市場調查報告書
商品編碼
1567259
零售業人工智慧市場:按技術、按應用、按最終用戶、按地區Artificial Intelligence in Retail Market, By Technology, By Application, By End User, By Geography |
預計2024年零售業人工智慧的全球市場規模為104.8億美元,預計到2031年將達到730.2億美元,2024年至2031年的複合年成長率為32%。
報告範圍 | 報告詳情 | ||
---|---|---|---|
基準年 | 2023年 | 2024年市場規模 | 104.8億美元 |
實際資料 | 2019-2023 | 預測期 | 2024年至2031年 |
預測 2024-2031 年複合年成長率: | 32.00% | 2031年價值預測 | 730.2億美元 |
人工智慧 (AI) 正在以前所未有的速度改變各行各業,零售業也不例外。人工智慧正在應用於零售體驗的關鍵領域,從產品推薦到無人商店。人工智慧為零售商提供了巨大的機會,包括獲得更深入的客戶洞察、最佳化營運和庫存以及提供更個人化的體驗。先進的演算法正在為電腦視覺等新技術提供動力,使人工智慧系統能夠看到並理解視覺輸入。這使得創新應用成為可能,從看到並理解消費者需求的虛擬助理到無人商店。人工智慧正在引領超個人化互動、客製化產品推薦和無摩擦購物體驗的新時代。
全球零售人工智慧市場的成長是由對個人化購物體驗、用於降低風險和最佳化業務的預測分析以及自動化重複任務以提高生產力的需求不斷成長所推動的。然而,實施先進人工智慧技術的高昂成本和熟練人才的缺乏阻礙了其更快的採用。關鍵機會包括利用電腦視覺進行視覺搜尋、虛擬/擴增實境零售和無人商店等應用。邊緣運算等技術進步也推動了人工智慧的採用,即使連接有限,邊緣運算也支援進階分析。零售巨頭正在大力投資開發創新人工智慧解決方案的新興企業,以提高競爭力並改善客戶體驗。
本報告對全球零售業人工智慧市場進行了詳細分析,並提供了以2023年為基準年的預測期(2024-2031年)的市場規模和年複合成長率(CAGR%)。
它還揭示了各個細分市場的潛在商機,並說明了該市場有吸引力的投資提案矩陣。
它還提供了有關市場促進因素、限制因素、機會、新產品發布和核准、市場趨勢、區域前景、主要企業採取的競爭策略等的主要考察。
它根據公司亮點、產品系列、主要亮點、財務表現和策略等參數,介紹了全球零售市場人工智慧的主要企業。
本研究涵蓋的主要企業包括AdAdobe、阿里巴巴集團、Amazon Web Services (AWS)、Apple、Appier、Ceconomy、Edeka、Foot Locker、Home Depot、IBM、Kroger、Lemon AI、Lowe's、Microsoft、NIKE 等。
該報告的見解使負責人和公司經營團隊能夠就未來的產品發布、類型升級、市場擴張和行銷策略做出明智的決策。
本研究報告針對該產業的各個相關人員,如投資者、供應商、產品製造商、經銷商、新進業者和財務分析師。
相關人員可以透過用於分析全球零售人工智慧市場的各種策略矩陣來促進決策。
The Global Artificial Intelligence in Retail Market is estimated to be valued at USD 10.48 Bn in 2024 and is expected to reach USD 73.02 Bn by 2031, exhibiting a compound annual growth rate (CAGR) of 32% from 2024 to 2031.
Report Coverage | Report Details | ||
---|---|---|---|
Base Year: | 2023 | Market Size in 2024: | US$ 10.48 Bn |
Historical Data for: | 2019 to 2023 | Forecast Period: | 2024 to 2031 |
Forecast Period 2024 to 2031 CAGR: | 32.00% | 2031 Value Projection: | US$ 73.02 Bn |
Artificial Intelligence (AI) is transforming industries at an unprecedented rate, and retail is no exception. AI is being applied to crucial areas of the retail experience from product recommendations to autonomous stores. AI presents a massive opportunity for retailers to gain deeper customer insights, optimize operations and inventory, and provide more personalized experiences. Advanced algorithms are powering new technologies like computer vision, which allows AI systems to see and understand visual inputs. This enables innovative applications from virtual assistants that see and understand consumer needs to autonomous checkout-free stores. AI is ushering in a new era of hyper-personalized interactions, customized product recommendations, and frictionless shopping experiences.
The global artificial intelligence in retail market growth is driven by the growing need for personalized shopping experiences, predictive analysis to reduce risks and optimize operations, and automation of repetitive tasks to improve productivity. However, high implementation costs of advanced AI technologies and lack of skilled talent are restraining faster adoption. Key opportunities include leveraging computer vision for applications like visual search, virtual/augmented reality retail, and autonomous stores. Adoption of AI is also being encouraged by technological advancements such as edge computing that support advanced analytics even with limited connectivity. Retail giants are investing heavily in startups developing innovative AI solutions to gain a competitive edge and enhance customer experiences.
This report provides in-depth analysis of the global artificial intelligence in retail market, and provides market size (US$ Bn) and compound annual growth rate (CAGR%) for the forecast period (2024-2031), considering 2023 as the base year
It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players
It profiles key players in the global artificial intelligence in retail market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies
Key companies covered as a part of this study include Adobe, Alibaba Group, Amazon Web Services (AWS), Apple, Appier, Ceconomy, Edeka, Foot Locker, Home Depot, IBM, Kroger, Lemon AI, Lowe's, Microsoft, and NIKE
Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
The global artificial intelligence in retail market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global artificial intelligence in retail market.
Detailed Segmentation-