Artificial Intelligence Market by Component (Hardware, Services, Software), Technology (Computer Vision, Context-Aware Computing, Handwriting Recognition), Industry - Global Forecast 2024-2030
The Artificial Intelligence Market size was estimated at USD 447.77 billion in 2023 and expected to reach USD 599.88 billion in 2024, at a CAGR 35.41% to reach USD 3,738.34 billion by 2030.
Artificial intelligence (AI) refers to the simulation of human intelligence in machines programmed to learn and think as humans. Artificial intelligence is integrated with machines that exhibit similar traits associated with the human mind, such as learning and problem-solving. This technology aims to enable machines to perform tasks that require human intelligence, including reasoning, knowledge representation, planning, education, natural language processing (NLP), perception, and the ability to manipulate and move objects. The exponential growth in data generation and the availability of large datasets for training AI systems create a platform for the artificial intelligence market. Substantial investments from both public and private sectors in AI research and startups have propelled the technology forward, driving innovation and broadening its application spectrum. The convergence of AI with other fields of study, such as cognitive science and robotics, has expanded its capabilities and applications, fostering growth in the market. Certain technical limitations, data bias, and quality issues with the usage of artificial intelligence hampers the growth of the market. Rising advancements in artificial intelligence algorithms that improve the efficiency of AI solutions are expected to create opportunities for market growth.
Regional Insights
The Americas represents a significant region for the artificial market as it's a global hub for advanced technology companies and startups focusing on AI and machine learning (ML). The presence of major tech companies that lead in AI research and development pushes the boundaries of AI in healthcare, finance, and autonomous vehicles. With its distinguished AI research community, Canada has seen considerable growth in AI startups, largely concentrated in cities including Toronto, Montreal, and Vancouver. These hubs are supported by government initiatives and academic institutions internationally recognized for their contributions to AI and ML research. The Asia-Pacific region is characterized by rapid growth in AI, with countries including China, South Korea, and Australia's growing focus on digitalization. South Korea heavily invests in AI for manufacturing, smart cities, and robotics, while Australia's AI sector is burgeoning, driven by investments in health, education, and mining technologies. This region benefits from strong governmental support, high levels of investment, and a quickly growing tech-savvy population. The EMA region presents a diverse AI landscape, with each area focusing on different aspects of AI utilization and development. Europe is at the forefront, with countries including the UK, Germany, and France focusing on AI research and development. The European Union's investment in AI and its focus on AI ethics and regulation, notably the AI Act, showcases its dual approach of fostering innovation while protecting citizens' rights. The Middle East, particularly the UAE and Saudi Arabia, is channeling investments into AI to diversify from oil-dependent economies, focusing on health, education, and smart cities. Africa shows promise with its rapidly growing tech startup ecosystem, focusing on solving continent-specific health, agriculture, and finance challenges.
Market Insights
Market Dynamics
The market dynamics represent an ever-changing landscape of the Artificial Intelligence Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
Market Drivers
Surging digitalization across industries and the growth of cloud-based services
Increasing government support to adopt and develop AI solutions
Favorable ecosystem for the start-ups for the development of AI
Market Restraints
Data bias and quality issues with AI solutions
Market Opportunities
Growing advancements in machine learning and deep learning frameworks improving AI capabilities
High potential for AI image recognition technology across drones and self-driving cars
Market Challenges
Concerns regarding data privacy and intellectual property issues of AI
Market Segmentation Analysis
Component: Growing usage of AI software for creating, training, and deploying AI models
Industry: High potential of AI solutions in the information technology industry to ensure higher network reliability and better customer experiences
Market Disruption Analysis
Porter’s Five Forces Analysis
Value Chain & Critical Path Analysis
Pricing Analysis
Technology Analysis
Patent Analysis
Trade Analysis
Regulatory Framework Analysis
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Artificial Intelligence Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Artificial Intelligence Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
Microsoft Invests in Europe’s Mistral AI to Expand Beyond OpenAI
Microsoft embarked on an innovative partnership with the French start-up Mistral AI, marking a strategic expansion into the artificial intelligence sector. By announcing a significant investment of EUR 15 million into Mistral AI, Microsoft aims to harness new commercial prospects and facilitate Mistral's growth on a global scale. Additionally, the partnership intends to enhance Mistral's customer reach by rolling out its ChatGPT-like multilingual assistant, Le Chat.
HEALWELL AI to Acquire Intrahealth to Create Next Generation AI-powered EHR
HEALWELL AI Inc. announced its acquisition of Intrahealth Systems Limited from WELL Health Technologies Corp. With Intrahealth's substantial professional network and its forecast to produce significant revenue and high gross margins in 2024, the acquisition promises to be a transformative combination for delivering advanced clinical decision support and shaping the trajectory of value-based care globally.
Accenture to Invest USD 3 Billion in AI to Accelerate Clients’ Reinvention
Accenture unveiled a strategic commitment, investing USD 3 billion over the next three years into enhancing its Data & AI practice to aid entities across various sectors in leveraging Artificial Intelligence (AI) for improved growth, operational efficiency, and resilience. Accenture aims to prepare its clients for future competitiveness and performance enhancements by prioritizing the adoption and scaling of AI technologies. This initiative underscores Accenture's commitment to driving responsible and transformative AI innovation, positioning its clients at the forefront of industry advancements.
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Artificial Intelligence Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Adobe Inc., Aerobotics, (Pty) Ltd., Alibaba Group Holding Limited, Altron Limited, Amazon Web Services, Inc., Autodesk, Inc., Baidu, Inc., Business Connexion (Pty) Ltd. by Telkom Group, C3.ai, Inc., CLEVVA Pty. Ltd., Cortex Logic, Databricks, Inc., DataProphet Proprietary Limited, Dimension Data Holdings PLC by NTT DATA Corporation, EOH Holdings Limited, General Electric Company, Google LLC by Alphabet Inc., H2O.ai, Inc., iiDENTIFii (PTY) Ltd., Infosys Limited, Intel Corporation, International Business Machines Corporation, MED AI SOL (PTY) Ltd., Microsoft Corporation, NVIDIA Corporation, OpenAI OpCo, LLC, Oracle Corporation, Palantir Technologies Inc., Qualcomm Inc., Robert Bosch GmbH, Salesforce Inc., SAP SE, SAS Institute Inc., ServiceNow, Inc., Splunk Inc. by Cisco Systems Inc., Tencent Holdings Ltd., UiPath, Inc., and Zindi.
Market Segmentation & Coverage
This research report categorizes the Artificial Intelligence Market to forecast the revenues and analyze trends in each of the following sub-markets:
Component
Hardware
Memory
Network
Processors
Sensors
Services
Deployment & Integration
Support & Maintenance
Software
Application Program Interface
Machine Learning Framework
Technology
Computer Vision
Context-Aware Computing
Handwriting Recognition
Machine Learning
Deep Learning
Reinforcement Learning
Supervised Learning
Unsupervised Learning
Natural Language Processing
Speech Recognition
Industry
Aerospace & Defense
Automotive & Transportation
Banking, Financial Services & Insurance
Building, Construction & Real Estate
Consumer Goods & Retail
Education
Energy & Utilities
Government & Public Sector
Healthcare & Life Sciences
Information Technology
Manufacturing
Media & Entertainment
Telecommunication
Travel & Hospitality
Region
Americas
Argentina
Brazil
Canada
Mexico
United States
California
Florida
Illinois
New York
Ohio
Pennsylvania
Texas
Asia-Pacific
Australia
China
India
Indonesia
Japan
Malaysia
Philippines
Singapore
South Korea
Taiwan
Thailand
Vietnam
Europe, Middle East & Africa
Denmark
Egypt
Finland
France
Germany
Israel
Italy
Netherlands
Nigeria
Norway
Poland
Qatar
Russia
Saudi Arabia
South Africa
Spain
Sweden
Switzerland
Turkey
United Arab Emirates
United Kingdom
Please Note: PDF & Excel + Online Access - 1 Year
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. Surging digitalization across industries and the growth of cloud-based services
5.1.1.2. Increasing government support to adopt and develop AI solutions
5.1.1.3. Favorable ecosystem for the start-ups for the development of AI
5.1.2. Restraints
5.1.2.1. Data bias and quality issues with AI solutions
5.1.3. Opportunities
5.1.3.1. Growing advancements in machine learning and deep learning frameworks improving AI capabilities
5.1.3.2. High potential for AI image recognition technology across drones and self-driving cars
5.1.4. Challenges
5.1.4.1. Concerns regarding data privacy and intellectual property issues of AI
5.2. Market Segmentation Analysis
5.2.1. Component: Growing usage of AI software for creating, training, and deploying AI models
5.2.2. Industry: High potential of AI solutions in the information technology industry to ensure higher network reliability and better customer experiences
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. Value Chain & Critical Path Analysis
5.5. Regulatory Framework Analysis
6. Artificial Intelligence Market, by Component
6.1. Introduction
6.2. Hardware
6.3. Services
6.4. Software
7. Artificial Intelligence Market, by Technology
7.1. Introduction
7.2. Computer Vision
7.3. Context-Aware Computing
7.4. Handwriting Recognition
7.5. Machine Learning
7.6. Natural Language Processing
7.7. Speech Recognition
8. Artificial Intelligence Market, by Industry
8.1. Introduction
8.2. Aerospace & Defense
8.3. Automotive & Transportation
8.4. Banking, Financial Services & Insurance
8.5. Building, Construction & Real Estate
8.6. Consumer Goods & Retail
8.7. Education
8.8. Energy & Utilities
8.9. Government & Public Sector
8.10. Healthcare & Life Sciences
8.11. Information Technology
8.12. Manufacturing
8.13. Media & Entertainment
8.14. Telecommunication
8.15. Travel & Hospitality
9. Americas Artificial Intelligence Market
9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States
10. Asia-Pacific Artificial Intelligence Market
10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam
11. Europe, Middle East & Africa Artificial Intelligence Market
11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom
12. Competitive Landscape
12.1. Market Share Analysis, 2023
12.2. FPNV Positioning Matrix, 2023
12.3. Competitive Scenario Analysis
12.3.1. Microsoft Invests in Europe’s Mistral AI to Expand Beyond OpenAI
12.3.2. HEALWELL AI to Acquire Intrahealth to Create Next Generation AI-powered EHR
12.3.3. Accenture to Invest USD 3 Billion in AI to Accelerate Clients’ Reinvention