Artificial Intelligence Engineering Market Research Report - Segmented by Offering (Hardware, Software, Services); Technology (Deep Learning, Machine Learning, Natural Language Processing (NLP), Computer Vision); Deployment Mode (Cloud-Based, On-Premises); End-Use (Banking, Financial Services, and Insurance (BFSI), Automotive, IT & Telecommunications, Education & Research, Government & Public Sector, Healthcare, Manufacturing, Others); and Region - Size, Share, Growth Analysis | Forecast (2024 – 2030)
Published: 2024 - January
Report Code: IM-15274
Format:
Region: Global
Chapter 1. Artificial Intelligence Engineering Market – Scope & Methodology
1.1. Market Segmentation
1.2. Assumptions
1.3. Research Methodology
1.4. Primary Sources
1.5. Secondary Sources
Chapter 2. Artificial Intelligence Engineering Market – Executive Summary
2.1. Market Size & Forecast – (2023 – 2030) ($M/$Bn)
2.2. Key Trends & Insights
2.3. COVID-19 Impact Analysis
2.3.1. Impact during 2023 - 2030
2.3.2. Impact on Supply – Demand
Chapter 3. Artificial Intelligence Engineering Market – Competition Scenario
3.1. Market Share Analysis
3.2. Product Benchmarking
3.3. Competitive Strategy & Development Scenario
3.4. Competitive Pricing Analysis
3.5. Supplier - Distributor Analysis
Chapter 4. Artificial Intelligence Engineering Market - Entry Scenario
4.1. Case Studies – Start-up/Thriving Companies
4.2. Regulatory Scenario - By Region
4.3 Customer Analysis
4.4. Porter's Five Force Model
4.4.1. Bargaining Power of Suppliers
4.4.2. Bargaining Powers of Customers
4.4.3. Threat of New Entrants
4.4.4. Rivalry among Existing Players
4.4.5. Threat of Substitutes
Chapter 5. Artificial Intelligence Engineering Market - Landscape
5.1. Value Chain Analysis – Key Stakeholders Impact Analysis
5.2. Market Drivers
5.3. Market Restraints/Challenges
5.4. Market Opportunities
Chapter 6. Artificial Intelligence Engineering Market - By Offering
6.1 Hardware
6.2 Software
6.3 Services
Chapter 7. Artificial Intelligence Engineering Market - By Technology
7.1 Deep Learning
7.2 Machine Learning
7.3 Natural Language Processing (NLP)
7.4 Computer Vision
Chapter 8. Artificial Intelligence Engineering Market - By Deployment Mode
8.1 Cloud-Based
8.2 On-Premises
Chapter 9. Artificial Intelligence Engineering Market - By End-Use
9.1 Banking, Financial Services, and Insurance (BFSI)
9.2 Automotive
9.3 IT & Telecommunications
9.4 Education & Research
9.5 Government & Public Sector
9.6 Healthcare
9.7 Manufacturing
9.8 Others
Chapter 10. Artificial Intelligence Engineering Market - By Region
10.1 North America
10.2 Europe
10.3 Asia-Pacific
10.4 Latin America
10.5 The Middle East
10.6 Africa
Chapter 11. Artificial Intelligence Engineering Market - Key Players
11.1 Google LLC (United States)
11.2 IBM Corporation (United States)
11.3 Amazon Web Services, Inc. (United States)
11.4 Cisco Systems Inc. (United States)
11.5 Nvidia Corporation (United States)
11.6 Microsoft Corporation (United States)
11.7 Siemens AG (Germany)
11.8 Oracle Corporation (United States)
11.9 SAP SE (Germany)
11.10 Alibaba Cloud (China)
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Frequently Asked Questions
Global Artificial Intelligence Engineering Market is estimated to be worth USD 8.12 Billion in 2022 and is projected to reach a value of USD 105.57 Billion by 2030, growing at a CAGR of 37.8% during the forecast period 2023-2030.
The Global Artificial Intelligence Engineering Market Drivers are the Extensive Adoption of Automation across Diverse Sectors and the Rising Demand for Big Data in the Business Decision-Making Process
Based on the Offering, the Global Artificial Intelligence Engineering Market is segmented into Hardware, Software, and Services.
The United States is the most dominating country in the region of North America for the Global Artificial Intelligence Engineering Market.
Google LLC, IBM Corporation, and Amazon Web Services, Inc. are the major players in the Market.
