세계의 AI 앱 시장 규모, 점유율, 동향 분석 보고서 : 기능별, 최종 용도별, 지역별 전망 및 예측(2025-2032년)

The Global AI Apps Market size is expected to reach $43.85 billion by 2032, rising at a market growth of 39.1% CAGR during the forecast period.

The North America segment recorded 34% revenue share in the market in 2024. The strong presence of leading AI companies, advanced digital infrastructure, and high levels of investment in AI research and development supports it. The region's well-established technology ecosystem, particularly in the U.S. and Canada, has fostered the rapid integration of AI applications across various industries, including healthcare, finance, manufacturing, and retail.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In March, 2025, Oracle Corporation and NVIDIA partnered to accelerate agentic AI app development by integrating NVIDIA AI tools with Oracle Cloud Infrastructure. The collaboration enables no-code deployment, real-time inference, and advanced AI search, supporting enterprise-scale AI applications across industries with enhanced performance and flexibility. Additionally, In September, 2024, Salesforce, Inc. and IBM have partnered to integrate Salesforce's Agentforce autonomous AI agents with IBM's watsonx platform. This collaboration enhances business automation, decision-making, and productivity by enabling organizations, especially in regulated industries-to build and deploy tailored AI agents using enterprise data. These solutions exemplify the evolution and expansion of AI applications across industries.

KBV Cardinal Matrix - AI Apps Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation, Google LLC, NVIDIA Corporation and Amazon Web Services, Inc. are the forerunners in the AI Apps Market. In January, 2025, Microsoft Corporation and OpenAI extended their partnership through 2030, maintaining API exclusivity on Azure, sharing revenue, and integrating OpenAI models into Microsoft products like Copilot. A new Azure commitment supports OpenAI's research, strengthening both companies' roles in the AI Apps Market. Companies such as Oracle Corporation and Salesforce, Inc. are some of the key innovators in this Market.

Source: KBV Reseaarch and Secondary Research Analysis

Driving and Restraining Factors

Drivers * Smartphone and Device Growth Expanding Access to AI Apps

• Rising Tech and Startup Investments Driving AI App Innovation
• Digital Transformation and Cloud Adoption Enabling Scalable AI Deployment

Restraints * High Development Costs and Complexity in Scaling AI Applications for Real-World Use

• Concerns Over Data Privacy, Security, and Ethical Use of AI Technologies Limiting Adoption

Opportunities * Rise of Low-Code and No-Code Platforms Simplifying AI App Development

• Government Support and Initiatives Encouraging AI Innovation and Application Across Sectors

Challenges * Constantly Evolving Technology Requiring Continuous Updates and Retraining of AI Applications

• Integration Difficulties with Legacy Infrastructure in Traditional Industries and Enterprises

Market Growth Factors

The explosive growth of smartphones and connected devices has redefined how users interact with digital platforms. With billions of active mobile users worldwide, AI apps have a ready and ever-expanding audience. From Android to iOS, app developers embed AI features like real-time language translation, intelligent photo sorting, and personalized recommendations, making AI an everyday user experience. Hence, smartphone and device growth and expanding access to AI apps are driving the market's growth.

Additionally, Venture capital and institutional investments in AI-focused startups are accelerating the development of next-generation applications. These funding rounds provide startups with the resources to hire specialized talent, access premium datasets, and experiment with cutting-edge algorithms. As a result, the AI app landscape is experiencing rapid evolution in capability and user experience. In conclusion, rising tech and startup investments driving AI app innovation propel the market's growth.

Market Restraining Factors

Developing AI applications that function effectively in real-world environments is technically challenging and financially demanding. Building AI models requires significant investment in talent-such as data scientists, machine learning engineers, and domain experts-who are often in short supply and command high salaries. Additionally, the process involves sourcing and labelling vast amounts of high-quality data, essential for training accurate and reliable models. Hence, high development costs and complexity in scaling AI applications for real-world use are hindering the market's growth.

Functionality Outlook

Based on functionality, the market is characterized into natural language processing (NLP)s, computer vision, robotics & automation, predictive analytics & machine learning, and others. The computer vision segment procured 28% revenue share in the market in 2024. This is fuelled by the growing implementation of AI in image and video analysis. Computer vision technology empowers applications to recognize patterns, objects, and movements in visual data, enabling facial recognition, surveillance, quality control, and medical imaging automation.

End-use Outlook

By end-use, the market is divided into IT & telecommunications, BFSI, energy & utilities, retail & e-commerce, entertainment, automotive, manufacturing, finance, and others. The BFSI segment garnered 16% revenue share in the market in 2024. Owing to the increasing adoption of AI for risk assessment, fraud detection, customer support, and automated financial advisory. AI-powered chatbots and virtual assistants are helping banks and financial institutions improve customer engagement and operational efficiency.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Europe segment witnessed 32% revenue share in the market in 2024. This is driven by growing investments in digital transformation and the adoption of AI across key sectors such as automotive, healthcare, and manufacturing. European countries actively support AI innovation through strategic policies, funding programs, and cross-border collaborations.

The AI apps market sees intensified competition among emerging startups and mid-sized firms. Innovation thrives as companies explore niche applications and unique value propositions. The absence of dominant forces allows newer entrants to gain visibility, attract investments, and rapidly scale. This democratized landscape fosters experimentation, agility, and a broader diversity of AI-driven solutions.

AI Apps Market Coverage:

Report Attribute Details

Market size value in 2024 USD 3.24 Billion

Market size forecast in 2032 USD 43.85 Billion

Base Year 2024

Historical period 2021 to 2023

Forecast Period 2025 to 2032

Revenue Growth Rate CAGR of 39.1% from 2025 to 2032

Number of Pages 276

Tables 343

Report Coverage Market Trends, Revenue Estimation and Forecast, Segmentation Analysis, Regional and Country Breakdown, Competitive Landscape, Porter's 5 Forces Analysis, Company Profiling, Companies Strategic Developments, SWOT Analysis, Winning Imperatives

Segments Covered Functionality, End-use, Region

Country Scope * North America (US, Canada, Mexico, and Rest of North America)

• Europe (Germany, UK, France, Russia, Spain, Italy, and Rest of Europe)
• Asia Pacific (Japan, China, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific)
• LAMEA (Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA)

Companies Included IBM Corporation, DataRobot, Inc., Salesforce, Inc., Google LLC (Alphabet Inc.), OpenAI, LLC, Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), NVIDIA Corporation, Oracle Corporation, Adobe, Inc.

Recent Strategies Deployed in the Market

• Apr-2025: NVIDIA Corporation has completed its acquisition of AI startup Lepton AI, which provides cloud-based GPU services. The deal strengthens NVIDIA's position in the AI applications market. Lepton's co-founders, Yangqing Jia and Junjie Bai, will continue with the company post-acquisition.
• Mar-2025: Adobe, Inc. launched AI-driven innovations for Customer Experience Orchestration, including the Experience Platform Agent Orchestrator, GenStudio enhancements, and expanded Firefly integration. Strategic partnerships and AI agents enable scalable personalization, boosting marketing, content, and enterprise workflows.
• Mar-2025: DataRobot, Inc. launched AI application suites for finance and supply chain operations integrated with SAP. These pre-built, customizable apps enable rapid AI adoption, real-time insights, and optimized workflows, helping businesses enhance forecasting, reduce risks, and improve operational efficiency across SAP environments.
• Mar-2025: NVIDIA Corporation expands its Omniverse Physical AI OS with new blueprints and integrations, enabling industrial partners to build AI apps for robotics, manufacturing, and digital twins. Companies like GM, SAP, and Foxconn adopt it to drive large-scale AI application development.
• Feb-2025: DataRobot, Inc. acquired Agnostiq to boost agentic AI application development and simplify compute orchestration across hybrid environments. Integrating Agnostiq's Covalent platform enables scalable, efficient AI deployments, reducing complexity and costs while enhancing performance, targeting growth in the enterprise AI applications market.

List of Key Companies Profiled

• IBM Corporation
• DataRobot, Inc.
• Salesforce, Inc.
• Google LLC (Alphabet Inc.)
• OpenAI, LLC
• Microsoft Corporation
• Amazon Web Services, Inc. (Amazon.com, Inc.)
• NVIDIA Corporation
• Oracle Corporation
• Adobe, Inc.

Global AI Apps Market Report Segmentation

By Functionality

• Natural Language Processing (NLP)s
• Computer Vision
• Robotics & Automation
• Predictive Analytics and Machine Learning
• Other Functionality

By End-use

• IT & Telecommunications
• BFSI
• Retail & E-commerce
• Energy & Utilities
• Entertainment
• Automotive
• Manufacturing
• Finance (Excluding BFSI)
• Other End-use

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
• Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

• 1.1 Market Definition
• 1.2 Objectives
• 1.3 Market Scope
• 1.4 Segmentation
  • 1.4.1 Global AI Apps Market, by Functionality
  • 1.4.2 Global AI Apps Market, by End-use
  • 1.4.3 Global AI Apps Market, by Geography
• 1.5 Methodology for the research

Chapter 2. Market at a Glance

• 2.1 Key Highlights

Chapter 3. Market Overview

• 3.1 Introduction
  • 3.1.1 Overview
    • 3.1.1.1 Market Composition and Scenario
• 3.2 Key Factors Impacting the Market
  • 3.2.1 Market Drivers
  • 3.2.2 Market Restraints
  • 3.2.3 Market Opportunities
  • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

• 4.1 KBV Cardinal Matrix
• 4.2 Recent Industry Wide Strategic Developments
  • 4.2.1 Partnerships, Collaborations and Agreements
  • 4.2.2 Product Launches and Product Expansions
  • 4.2.3 Acquisition and Mergers
• 4.3 Top Winning Strategies
  • 4.3.1 Key Leading Strategies: Percentage Distribution (2021-2025)
  • 4.3.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2023, Nov - 2025, Mar) Leading Players
• 4.4 Porter Five Forces Analysis

Chapter 5. Global AI Apps Market by Functionality

• 5.1 Global Natural Language Processing (NLP)s Market by Region
• 5.2 Global Computer Vision Market by Region
• 5.3 Global Robotics & Automation Market by Region
• 5.4 Global Predictive Analytics and Machine Learning Market by Region
• 5.5 Global Other Functionality Market by Region

Chapter 6. Global AI Apps Market by End-use

• 6.1 Global IT & Telecommunications Market by Region
• 6.2 Global BFSI Market by Region
• 6.3 Global Retail & E-commerce Market by Region
• 6.4 Global Energy & Utilities Market by Region
• 6.5 Global Entertainment Market by Region
• 6.6 Global Automotive Market by Region
• 6.7 Global Manufacturing Market by Region
• 6.8 Global Finance (Excluding BFSI) Market by Region
• 6.9 Global Other End-use Market by Region

Chapter 7. Global AI Apps Market by Region

• 7.1 North America AI Apps Market
  • 7.1.1 North America AI Apps Market by Functionality
    • 7.1.1.1 North America Natural Language Processing (NLP)s Market by Country
    • 7.1.1.2 North America Computer Vision Market by Country
    • 7.1.1.3 North America Robotics & Automation Market by Country
    • 7.1.1.4 North America Predictive Analytics and Machine Learning Market by Country
    • 7.1.1.5 North America Other Functionality Market by Country
  • 7.1.2 North America AI Apps Market by End-use
    • 7.1.2.1 North America IT & Telecommunications Market by Country
    • 7.1.2.2 North America BFSI Market by Country
    • 7.1.2.3 North America Retail & E-commerce Market by Country
    • 7.1.2.4 North America Energy & Utilities Market by Country
    • 7.1.2.5 North America Entertainment Market by Country
    • 7.1.2.6 North America Automotive Market by Country
    • 7.1.2.7 North America Manufacturing Market by Country
    • 7.1.2.8 North America Finance (Excluding BFSI) Market by Country
    • 7.1.2.9 North America Other End-use Market by Country
  • 7.1.3 North America AI Apps Market by Country
    • 7.1.3.1 US AI Apps Market
      • 7.1.3.1.1 US AI Apps Market by Functionality
      • 7.1.3.1.2 US AI Apps Market by End-use
    • 7.1.3.2 Canada AI Apps Market
      • 7.1.3.2.1 Canada AI Apps Market by Functionality
      • 7.1.3.2.2 Canada AI Apps Market by End-use
    • 7.1.3.3 Mexico AI Apps Market
      • 7.1.3.3.1 Mexico AI Apps Market by Functionality
      • 7.1.3.3.2 Mexico AI Apps Market by End-use
    • 7.1.3.4 Rest of North America AI Apps Market
      • 7.1.3.4.1 Rest of North America AI Apps Market by Functionality
      • 7.1.3.4.2 Rest of North America AI Apps Market by End-use
• 7.2 Europe AI Apps Market
  • 7.2.1 Europe AI Apps Market by Functionality
    • 7.2.1.1 Europe Natural Language Processing (NLP)s Market by Country
    • 7.2.1.2 Europe Computer Vision Market by Country
    • 7.2.1.3 Europe Robotics & Automation Market by Country
    • 7.2.1.4 Europe Predictive Analytics and Machine Learning Market by Country
    • 7.2.1.5 Europe Other Functionality Market by Country
  • 7.2.2 Europe AI Apps Market by End-use
    • 7.2.2.1 Europe IT & Telecommunications Market by Country
    • 7.2.2.2 Europe BFSI Market by Country
    • 7.2.2.3 Europe Retail & E-commerce Market by Country
    • 7.2.2.4 Europe Energy & Utilities Market by Country
    • 7.2.2.5 Europe Entertainment Market by Country
    • 7.2.2.6 Europe Automotive Market by Country
    • 7.2.2.7 Europe Manufacturing Market by Country
    • 7.2.2.8 Europe Finance (Excluding BFSI) Market by Country
    • 7.2.2.9 Europe Other End-use Market by Country
  • 7.2.3 Europe AI Apps Market by Country
    • 7.2.3.1 Germany AI Apps Market
      • 7.2.3.1.1 Germany AI Apps Market by Functionality
      • 7.2.3.1.2 Germany AI Apps Market by End-use
    • 7.2.3.2 UK AI Apps Market
      • 7.2.3.2.1 UK AI Apps Market by Functionality
      • 7.2.3.2.2 UK AI Apps Market by End-use
    • 7.2.3.3 France AI Apps Market
      • 7.2.3.3.1 France AI Apps Market by Functionality
      • 7.2.3.3.2 France AI Apps Market by End-use
    • 7.2.3.4 Russia AI Apps Market
      • 7.2.3.4.1 Russia AI Apps Market by Functionality
      • 7.2.3.4.2 Russia AI Apps Market by End-use
    • 7.2.3.5 Spain AI Apps Market
      • 7.2.3.5.1 Spain AI Apps Market by Functionality
      • 7.2.3.5.2 Spain AI Apps Market by End-use
    • 7.2.3.6 Italy AI Apps Market
      • 7.2.3.6.1 Italy AI Apps Market by Functionality
      • 7.2.3.6.2 Italy AI Apps Market by End-use
    • 7.2.3.7 Rest of Europe AI Apps Market
      • 7.2.3.7.1 Rest of Europe AI Apps Market by Functionality
      • 7.2.3.7.2 Rest of Europe AI Apps Market by End-use
• 7.3 Asia Pacific AI Apps Market
  • 7.3.1 Asia Pacific AI Apps Market by Functionality
    • 7.3.1.1 Asia Pacific Natural Language Processing (NLP)s Market by Country
    • 7.3.1.2 Asia Pacific Computer Vision Market by Country
    • 7.3.1.3 Asia Pacific Robotics & Automation Market by Country
    • 7.3.1.4 Asia Pacific Predictive Analytics and Machine Learning Market by Country
    • 7.3.1.5 Asia Pacific Other Functionality Market by Country
  • 7.3.2 Asia Pacific AI Apps Market by End-use
    • 7.3.2.1 Asia Pacific IT & Telecommunications Market by Country
    • 7.3.2.2 Asia Pacific BFSI Market by Country
    • 7.3.2.3 Asia Pacific Retail & E-commerce Market by Country
    • 7.3.2.4 Asia Pacific Energy & Utilities Market by Country
    • 7.3.2.5 Asia Pacific Entertainment Market by Country
    • 7.3.2.6 Asia Pacific Automotive Market by Country
    • 7.3.2.7 Asia Pacific Manufacturing Market by Country
    • 7.3.2.8 Asia Pacific Finance (Excluding BFSI) Market by Country
    • 7.3.2.9 Asia Pacific Other End-use Market by Country
  • 7.3.3 Asia Pacific AI Apps Market by Country
    • 7.3.3.1 China AI Apps Market
      • 7.3.3.1.1 China AI Apps Market by Functionality
      • 7.3.3.1.2 China AI Apps Market by End-use
    • 7.3.3.2 Japan AI Apps Market
      • 7.3.3.2.1 Japan AI Apps Market by Functionality
      • 7.3.3.2.2 Japan AI Apps Market by End-use
    • 7.3.3.3 India AI Apps Market
      • 7.3.3.3.1 India AI Apps Market by Functionality
      • 7.3.3.3.2 India AI Apps Market by End-use
    • 7.3.3.4 South Korea AI Apps Market
      • 7.3.3.4.1 South Korea AI Apps Market by Functionality
      • 7.3.3.4.2 South Korea AI Apps Market by End-use
    • 7.3.3.5 Singapore AI Apps Market
      • 7.3.3.5.1 Singapore AI Apps Market by Functionality
      • 7.3.3.5.2 Singapore AI Apps Market by End-use
    • 7.3.3.6 Malaysia AI Apps Market
      • 7.3.3.6.1 Malaysia AI Apps Market by Functionality
      • 7.3.3.6.2 Malaysia AI Apps Market by End-use
    • 7.3.3.7 Rest of Asia Pacific AI Apps Market
      • 7.3.3.7.1 Rest of Asia Pacific AI Apps Market by Functionality
      • 7.3.3.7.2 Rest of Asia Pacific AI Apps Market by End-use
• 7.4 LAMEA AI Apps Market
  • 7.4.1 LAMEA AI Apps Market by Functionality
    • 7.4.1.1 LAMEA Natural Language Processing (NLP)s Market by Country
    • 7.4.1.2 LAMEA Computer Vision Market by Country
    • 7.4.1.3 LAMEA Robotics & Automation Market by Country
    • 7.4.1.4 LAMEA Predictive Analytics and Machine Learning Market by Country
    • 7.4.1.5 LAMEA Other Functionality Market by Country
  • 7.4.2 LAMEA AI Apps Market by End-use
    • 7.4.2.1 LAMEA IT & Telecommunications Market by Country
    • 7.4.2.2 LAMEA BFSI Market by Country
    • 7.4.2.3 LAMEA Retail & E-commerce Market by Country
    • 7.4.2.4 LAMEA Energy & Utilities Market by Country
    • 7.4.2.5 LAMEA Entertainment Market by Country
    • 7.4.2.6 LAMEA Automotive Market by Country
    • 7.4.2.7 LAMEA Manufacturing Market by Country
    • 7.4.2.8 LAMEA Finance (Excluding BFSI) Market by Country
    • 7.4.2.9 LAMEA Other End-use Market by Country
  • 7.4.3 LAMEA AI Apps Market by Country
    • 7.4.3.1 Brazil AI Apps Market
      • 7.4.3.1.1 Brazil AI Apps Market by Functionality
      • 7.4.3.1.2 Brazil AI Apps Market by End-use
    • 7.4.3.2 Argentina AI Apps Market
      • 7.4.3.2.1 Argentina AI Apps Market by Functionality
      • 7.4.3.2.2 Argentina AI Apps Market by End-use
    • 7.4.3.3 UAE AI Apps Market
      • 7.4.3.3.1 UAE AI Apps Market by Functionality
      • 7.4.3.3.2 UAE AI Apps Market by End-use
    • 7.4.3.4 Saudi Arabia AI Apps Market
      • 7.4.3.4.1 Saudi Arabia AI Apps Market by Functionality
      • 7.4.3.4.2 Saudi Arabia AI Apps Market by End-use
    • 7.4.3.5 South Africa AI Apps Market
      • 7.4.3.5.1 South Africa AI Apps Market by Functionality
      • 7.4.3.5.2 South Africa AI Apps Market by End-use
    • 7.4.3.6 Nigeria AI Apps Market
      • 7.4.3.6.1 Nigeria AI Apps Market by Functionality
      • 7.4.3.6.2 Nigeria AI Apps Market by End-use
    • 7.4.3.7 Rest of LAMEA AI Apps Market
      • 7.4.3.7.1 Rest of LAMEA AI Apps Market by Functionality
      • 7.4.3.7.2 Rest of LAMEA AI Apps Market by End-use

Chapter 8. Company Profiles

• 8.1 IBM Corporation
  • 8.1.1 Company Overview
  • 8.1.2 Financial Analysis
  • 8.1.3 Regional & Segmental Analysis
  • 8.1.4 Research & Development Expenses
  • 8.1.5 Recent strategies and developments:
    • 8.1.5.1 Partnerships, Collaborations, and Agreements:
    • 8.1.5.2 Acquisition and Mergers:
  • 8.1.6 SWOT Analysis
• 8.2 DataRobot, Inc.
  • 8.2.1 Company Overview
  • 8.2.2 Recent strategies and developments:
    • 8.2.2.1 Partnerships, Collaborations, and Agreements:
    • 8.2.2.2 Product Launches and Product Expansions:
    • 8.2.2.3 Acquisition and Mergers:
  • 8.2.3 SWOT Analysis
• 8.3 Salesforce, Inc.
  • 8.3.1 Company Overview
  • 8.3.2 Financial Analysis
  • 8.3.3 Regional Analysis
  • 8.3.4 Research & Development Expenses
  • 8.3.5 Recent strategies and developments:
    • 8.3.5.1 Partnerships, Collaborations, and Agreements:
    • 8.3.5.2 Product Launches and Product Expansions:
  • 8.3.6 SWOT Analysis
• 8.4 Google LLC (Alphabet Inc.)
  • 8.4.1 Company Overview
  • 8.4.2 Financial Analysis
  • 8.4.3 Segmental and Regional Analysis
  • 8.4.4 Research & Development Expenses
  • 8.4.5 Recent strategies and developments:
    • 8.4.5.1 Partnerships, Collaborations, and Agreements:
  • 8.4.6 SWOT Analysis
• 8.5 OpenAI, L.L.C.
  • 8.5.1 Company Overview
  • 8.5.2 Recent strategies and developments:
    • 8.5.2.1 Partnerships, Collaborations, and Agreements:
  • 8.5.3 SWOT Analysis
• 8.6 Microsoft Corporation
  • 8.6.1 Company Overview
  • 8.6.2 Financial Analysis
  • 8.6.3 Segmental and Regional Analysis
  • 8.6.4 Research & Development Expenses
  • 8.6.5 Recent strategies and developments:
    • 8.6.5.1 Partnerships, Collaborations, and Agreements:
    • 8.6.5.2 Acquisition and Mergers:
  • 8.6.6 SWOT Analysis
• 8.7 Amazon Web Services, Inc. (Amazon.com, Inc.)
  • 8.7.1 Company Overview
  • 8.7.2 Financial Analysis
  • 8.7.3 Segmental and Regional Analysis
  • 8.7.4 Recent strategies and developments:
    • 8.7.4.1 Partnerships, Collaborations, and Agreements:
    • 8.7.4.2 Product Launches and Product Expansions:
  • 8.7.5 SWOT Analysis
• 8.8 NVIDIA Corporation
  • 8.8.1 Company Overview
  • 8.8.2 Financial Analysis
  • 8.8.3 Segmental and Regional Analysis
  • 8.8.4 Research & Development Expenses
  • 8.8.5 Recent strategies and developments:
    • 8.8.5.1 Partnerships, Collaborations, and Agreements:
    • 8.8.5.2 Acquisition and Mergers:
  • 8.8.6 SWOT Analysis
• 8.9 Oracle Corporation
  • 8.9.1 Company Overview
  • 8.9.2 Financial Analysis
  • 8.9.3 Segmental and Regional Analysis
  • 8.9.4 Research & Development Expense
  • 8.9.5 Recent strategies and developments:
    • 8.9.5.1 Partnerships, Collaborations, and Agreements:
    • 8.9.5.2 Product Launches and Product Expansions:
  • 8.9.6 SWOT Analysis
• 8.10. Adobe, Inc.
  • 8.10.1 Company Overview
  • 8.10.2 Financial Analysis
  • 8.10.3 Segmental and Regional Analysis
  • 8.10.4 Research & Development Expense
  • 8.10.5 Recent strategies and developments:
    • 8.10.5.1 Product Launches and Product Expansions:
  • 8.10.6 SWOT Analysis

Chapter 9. Winning Imperatives of AI Apps Market