As part of the AI/ML Action Plan, the FDA is highlighting its intention to develop an update to the proposed regulatory framework presented in the AI/ML-based SaMD discussion paper, including through the issuance of draft guidance on the predetermined change control plan.

According to the report, The Emergence of Mobile Technology in Diabetes Management is one of the primary growth factors for the market. Unhealthy Lifestyle Leading to Increasing Number of Patient with Diabetes is also expected to contribute significantly to the Artificial Intelligence In Diabetes Management market. Overall, Automated Retinal Screening applications of Artificial Intelligence In Diabetes Management, and the growing awareness of them, is what makes this segment of the industry important to its overall growth. The End Users, such as Hospitals and Clinics, is boosting the Artificial Intelligence In Diabetes Management market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.The Techniques , such as Cased Based Reasoning, is boosting the Artificial Intelligence In Diabetes Management market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.The Device , such as Glucose Monitoring Devices, is boosting the Artificial Intelligence In Diabetes Management market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

New technologies and major shifts in the industry will be game-changing factors that all players have to react now in order to maintain strong positions in the future. As many industry experts agree that significant changes are ahead. AMA’s Analyst on the Global Artificial Intelligence In Diabetes Management market identified that the demand is rising in many different parts of the world as "Technological Development and Product Innovations". Furthermore, some recent industry insights like "In June 2022, Diabeloop rounds up €70M to take AI-powered insulin delivery tech global. closed-loop insulin delivery systems or artificial pancreas, and they use blood sugar readings from continuous glucose monitors to automatically adjust the settings on connected insulin pumps. As an alternative to an FDA-cleared all-in-one system from Medtronic, U.S. patients can also combine insulin pumps from Insulet or Tandem with a Dexcom CGM to create a hybrid version, while Europeans have access to similar CE-marked hybrid systems powered by artificial intelligence algorithms from Diabeloop. But the Diabeloop mechanism may soon make its way stateside as well" which is constantly making the industry very dynamic.

The report provides an in-depth analysis and forecast about the industry covering the following key features:
o Industry outlook including current and future market trends, drivers, restraints, and emerging technologies
o Analyses the Global Artificial Intelligence In Diabetes Management market according to Type, Application, and regions
o Analyzes the top 10 players in terms of market reach, business strategy, and business focus
o Provides stakeholders’ insights and key drivers & trends of the market

**The market is valued based on weighted average selling price (WASP) and includes any applicable taxes on manufacturers. All currency conversions used in the creation of this report have been calculated using constant annual average 2022 currency rates.

Market Size Estimation
In market engineering method, both top-down and bottom-up approaches have been used, along with various data triangulation process, to predict and validate the market size of the Artificial Intelligence In Diabetes Management market and other related sub-markets covered in the study.

o Key & emerging players in the market have been observed through secondary research.
o The industry’s supply chain and overall market size, in terms of value, have been derived through primary and secondary research processes.
o All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation
The overall Artificial Intelligence In Diabetes Management market size is calculated using market estimation process, the Artificial Intelligence In Diabetes Management market was further split into various segments and sub-segments. To complete the overall market engineering and arriving at the exact statistics for all segments and sub-segments, the market breakdown and data triangulation procedures have been utilized, wherever applicable. The data have been triangulated by studying various influencing factors and trends identified from both demand and supply sides of various applications involved in the study. Along with this, the Global Artificial Intelligence In Diabetes Management market size has been validated using both top-down and bottom-up approaches.