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Enterprise Artificial Intelligence Market Trends and Forecast

The future of the global enterprise artificial intelligence market looks promising with opportunities in the media & advertising, retail, BFSI, IT & telecom, healthcare, and automotive markets. The global enterprise artificial intelligence market is expected to reach an estimated $58.4 billion by 2028 with a CAGR of 25.6% from 2023 to 2028. The major drivers for this market are emergence of digitalization among enterprises, rising adoption of automated technologies among manufacturing units, and growing demand for cloud-based services across industries.
Enterprise Artificial Intelligence Market by Deployment Type, Technology, and End Use Industry
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown here.
Enterprise Artificial Intelligence Market by Segments

Enterprise Artificial Intelligence Market by Segment

The study includes trends and forecast for the global enterprise artificial intelligence market by deployment type, technology, end use industry, and region.
 

Enterprise Artificial Intelligence Market by Deployment Type [Shipment Analysis by Value from 2017 to 2028]:

  • Cloud
  • On-Premises

Enterprise Artificial Intelligence Market by Technology [Shipment Analysis by Value from 2017 to 2028]:

  • Natural Language Processing (NLP)
  • Machine Learning
  • Computer Vision
  • Speech Recognition
  • Otros

Enterprise Artificial Intelligence Market by End Use Industry [Shipment Analysis by Value from 2017 to 2028]:

  • Media & Advertising
  • Retail
  • BFSI
  • IT & Telecom
  • Cuidado de la salud
  • Automotor
  • Otros

Enterprise Artificial Intelligence Market by Region [Shipment Analysis by Value from 2017 to 2028]:

  • América del norte
  • Europa
  • Asia Pacífico
  • The Rest of the World

List of Enterprise Artificial Intelligence Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies, enterprise artificial intelligence companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the enterprise artificial intelligence companies profiled in this report include-
  • Amazon Web Services
  • IBM
  • Microsoft
  • Oracle
  • Intel
  • Alfabeto
  • SAP SE

Enterprise Artificial Intelligence Market Insights

  • Lucintel forecasts that NLP will remain the highest growing segment over the forecast period due to its extensive application by enterprises to create and determine information from a text in a clear, grammatically correct, and naturally structured way.
  • IT & telecom will remain the largest segment due to increasing utilization of AI technology among emerging companies and cloud-based businesses.
  • North America will remain the largest region over the forecast period due to the presence of key players and significant adoption of AI technology in SMEs and large enterprises of the region.

Features of the Global Enterprise Artificial Intelligence Market

  • Market Size Estimates: Enterprise artificial intelligence market size estimation in terms of value ($B).
  • Trend and Forecast Analysis: Market trends (2017 to 2022) and forecast (2023 to 2028) by various segments and regions.
  • Segmentation Analysis: Enterprise artificial intelligence market size by various segments, such as by deployment type, technology, end use industry, and region in terms of value ($B).
  • Regional Analysis: Enterprise artificial intelligence market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
  • Growth Opportunities: Analysis of growth opportunities in different deployment type, technology, end use industry, and regions for the enterprise artificial intelligence Market.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape of the enterprise artificial intelligence Market.
  • Análisis de la intensidad competitiva de la industria basada en el modelo de cinco fuerzas de Porter.

Preguntas frecuentes

Q.1 What is the enterprise artificial intelligence Market size?
Answer: The global enterprise artificial intelligence market is expected to reach an estimated $58.4 billion by 2028.
Q.2 What is the growth forecast for enterprise artificial intelligence Market?
Answer: The global enterprise artificial intelligence market is expected to grow with a CAGR of 25.6% from 2023 to 2028.
Q.3 What are the major drivers influencing the growth of the enterprise artificial intelligence market?
Answer: The major drivers for this market are emergence of digitalization among enterprises rising adoption of automated technologies among manufacturing units growing demand for cloud-based services across industries
Q4. What are the major segments for enterprise artificial intelligence market?
Answer: The future of the enterprise artificial intelligence market looks promising with opportunities in the media & advertising, retail, BFSI, IT & telecom, healthcare, and automotive markets.
Q5. Who are the key enterprise artificial intelligence market companies?
Answer: Some of the key Enterprise Artificial Intelligence Market companies are as follows:
• Amazon Web Services
• IBM
• Microsoft
• Oracle
• Intel
• Alphabet
• SAP SE
Q6. Which enterprise artificial intelligence market segment will be the largest in future?
Answer: Lucintel forecasts that NLP will remain the highest growing segment over the forecast period due to its extensive application by enterprises to create and determine information from a text in a clear, grammatically correct, and naturally structured way.
Q7. In enterprise artificial intelligence market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region over the forecast period due to the presence of key players and significant adoption of AI technology in SMEs and large enterprises of the region.
Q.8 Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% Customization Without any Additional Cost.

This report answers following 11 key questions:

Q.1. What are some of the most promising, high-growth opportunities for the global enterprise artificial intelligence market by deployment type (cloud and on-premises), technology (natural language processing, machine learning, computer vision, speech recognition, and others), end use industry (media & advertising, retail, BFSI, IT & telecom, healthcare, automotive, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

For any questions related to enterprise artificial intelligence market or related to enterprise artificial intelligence companies, enterprise artificial intelligence market size, enterprise artificial intelligence market share, enterprise artificial intelligence market growth, enterprise artificial intelligence market research, write Lucintel analyst at email: helpdesk@lucintel.com we will be glad to get back to you soon.
Tabla de contenido
 
 
1. Executive Summary
 
2. Global Enterprise Artificial Intelligence Market: Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges 
 
3. Market Trends and Forecast Analysis from 2017 to 2028
3.1: Macroeconomic Trends (2017-2022) and Forecast (2023-2028)
3.2: Global Enterprise Artificial Intelligence Market Trends (2017-2022) and Forecast (2023-2028)
3.3: Global Enterprise Artificial Intelligence Market by Deployment Type
3.3.1: Cloud   
3.3.2: On-Premises   
3.4: Global Enterprise Artificial Intelligence Market by Technology
3.4.1: Natural Language Processing (NLP)   
3.4.2: Machine Learning   
3.4.3: Computer Vision   
3.4.4: Speech Recognition   
3.4.5: Others   
3.5: Global Enterprise Artificial Intelligence Market by End Use Industry 
3.5.1: Media & Advertising   
3.5.2: Retail   
3.5.3: BFSI   
3.5.4: IT & Telecom   
3.5.5: Healthcare   
3.5.6: Automotive    
3.5.7: Others   
 
4. Market Trends and Forecast Analysis by Region from 2017 to 2028
4.1: Enterprise Artificial Intelligence Market by Region
4.2: North American Enterprise Artificial Intelligence Market
4.2.1: North American Enterprise Artificial Intelligence Market by Deployment Type: Cloud and On-Premises
4.2.2: North American Enterprise Artificial Intelligence Market by Technology: Natural Language Processing (NLP), Machine Learning, Computer Vision, and Speech Recognition, Others
4.3: European Enterprise Artificial Intelligence Market 
4.3.1: European Enterprise Artificial Intelligence Market by Deployment Type: Cloud and On-Premises
4.3.2: European Enterprise Artificial Intelligence Market by Technology: Natural Language Processing (NLP), Machine Learning, Computer Vision, Speech Recognition, and Others
4.4: APAC Enterprise Artificial Intelligence Market 
4.4.1: APAC Enterprise Artificial Intelligence Market by Deployment Type: Cloud and On-Premises
4.4.2: APAC Enterprise Artificial Intelligence Market by Technology: Natural Language Processing (NLP), Machine Learning, Computer Vision, Speech Recognition, and Others
4.5: ROW Enterprise Artificial Intelligence Market 
4.5.1: ROW Enterprise Artificial Intelligence Market by Deployment Type: Cloud and On-Premises
4.5.2: ROW Enterprise Artificial Intelligence Market by Technology: Natural Language Processing (NLP), Machine Learning, Computer Vision, Speech Recognition, and Others
 
5. Competitor Analysis  
5.1: Product Portfolio Analysis  
5.2: Operational Integration  
5.3: Porter’s Five Forces Analysis   
 
6. Growth Opportunities and Strategic Analysis  
6.1: Growth Opportunity Analysis   
6.1.1: Growth Opportunities for the Global Enterprise Artificial Intelligence Market by Deployment Type
6.1.2: Growth Opportunities for the Global Enterprise Artificial Intelligence Market by Technology
6.1.3: Growth Opportunities for the Global Enterprise Artificial Intelligence Market by End Use Industry 
6.1.4: Growth Opportunities for the Global Enterprise Artificial Intelligence Market by Region
6.2: Emerging Trends in the Global Enterprise Artificial Intelligence Market  
6.3: Strategic Analysis   
6.3.1: New Product Development   
6.3.2: Capacity Expansion of the Global Enterprise Artificial Intelligence Market  
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Enterprise Artificial Intelligence Market  
6.3.4: Certification and Licensing   
 
7. Company Profiles of Leading Players  
7.1: Amazon Web Services   
7.2: IBM   
7.3: Microsoft    
7.4: Oracle    
7.5: Intel    
7.6: Alphabet   
7.7: SAP SE
 
.

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Lucintel ha estado en el negocio de la consultoría de investigación y gestión de mercado desde 2000 y ha publicado más de 1000 informes de inteligencia de mercado en varios mercados / aplicaciones y atendió a más de 1,000 clientes en todo el mundo. Este estudio es una culminación de cuatro meses de esfuerzo a tiempo completo realizado por el equipo analista de Lucintel. Los analistas utilizaron las siguientes fuentes para la creación y finalización de este valioso informe:
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  • Investigación secundaria detallada de los estados financieros de los competidores y datos publicados 
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Por lo tanto, Lucintel compila grandes cantidades de datos de numerosas fuentes, valida la integridad de esos datos y realiza un análisis exhaustivo. Lucintel luego organiza los datos, sus hallazgos y las ideas sobre un informe conciso diseñado para respaldar el proceso estratégico de toma de decisiones. La siguiente figura es una representación gráfica del proceso de investigación de Lucintel. 
 

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