{"id":4428,"date":"2026-08-13T11:38:35","date_gmt":"2026-08-13T09:38:35","guid":{"rendered":"https:\/\/gfu.de\/?page_id=4428"},"modified":"2026-08-31T16:55:33","modified_gmt":"2026-08-31T14:55:33","slug":"insights-trends-forecast-2026","status":"publish","type":"page","link":"https:\/\/gfu.de\/en\/insights-trends-forecast-2026\/","title":{"rendered":"Insights Trends Forecast 2026"},"content":{"rendered":"\n
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Insights & Trends Forecast<\/p>\n \n

The Market in Motion<\/h2>\n

Forecasts and Trends for Consumer and Home Electronics<\/strong><\/h3>\n

Changing consumer habits and global economic conditions are increasingly presenting companies with new challenges. To make well-founded decisions in this demanding environment, reliable data and forward-looking analyses are essential. With the Insights & Trends Forecast<\/em>, we build a bridge between analysis and industry experience.<\/p>\n<\/div>\n <\/div>\n\n

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First Edition IFA 2026<\/p>\n \n

Many segments,
\r\none look ahead.<\/h2>\n

From the overall market to future trends: each area shows where its segment is heading \u2013 with interactive revenue trends, forecasts, and the key drivers. Choose your starting point and follow the development through to 2027 \u2013 segment by segment, with all the figures and background information.<\/p>\n

TCG Overall Market<\/strong><\/a><\/p>\n

Consumer Electronics<\/strong><\/a><\/p>\n

Entertainment Electronics<\/strong><\/a><\/p>\n

Telecommunications & IT<\/strong><\/a><\/p>\n

Major Domestic Appliances<\/strong><\/a><\/p>\n

Small Domestic Appliances<\/strong><\/a><\/p>\n

Trend Topics<\/strong><\/a><\/p>\n

Methodology<\/strong><\/a><\/p>\n<\/div>\n \n <\/div>\n\n <\/div>\n\n \n

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Methodology<\/p>\n \n

A Hybrid Method Approach to Forecasting<\/h2>\n

Observing the past, scanning habits and surroundings for subtle clues, patterns or changes, and catching them long before the conscious mind is able to process them, might be interpreted as premonition \u2013 but most of the time, it is nothing but an unconscious process of logical deduction. So \u2013 what conclusion can we draw from today\u2019s market situation that will help us predict the future?<\/p>\n

To answer this question, GFU merged two established methodologies for insights into the market development for technical consumer goods in Germany. To this end, we combined a quantitative, statistical method \u2013 ridge regression \u2013 with a qualitative, multi-round survey method \u2013 the Delphi technique. This combination of data-driven modeling and solid industry expertise overcomes the drawbacks of purely mathematical trend extrapolations and generates robust, realistic forecast scenarios instead.<\/p>\n<\/div>\n <\/div>\n\n \n <\/div>\n<\/section>\n\n<\/div>\n <\/div>\n\n<\/section>\n\n\n\n

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The Data Core<\/p>\n \n

The Data Core: Ridge Regression Based on HEMIX and CEMIX<\/h2>\n

Our analyses are based on the established industry indices, HEMIX and CEMIX (historical sales data). Since there is often a strong correlation between the forces that drive consumer behavior, we employed a ridge regression based on Hoerl and Kennard (1970). This statistical method prevents overfitting to historical data and provides robust forecasts, even in times of volatility. The calculations are based on eight macroeconomic, technological, and demographic variables, which we weighted differently, due to slight differences in market factors affecting major domestic appliances (MDA) on the one hand and small domestic appliances and consumer electronics (SDA\/CE) on the other:<\/p>\n<\/div>\n \n <\/div>\n\n <\/div>\n\n \n

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#<\/th>\n parameter<\/th>\n weight factor (MDA)<\/th>\n weight factor (SDA\/CE)<\/th>\n <\/tr>\n <\/thead>\n
1<\/span><\/td>\n real disposable household income<\/th>\n \n very high<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n \n very high<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n <\/tr>\n
2<\/span><\/td>\n consumer climate \/ propensity to buy<\/th>\n \n very high<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n \n very high<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n <\/tr>\n
3<\/span><\/td>\n housing market: new building activity\/residential mobility<\/th>\n \n very high<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n \n medium<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n <\/tr>\n
4<\/span><\/td>\n product-specific price trends<\/th>\n \n high<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n \n medium to high<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n <\/tr>\n
5<\/span><\/td>\n interest rate levels and consumer loan terms<\/th>\n \n high<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n \n medium<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n <\/tr>\n
6<\/span><\/td>\n price of electricity and energy cost burden<\/th>\n \n medium<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n \n low to medium<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n <\/tr>\n
7<\/span><\/td>\n technological innovation cycle<\/th>\n \n medium<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n \n medium<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n <\/tr>\n
8<\/span><\/td>\n demographic change and budget development<\/th>\n \n low<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n \n low<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> <\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n <\/div>\n\n

\n Impact weight<\/span>\n \n <\/span><\/span><\/span><\/span><\/span><\/span>\n Very high <\/span><\/span><\/span><\/span><\/span><\/span>\n Very low <\/span>\n <\/p>\n \n <\/div>\n<\/section>\n\n<\/div>\n <\/div>\n\n<\/section>\n\n\n\n

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The Reality Check<\/p>\n \n

The Delphi Survey<\/h2>\n

The forecasts obtained through ridge regression were verified by employing the Delphi method: In a three-round assessment, an expert panel \u2013 comprising representatives from the largest industrial and commercial companies as well as independent business analysts \u2013 was surveyed individually, seperately, and anonymously:<\/p>\n