Stage 4: Bought the Sony FF (A7III) for a while, but decided to stay with APS-C. Stage 3: Moved to Sony APS-C due to the bigger sensor and better auto focus.
Stage 2: Moved to Panasonic GX85 & G85: loved the IS (amazing good) with V2 f2.8 zoom lenses. Stage 1: Started with Olympus mid-tier MFT: loved the size, features, weather seal, and prime lenses. I shoot both photos and videos (I also use a gimbal sometimes). I am a hobbyist, shooting mainly for travel/family/church/my son’s sports clubs/etc. Here is little bit of my transition history. Personally, I found Panasonic’s IS is amazing good (better than SONY APSC and FF, in my experiences) due to its smaller sensor. Sorry, I never use G9, but I believe it is an awesome camera body. Last week, I just helped a friend to get a used G85 package (it was an awesome deal). Personally, I think Panasonic MFT provides awesome values (specially combined with good used lenses) for its size/features. I can see wide-angle lens going bye bye, since cellphones can take over that task. The only advantage for cameras will be long & fast lens. In the future they can take like 10 pictures with 3 or 4 lens all at once, and then compute to stitch them together to reduce the noise, all in micro seconds. You only have so much fabrication capacity for each node of a given size, so even if a sensor is older or lower resolution, the cost is still going to be very close to your newest sensor. What's old is new again.Įdit: The sad thing is, unless manufacturers are sitting on a glut of inventory, they cannot even rely on the developing world to grow sales.
Hell, price won't even be as large a barrier as it is today because of the cellphone contract pricing model. Soon, the only people who will truly care about cameras are those who need reach with wide apertures (e.g., journalists), people who do large prints, or die hard hobbyists. None of this will matter in the near future as the era of smartphones with periscoping zooms, processors that are faster than Intel mobile chips (the A14 is going to be a monster) and deep learning AI is upon us.