2017 Ranking |
Company |
2017 Revenue (USD million) |
---|---|---|
1 |
Qualcomm |
17,082 |
2 |
Broadcom Ltd. |
16,176 |
3 |
Nvidia |
9,402 |
4 |
Media Tek |
7,838 |
5 |
Apple |
6,960 |
6 |
AMD |
5,329 |
7 |
HiSilicon |
4,715 |
8 |
Xinlinx |
2,475 |
9 |
Marvell |
2,394 |
10 |
Unigroup |
2,050 |
Source:IC Insights, III-IEK, organized by SIPO (July 2018)
Company |
2017 Revenue (NT$100 million) |
---|---|
Media Tek |
2,382 |
Novatek |
471 |
Phison |
419 |
Realtek |
417 |
Himax |
208 |
Silicon Motion |
159 |
GUC |
122 |
Focal Tech |
108 |
ESMT |
105 |
Sitronix |
94 |
Source:Companies’ Financial Statements, III-IEK, organized by SIPO (July 2018)
2017 Ranking |
Company |
2017 Revenue (USD million) |
---|---|---|
1 |
TSMC |
|
2 |
Global Foundries |
|
3 |
UMC |
|
4 |
SMIC |
|
5 |
Powerchip |
|
6 |
Huahong group |
|
7 |
Tower Jazz |
|
8 |
VIS |
|
9 |
Dongbu HiTek |
|
10 |
X-Fab |
Source:IC Insights, III-IEK, organized by SIPO (July 2018)
Company |
2017 Consolidated Revenue (NT$100 million) |
---|---|
TSMC |
9,774 |
UMS |
1,493 |
Powerchip |
463 |
VIS |
249 |
WIN Semiconductors |
171 |
Liteon-semi |
115 |
EPISIL |
53 |
AWSC |
17 |
Mosel |
16 |
Source:Companies’ Financial Statements, III-IEK, organized by SIPO (July 2018)
2017 Ranking |
Company |
2017 Revenue (USD million) |
---|---|---|
1 |
Samsung Electronics |
529 |
2 |
SK Hynix |
264 |
3 |
Micron Technology |
234 |
4 |
Toshiba |
97 |
5 |
Western Digital / San Disk |
78 |
6 |
Intel |
23 |
7 |
Nanya |
18 |
8 |
Winbond |
14 |
9 |
Macronix |
8 |
10 |
Cypress Semiconductor |
5 |
Source:IC Insights, III-IEK, organized by SIPO (July 2018)
Company |
2017 Consolidated Revenue (NT$100 million) |
---|---|
Nanya |
549 |
Winbond |
476 |
Macronix |
342 |
Source:Companies’ Financial Statements, III-IEK, organized by SIPO (July 2018)
2017 Ranking |
Company |
2017 Revenue (USD 100 million) |
---|---|---|
1 |
ASE |
50 |
2 |
Amkor |
42 |
3 |
JECT |
35 |
4 |
SPIL |
27 |
5 |
PTI |
20 |
6 |
TSHT |
10 |
7 |
TFME |
10 |
8 |
UTAC |
9 |
9 |
KYEC |
6 |
10 |
Chipbond |
6 |
Source:IC Insights, III-IEK, organized by SIPO (July 2018)
Company |
2017 Consolidated Revenue (NT$100 million) |
---|---|
ASE |
1,524 |
SPIL |
836 |
PTI |
596 |
KYEC |
197 |
Chipbond |
184 |
ChipMOS |
179 |
OSE |
139 |
Walton |
94 |
FATC |
79 |
Ardentec |
79 |
Source:Companies’ Financial Statements, III-IEK, organized by SIPO (July 2018)
Source:WSTS, ITRI-ISTI, organized by SIPO (August 2018)
2017 |
Output of Taiwan (US$100 Million) |
Global Output (US$100 Million) |
Taiwan’s Market Share (%) |
Taiwan’s Ranking |
Major Taiwanese Companies |
Leading Countries |
---|---|---|---|---|---|---|
Output Value of IC Industry Chain =A+B+C |
810 |
5,026 |
16.1% |
No.3 |
TSMC |
The U.S. and Korea |
A.IC Design |
203 |
976 |
20.8% |
No.2 |
Media Tek |
The U.S. |
B.IDM(include Memory) |
53 |
3,277 |
1.6% |
No.5 |
Nanva Technology |
The U.S., Korea, Japan and Europe |
C.IC Foundry |
397 |
547 |
72.5% |
No.1 |
TSMC |
Taiwan |
D.IC Packaging and Testing |
157 |
281 |
55.9% |
No.1 |
ASE |
Taiwan |
Output Value of IC products ( IC Brand)=A+B |
256 |
4,203 |
6.1% |
No.4 |
Media Tek |
The U.S., Korea, and Japan |
Source:WSTS, ITRI-ISTI, organized by SIPO (August 2018)
Source:TSIA, ITRI-ISTI, organized by SIPO (August 2018)
Source:TSIA, ITRI-ISTI, organized by SIPO (August 2018)
Source:TEEMA, ITRI-IEK, organized by SIPO (July 2018)
Accumulation of data:Integrating different seneing technologies and cooperating with relevant delvice designs in order to accumulate relevant physiological date and record living habits.
Integration of information:Using communication technologies to Link and integrate personal physiological information, past medical history. family medical history, genetic decryption, life style and other data into the platform system for storage, recording and tracking.
Application of information:Grasping analyzing, and interpreting data to identify relevant application and link to relevant healthcare applications.
Expansion of severices:Using artifical intellgence for literature learning, image interpretation, medical case analysis, and assisting medical staff as decision-making tools for disease diagnosis and treatment, in order to allow medical staff to focus more on professional input and develop more valuable services.
Source:ITRI-IEK, organized by SIPO (July 2018)
Source:Strategy Analytics, ITRI-IEK, organized by SIPO (July 2018)