Most Powerful Logo Survey - GraphicSprings

Designing visually compelling logos is an art form that here at GraphicSprings we’ve refined to a delicate science. GraphicSprings is a logo design software that is best known for its logo generator application and bespoke logo design service. Whether you are looking for a photography logo, real estate logo, construction logo, or any other branding you can find a suitable design. We’re fascinated by the impact well designed logos have on a brand’s success. To find out, how effectively logos represent companies, we undertook this study addressing the question: Which are the most powerful logos of the world?

For the analysis, we did a worldwide visually aided poll regarding the recognition of logos. We showed the brand logo of the 200 most successful companies on earth (in terms of sales) to participants and let them choose between five possible answers. Afterwards, we requested them to describe, what these companies do. The main goal was to see, whether the participants were able to recognize the logo and could, at the same time, associate it correctly with the products or the services the company is offering.

For the study, we asked 24,000 people from all around world, among the participants were 8,000 from the US, 8,000 from European Union and 8,000 from Asia (equally from China, South Korea and Japan). In order to detect possible differences between the generations the participants of each continent were split equally into Baby Boomers, Generation X, Xennials and Millennials.

Simplicity, elegance and strength – these are the defining factors of the highest scoring logos in this ranking.” Said Evan Fraser, Marketing at GraphicSprings. “Logos with these attributes are effective not only in being memorable, but they also tell us a story about what the company does, who they do it for and how well they do it.”

Note: To see the full table make sure you are viewing 1280 pixels or higher.

Legend
Icon	Meaning
Y	Millenials
X/Y	Xennials
X	Generation X
B	Baby Boomers
	Sales
	Profit
	Market Value
	Total (average)

				US					EU					Asia					All
Company				Y	X/Y	X	B		Y	X/Y	X	B		Y	X/Y	X	B
#1	41.5	6.5	182.9	100	100	100	100	100.0	100	100	100	100	100.0	100	100	100	100	100.0	100.0
#2	151.8	4.6	44.7	100	100	100	100	100.0	100	100	100	100	100.0	100	100	90	100	97.5	99.2
#3	69.2	-0.393	40.4	100	100	100	100	100.0	100	100	100	100	100.0	95	100	100	95	97.5	99.2
#4	217.5	45.2	752	100	100	100	100	100.0	100	100	100	100	100.0	100	100	95	90	96.3	98.8
#5	54.9	9	178	100	100	100	100	100.0	100	100	100	100	100.0	100	100	90	95	96.3	98.8
#6	249.9	17.1	171.9	95	100	100	100	98.8	100	100	95	100	98.8	100	95	95	100	97.5	98.3
#7	104.2	7.6	57.7	100	100	100	100	100.0	100	100	100	100	100.0	95	100	90	95	95.0	98.3
#8	62.8	6.3	159.4	100	100	100	100	100.0	100	100	95	100	98.8	100	100	95	90	96.3	98.3
#9	240.3	5.7	72.9	95	95	100	100	97.5	100	100	100	100	100.0	95	90	95	90	92.5	96.7
#10	127.9	3.9	51.4	90	100	100	100	97.5	95	100	90	100	96.3	100	95	95	90	95.0	96.3
#11	234.8	4.7	228.8	80	100	100	90	92.5	85	100	95	100	95.0	90	90	95	95	92.5	93.3
#12	174	19.3	254.3	90	100	85	80	88.8	90	95	90	90	91.3	100	100	100	95	98.8	92.9
#13	136	2.4	427	100	100	100	100	100.0	100	100	100	95	98.8	75	70	70	75	72.5	90.4
#14	105.9	4.5	38.4	85	100	90	95	92.5	80	90	95	80	86.3	85	95	100	90	92.5	90.4
#15	51.8	5	94.4	70	85	95	90	85.0	100	100	100	100	100.0	80	75	85	100	85.0	90.0
#16	197.5	7.8	343.2	100	100	100	100	100.0	90	100	95	90	93.8	70	75	85	70	75.0	89.6
#17	85.3	16.8	507.5	75	90	95	95	88.8	85	100	90	95	92.5	90	90	80	90	87.5	89.6
#18	80.7	4.7	34.2	95	90	90	90	91.3	85	90	90	85	87.5	90	90	85	90	88.8	89.2
#19	90.8	8.7	229.5	70	85	85	90	82.5	85	100	95	100	95.0	80	75	85	90	82.5	86.7
#20	166.4	9.4	50.8	85	90	100	100	93.8	70	65	60	80	68.8	70	65	60	60	63.8	75.4
#21	51.3	9.7	219.3	65	45	75	60	61.3	60	95	80	95	82.5	75	60	60	75	67.5	70.4
#22	66.6	1.9	26.2	35	55	50	55	48.8	50	50	80	70	62.5	95	80	90	90	88.8	66.7
#23	43.7	2	42.7	55	65	80	75	68.8	75	80	80	90	81.3	45	50	40	40	43.8	64.6
#24	80.9	3	80	90	100	95	90	93.8	90	95	100	90	93.8	5	5	5	5	5.0	64.2
#25	48.7	2.5	29.4	75	90	100	90	88.8	70	56	60	65	62.8	45	40	35	35	38.8	63.4
#26	62.1	2.5	162.6	50	45	55	45	48.8	60	50	75	55	60.0	90	75	75	80	80.0	62.9
#27	59.4	10.3	170.4	70	85	80	70	76.3	60	60	65	50	58.8	45	50	50	55	50.0	61.7
#28	57.6	1.9	52.3	90	95	100	90	93.8	60	45	65	55	56.3	40	30	35	30	33.8	61.3
#29	79.9	11.9	162.4	60	80	100	100	85.0	25	40	90	70	56.3	30	40	40	45	38.8	60.0
#30	42.6	0.608	7.7	55	60	20	15	37.5	60	65	50	30	51.3	95	90	90	85	90.0	59.6
#31	85.8	1.8	25.6	35	70	80	45	57.5	30	35	75	45	46.3	80	80	65	70	73.8	59.2
#32	169.5	9.4	76.1	60	70	75	70	68.8	80	75	70	85	77.5	15	20	20	25	20.0	55.4
#33	45.4	2.4	12.6	75	60	60	75	67.5	30	45	25	15	28.8	70	75	70	65	70.0	55.4
#34	183.8	0.115	114.7	30	90	95	90	76.3	70	65	90	65	72.5	15	15	10	25	16.3	55.0
#35	84	14.7	164.3	85	100	90	100	93.8	50	45	65	35	48.8	25	30	20	15	22.5	55.0
#36	94.6	4.9	108.8	75	95	90	90	87.5	35	30	30	30	31.3	45	30	30	25	32.5	50.4
#37	63.7	4.5	91	20	40	40	50	37.5	70	80	85	80	78.8	45	30	30	35	35.0	50.4
#38	485.3	13.6	221.1	100	100	95	100	98.8	30	20	30	35	28.8	10	15	20	25	17.5	48.3
#39	41.7	1.2	12.5	40	25	25	60	37.5	5	20	50	45	30.0	65	80	80	85	77.5	48.3
#40	52.8	7.1	203.1	40	55	90	90	68.8	10	35	50	65	40.0	10	15	10	40	18.8	42.5
#41	45.6	1.2	213.1	100	90	100	95	96.3	5	5	15	15	10.0	35	15	5	10	16.3	40.8
#42	102.5	24.2	306.6	85	100	90	100	93.8	10	5	10	15	10.0	20	5	15	20	15.0	39.6
#43	73.7	1.1	59.5	10	10	35	45	25.0	50	55	80	80	66.3	15	40	15	35	26.3	39.2
#44	59.8	1.9	16.9	5	5	5	5	5.0	55	75	80	65	68.8	45	40	40	45	42.5	38.8
#45	48.6	9.8	165.1	35	55	55	50	48.8	10	55	45	10	30.0	25	55	40	30	37.5	38.8
#46	71.9	16.4	338.6	75	90	100	95	90.0	10	15	15	15	13.8	5	15	15	10	11.3	38.3
#47	60.8	-9.3	67	5	0	0	0	1.3	80	85	80	75	80.0	35	30	30	35	32.5	37.9
#48	47.2	-3.8	8.3	15				3.8	10	45	50	55	40.0	60	70	70	75	68.8	37.5
#49	87.1	0.825	16.6	5	0	0	0	1.3	50	90	75	80	73.8	35	40	30	30	33.8	36.3
#50	80.4	8.7	193.5	95	100	100	100	98.8	5	5	5	5	5.0	5	0	0	5	2.5	35.4
#51	163.8	13	249.3	90	100	100	100	97.5	5	0	0	5	2.5	5	5	5	5	5.0	35.0
#52	56.7	3.8	24.6	5	0	5	10	5.0	50	65	80	60	63.8	30	30	40	45	36.3	35.0
#53	94.6	8	176.7	100	100	100	100	100.0	0	0	5	0	1.3	0	5	0	0	1.3	34.2
#54	126	13.1	198.4	95	90	100	100	96.3	5	0	5	5	3.8	5	0	0	0	1.3	33.8
#55	119.7	10	261.2	65	70	90	85	77.5	5	10	15	15	11.3	5	5	25	15	12.5	33.8
#56	60.5	3.4	91.3	90	85	90	100	91.3	5	5	10	5	6.3	0	5	0	0	1.3	32.9
#57	57.6	2.6	55.9	5	5	5	10	6.3	80	95	85	90	87.5	5	5	5	5	5.0	32.9
#58	57	-0.164	34.7	5	15	10	10	10.0	10	10	15	15	12.5	60	90	90	65	76.3	32.9
#59	92.2	16.6	231.9	90	95	100	90	93.8	5	0	5	0	2.5	0	0	0	5	1.3	32.5
#60	121.2	2.4	74.9	90	100	100	95	96.3	0	0	0	0	0.0	0	0	0	0	0.0	32.1
#61	110.5	-0.497	206.1	80	80	85	100	86.3	0	0	5	5	2.5	0	5	15	5	6.3	31.7
#62	177.5	5.3	79.8	95	90	100	90	93.8	0	0	0	0	0.0	0	0	0	0	0.0	31.3
#63	69.5	2.7	29.4	85	100	100	90	93.8	0	0	0	0	0.0	0	0	0	0	0.0	31.3
#64	97.6	21.9	274.4	90	85	90	75	85.0	0	5	0	0	1.3	0	0	0	0	0.0	28.8
#65	44.3	-1.9	34	25	25	15	25	22.5	65	60	45	75	61.3	5	0	5	0	2.5	28.8
#66	65	3.1	71.1	75	90	90	85	85.0	0	0	0	0	0.0	0	0	0	0	0.0	28.3
#67	44.9	3.1	42.7	20	15	25	15	18.8	30	45	10	25	27.5	35	40	45	15	33.8	26.7
#68	88.4	6.4	109.8	5	15	30	45	23.8	20	20	45	80	41.3	15	15	15	10	13.8	26.3
#69	49.9	3.8	78.3	20	80	80	90	67.5	0	5	5	25	8.8	0	5	0	5	2.5	26.3
#70	48.3	6.9	89.4	10	5	25	20	15.0	65	50	55	75	61.3	5	0	5	0	2.5	26.3
#71	48.1	4.3	77	35	60	75	90	65.0	5	10	10	5	7.5	5	5	10	5	6.3	26.3
#72	91.4	12.1	51.8	0	5	5	0	2.5	35	45	80	65	56.3	15	15	20	15	16.3	25.0
#73	61.9	-3.7	13.5	45	60	75	80	65.0	5	10	5	0	5.0	5	5	5	5	5.0	25.0
#74	184.9	7.2	160.2	55	80	75	80	72.5	0	0	0	0	0.0	0	0	0	0	0.0	24.2
#75	82.1	8.3	78.6	10	5	5	25	11.3	15	25	15	25	20.0	45	40	45	35	41.3	24.2
#76	47.7	0.066	10.2	10	5	20	15	12.5	35	35	20	15	26.3	35	35	55	10	33.8	24.2
#77	132.2	6.2	60.8	10	40	20	30	25.0	30	30	45	50	38.8	5	5	5	15	7.5	23.8
#78	65.2	9.5	228.1	30	25	15	20	22.5	25	20	25	20	22.5	20	25	35	15	23.8	22.9
#79	128.1	6.2	128.1	5	0	0	0	1.3	50	70	70	75	66.3	0	0	0	0	0.0	22.5
#80	115.7	7.6	83.7	5	5	5	10	6.3	45	50	60	55	52.5	5	10	10	5	7.5	22.1
#81	222.9	24.1	409.9	15	30	70	85	50.0	5	5	15	5	7.5	5	0	0	5	2.5	20.0
#82	58.3	5.7	143.9	10	25	20	15	17.5	20	20	35	25	25.0	15	15	25	15	17.5	20.0
#83	153.7	-0.453	57.3	5	5	25	24	14.8	5	30	45	45	31.3	5	25	10	10	12.5	19.5
#84	255.7	7	105.1	4	2	2	3	2.8	5	4	8	5	5.5	45	40	55	60	50.0	19.4
#85	48.5	6.7	193.2	5	5	25	5	10.0	30	40	50	45	41.3	5	0	5	10	5.0	18.8
#86	45.3	0.552	40.4	15	0	5	5	6.3	65	50	45	30	47.5	5	0	0	5	2.5	18.8
#87	108.3	12.3	2.8	15	45	70	90	55.0	0	0	0	0	0.0	0	0	0	0	0.0	18.3
#88	69.8	7.8	1.5	25	60	65	70	55.0	0	0	0	0	0.0	0	0	0	0	0.0	18.3
#89	50.2	1	6.1	5	5	5	5	5.0	25	10	5	10	12.5	15	30	35	65	36.3	17.9
#90	41.5	2.9	32.6	40	55	50	65	52.5					0.0					0.0	17.5
#91	64.7	0.8	57.2	25	55	60	65	51.3	0	0	0	0	0.0	0	0	0	0	0.0	17.1
#92	135.2	4.6	54.4	0	5	0	10	3.8	0	5	5	5	3.8	35	50	50	30	41.3	16.3
#93	53.6	5.1	57.9	10	5	5	5	6.3	35	40	35	50	40.0	5	0	0	5	2.5	16.3
#94	44	1.9	13.5	25	10	0	5	10.0	15	20	50	45	32.5	10	0	5	5	5.0	15.8
#95	116.1	4.2	89	40	55	40	45	45.0	0	0	0	0	0.0	0	0	0	0	0.0	15.0
#96	52.4	-0.849	60.1	5	25	55	80	41.3	0	5	5	5	3.8	0	0	0	0	0.0	15.0
#97	41.2	1.7	24.9	0	5	10	5	5.0	15	5	35	20	18.8	30	15	20	20	21.3	15.0
#98	127.2	1.4	26	40	35	50	50	43.8	0	0	0	0	0.0	0	0	0	0	0.0	14.6
#99	71	-0.14	10.6	0	0	0	0	0.0	0	0	0	0	0.0	35	45	45	50	43.8	14.6
#100	63.2	2.3	45.1	15	45	55	55	42.5	0	0	0	0	0.0	0	0	0	0	0.0	14.2
#101	56.3	4.3	45.6	15	20	50	55	35.0	0	0	5	5	2.5	0	0	5	5	2.5	13.3
#102	41.1	0.344	25.7	5	5	25	45	20.0	5	5	5	55	17.5	5	0	0	5	2.5	13.3
#103	75.7	2.3	29.4	35	50	30	35	37.5	0	0	0	0	0.0	0	0	0	0	0.0	12.5
#104	100.5	3.4	39.9	25	30	30	55	35.0	0	0	0	0	0.0	0	0	0	0	0.0	11.7
#105	122.8	2	15.5	5	15	15	20	13.8	10	10	10	15	11.3	5	5	15	10	8.8	11.3
#106	53.9	0.894	37	5	5	5	5	5.0	5	0	5	5	3.8	35	25	15	20	23.8	10.8
#107	115.3	1.9	27.3	20	35	30	35	30.0	0	0	0	0	0.0	0	0	0	0	0.0	10.0
#108	85.2	2.5	44	25	20	30	45	30.0	0	0	0	0	0.0	0	0	0	0	0.0	10.0
#109	54.4	0.594	30.4	15	30	30	45	30.0	0	0	0	0	0.0	0	0	0	0	0.0	10.0
#110	40.6	0.424	2.2	0	0	0	0	0.0	5	0	15	5	6.3	25	35	15	20	23.8	10.0
#111	196.5	2	30.5	15	10	45	35	26.3	0	5	5	0	2.5	0	0	0	0	0.0	9.6
#112	151.4	42	229.8	0	0	0	0	0.0	0	0	5	0	5.0	25	20	15	25	21.3	8.8
#113	93.2	2.1	26.5	0	0	0	0	0.0	0	0	0	0	0.0	15	25	15	45	25.0	8.3
#114	89.9	19.5	579.5	30	5	10	10	13.8	10	15	10	5	10.0	0	0	0	5	1.3	8.3
#115	63.4	2.9	41	0	0	0	0	0.0	25	25	25	25	25.0	0	0	0	0	0.0	8.3
#116	48.2	-6.3	10.3	5	0	0	5	2.5	5	10	30	35	20.0	0	5	5	0	2.5	8.3
#117	41.4	0.984	16.1	0	10	0	0	2.5	0	0	0	5	1.3	35	20	10	15	20.0	7.9
#118	214.8	1.2	204.5	0	0	0	0	0.0	0	0	5	0	1.3	25	15	20	20	20.0	7.1
#119	74.7	8.4	80.5	5	5	0	5	3.8		15	15	35	16.3	5	0	0	0	1.3	7.1
#120	44.3	0.732	7	5	0	0	0	1.3	0	0	0	0	0.0	15	10	30	25	20.0	7.1
#121	43.6	3.6	32.1	0	5	0	15	5.0	5	5	15	30	13.8	0	0	5	5	2.5	7.1
#122	112.7	4.8	43.5	0	0	0	0	0.0	0	0	0	0	0.0	20	25	25	10	20.0	6.7
#123	78.4	0.232	19.2	0	0	0	0	0.0	15	15	25	15	17.5	5	5	0	0	2.5	6.7
#124	41.3	0.102	33.8	0	0	0	5	1.3	0	0	0	5	1.3	15	10	25	20	17.5	6.7
#125	41.1	2.2	33.6	0	0	0	15	3.8	5	0	10	10	6.3	15	10	5	10	10.0	6.7
#126	148.3	1.3	19	0	15	25	15	13.8	0	5	10	5	5.0	0	0	0	0	0.0	6.3
#127	90.5	2.3	23.7	5	0	0	5	2.5	5	5	15	35	15.0	0	0	5	0	1.3	6.3
#128	56	1.2	26.4	15	15	25	20	18.8	0	0	0	0	0.0	0	0	0	0	0.0	6.3
#129	42.6	2.8	43.6	0	0	5	5	2.5	10	15	10	25	15.0	0	5	0	0	1.3	6.3
#130	42.7	0.743	10.6	5	5	5	10	6.3	5	10	10	10	8.8	0	5	5	0	2.5	5.8
#131	41.6	0.477	20.2	0	0	10	0	2.5	0	0	5	0	1.3	5	15	10	25	13.8	5.8
#132	106.8	16.4	225.3	0	0	0	0	0.0	0	0	0	0	0.0	15	15	20	15	16.3	5.4
#133	48.8	3.2	30.4	10	10	10	5	8.8	5	0	5	5	3.8	5	5	0	5	3.8	5.4
#134	43.2	5.1	68.3	0	0	5	0	1.3	0	0	0	0	0.0	20	15	10	15	15.0	5.4
#135	59.8	-9.3	16.9	5	5	5	5	5.0	0	5	5	5	3.8	5	5	5	5	5.0	4.6
#136	56.8	1.8	25.1	0	5	5	0	2.5	0	0	5	5	2.5	5	10	10	5	7.5	4.2
#137	41.8	4.3	71.2	0	0	0	0	0.0	0	5	0	0	1.3	10	10	15	10	11.3	4.2
#138	106.6	9.5	100.8	0	0	0	0	0.0	0	0	0	0	0.0	5	20	10	10	11.3	3.8
#139	67.3	3.2	40	5	5	0	5	3.8	5	5	5	10	6.3	0	0	0	5	1.3	3.8
#140	53	2.7	40.4	0	0	5	0	1.3	0	0	0	0	0.0	10	15	5	10	10.0	3.8
#141	46.5	-0.012	1.8	5	5	10	5	6.3	0	5	10	0	3.8		0	0	5	1.3	3.8
#142	44.5	9.4	66.4	0	0	0	0	0.0	0	0	5	0	1.3	15	5	10	10	10.0	3.8
#143	105	7.4	92.2	0	0	0	0	0.0	0	0	0	0	0.0	5	10	10	15	10.0	3.3
#144	96.9	2.6	53.7	0	0	0	0	0.0	15	10	5	10	10.0	0	0	0	0	0.0	3.3
#145	95.4	1.9	29.6	0	0	0	0	0.0	0	0	0		0.0	10	10	10	10	10.0	3.3
#146	73.7	-0.459	34.8	0	5	0	0	1.3	5	5	10	10	7.5	0	5	0	0	1.3	3.3
#147	63.5	0.429	10.7	0	0	0	0	0.0	0	0	0	0	0.0	10	10	10	10	10.0	3.3
#148	62.4	1.3	25.6	5	5	10	5	6.3	0	0	5	5	2.5	0	0	5	0	1.3	3.3
#149	57.4	5	90.6	5	5	5	10	6.3	0	5	5	0	2.5	0	0	5	0	1.3	3.3
#150	53.1	1	28	5	5	5	5	5.0	0	0	5	5	2.5	0	0	5	5	2.5	3.3
#151	40.6	0.558	12.2	0	5	10	15	7.5	0	0	0	10	2.5	0	0	0	0	0.0	3.3
#152	45.8	1.1	19.2	5	0	0	0	1.3	0	0	0	0	0.0	5	5	10	10	7.5	2.9
#153	44.3	8.1	45.1	0	0	0	5	1.3	0	0	0	0	0.0	5	10	5	10	7.5	2.9
#154	43.2	1.5	28	0	0	0	0	0.0	5	5	10	5	6.3	0	5	0	5	2.5	2.9
#155	40.7	-2.5	0.292	0	0	0	10	2.5	5	5	0	10	5.0	0	0	0	5	1.3	2.9
#156	113.1	24.9	141.3	0	0	0	0	0.0	0	0	0	0	0.0	5	5	10	10	7.5	2.5
#157	74.9	2.7	62.4	0	5	0	5	2.5	0	10	5	5	5.0	0	0	0	0	0.0	2.5
#158	72	-0.65	16.6	0	0	0	0	0.0	0	0	0	0	0.0	5	10	10	5	7.5	2.5
#159	71.2	1.5	39.9	5	5	10	10	7.5	0	0	0	0	0.0	0	0	0	0	0.0	2.5
#160	55	0.918	26	5	0	0	0	1.3	5	5	5	10	6.3	0	0	0	0	0.0	2.5
#161	48	6	55.2	5	0	0	0	1.3	0	0	0	0	0.0	5	5	5	10	6.3	2.5
#162	45.7	-2.9	56.2	5	0	0	0	1.3	0	0	10	10	5.0	0	0	5	0	1.3	2.5
#163	134.2	35	200.5	0	0	0	0	0.0	0	0	0	0	0.0	5	5	10	5	6.3	2.1
#164	123.7	3.1	55.1	0	0	0	0	0.0	0	0	0	0	0.0	5	5	10	5	6.3	2.1
#165	115.7	27.8	149.2	0	0	0	0	0.0	0	0	0	0	0.0	5	5	10	5	6.3	2.1
#166	105.5	1.7	18.2	0	0	0	0	0.0	5	5	5	10	6.3	0	0	0	0	0.0	2.1
#167	82.8	2.9	98.1	0	0	0	0	0.0	0	0	0	0	0.0	5	10	5	5	6.3	2.1
#168	72.1	0.66	14.7	0	0	0	0	0.0	0	0	0	0	0.0	5	5	10	5	6.3	2.1
#169	44.6	2.8	30.6	0	0	0	0	0.0	0	0	0	0	0.0	5	10	5	5	6.3	2.1
#170	44	2.4	22.4	0	0	0	0	0.0	0	0	0	0	0.0	5	10	5	5	6.3	2.1
#171	140.8	4.9	43.2	0	0	0	0	0.0	0	0	0	0	0.0	5	0	10	5	5.0	1.7
#172	78.8	2.5	23.3	0	0	0	0	0.0	5		5	10	5.0	0	0	0	0	0.0	1.7
#173	74.3	0.949	25.9	0	0	0	0	0.0	0	5	10	5	5.0	0	0	0	0	0.0	1.7
#174	64.1	2.5	38.8	0	0	0	0	0.0	0	0	0	0	0.0	5	5	5	5	5.0	1.7
#175	61.6	-1.6	58.2	0	0	0	0	0.0	5	5	5	5	5.0	0	0	0	0	0.0	1.7
#176	55.7	1.7	19.9	0	0	0	0	0.0	0	0	0	0	0.0	5	5	5	5	5.0	1.7
#177	53	10.1	62.2	0	0	0	0	0.0	0	0	0	0	0.0	5	5	5	5	5.0	1.7
#178	51.9	6.1	25.5	0	0	0	0	0.0	0	0	0	0	0.0	5	5	5	5	5.0	1.7
#179	50	0.439	37.8	0	0	5	0	1.3	0	0	0	5	1.3	0	0	5	5	2.5	1.7
#180	49.2	8.2	83.9	0	0	0	0	0.0	0	0	0	0	0.0	5	5	5	5	5.0	1.7
#181	152.6	0.483	11.9	0	0	0	5	1.3	0	0	5	5	2.5	0	0	0	0	0.0	1.3
#182	81.1	-4.3	61.3	0	0	5	5	2.5	0	0	5	0	1.3	0	0	0	0	0.0	1.3
#183	75.9	2.8	47.5	0	0	0	0	0.0	0	5	5	5	3.8	0	0	0	0	0.0	1.3
#184	64.5	0.222	10.1	0	0	0	0	0.0	0	5	5	5	3.8	0	0	0	0	0.0	1.3
#185	52.2	0.463	47.3	0	5	5	5	3.8	0	0	0	0	0.0	0	0	0	0	0.0	1.3
#186	49.1	5.6	41.4	0	0	0	0	0.0	0	0	0	0	0.0	5	5	5	0	3.8	1.3
#187	48.7	2.6	32.4	0	0	0	0	0.0	0	0	0	0	0.0	5	0	5	5	3.8	1.3
#188	43.7	0.667	36.5	0	0	0	0	0.0	0	0	0	0	0.0	5	0	5	5	3.8	1.3
#189	75.5	0.057	12.4	0	0	0	0	0.0	0	0	0	0	0.0	5	5	0	0	2.5	0.8
#190	74.4	-3.6	6.1	0	0	0	0	0.0	0	5	0	5	2.5	0	0	0	0	0.0	0.8
#191	68.8	2.9	30.5	0	0	0	0	0.0	0	0	5	5	2.5	0	0	0	0	0.0	0.8
#192	54.1	1.7	30	0	0	0	0	0.0	0	0	0	0	0.0	0	5	0	5	2.5	0.8
#193	47.8	2	19.2	0	0	0	0	0.0	0	0	5	0	1.3	0	0	5	0	1.3	0.8
#194	74.6	3.1	44.6	0	0	0	0	0.0	0	0	0	5	1.3	0	0	0	0	0.0	0.4
#195	61.3	6.7	79.2	0	5	0	0	1.3	0	0	0	0	0.0	0	0	0	0	0.0	0.4
#196	57.3	2.3	29	0	0	0	0	0.0	0	0	5	0	1.3	0	0	0	0	0.0	0.4
#197	48.9	0.108	8.2	0	0	0	5	1.3	0	0	0	0	0.0	0	0	0	0	0.0	0.4
#198	43	8.1	63.9	0	0	0	0	0.0	0	5	0	0	1.3	0	0	0	0	0.0	0.4
#199	70.2	4.3	53.5	0	0	0	0	0.0	0	0	0	0	0.0	0	0	0	0	0.0	0.0
#200	64.6	2.1	17.5	0	0	0	0	0.0	0	0	0	0	0.0	0	0	0	0	0.0	0.0

Methodology

In order to conduct the study, we first identified the 200 most important companies of the world in terms of sales. For that matter, we based our analysis on the Forbes Global 2000 list. In a second step, we ran an image-based aided online poll. It consisted of two parts: First of all, we showed the logos of the 200 companies to the participants. Each time, they were given five possible answers for the name of the company to see if they recognized it correctly. Secondly, the participants were asked in another multiple choice question to specify what each company was doing. Only, if the participant recognized the logo and were, at the same time, able to correctly identify the company’s line of business, the answer was counted as positive. The results (with a margin of error of +-4%) were then rounded to multiples of 5, numbered and ranked.

The aided online poll was conducted among 24,000 participants across three continents, more precisely 8,000 from the US, 8,000 equally from China, South Korea and Japan as well as 8,000 from EU countries. Additionally, we split up the participants equally into generation groups, Baby Boomers (1946-1964), Generation X (1965-1979), Xennials (1975-1985) and Millennials (1980-1994), in order to find possible differences.

The Forbes Global 2000 list

Since 2003, Forbes magazine publishes a ranking of the biggest 2,000 global companies in terms of sales, profit, assets and market value. Our study is based on the Forbes Global 2000 list from 2017. The timeline for the data was early April 2017. The methodology is described here:
https://www.forbes.com/sites/andreamurphy/2017/05/…

Country: The Headquarter of the company. Based on Forbes Global 2000. Source: https://www.forbes.com/global2000/list/
Sales (in billion US-$): The company’s annual revenue. Based on Forbes Global 2000. Source: https://www.forbes.com/global2000/list/
Profits (in billion US-$): The company’s annual profit. Based on Forbes Global 2000. Source: https://www.forbes.com/global2000/list/
Assets (in billion US-$): The company’s economic resources. Based on Forbes Global 2000. Source: https://www.forbes.com/global2000/list/
Market Value (in billion US-$): The company’s current stock market value. Based on Forbes Global 2000. Source: https://www.forbes.com/global2000/list/
Participants: 24,000 participants from three continents and different generations.
- Continents
  - US: 8,000 participants from the United States of America.
  - EU: 8,000 participants from EU countries.
  - Asia: 8,000 participants from China, South Korea and Japan.
- Generations
  - Millenials: 2,000 participants who were born between 1980 and 1994.
  - Xennials: 2,000 participants who were born between 1975 and 1985.
  - Generation X: 2,000 participants who were born between 1965 and 1979.
  - Baby Boomers: 2,000 participants who were born between 1946 and 1964.
Total Average: Average of all responds.

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