MCG Reports
The Fast Track for LEDs into Large-Area LCDs:
Leveraging Consumer Valuation of LED Features
Principal Researchers and Analysts: Steve Marsland, Steve Jurichich (PhD)
and Carl Cobb
234 pages
August 27, 2007
___________________________________________________
Leveraging Consumer Valuation of LED Features
Principal Researchers and Analysts: Steve Marsland, Steve Jurichich (PhD)
and Carl Cobb
234 pages
August 27, 2007
___________________________________________________
Table of Contents
| 1 | Executive Summary | 3 | ||
| 2 | Summary of Findings and Recommendations | 8 | ||
| 2.1 | Findings | 8 | ||
| 2.2 | Summary of Cost, Consumer Value, Risk and Market Share Growth by Application | 10 | ||
| 2.3 | Recommendations | 12 | ||
| 2.3.1 | For LED makers | 12 | ||
| 2.3.2 | For LCD Panel and End-Product Makers | 13 | ||
| 3 | LEDs: The Long-Term LCD Lighting Solution | 15 | ||
| 3.1 | LED improvements create an immediate window of opportunity to market to consumers | 16 | ||
| 3.1.1 | Haitz’s Law | 16 | ||
| 3.2 | Cost improvement | 22 | ||
| 3.3 | Fast Track for LEDs must leverage perception of consumer value by application | 26 | ||
| 3.4 | Synergy with other technologies and applications will accelerate the conversion | 26 | ||
| 3.4.1 | Synergy with LEDs in architectural lighting | 26 | ||
| 3.4.2 | Trends in optical films | 27 | ||
| 3.4.3 | Fast switching LCDs | 27 | ||
| 4 | Consumer value modeling – the fast track | 28 | ||
| 4.1 | The fast track for LEDs | 28 | ||
| 4.2 | Potential for a Five Year Delay for LEDs | 28 | ||
| 4.3 | Summary of Consumer Value Modeling Approach | 28 | ||
| 4.3.1 | What display improvements will consumers pay for? | 29 | ||
| 4.3.2 | Which of these improvements can LEDs deliver? | 29 | ||
| 4.3.3 | What level of improvement can each LED architecture deliver? | 30 | ||
| 4.3.4 | What is the cost for each LED architecture vs. CCFL? | 30 | ||
| 4.3.5 | What is each improved feature worth to consumers? | 31 | ||
| 4.3.6 | What is the consumer perception of risk? | 32 | ||
| 4.3.7 | How much faster will market share grow if the feature is priced lower? | 32 | ||
| 4.3.8 | How much more will consumers pay for the feature package for each LED architecture? | 33 | ||
| 4.3.9 | Which LED architecture offers the best value for each market segment? | 33 | ||
| 4.3.10 | What consumer price premium offers fastest profitable growth? | 34 | ||
| 4.3.11 | What is the overall fast track for LEDs? | 34 | ||
| 4.4 | Analytic Framework | 34 | ||
| 4.4.1 | Consumer perceived value and relative value/price | 36 | ||
| 4.4.2 | Consumer perceived risk | 40 | ||
| 4.4.3 | Switching costs | 43 | ||
| 4.4.4 | Consumer new product adoption dynamics | 44 | ||
| 4.4.5 | Varying the Actual Price Premium | 48 | ||
| 4.4.6 | Deriving Actual Consumer Value Functions and Perceived Risk for Display Features | 51 | ||
| 4.5 | Features | 51 | ||
| 4.5.1 | High Dynamic Range/Contrast | 51 | ||
| 4.5.2 | Higher color gamut | 51 | ||
| 4.5.3 | “Green” - exceeds environmental regulation requirements | 52 | ||
| 4.5.4 | Thickness | 52 | ||
| 4.5.5 | Weight | 52 | ||
| 4.5.6 | Screen Size | 52 | ||
| 4.5.7 | Definition | 53 | ||
| 4.6 | Satisficers | 53 | ||
| 4.6.1 | Battery Life | 53 | ||
| 4.6.2 | Brightness | 53 | ||
| 4.6.3 | Brightness Uniformity | 53 | ||
| 4.6.4 | Color uniformity | 53 | ||
| 4.6.5 | Absence of Flicker | 54 | ||
| 4.6.6 | Wide Viewing Angle | 54 | ||
| 4.6.7 | Reducing Motion Blur | 54 | ||
| 4.6.8 | Sufficient Lifetime | 54 | ||
| 4.6.9 | Environmental regulation compliance | 54 | ||
| 5 | 46” TVs | 55 | ||
| 5.1 | Technology Performance Forecast | 55 | ||
| 5.1.1 | Cost | 55 | ||
| 5.1.2 | Higher Color Gamut | 57 | ||
| 5.1.3 | Contrast Ratio | 58 | ||
| 5.1.4 | Thickness | 61 | ||
| 5.1.5 | Optical Films | 61 | ||
| 5.2 | Consumer Value | 63 | ||
| 5.2.1 | Summary of Findings | 63 | ||
| 5.2.2 | Higher Color Gamut | 65 | ||
| 5.2.3 | High Dynamic Range/Contrast | 66 | ||
| 5.2.4 | Depth/Thickness | 68 | ||
| 5.2.5 | Weight | 69 | ||
| 5.2.6 | Value of Feature Package | 69 | ||
| 6 | 32” TVs | 77 | ||
| 6.1 | Technology Performance Forecast | 77 | ||
| 6.1.1 | Cost | 77 | ||
| 6.1.2 | Higher color gamut | 80 | ||
| 6.1.3 | High Dynamic Range/Contrast | 81 | ||
| 6.1.4 | Thickness/depth | 83 | ||
| 6.1.5 | Optical Films | 84 | ||
| 6.2 | Consumer Value | 85 | ||
| 6.2.1 | Summary of Findings | 85 | ||
| 6.2.2 | Higher Color Gamut | 87 | ||
| 6.2.3 | High Dynamic Range/Contrast | 89 | ||
| 6.2.4 | Depth/Thickness | 92 | ||
| 6.2.5 | Weight | 93 | ||
| 6.2.6 | Value of Feature Package | 94 | ||
| 7 | Portable Notebooks | 101 | ||
| 7.1 | Technology Performance Forecast | 101 | ||
| 7.1.1 | Cost Projections | 101 | ||
| 7.1.2 | Higher Color Gamut | 106 | ||
| 7.1.3 | Static and Dynamic Contrast Ratio | 108 | ||
| 7.1.4 | Thickness | 109 | ||
| 7.1.5 | Weight | 110 | ||
| 7.1.6 | Optical Films | 115 | ||
| 7.2 | Consumer Value | 116 | ||
| 7.2.1 | Summary of Findings | 117 | ||
| 7.2.2 | Higher Color Gamut | 119 | ||
| 7.2.3 | High Dynamic Range/Contrast | 120 | ||
| 7.2.4 | Depth/Thickness | 122 | ||
| 7.2.5 | Weight | 123 | ||
| 7.2.6 | Value of Feature Packages – Data-Only Use Segment | 124 | ||
| 7.2.7 | Value of Feature Packages – Dual Use Segment | 128 | ||
| 8 | Desktop Replacement Notebooks | 134 | ||
| 8.1 | Technology Performance Forecast | 134 | ||
| 8.1.1 | Cost | 134 | ||
| 8.1.2 | Higher color gamut | 136 | ||
| 8.1.3 | High Dynamic Range/Contrast | 137 | ||
| 8.1.4 | Thickness/depth | 139 | ||
| 8.1.5 | Optical Films | 140 | ||
| 8.2 | Consumer Value | 141 | ||
| 8.2.1 | Summary of Findings | 141 | ||
| 8.2.2 | Higher Color Gamut | 142 | ||
| 8.2.3 | High Dynamic Range/Contrast | 144 | ||
| 8.2.4 | Depth/Thickness | 145 | ||
| 8.2.5 | Weight | 146 | ||
| 8.2.6 | Value of Feature Package – Data-only Use | 146 | ||
| 8.2.7 | Value of Feature Package – Dual Use | 151 | ||
| 9 | Monitors | 158 | ||
| 9.1 | Technology Performance Forecast | 158 | ||
| 9.1.1 | Cost | 158 | ||
| 9.1.2 | Higher color gamut | 160 | ||
| 9.1.3 | Static and Dynamic Contrast Ratio | 161 | ||
| 9.1.4 | Thickness/depth | 163 | ||
| 9.1.5 | Optical Films | 164 | ||
| 9.2 | Consumer Value | 165 | ||
| 9.2.1 | Summary of Findings | 165 | ||
| 9.2.2 | Higher Color Gamut | 166 | ||
| 9.2.3 | High Dynamic Range/Contrast | 169 | ||
| 9.2.4 | Depth/Thickness | 170 | ||
| 9.2.5 | Weight | 171 | ||
| 9.2.6 | Value of Feature Package – Data-only Use | 171 | ||
| 9.2.7 | Value of Feature Package – Dual Use | 172 | ||
| 10 | Field Sequential Color – A Wild Card | 178 | ||
| 10.1 | FSC Overview | 178 | ||
| 10.2 | Field Sequential Color Technical Issues | 179 | ||
| 10.2.1 | Flicker | 179 | ||
| 10.2.2 | Color Break-Up | 179 | ||
| 10.2.3 | Light Transmission | 180 | ||
| 10.2.4 | Gray Scale | 183 | ||
| 10.3 | Improvements in switching speed for LCDs | 183 | ||
| 10.4 | Projected FSC feasibility point | 186 | ||
| 11 | The Fast Track for LEDs | 186 | ||
| 11.1 | Fast Track Forecast for LEDs | 186 | ||
| 11.1.1 | Overall Demand Forecast for Large Area LCD displays | 186 | ||
| 11.1.2 | Notebooks | 189 | ||
| 11.1.3 | Monitors | 197 | ||
| 11.1.4 | TVs | 197 | ||
| 11.1.5 | Aggregate forecast | 200 | ||
| 11.2 | Implied forecast of demand for optical films | 203 | ||
| 12 | Growth Implications of Pricing | 205 | ||
| 13 | Summary | 208 | ||
| 13.1 | Five years are at stake | 208 | ||
| 13.2 | Strategic recommendations | 208 | ||
| 13.2.1 | For LED makers | 208 | ||
| 13.2.2 | For LCD Panel and End-Product Makers | 209 | ||
| 14 | Appendix A – Overview of High Dynamic Range (HDR) Levels | 211 | ||
| 15 | Appendix B – Overview of Key Regression Analyses | 215 | ||
| 16 | Appendix C – Consumer Valuation Methodology Explained in Detail for Color Gamut | 217 | ||

