Product Code: GVR-1-68038-955-5
Artificial Intelligence Market Growth & Trends:
The global artificial intelligence market size is expected to reach USD 1,811.75 billion in 2030 and is projected to grow at a CAGR of 35.9% from 2025 to 2030, according to a new report by Grand View Research, Inc. Artificial Intelligence (AI) denotes the concept and development of computing systems capable of performing tasks customarily requiring human assistance, such as decision-making, speech recognition, visual perception, and language translation. AI uses algorithms to understand human speech, visually recognize objects, and process information. These algorithms are used for data processing, calculation, and automated reasoning. Artificial intelligence researchers continuously improve algorithms for various aspects, as conventional algorithms have drawbacks regarding accuracy and efficiency.
These advancements have led manufacturers and technology developers to focus on developing standard algorithms. Recently, several developments have been carried out for enhancing artificial intelligence algorithms. For instance, in May 2020, International Business Machines Corporation announced a wide range of new AI-powered services and capabilities, namely IBM Watson AIOps, for enterprise automation. These services are designed to help automate the IT infrastructures and make them more resilient and cost reduction.
Various companies are implementing AI-based solutions such as Robotic Process Automation (RPA) to enhance the process workflows to handle and automate repetitive tasks. AI-based solutions are also being coupled with the Internet of Things (IoT) to provide robust results for various business processes. For Instance, Microsoft invested USD 1 billion in OpenAI, a San Francisco-based company. The two businesses teamed up to create AI supercomputing technology on Microsoft's Azure cloud.
The COVID-19 pandemic emerged as an opportunity for AI-enabled computer systems to fight against the epidemic as several tech companies are working on preventing, mitigating, and containing the virus. For instance, LeewayHertz, a U.S.-based custom software development company, offers technology solutions using AI tools and techniques, including the Face Mask Detection System to identify individuals without a mask and the Human Presence System to monitor patients remotely.
Besides, Voxel51 Inc., a U.S.-based artificial intelligence start-up, has developed Voxel51 PDI (Physical Distancing Index) to measure the impact of the global pandemic on social behavior across the world. AI-powered computer platforms or solutions are being used to fight against COVID-19 in numerous applications, such as early alerts, tracking & prediction, data dashboards, diagnosis and prognosis, treatments & cures, and maintaining social control. Data dashboards that can visualize the pandemic have emerged with the need for coronavirus tracking and prediction. For instance, Microsoft Corporation's Bing's AI tracker gives a global overview of the pandemic's current statistics.
Artificial intelligence is becoming vital to big data as the technology allows the extraction of high-level and complex abstractions through a hierarchical learning process. The need for mining and extraction of significant patterns from high-volume information is driving the growth of artificial intelligence in big data analytics. AI helps overcome challenges associated with big data analytics, such as the trustworthiness of data analysis, format variation of raw information, highly distributed input sources, and imbalanced input data. Another challenge includes a lack of efficient storage and poor information retrieval as it is collected in large quantities and made available across numerous domains. These challenges are overcome by using semantic indexing to facilitate comprehension and knowledge discovery.
Artificial Intelligence Market Report Highlights:
- Software solutions led the market and accounted for 35.0% of the global revenue in 2024. This leading share can be attributed to prudent advances in information storage capacity, high computing power, and parallel processing capabilities to deliver high-end services
- The operations segment accounted for around the largest revenue share in 2024. The operations segment is the engine room of a business, encompassing all day-to-day activities that deliver products or services to customers
- The advertising & media segment led the market and accounted for the largest revenue share in 2024. This is attributable to growing AI marketing applications with significant traction
- The deep learning segment led the market and accounted for largest revenue share in 2024 owing to the growing prominence of its complicated data-driven applications, including text/content or speech recognition
- The North America AI market accounted for a revenue share of 29.5% in 2024. It is attributed to favorable government initiatives to encourage the adoption of artificial intelligence (AI) across various industries
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation and Scope
- 1.2. Market Definitions
- 1.3. Research Methodology
- 1.3.1. Information Procurement
- 1.3.2. Information or Data Analysis
- 1.3.3. Market Formulation & Data Visualization
- 1.3.4. Data Validation & Publishing
- 1.4. Research Scope and Assumptions
- 1.4.1. List of Data Sources
Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Outlook
- 2.3. Competitive Insights
Chapter 3. Artificial Intelligence Market Variables, Trends, & Scope
- 3.1. Market Introduction/Lineage Outlook
- 3.2. Market Size and Growth Prospects (USD Billion)
- 3.3. Industry Value Chain Analysis
- 3.4. Market Dynamics
- 3.4.1. Market Drivers Analysis
- 3.4.2. Market Restraints Analysis
- 3.4.3. Industry Opportunities
- 3.4.4. Industry Challenges
- 3.5. Artificial Intelligence Market Analysis Tools
- 3.5.1. Porter's Analysis
- 3.5.1.1. Bargaining power of the suppliers
- 3.5.1.2. Bargaining power of the buyers
- 3.5.1.3. Threats of substitution
- 3.5.1.4. Threats from new entrants
- 3.5.1.5. Competitive rivalry
- 3.5.2. PESTEL Analysis
- 3.5.2.1. Political landscape
- 3.5.2.2. Economic and Social landscape
- 3.5.2.3. Technological landscape
- 3.5.2.4. Environmental landscape
- 3.5.2.5. Legal landscape
Chapter 4. Artificial Intelligence Market: Solution Estimates & Trend Analysis
- 4.1. Segment Dashboard
- 4.2. Artificial Intelligence Market: Solution Movement Analysis, USD Million, 2024 & 2030
- 4.3. Hardware
- 4.3.1. Hardware Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 4.4. Software
- 4.4.1. Software Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 4.5. Services
- 4.5.1. Services Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 5. Artificial Intelligence Market: Technology Estimates & Trend Analysis
- 5.1. Segment Dashboard
- 5.2. Artificial Intelligence Market: Technology Movement Analysis, USD Million, 2024 & 2030
- 5.3. Deep Learning
- 5.3.1. Deep Learning Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 5.4. Machine Learning
- 5.4.1. Machine Learning Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 5.5. Natural Language Processing (NLP)
- 5.5.1. Natural Language Processing (NLP) Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 5.6. Machine Vision
- 5.6.1. Machine Vision Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 5.7. Generative AI
- 5.7.1. Generative AI Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 6. Artificial Intelligence Market: Function Estimates & Trend Analysis
- 6.1. Segment Dashboard
- 6.2. Artificial Intelligence Market: Function Movement Analysis, USD Million, 2024 & 2030
- 6.3. Cybersecurity
- 6.3.1. Cybersecurity Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 6.4. Finance and Accounting
- 6.4.1. Finance and Accounting Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 6.5. Human Resource Management
- 6.5.1. Human Resource Management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 6.6. Legal and Compliance
- 6.6.1. Legal and Compliance Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 6.7. Operations
- 6.7.1. Operations Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 6.8. Sales and Marketing
- 6.8.1. Sales and Marketing Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 6.9. Supply Chain Management
- 6.9.1. Supply Chain Management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 7. Artificial Intelligence Market: End Use Estimates & Trend Analysis
- 7.1. Segment Dashboard
- 7.2. Artificial Intelligence Market: End Use Movement Analysis, USD Million, 2024 & 2030
- 7.3. Healthcare
- 7.3.1. Healthcare Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.4. BFSI
- 7.4.1. BFSI Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.5. Law
- 7.5.1. Law Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.6. Retail
- 7.6.1. Retail Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.7. Advertising & Media
- 7.7.1. Advertising & Media Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.8. Automotive & Transportation
- 7.8.1. Automotive & Transportation Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.9. Agriculture
- 7.9.1. Agriculture Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.10. Manufacturing
- 7.10.1. Manufacturing Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.11. Others
- 7.11.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 8. Artificial Intelligence Market: Regional Estimates & Trend Analysis
- 8.1. Artificial Intelligence Market Share, By Region, 2024 & 2030, USD Million
- 8.2. North America
- 8.2.1. North America Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.2.2. U.S.
- 8.2.2.1. U.S. Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.2.3. Canada
- 8.2.3.1. Canada Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.3. Europe
- 8.3.1. Europe Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.3.2. UK
- 8.3.2.1. UK Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.3.3. Germany
- 8.3.3.1. Germany Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.3.4. France
- 8.3.4.1. France Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.4. Asia Pacific
- 8.4.1. Asia Pacific Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.4.2. China
- 8.4.2.1. China Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.4.3. Japan
- 8.4.3.1. Japan Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.4.4. India
- 8.4.4.1. India Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.4.5. Australia
- 8.4.5.1. Australia Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.4.6. South Korea
- 8.4.6.1. South Korea Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.5. Latin America
- 8.5.1. Latin America Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.5.2. Brazil
- 8.5.2.1. Brazil Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.5.3. Mexico
- 8.5.3.1. Mexico Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.6. Middle East and Africa
- 8.6.1. Middle East and Africa Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.6.2. KSA
- 8.6.2.1. KSA Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.6.3. UAE
- 8.6.3.1. UAE Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.6.4. South Africa
- 8.6.4.1. South Africa Artificial Intelligence Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 9. Competitive Landscape
- 9.1. Recent Developments & Impact Analysis by Key Market Participants
- 9.2. Company Categorization
- 9.3. Company Market Positioning
- 9.4. Company Heat Map Analysis
- 9.5. Strategy Mapping
- 9.5.1. Expansion
- 9.5.2. Mergers & Acquisition
- 9.5.3. Partnerships & Collaborations
- 9.5.4. New Product Launches
- 9.5.5. Research And Development
- 9.6. Company Profiles
- 9.6.1. Advanced Micro Devices
- 9.6.1.1. Participant's Overview
- 9.6.1.2. Financial Performance
- 9.6.1.3. Product Benchmarking
- 9.6.1.4. Recent Developments
- 9.6.2. AiCure
- 9.6.2.1. Participant's Overview
- 9.6.2.2. Financial Performance
- 9.6.2.3. Product Benchmarking
- 9.6.2.4. Recent Developments
- 9.6.3. Arm Limited
- 9.6.3.1. Participant's Overview
- 9.6.3.2. Financial Performance
- 9.6.3.3. Product Benchmarking
- 9.6.3.4. Recent Developments
- 9.6.4. Atomwise, Inc.
- 9.6.4.1. Participant's Overview
- 9.6.4.2. Financial Performance
- 9.6.4.3. Product Benchmarking
- 9.6.4.4. Recent Developments
- 9.6.5. Ayasdi AI LLC
- 9.6.5.1. Participant's Overview
- 9.6.5.2. Financial Performance
- 9.6.5.3. Product Benchmarking
- 9.6.5.4. Recent Developments
- 9.6.6. Baidu, Inc.
- 9.6.6.1. Participant's Overview
- 9.6.6.2. Financial Performance
- 9.6.6.3. Product Benchmarking
- 9.6.6.4. Recent Developments
- 9.6.7. Clarifai, Inc
- 9.6.7.1. Participant's Overview
- 9.6.7.2. Financial Performance
- 9.6.7.3. Product Benchmarking
- 9.6.7.4. Recent Developments
- 9.6.8. Cyrcadia Health
- 9.6.8.1. Participant's Overview
- 9.6.8.2. Financial Performance
- 9.6.8.3. Product Benchmarking
- 9.6.8.4. Recent Developments
- 9.6.9. Enlitic, Inc.
- 9.6.9.1. Participant's Overview
- 9.6.9.2. Financial Performance
- 9.6.9.3. Product Benchmarking
- 9.6.9.4. Recent Developments
- 9.6.10. Google LLC
- 9.6.10.1. Participant's Overview
- 9.6.10.2. Financial Performance
- 9.6.10.3. Product Benchmarking
- 9.6.10.4. Recent Developments
- 9.6.11. H2O.ai.
- 9.6.11.1. Participant's Overview
- 9.6.11.2. Financial Performance
- 9.6.11.3. Product Benchmarking
- 9.6.11.4. Recent Developments
- 9.6.12. HyperVerge, Inc.
- 9.6.12.1. Participant's Overview
- 9.6.12.2. Financial Performance
- 9.6.12.3. Product Benchmarking
- 9.6.12.4. Recent Developments
- 9.6.13. International Business Machines Corporation
- 9.6.13.1. Participant's Overview
- 9.6.13.2. Financial Performance
- 9.6.13.3. Product Benchmarking
- 9.6.13.4. Recent Developments
- 9.6.14. IBM Watson Health
- 9.6.14.1. Participant's Overview
- 9.6.14.2. Financial Performance
- 9.6.14.3. Product Benchmarking
- 9.6.14.4. Recent Developments
- 9.6.15. Intel Corporation
- 9.6.15.1. Participant's Overview
- 9.6.15.2. Financial Performance
- 9.6.15.3. Product Benchmarking
- 9.6.15.4. Recent Developments
- 9.6.16. Iris.ai AS.
- 9.6.16.1. Participant's Overview
- 9.6.16.2. Financial Performance
- 9.6.16.3. Product Benchmarking
- 9.6.16.4. Recent Developments
- 9.6.17. Lifegraph
- 9.6.17.1. Participant's Overview
- 9.6.17.2. Financial Performance
- 9.6.17.3. Product Benchmarking
- 9.6.17.4. Recent Developments
- 9.6.18. Microsoft
- 9.6.18.1. Participant's Overview
- 9.6.18.2. Financial Performance
- 9.6.18.3. Product Benchmarking
- 9.6.18.4. Recent Developments
- 9.6.19. NVIDIA Corporation
- 9.6.19.1. Participant's Overview
- 9.6.19.2. Financial Performance
- 9.6.19.3. Product Benchmarking
- 9.6.19.4. Recent Developments
- 9.6.20. Sensely, Inc.
- 9.6.20.1. Participant's Overview
- 9.6.20.2. Financial Performance
- 9.6.20.3. Product Benchmarking
- 9.6.20.4. Recent Developments
- 9.6.21. Zebra Medical Vision, Inc.
- 9.6.21.1. Participant's Overview
- 9.6.21.2. Financial Performance
- 9.6.21.3. Product Benchmarking
- 9.6.21.4. Recent Developments