Skip to main content

Transition from Analog to Digital Terrestrial TV

The international migration from analog broadcasting to digital terrestrial television (DTT) marches on with a significant impact on the television set market, according to In-Stat.

Many nations have announced an analog broadcast shutoff date, but how they implement this change varies. Some countries are allocating spectrum so they can transmit analog and digital broadcasts concurrently for a number of years. Other countries are rolling out DTT regionally and shutting down analog service as the roll-out is completed.

"There are now four main standards for digital television (DTV) broadcasting, with some similarities between these standards in audio and video compression, but the demodulation schemes are all different," says Chris Kissel, In-Stat analyst.

"Consumers that wish to receive free, over-the-air broadcasts must buy either a digital television with a digital tuner, or must have a set top box or converter box to receive the signal."

Recent research by In-Stat found the following:

- DTV tuner integration is happening faster in North America and Japan than it is in Europe or other parts of Asia.

- In-Stat anticipates that flat-panel displays will overtake CRTs by 2007.

- However, only 11.6 percent of all respondents to an In-Stat U.S. consumer survey plan to buy a new DTV set within the next six months.

Popular posts from this blog

The AI Application Integration Challenge

Artificial intelligence (AI) has rapidly become the defining force in business technology development, but integrating AI into applications remains a formidable challenge. According to a recent Gartner survey, 77 percent of engineering leaders identify AI integration in apps as a major hurdle for their organizations. As demand for AI-powered solutions accelerates across every industry, understanding the tools, the barriers, and the opportunities is essential for business and technology leaders seeking to evolve. The Gartner survey highlights a key trend: while AI’s potential is widely recognized, the path to useful integration is anything but straightforward. IT leaders cite complexities in embedding AI models into existing software, managing data pipelines, ensuring security, and maintaining compliance as persistent obstacles. These challenges are compounded by a shortage of skilled AI engineers and the rapid evolution of AI technologies, which can outpace organizational readiness and...