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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.

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Our key underpinning is the 4-Quadrant Framework EIRS that offers detailed visualization of four elements:

  • Customer Experience Maps
  • Insights and Tools based on data-driven research
  • Actionable Results to meet all the business priorities
  • Strategic Frameworks to boost the growth journey

The study strives to evaluate the current and future growth prospects, untapped avenues, factors shaping their revenue potential, and demand and consumption patterns in the global market by breaking it into region-wise assessment.

The following regional segments are covered comprehensively:

  • North America
  • Asia Pacific
  • Europe
  • Latin America
  • The Middle East and Africa

The EIRS quadrant framework in the report sums up our wide spectrum of data-driven research and advisory for CXOs to help them make better decisions for their businesses and stay as leaders.

Below is a snapshot of these quadrants.

1. Customer Experience Map

The study offers an in-depth assessment of various customers’ journeys pertinent to the market and its segments. It offers various customer impressions about the products and service use. The analysis takes a closer look at their pain points and fears across various customer touchpoints. The consultation and business intelligence solutions will help interested stakeholders, including CXOs, define customer experience maps tailored to their needs. This will help them aim at boosting customer engagement with their brands.

2. Insights and Tools

The various insights in the study are based on elaborate cycles of primary and secondary research the analysts engage with during the course of research. The analysts and expert advisors at TMR adopt industry-wide, quantitative customer insights tools and market projection methodologies to arrive at results, which makes them reliable. The study not just offers estimations and projections, but also an uncluttered evaluation of these figures on the market dynamics. These insights merge data-driven research framework with qualitative consultations for business owners, CXOs, policy makers, and investors. The insights will also help their customers overcome their fears.

3. Actionable Results

The findings presented in this study by TMR are an indispensable guide for meeting all business priorities, including mission-critical ones. The results when implemented have shown tangible benefits to business stakeholders and industry entities to boost their performance. The results are tailored to fit the individual strategic framework. The study also illustrates some of the recent case studies on solving various problems by companies they faced in their consolidation journey.

4. Strategic Frameworks

The study equips businesses and anyone interested in the market to frame broad strategic frameworks. This has become more important than ever, given the current uncertainty due to COVID-19. The study deliberates on consultations to overcome various such past disruptions and foresees new ones to boost the preparedness. The frameworks help businesses plan their strategic alignments for recovery from such disruptive trends. Further, analysts at TMR helps you break down the complex scenario and bring resiliency in uncertain times.

The report sheds light on various aspects and answers pertinent questions on the market. Some of the important ones are:

1. What can be the best investment choices for venturing into new product and service lines?

2. What value propositions should businesses aim at while making new research and development funding?

3. Which regulations will be most helpful for stakeholders to boost their supply chain network?

4. Which regions might see the demand maturing in certain segments in near future?

5. What are the some of the best cost optimization strategies with vendors that some well-entrenched players have gained success with?

6. Which are the key perspectives that the C-suite are leveraging to move businesses to new growth trajectory?

7. Which government regulations might challenge the status of key regional markets?

8. How will the emerging political and economic scenario affect opportunities in key growth areas?

9. What are some of the value-grab opportunities in various segments?

10. What will be the barrier to entry for new players in the market?

With a robust experience in creating exceptional market reports, Transparency Market Research has emerged as one of the trusted market research companies among a large number of stakeholders and CXOs. Every report at Transparency Market Research goes through rigorous research activity in every aspect. The researchers at TMR keep a close watch on the market and extract beneficial growth-boosting points. These points help the stakeholders to strategize their business plans accordingly.

TMR researchers conduct exhaustive qualitative and quantitative research. This research involves taking inputs from the experts in the market, focused attention on recent developments, and others. This method of research makes TMR stand out from other market research firms.

Here's how Transparency Market Research helps the stakeholders and CXOs through the reports:

Inculcation and Evaluation of Strategic Collaborations: The TMR researchers analyze recent strategic activities like mergers, acquisitions, partnerships, collaborations, and joint ventures. All the information is compiled and included in the report.

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Note: Although care has been taken to maintain the highest levels of accuracy in TMR’s reports, recent market/vendor-specific changes may take time to reflect in the analysis.

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Enterprise Artificial Intelligence Market

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