Skip to main content

Traditional Camera Makers Loosing Focus

Associated Press reports that they are some of the most legendary names in photography. Minolta developed the world's first successful auto-focus, single-lens reflex camera. Fuji invented 1600-speed film, once the industry's fastest. Nikon's fabled F-series made the 35 mm camera the picture taking workhorse for the past half-century.

Now, the companies share a more dubious distinction: abandoning part of the business that made them famous. Traditional camera makers have battled to adapt to the digital revolution for the past 10 years, but recent retreats by leading brands underline how the industry has turned upside down.

With interlopers like Sony, Panasonic and Samsung capitalizing on their high-tech know-how, traditional camera makers and their black scrolls of film may soon join 19th-century daguerreotypes as museum-shelf curios.

In just the past few years, digital cameras have catapulted from cutting-edge novelties to mainstream must-haves. But with the market poised to plateau, more players are chasing fewer opportunities, and the old guard is losing out.

Popular posts from this blog

Embodied AI Robots: Market Upside Trends

Embodied AI is shifting industrial robotics from precise to perceptive — from rigid automation to adaptive execution in messy, variable production environments. For manufacturers and logistics providers, this isn't just a technology upgrade; it's a structural change in how work gets organized and business value gets created. Industrial robots have long excelled in static workflows: automotive assembly, fixed production lines, repetitive tasks. Where variability or human interaction arose, they stalled or required prohibitive engineering. Embodied AI Market Development Embodied AI changes this by closing the "sim-to-real" gap. According to the latest worldwide market study by ABI Research, AI-augmented robots have reached genuine adaptive automation with tangible ROI for early adopters. The shift rests on robust algorithms — particularly Dynamic Policy Adjustment and robotics foundation models — that learn and adapt in real time rather than following hard-coded rules. ...