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市場調査レポート
商品コード
1309670
マーケティング向け人工知能(AI)の世界市場規模、シェア、産業動向分析レポート:技術別、エンドユーザー別、コンポーネント別、用途別、地域別の展望と予測、2023年~2030年Global Artificial Intelligence (AI) In Marketing Market Size, Share & Industry Trends Analysis Report By Technology, By End User, By Component (Software and Services), By Application, By Regional Outlook and Forecast, 2023 - 2030 |
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マーケティング向け人工知能(AI)の世界市場規模、シェア、産業動向分析レポート:技術別、エンドユーザー別、コンポーネント別、用途別、地域別の展望と予測、2023年~2030年 |
出版日: 2023年06月30日
発行: KBV Research
ページ情報: 英文 351 Pages
納期: 即納可能
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マーケティング向け人工知能(AI)の市場規模は2030年までに788億米ドルに達すると予測され、予測期間中のCAGRは26.9%の市場成長率で上昇する見込みです。
KBV Cardinal Matrixに示された分析によると、Microsoft CorporationとGoogle LLCが市場の先駆者です。2023年1月、Microsoft Corporationは米国を拠点とするAI研究機関OpenAIとAIスーパーコンピューティングに関する提携を拡大しました。このパートナーシップにより、両社の共同顧客に高度なAIインフラが提供されます。Intel Corporation、Oracle Corporation、NVIDIA Corporationなどの企業は、この市場における主要なイノベーターです。
市場成長要因
顧客主導のマーケティングと広告に対するニーズの高まり
企業の種類を問わず、顧客は組織にとって最も貴重な資産です。AIを活用したマーケティングの競合市場で成功を収めるには、企業は顧客との長期的な関係構築を第一に重視する必要があります。企業は、製品主導のマーケティング手法から顧客中心のマーケティング手法へと移行してきました。組織は顧客をよりよく理解し、調整を実施した後に以前に購入した製品に基づいて顧客の行動を予測できるようになっています。このように、顧客中心のマーケティング戦術の採用が増加し、これらの手法が企業にもたらすメリットが、予測期間中の市場成長を増大させると思われます。
マーケティングの自動化
AIは、特定のオーディエンスをターゲットにする能力を維持しながら、デジタルマーケティングの自動化を支援することができます。人工知能の応用によって達成される自動化とパーソナライゼーションの利用は、マーケティングにおける高度なパーソナライゼーションをもたらす完璧な組み合わせです。企業はまた、急速な拡大を経験する分野で事業を展開する企業にとって不可欠な、顧客追求における競争上の優位性を得ることができます。ペイパークリック(PPC)広告、検索エンジンマーケティング(SEM)、検索エンジン最適化(SEO)、ソーシャルメディアマーケティング(SMM)、コンバージョン率、キーワード検索の自動化は、AIシステムを活用する企業にとって今や可能なことです。その結果、AIオートメーションをマーケティングに活用する動きが拡大し、市場の急拡大が予想されます。
市場抑制要因
AIを活用したマーケティングで直面する困難
AIの最も簡単なアプリケーションであっても、実装が困難な場合があります。技術的な洗練度は低いもの、単体のタスク自動化AIを特定のワークフローに設定するのは依然として難しく、企業は適切なAIスキルを習得する必要があります。ワークフローに人工知能を組み込む場合、AIが問題を引き起こすような使われ方をするのではなく、人の能力を向上させるように、人と機械の仕事を統合する必要があります。例えば、多くの企業がルールベースのチャットボットを使って顧客対応プロセスを自動化しています。市場の拡大は、AIをマーケティングに利用することに伴う欠点によって妨げられる可能性が高いです。
コンポーネントの展望
コンポーネントに基づき、市場はソフトウェアとサービスに区分されます。ソフトウェアセグメントは2022年の収益シェアで最大となり、市場を独占しました。これは、データストレージ容量の慎重な進歩、強力なコンピューティング、並列処理によるハイエンドサービスの供給能力によるものです。さらに、このセグメントは、データを抽出し、リアルタイムの洞察を提供し、意思決定をサポートする能力により、市場で最大のシェアを占めるのに適した位置にあります。プリミティブ、推論、線形代数、ビデオアナリティクス、スパース行列、多数のハードウェア接続機能など、AIアプリケーションを開発・展開するためのライブラリは、人工知能ソフトウェアパッケージに含まれています。
技術の展望
技術ベースでは、市場は機械学習、自然言語処理(NLP)、コンピュータービジョン、その他に分けられます。2022年の市場では、機械学習セグメントが最も高い収益シェアを占めています。このセグメントの成長は、機械学習とディープラーニングで行われてきたAIへの大きな投資によるものです。これらはAIプラットフォームとコグニティブアプリケーションを包含しており、助言的でインテリジェントなコグニティブ対応ソリューションの作成を容易にしています。これらのコグニティブアプリケーションには、タグ付け、クラスタリング、分類、仮説生成、アラート、フィルタリング、ナビゲーション、視覚化などが含まれます。
エンドユーザーの展望
エンドユーザー別では、BFSI、消費財・小売、メディア・エンターテインメント、IT・通信、その他に分類されます。消費財・小売セグメントは、2022年の市場で顕著な収益シェアを獲得しました。これは、より良いショッピング体験を提供することに重点が置かれるようになったためであり、小売部門は大幅に増加すると予測されています。様々なソーシャルメディアソースからのデジタルテキスト、音声、画像データ量の増加が、データマイニングとアナリティクスの需要を促進しています。さらに、小売業におけるAIは、行動分析と消費者インテリジェンスを使用して、さまざまな顧客ケアのタッチポイントを改善し、さまざまな市場人口統計に関する洞察に満ちた知識を得ることで、このセグメントの成長を促進しています。
用途の展望
用途別では、コンテンツキュレーション、ソーシャルメディア広告、バーチャルアシスタント、検索エンジンマーケティング、販売・マーケティングオートメーション、アナリティクスプラットフォーム、その他に市場は分類されます。ソーシャルメディア広告セグメントは、2022年の市場で顕著な収益シェアを記録しました。ソーシャルメディアマーケティングでは、AIを使って文章や動画コンテンツの制作、投稿のスケジュール管理、データ分析などが行われます。これまでと同様、AIは今後ソーシャルメディアマーケティングでより大きな役割を果たすと思われます。ソーシャルメディアマーケティング担当者は、AIによるコンテンツ生成、スケジューリング、予測モデリングなどの力を取り入れると思われます。
地域の展望
地域別に見ると、市場は北米、欧州、アジア太平洋、ラテンアメリカ・中東・アフリカで分析されます。北米地域は、2022年のar市場で最も高い収益シェアを記録しました。これは、多くの企業で人工知能(AI)の採用を促進する政府の政策が後押ししているためです。同地域の有名IT企業数社は、AIがもたらす有望な可能性をマーケティングに活用しています。さらに、この地域では、特に世界の他の地域と比較して、中小企業も大企業もそれなりの割合でAIを活用しています。同地域の様々な産業におけるAIの高い利用率が、同地域市場の拡大を後押ししています。
List of Figures
The Global Artificial Intelligence (AI) In Marketing Market size is expected to reach $78.8 billion by 2030, rising at a market growth of 26.9% CAGR during the forecast period.
Sales & Marketing Automation sector is growing as AI can assist businesses in automating their digital marketing while maintaining their ability to target specific audiences. Hence, Sales & Marketing Automation segment registered $1,856.2 million revenue in the market in 2022. The use of automation and personalization achieved via the application of artificial intelligence are perfect combinations that lead to a high level of personalization in marketing. Businesses can also gain a competitive advantage in pursuing customers, essential for any business operating in a sector experiencing rapid expansion. Automation of pay-per-click (PPC) ads, search engine marketing (SEM), search engine optimization (SEO), social media marketing (SMM), conversion rates, and keyword research are now possible for businesses that utilize AI systems. Automation of marketing procedures that AI enables has the potential to save time. This frees up time and mental space for marketers to concentrate on other areas of their jobs, such as developing new ideas and strategies.
The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In June, 2023, Salesforce partnered with Google Cloud to develop solutions for their business customers regarding customer experiences. Together, the companies would be able to serve their joint customers in a better way by providing them with a comprehensive suite of solutions for personalized customer experience. Additionally, In May, 2023, Intel Corporation entered into a partnership with Boston Consulting Group to provide their clients with generative AI solutions. The partnership aids Intel in providing its customers with services to build generative AI applications.
Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the Market. In January,2023, Microsoft Corporation extended its partnership with OpenAI, an AI research laboratory based in the United States, regarding AI supercomputing. The partnership provides the joint customers of the two companies with advanced AI infrastructures. Companies such as Intel Corporation, Oracle Corporation, NVIDIA Corporation are some of the key innovators in the Market.
Market Growth Factors
The increasing need for customer-driven marketing and advertisement
Customers are an organization's most valuable asset, regardless of the type of company. To flourish in the competitive marketplace for AI in marketing, businesses should primarily emphasize developing long-term relationships with their customers. Companies have become more customer-centric as they have transitioned away from product-driven marketing methods and toward customer-centric marketing techniques. The organization could understand its clients better and forecast their behavior based on the products they had previously purchased after implementing the adjustments. Thus, the increasing adoption of customer-centric marketing tactics and the benefits these methods give firms would increase market growth over the forecasted period.
The automation of marketing
AI can assist businesses in automating their digital marketing while maintaining their ability to target specific audiences. The use of automation and personalization achieved via the application of artificial intelligence are perfect combinations that lead to a high level of personalization in marketing. Businesses can also gain a competitive advantage in pursuing customers, essential for any business operating in a sector experiencing rapid expansion. Automation of pay-per-click (PPC) ads, search engine marketing (SEM), search engine optimization (SEO), social media marketing (SMM), conversion rates, and keyword research are now possible for businesses that utilize AI systems. As a result, the expanding trend of using AI automation for marketing is anticipated to cause a spike in the expansion of the market.
Market Restraining Factors
Difficulties faced during the usage of AI-based marketing
Even the most straightforward applications of AI can be challenging to implement. Although it has a lower level of technological sophistication, stand-alone task automation AI can still be difficult to set for particular workflows, and it requires businesses to acquire appropriate AI skills. When incorporating any artificial intelligence into a workflow, it is necessary to integrate human and machine jobs so that AI improves people's abilities rather than being used in a way that causes problems. For instance, many companies automate their customer care processes using rule-based chatbots. The market expansion is likely to be hampered by the drawbacks associated with using AI in marketing.
Component Outlook
Based on component, the market is segmented into software and services. The software segment dominated the market with maximum revenue share in 2022. This is due to careful advancements in data storage capacity, powerful computing, and the ability to supply high-end services through parallel processing. Furthermore, the segment is well-positioned to take the largest share of the market owing to its capacity to extract data, offer real-time insight, and support decision-making. Libraries for developing and deploying AI applications, such as those for primitives, inference, linear algebra, video analytics, sparse matrices, and numerous hardware connection capabilities, are included in artificial intelligence software packages.
Technology Outlook
On the basis of technology, the market is divided into machine learning, natural language processing (NLP) and computer vision and others. The machine learning segment held the highest revenue share in the market in 2022. The segment's growth is due to the significant investments in AI that have been made in machine learning and deep learning. They encompass AI platforms and cognitive applications, making it easier to create advisory, intelligent, and cognitively enabled solutions. These cognitive applications include tagging, clustering, categorization, hypothesis-generating, alerting, filtering, navigation, and visualization.
End-Use Outlook
By end-use, the market is classified into, BFSI, consumer goods & retail, media & entertainment, IT & telecommunication, and others. The consumer goods & retail segment procured a remarkable revenue share in the market in 2022. This is due to the increased emphasis on delivering a better shopping experience; it is projected that the retail sector will experience a significant increase. An increase in the volume of digital text, sound, and image data from various social media sources is driving the demand for data mining and analytics. Additionally, AI in retail uses behavioral analytics and consumer intelligence to improve a variety of customer care touchpoints and gain insightful knowledge about various market demographics, driving the segment's growth.
Application Outlook
Under application, the market is bifurcated into content curation, social media advertising, virtual assistant, search engine marketing, sales & marketing automation, analytics platform, and others. The social media advertising segment recorded a remarkable revenue share in the market in 2022. Social media marketing uses AI to produce written & video content, schedule posts, analyze data, and more. As in the past, AI will play a bigger part in social media marketing in the future. Social media marketers will embrace the power of AI content generation, scheduling, predictive modeling, and other goodies.
Regional Outlook
Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America region registered the highest revenue share in the ar market in 2022. This is due to the encouraging government policies that promote the adoption of artificial intelligence (AI) across numerous businesses. The region's several well-known IT firms are utilizing the promising possibilities presented by AI in marketing. In addition, both small and large companies are using AI at a respectable rate in the region, especially compared to other parts of the world. The high usage of AI by various industries in the region is aiding the expansion of the regional market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Amazon.com, Inc., Baidu, Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, Salesforce, Inc., NVIDIA Corporation, Google LLC (Alphabet Inc.), Intel Corporation and Twitter, Inc.
Recent Strategies deployed in Artificial Intelligence (AI) In Marketing Market
Mergers & Acquisition:
Oct-2022: Google completed the acquisition of Alter, an artificial intelligence (AI) avatar startup engaged in helping brands and creators express themselves. Through this acquisition, Google would improve both the quality and quantity of the content provided to consumers.
Sep-2022: IBM Corporation announced the acquisition of Dialexa, an engineering consulting firm based in the United States. Through this acquisition, IBM aims to integrate Dialexa's product engineering specialty with its hybrid cloud portfolio so that IBM's clients can use the portfolio to drive their business growth.
Jul-2022: Salesforce announced the acquisition of Troops.ai, a revenue communications solution provider. The acquisition allows Salesforce to provide its customers with the necessary tools for better engagement.
Mar-2022: Microsoft Corporation completed the acquisition of Nuance, a conversational AI solutions provider. The acquisition brings Nuance's AI-powered conversational capabilities to Microsoft's industrial cloud offering and would allow Microsoft to provide a better offering to its customers.
Partnerships, Collaborations & Agreements:
Jun-2023: Salesforce partnered with Google Cloud, a cloud platform offered by Google, to develop solutions for their business customers regarding customer experiences. Together, the companies would be able to serve their joint customers in a better way by providing them with a comprehensive suite of solutions for personalized customer experience.
May-2023: Google LLC extended its partnership with Wipro Limited, an Indian IT company, to integrate Google's generative AI portfolio with Wipro's AI-powered industry solutions. The partnership allows Google to serve its customers in a better way by providing them with a comprehensive suite of generative AI portfolios.
May-2023: Google Cloud, a cloud platform offered by Google LLC, partnered with Cognizant, an American IT company, to provide AI-powered solutions for different businesses. The partnership would help the joint clients of the two companies to drive business value through the use of generative AI services offered by the two companies.
May-2023: Intel Corporation entered into a partnership with Boston Consulting Group, a management consulting firm based in the United States, to provide their clients with generative AI solutions. The partnership aids Intel in providing its customers with services to build generative AI applications.
May-2023: NVIDIA Corporation signed a partnership with WPP, a communication solutions provider based in the United Kingdom, to develop content engines featuring the NVIDIA Omniverse. The partnership provides NVIDIA's customers with generative AI tools that can be used to create better advertising content.
Apr-2023: Oracle Corporation collaborated with GitLab Inc., a software company based in the United States, to provide enhanced AI and ML capabilities with Oracle Cloud Infrastructure. The collaboration provides the joint customers of the two companies with providing them with a comprehensive suite of services that they can use to increase their operational efficiencies.
Mar-2023: NVIDIA Corporation partnered with Adobe, a US-based software company to provide workflow solutions using AI. The partnership combines the capabilities of Adobe Cloud tools with NVIDIA Picasso and therefore provides comprehensive generative AI capabilities to the clients of the two companies.
Jan-2023: Microsoft Corporation extended its partnership with OpenAI, an AI research laboratory based in the United States, regarding AI supercomputing. The partnership provides the joint customers of the two companies with advanced AI infrastructures.
Oct-2022: NVIDIA Corporation announced an extended partnership with Oracle, a computer software company based in the United States, to provide AI-powered business solutions. The partnership expands NVIDIA's reach within more companies by featuring NVIDIA's GPU solutions on Oracle Cloud Infrastructure.
Sep-2022: Amazon Web Services, Inc., a subsidiary of Amazon, came into partnership with Salesforce, an American software company, to integrate Amazon Sagemaker with Salesforce Platform. The combination of the two companies' portfolios will enable customers to use salesforce business applications with AWS AI, and Audio/Video services, thereby helping the two companies to strengthen their position in the market.
Product Launches and Product Expansions:
Jun-2023: Salesforce, Inc. unveiled Marketing GPT. Marketing GPT is used by marketers to facilitate a better customer experience with generative AI. Benefits of the Marketing GPT include better work management through the use of segment creation, reduction in content workload through the use of email content creation option, and better marketing ROI through the use of segment intelligence for the cloud.
May-2023: Google LLC announced a new customer acquisition goal feature for Google Ads. The new features are used for creating a pipeline of new customers using first-party data and smart bidding. The feature carries two modes namely, Value new customers and new customers only.
Apr-2023: Oracle Corporation updated its Oracle Fusion Applications Suite with the launch of new features. The new features include AI-powered lead time estimation, Rebate management capability, and an improved quote-to-cash process.
Mar-2023: Google LLC introduced Generative AI support in Vertex AI used by developers to solve ML issues by use of foundation models including PaLM. The service offers the following features, case selection, selection capability to choose from the foundation models offered by Google and others, and engagement customizability.
Mar-2023: Microsoft released Dynamics 365 Copilot. The Dynamics 365 Copilot is an AI-powered solution that facilitates professionals in content creation. The solution is used for three applications namely, Marketing, supply chain, and sales. The solution helps personnel better manage their time by saving time on repetitive tasks.
Feb-2023: Microsoft Corporation launched a new version of its Bing search engine powered by GPT 3.5. The updated version of Bing includes the 'chat' feature used for summarizing a webpage and the 'compose' feature used for assisting in text generation.
Nov-2022: Amazon Web Services, Inc., a subsidiary of Amazon, added new features for its AI services. The new features include Amazon Textract Analyze lending used for automating loan document processing, Call analytics for Amazon Transcribe used for analyzing in-progressing and incoming calls and a new search feature for Amazon Kendra which facilitates customers to find answers to their queries in a faster way in an HTML document.
Sep-2021: Oracle Corporation launched Oracle Fusion Marketing. Oracle Fusion Marketing is a marketing solution that is used to automate the process of lead generation and qualification based on customer responses in different campaigns. The Oracle Fusion Marketing is AI-powered and guides the marketer through the entire campaign journey.
Market Segments covered in the Report:
By Technology
By End User
By Component
By Application
By Geography
Companies Profiled
Unique Offerings from KBV Research