| 出版社 | MarketsandMarkets |
| 出版年月 | 2025年2月 |
Artificial Intelligence in Retail Market – Global Forecast To 2030
The Artificial intelligence in retail market is estimated to be USD 31.12 billion in 2024 to USD 164.74 billion in 2030 at a CAGR of 32.0% from 2024 to 2030.
小売業向け人工知能（AI）市場は、2024 年から 2030 年までの CAGR 32.0% で、2024 年に 311 億 2000 万米ドルから 2030 年には 1,647 億 4000 万米ドルになると推定されています。
One of the primary drivers for AI adoption in retail is the growing consumer demand for personalized shopping experiences. AI technologies such as machine learning and natural language processing enable retailers to analyze large volumes of consumer data to understand preferences and behavior patterns. This data-driven insight allows retailers to offer personalized recommendations, targeted promotions, and tailor-made marketing strategies. AI solutions are becoming essential for businesses seeking to enhance customer engagement and satisfaction due to hyper-personalization in the retail market.
小売業における AI 導入の主な推進要因の 1 つは、パーソナライズされたショッピング エクスペリエンスに対する消費者の需要の高まりです。機械学習や自然言語処理などの AI テクノロジーにより、小売業者は大量の消費者データを分析して好みや行動パターンを理解できるようになります。このデータに基づいた洞察により、小売業者はパーソナライズされた推奨事項、ターゲットを絞ったプロモーション、およびオーダーメイドのマーケティング戦略を提供できるようになります。小売市場におけるハイパーパーソナライゼーションにより、顧客エンゲージメントと満足度の向上を目指す企業にとって、AI ソリューションは不可欠なものになりつつあります。
The major players in the Artificial intelligence in retail market are Microsoft (US), IBM (US), Google (US), Amazon (US), Oracle (US), Salesforce (US), NVIDIA (US), SAP (Germany), Servicenow (US), Accenture (Ireland), Infosys (India), Alibaba (China), Intel (US), AMD (US), Fujitsu (Japan), Capgemini (France), TCS (India), Talkdesk (US), Symphony AI (US), Bloomreach (US), C3.AI (US), Visenze (Singapore), Pathr.ai (US), Vue.AI (US), Nextail (Spain), Daisy Intelligence (Canada), Cresta (US), Mason (US), Syte(Israel), Trax(Singapore), Feedzai(US) and Shopic(Israel). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their artificial intelligence in retail footprint.
The report provides insights on the following pointers:
Analysis of key drivers (increasing adoption of conversational AI in retail for advice and recommendations, evolving consumer expectations and social commerce integration, enhancing checkout experiences with AI-powered automation, data-driven decision making), restraints (high implementation costs, data privacy and security), opportunities (AI-powered customer engagement, enhanced decision-making with predictive analytics, AI in supply chain optimization) and challenges (addressing rising theft and fraud issues, integration with legacy systems, ethical concerns in AI) influencing the growth of the artificial intelligence in retail market.
- Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product and service launches in the artificial intelligence in retail market.
- Market Development: Comprehensive information about lucrative markets – the report analyses various regions’ artificial intelligence in retail markets.
- Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the artificial intelligence in retail market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as Microsoft (US), IBM (US), Google (US), Amazon (US), Oracle (US), Salesforce (US), NVIDIA (US), SAP (Germany), Servicenow (US), Accenture (Ireland), Infosys (India), Alibaba (China), Intel (US), AMD (US), Fujitsu (Japan), Capgemini (France), TCS (India), Talkdesk (US), Symphony AI (US), Bloomreach (US), C3.AI (US), Visenze (Singapore), Pathr.ai (US), Vue.AI (US), Nextail (Spain), Daisy Intelligence (Canada), Cresta (US), Mason (US), Syte (Israel), Trax (Singapore), Feedzai (US) and Shopic (Israel).