PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1472172
PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1472172
Global Artificial Intelligence Based Shoe Market is valued approximately USD 189.64 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 20.9% over the forecast period 2023-2030. Artificial Intelligence Based Shoe refers to footwear that incorporates AI technology in its design or functionality. These shoes utilize AI algorithms and sensors to enhance various aspects of performance, comfort, or customization for the wearer. The Artificial Intelligence Based Shoe market is expanding because of factors such as rising integration of artificial intelligence in fashion and increasing demand of athletic footwear. AI sensors embedded within the shoe can collect data on the wearer's movements, such as gait, stride length, and foot pressure distribution. This data can be analyzed to provide insights into running or walking form, helping athletes optimize their performance and reduce the risk of injury. As a result, the demand of Artificial Intelligence Based Shoe has progressively increased in the international market during the forecast period 2023-2030.
Artificial Intelligence enables personalized experiences by analyzing customer data such as foot shape, gait patterns, and preferences. This data can be used to create custom-designed shoes tailored to individual needs, offering superior comfort and fit. According to the Statista, global artificial intelligence in fashion accounts USD 474.5 million and projected to reach up to USD 4391.7 million by the year 2027. Furthermore, AI can generate innovative designs by processing vast amounts of data and identifying patterns that human designers might overlook. This allows for the creation of unique and aesthetically appealing shoe designs that stand out in the market.
Another important factor drives the Artificial Intelligence Based Shoe market is increasing demand of athletic footwear. Athletes and fitness enthusiasts are constantly seeking ways to improve their performance and prevent injuries. AI-based shoes can provide valuable insights into biomechanics and performance metrics, allowing wearers to optimize their training routines and minimize the risk of injuries. In addition, as per Statista, the global athletic footwear market accounts USD 45.3 billion and projected to reach up to USD 64.92 billion by the year 2028. Moreover, growing popularity of sports activities and increasing demand of wearable technology is anticipated to create a lucrative growth opportunity for the market over the forecast period. However, high cost of artificial intelligence-based shoe and availability of substitute products is going to impede overall market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global Artificial Intelligence Based Shoe Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the rising demand of personalized and customized shoes in the region. AI enables mass customization by efficiently adapting designs to meet individual customer requirements. This means that even though customers want unique designs, AI can streamline the production process, making it cost-effective to produce personalized shoes at scale. The region's dominant performance is anticipated to propel the overall demand of Artificial Intelligence Based Shoe. Furthermore, Asia Pacific is expected to grow fastest during the forecast period, owing to factors such as rising awareness about health and fitness among consumers in the region. AI-based shoes can provide real-time feedback and coaching to users during their workouts or runs. This personalized guidance can help individuals improve their form, prevent injuries, and maximize the effectiveness of their exercise routines. With growing health consciousness, consumers are increasingly seeking tools that can enhance their performance and overall well-being.
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
List of tables and figures and dummy in nature, final lists may vary in the final deliverable
List of tables and figures and dummy in nature, final lists may vary in the final deliverable