GITNUXREPORT 2025

AI In The Lighting Industry Statistics

AI in lighting industry growing rapidly, saving energy, enhancing efficiency and user experience.

Jannik Linder

Co-Founder of Gitnux, specialized in content and tech since 2016.

First published: April 29, 2025

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Statistic 1

AI-powered smart lighting systems can reduce energy consumption by up to 75%

Statistic 2

AI algorithms help optimize lighting schedules, leading to an average energy savings of 30% in smart cities

Statistic 3

Smart lighting controls utilizing AI can dynamically adjust lighting based on occupancy, reducing unnecessary energy use by 50%

Statistic 4

AI-driven lighting systems can contribute to a 25% increase in productivity in office environments, through better lighting quality and adjustments

Statistic 5

AI in outdoor lighting systems can reduce light pollution by 15% through adaptive controls, enhancing night sky visibility

Statistic 6

AI-powered street lighting can adapt to weather conditions, resulting in up to 40% energy savings during adverse weather

Statistic 7

AI-driven lighting systems could increase lifespan of LED fixtures by 20%, due to optimized operation and predictive maintenance

Statistic 8

AI-based daylight harvesting systems can reduce electrical lighting costs in commercial buildings by up to 40%

Statistic 9

AI-enabled lighting in hospitals has improved energy efficiency by 22% and provided better patient outcomes through personalized lighting

Statistic 10

AI-driven lighting solutions are shown to reduce glare in workspaces by 60%, leading to decreased eye strain for employees

Statistic 11

AI-powered sensors calculate optimal lighting levels in real-time, reducing energy usage by an average of 28% in commercial buildings

Statistic 12

AI in lighting is expected to help reduce overall carbon emissions from the lighting sector by 20% by 2030, due to energy savings and smarter control

Statistic 13

In smart homes, AI lighting systems adapt to user routine changes, leading to an 8% decrease in energy consumption over traditional systems

Statistic 14

The use of AI in outdoor stadium lighting ensures optimal brightness levels, resulting in energy savings of up to 25%, and improved broadcast quality

Statistic 15

AI-driven lighting systems can automatically adjust for seasonal daylight changes, reducing the need for manual interventions by 70%

Statistic 16

AI systems can analyze vast datasets from sensor networks to optimize lighting in real-time, leading to a 12% reduction in overall energy costs

Statistic 17

AI-enabled lighting in public transportation reduces energy consumption by 20%, while improving passenger safety with better illumination

Statistic 18

The use of AI in lighting can help meet LEED certification standards by optimizing energy use and reducing environmental impact

Statistic 19

The global AI in lighting market was valued at $1.2 billion in 2022 and is projected to reach $4.8 billion by 2028, growing at a CAGR of 25.4%

Statistic 20

60% of commercial buildings globally are expected to adopt AI-driven lighting solutions by 2030

Statistic 21

In retail environments, AI lighting systems improve customer engagement by 20% through adaptive lighting schemes

Statistic 22

45% of lighting manufacturers are investing in AI research and development as of 2023

Statistic 23

The adoption rate of AI in industrial lighting solutions is projected to grow at 22% annually from 2023 to 2027

Statistic 24

Approximately 70% of new commercial lighting projects in Europe incorporate AI features as of 2023

Statistic 25

AI-powered lighting is expected to account for nearly 35% of global lighting sales by 2025

Statistic 26

In 2023, the global adoption of AI-based lighting controls grew by 18%, driven by sustainability goals

Statistic 27

48% of lighting project managers report that AI has improved customer satisfaction with lighting solutions

Statistic 28

The use of AI in lighting control systems is projected to grow at a CAGR of 24% through 2027

Statistic 29

Approximately 65% of smart building automation companies include AI features in their lighting solutions by 2024

Statistic 30

In 2023, global investments in AI lighting startups surpassed $200 million, indicating rapid industry growth

Statistic 31

The adoption of AI in lighting design software enhances creative capabilities, with 65% of designers using AI tools as of 2024

Statistic 32

52% of energy-efficient building projects planned for 2024 include AI-based lighting controls, reflecting industry shift toward smarter buildings

Statistic 33

AI's role in smart lighting is estimated to create over 50,000 new jobs globally in manufacturing, installation, and maintenance by 2027

Statistic 34

The increasing use of AI in automated building systems including lighting is projected to boost the global smart building market value to $157 billion by 2025

Statistic 35

By 2024, 75% of new institutional buildings are expected to incorporate AI-driven lighting for energy efficiency and user comfort

Statistic 36

55% of urban planners surveyed believe AI will significantly improve the efficiency of city lighting infrastructure by 2026

Statistic 37

Machine learning algorithms are now used to personalize lighting in healthcare facilities, improving patient comfort and recovery times

Statistic 38

The deployment of AI-based lighting in airports has increased baggage handling efficiency by 15% by improving visibility and control

Statistic 39

AI predictive maintenance in lighting has reduced unplanned outages by 35%, enhancing reliability of lighting systems in critical infrastructure

Statistic 40

AI-powered lighting solutions in museums increase visitor engagement by 18%, through tailored lighting that highlights exhibits effectively

Statistic 41

AI-powered lighting in art galleries enhances artwork visibility and viewer experience, increasing visitor dwell time by 12%

Statistic 42

AI-enabled lighting systems can predict bulb failures with 98% accuracy, reducing maintenance costs by 40%

Statistic 43

AI integration in lighting systems reduces wiring complexity and enables easier installation, cutting setup time by 20-30%

Statistic 44

AI integration allows lighting systems to detect and respond to human emotions, enhancing ambiance in various settings

Statistic 45

Predictive analytics with AI in lighting systems have saved companies up to $50,000 annually by preventing failures

Statistic 46

AI technologies enable dynamic color tuning in architectural lighting, enhancing visual impact and aesthetic appeal

Statistic 47

80% of new smart lighting installations incorporate AI features as of 2023, reflecting rapid industry adoption

Statistic 48

AI-enabled lighting systems are capable of memorizing user preferences, leading to increased user satisfaction and energy efficiency

Statistic 49

The integration of AI in retail lighting systems increases sales conversions by up to 15% due to better product display lighting

Statistic 50

AI systems improve the safety of outdoor lighting by adapting to pedestrian and vehicle presence, decreasing accidents by an estimated 10%

Statistic 51

AI technology enables remote diagnostics of lighting systems, decreasing on-site visits by 40% and speeding up repair times

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Key Highlights

The global AI in lighting market was valued at $1.2 billion in 2022 and is projected to reach $4.8 billion by 2028, growing at a CAGR of 25.4%
AI-powered smart lighting systems can reduce energy consumption by up to 75%
60% of commercial buildings globally are expected to adopt AI-driven lighting solutions by 2030
AI algorithms help optimize lighting schedules, leading to an average energy savings of 30% in smart cities
In retail environments, AI lighting systems improve customer engagement by 20% through adaptive lighting schemes
45% of lighting manufacturers are investing in AI research and development as of 2023
AI-enabled lighting systems can predict bulb failures with 98% accuracy, reducing maintenance costs by 40%
Smart lighting controls utilizing AI can dynamically adjust lighting based on occupancy, reducing unnecessary energy use by 50%
The adoption rate of AI in industrial lighting solutions is projected to grow at 22% annually from 2023 to 2027
AI-driven lighting systems can contribute to a 25% increase in productivity in office environments, through better lighting quality and adjustments
Approximately 70% of new commercial lighting projects in Europe incorporate AI features as of 2023
Machine learning algorithms are now used to personalize lighting in healthcare facilities, improving patient comfort and recovery times
AI-powered lighting is expected to account for nearly 35% of global lighting sales by 2025

The AI revolution is illuminating the future of the lighting industry, projected to reach a $4.8 billion valuation by 2028 and transforming everything from energy savings and sustainability to customer engagement and infrastructure safety.

Environmental and Energy Efficiency Benefits

AI-powered smart lighting systems can reduce energy consumption by up to 75%
AI algorithms help optimize lighting schedules, leading to an average energy savings of 30% in smart cities
Smart lighting controls utilizing AI can dynamically adjust lighting based on occupancy, reducing unnecessary energy use by 50%
AI-driven lighting systems can contribute to a 25% increase in productivity in office environments, through better lighting quality and adjustments
AI in outdoor lighting systems can reduce light pollution by 15% through adaptive controls, enhancing night sky visibility
AI-powered street lighting can adapt to weather conditions, resulting in up to 40% energy savings during adverse weather
AI-driven lighting systems could increase lifespan of LED fixtures by 20%, due to optimized operation and predictive maintenance
AI-based daylight harvesting systems can reduce electrical lighting costs in commercial buildings by up to 40%
AI-enabled lighting in hospitals has improved energy efficiency by 22% and provided better patient outcomes through personalized lighting
AI-driven lighting solutions are shown to reduce glare in workspaces by 60%, leading to decreased eye strain for employees
AI-powered sensors calculate optimal lighting levels in real-time, reducing energy usage by an average of 28% in commercial buildings
AI in lighting is expected to help reduce overall carbon emissions from the lighting sector by 20% by 2030, due to energy savings and smarter control
In smart homes, AI lighting systems adapt to user routine changes, leading to an 8% decrease in energy consumption over traditional systems
The use of AI in outdoor stadium lighting ensures optimal brightness levels, resulting in energy savings of up to 25%, and improved broadcast quality
AI-driven lighting systems can automatically adjust for seasonal daylight changes, reducing the need for manual interventions by 70%
AI systems can analyze vast datasets from sensor networks to optimize lighting in real-time, leading to a 12% reduction in overall energy costs
AI-enabled lighting in public transportation reduces energy consumption by 20%, while improving passenger safety with better illumination
The use of AI in lighting can help meet LEED certification standards by optimizing energy use and reducing environmental impact

Environmental and Energy Efficiency Benefits Interpretation

AI's intelligent lighting solutions are illuminating a path toward energy efficiency and environmental sustainability, cutting waste by up to 75%, increasing productivity, and reducing carbon emissions, all while dynamically adapting to human needs and environmental conditions.

Market Adoption and Investment Trends

The global AI in lighting market was valued at $1.2 billion in 2022 and is projected to reach $4.8 billion by 2028, growing at a CAGR of 25.4%
60% of commercial buildings globally are expected to adopt AI-driven lighting solutions by 2030
In retail environments, AI lighting systems improve customer engagement by 20% through adaptive lighting schemes
45% of lighting manufacturers are investing in AI research and development as of 2023
The adoption rate of AI in industrial lighting solutions is projected to grow at 22% annually from 2023 to 2027
Approximately 70% of new commercial lighting projects in Europe incorporate AI features as of 2023
AI-powered lighting is expected to account for nearly 35% of global lighting sales by 2025
In 2023, the global adoption of AI-based lighting controls grew by 18%, driven by sustainability goals
48% of lighting project managers report that AI has improved customer satisfaction with lighting solutions
The use of AI in lighting control systems is projected to grow at a CAGR of 24% through 2027
Approximately 65% of smart building automation companies include AI features in their lighting solutions by 2024
In 2023, global investments in AI lighting startups surpassed $200 million, indicating rapid industry growth
The adoption of AI in lighting design software enhances creative capabilities, with 65% of designers using AI tools as of 2024
52% of energy-efficient building projects planned for 2024 include AI-based lighting controls, reflecting industry shift toward smarter buildings
AI's role in smart lighting is estimated to create over 50,000 new jobs globally in manufacturing, installation, and maintenance by 2027
The increasing use of AI in automated building systems including lighting is projected to boost the global smart building market value to $157 billion by 2025
By 2024, 75% of new institutional buildings are expected to incorporate AI-driven lighting for energy efficiency and user comfort

Market Adoption and Investment Trends Interpretation

With AI lighting projected to command nearly a third of global sales by 2025 and being integrated into 75% of new institutional buildings by 2024, it's clear that the industry is not just turning on the lights but actively scripting a smarter, sustainable, and more engaging future—highlighting that in the race for innovation, only those who embrace AI will truly shine.

Smart Building and Infrastructure Applications

55% of urban planners surveyed believe AI will significantly improve the efficiency of city lighting infrastructure by 2026

Smart Building and Infrastructure Applications Interpretation

With over half of urban planners betting on AI to brighten up city lighting by 2026, it seems smart cities are finally ready to shed some light on their efficiency issues.

Specialized Sector and Use Case Implementations

Machine learning algorithms are now used to personalize lighting in healthcare facilities, improving patient comfort and recovery times
The deployment of AI-based lighting in airports has increased baggage handling efficiency by 15% by improving visibility and control
AI predictive maintenance in lighting has reduced unplanned outages by 35%, enhancing reliability of lighting systems in critical infrastructure
AI-powered lighting solutions in museums increase visitor engagement by 18%, through tailored lighting that highlights exhibits effectively
AI-powered lighting in art galleries enhances artwork visibility and viewer experience, increasing visitor dwell time by 12%

Specialized Sector and Use Case Implementations Interpretation

These AI-driven lighting innovations illuminate a future where smarter, personalized, and more reliable lighting not only boosts operational efficiency across industries but also significantly enhances user experiences, proving that a brighter future is guided by intelligent illumination.

Technological Innovations and Capabilities

AI-enabled lighting systems can predict bulb failures with 98% accuracy, reducing maintenance costs by 40%
AI integration in lighting systems reduces wiring complexity and enables easier installation, cutting setup time by 20-30%
AI integration allows lighting systems to detect and respond to human emotions, enhancing ambiance in various settings
Predictive analytics with AI in lighting systems have saved companies up to $50,000 annually by preventing failures
AI technologies enable dynamic color tuning in architectural lighting, enhancing visual impact and aesthetic appeal
80% of new smart lighting installations incorporate AI features as of 2023, reflecting rapid industry adoption
AI-enabled lighting systems are capable of memorizing user preferences, leading to increased user satisfaction and energy efficiency
The integration of AI in retail lighting systems increases sales conversions by up to 15% due to better product display lighting
AI systems improve the safety of outdoor lighting by adapting to pedestrian and vehicle presence, decreasing accidents by an estimated 10%
AI technology enables remote diagnostics of lighting systems, decreasing on-site visits by 40% and speeding up repair times

Technological Innovations and Capabilities Interpretation

As AI illuminates the lighting industry, its ability to predict failures, personalize ambiance, and streamline installations not only brightens our spaces more intelligently but also offers a compelling 40% reduction in maintenance costs—proving that in the future, good lighting isn’t just about brightness but about smart, cost-effective brilliance.