Enterprise Artificial Intelligence (AI) Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2018 - 2026


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Transparency Market Research

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Artificial intelligence (AI) is the ability to process information in a way similar to the thought process of humans in learning, decision making, and problem solving. AI in enterprises is rapidly moving beyond hype and is expected to become one of the most significant technological segments. Enterprises are now identifying the value associated with integrating AI into their business processes. AI can be beneficial to enterprises in a number of ways that changes the way in which organizations communicate & innovate their processes, engage with customers, and assess the sales process. The number of commercial deployments of AI technology is rising significantly around the globe. Throughout the last few years, early adopting businesses of all sizes across various verticals began to reap benefits. Some of the key industry sectors already utilizing artificial intelligence include government, retail, financial services, manufacturing, automotive, and advertising.

Digital transformation to artificial intelligence helps enterprises in understanding extortion of data and utilization of data-driven intelligence. Extensive adoption of AI in enterprises is because majority of tasks which are delegated to AI are data-driven and therefore it can be easily measured or benchmarked. AI can take many different forms, from problem-solving applications and reasoning to social intelligence solutions and natural language generation. These techniques layered together form the AI solutions that are seeing early adoption in enterprises. Specifically, predictive analytics which uses machine learning, data mining, statistics and modeling to analyze current data and to make predictions is the most commonly used solution.

The rising demand for AI-based cognitive solutions and the requirement for analyzing complex data sets in data sensitive companies are on a robust growth trajectory. Significant improvement in machine learning algorithms is also responsible for large scale adoption of AI solutions in enterprises. Growing demand for enhancing business functions and emerging innovation across industries are creating growth opportunities for enterprise AI. However, lack of skilled labor and concerns about data sharing are estimated to hinder the growth of the market. Furthermore, the slow digitization rate affecting the adoption of enterprise AI solutions in the emerging economies is also expected to act as a restraint to the growth of the enterprise AI market.

The global enterprise AI market can be segmented based on component, technology, application, organization size, and region. On the basis of component, the market can be segmented into software (cloud-based and on-premise) and services (managed and professional services). The cloud deployment type offers various benefits that include more scalability, reduced operational and maintenance costs, and fewer complexities. Enterprise AI vendors are focusing on the deployment of cloud-based solutions, owing to large scale adoption of the cloud-based deployment type. Based on technology, the global market can further be categorized into machine learning, deep learning, and Natural Language Processing (NLP). Furthermore, based on application, the market is categorized into security & risk management, process automation, analytics application, and marketing management. In terms of organization size, the market has been bifurcated into small and medium sized enterprises (SMEs), and large enterprises.

The market is segmented on the basis of regions into North America, South America, Europe, Asia Pacific, and Middle East & Africa. North America is anticipated to contribute major share in the enterprise AI market during the forecast period. The region has a significant presence of prominent technology players to cater to the rapidly growing enterprise AI market. Adoption rate of AI by SMEs and large enterprises in North America is comparatively high when compared to other regions.  Asia Pacific is expected to be the fastest growing market for enterprise AI. Rising demand for enterprise AI in emerging countries such as Japan, China, and India is driving the market growth. Europe is also expected to show significant growth in enterprise AI over the forecast period. Middle East & Africa region and South America are also expected to contribute toward growth of the market with lucrative opportunities in the long run.

Some of the major players active in the development of enterprise AI include AWS, Google Corporation, IBM Corporation, Intel Corporation, Microsoft Corporation, Oracle Corporation, SAP, Sentient Technologies, and Wipro Ltd.

MRR.BIZ has been compiled in-depth market research data in the report after exhaustive primary and secondary research. Our team of able, experienced in-house analysts has collated the information through personal interviews and study of industry databases, journals, and reputable paid sources.

The report provides the following information:

  • Tailwinds and headwinds molding the market’s trajectory
  • Market segments based on products, technology, and applications
  • Prospects of each segment
  • Overall current and possible future size of the market
  • Growth pace of the market
  • Competitive landscape and key players’ strategies

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  • Understand the opportunities and pitfalls awaiting them
  • Assess the overall growth scope in the near term
  • Strategize effectively with respect to production and distribution

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