GITNUX MARKETDATA REPORT 2024

Ai In The Mobility Industry Statistics

AI-driven technologies in the mobility industry are expected to revolutionize transportation by improving efficiency, safety, and sustainability.

Statistic 1

"By 2024, the mobility-as-a-service market is expected to reach $1.75 trillion, driving further innovation in AI."

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Statistic 2

"By 2025, there will be over 8 million autonomous vehicles, all powered by artificial intelligence."

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Statistic 3

"Artificial Intelligence can reduce operational expenses in mobility industry by 30%."

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Statistic 4

"AI-based traffic management could result in a 25% reduction in travel times."

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Statistic 5

"By 2035, AI is expected to cover 95% of all customer interactions in the mobility industry."

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Statistic 6

"In the US, 35% of adults are excited about the future of AI in transport."

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Statistic 7

"Up to 15% of new cars sold in 2030 could be fully autonomous, according to AI adoption predictions."

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Statistic 8

"AI is anticipated to generate an $800 billion revenue by 2025 in the mobility services sector."

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Statistic 9

"AI technologies can reduce logistics costs by as much as 40%."

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Statistic 10

"The AI in the transportation market is anticipated to reach over USD 10,597 Million by 2026."

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Statistic 11

"AI in transportation application market is expected to witness phenomenal growth; projected to expand over 60% from 2019 to 2026."

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Statistic 12

"Almost 75% of consumers expect to start seeing self-driving cars on the road by 2025, largely due to advancements in AI."

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Statistic 13

"AI and Machine Learning in transportation is expected to be worth $3.5 billion by 2023."

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Statistic 14

"The global semi & fully autonomous vehicle market is projected to be worth USD 6.1 trillion by 2030."

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Statistic 15

"The global machine learning market in logistics is expected to reach $9.6bn by 2027."

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Statistic 16

"AI engines are expected to monitor and predict maintenance needs in almost 50% of new vehicles by 2025."

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Statistic 17

"90% of automotive companies are investing in predictive algorithms for their AI-powered solutions."

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