Enterprise Artificial Intelligence Market Statistics
                     Market Highlights 
The growing inclination of enterprises towards robust technical assistance for gaining enhanced 
productivity is likely to promote the global enterprise artificial intelligence market growth, asserts 
Market Research Future (MRFR). MRFR reveals that the global enterprise artificial intelligence 
market is expected to expand with a lucrative CAGR of approximately 46% over the evaluation 
period (2016-2023). MRFR states, the global enterprise artificial intelligence market is poised to 
attain a valuation of USD 6 million by 2023. 
Industry News 
August 2019 
Appen Limited, a data provider company that helps in enhancing artificial intelligence products, 
announced the upgradation of its training data system. This solution could be beneficial in 
developing robots and autonomous vehicles.  
IBM, an American multinational IT company, partnered with Linux Foundation, a non-profit 
technology consortium. Promoting robust AI system is the desired end-result.  
Market Insights 
The high rate of adoption of artificial intelligence by enterprises is likely to boost the global 
enterprise artificial intelligence market growth. The growing awareness about artificial intelligence 
and its high acceptance by companies are factors that are likely to benefit the global enterprise 
artificial intelligence market. Artificial intelligence helps in streamlining business process. The 
global enterprise artificial intelligence market is likely to gain momentum as the trending 
technology can effectively simplify complex business transactions. Moreover, the need for effective 
data management promote the enterprise artificial intelligence market growth. 
Segmentation: 
The global enterprise artificial intelligence market statistics study has been segmented based on 
solution, services, deployment, and industry vertical. 
By solution, the enterprise artificial intelligence market has been segmented into business 
intelligence, sales & marketing, customer management, digital commerce, finance & operation, and 
others. 
By services, the enterprise artificial intelligence market has been segmented into professional 
service and managed service. The professional service has been classified into consulting service, 
integration and deployment service, and support & maintenance service. 
By deployment, the enterprise artificial intelligence market has been segmented into on-premise 
and cloud.  
By industry vertical, the enterprise artificial intelligence market has been segmented into retail, 
automotive, media & entertainment, aerospace, banking & financial services, healthcare, IT & 
Telecommunication, and others. 
Regional Outlook 
By region, the enterprise artificial intelligence market has been studied across North America, Asia 
Pacific, Europe, and the Rest of the World (RoW). 
North America is to lead in the global enterprise artificial intelligence market. Continuous technical 
upgradation in North America is likely to surge the regional enterprise artificial intelligence market. 
Additionally, the residence of technical giants in the region is expected to cast a positive impact on 
the North American market. The high rate of adoption of artificial intelligence across different 
industry verticals is anticipated to intensify the enterprise artificial intelligence market growth. The 
US is expected to contribute significantly to the health of the North American enterprise artificial 
intelligence market growth. In Europe, the growth of the enterprise artificial intelligence market 
can be attributed to the increasing demand for supply chain monitoring and predictive 
maintenance. The Asia Pacific enterprise artificial intelligence market is set to register a lucrative 
CAGR over the review period. The growing acceptance of latest technologies and the presence of 
high end-users of AI such as IT & Telecommunication, automobile, and healthcare sectors are 
factors that are expected to encourage the APAC market growth.   
Key Players 
Wipro Technologies (India), Cycorp, Inc (U.S.), SAS Institute (U.S.), Tamr (U.S.), Trifacta (U.S.), 
CrowdFlower (U.S.), Algolia (U.S.), Petuum (U.S.), Corporation (U.S.), International Business 
Machines, Microsoft Corporation (U.S.), Dataiku (U.S.), Sapho (U.S.), Anodot Ltd (Israel),  Element AI 
(Canada), Appier, Inc (Taiwan), Amazon Web Services (U.S.), Wade & Wendy (U.S.), Intel 
Corporation (U.S.), DataRobot (U.S.), Google, LLC (U.S.), SAP SE (Germany), LeapMind (Japan),  
HireVue Inc (U.S.), Sentinent Technologies (U.S.), Zendesk (U.S.), Artifacia (India), Oracle 
Corporation (U.S.), Hewlett Packard Enterprise (U.S.),and  Arimo (U.S.)