Innova Research Won Consulting Project to Prompt the Use of AI Technologies in Elderly Care Service in Shanghai

Innova Research won a consulting project to provide strategic advice on how to prompt the use of Artificial Intelligent (AI) and other technologies in elderly care services in Shanghai. The project, sponsored by the Shanghai Overseas Returned Scholar’s Association (SORSA), aims to map out the AI and other technology types that are relatively close to the market adoption, by assessing their market needs, technology maturity and cost feasibility. Based on the analysis, suggestions will be made on how to better utilize the AI technologies in elderly care service, and which technologies should get the priority in terms of government policy supports to accelerate their market adoption. This is the fourth consecutive year for Innova Research to win technology and innovation policy consulting projects with SORSA.

The Chinese population is aging rapidly, especially in some large cities such as Shanghai. According to the statistics released by the Shanghai Municipal Government, by the end of 2016, 4.58 million, or 31.6% of the city’s population, were 60 or older. Among these, around 1.9 million were more than 70 years old. The rapidly aging population dramatically increases the demands on elderly care and other relevant services, while AI and other relevant technologies are believed to be able to play a role to improve the quality of the life of the elderly by making their life more convenient and safer, and to ease the pressure on the shortage of elderly care services in the city.

The fast aging population in China creates huge demands on AI and other relevant technologies, including but not limited to voice recognition, voice control, remote health monitoring and the relevant data analysis. While many such technologies are still in their early stages, some are close to the massive adoption. Government policies and other supports should be primarily given to the technologies that have large demands, good technology maturity and cost feasibility, to efficiently prompt the use of the selected technologies in elderly care services in Shanghai.

Richard Jun Li, Head of Research at Innova Research

Richard Jun Li, Head of Research at Innova Research commented: "The fast aging population in China creates huge demands on AI and other relevant technologies, including but not limited to voice recognition, voice control, remote health monitoring and the relevant data analysis. While many such technologies are still in their early stages, some are close to the massive adoption. Government policies and other supports should be primarily given to the technologies that have large demands, good technology maturity and cost feasibility, to efficiently prompt the use of the selected technologies in elderly care services in Shanghai."

About Innova Research

Innova Research is a market research and consulting firm focusing on emerging technologies. With the combination of both technology and market research experts, we offer world-class market and technology intelligence. Driven by primary research, Innova Research’s market intelligence reports and consulting service help our clients to make right strategic and investment decisions in the fast-changing technology world. Visit www.innovaresearchinc.com for more information.

Source: Innova Research

About Innova Research

Innova Research is a leading market research and consulting firm specializing in emerging technologies. With a keen focus on advanced materials, renewable energy and environmental technologies, advanced electronics, industry internet and robotics, energy storage, and more, Innova Research provides valuable market intelligence reports, technology scouting, and consulting services. With a team of industry experts and a commitment to delivering cutting-edge insights, Innova Research empowers marketing & strategy, corporate VC, corporate R&D, and VC clients to make informed decisions and thrive in the rapidly changing technology landscape, by leveraging primary research and in-depth analysis.

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