AI Insights
Enterprise Artificial Intelligence Market: A Guide
The Enterprise Artificial Intelligence Market size is estimated to be approximately USD 21.7 billion in 2024 and is projected to reach around USD 120.5 billion by 2033, growing at a compound annual growth rate (CAGR) of about 20.5% from 2025 to 2033.
Enterprise Artificial Intelligence Market Overview
The Enterprise Artificial Intelligence (AI) Market is witnessing rapid growth as organizations increasingly adopt AI technologies to enhance business operations, improve decision-making, and drive innovation. AI applications such as machine learning, natural language processing, and computer vision are being integrated across various industries, including finance, healthcare, retail, and manufacturing. The growing need for automation, data analytics, and personalized customer experiences is fueling market demand. Additionally, advancements in AI platforms and cloud computing are enabling scalable and cost-effective AI deployments. Challenges such as data privacy concerns and integration complexities remain but are being addressed through evolving regulations and improved AI frameworks. Overall, the enterprise AI market is poised for substantial expansion, transforming traditional business models globally.
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1) To understand how our report can bring a difference to your business strategy
2) To understand the analysis and growth rate in your region
3) Graphical introduction of global as well as the regional analysis
4) Know the top key players in the market with their revenue analysis
5) SWOT analysis, PEST analysis, and Porter’s five force analysis
The report further explores the key business players along with their in-depth profiling
Microsoft Corporation, NVIDIA Corporation, Alphabet Inc. (Google), Amazon Web Services (AWS), IBM Corporation, Oracle Corporation, SAP SE, Intel Corporation, C3.ai, Inc., and Wipro Limited.
Enterprise Artificial Intelligence Market Segments:
By Technology:
• Machine Learning
• Natural Language Processing (NLP)
• Computer Vision
• Robotics
• Speech Recognition
By Deployment Mode:
• On-Premises
• Cloud
By Enterprise Size:
• Small & Medium Enterprises (SMEs)
• Large Enterprises
By Application:
• Customer Relationship Management (CRM)
• Supply Chain Management
• Human Resource Management (HRM)
• Fraud Detection
• Predictive Maintenance
• Others
By Industry Vertical:
• Banking, Financial Services, and Insurance (BFSI)
• Healthcare and Life Sciences
• Retail and E-commerce
• Manufacturing
• Telecommunications and IT
• Government and Public Sector
• Others
Report Drivers & Trends Analysis:
The report also discusses the factors driving and restraining market growth, as well as their specific impact on demand over the forecast period. Also highlighted in this report are growth factors, developments, trends, challenges, limitations, and growth opportunities. This section highlights emerging Enterprise Artificial Intelligence Market trends and changing dynamics. Furthermore, the study provides a forward-looking perspective on various factors that are expected to boost the market’s overall growth.
Competitive Landscape Analysis:
In any market research analysis, the main field is competition. This section of the report provides a competitive scenario and portfolio of the Enterprise Artificial Intelligence Market’s key players. Major and emerging market players are closely examined in terms of market share, gross margin, product portfolio, production, revenue, sales growth, and other significant factors. Furthermore, this information will assist players in studying critical strategies employed by market leaders in order to plan counterstrategies to gain a competitive advantage in the market.
Regional Outlook:
The following section of the report offers valuable insights into different regions and the key players operating within each of them. To assess the growth of a specific region or country, economic, social, environmental, technological, and political factors have been carefully considered. The section also provides readers with revenue and sales data for each region and country, gathered through comprehensive research. This information is intended to assist readers in determining the potential value of an investment in a particular region.
» North America (U.S., Canada, Mexico)
» Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
» Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
» South America (Brazil, Argentina, Rest of SA)
» Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
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Key Benefits for Stakeholders:
⏩ The study represents a quantitative analysis of the present Enterprise Artificial Intelligence Market trends, estimations, and dynamics of the market size from 2025 to 2032 to determine the most promising opportunities.
⏩ Porter’s five forces study emphasizes the importance of buyers and suppliers in assisting stakeholders to make profitable business decisions and expand their supplier-buyer network.
⏩ In-depth analysis, as well as the market size and segmentation, help you identify current Enterprise Artificial Intelligence Market opportunities.
⏩ The largest countries in each region are mapped according to their revenue contribution to the market.
⏩ The Enterprise Artificial Intelligence Market research report gives a thorough analysis of the current status of the Enterprise Artificial Intelligence Market’s major players.
Key questions answered in the report:
➧ What will the market development pace of the Enterprise Artificial Intelligence Market?
➧ What are the key factors driving the Enterprise Artificial Intelligence Market?
➧ Who are the key manufacturers in the market space?
➧ What are the market openings, market hazards,s and market outline of the Enterprise Artificial Intelligence Market?
➧ What are the sales, revenue, and price analysis of the top manufacturers of the Enterprise Artificial Intelligence Market?
➧ Who are the distributors, traders, and dealers of Enterprise Artificial Intelligence Market?
➧ What are the market opportunities and threats faced by the vendors in the Enterprise Artificial Intelligence Market?
➧ What are deals, income, and value examination by types and utilizations of the Enterprise Artificial Intelligence Market?
➧ What are deals, income, and value examination by areas of enterprises in the Enterprise Artificial Intelligence Market?
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Reasons To Buy The Enterprise Artificial Intelligence Market Report:
➼ In-depth analysis of the market on the global and regional levels.
➼ Major changes in market dynamics and competitive landscape.
➼ Segmentation on the basis of type, application, geography, and others.
➼ Historical and future market research in terms of size, share growth, volume, and sales.
➼ Major changes and assessment in market dynamics and developments.
➼ Emerging key segments and regions
➼ Key business strategies by major market players and their key methods
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This release was published on openPR.
Oracle Corporation (NASDAQ: ORCL) surprised the markets today with a dramatic stock rally. Its shares jumped more than 40%, reaching record highs and placing the company near the trillion-dollar club. This sharp increase was powered by huge demand for Oracle’s cloud services, especially for artificial intelligence (AI) and big partnerships.
Wall Street focused on the financial side, but Oracle also highlighted something else: its environmental goals. The company wants to show that fast growth can go hand in hand with sustainability. By investing in both AI and green programs, Oracle is shaping an image as a modern tech leader that balances profit with responsibility.
Record-Breaking Rally: Oracle’s Biggest Jump in Decades
The jump in Oracle’s stock was its largest in more than 30 years. Investors reacted to news that Oracle signed multiple multi-billion-dollar contracts with tech giants such as OpenAI, Meta, and NVIDIA.
These contracts are tied to AI cloud services and pushed Oracle’s contract backlog to around $455 billion, a sharp rise from $130 billion just a quarter earlier.
This backlog shows how fast demand for Oracle Cloud Infrastructure (OCI) is growing. The company responded by raising its forecast for OCI revenue. It now expects 77% growth this fiscal year, higher than its earlier estimate of 70%. The company also predicts $18 billion in cloud revenue in 2025 and has set a long-term target of $144 billion by 2030.
The growth reflects the global rush to build AI systems. Oracle has placed itself at the center of this movement, partnering in major projects such as the Stargate initiative led by SoftBank and OpenAI. These deals highlight Oracle’s role in powering the next generation of AI.
Recent Developments Strengthening Oracle’s Position
On top of these strong results, Oracle has made headlines with two new announcements that underline its growing role in AI.
The first is a massive deal with OpenAI. Beginning in 2027, OpenAI will purchase at least $300 billion worth of computing power from Oracle over five years. This is one of the largest cloud agreements in history, and it shows how central Oracle has become to advanced AI systems. For Oracle, it marks a major vote of confidence from one of the most important AI companies in the world.
Oracle’s stock surged to a record high. This boosted the company’s market value to nearly $1 trillion. The rally also made headlines for another reason: it boosted co-founder Larry Ellison’s wealth by more than $100 billion in a single day, making him the world’s richest person.
Greener Growth: Oracle’s Path to Net Zero
Amid the AI excitement and stock rally, Oracle is pushing its green message. The company has promised to be carbon neutral by 2050. It also set a nearer goal to cut greenhouse gas emissions in half by 2030, using 2020 as its baseline year. These goals cover its offices, data centers, and cloud services.
Oracle has already achieved some key milestones:
- Renewable power: 86% of OCI’s global energy came from renewables in 2023.
- Regional progress: Europe and Latin America already run on 100% renewable power.
- Global ambition: Oracle plans to hit 100% renewable energy worldwide by 2025.
- Water and waste: Since 2020, water use has dropped by almost 25% and landfill waste by more than 35%.
- Travel impact: Employee air travel emissions have been cut by 38% thanks to more virtual meetings.
These achievements prove Oracle is not only talking about sustainability but also acting on it. For a company scaling up fast in cloud and AI, these steps are important. They show Oracle is trying to balance expansion with its responsibility to the planet.
Pushing Green Standards Across the Supply Chain
Oracle knows its environmental impact extends beyond its own walls. A big part of its footprint comes from suppliers. That’s why the company is pushing its partners to meet strict environmental standards.
Here are some of the key steps:
- Supplier programs: All major suppliers must have environmental programs.
- Emission targets: At least 80% of suppliers are expected to set formal climate goals.
- Progress: More than four in five suppliers already meet these expectations.
- Broader impact: By setting these standards, Oracle ensures its ESG efforts reach across its global supply chain.
This approach boosts Oracle’s credibility. It tells investors and clients that the company’s sustainability commitments are not limited to its own operations. Instead, they cover the full ecosystem of partners that make its technology possible.
AI-Powered Tools for Climate Accountability
Oracle is also building tools to help other companies meet their climate goals. One of these is Fusion Cloud Enterprise Performance Management (EPM) for ESG. This platform allows organizations to automate sustainability reporting, integrate emissions data with financial information, and align with global standards.
The system uses AI to make reporting easier and more accurate. This is important as regulators push companies to disclose their environmental impacts in more detail.
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It combines Scope 1, 2, and 3 emissions data based on the GHG Protocol Corporate Standard. This links emissions to financial and operational data, helping with better ESG management.
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Oracle improved its ESG reporting with this platform. They cut reporting timelines by 30% using automation and AI-driven process management.
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The platform collects unique identifiers from source documents. This ensures clear data tracking and auditability. It boosts transparency and lowers compliance risks.
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It supports global reporting standards like IFRS, ESRS (CSRD), and GRI. This helps organizations align their disclosures with changing regulations easily.
Oracle has also introduced features in its cloud infrastructure that estimate emissions from customer workloads. This means clients can see how much carbon their computing generates and adjust operations to stay on track with their own sustainability commitments. By doing this, Oracle is not only greening its own business but also helping others.
The Tough Road Ahead: Energy Demands vs. Climate Goals
Still, Oracle faces challenges in meeting its promises. Reaching 100% renewable energy worldwide is difficult, especially in regions where clean energy options are limited. Ensuring suppliers stick to emissions goals is also complex, given the size of Oracle’s global network.
Another challenge is the massive energy demand of AI. As Oracle expands its role in AI infrastructure, its energy use will rise. Balancing this growth with its climate goals will require new investment in efficient data centers, renewable sourcing, and innovations in green computing.
Oracle’s record-breaking stock surge highlights its importance in the AI and cloud industry. But what makes its story more powerful is the balance it is trying to strike between growth and sustainability. By pledging net zero emissions by 2050, setting ambitious near-term targets, and building tools for others to track emissions, Oracle is showing that technology and responsibility can go together.
For investors, Oracle now offers both a high-growth AI story and a strong ESG narrative. For customers, it provides powerful cloud services backed by renewable energy and transparent carbon data.
As Oracle continues to grow, its ability to deliver on both financial and environmental goals may define its future as one of the world’s most influential technology leaders.
As a seasoned senior vice president at a global tech firm, Sharon wasn’t expecting to feel emotional while listening to a keynote. But as former U.S. Surgeon General Dr. Vivek Murthy spoke, describing how loneliness has become a public health crisis, something clicked. “It wasn’t that the information was new,” she told us. “It was that I suddenly saw the evidence everywhere—in my team, in our culture, even in myself.”
In addition to his role as CAIO, Whiting joins Andrew Laughter, CEO Randy Jeter and CIO Phil Ben-Joseph as a Partner in Procure IT. He will work with Laughter at the company’s Winter Park, Fla., office.
Corey Whiting: A Career Built on Data and Intelligence
Whiting brings 26 years of software engineering and data innovation to Procure IT. He has a Bachelor of Science and a Master of Science in Computer Science, and a career defined by turning data into insights that drive business outcomes.
He began his career at Stats Perform, where he developed algorithms and analytics from sports data sets. Building on that experience, he went on to found BaseballCloud, a platform delivering data-driven scouting and player development insights. Later, he co-founded RoyFi, a fintech company that leveraged music streaming data to accurately project music royalties and provide funding for artists, combining predictive analytics with financial impact.
“My role at Procure IT is about embedding intelligence everywhere, taking the data we have and turning it into insights that drive better, faster IT business decisions,” said Whiting. “The opportunity here is huge to turn all this data into managed intelligence so that companies can make smarter decisions at scale.”
Accelerating AI-Driven Decisions
Whiting will oversee the continued development of Procure IT’s Managed Intelligence Platform, including integration and application of the company’s AI Virtual Assistant (AVA). AVA gives enterprises instant, conversational access to insights across their entire IT stack — from usage and licenses to contracts, financials and performance metrics — shifting from static dashboards to real-time, actionable intelligence.
“Dashboards are dead,” said Whiting. “Organizations don’t want to dig through data — they want answers. Procure IT’s Managed Intelligence Platform gives them those answers instantly, in context and ready to act on.”
With Whiting leading the company’s AI strategy, Procure IT is doubling down on embedding intelligence throughout the platform, a move CIO Ben-Joseph says positions the company to be the leading Managed Intelligence Platform for Technology Advisors, Value Added Resellers (VARs) and Managed Service Providers (MSPs).
“Agentic AI is going to reshape how IT environments are managed,” said Ben-Joseph. “We’re building Procure IT’s platform to make sure enterprises are ready for that shift, helping them understand, control and optimize their data like never before.”
Our Channel-First Approach
Procure IT goes to market exclusively through a global network of technology advisors, MSPs, VARs and solution providers who use the Procure IT Managed Intelligence Platform to audit and optimize client IT environments while tapping recurring revenue opportunities through commissions, license-funded engagement models and advisory services.
With Procure IT, partners can deliver real-time intelligence across their clients’ entire IT stack — from spend and contracts to usage and performance analytics. Built-in AI insights, benchmarking and automated reporting allow partners to provide strategic, data-driven recommendations that drive cost savings, efficiency and long-term business value.
More Information
To learn more about leveraging the Procure IT Managed Intelligence Platform to simplify and optimize your company’s IT environment, visit www.procureit.com. To speak to a Procure IT procurement expert, visit www.procureit.com/contact or email [email protected].
Partners interested in learning more about becoming a Procure IT partner can contact Procure IT at [email protected].
About Procure IT
Procure IT is transforming IT decisions with its Managed Intelligence Platform by enabling companies to optimize their own data to make informed and intelligent business decisions. Our flagship AI-driven SaaS platform streamlines sourcing, spend management and vendor oversight through a single-pane-of-glass experience designed for midmarket and enterprise businesses. Procure IT goes to market exclusively through a network of technology advisors, MSPs, VARs and solution providers, empowering partners to deliver real-time intelligence and strategic insights across their business clients’ IT environments.
With core modules spanning Cloud FinOps, SaaS FinOps, Technology Expense Management, Contract Management, Supplier Insights and Supplier Analytics, the platform delivers the tools and intelligence enterprises need to manage technology spend and performance at scale. Using built-in AI, benchmarking and automated reporting, Procure IT enables partners and their clients to reduce costs, minimize risk and achieve better outcomes across the entire IT lifecycle. For more information, visit www.procureit.com or engage with us on LinkedIn.
Media Contact
Randy Jeter, Procure IT, 1 949.245.2978, [email protected], www.procureit.com
Khali Henderson, BuzzTheory (for Procure IT), 1 480.848.6726, [email protected], www.buzztheory.com
SOURCE Procure IT
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