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Artificial Intelligence (AI) Engineering Market Analysis 2023: Market Growth, Trends And Forecast 2032 | Alphabet Inc., Microsoft Corporation, Meta Platform Inc., Dell Technologies Inc., Huawei Technologies Co. Ltd
Artificial Intelligence (AI) Engineering Market
The Business Research Company's Artificial Intelligence (AI) Engineering Global Market Report 2023 identifies rapid adoption of automation as the major driver for the Artificial Intelligence (AI) Engineering market's growth in the forecast period. Automation refers to developing and using technology to manufacture and distribute goods and services with little human assistance. Automation in the AI engineering sector speeds up development, improves productivity, and streamlines procedures, resulting in the broad adoption of AI technology across various sectors.
The global artificial intelligence (AI) engineering market is expected to grow from $8.28 billion in 2022 to $11.49 billion in 2023 at a compound annual growth rate (CAGR) of 38.9%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic. The war between these two countries has led to economic sanctions on multiple countries, surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and resulted in increased interest rates affecting many markets across the globe. The artificial intelligence (AI) engineering market is expected to reach $42.3 billion in 2027, at a CAGR of 38.5%.
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Major competitors in the Artificial Intelligence (AI) Engineering market are Alphabet Inc., Microsoft Corporation, Meta Platform Inc., Dell Technologies Inc., Huawei Technologies Co. Ltd.
A key trend in the Artificial Intelligence (AI) Engineering market includes technological advancement. Major companies operating in the artificial intelligence (AI) engineering market are adopting new technologies to sustain their position in the market. For instance, in March 2023, Mach9 Robotics Inc., a US-based geospatial technology company, launched new geospatial production software. The new tool uses computer vision and AI to produce 2D and 3D CAD engineering deliverables quickly. This is Mach9's conversion from a hardware-first to a software-first business model, brought on by the expanding need for tools that quicken the processing and analysis of geospatial data for infrastructure management.
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The Artificial Intelligence (AI) Engineering market is segmented -
1. By Solution: Hardware, Software, Services
2. By Technology: Deep Learning, Machine Learning, Natural Language Processing, Computer Vision
3. By Deployment: On-Cloud, On-Premise
4. By End-User: Healthcare, Automotive And Transportation, Agriculture, Information Technology (IT), Business Management, Other End-Users
5. By Geography: Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. North America was the largest region in the Artificial Intelligence (AI) Engineering market.
The Business Research Company's "Global Artificial Intelligence (AI) Engineering Market Report 2023" provides a thorough understanding of the market across 60 geographies. The report covers market size, growth rate, segments, drivers and trends in every region and country. In addition, the report offers insights on historical and forecast growth, helping players analyze and strategize better.
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The Table Of Content For The Artificial Intelligence (AI) Engineering Market Include:
1. Executive Summary
2. Artificial Intelligence (AI) Engineering Market Characteristics
3. Artificial Intelligence (AI) Engineering Market Trends And Strategies
4. Artificial Intelligence (AI) Engineering Market - Macro Economic Scenario
5. Global Artificial Intelligence (AI) Engineering Market Size and Growth
……
32. Global Artificial Intelligence (AI) Engineering Market Competitive Benchmarking
33. Global Artificial Intelligence (AI) Engineering Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Artificial Intelligence (AI) Engineering Market
35. Artificial Intelligence (AI) Engineering Market Future Outlook and Potential Analysis
36. Appendix
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