Market Trends of United States Digital Transformation Industry
Analytics, Artificial Intelligence and Machine Learning is Analyzed to Gain Significant Traction
- The demand for analytics, artificial intelligence, and machine learning is witnessing an increase across industries in the United States to identify repetitive, time-consuming, and labor-intensive tasks and automate them to simplify business processes. Generative AI models, such as ChatGPT and Bard, are playing a pivotal role in the widespread adoption of AI across various industries in the United States.
- For instance, in July 2024, Kore.ai, a US-based prominent player in enterprise generative and conversational AI technology, unveiled GALE—Generative AI and LLM Platform for Enterprises. GALE emerged as the industry's inaugural platform tailored for GenAI applications, empowering businesses to rapidly develop, deploy, and scale advanced AI applications within an enterprise setting. Featuring a no-code toolset and an intuitive visual interface, GALE streamlines the process, allowing developers without specialized AI expertise to experiment with various models and create and launch AI agents.
- According to a 2023 survey by Fishbowl involving US professionals, 37% of advertising or marketing used artificial intelligence (AI) for work tasks. In contrast, healthcare reported the lowest adoption, incorporating only 15% of AI in their work. Moreover, 35% of those working in the technology sector used artificial intelligence (AI) to assist with work-related tasks.
- Partnerships among major market vendors in the data analytics and GenAI field are analyzed to augment the adoption of analytics, AI, and ML among the country's businesses over the forecast period. For instance, in April 2024, Informatica announced new solutions, product innovations, and an expanded collaboration with Google Cloud. Informatica launched its Master Data Management (MDM) Extension for Google Cloud BigQuery, making it faster and easier to get trusted MDM data that can be used for analytics and generative AI (Gen AI) applications across industries such as financial services, retail, and healthcare.
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Healthcare Sector is Analyzed to Hold a Significant Market Share
- The country's healthcare sector is witnessing significant growth in the adoption of advanced technologies to enhance patient care. The use of advanced technologies such as artificial intelligence, machine learning, cloud, cybersecurity, and edge computing is growing at a rapid pace in healthcare organizations across the country. Generative AI (GenAI) is emerging as the crucial technology to be adopted in the country's healthcare sector, with many market vendors launching innovative solutions to equip healthcare organizations with Gen AI capabilities.
- For instance, in March 2024, NVIDIA unveiled over two dozen new microservices tailored for global healthcare enterprises. These microservices leverage cutting-edge generative AI, empowering users to leverage these advancements across various cloud platforms. The suite comprises NVIDIA NIM AI models, complete with industry-standard APIs. These APIs act as foundational elements, facilitating the seamless creation and deployment of cloud-native applications. The microservices cater to a range of functions, including advanced imaging, natural language processing, speech recognition, and digital biology for prediction and simulation.
- The healthcare sector in the country faces an escalating number of data breaches, underscoring the urgent need for heightened cybersecurity measures. This urgency is further amplified by stringent data privacy regulations and an uptick in sophisticated cyber attacks targeting the sector. Consequently, there is a surging demand for cybersecurity solutions and services catalyzing the digital transformation within the healthcare industry. In 2023, the US healthcare sector witnessed over 809 data compromise incidents, as reported by the Identity Theft Resource Center, marking a record high.
- The healthcare industry in the United States continually leverages technological advancements to enhance patient care, striving for more personalized treatments and more successful outcomes. Technological breakthroughs, such as telemedicine, robotic process automation, and remote patient monitoring, have significantly reshaped patient care in the United States. In the coming years, a greater adoption of emerging technologies will shape the future of digital transformation in the country's healthcare sector.
