New York, According to a new market research report published by Global Insight Services “Enterprise Artificial Intelligence Market” is expected to reach US$ XX bn by 2031. Report includes in-depth segmentation and market size data by categories, product types, applications, and geographies. Report also includes comprehensive analysis of key issues, trends and drivers, restraints and challenges, competitive landscape, as well as recent events such as M&A activities in the market.
Enterprise Artificial Intelligence (EAI) is a term for the application of artificial intelligence (AI) technology to business problems. EAI solutions are designed to help organizations automate tasks, improve decision making, and gain insights from data.
EAI technology can be used for a variety of tasks, including automating customer service, improving marketing campaigns, and optimizing supply chain management. EAI solutions are often deployed as part of a larger digital transformation strategy, as they can help organizations automate manual processes and improve decision making.
While EAI solutions can offer significant benefits, they also come with some risks, such as the potential for bias in algorithms. As such, it is important for organizations to carefully consider their needs before deploying EAI solutions.
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Key Trends
There are several key trends in enterprise artificial intelligence technology. One is the increasing use of artificial intelligence for predictive maintenance. This involves using AI to monitor equipment for signs of failure and then using that information to predict when maintenance will be needed. This can help to reduce downtime and improve equipment efficiency.
Another key trend is the use of artificial intelligence for quality control. This involves using AI to inspect products for defects and then using that information to improve the manufacturing process. This can help to improve product quality and reduce manufacturing costs.
Finally, there is the increasing use of artificial intelligence for customer service. This involves using AI to interact with customers and provide them with support. This can help to improve customer satisfaction and reduce customer support costs.
Key Drivers
The key drivers of enterprise artificial intelligence market are as follows:
1. Increasing demand for automating business processes: There is a growing demand for automating business processes across various industries. This is because automation can help reduce costs and improve efficiency.
2. Rapid growth of data: With the rapid growth of data, organizations are finding it difficult to manage and analyze it. This is where AI can help by providing insights from data.
3. Advancements in technology: With the advancements in technology, AI is becoming more sophisticated and is able to handle more complex tasks.
4. Increasing investment by organizations: Organizations are investing heavily in AI as they see it as a key driver of growth.
Market Segments
The enterprise artificial intelligence market report is bifurcated on the basis of technology, deployment mode, organization size, industry, and region. On the basis of technology, it is segmented into machine learning, image processing, speech recognition, and others. Based on deployment mode, it is analyzed across on-premises and cloud. By organization size, it is categorized into small & medium sized enterprises and large enterprises. By industry, it is divided into media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others. Region-wise, it is studied across North America, Europe, Asia-Pacific, and rest of the World.
Key Players
The enterprise artificial intelligence market report includes players such as Alphabet Inc., Apple Inc., Amazon Web Services, Inc, IBM, IPsoft Inc., MicroStrategy Incorporated, NVIDIA Corporation, SAP SE, Verint Systems Inc., and Wipro Limited.
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Reasons to buy Enterprise Artificial Intelligence Market Report:
• Develop comprehensive understanding of market landscape – industry structure, value-chain, key players, trends, drivers, and challenges
• Drive revenue and market-entry strategy by gaining insights into which segments and geographies are largest and likely to grow fastest
• Formulate sales and marketing strategies by gaining understanding of competitors, their positioning, and strengths & weaknesses
• Develop business and M&A strategies through understanding of latest trends and emerging players in the market
• Refine your business plans by understanding impact of disruptions such as Covid-19 and Russia-Ukraine conflict on the market
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