集積回路研究を、競争でもっと面白く。Making IC research more fun through competition.
固体回路系トップ国際会議・論文誌（ISSCC・VLSI・JSSC・CICC・A-SSCC・ESSERC）の論文数をもとにA scoreboard where アメリカの企業・研究機関が競うCompanies & Institutes in USA competeスコアボード, based on papers at the top solid-state circuits venues (ISSCC, VLSI, JSSC, CICC, A-SSCC, ESSERC).
2022–2026 LIVE · Tier 1 ×1.0: ISSCC, VLSI, JSSC · Tier 2 ×0.5: CICC, A-SSCC, ESSERC
アメリカの企業・研究機関総合ランキングCompanies & Institutes in USA: overall ranking
Updated: 2026-10-25 · Latest: VLSI 2026 added
64
2026 reflected: ISSCC, VLSI, JSSC, CICC
Not yet reflected: A-SSCC, ESSERC（2022–2025を集計） (2022–2025 counted)
会議・論文誌別内訳Breakdown by venue
各会議・論文誌での順位・獲得ポイント（重み適用後）・論文数Rank, points (weighted) and papers per venue
| 順位Rank | 企業・研究機関Company / Institute | ISSCCTier 1 ×1.0 | VLSITier 1 ×1.0 | JSSCTier 1 ×1.0 | CICCTier 2 ×0.5 | A-SSCCTier 2 ×0.5 | ESSERCTier 2 ×0.5 | 合計Total |
|---|---|---|---|---|---|---|---|---|
| 1 | Intel | #125pt47本 | #125pt37本 | #125pt61本 | #112.5pt21本 | #112.5pt3本 | #112.5pt7本 | 112.5 |
| 2 | IBM | #218pt18本 | #218pt14本 | #315pt20本 | #29pt9本 | – | #29pt5本 | 69 |
| 3 | Qualcomm | #84pt7本 | #510pt7本 | #218pt24本 | #73pt1本 | #29pt2本 | #37.5pt3本 | 51.5 |
| 4 | NVIDIA | #92pt6本 | #315pt10本 | #412pt19本 | #37.5pt6本 | – | – | 36.5 |
| 5 | Analog Devices | #510pt9本 | #76pt4本 | #76pt10本 | #46pt5本 | – | #46pt2本 | 34 |
| 6 | Texas Instruments | #110pt4本 | #84pt3本 | #510pt16本 | #55pt4本 | #29pt2本 | #73pt1本 | 31 |
| 7 | Marvell | #315pt11本 | #412pt8本 | #92pt7本 | – | – | – | 29 |
| 8 | Meta | #130pt3本 | #68pt5本 | #92pt7本 | #73pt1本 | – | #46pt2本 | 19 |
| 9 | TSMC | #510pt9本 | #84pt3本 | #120pt6本 | – | #64pt1本 | – | 18 |
| 10 | Apple | #101pt5本 | #140pt1本 | #510pt16本 | #73pt1本 | – | #73pt1本 | 17 |
| 11 | Broadcom | #76pt8本 | – | #76pt10本 | #73pt1本 | – | – | 15 |
| 12 | Samsung | #140pt2本 | #84pt3本 | #92pt7本 | – | #64pt1本 | #73pt1本 | 13 |
| 13 | AMD | #412pt10本 | #110pt2本 | #250pt1本 | – | – | – | 12 |
| 13 | Alphacore (United States) | – | – | #250pt1本 | – | #29pt2本 | #73pt1本 | 12 |
| 15 | Ayar Labs (United States) | – | #110pt2本 | #140pt3本 | – | #29pt2本 | – | 9 |
| 16 | Hewlett Packard Enterprise (United States) | – | – | – | – | – | #46pt2本 | 6 |
| 17 | Bosch | – | – | #250pt1本 | – | #64pt1本 | – | 4 |
| 17 | #110pt4本 | #110pt2本 | #160pt2本 | #64pt2本 | – | – | 4 | |
| 19 | Boeing (United States) | – | – | – | – | – | #73pt1本 | 3 |
| 19 | Cadence | #210pt1本 | #140pt1本 | #250pt1本 | #73pt1本 | – | – | 3 |
| 19 | Chan Zuckerberg Initiative (United States) | #210pt1本 | – | #250pt1本 | #73pt1本 | – | – | 3 |
| 19 | Cisco Systems (United States) | #210pt1本 | – | #160pt2本 | #73pt1本 | – | – | 3 |
| 19 | CreoNex Systems (United States) | – | – | #250pt1本 | – | – | #73pt1本 | 3 |
| 19 | Hewlett-Packard (United States) | – | – | – | – | – | #73pt1本 | 3 |
| 19 | Lawrence Livermore National Laboratory | – | – | – | – | – | #73pt1本 | 3 |
| 19 | Lockheed Martin (United States) | – | – | – | #73pt1本 | – | – | 3 |
| 19 | Microsoft | #140pt2本 | – | #250pt1本 | #73pt1本 | – | – | 3 |
| 19 | Mitre (United States) | – | – | – | #73pt1本 | – | – | 3 |
| 19 | RTX (United States) | – | – | – | #73pt1本 | – | – | 3 |
| 19 | Renesas Electronics (United States) | #210pt1本 | – | #250pt1本 | #73pt1本 | – | – | 3 |
| 19 | United States Air Force Research Laboratory | – | – | #250pt1本 | #73pt1本 | – | – | 3 |
| 32 | Amazon | #140pt2本 | – | #130pt5本 | – | – | – | 0 |
| 32 | Analog Photonics (United States) | #210pt1本 | #140pt1本 | – | – | – | – | 0 |
| 32 | Applied Materials (United States) | – | #140pt1本 | #250pt1本 | – | – | – | 0 |
| 32 | Brookhaven National Laboratory | – | – | #250pt1本 | – | – | – | 0 |
| 32 | Ciena (United States) | #210pt1本 | – | – | – | – | – | 0 |
| 32 | Ferric (United States) | – | #140pt1本 | #250pt1本 | – | – | – | 0 |
| 32 | HRL Laboratories (United States) | – | – | #250pt1本 | – | – | – | 0 |
| 32 | Jet Propulsion Laboratory | – | – | #250pt1本 | – | – | – | 0 |
| 32 | Keysight Technologies (United States) | – | – | #160pt2本 | – | – | – | 0 |
| 32 | L3Harris (United States) | #210pt1本 | – | – | – | – | – | 0 |
| 32 | LG | – | #140pt1本 | – | – | – | – | 0 |
| 32 | Lawrence Berkeley National Laboratory | – | – | #160pt2本 | – | – | – | 0 |
| 32 | MIT Lincoln Laboratory | #140pt2本 | – | #250pt1本 | – | – | – | 0 |
| 32 | Massachusetts General Hospital | – | – | #250pt1本 | – | – | – | 0 |
| 32 | MaxLinear (United States) | #210pt1本 | – | #160pt2本 | – | – | – | 0 |
| 32 | Michigan Medicine | – | – | #250pt1本 | – | – | – | 0 |
| 32 | Micron | #140pt2本 | – | #250pt1本 | – | – | – | 0 |
| 32 | NHanced Semiconductors (United States) | – | #140pt1本 | – | – | – | – | 0 |
| 32 | NXP | #210pt1本 | – | #160pt2本 | – | – | – | 0 |
| 順位Rank | 企業・研究機関Company / Institute | ポイントPoints | 前回Prev |
|---|---|---|---|
| 1 | Intel | 112.5±0 | → |
| 2 | IBM | 69−3 | → |
| 3 | NVIDIA | 50+3 | → |
| 4 | Analog Devices | 37−2 | → |
| 5 | Texas Instruments | 33.5−2 | → |
| 6 | Broadcom | 32±0 | → |
| 7 | Marvell | 29+2 | → |
| 8 | Qualcomm | 23.5−2 | → |
| 9 | AMD | 23±0 | → |
| 10 | Samsung | 21±0 | → |
| 11 | Meta | 14−2 | → |
| 12 | Cadence | 11−2 | → |
| 13 | 10−2 | → | |
| 14 | Microsoft | 9±0 | → |
| 15 | Analog Photonics (United States) | 6−2 | → |
| 15 | Apple | 6±0 | ↑5 |
| 15 | Ayar Labs (United States) | 6−2 | → |
| 15 | OpenAI (United States) | 6+6 | NEW |
| 15 | Sandia National Laboratories | 6−2 | → |
| 15 | TSMC | 6−2 | → |
| 15 | Teradyne (United States) | 6−2 | → |
| 22 | Cisco Systems (United States) | 5±0 | ↓1 |
| 23 | Bosch | 0±0 | ↓1 |
| 23 | Brookhaven National Laboratory | 0±0 | ↓1 |
| 23 | HRL Laboratories (United States) | 0±0 | ↓1 |
| 23 | Lawrence Berkeley National Laboratory | 0±0 | ↓1 |
| 23 | MaxLinear (United States) | 0±0 | ↓1 |
| 23 | Micron | 0±0 | ↓1 |
| 23 | Qorvo (United States) | 0±0 | ↓1 |
| 23 | SK Group (United States) | 0±0 | ↓1 |
| 23 | Sekisui XenoTech (United States) | 0±0 | ↓1 |
| 23 | Synopsys | 0±0 | ↓1 |
| 23 | Tesla (United States) | 0±0 | ↓1 |
| 23 | Western Digital | 0±0 | ↓1 |
| 23 | Xilinx (United States) | 0±0 | ↓1 |
会議・論文誌別内訳Breakdown by venue
各会議・論文誌での順位・獲得ポイント（重み適用後）・論文数Rank, points (weighted) and papers per venue
| 順位Rank | 企業・研究機関Company / Institute | ISSCCTier 1 ×1.0 | VLSITier 1 ×1.0 | JSSCTier 1 ×1.0 | CICCTier 2 ×0.5 | A-SSCCTier 2 ×0.5 | ESSERCTier 2 ×0.5 | 合計Total |
|---|---|---|---|---|---|---|---|---|
| 1 | Intel | #125pt30本 | #125pt30本 | #125pt38本 | #112.5pt14本 | #112.5pt2本 | #112.5pt3本 | 112.5 |
| 2 | IBM | #218pt10本 | #315pt8本 | #218pt9本 | #29pt5本 | – | #29pt2本 | 69 |
| 3 | NVIDIA | #68pt6本 | #218pt10本 | #218pt9本 | #46pt2本 | – | – | 50 |
| 4 | Analog Devices | #68pt6本 | #76pt1本 | #68pt5本 | #37.5pt3本 | – | #37.5pt1本 | 37 |
| 5 | Texas Instruments | – | #76pt1本 | #510pt6本 | #55pt1本 | #112.5pt2本 | – | 33.5 |
| 6 | Broadcom | #315pt8本 | – | #412pt7本 | #55pt1本 | – | – | 32 |
| 7 | Marvell | #315pt8本 | #412pt4本 | #92pt3本 | – | – | – | 29 |
| 8 | Qualcomm | #84pt2本 | #76pt1本 | #76pt4本 | – | – | #37.5pt1本 | 23.5 |
| 9 | AMD | #315pt8本 | #68pt2本 | #140pt1本 | – | – | – | 23 |
| 10 | Samsung | #84pt2本 | – | #92pt3本 | – | #37.5pt1本 | #37.5pt1本 | 21 |
| 11 | Meta | #84pt2本 | #510pt3本 | – | – | – | – | 14 |
| 12 | Cadence | #130pt1本 | #76pt1本 | – | #55pt1本 | – | – | 11 |
| 13 | #84pt2本 | #76pt1本 | #110pt2本 | – | – | – | 10 | |
| 14 | Microsoft | #84pt2本 | – | – | #55pt1本 | – | – | 9 |
| 15 | Analog Photonics (United States) | – | #76pt1本 | – | – | – | – | 6 |
| 15 | Apple | #130pt1本 | – | #76pt4本 | – | – | – | 6 |
| 15 | Ayar Labs (United States) | – | #76pt1本 | – | – | – | – | 6 |
| 15 | OpenAI (United States) | – | #76pt1本 | – | – | – | – | 6 |
| 15 | Sandia National Laboratories | #130pt1本 | #76pt1本 | #140pt1本 | – | – | – | 6 |
| 15 | TSMC | – | #76pt1本 | – | – | – | – | 6 |
| 15 | Teradyne (United States) | – | #76pt1本 | – | – | – | – | 6 |
| 22 | Cisco Systems (United States) | #130pt1本 | – | – | #55pt1本 | – | – | 5 |
| 23 | Bosch | – | – | #140pt1本 | – | – | – | 0 |
| 23 | Brookhaven National Laboratory | – | – | #140pt1本 | – | – | – | 0 |
| 23 | HRL Laboratories (United States) | – | – | #140pt1本 | – | – | – | 0 |
| 23 | Lawrence Berkeley National Laboratory | – | – | #140pt1本 | – | – | – | 0 |
| 23 | MaxLinear (United States) | – | – | #140pt1本 | – | – | – | 0 |
| 23 | Micron | #130pt1本 | – | #140pt1本 | – | – | – | 0 |
| 23 | Qorvo (United States) | – | – | #140pt1本 | – | – | – | 0 |
| 23 | SK Group (United States) | – | – | #110pt2本 | – | – | – | 0 |
| 23 | Sekisui XenoTech (United States) | #130pt1本 | – | – | – | – | – | 0 |
| 23 | Synopsys | #130pt1本 | – | – | – | – | – | 0 |
| 23 | Tesla (United States) | #130pt1本 | – | – | – | – | – | 0 |
| 23 | Western Digital | #130pt1本 | – | #140pt1本 | – | – | – | 0 |
| 23 | Xilinx (United States) | – | – | #110pt2本 | – | – | – | 0 |
会議・論文誌別内訳Breakdown by venue
各会議・論文誌での順位・獲得ポイント（重み適用後）・論文数Rank, points (weighted) and papers per venue
| 順位Rank | 企業・研究機関Company / Institute | ISSCCTier 1 ×1.0 | VLSITier 1 ×1.0 | JSSCTier 1 ×1.0 | CICCTier 2 ×0.5 | A-SSCCTier 2 ×0.5 | ESSERCTier 2 ×0.5 | 合計Total |
|---|---|---|---|---|---|---|---|---|
| 1 | Intel | #125pt32.39本 | #125pt31.16本 | #125pt39.94本 | #112.5pt14.61本 | #112.5pt2.10本 | #112.5pt4.42本 | 112.5 |
| 2 | IBM | #218pt11.91本 | #315pt8.07本 | #218pt9.36本 | #29pt5.07本 | – | #29pt2.89本 | 69 |
| 3 | NVIDIA | #68pt5.81本 | #218pt10.00本 | #315pt7.14本 | #46pt2.72本 | – | – | 47 |
| 4 | Analog Devices | #76pt5.29本 | #68pt2.46本 | #76pt3.31本 | #37.5pt3.24本 | – | #46pt0.73本 | 33.5 |
| 5 | Broadcom | #315pt7.68本 | – | #412pt5.28本 | #64pt1.00本 | – | – | 31 |
| 6 | Qualcomm | #84pt2.18本 | #76pt2.17本 | #68pt4.26本 | #140pt0.25本 | #64pt0.22本 | #64pt0.62本 | 26 |
| 6 | Texas Instruments | #210pt0.84本 | #101pt1.31本 | #510pt5.05本 | #55pt1.43本 | #29pt1.50本 | #91pt0.22本 | 26 |
| 8 | Marvell | #510pt5.93本 | #412pt4.53本 | #92pt2.42本 | – | – | – | 24 |
| 9 | Samsung | #120pt1.38本 | #180pt0.34本 | #101pt2.20本 | – | #46pt0.34本 | #37.5pt0.90本 | 14.5 |
| 10 | Meta | #130pt1.38本 | #510pt2.64本 | #140pt0.98本 | #170pt0.09本 | – | #73pt0.53本 | 13 |
| 11 | AMD | #412pt6.97本 | #110pt1.11本 | #400pt0.08本 | – | – | – | 12 |
| 12 | Ayar Labs (United States) | – | #84pt1.51本 | #270pt0.21本 | – | #37.5pt0.54本 | – | 11.5 |
| 13 | Alphacore (United States) | – | – | #280pt0.17本 | – | #55pt0.33本 | #82pt0.40本 | 7 |
| 14 | Hewlett Packard Enterprise (United States) | – | – | – | – | – | #55pt0.71本 | 5 |
| 15 | Apple | #140pt1.32本 | #240pt0.12本 | #84pt2.50本 | #120pt0.33本 | – | #110pt0.17本 | 4 |
| 15 | Cadence | #170pt1.00本 | #220pt0.20本 | #390pt0.09本 | #64pt1.00本 | – | – | 4 |
| 15 | Cisco Systems (United States) | #200pt0.86本 | – | #260pt0.27本 | #64pt1.00本 | – | – | 4 |
| 15 | #92pt1.96本 | #92pt1.33本 | #110pt1.26本 | #110pt0.36本 | – | – | 4 | |
| 19 | Bosch | – | – | #430pt0.06本 | – | #73pt0.20本 | – | 3 |
| 20 | TSMC | #230pt0.71本 | #160pt0.61本 | #170pt0.87本 | – | #82pt0.09本 | – | 2 |
| 21 | Microsoft | #101pt1.86本 | – | #400pt0.08本 | #100.5pt0.50本 | – | – | 1.5 |
| 22 | RTX (United States) | – | – | – | #91pt0.67本 | – | – | 1 |
| 23 | Hewlett-Packard (United States) | – | – | – | – | – | #100.5pt0.21本 | 0.5 |
| 24 | Amazon | #300pt0.16本 | – | #200pt0.51本 | – | – | – | 0 |
| 24 | Analog Photonics (United States) | #280pt0.21本 | #120pt1.00本 | – | – | – | – | 0 |
| 24 | Applied Materials (United States) | – | #190pt0.31本 | #250pt0.31本 | – | – | – | 0 |
| 24 | Boeing (United States) | – | – | – | – | – | #110pt0.17本 | 0 |
| 24 | Brookhaven National Laboratory | – | – | #240pt0.33本 | – | – | – | 0 |
| 24 | Chan Zuckerberg Initiative (United States) | #330pt0.08本 | – | #280pt0.17本 | #180pt0.07本 | – | – | 0 |
| 24 | Ciena (United States) | #340pt0.07本 | – | – | – | – | – | 0 |
| 24 | CreoNex Systems (United States) | – | – | #310pt0.14本 | – | – | #130pt0.12本 | 0 |
| 24 | Ferric (United States) | – | #200pt0.28本 | #310pt0.14本 | – | – | – | 0 |
| 24 | HRL Laboratories (United States) | – | – | #210pt0.50本 | – | – | – | 0 |
| 24 | Jet Propulsion Laboratory | – | – | #370pt0.10本 | – | – | – | 0 |
| 24 | Keysight Technologies (United States) | – | – | #210pt0.50本 | – | – | – | 0 |
| 24 | L3Harris (United States) | #310pt0.11本 | – | – | – | – | – | 0 |
| 24 | LG | – | #250pt0.07本 | – | – | – | – | 0 |
| 24 | Lawrence Berkeley National Laboratory | – | – | #350pt0.12本 | – | – | – | 0 |
| 24 | Lawrence Livermore National Laboratory | – | – | – | – | – | #140pt0.07本 | 0 |
| 24 | Lockheed Martin (United States) | – | – | – | #150pt0.20本 | – | – | 0 |
| 24 | MIT Lincoln Laboratory | #220pt0.74本 | – | #370pt0.10本 | – | – | – | 0 |
| 24 | Massachusetts General Hospital | – | – | #360pt0.11本 | – | – | – | 0 |
| 24 | MaxLinear (United States) | #260pt0.50本 | – | #180pt0.75本 | – | – | – | 0 |
| 24 | Michigan Medicine | – | – | #440pt0.03本 | – | – | – | 0 |
| 24 | Micron | #110pt1.56本 | – | #420pt0.06本 | – | – | – | 0 |
| 24 | Mitre (United States) | – | – | – | #120pt0.33本 | – | – | 0 |
| 24 | NHanced Semiconductors (United States) | – | #260pt0.06本 | – | – | – | – | 0 |
| 24 | NXP | #290pt0.20本 | – | #230pt0.45本 | – | – | – | 0 |
| 24 | OmniVision Technologies (United States) | #250pt0.62本 | – | – | – | – | – | 0 |
| 24 | OpenAI (United States) | – | #120pt1.00本 | – | – | – | – | 0 |
会議・論文誌ごとの順位をF1方式でポイント化し、Tierの重みを掛けて合計したランキングです。Venue ranks are converted to F1-style points, weighted by tier, and summed. 「前回」は VLSI 2026 反映前との比較です。“Prev” compares with the ranking before VLSI 2026 was added. 集計ルールMethodology