B in 2023
04
Mining digital capex up 25% to $10B 2023
05
Utilities digital transformation budget $200B by 2024
06
40% of secondary industry IT budgets to digital by 2023
07
$1.2T cumulative digital investments in manufacturing 2018-2023
08
AI investments in secondary sector $50B annually
09
IoT spending in industry $250B in 2023
10
Cloud migration costs for manufacturing $100B 2022-2024
11
Robotics investments $20B in secondary industry 2023
12
Digital twin market spend $15B in manufacturing
13
Cybersecurity spend up 30% to $12B in utilities
14
5G infrastructure investments $8B for industry
15
Predictive maintenance investments $5B in mining
16
ERP digital upgrades $30B across secondary
17
Supply chain digitalization $40B spend 2023
18
AR/VR training investments $2B in construction
19
Big data platforms $18B in manufacturing
20
Sustainability digital tools $10B investment
21
Edge computing spend $7B secondary industry
22
Blockchain pilots $3B in supply chains
23
Workforce upskilling digital $25B annually
24
Smart factory retrofits $60B 2023
25
Digital procurement platforms $11B spend
26
Sensor networks $14B investment mining/utilities
27
RPA investments $4B secondary sector
28
Metaverse industrial apps $1B early investments
29
Quantum computing pilots $500M in manufacturing
Interpretation
Investment and Spending Interpretation
While these eye-watering billions prove secondary industries are finally serious about digitization, the sheer scale of investment feels like a frantic, planet-wide retrofit to teach old industrial dogs an entire encyclopedia of new tech tricks.
More related reading
04 · Category
Performance Improvements30 stats
01
Digital transformation boosts manufacturing productivity by 15-20% on average
02
IoT reduces downtime by 50% in factories
03
AI predictive maintenance cuts costs 10-40%
04
Digital twins improve efficiency 20%
05
Cloud ERP increases throughput 25%
06
Robotics boost output 30% in assembly
07
Big data analytics yield 5-10% cost savings
08
5G enables 40% faster data processing
09
AR reduces construction errors 30%
10
Blockchain cuts supply delays 25%
11
Edge computing lowers latency 60%
12
RPA automates 40% routine tasks
13
Machine vision improves quality 35%
14
Drones speed inspections 70%
15
Smart grids optimize energy 15-20%
16
3D printing shortens prototypes 50%
17
MES systems cut production time 20%
18
Cyber defenses reduce breach impacts 50%
19
PLM accelerates design 25%
20
Wearables improve safety 40% fewer incidents
21
GenAI speeds innovation 30%
22
Digital threads reduce errors 28%
23
Cobots increase flexibility 35%
24
Low-code apps deploy 10x faster
25
Satellite monitoring boosts yield 12%
26
Voice AI cuts picking errors 50%
27
Hyperautomation lifts overall 25%
28
Quantum optimization 100x faster simulations
29
Metaverse training cuts time 40%
30
Holograms improve collaboration 22%
Interpretation
Performance Improvements Interpretation
All these glowing statistics confirm that while the industrial revolution gave us the machines, the digital revolution is finally teaching them how to talk to each other, stop breaking down, and generally stop being such expensive, error-prone divas.
05 · Category
Technology Usage30 stats
01
82% of digitally mature manufacturers use IoT extensively
02
75% employ AI for predictive maintenance
03
Cloud platforms used by 70% secondary firms
04
Digital twins implemented in 55% factories
05
Robotics automation in 65% assembly lines
06
Big data analytics by 60% for optimization
07
5G networks trialed in 40% smart factories
08
AR/VR for training in 50% construction sites
09
Blockchain for supply chain in 35% manufacturing
10
Edge computing in 45% IoT deployments
11
RPA bots in 58% admin processes secondary
12
Machine vision systems in 62% quality control
13
Drones for inspection in 48% mining/construction
14
Smart sensors in 77% utilities grids
15
Additive manufacturing (3D printing) 52% adoption
16
MES systems integrated in 69% production lines
17
Cybersecurity AI tools in 63% digital ops
18
PLM software digital in 59% product dev
19
Wearables for worker safety 41% usage
20
Generative AI prototyping 30% early use
21
Quantum sensors piloted 10% advanced firms
22
Metaverse simulations 25% R&D
23
Hyperautomation suites 38% deployment
24
Digital thread in 54% aerospace
25
Collaborative robots (cobots) 47% factories
26
Low-code platforms 42% custom apps
27
Satellite data analytics 20% mining ops
28
Voice AI assistants 33% warehouse mgmt
29
Neuromorphic computing trials 5% R&D labs
30
Holographic displays 15% design reviews
Interpretation
Technology Usage Interpretation
It seems the factory of the future is being assembled with a frenetic mix of industrial pragmatism and science fiction daydreams, where seventy-seven percent of utilities are studded with smart sensors while holographic displays float in fifteen percent of design meetings, proving that the secondary industry’s digital transformation is less a tidy roadmap and more a determined, slightly chaotic sprint in every direction at once.
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
David Kowalski. (2026, February 13). Digital Transformation In The Secondary Industry Statistics. Gitnux. https://gitnux.org/digital-transformation-in-the-secondary-industry-statistics
MLA
David Kowalski. "Digital Transformation In The Secondary Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/digital-transformation-in-the-secondary-industry-statistics.
Chicago
David Kowalski. 2026. "Digital Transformation In The Secondary Industry Statistics." Gitnux. https://gitnux.org/digital-transformation-in-the-secondary-industry-statistics.
Sources & references
35 datasets cited across this report · attribution is report-level