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市場調査レポート
商品コード
1149933
小売におけるAIの世界市場規模、シェア、産業動向分析レポート:テクノロジー別、販売チャネル別(オムニチャネル、実店舗、オンライン専門小売業者)、コンポーネント別、アプリケーション別、地域別展望と予測、2022年~2028年Global AI In Retail Market Size, Share & Industry Trends Analysis Report By Technology, By Sales Channel (Omnichannel, Brick & Mortar, and Pure-play Online Retailers), By Component, By Application, By Regional Outlook and Forecast, 2022 - 2028 |
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小売におけるAIの世界市場規模、シェア、産業動向分析レポート:テクノロジー別、販売チャネル別(オムニチャネル、実店舗、オンライン専門小売業者)、コンポーネント別、アプリケーション別、地域別展望と予測、2022年~2028年 |
出版日: 2022年09月30日
発行: KBV Research
ページ情報: 英文 326 Pages
納期: 即納可能
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世界の小売におけるAI市場規模は、予測期間中にCAGR24.4%で成長し、2028年には241億米ドルに達すると予測されています。
例えば、WebサイトではAIを搭載したバーチャルアシスタントやチャットボットが、顧客のサイト利用状況や過去の購入履歴などの関連情報に応じて、パーソナライズされたおすすめ商品やダイナミックな価格設定を提供します。また、実店舗においても、モバイル端末やセンサーを通じた店舗内の顧客とのインタラクションなどのデータソースを活用したリテールAIの活用事例が存在します。
販売データなどをもとに学習させたアルゴリズムを用いて、店舗レイアウトを最適化することも可能です。例えば、2つの商品が近くに陳列されていると、人は同時に購入する傾向があるなど、結果を予測することができます。人工知能(AI)によって、小売業は変化しています。小売業者は、コンピュータビジョンを活用してリアルタイムでプロモーションを調整したり、機械学習を活用して在庫管理を行うなど、AIを活用して消費者と関わり、より効果的な経営を行うことができるのです。
COVID-19の影響分析
このパンデミックによってもたらされたWFH政策により、COVID-19の発生は、人工知能を含む次世代技術分野の市場成長を加速させると予想されます。世界中で利用可能性を高めるために、ハイテク企業も提供する製品やサービスの幅を広げています。そのため、小売業界内ではAIの統合が著しく進みました。したがって、市場の成長は着実に妨げられたが、AIの活用の増加は、小売業界におけるAIの成長を増強しました。
市場成長要因
コスト削減とエクスペリエンスの最適化における高い効率性
AIは、今後数年間で小売業を劇的に変化させ、コスト構造からショッピング体験に至るまで、あらゆるものに影響を与える能力を有しています。eコマースとAIは相性が良く、コロナウイルスの大流行によってeコマースの成長率が加速したため、AIの導入はより一層不可欠なものとなっています。AIの利点は、業界を変革します。したがって、小売業者はすぐにでも計画を立て始めなければなりません。そして、その計画にはテクノロジーだけでなく、ビジネス戦略も含まれる必要があります。
より高いサプライチェーン能力
全体として、人工知能の主な利点の1つは、繰り返しの多い、時間のかかる仕事をする人々を支援できることです。職場でAIの導入が進んだことで、生産性が向上したと考える労働者は相当数にのぼります。そして、小売業でAIが使われるようになると、同じようなことが起こるかもしれません。物流業界の促進要因は、AIを利用して最適な配送経路を発見することができます。さらに、ロボットが注文品の選択と梱包を支援することで、スタッフを他の重要な活動に従事させることができます。
市場抑制要因
高いコストと改善能力の欠如
機械が人間の知能を模倣することは素晴らしいことです。しかし、このようなAIを導入する場合、初期コストが非常に高くなります。非常に高価で、多くの時間とリソースが必要になることがあります。AIが非常に高価なのは、常に最新で基準を満たすために、最新のソフトウェアとハードウェアを機能させる必要があるからです。人工知能は、知識や経験があらかじめプログラムされているため、人間には作れない技術です。
コンポーネントの展望
コンポーネントに基づいて、小売におけるAI市場は、ソリューションとサービスに二分されます。2021年、ソリューションセグメントは、The AI in Retail市場の最大の収益シェアを獲得しました。多くの小売業が直面している経営上の問題は、新しい自動化技術の開発を促しています。小売業者は、AIを搭載したソリューションを利用することで、倉庫管理、サプライチェーン業務、物流を管理し、顧客体験を向上させることができます。
テクノロジーの展望
小売におけるAI市場は、テクノロジーに基づき、機械学習、自然言語処理、チャットボット、画像・映像解析、群知能に分別されます。2021年、機械学習セグメントは小売におけるAI市場で最も高い収益シェアを調達しました。このセグメントの成長は、この技術の高い精度と柔軟性により上昇しています。機械学習は、データを迅速かつ深く提供するため、顧客に個別の体験を提供するのに適しています。
販売チャネル展望
販売チャネル別では、小売におけるAI市場は、オムニチャネル、ブリックアンドモルタル、ピュアプレイのオンライン小売業に区分されます。2021年、ピュアプレイセグメントは、小売におけるAI市場で大きな収益シェアを獲得しました。オンラインおよびバーチャルショッピングの人気の高まりは、ピュアプレイのインターネット商人の発展を加速させると予想されます。AI、IoT、ソーシャルメディアが普及し、小売におけるAI市場の拡大につながると思われます。
アプリケーションの展望
小売におけるAI市場は、アプリケーションベースで、顧客関係管理(CRM)、サプライチェーンと物流、在庫管理、商品最適化、店舗内ナビゲーション、決済と価格分析、バーチャルアシスタントに分類されます。2021年、小売業におけるAiの市場では、顧客関係管理(CRM)分野が最大の収益シェアを示しました。顧客サービスと顧客維持を改善する強いニーズが、CRM業界を隆盛に導くと思われます。小売サプライヤーは、AIを搭載したバーチャルアシスタント、検索エンジン、チャットボット、およびその他の技術の助けを借りて、消費者の忠誠心と強固な顧客とのつながりを育むことができます。
地域別の展望
地域別では、小売におけるAI市場は、北米、欧州、アジア太平洋、LAMEAで分析されています。2021年、北米は小売業におけるAi市場の最大の収益シェアを占めています。関連する研究開発の取り組みとともに、AIプロジェクトにかなりの投資が行われているため、産業拡大の可能性があります。地域の小売業者も、顧客ケアの効果を高めるために、消費者の嗜好に関する利用可能なデータを抽出することに注力しています。市場リーダーは、成長するために有機的な手法と無機的な手法の両方を使用しています。
市場参入企業がとっている主な戦略は、パートナーシップです。カーディナルマトリックスで提示された分析に基づいて、Microsoft CorporationとGoogle LLCは、AI In Retail市場の先駆者です。Amazon Web Services, Inc.(Amazon.com, Inc.)、Intel Corporation、NVIDIA Corporationなどの企業は、小売におけるAI市場の主要な革新者の一部です。
List of Figures
The Global AI In Retail Market size is expected to reach $24.1 billion by 2028, rising at a market growth of 24.4% CAGR during the forecast period.
Automation, data, and technology, like machine learning algorithms, are used in retail AI to give customers highly customized shopping experiences. Consumer experiences within both physical and online retailers can benefit from AI. By employing AI-driven sales and demand forecast accuracy to optimize inventory, for example, merchants may maintain agility while enabling personalization.
Physical stores are still the leader in retail, but they must operate in very competitive markets. Similar to physical stores, digital stores compete in a market where they can easily access their rivals. Retailers can utilize AI to enhance the shopping experience for customers and acquire the competitive edge they need to remain relevant.
For instance, AI-powered virtual personal assistants and chatbots on a website provide customers personalized recommendations or dynamic pricing depending on their usage of the site, past purchases, and other pertinent information. Retail AI application cases exist in actual stores as well, utilizing data sources including in-store customer interactions via mobile devices and through sensors.
Using an algorithm that has been trained with sales data and other pertinent information, retail store owners can even utilize AI to optimize the layout of their stores. This aids in forecasting outcomes, such as a person's propensity to purchase two things simultaneously if they are exhibited near to one another. The retail industry is changing as a result of artificial intelligence (AI). Retailers can use AI to engage with their consumers and run more effectively, from utilizing computer vision to tailor promotions in real time to leveraging machine learning for managing inventory.
COVID-19 Impact Analysis
Due to the WFH policy brought on by this pandemic, the COVID-19 outbreak is anticipated to accelerate the market growth of next-generation tech fields, including artificial intelligence. In order to increase availability across the globe, tech companies are also increasing the range of products and services they offer. Therefore, the integration of AI significantly increased within the retail industry. Hence, the growth of the market was steadily hampered, however, the increased utilization of AI augmented the growth of AI in the retail industry.
Market Growth Factors
Higher Efficiency In Saving Cost And Optimizing The Experience
AI comprises the ability to drastically change retailing in coming years, impacting everything from cost structures to the shopping experience. E-commerce and AI go hand in hand, and the coronavirus pandemic's acceleration of e-commerce growth rates makes AI adoption even more imperative. AI advantages will transform the industry. Retailers must therefore start making plans right away. And not just technology should be included in those plans, but also business strategy.
Higher Supply Chain Capabilities
As a whole, one of the main advantages of artificial intelligence is that it can assist people with repetitive, time-consuming jobs. A significant number of workers believe that the increased adoption of AI in the workplace has improved productivity. And when AI is used in retail, the same thing may occur. Drivers in the logistics industry can use AI to discover the best delivery routes. Additionally, robots can assist with choosing and packing orders, freeing up staff members to work on other crucial activities.
Market Restraining Factors
High Costs As Well As Lack Of The Ability To Improve
It is an impressive achievement when a machine can imitate human intelligence. However, the initial cost of AI is very high in such operations. It can be very expensive and takes a lot of time and resources. AI is highly expensive because it requires the newest software and hardware to function in order to stay updated and meet criteria. Artificial intelligence is a technology that cannot be created by humans since it is pre-programmed with knowledge and experience.
Component Outlook
On the basis of Component, the AI in Retail Market is bifurcated into Solutions and Services. In 2021, the solution segment acquired the largest revenue share of The AI in retail market. The management issues facing a number of retail operations are encouraging the development of new automated technology. Retailers can manage warehouse management, supply chain operations, and logistics, and enhance the customer experience with the use of AI-powered solutions.
Technology Outlook
Based on the Technology, the AI in Retail Market is segregated into Machine Learning, Natural Language Processing, Chatbots, Image and Video Analytics, and Swarm Intelligence. In 2021, the machine learning segment procured the highest revenue share of the AI in retail market. The growth of the segment is rising due to the higher precision and flexibility of this technology. Machine learning is appropriate for providing customers with individualized experiences because it serves data quickly and deeply.
Sales Channel Outlook
By Sales Channel, the AI in Retail Market is segmented into Omnichannel, Brick and Mortar, and Pure-play Online Retailers. In 2021, the pure-play segment acquired a significant revenue share of the AI in retail market. The growing popularity of online and virtual shopping is expected to accelerate the development of pure-play internet merchants. AI, IoT, and social media would proliferate, which would lead to an expansion of the AI in retail market.
Application Outlook
On the basis of Application, the AI in Retail Market is classified into Customer Relationship Management (CRM), Supply Chain and Logistics, Inventory Management, Product Optimization, In-Store Navigation, Payment and Pricing Analytics, and Virtual Assistant. In 2021, the customer relationship management (CRM) segment witnessed the largest revenue share of the Ai in retail market. A strong need to improve customer service and retention would propel the CRM industry to prominence. Retail suppliers may foster consumer loyalty and solid customer connections with the help of AI-powered virtual assistance, search engines, chatbots, and other technologies.
Regional Outlook
Region-Wise, the AI in Retail Market is analyzed across North America, Europe, Asia-Pacific, and LAMEA. In 2021, North America accounted for the largest revenue share of the Ai in retail market. As considerable investments are made in AI projects along with related research and development initiatives, there is potential for industrial expansion. Regional retail suppliers are also focusing on extracting the available data on consumer preferences to increase the effectiveness of their customer care. The market leaders use both organic and inorganic techniques in order to grow.
The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the AI In Retail Market. Companies such as Amazon Web Services, Inc. (Amazon.com, Inc.), Intel Corporation and NVIDIA Corporation are some of the key innovators in AI In Retail Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Intel Corporation, Salesforce.com, Inc., NVIDIA Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, and ViSenze Pte Ltd.
Recent strategies deployed in AI In Retail Market
Partnerships, Collaborations & Agreements:
Sep-2022: Microsoft partnered with Infosys, an Indian multinational information technology company. Through this partnership, the companies aimed to enable businesses to swiftly redefine customer experiences, amplify systems with cloud and data, and renew processes.
Jun-2022: NVIDIA came into a partnership with Siemens, a German multinational conglomerate. Through this partnership, the companies aimed to integrate Siemens Xcelerator and NVIDIA Omniverse in order to offer an industrial metaverse along with physics-based digital models.
Jun-2022: Google entered into a partnership with the H&M Group, a global fashion retailer. Through this partnership, the companies aimed to design and develop an enterprise data backbone encompassing a core data platform, advanced AI and ML capabilities, and data products.
Jun-2022: Oracle joined hands with Komax, a retail group. Following this collaboration, Oracle would offer its Retail suite of services over its cloud infrastructure to Komax in order to help the business in introducing the latest clothing, accessories, and shoes from a range of popular brands to customers across Latin America.
Apr-2022: SAP entered into a partnership with Kyndryl, a leading IT infrastructure services provider. With this partnership, the companies aimed to focus on bringing novel solutions to address the most complex digital business transformation challenges of customers.
Mar-2022: NVIDIA teamed up with Kroger, an American retail company. With this collaboration, the companies aimed to improve the shopping experience for customers through AI-enabled services and applications.
Mar-2022: Microsoft came into an agreement with ASOS, a British fashion retailer. With this agreement, the companies aimed to jointly work on a new project intending to expedite their strategic growth plans of Microsoft. Moreover, this partnership would also allow companies to meet the rising demand for better product availability along with personalized and seamless digital experiences.
Feb-2022: AWS partnered with Kyndryl, an American multinational information technology infrastructure services provider. Following this partnership, the companies aimed to establish a Cloud Center of Excellence in order to develop joint solutions, including mission-critical infrastructure services, mainframe services, and network and edge computing services.
Jan-2022: Microsoft joined hands with Tata Consultancy Services, an Indian multinational information technology services and consulting company. This collaboration aimed to develop and commercialize the newly launched Microsoft Cloud. furthermore, the new solution aimed to aid customers in expediting their transformation and growth journey.
Jan-2022: Google came into a partnership with NCR Corporation, an American software, consulting, and technology company. Following this partnership, the companies aimed to develop an additional platform along with new capabilities, such as AI and ML. This partnership aimed to offer access to best-in-class tools along with seamless flexibility to retailers in order to provide enhanced in-store experiences for consumers.
Sep-2021: Microsoft expanded its partnership with Honor, a smartphone brand. Under this expanded partnership, Honor would leverage AI translation as well as AI speech built or on Microsoft Azure. In addition, these services would support Honor's YOYO Smart Assistant.
Jul-2021: Google expanded its partnership with Home Depot, an American multinational home improvement retail corporation. Through this expanded partnership, the companies aimed to advance digital transformation among retailers while also providing enhanced shopping experiences to customers.
Jun-2021: Salesforce came into a partnership with AWS, a subsidiary of Amazon. This partnership aimed to streamline it for customers to leverage the complete range of the capabilities of AWS and Salesforce in order to build and deploy robust new business applications quickly.
Apr-2021: NVIDIA collaborated with Cloudera, an American software company. Following this collaboration, the companies aimed to expedite AI and Data Analytics in the Cloud with a new software that allows businesses to accelerate data pipelines and also expand the performance boundaries of data and machine learning.
Dec-2020: Salesforce teamed up with Yes Bank, an Indian bank. Under this collaboration, Yes Bank would offer personalized and smart customer experiences by leveraging the Salesforce platform to engage customers with a unified experience.
Mar-2020: ViSenze collaborated with Pixibo, a fashion tech company. Under this acquisition, ViSenze would integrate its AI-powered visual commerce capabilities into Pixibo's fit and size recommendation platform in order to offer suitable goods on the basis of the preferences of the customer.
Product Launches and Product Expansions:
Aug-2022: ViSenze launched ViSenze's Session-Based Recommendations, a new personalized e-commerce product recommendations solution. The new solution aimed to offer a more customized experience to customers without the requirement for gathering personal data.
Jul-2022: Intel released a set of reference kits. The new solution aimed to allow data developers and data scientists to learn the faster and more convenient deployment of AI within manufacturing, retail, healthcare, and other environments.
Jun-2022: Salesforce rolled out the Sales Cloud Unlimited, a unified platform. With this launch, the company aimed to propel its growth and also turn sales reps into reliable advisors.
Jun-2021: NVIDIA rolled out the NVIDIA AI LaunchPad, a hybrid-cloud providers-delivered comprehensive program. The new solution aimed to offer immediate access to enterprises to NVIDIA-powered software and infrastructure with the aim to facilitate the entire AI lifecycle.
Apr-2021: IBM introduced new capabilities for IBM Watson. With this product expansion, the companies aimed to integrate Time Series capabilities within IBM Watson Studio in beta to address challenges in automating, forecasting, and analyzing time series data.
Apr-2021: Intel launched the new third Gen Intel Xeon Scalable processor, its most advanced artificial intelligence-based data center platform. The new solution aimed to offer a substantial spike in performance in contrast to the older generation.
Jan-2021: Google unveiled a new range of retail AI products. Through this launch, the company aimed to increase its focus on reaching new industry verticals. The new product range is developed for large as well as small businesses in order to allow retailers to offer highly personalized product recommendations to their customers.
Mergers & Acquisitions:
Jul-2022: SAP took over Askdata, a search-driven analytics startup. Following this acquisition, the company aimed to expand its ability to aid businesses in making well-informed decisions through AI-driven natural language searches.
Mar-2022: Microsoft took over Nuance Communications, an American multinational computer software technology corporation. Following this acquisition, the company aimed to integrate the best-in-class conversational AI and ambient intelligence of Nuance into its trusted and secure industry cloud offerings.
Feb-2022: IBM completed its acquisition of Neudesic, a leader in cloud services. Following this acquisition, the company aimed to expand its hybrid multi-cloud services offerings along with accelerating its AI and hybrid cloud strategy.
Jan-2022: Oracle acquired Federos, an IT Services and IT Consulting company. This acquisition aimed to empower service providers through AI-optimized service as well as network analytics, assurance, and automated orchestration.
Apr-2020: NVIDIA acquired Mellanox Technologies, an Israeli-American multinational supplier of computer networking products. With this acquisition, the company aimed to allow customers to experience higher performance, lower operating costs, and increased utilization of computing resources.
Market Segments covered in the Report:
By Technology
By Sales Channel
By Component
By Application
By Geography
Companies Profiled
Unique Offerings from KBV Research