NVIDIA's commanding lead in AI accelerators and data-center GPUs underpins trader consensus for it holding the top market-cap spot by September's end. Recent quarterly results showed $96.2 billion in revenue, up 106% year over year, fueled by hyperscaler spending on training and inference infrastructure that exceeds $700 billion annually. Its CUDA ecosystem and full-stack systems continue to outpace rivals, sustaining a roughly $300 billion edge over Apple as of mid-September. With only days remaining until resolution, realistic challenges include a sharp sector-wide correction or outsized positive catalysts for competitors such as Apple's AI device updates, though the narrow window limits the scope for meaningful shifts.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日NVIDIA 91.5%
アップル 8.2%
Alphabet <1%
Tesla <1%
$1,901,171 Vol.
$1,901,171 Vol.
2026/09/30
NVIDIA
91%
アップル
8%
Alphabet
<1%
Tesla
<1%
Saudi Aramco
<1%
Broadcom
<1%
マイクロソフト
<1%
Amazon
<1%
スペースX
<1%
NVIDIA 91.5%
アップル 8.2%
Alphabet <1%
Tesla <1%
$1,901,171 Vol.
$1,901,171 Vol.
2026/09/30
NVIDIA
$495,503 Vol.
91%
アップル
$311,566 Vol.
8%
Alphabet
$253,055 Vol.
<1%
Tesla
$150,978 Vol.
<1%
Saudi Aramco
$136,547 Vol.
<1%
Broadcom
$120,448 Vol.
<1%
マイクロソフト
$151,781 Vol.
<1%
Amazon
$152,889 Vol.
<1%
スペースX
$128,404 Vol.
<1%
This market will resolve to the largest company in the world by market cap on September 30, 2026, as of market close.
The resolution source for this market will be a consensus of credible reporting.NVIDIA's commanding lead in AI accelerators and data-center GPUs underpins trader consensus for it holding the top market-cap spot by September's end. Recent quarterly results showed $96.2 billion in revenue, up 106% year over year, fueled by hyperscaler spending on training and inference infrastructure that exceeds $700 billion annually. Its CUDA ecosystem and full-stack systems continue to outpace rivals, sustaining a roughly $300 billion edge over Apple as of mid-September. With only days remaining until resolution, realistic challenges include a sharp sector-wide correction or outsized positive catalysts for competitors such as Apple's AI device updates, though the narrow window limits the scope for meaningful shifts.
This market will resolve to the largest company in the world by market cap on September 30, 2026, as of market close.
The resolution source for this market will be a consensus of credible reporting.
The resolution source for this market will be a consensus of credible reporting.
マーケット開始日： Jul 29, 2026, 6:28 PM ET
音量
$1,901,171終了日
2026/09/30マーケット開始日
Jul 29, 2026, 6:28 PM ETリゾルバー
0x69c47De9D...This market will resolve to the largest company in the world by market cap on September 30, 2026, as of market close.
The resolution source for this market will be a consensus of credible reporting.NVIDIA's commanding lead in AI accelerators and data-center GPUs underpins trader consensus for it holding the top market-cap spot by September's end. Recent quarterly results showed $96.2 billion in revenue, up 106% year over year, fueled by hyperscaler spending on training and inference infrastructure that exceeds $700 billion annually. Its CUDA ecosystem and full-stack systems continue to outpace rivals, sustaining a roughly $300 billion edge over Apple as of mid-September. With only days remaining until resolution, realistic challenges include a sharp sector-wide correction or outsized positive catalysts for competitors such as Apple's AI device updates, though the narrow window limits the scope for meaningful shifts.
This market will resolve to the largest company in the world by market cap on September 30, 2026, as of market close.
The resolution source for this market will be a consensus of credible reporting.
The resolution source for this market will be a consensus of credible reporting.
音量
$1,901,171終了日
2026/09/30マーケット開始日
Jul 29, 2026, 6:28 PM ETリゾルバー
0x69c47De9D...NVIDIA's commanding lead in AI accelerators and data-center GPUs underpins trader consensus for it holding the top market-cap spot by September's end. Recent quarterly results showed $96.2 billion in revenue, up 106% year over year, fueled by hyperscaler spending on training and inference infrastructure that exceeds $700 billion annually. Its CUDA ecosystem and full-stack systems continue to outpace rivals, sustaining a roughly $300 billion edge over Apple as of mid-September. With only days remaining until resolution, realistic challenges include a sharp sector-wide correction or outsized positive catalysts for competitors such as Apple's AI device updates, though the narrow window limits the scope for meaningful shifts.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日
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