세계의 인공지능 플랫폼 시장 : 부문별 예측(2025-2030년)

The Artificial Intelligence Platforms Market was valued at USD 11.72 billion in 2023, expected to reach USD 15.49 billion in 2024, and is projected to grow at a CAGR of 32.87%, to USD 85.75 billion by 2030.

Artificial Intelligence (AI) platforms encompass a wide range of technologies and tools designed to create intelligent systems that can learn, reason, and assist in decision-making. These platforms are pivotal in sectors such as healthcare, finance, retail, and manufacturing due to their ability to enhance efficiency, reduce errors, and provide critical insights. The necessity of AI platforms arises from the growing data volumes, the need for predictive analytics, and the relentless pursuit of automation to gain competitive advantages in rapidly evolving markets. AI applications include natural language processing, computer vision, robotic process automation, and machine learning models, each addressing specific industry challenges and opportunities. Key end-use scopes are seen in personalized marketing, fraud detection, drug discovery, and supply chain optimization. Market growth is influenced by factors such as rising demand for AI-driven customer support services and the integration of AI in IoT devices. However, potential opportunities lie in developing more sophisticated AI solutions for emerging smart cities and edge AI to process data locally. Despite these opportunities, challenges such as the scarcity of AI talent, ethical considerations, data privacy issues, and high implementation costs could impede growth. Businesses are recommended to invest in modular AI solutions that offer scalability and flexibility, ensuring alignment with ongoing digital transformation strategies.Companies can innovate by enhancing AI interpretability and developing hybrid models that blend AI with existing technologies for a seamless transformation. Furthermore, AI's market nature is characterized by rapid technological evolution and robust competitive pressures, necessitating continuous learning and adaptation. To thrive, organizations should focus on building comprehensive AI ecosystems, investing in strategic partnerships, and fostering an internal culture open to AI-driven innovation, thus positioning themselves as leaders in the digital age while navigating the market's inherent complexities and challenges.

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

The Artificial Intelligence Platforms 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
  • Growing adoption of cloud-based artificial intelligence platforms for scalability and flexibility
  • Need for enhanced operational efficiency and automation in business processes
  • Integration of artificial intelligence with emerging technologies like IoT and blockchain
  • Government initiatives and funding for promoting artificial intelligence technology
• Market Restraints
  • Ethical concerns and biases in AI algorithms limiting adoption in sensitive sectors
  • Complexity in integration and interoperability with existing systems and infrastructure
• Market Opportunities
  • Expansion into emerging markets delivering AI-driven solutions for underrepresented sectors
  • Development of vertically-integrated AI models tailored to specific industry needs and compliance standards
  • Enhancement of AI user accessibility through intuitive platform design and user-friendly interfaces
• Market Challenges
  • The rapid pace of technological advancements in AI requires continuous upskilling and training of professionals
  • Data privacy and security concerns are major barriers to AI platform implementation in sensitive sectors

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

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence Platforms 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 Platforms Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence Platforms 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 Platforms Market

A detailed market share analysis in the Artificial Intelligence Platforms 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 Platforms Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence Platforms 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 Platforms Market

A strategic analysis of the Artificial Intelligence Platforms 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 Platforms Market, highlighting leading vendors and their innovative profiles. These include Accenture plc, Alibaba Group Holding Limited, Amazon Web Services, Inc., Baidu, Inc., Cognizant Technology Solutions Corporation, Fujitsu Limited, Google LLC, HCL Technologies Limited, Hewlett Packard Enterprise Company, IBM Corporation, Infosys Limited, Intel Corporation, Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Salesforce.com, Inc., SAP SE, SAS Institute Inc., Tencent Holdings Limited, and Wipro Limited.

Market Segmentation & Coverage

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

• Based on Technology, market is studied across Computer Vision, Knowledge Virtualization, Machine Learning, Natural Language Processing, and Robotic Process Automation. The Computer Vision is further studied across Image Recognition, Object Detection, and Video Analytics. The Machine Learning is further studied across Reinforcement Learning, Supervised Learning, and Unsupervised Learning. The Natural Language Processing is further studied across Machine Translation, Speech Recognition, and Text Analytics.
• Based on Deployment Mode, market is studied across Cloud Deployment and On-Premises Deployment.
• Based on Organization Size, market is studied across Large Enterprises and Small And Medium-Sized Enterprises (SMEs).
• Based on End-User, market is studied across Automotive And Transportation, BFSI, Energy And Utilities, Healthcare, IT And Telecom, Manufacturing, and Retail. The Automotive And Transportation is further studied across Autonomous Driving, Fleet Management, and Predictive Maintenance. The BFSI is further studied across Algorithmic Trading, Credit Scoring, and Fraud Detection. The Energy And Utilities is further studied across Energy Management and Predictive Maintenance. The Healthcare is further studied across Clinical Trials, Robot-Assisted Surgery, and Virtual Nursing Assistants. The IT And Telecom is further studied across Customer Service and Network Management. The Manufacturing is further studied across Predictive Maintenance, Quality Control, and Supply Chain Management. The Retail is further studied across Customer Relationship Management, Inventory Management, and Personalized Shopping Experience.
• 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. Growing adoption of cloud-based artificial intelligence platforms for scalability and flexibility
    • 5.1.1.2. Need for enhanced operational efficiency and automation in business processes
    • 5.1.1.3. Integration of artificial intelligence with emerging technologies like IoT and blockchain
    • 5.1.1.4. Government initiatives and funding for promoting artificial intelligence technology
  • 5.1.2. Restraints
    • 5.1.2.1. Ethical concerns and biases in AI algorithms limiting adoption in sensitive sectors
    • 5.1.2.2. Complexity in integration and interoperability with existing systems and infrastructure
  • 5.1.3. Opportunities
    • 5.1.3.1. Expansion into emerging markets delivering AI-driven solutions for underrepresented sectors
    • 5.1.3.2. Development of vertically-integrated AI models tailored to specific industry needs and compliance standards
    • 5.1.3.3. Enhancement of AI user accessibility through intuitive platform design and user-friendly interfaces
  • 5.1.4. Challenges
    • 5.1.4.1. The rapid pace of technological advancements in AI requires continuous upskilling and training of professionals
    • 5.1.4.2. Data privacy and security concerns are major barriers to AI platform implementation in sensitive sectors
• 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 Platforms Market, by Technology

• 6.1. Introduction
• 6.2. Computer Vision
  • 6.2.1. Image Recognition
  • 6.2.2. Object Detection
  • 6.2.3. Video Analytics
• 6.3. Knowledge Virtualization
• 6.4. Machine Learning
  • 6.4.1. Reinforcement Learning
  • 6.4.2. Supervised Learning
  • 6.4.3. Unsupervised Learning
• 6.5. Natural Language Processing
  • 6.5.1. Machine Translation
  • 6.5.2. Speech Recognition
  • 6.5.3. Text Analytics
• 6.6. Robotic Process Automation

7. Artificial Intelligence Platforms Market, by Deployment Mode

• 7.1. Introduction
• 7.2. Cloud Deployment
• 7.3. On-Premises Deployment

8. Artificial Intelligence Platforms Market, by Organization Size

• 8.1. Introduction
• 8.2. Large Enterprises
• 8.3. Small And Medium-Sized Enterprises (SMEs)

9. Artificial Intelligence Platforms Market, by End-User

• 9.1. Introduction
• 9.2. Automotive And Transportation
  • 9.2.1. Autonomous Driving
  • 9.2.2. Fleet Management
  • 9.2.3. Predictive Maintenance
• 9.3. BFSI
  • 9.3.1. Algorithmic Trading
  • 9.3.2. Credit Scoring
  • 9.3.3. Fraud Detection
• 9.4. Energy And Utilities
  • 9.4.1. Energy Management
  • 9.4.2. Predictive Maintenance
• 9.5. Healthcare
  • 9.5.1. Clinical Trials
  • 9.5.2. Robot-Assisted Surgery
  • 9.5.3. Virtual Nursing Assistants
• 9.6. IT And Telecom
  • 9.6.1. Customer Service
  • 9.6.2. Network Management
• 9.7. Manufacturing
  • 9.7.1. Predictive Maintenance
  • 9.7.2. Quality Control
  • 9.7.3. Supply Chain Management
• 9.8. Retail
  • 9.8.1. Customer Relationship Management
  • 9.8.2. Inventory Management
  • 9.8.3. Personalized Shopping Experience

10. Americas Artificial Intelligence Platforms Market

• 10.1. Introduction
• 10.2. Argentina
• 10.3. Brazil
• 10.4. Canada
• 10.5. Mexico
• 10.6. United States

11. Asia-Pacific Artificial Intelligence Platforms Market

• 11.1. Introduction
• 11.2. Australia
• 11.3. China
• 11.4. India
• 11.5. Indonesia
• 11.6. Japan
• 11.7. Malaysia
• 11.8. Philippines
• 11.9. Singapore
• 11.10. South Korea
• 11.11. Taiwan
• 11.12. Thailand
• 11.13. Vietnam

12. Europe, Middle East & Africa Artificial Intelligence Platforms Market

• 12.1. Introduction
• 12.2. Denmark
• 12.3. Egypt
• 12.4. Finland
• 12.5. France
• 12.6. Germany
• 12.7. Israel
• 12.8. Italy
• 12.9. Netherlands
• 12.10. Nigeria
• 12.11. Norway
• 12.12. Poland
• 12.13. Qatar
• 12.14. Russia
• 12.15. Saudi Arabia
• 12.16. South Africa
• 12.17. Spain
• 12.18. Sweden
• 12.19. Switzerland
• 12.20. Turkey
• 12.21. United Arab Emirates
• 12.22. United Kingdom

13. Competitive Landscape

• 13.1. Market Share Analysis, 2023
• 13.2. FPNV Positioning Matrix, 2023
• 13.3. Competitive Scenario Analysis
• 13.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Accenture plc
• 2. Alibaba Group Holding Limited
• 3. Amazon Web Services, Inc.
• 4. Baidu, Inc.
• 5. Cognizant Technology Solutions Corporation
• 6. Fujitsu Limited
• 7. Google LLC
• 8. HCL Technologies Limited
• 9. Hewlett Packard Enterprise Company
• 10. IBM Corporation
• 11. Infosys Limited
• 12. Intel Corporation
• 13. Microsoft Corporation
• 14. NVIDIA Corporation
• 15. Oracle Corporation
• 16. Salesforce.com, Inc.
• 17. SAP SE
• 18. SAS Institute Inc.
• 19. Tencent Holdings Limited
• 20. Wipro Limited