Artificial Intelligence (AI) Market to grow by USD 237.4 Billion (2024-2028), Fraud Prevention and malicious attacks Drives Growth, Report Explores Market Evolution Powered by AI - Technavio

NEW YORK, Feb. 4, 2025 /PRNewswire/ -- Report on how AI is driving market transformation - The global Artificial intelligence (AI) market size is estimated to grow by USD 237.4 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of  30.07%  during the forecast period. Prevention of fraud and malicious attacks is driving market growth, with a trend towards increase in cloud-based ai services. However, shortage of ai experts  poses a challenge. Key market players include 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.

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Artificial Intelligence (AI) is revolutionizing businesses across various sectors with trends like deep learning, data analytics, and data science leading the way. Deep learning techniques and machine learning algorithms are powering advancements in computer vision and natural language processing. Cognitive solutions, cloud computing, and cognitive computing are transforming industries such as healthcare, banking, and e-commerce. Ethical and regulatory concerns, privacy issues, and bias in algorithms are key challenges. AI is disrupting job markets, requiring skilled professionals in software engineering and data science. Automation through robotics, chatbots, and virtual assistants is enhancing customer experiences. Edge AI and IoT are driving innovation in IT and telecommunication. Pretrained models and customizable AI are making AI accessible to businesses of all sizes. Biopharmaceutical companies, financial firms, and retailers are leveraging AI for trend forecasting, fraud prevention, and workflow management. Cutting-edge technology from tech giants and next-generation tech fields like SaaS, open-source AI platforms, and hardware are fueling the growth of the AI market. 

Artificial Intelligence (AI) is revolutionizing business operations by enabling advanced automation and analytics. Companies are adopting AI for various applications such as recommendation engines, pricing optimization, lead generation, chatbots, and supply chain optimization. However, implementing AI in an on-premises data center requires substantial computer and data storage capabilities. Developing in-house AI products can be costly, leading many businesses to consider cloud-based solutions instead. By leveraging AI, companies can improve efficiency, enhance customer experience, and gain a competitive edge. 

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•         The Artificial Intelligence (AI) market is experiencing rapid growth, with deep learning, data analytics, and data science at its core. Businesses in various sectors including healthcare, banking, e-commerce, and IT & telecommunication are leveraging AI for cognitive solutions, computer vision, and natural language processing. However, challenges such as data management, ethical concerns, regulatory issues, and privacy concerns persist. Advanced techniques like machine learning algorithms, deep learning techniques, and generative AI are driving innovation in areas like conversational AI, robotics, and edge computing. SaaS companies and tech giants are leading the way in next-generation tech fields, while open-source AI platforms offer customizable solutions. Pretrained models and AI marketplaces are simplifying access to AI for businesses. In industries like finance, cybersecurity, and legal, AI is revolutionizing fraud prevention, workflow management, and trend forecasting. The future of AI is bright, with advancements in hardware, software, and data storage enabling parallel processing and on-premises solutions. However, job displacement and bias in algorithms are significant concerns that need to be addressed. Skilled AI professionals are in high demand to meet the evolving needs of businesses.

•         Many businesses express interest in implementing Artificial Intelligence (AI) solutions, but face challenges in doing so due to resource constraints. AI applications, such as machine learning and deep learning, necessitate access to substantial data sets, specialized infrastructure, and significant processing power. Moreover, employing a team of AI experts is essential for successful implementation. However, the competition for top AI talent is intense, making recruitment challenging. Additionally, companies must carefully consider the appropriate use cases for AI algorithm deployment before investing in large-scale implementation. These requirements demand substantial investments, making AI an expensive and elusive solution for most businesses.

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This artificial intelligence (ai) market report extensively covers market segmentation by  

1. Component 
• 1.1 Software
• 1.2 Hardware
• 1.3 Services
2. End-user 
• 2.1 Retail
• 2.2 Banking
• 2.3 Manufacturing
• 2.4 Healthcare
• 2.5 Others
3. Geography 
• 3.1 North America
• 3.2 Europe
• 3.3 APAC
• 3.4 South America
• 3.5 Middle East and Africa
4. Technology

1.1 Software-  Artificial Intelligence (AI) market growth is driven by the increasing use of AI software by developers to create intelligent applications. These tools, including algorithms, libraries, frameworks, and developer kits, enable the integration of machine learning and speech recognition capabilities into software. The adoption of AI in software development is becoming standardized, enhancing employee experience and automating manual tasks. Companies benefit from improved efficiency and better decision-making, while software engineers develop solutions for various sectors, such as corporates, using AI software. The reliance on AI software is expected to continue growing, fueling the expansion of the AI market.

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Artificial Intelligence (AI) is a next-generation tech field that leverages deep learning techniques, machine learning algorithms, and cognitive solutions to enable systems to learn and perform tasks that typically require human intelligence. Deep learning, a subset of machine learning, uses neural networks and large datasets for training. Data analytics and data science are crucial components, providing the foundation for deriving insights from big data. Software engineering, algorithms, and intelligence standards ensure the development and implementation of reliable AI systems. Cloud computing, hardware, and data storage facilitate the deployment and processing of AI applications. Computer vision and natural language processing enable machines to interpret and understand visual and textual data. AI is transforming various industries, including healthcare, with automated image diagnostic and fraud prevention systems. Tech Giants, SaaS companies, and open-source AI platforms are driving the adoption of AI in diverse sectors. Parallel processing and on-premises solutions cater to specific use cases and performance requirements. Pretrained models accelerate the development of AI applications, while machine learning algorithms continue to evolve, pushing the boundaries of what's possible.

Artificial Intelligence (AI) is a cutting-edge technology that encompasses deep learning, data analytics, data science, software engineering, cognitive solutions, and various techniques such as computer vision, natural language processing, and algorithms. It's transforming industries like healthcare, banking, e-commerce, and more, with applications ranging from chatbots and virtual assistants to robot-assisted surgery and automated image diagnostics. AI is powered by supercomputers and quantum computers, with machine learning algorithms and big data analysis at its core. However, ethical and regulatory concerns, privacy issues, bias in algorithms, and job displacement are significant challenges. Skilled AI professionals are in high demand, and automation, robotics, and edge AI are driving innovation. AI is also being used in IT and telecommunication, retail & e-commerce, agriculture, media and entertainment, finance & accounting, cybersecurity, legal and compliance, and operation. Pretrained models, customizable AI, and AI marketplaces are making AI more accessible, while biopharmaceutical companies and private sectors are leveraging AI for fraud prevention, workflow management tools, trend forecasting, and financial firms. Conversational artificial intelligence is revolutionizing customer service, while next-generation tech fields like generative AI, open-source AI platforms, and hardware and software are pushing the boundaries of what's possible.

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

• Component
• Software
• Hardware
• Services
• End-user
• Retail
• Banking
• Manufacturing
• Healthcare
• Others
• Geography
• North America
• Europe
• APAC
• South America
• Middle East And Africa
• Technology

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

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SOURCE Technavio