LONDON, Aug. 21, 2017 /PRNewswire/ — Artificial Intelligence Market Analysis By Solution (Hardware, Software, Services), By Technology (Deep Learning, Machine Learning, Natural Language Processing, Machine Vision), By End-use, By Region, and Segment Forecasts, 2014 – 2025

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The global artificial intelligence market is expected to reach USD 35,870.0 million by 2025 from its direct revenue sources, growing at a CAGR of 57.2% from 2017 to 2025, whereas it is expected to garner around USD 58,975.4 million by 2025 from its enabled revenue arenas, according to a new report by Grand View Research, Inc.

Artificial Intelligence (AI) is considered to be the next stupendous technological development, alike past developments such as the revolution of industries, the computer era, and the emergence of smartphone technology. The North American region is expected to dominate the industry due to the availability of high government funding, the presence of leading players, and strong technical base. Advances in image and voice recognition are driving the growth of the artificial intelligence market as improved image recognition technology is critical to offer enhanced drones, self-driving cars, and robotics. The AI market can be categorized based on solutions, technologies, end use, and geography.
The two major factors enabling market growth are emerging AI technologies and growth in big data espousal. The growing prominence of artificial intelligence is enabling new players to venture into the market by offering niche application-specific solutions. Furthermore, companies are also engaging in industry consolidations in a bid to gain competitive advantages. For instance, in January 2017, Microsoft Corporation acquired Maluuba for advancing in the deep learning and Artificial Intelligence (AI) landscape. Existing solution providers are innovating their product portfolio to include both hardware and software solutions.
The Asia Pacific regional market is expected to be the fastest-growing market, owing to the rapid improvements in information storage capacity, high computing power, and parallel processing, which have contributed to the swift uptake of artificial intelligence technology in end-use industries such as automotive and healthcare.
AI has the potential to reduce the burden on clinicians and provide an efficient tool to workforces for accomplishing their tasks in a better way. For instance, AI voice-enabled symptom checkers can better access a situation and assist patients to the emergency department when immediate treatment is required. AI is expected to resolve around 20% of unmet healthcare demands.

Further key findings from the report suggest:
• Growth in the volume of data being generated from different end-use industries is expected to provide traction to the technology adoption
• The increasing adoption of image and pattern recognition in the Asia-Pacific region is expected to provide new growth opportunities over the forecast period.
• The North America region is one of the early adopters of advanced technologies and renders organizations to adopt artificial intelligence capabilities at a faster pace.
• The increasing amount of digital data (in the form of speech, videos, and images, from different social media sources such as IoT and consumer analytics) is driving the need for data mining and analytics. AI is extensively used by several media and online services such as Google Assistant, dialogue and voice recognition of Siri, Microsoft Cortana, image classification in Facebook & Google Photo, and Amazon’s Alexa.
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