Global Enterprise Artificial Intelligence Market Forecast Report: Enterprise AI Market to Surge, Predicted to Hit $1.89 Billion by 2030


The “Global Enterprise Artificial Intelligence (AI) Market” report has been added to’s offering.

AI offers a significant advantage in the industry by automating repetitive tasks, thus enabling workers to focus on more complex and creative work. By automating procedures such as data input, customer service, and inventory management, businesses can enhance efficiency and productivity while utilizing fewer resources. Additionally, AI can provide valuable insights into the operations of firms, enabling optimization and data-driven decision-making.

To exemplify the impact of enterprise AI, the case of Daikin, a prominent manufacturing company, can be considered. The company leveraged enterprise AI to enhance inventory planning and sales prediction across more than 250 sites. Daikin implemented a multi-algorithmic time-series forecasting system that achieved an accuracy rate of over 90% in volume and value prediction. This improved accuracy enabled Daikin to make more informed decisions and optimize their operations effectively.

In this report, the global enterprise AI market has been segmented based on type, technology, end user, and geography. Based on component, the enterprise AI market has been categorized into solutions and services. Based on technology, the enterprise AI market is categorized into NLP, ML, computer vision, and others. Based on end-user, the enterprise AI market has been categorized into healthcare, retail, manufacturing, IT/Telecom, BFSI, and others. By geography, the market has been segmented into North AmericaEuropeAsia-Pacific, and Rest of the World. The North America region is currently the most dominant market for enterprise AI market.

In this report, the market has been segmented based on component, technology, end user, and geography. The report provides an overview of the global Enterprise AI market and analyzes market trends. Using 2022 as the base year, the report provides estimated market data for the forecast period, 2023-2028. Revenue forecasts for this period are segmented based on technology, end user, and geographical region. Market values have been estimated based on the total revenue of Enterprise AI providers.

The report covers the market in the different regions. It also highlights major trends and challenges that affect the market and the vendor landscape. The report estimates the global market for enterprise AI in 2022 and provides projections for the expected market size through 2028. The scope of the study includes different types of enterprise AI and also includes the services and technology that support enterprise AI.

The Report Includes

  • A brief general outlook of the global market for enterprise artificial intelligence (AI) systems
  • Analyses of the global market trends, with historic market revenue for 2022, estimates for 2023, forecasts for 2024 and 2026, and projections of compound annual growth rates (CAGRs) through 2028
  • Understanding of the upcoming market potential for enterprise AI market, and areas of focus to forecast this market into various segments and sub-segments
  • Estimation of the actual market size and revenue forecast for the global enterprise AI market, and corresponding market share analysis based on component, technology, end user, and geographical region
  • Discussion of the major growth drivers, opportunities and challenges, technology updates, prospects, and impact of macroeconomic variables influencing the market for enterprise AI systems as a basis for projecting demand in the next few years (2023-2028)
  • Identification of the key players operating in the global enterprise AI market, and analysis of their competitive landscape based on product portfolios, recent developments, operational integration, and other strategic advantages
  • Company profiles of major global players

Key Topics Covered:

Chapter 1 Introduction

Chapter 2 Summary and Highlights

Chapter 3 Market Overview

  • Enhanced Customer Service
  • Maximized Sales
  • Fortified Cybersecurity
  • Optimized Supply Chains
  • Task Automation
  • Existing Products Upgradation
  • Market Dynamics
  • Market Drivers
  • Market Restraints
  • Market Challenges
  • Future of Enterprise Ai
  • Rise of AI in Business Development
  • Macroeconomic Factors

Chapter 4 Market Opportunities

  • Growing Demand for Improving Business Functions
  • Increasing Partnership Among Market Leaders

Chapter 5 Market Breakdown by Component, Technology, and End-user

  • Global Enterprise Ai Market, by Component
    • Solutions
    • Services
  • Global Enterprise Ai Market, by Technology
    • Natural Language Processing (Nlp)
    • Machine Learning
    • Computer Vision
  • Global Enterprise Ai Market, by End-user
    • Retail
    • BFSI
    • Manufacturing
    • Healthcare
    • IT and Telecom

Chapter 6 Market Breakdown by Region

Chapter 7 ESG Developments

  • Key ESG Issues in the AI Industry
  • Carbon Footprint/Environmental Impact
  • Electricity
  • AI Industry ESG Performance Analysis
  • Environmental Performance
  • Social Performance
  • Governance Performance
  • Case Study
  • Concluding Remarks

Chapter 8 Competitive Landscape

  • Global Market Rankings
  • Google LLC
  • IBM Corp.
  • Microsoft Corp.

Chapter 9 M&A and Fundings Outlook

Chapter 10 Company Profiles

  • Amazon Web Services, Inc.
  • C3.Ai, Inc.
  • Datarobot Inc.
  • Google LLC
  • Hewlett Packard Enterprise
  • Ibm Corp.
  • Intel Corp.
  • Microsoft Corp.
  • Nvidia Corp.
  • Oracle Corp.
  • SAP

For more information about this report visit


Mining Tech South America (Rio De Janeiro, Brazil – November 22-23, 2023): The Leading Technology & Software Exhibition Platform in South America for Mining Digital Transformation


The “Mining Tech South America” conference has been added to’s offering.

The highly anticipated MiningTech South America conference is poised to revolutionize the mining industry with cutting-edge technologies and sustainable practices. As the leading mining technology event in the region, MiningTech South America gathers 250 industry professionals, 20 speakers, and 40 sponsors and exhibitors from 15 countries to showcase the latest innovations and advancements in IoT, automation, robotics, and more. The conference aims to drive digital transformation and enhance the mining sector’s environmental footprint, making it a pivotal platform for shaping the future of South American mining.

The two-day event boasts an engaging agenda that includes thought-provoking sessions on digital disruption, artificial intelligence, cybersecurity, and sustainability. Attendees will have the opportunity to participate in interactive panel discussions, witness live product demos, and engage in virtual 1-2-1 meetings with industry experts. As the conference adopts a hybrid format, delegates can choose to attend in-person in Rio de Janeiro or access the virtual interactive exhibition and conference hall, available 24/7 for 365 days, to explore the latest technologies and product launches.

Join MiningTech South America 2023 and be part of the movement that will shape the future of mining in Brazil and beyond. Don’t miss this unique opportunity to network with industry leaders, discover groundbreaking solutions, and drive the mining industry towards a more sustainable and prosperous tomorrow.

Key themes

  • Digital Disruption & Transformation
  • IoT & Artificial Intelligence (AI)
  • Automation Revolution
  • Blockchain
  • Robotics
  • Intelligent Equipment
  • Cybersecurity
  • Collaboration & Partnership
  • Analytics, Cloud & Big Data
  • Underground & Open-cut Mine Operations
  • Fleet Management & Materials Handling
  • New Technologies in Exploration
  • Future of Plant & Processing
  • Integration & Connectivity
  • Sustainability

Conference Agenda:

Conference Day 1

  • Mining Digital Transformation Journey
  • IoT & Artificial Intelligence
  • Automation & Robotics
  • Technology & Software Applications
  • Networking Lunch
  • Communication Systems, Satellites & Remote Tracking
  • Big Data & Analytics
  • Clean Mining & Waste Management
  • Industry Interviews & 1-2-1 Meetings
  • Chair’s Closing Remarks

Conference Day 2

  • Hi-Tech & Intelligent Mines
  • Digital Innovation in Exploration, Processing & Tailings
  • Connectivity & Agility for Mine Operations
  • Technology & Software Applications
  • Networking Lunch
  • Innovation & Sustainability in Mining
  • Driving Cultural, Leadership & Change Management
  • Industry Interviews & 1-2-1 Meetings
  • Chair’s Closing Remarks & End of Conference

Virtual Sessions Day 1 & 2

  • Interactive Panel Discussions
  • Live Presentations
  • Virtual Interviews
  • Live Product Demos
  • Online Q&A Sessions with Speakers
  • Virtual 1-2-1 Meetings
  • Chair’s Closing Remarks & End of Conference

For more information about this conference visit