AI MARKET (2020 – 2025)

The enterprise AI market is Segmented by Offering, Deployment, End-user Industry, and Geography.

  • Offering
  1. Hardware
  2. Software
  3. Services
  • Deployment
  1. Machine Learning
  2. Natural Language Processing
  3. Context-Aware Computing
  4. Computer Vision
  • End-User Industry
  1. Healthcare
  2. Manufacturing
  3. Automotive
  4. Agriculture
  5. Retail
  6. Security
  7. Human Resources
  8. Marketing
  9. Law
  10. Fintech


  1. North America
  2. Europe
  3. Asian Pacific Countries
  4. Rest of the World


The artificial intelligence market (AI) was esteemed at USD 1843.69 million out of 2018 and is expected to arrive at an estimation of USD 22889.32 million by 2024, at a CAGR of 52.17 %, during the period (2020 – 2025). Corporates are progressively perceiving the worth related to the joining of man-made reasoning (AI) into their business forms, as they improve operational proficiency and decrease cost, through the mechanization of procedure streams.

The digitalization of corporates is the most predominant pattern in the market. The fourth industrial revolution is portrayed by a blend of physical and advanced digital technologies, for example, the Internet of Things, artificial intelligence, insightful robots, supercomputing and data management which have a noteworthy effect across different businesses. The blast of modern computerization, with the far-reaching selection of the fourth transformation, is driving the appropriation of robots and mechanized innovations, to improve the proficiency of assembling forms.

For example, robotics and AI are expected to be valued at about USD 24 billion, by 2025. This pattern has enlarged the utilization of robotic process automation (RPA) among ventures, which is a significant part of AI.
AI is now being applied by the corporates to better the customer experience in the form of chatbots which are prepared to deal with straightforward demands and assignments got by a call focus. This has helped the organizations to decrease the generation cost as far as less labor utilized.

With the increasing volume of corporate data, the natural language (NLP) communication empowers PCs to perform different extra undertakings, for example, preparing enormous volumes of information utilizing NLP to recover data, extricating data, and mechanizing rundown, machine interpretation, and exchange frameworks. AI platform providers are focusing on the advancement of strong cloud-based arrangements for their customers, as a few organizations have relocated to either private or open mists.

Artificial Intelligence as of late has proceeded onward to turn into a key part for big business applications and has acted as a significant factor for effective business methodologies. With AI, corporates are currently ready to accomplish unquestionably more in very less time. Above all it has helped the undertakings to foresee business results, thus, driving the benefit.



Trends, for instance, computerized producing, 4th Industrial Revolution, 3D printing, modern robots, self-driving vehicles, augmented/virtual reality, Internet of Things (IIOT), etc., are making manufacturing progressively deft, adaptable, and customized.

In the zone of predictive maintenance, makers plan to accomplish lower maintenance costs, while improving uptime. Advanced pattern recognition and AI calculations are critical to upgrading client care levels and technological progressions can help relieve these misfortunes.


Owing to standard patterns, for example, industrial revolution and modern computerization, the European district is seeing an expanded interest. The provincial firms have been distinguished to put resources into different computerization advances, for example, robotics, artificial intelligence, machine learning and so forth.

The late venture of EUR 50 million by the UK government in five new focuses of greatness for computerized pathology and imaging which will utilize AI to fuel restorative advances. Activities like these are relied upon to help the Enterprise AI showcase positively.

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