Press release
Key Trend Reshaping the Artificial Intelligence (AI) Engineering Market in 2025: AI And Computer Vision Transforming Geospatial Engineering
Artificial Intelligence (AI) Engineering Market Size
The increasing embrace of automation is predicted to spur the expansion of the artificial intelligence (AI) engineering market in the future. Automation pertains to the creation and application of technology in the production and distribution of goods and services, requiring minimal human interference. Within the AI engineering field, automation accelerates development, enhances efficiency and unifies processes, encouraging widespread adoption of AI tech across numerous industries. For example, the International Federation of Robotics, a non-profit organization based in Germany, reported in April 2024 that the total count of industrial robot installations had surged by 12%, hitting 44,303 units in 2023. As such, the speedy adoption of automation is fueling the growth of the artificial intelligence (AI) engineering market.
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What is the projected compound annual growth rate (CAGR) of the artificial intelligence (ai) engineering market from 2025 to 2034, and what factors influence it?
The scale of the artificial intelligence (AI) engineering market has surged dramatically in the past years. It is forecasted to expand from $15.67 billion in 2024 to $21.53 billion in 2025, indicating a compound annual growth rate (CAGR) of 37.4%. This substantial growth during the historical interval is linked to enhanced processing power, booming availability of large data sets, escalating demands for automation, and the proliferation of cloud computing.
In the coming years, experts anticipate witnessing an enormous expansion in the artificial intelligence (AI) engineering market. By 2029, it is predicted to rise to a whopping $84.38 billion, with a compound annual growth rate (CAGR) of 40.7%. Such massive development during the forecast period can be linked to a multitude of factors. These include the rise in demand for AI-powered cybersecurity solutions, augmentation in edge computing, broadened use of AI in the healthcare sector, and increased reliance on AI in customer service. The forecast period will mark several key trends such as improved development of explainable AI, AI's rising role in drug discovery and healthcare research, the surging use of AI in human resources and the appearance of AI-driven design and creativity tools. The period will also witness a mounting focus on ethical AI development.
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How are the latest trends influencing the growth of the artificial intelligence (ai) engineering market?
The proliferation of technological innovation is a leading trend that is gaining momentum in the artificial intelligence (AI) engineering market. Key businesses in this industry are harnessing groundbreaking technologies to maintain their coveted positions in the market. For instance, Mach9 Robotics Inc., an American geospatial technology firm, unveiled a novel geospatial production software in March 2023. This revolutionary tool utilises AI and computer vision to swiftly create 2D and 3D CAD engineering outputs. Mach9's shift from prioritising hardware to focusing on software reflects the growing demand for instruments that speed up the interpretation and processing of geospatial data for the efficient oversight of infrastructural systems.
What are the major segments of the artificial intelligence (ai) engineering market and their role in driving growth?
The artificial intelligence (AI) engineering market covered in this report 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
Subsegments:
1) By Hardware: AI Processors, Edge Devices, Servers
2) By Software: AI Frameworks And Libraries, Machine Learning Platforms, Natural Language Processing Software, Computer Vision Software
3) By Services: AI Consulting Services, Integration Services, Maintenance And Support Services, Training Services
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Which regions are key players in the growth of the artificial intelligence (ai) engineering market?
North America was the largest region in the artificial intelligence (AI) engineering market in 2024. The regions covered in the artificial intelligence (AI) engineering market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
Who are the key firms paving the way for growth in the artificial intelligence (ai) engineering market?
Major companies operating in the artificial intelligence (AI) engineering market include Alphabet Inc., Microsoft Corporation, Meta Platform Inc., Dell Technologies Inc., Huawei Technologies Co. Ltd., Sony Group Corporation, Tencent Holdings Limited, Amazon Web Services Inc., Siemens AG, General Electric Company, Intel Corporation, accenture* LLP, International Business Machines Corporation, Samsung Electronics Co. Ltd., Cisco System Inc., Qualcomm Incorporated, Oracle Corporation, SAP SE, Hewlett Packard Enterprise Company, Nvidia Corporation, Salesforce Inc., Capgemini SE, Cognizant Technology Solutions Corporation, Infosys Limited, Baidu Inc., Alibaba Cloud, Zebra Technologies Corporation, Palantir Technologies Inc., UiPath Inc., Verint Systems Inc.
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What Is Covered In The Artificial Intelligence (AI) Engineering Global Market Report?
• Market Size Forecast: Examine the artificial intelligence (ai) engineering market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) engineering market for a structured understanding.
• Key Players Overview: Analyze major players in the artificial intelligence (ai) engineering market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) engineering market.
• Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) engineering market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) engineering market.
• Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) engineering market.
• Competitive Landscape: Review strategic developments in the artificial intelligence (ai) engineering market, including expansions, agreements, and new product launches.
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