인공지능 단말기 시장 : 구성요소 유형, 기술, 최종사용자 산업, 전개 방식, 용도별 - 세계 예측(2025-2030년)

The Artificial Intelligence Terminal Market was valued at USD 18.45 billion in 2023, expected to reach USD 20.33 billion in 2024, and is projected to grow at a CAGR of 9.49%, to USD 34.82 billion by 2030.

The Artificial Intelligence (AI) Terminal market encapsulates a wide range of components and solutions that enable enhanced decision-making, advanced data processing, and automation across various industries. As AI technologies continue to mature, the necessity of AI Terminals becomes evident in sectors like finance, healthcare, logistics, and more, where real-time data analysis and automation are critical drivers of efficiency and innovation. The key applications focus on data analytics, predictive maintenance, natural language processing, and smarter business operations. Enterprises are increasingly deploying AI Terminals to accelerate digital transformation efforts, streamline operations, and enhance customer experiences. Market growth is predominantly driven by the rising adoption of AI across industries, advances in machine learning algorithms, and seamless integration capabilities with existing digital infrastructure. The latest opportunities lie in developing industry-specific AI solutions and tapping into expanding markets like AI in IoT systems and autonomous decision-making applications. Nevertheless, the AI Terminal market faces limitations such as high initial investment costs, data privacy concerns, inadequate infrastructure in developing regions, and a shortage of skilled professionals. Challenges also exist in creating interoperable systems and ensuring reliable data security. Opportunities for innovation reside particularly in the areas of AI explainability, enhancing AI hardware for efficiency, and creating adaptive algorithms that can cater to the unique needs of various industries. Furthermore, refining user interfaces and enabling easier adoption for non-tech-savvy markets could prove promising. Overall, the market is characterized by rapid technological advancements and continuously evolving regulations, underscoring the volatility and dynamism that define the competitive landscape. Specific recommendations for capturing market potential include fostering partnerships to drive integrated solutions, focusing on cybersecurity, and pursuing strategic collaborations to enhance R&D capabilities, thereby staying ahead in this burgeoning field.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence Terminal Market

The Artificial Intelligence Terminal Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Increasing adoption of artificial intelligence terminal in various industries to enhance operational efficiency and decision-making processes
  • Growing investment in artificial intelligence research and development activities by leading tech companies and governments worldwide
  • Rising demand for advanced artificial intelligence-powered applications and solutions in the healthcare, automotive, and finance sectors
  • Surge in the integration of artificial intelligence with emerging technologies such as IoT, blockchain, and edge computing
• Market Restraints
  • Ethical concerns and public apprehension regarding AI usage in sensitive sectors
  • Lack of skilled workforce to develop, implement, and maintain advanced AI terminal systems
• Market Opportunities
  • Adoption of AI-driven terminals in enhancing port efficiency and logistics management
  • Impact of AI terminals on reducing operational costs for industrial manufacturing units
  • Integration of AI terminals in healthcare facilities to improve patient management and service delivery
• Market Challenges
  • Integration challenges with existing legacy systems for AI terminals in various enterprise applications
  • Data privacy and security concerns for AI-powered terminals in consumer and business settings

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence Terminal Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence Terminal Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence Terminal Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence Terminal Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence Terminal Market

A detailed market share analysis in the Artificial Intelligence Terminal Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence Terminal Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence Terminal Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence Terminal Market

A strategic analysis of the Artificial Intelligence Terminal Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence Terminal Market, highlighting leading vendors and their innovative profiles. These include Accenture plc, Alibaba Group Holding Limited, Amazon Web Services, Inc., Apple Inc., Baidu, Inc., C3.ai, Inc., Google LLC, Hewlett Packard Enterprise Development LP, IBM, Infosys Limited, Intel Corporation, Meta Platforms, Inc., Microsoft Corporation, NVIDIA Corporation, OpenAI, Oracle Corporation, Salesforce.com, Inc., SAP SE, Siemens AG, and Tencent Holdings Ltd..

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence Terminal Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Component Type, market is studied across Hardware, Services, and Software. The Hardware is further studied across Memory Devices, Networking Devices, Processors, and Storage Devices. The Services is further studied across Managed Services and Professional Services. The Managed Services is further studied across Data Management, Network Management, and Security Management. The Professional Services is further studied across Consulting Services, Integration Services, and Support and Maintenance. The Software is further studied across AI Platforms and AI Solutions.
• Based on Technology, market is studied across Computer Vision, Machine Learning, Natural Language Processing, and Speech Recognition. The Computer Vision is further studied across Facial Recognition, Image Recognition, and Object Detection. The Machine Learning is further studied across Reinforcement Learning, Supervised Learning, and Unsupervised Learning. The Natural Language Processing is further studied across Discourse Integration, Pragmatic Analysis, and Syntax and Semantics. The Speech Recognition is further studied across Automatic Speech Recognition, Emotion Detection, and Speaker Identification.
• Based on End-User Industry, market is studied across Automotive, BFSI, Healthcare, IT and Telecommunication, Manufacturing, and Retail. The Automotive is further studied across Autonomous Vehicles, Driver Assistance Systems, and In-Vehicle Experience. The BFSI is further studied across Customer Service, Fraud Detection, and Risk Management. The Healthcare is further studied across Drug Discovery, Medical Imaging, and Patient Management. The IT and Telecommunication is further studied across Customer Analytics, Network Optimization, and Service Automation. The Manufacturing is further studied across Predictive Maintenance, Process Automation, and Quality Control. The Retail is further studied across Customer Behavior Analysis, Inventory Management, and Personalized Recommendations.
• Based on Deployment Mode, market is studied across Cloud and On-Premise.
• Based on Application, market is studied across Business Intelligence, Customer Service and Support, Human Resources, Predictive Analytics, and Supply Chain Management. The Business Intelligence is further studied across Data Mining, Performance Management, and Reporting and Querying. The Customer Service and Support is further studied across Chatbots, Customer Feedback Analysis, and Helpdesk Automation. The Human Resources is further studied across Analytics, Employee Engagement, and Recruitment. The Predictive Analytics is further studied across Financial Forecasting, Healthcare Diagnosis, and Risk Assessment. The Supply Chain Management is further studied across Inventory Forecasting, Logistics Optimization, and Supplier Relationship Management.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Increasing adoption of artificial intelligence terminal in various industries to enhance operational efficiency and decision-making processes
    • 5.1.1.2. Growing investment in artificial intelligence research and development activities by leading tech companies and governments worldwide
    • 5.1.1.3. Rising demand for advanced artificial intelligence-powered applications and solutions in the healthcare, automotive, and finance sectors
    • 5.1.1.4. Surge in the integration of artificial intelligence with emerging technologies such as IoT, blockchain, and edge computing
  • 5.1.2. Restraints
    • 5.1.2.1. Ethical concerns and public apprehension regarding AI usage in sensitive sectors
    • 5.1.2.2. Lack of skilled workforce to develop, implement, and maintain advanced AI terminal systems
  • 5.1.3. Opportunities
    • 5.1.3.1. Adoption of AI-driven terminals in enhancing port efficiency and logistics management
    • 5.1.3.2. Impact of AI terminals on reducing operational costs for industrial manufacturing units
    • 5.1.3.3. Integration of AI terminals in healthcare facilities to improve patient management and service delivery
  • 5.1.4. Challenges
    • 5.1.4.1. Integration challenges with existing legacy systems for AI terminals in various enterprise applications
    • 5.1.4.2. Data privacy and security concerns for AI-powered terminals in consumer and business settings
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Artificial Intelligence Terminal Market, by Component Type

• 6.1. Introduction
• 6.2. Hardware
  • 6.2.1. Memory Devices
  • 6.2.2. Networking Devices
  • 6.2.3. Processors
  • 6.2.4. Storage Devices
• 6.3. Services
  • 6.3.1. Managed Services
    • 6.3.1.1. Data Management
    • 6.3.1.2. Network Management
    • 6.3.1.3. Security Management
  • 6.3.2. Professional Services
    • 6.3.2.1. Consulting Services
    • 6.3.2.2. Integration Services
    • 6.3.2.3. Support and Maintenance
• 6.4. Software
  • 6.4.1. AI Platforms
  • 6.4.2. AI Solutions

7. Artificial Intelligence Terminal Market, by Technology

• 7.1. Introduction
• 7.2. Computer Vision
  • 7.2.1. Facial Recognition
  • 7.2.2. Image Recognition
  • 7.2.3. Object Detection
• 7.3. Machine Learning
  • 7.3.1. Reinforcement Learning
  • 7.3.2. Supervised Learning
  • 7.3.3. Unsupervised Learning
• 7.4. Natural Language Processing
  • 7.4.1. Discourse Integration
  • 7.4.2. Pragmatic Analysis
  • 7.4.3. Syntax and Semantics
• 7.5. Speech Recognition
  • 7.5.1. Automatic Speech Recognition
  • 7.5.2. Emotion Detection
  • 7.5.3. Speaker Identification

8. Artificial Intelligence Terminal Market, by End-User Industry

• 8.1. Introduction
• 8.2. Automotive
  • 8.2.1. Autonomous Vehicles
  • 8.2.2. Driver Assistance Systems
  • 8.2.3. In-Vehicle Experience
• 8.3. BFSI
  • 8.3.1. Customer Service
  • 8.3.2. Fraud Detection
  • 8.3.3. Risk Management
• 8.4. Healthcare
  • 8.4.1. Drug Discovery
  • 8.4.2. Medical Imaging
  • 8.4.3. Patient Management
• 8.5. IT and Telecommunication
  • 8.5.1. Customer Analytics
  • 8.5.2. Network Optimization
  • 8.5.3. Service Automation
• 8.6. Manufacturing
  • 8.6.1. Predictive Maintenance
  • 8.6.2. Process Automation
  • 8.6.3. Quality Control
• 8.7. Retail
  • 8.7.1. Customer Behavior Analysis
  • 8.7.2. Inventory Management
  • 8.7.3. Personalized Recommendations

9. Artificial Intelligence Terminal Market, by Deployment Mode

• 9.1. Introduction
• 9.2. Cloud
• 9.3. On-Premise

10. Artificial Intelligence Terminal Market, by Application

• 10.1. Introduction
• 10.2. Business Intelligence
  • 10.2.1. Data Mining
  • 10.2.2. Performance Management
  • 10.2.3. Reporting and Querying
• 10.3. Customer Service and Support
  • 10.3.1. Chatbots
  • 10.3.2. Customer Feedback Analysis
  • 10.3.3. Helpdesk Automation
• 10.4. Human Resources
  • 10.4.1. Analytics
  • 10.4.2. Employee Engagement
  • 10.4.3. Recruitment
• 10.5. Predictive Analytics
  • 10.5.1. Financial Forecasting
  • 10.5.2. Healthcare Diagnosis
  • 10.5.3. Risk Assessment
• 10.6. Supply Chain Management
  • 10.6.1. Inventory Forecasting
  • 10.6.2. Logistics Optimization
  • 10.6.3. Supplier Relationship Management

11. Americas Artificial Intelligence Terminal Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific Artificial Intelligence Terminal Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa Artificial Intelligence Terminal Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2023
• 14.2. FPNV Positioning Matrix, 2023
• 14.3. Competitive Scenario Analysis
• 14.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Accenture plc
• 2. Alibaba Group Holding Limited
• 3. Amazon Web Services, Inc.
• 4. Apple Inc.
• 5. Baidu, Inc.
• 6. C3.ai, Inc.
• 7. Google LLC
• 8. Hewlett Packard Enterprise Development LP
• 9. IBM
• 10. Infosys Limited
• 11. Intel Corporation
• 12. Meta Platforms, Inc.
• 13. Microsoft Corporation
• 14. NVIDIA Corporation
• 15. OpenAI
• 16. Oracle Corporation
• 17. Salesforce.com, Inc.
• 18. SAP SE
• 19. Siemens AG
• 20. Tencent Holdings Ltd.