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Enterprise Artificial Intelligence Market
Enterprise Artificial Intelligence Market By Organization, End Use, Deployment, Technology (Natural Language Processing, Computer Vision), - Partner & Customer Ecosystem (Product Services, Proposition & Key Features) Competive Index & Regional Footprints by MarketDigits - Forecast 2024-2032
Industry : Information Technology | Pages : 149 Pages | Published On : Mar 2024
The latest report on Enterprise Artificial Intelligence Market understands market size estimates, forecasts, market shares, competition analysis, along with industry trends of Enterprise Artificial Intelligence with emphasis on market timelines and technology roadmaps analysis.
The Enterprise Artificial Intelligence market is segmented by Component, Application Area, Deployment Type, Organization Size, Technology, Industry Vertical, Region. The research covers the current and historic Enterprise Artificial Intelligence market size and its growth trend with company outline of key players: SAP, Sentient Technologies, Oracle, IBM, Microsoft, AWS, Intel, Google, HPE, Wipro, Apple Inc., IPsoft Inc, MicroStrategy Incorporated, NVIDIA Corporation, Verint.
Analysis of the global market with special focus on high growth application in each vertical and fast-growing market segments. It includes detailed competitive landscape with identification of the key players with respect to each type of market, in-depth market share analysis with individual revenue, market shares, and top players rankings. Impact analysis of the market dynamics with factors currently driving and restraining the growth of the market, along with their impact in the short, medium, and long-term landscapes. Competitive intelligence from the company profiles, key player strategies, game-changing developments such as product launches and acquisitions.
Enterprise Artificial Intelligence Market Size
| Report | Details |
|---|---|
| Market Size Value | USD 20.6535624 Billion in 2024 |
| Market Size Value | US$ 299.5 Billion by 2032 |
| CAGR | 34.6% |
| Forecast Period | 2024-2032 |
| Base Year | 2023 |
| Historic Data | 2020 |
The objective of this study is to identify the market opportunities and estimate market size by segments and countries for last few years and to forecast the values to the next five years. The report incorporates both the qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study. The report also covers qualitative analysis on the market, by incorporating complete pricing and cost analysis of components & products, Porter’s analysis and PEST (Political, Economic, Social & Technological factor) analysis of the market. The report also profiles all major companies active in this field.
Enterprise Artificial Intelligence market is segmented by Component, Application Area, Deployment Type, Organization Size, Technology, Industry Vertical, Region. Players, stakeholders, and other participants in the global Enterprise Artificial Intelligence market will be able to gain a strong position as this report will surely benefit their marketing strategies. The market analysis focuses on revenue and forecast by region/countries and by application in terms of revenue and forecast for the period 2022-2028.
Report further studies the market development status and future and Enterprise Artificial Intelligence Market trend across the world. Also, it splits Enterprise Artificial Intelligence market segmentation by Component, Application Area, Deployment Type, Organization Size, Technology, Industry Vertical, Region to deep dive research and reveals market profile and prospects.
Enterprise Artificial Intelligence Market Segments Covered in the Report
By Component
- Solution
- Business Intelligence
- Customer Management
- Sales and Marketing
- Finance and Operation
- Digital Commerce
- Others
- Services
- Professional services
- Managed services
By Application Area
- Security and risk management
- Marketing management
- Customer support and experience
- Human resource and recruitment management
- Analytics application
- Process automation
By Deployment Type
- Cloud
- On-premises
By Organization Size
- Small and Medium-sized Businesses (SMBs)
- Large enterprises
By Technology
- Machine learning and deep learning
- Natural Language Processing (NLP)
- Image Processing
- Speech Recognition
By Industry Vertical
- Media & Advertising
- Manufacturing
- BFSI
- IT & Telecom
- Retail
- Healthcare
- Automotive & Transportation
- Other End-user Industries
By Region
- North America
- US
- Canada
- Europe
- UK
- Germany
- Franc
- Rest of Europe
- Asia-Pacific (APAC)
- China
- Japan
- India
- Rest of APAC
- Rest of the World (RoW)
- Middle East
- Africa
- South America
Reason to purchase this Enterprise Artificial Intelligence Market Report:
- Determine prospective investment areas based on a detailed trend analysis of the global Enterprise Artificial Intelligence Market over the next years.
- Gain an in-depth understanding of the underlying factors driving demand for different and Enterprise Artificial Intelligence market segments in the top spending countries across the world and identify the opportunities offered by each of them.
- Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.
- Identify the major channels that are driving the global Enterprise Artificial Intelligence market, providing a clear picture of future opportunities that can be tapped, resulting in revenue expansion.
- Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global Enterprise Artificial Intelligence market.
- Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top Enterprise Artificial Intelligence market providers around the world which include information about their products, alliances, recent contract wins and financial analysis wherever available.
Table of Contents: 1. EXECUTIVE SUMMARY 2. INTRODUCTION 2.1. Key Takeaways 2.2. Report Description 2.3. Market Scope & Definition 2.4. Stakeholders 2.5. Research Methodology 2.5.1. Market Size 2.5.2. Key Data Points From Primary Sources 2.5.3. Key Data Points From Secondary Sources 2.5.4. List Of Primary Sources 2.5.5. List Of Secondary Sources 3. MARKET OVERVIEW 3.1. Industry Segmentation 3.2. Market Trends Analysis 3.3. Major Funding & Investments 3.4. Market Dynamics 3.4.1. Drivers 3.4.2. Restraints 3.4.3. Opportunities 3.5. Value Chain Analysis 3.6. Pricing Analysis 4. IMPACT OF COVID-19 ON ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET 4.1. Impact Of Covid-19 On Market, By Component 4.2. Impact Of Covid-19 On Market, By Application Area 4.3. Impact Of Covid-19 On Market, By Deployment Type 4.4. Impact Of Covid-19 On Market, By Organization Size 4.5. Impact Of Covid-19 On Market, By Technology 4.6. Impact Of Covid-19 On Market, By Industry Vertical 4.7. Impact of Covid-19 On Market, By Region 5. ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT 5.1. Introduction 5.2. Solution 5.3. Services 6. ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION AREA 6.1. Introduction 6.2. Security and risk management 6.3. Marketing management 6.4. Customer support and experience 6.5. Human resource and recruitment management 6.6. Analytics application 6.7. Process automation 7. ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT TYPE 7.1. Introduction 7.2. Cloud 7.3. On-premises 8. ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE 8.1. Introduction 8.2. Small and Medium-sized Businesses (SMBs) 8.3. Large enterprises 9. ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY 9.1. Introduction 9.2. Machine learning and deep learning 9.3. Natural Language Processing (NLP) 9.4. Image Processing 9.5. Speech Recognition 10. ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET, BY INDUSTRY VERTICAL 10.1. Introduction 10.2. Media & Advertising 10.3. Manufacturing 10.4. BFSI 10.5. IT & Telecom 10.6. Retail 10.7. Healthcare 10.8. Automotive & Transportation 10.9. Other End-user Industries 11. ENTERPRISE ARTIFICIAL INTELLIGENCE MARKET, BY GEOGRAPHY 11.1. Introduction 11.2. North America 11.2.1. U.S. 11.2.2. Canada 11.3. Europe 11.3.1. Germany 11.3.2. U.K. 11.3.3. France 11.3.4. Rest of Europe 11.4. Asia Pacific 11.4.1. China 11.4.2. Japan 11.4.3. India 11.4.4. Rest Of Asia Pacific 11.5. Rest of the World 11.5.1. Middle East 11.5.2. Africa 11.5.3. Latin America 12. COMPETITIVE ANALYSIS 12.1. Introduction 12.2. Top Companies Ranking 12.3. Market Share Analysis 12.4. Recent Developments 12.4.1. New Product Launch 12.4.2. Mergers & Acquisitions 12.4.3. Collaborations, Partnerships & Agreements 12.4.4. Rewards & Recognition 13. COMPANY PROFILES 13.1. SAP 13.2. Sentient Technologies 13.3. Oracle 13.4. IBM 13.5. Microsoft 13.6. AWS 13.7. Intel 13.8. Google 13.9. HPE 13.10. Wipro 13.11. Apple Inc. 13.12. IPsoft Inc 13.13. MicroStrategy Incorporated 13.14. NVIDIA Corporation 13.15. Verint
TOC
Table and Figures
Methodology:
At MarketDigits, we take immense pride in our 360° Research Methodology, which serves as the cornerstone of our research process. It represents a rigorous and comprehensive approach that goes beyond traditional methods to provide a holistic understanding of industry dynamics.
This methodology is built upon the integration of all seven research methodologies developed by MarketDigits, a renowned global research and consulting firm. By leveraging the collective strength of these methodologies, we are able to deliver a 360° view of the challenges, trends, and issues impacting your industry.
The first step of our 360° Research Methodology™ involves conducting extensive primary research, which involves gathering first-hand information through interviews, surveys, and interactions with industry experts, key stakeholders, and market participants. This approach enables us to gather valuable insights and perspectives directly from the source.
Secondary research is another crucial component of our methodology. It involves a deep dive into various data sources, including industry reports, market databases, scholarly articles, and regulatory documents. This helps us gather a wide range of information, validate findings, and provide a comprehensive understanding of the industry landscape.
Furthermore, our methodology incorporates technology-based research techniques, such as data mining, text analytics, and predictive modelling, to uncover hidden patterns, correlations, and trends within the data. This data-driven approach enhances the accuracy and reliability of our analysis, enabling us to make informed and actionable recommendations.
In addition, our analysts bring their industry expertise and domain knowledge to bear on the research process. Their deep understanding of market dynamics, emerging trends, and future prospects allows for insightful interpretation of the data and identification of strategic opportunities.
To ensure the highest level of quality and reliability, our research process undergoes rigorous validation and verification. This includes cross-referencing and triangulation of data from multiple sources, as well as peer reviews and expert consultations.
The result of our 360° Research Methodology is a comprehensive and robust research report that empowers you to make well-informed business decisions. It provides a panoramic view of the industry landscape, helping you navigate challenges, seize opportunities, and stay ahead of the competition.
In summary, our 360° Research Methodology is designed to provide you with a deep understanding of your industry by integrating various research techniques, industry expertise, and data-driven analysis. It ensures that every business decision you make is based on a well-triangulated and comprehensive research experience.
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Covered Key Topics
Growth Opportunities
Market Growth Drivers
Leading Market Players
Company Market Share
Market Size and Growth Rate
Market Trend and Technological
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