Artificial Intelligence Market Size, Share & Trends Analysis Report By Solution, By Technology (Deep Learning, Machine Learning, NLP, Machine Vision, Generative AI), By Function, By End-Use, By Region, And Segment Forecasts, 2025 - 2030
Published Date: March - 2025 | Publisher: MIR | No of Pages: 220 | Industry: technology | Format: Report available in PDF / Excel Format
View Details Buy Now 4950 Download Sample Ask for Discount Request CustomizationArtificial Intelligence Market Size, Share & Trends Analysis Report By Solution, By Technology (Deep Learning, Machine Learning, NLP, Machine Vision, Generative AI), By Function, By End-Use, By Region, And Segment Forecasts, 2025 - 2030
AI Intelligence Market Size & Trends
The size of the global AI intelligence market was USD 279.22 billion in 2024 and is anticipated to expand at a CAGR of 35.9% from 2025 to 2030. The ongoing research and development led by technology giants are propelling the adoption of innovative technologies in industry verticals, including automotive, healthcare, retail, finance, and manufacturing. For example, in March 2025, EthicalWeb.Ai introduced AI Vault, a generative AI-driven Enterprise security SaaS solution for AWS customers. Developed on the company's AI intellectual property, such as three US patents, AI Vault improves threat detection, response, and prevention with real-time data redaction. It is a central part of a scalable Gen AI marketplace Enterprise offering.
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AI has turned out to be a major revolutionary component of the future Digital world. Amazon.com, Inc., Google LLC, Apple Inc., Facebook, International Business Machines Corporation, and Microsoft are investing heavily in AI research and development, thereby growing the artificial intelligence market cap. The above companies are attempting to bring AI within reach for Mobility applications. In addition, different businesses implement AI technology to enhance customer experience and strengthen their presence in artificial intelligence industry 4.0.
The key reality speeding up the pace of innovation in AI is availability of historical data sets. Because data Battery and retrieval have turned out to be more cost-effective, healthcare centers and government bodies construct unstructured data available for the research community. Researchers are gaining access to rich data sets, ranging from historical rain patterns to clinical scans. The emerging computing architectures with access to rich data sets are motivating information scientists and researchers to innovate at a faster pace.
In addition, advancements in deep learning and ANN have also spurred the implementation of AI across various sectors, including aerospace, healthcare, manufacturing, and automotive. ANN functions in identifying similar patterns and assists in delivering altered solutions. Technology giants like Google Maps have been implementing ANN to enhance their route and work upon feedback generated via ANN. ANN is replacing traditional machine learning systems to develop accurate and exact versions. For example, latest developments in computer vision technology like GAN (Generative Adversarial Networks) and SSD (Single Shot MultiBox Detector) have developed Digital image processing methods. For example, photographs and videos shot in low light, or low resolution, can be converted to HD quality using these methods. Ongoing computer vision research has established the framework for digital image processing across security & surveillance, healthcare, and Construction learning are expected to revolutionize the way AI versions are trained and released.
Solution Insights
Market leadership and 35.0% of the revenue worldwide in 2024 were commanded by software solutions. The major share is based on the wise developments made in information Battery capacity, computing power, and parallel processing capabilities to offer high-end services. In addition to this, the capacity to derive data, offer real-time insights, and facilitate decision-making has put this segment in a position to command a large share of the market. Artificial intelligence software solutions consist of libraries used in designing and deploying artificial intelligence applications, including primitives, linear algebra, inference, sparse matrices, video analytics, and several hardware communication capabilities. The requirement for enterprises to interpret and analyze visual content to extract meaningful insights is likely to drive the growth of artificial intelligence software during the forecast period.
The services segment is likely to have the highest CAGR during the forecast period. The expansion is fueled by the rising usage of AI-powered consulting, integration, and support services as enterprises aim to streamline AI deployment. Organizations need specialist advice to deploy AI solutions on top of their current infrastructures, resulting in a boom for managed and professional services. Continuous AI innovation also requires frequent upgrades, maintenance, and training, further fueling the services market. The growth in AI-as-a-Service (AIaaS) offerings by Cloud providers also drives the high rate of growth in the segment, which makes AI accessible to businesses of all sizes.
Function Insights
The operations segment contributed approximately largest revenue share in 2024. The operations segment is the powerhouse of a business and includes all day-to-day functions that provide products or services to customers. Deployment of AI can make repetitive work, like order processing and data entry, Automated automation, and supply chain optimization, companies can make their workflows more streamlined, lower their costs, and deliver their products smoothly.
The marketing and sales sector is also anticipated to grow with the largest growth rate between 2025 and 2030. It utilizes AI to revolutionize how companies gain and convert clients. AI has the capability of scrutinizing massive volumes of client information in order to identify top leads, sequence sales initiatives, and customize promotional campaigns. AI-driven chatbots can respond to customer questions, qualify leads, and even book appointments, freeing sales reps to handle more complicated conversations. AI can also customize marketing messages and recommendations based on the demographics, buying history, and web behavior of a customer, resulting in more relevant and successful marketing campaigns that convert.
End Use Insights
The media & advertising sector dominated the market and held the highest revenue share in 2024. This is due to increasing AI marketing uses with tremendous momentum. For example, Amazon Ads introduced AI Creative Studio and Audio Generator in October 2024 to streamline ad creation and improve customer interactions. These are used by brands to overcome creativity hurdles, ease multi-format ads, and deliver personalized content. Advertisers are able to update creatives with ease, create trend-based content, and customize ads for various use cases. This enhances the shopping experience and increases campaign performance.
Artificial intelligence has seen a large share in the BFSI industry because of high demand for risk & compliance solutions as well as regulatory and supervisory technologies (SupTech). With the application of AI-fueled insights in Suptech solutions in financial markets, the regulatory bodies are now increasingly scrutinizing FinTech-based applications utilized for regulation, supervision, and oversight for their possible advantages. Equally so, the regulated institutions are developing and applying FinTech applications for reporting and regulatory and compliance requirements. Financial institutions are employing AI applications for internal controls and risk management as well. The integration of AI technology with behavioral sciences allows large financial institutions to avoid wrongdoing, shifting the focus from ex-post resolution to prevention.
Other sectors for artificial intelligence systems are retail, law, automotive & Construction safety and implementing stringent safety measures. Furthermore, conversational AI platform is also the most utilized artificial intelligence solution across all industries. Retail industry is expected to experience a huge boost due to greater emphasis on creating a better shopping experience. A growing volume of digital information in text, voice, and picture from various social media sources is propelling data mining and analytics requirements. In the advertising and entertainment sector, AI has been making a difference, and business firms are implementing AI methods for promoting their business and reaching the customer base.
Technology Insights
The deep learning category dominated the market and registered the highest revenue share in 2024 due to the increasing popularity of its sophisticated data-centric applications, such as text/content or speech recognition. Deep learning has promising investment avenues since it resolves the difficulties caused by the enormous volume of data. Increasing investment in research and development activities among major players will also contribute to the augmented adoption of artificial intelligence technologies.
Machine vision segment is expected to have the highest CAGR during the forecast period. The machine vision market has witnessed an increase in Construction structured light technologies are used for executing robotic functions such as path planning and navigation. The majority of major vendors, including Keyence Corporation, have established structured light technology systems. The technology is also found to be rapidly adopted in industrial processes, massively replacing traditional measurement and inspection techniques. The increased demand for fast and accurate inspection and measurement tools is propelling this transition. Machine vision systems utilize Virtual cameras and image analysis to conduct measurement and inspection.
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Regional Insights
The market of North America for AI generated a revenue share of 29.5% in 2024. It is credited to the favorable government policies to promote the use of artificial intelligence (AI) in multiple industries. The governments in North America are investing in the research and development of AI, setting up specialized research institutions and laboratories, and financing AI-based projects. They also employ AI in various sectors, including improving public security and transportation and stimulating healthcare innovation.
U.S. Artificial Intelligence Market Trends
The U.S. artificial intelligence market is expected to show a strong CAGR during the forecast period and has developed significantly in the area of AI and robotics. Local firms and research centers have been leading the way in designing innovative robots that utilize AI to carry out a range of activities. Furthermore, the U.S. is developing social and Animal robots that can interact with people and provide assistance in various settings.
Europe Artificial Intelligence Market Trends
The European AI market is expected to observe a high CAGR between 2025 and 2030. The regional financial sector is experiencing a paradigm shift because of the increasing deployment of AI solutions. AI is being incorporated in various segments of finance, creating revolutionary changes in conventional practices and enhancing customer experience.
Asia Pacific Artificial Intelligence Market Trends
The Asia Pacific region's artificial intelligence market is expected to post the highest CAGR during the forecast period. In the Asia-Pacific region, the financial sector is making more and more use of AI for customer service, credit scoring, risk assessment, and fraud detection. Chatbots powered by AI are becoming increasingly prevalent, improving customer interactions and offering more convenient IoT experiences. As AI technology keeps advancing, the Asian-Pacific financial industry is likely to experiment with more sophisticated applications, further revolutionizing how financial services are consumed and experienced.
Key Artificial Intelligence Company Insights
A few major companies operating in the security and vulnerability management space AiCure., Clarifai, Inc., and Enlitic, Inc.
AiCure is a healthcare company dedicated to creating clinically proven artificial intelligence technologies that enhance medication adherence and Patient behavior. It provides a software-as-a-service (SaaS) platform featuring motion-sensing and facial recognition technologies. AiCure is Thermal a Mobile technology platform that combines recent AI breakthroughs, including machine learning, predictive analytics, deep learning, and computer vision. The platform applies AI on Mobile devices to authenticate medication ingestion in high-risk populations and clinical trials.
Clarifai, Inc. is an artificial intelligence firm that deals in visual recognition technology and sophisticated image recognition platforms. Its technology recognizes objects, tags, and categories in images and retrieves similar images, identifying visual search results and near duplicates. Clarifai, Inc. delivers visual recognition and computer vision AI to businesses and developers. They offer a range of applications, including custom face recognition, demographic analysis, and content moderation.
Enlitic, Inc. specializes in artificial intelligence solutions for healthcare. The company creates software with insights on treatment planning, early detection, and disease monitoring. Enlitic develops tools enabling physicians to use medical data productively and also clinical decision-support solutions. Enlitic partners with academic organizations, healthcare institutions, and pharma companies in order to take its AI solutions forward.
Key Artificial Intelligence Companies
The following are the leading companies in the artificial intelligence market. These companies collectively hold the largest market share and dictate industry trends.
- Advanced Micro Devices
- AiCure
- Arm Limited
- Atomwise, Inc.
- Ayasdi AI LLC
- Baidu, Inc.
- Clarifai, Inc
- Cyrcadia Health
- Enlitic, Inc.
- Google LLC
- H2O.ai.
- HyperVerge, Inc.
- International Business Machines Corporation
- IBM Watson Health
- Intel Corporation
- Iris.ai AS.
- Lifegraph
- Microsoft
- NVIDIA Corporation
- Sensely, Inc.
- Zebra Medical Vision, Inc.
Recent Developments
ServiceNow launched a set of AI-infused products in March 2025 to help unlock enterprise workflow automation. AI Agent Studio is a no-code solution to develop custom AI agents, AI Agent Orchestrator is a control tower to streamline AI agent orchestration, and thousands of ready-to-use AI agents to automate workflows and reduce mean-time-to-resolution.
In March 2025, the Commonwealth Bank of Australia expanded its investment and collaboration with Anthropic PBC to accelerate the adoption of AI. The collaboration is anticipated to enhance customer experience, support bank employees, and provide Commonwealth Bank of Australia technologists with direct access to Anthropic PBC's AI features, resulting in responsible and safe AI development.
In March 2025, NTT DATA Group Corporation and CrowdStrike, Inc. have established an extended partnership to use AI-native CrowdStrike, Inc.'s Falcon platform to enhance NTT DATA Group Corporation's managed cybersecurity services. Through this partnership, NTT DATA Group Corporation's high-quality managed services are coupled with Falcon's industry-leading cybersecurity capabilities, enabling customers to enhance threat detection, response, and prevention, providing robust protection against breaches.
Artificial Intelligence Market Report Scope
Report Attribute |
Details |
Market size value in 2025 |
USD 390.91 billion |
Revenue forecast in 2030 |
USD 1,811.75 billion |
Growth rate |
CAGR of 35.9% from 2025 to 2030 |
Actual data |
2017 - 2024 |
Forecast period |
2025 - 2030 |
Quantitative units |
Revenue in USD billion/million, and CAGR from 2025 to 2030 |
Report coverage |
Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
Segments covered |
Solution, technology, end use, function, region |
Regional scope |
North America; Europe; Asia Pacific; Latin America; MEA |
Country scope |
U.S.; Canada; Mexico; Germany; UK; France; China; India; Japan; Australia; South Korea; Brazil; UAE; South Africa; KSA |
Key companies profiled |
Advanced Micro Devices; AiCure; Arm Limited; Atomwise, Inc.; Ayasdi AI LLC; Baidu, Inc.; Clarifai, Inc; Cyrcadia Health; Enlitic, Inc.; Google LLC; H2O.ai.; HyperVerge, Inc.; International Business Machines Corporation; IBM Watson Health; Intel Corporation; Iris.ai AS.; Lifegraph; Microsoft; NVIDIA Corporation; Sensely, Inc.; Zebra Medical Vision, Inc. |
Customization scope |
Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope. |
Pricing and purchase options |
Avail customized purchase options to meet your exact research needs. Explore purchase options |
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Global Artificial Intelligence Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global artificial intelligence market report based on solution, technology, function, end use, and region
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Solution Outlook (Revenue, USD Billion, 2017 - 2030)
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Hardware
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Accelerators
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Processors
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Memory
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Network
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Software
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Services
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Professional
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Managed
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-
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Technology Outlook (Revenue, USD Billion, 2017 - 2030)
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Deep Learning
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Machine Learning
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Natural Language Processing (NLP)
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Machine Vision
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Generative AI
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Function Outlook (Revenue, USD Billion, 2017 - 2030)
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End-Use Outlook (Revenue, USD Billion, 2017 - 2030)
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Healthcare
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BFSI
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Risk Assessment
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Financial Analysis/Research
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Investment/Portfolio Management
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Others
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Law
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Retail
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Advertising & Media
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Automotive & Transportation
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Manufacturing
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Others
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Regional Outlook (Revenue, USD Billion, 2017 - 2030)
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North America
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U.S.
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Canada
-
-
Europe
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UK
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Germany
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France
-
-
Asia Pacific
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China
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Japan
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India
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South Korea
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Australia
-
-
South America
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Brazil
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Mexico
-
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Middle East and Africa (MEA)
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KSA
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UAE
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South Africa
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-
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Table of Content
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
List Tables Figures
List of Tables
Table 1 Global AI Market by Solution, 2017 - 2030 (USD Million)
Table 2 Global AI Market by Technology, 2017 - 2030 (USD Million)
Table 3 Global AI Market by Function, 2017 - 2030 (USD Million)
Table 4 Global AI Market by End Use, 2017 - 2030 (USD Million)
Table 5 Global AI Market by Region, 2017 - 2030 (USD Million)
Table 6 North America AI Market by country, 2017 - 2030 (USD Million)
Table 7 Europe AI Market by country, 2017 - 2030 (USD Million)
Table 8 Asia Pacific AI Market by country, 2017 - 2030 (USD Million)
Table 9 Latin America AI Market by country, 2017 - 2030 (USD Million)
Table 10 MEA AI Market by country, 2017 - 2030 (USD Million)
Table 11 Company heat map analysis
Table 12 Key companies launching new products/services
Table 13 Key companies engaged in mergers & acquisition
Table 14 Key companies engaged in Research & development
Table 15 Key Companies engaged in expansion
List of Figures
Fig. 1 AI Market segmentation
Fig. 2 Market research process
Fig. 3 Information procurement
Fig. 4 Primary research pattern
Fig. 5 Market research approaches
Fig. 6 Market formulation & validation
Fig. 7 AI Market snapshot
Fig. 8 AI Market segment snapshot
Fig. 9 AI Market competitive landscape snapshot
Fig. 10 Market driver impact analysis
Fig. 11 Market restraint impact analysis
Fig. 12 AI Market, solution outlook key takeaways (USD Million)
Fig. 13 AI Market: solution movement analysis 2024 & 2030 (USD Million)
Fig. 14 Hardware market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 15 Software market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 16 Services market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 17 AI Market: technology outlook key takeaways (USD Million)
Fig. 18 AI Market: technology movement analysis 2024 & 2030 (USD Million)
Fig. 19 Deep Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 20 Machine Learning market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 21 Natural Language Processing market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 22 Machine Vision market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 23 Generative AI market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 24 AI Market: Function outlook key takeaways (USD Million)
Fig. 25 AI Market: Function movement analysis 2024 & 2030 (USD Million)
Fig. 26 Cybersecurity market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 27 Finance and Accounting market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 28 Human Resource Management market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 29 Legal and Compliance market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 30 Operations market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 31 Sales and Marketing market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 32 Supply Chain Management market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 33 AI Market: End-Use outlook key takeaways (USD Million)
Fig. 34 AI Market: End-Use movement analysis 2024 & 2030 (USD Million)
Fig. 35 Healthcare market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 36 BFSI market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 37 Law market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 38 Legal market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 39 Retail market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 40 Advertising & Media market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 41 Automotive & Transportation market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 42 Agriculture market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 43 Manufacturing market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 44 Others market revenue estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 45 Regional marketplace: Key takeaways
Fig. 46 AI Market: Regional outlook, 2024 & 2030, USD Million
Fig. 47 North America AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 48 U.S. AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 49 Canada AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 50 Europe AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 51 UK AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 52 Germany AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 53 France AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 54 Asia Pacific AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 55 China AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 56 Japan AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 57 India AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 58 South Korea AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 59 Australia AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 60 Latin America AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 61 Brazil AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 62 Mexico AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 63 MEA AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 64 KSA AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 65 UAE AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 66 South Africa AI Market estimates and forecasts, 2017 - 2030 (USD Million)
Fig. 67 Company Categorization
Fig. 68 Company Market Positioning
Fig. 69 Strategy framework
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