Intelligenza artificiale nelle dimensioni del mercato e nel rapporto sull'analisi delle azioni | Previsioni 2031

  • Report Code : TIPRE00002954
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 214
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Il mercato dell'intelligenza artificiale nel marketing è stato valutato a 12.044,46 milioni di dollari nel 2020 e si prevede che raggiungerà 107.535,57 milioni di dollari entro il 2028; si prevede che crescerà a un CAGR del 31,6% nel corso del 2021-2028.

La crescente adozione di strategie di marketing incentrate sul cliente e il crescente utilizzo delle piattaforme di social media per la pubblicità sono tra i fattori che stimolano l’intelligenza artificiale nella crescita del mercato del marketing. Tuttavia, la scarsità di personale esperto in materia di intelligenza artificiale ostacola la crescita del mercato. Inoltre, l'impennata nell'adozione di applicazioni e servizi basati su cloud crea notevoli opportunità per l'intelligenza artificiale negli operatori del mercato del marketing.

Mercati regionali redditizi per l'intelligenza artificiale nel marketing< br>

Approfondimenti di mercato


Crescente adozione di strategie di marketing incentrate sul cliente

Molte aziende, indipendentemente dal settore a cui appartengono, si stanno concentrando sullo sviluppo di rapporti a lungo termine e reciprocamente vantaggiosi con i propri clienti, per sopravvivere nella concorrenza in rapida crescita nel mercato globale. Negli ultimi anni, le strategie e le azioni di coinvolgimento del cliente sono passate dall’essere guidate dal prodotto all’essere più incentrate sul cliente. La centralità del cliente consente alle aziende di comprendere meglio i propri clienti e prevederne, oltre a soddisfarne le esigenze, in qualsiasi momento. È dimostrato che le aziende che sono passate con successo al coinvolgimento incentrato sul cliente, godono di un importante vantaggio competitivo e di una crescita delle vendite e dei ricavi. Secondo l’Harvard Business Review, più di un terzo delle aziende Fortune 500 si sono riformate attorno al cliente, utilizzando preferenze, segmenti e percorsi come concetti guida. Tuttavia, molti dei marchi di alto rango negli ultimi anni hanno adottato con successo la centralità del cliente. Negli Stati Uniti, le aziende più popolari incentrate sul cliente includono American Express, Tumi e USAA. I modelli tradizionali vengono abbandonati da compagnie aeree come Emirates, Air New Zealand e Singapore Airlines per passare a nuovi formati pubblicitari. La centralità del cliente è una strategia aziendale che enfatizza la fornitura di un'eccellente esperienza al cliente sia prima che dopo l'acquisto per creare opportunità di ripetizione degli ordini, oltre ad aumentare la fidelizzazione dei clienti e alimentare lo sviluppo del business. Ad esempio, Zappos e Amazon sono due esempi eccezionali di aziende incentrate sul cliente che hanno trascorso decenni a sviluppare una cultura incentrata sui clienti e sulle loro preferenze.

Approfondimenti basati sull'offerta

In base all'offerta, l'intelligenza artificiale nel mercato del marketing è segmentata in soluzioni e servizi. Nel 2020, il segmento delle soluzioni deteneva la quota di mercato maggiore e si prevede che rappresenterà ulteriormente una quota maggiore nel periodo 2021-2028. Tuttavia, si prevede che il segmento dei servizi registrerà un CAGR più elevato nel mercato durante il periodo di previsione.

Intelligenza artificiale nel mercato del marketing, per offerta:

2020 e 2028


Approfondimenti basati sull'applicazione

In base all'applicazione, l'intelligenza artificiale nel mercato del marketing è segmentato in pubblicità associata alla ricerca, pubblicità sui social media, prezzi dinamici, assistente virtuale, content curation, automazione delle vendite e del marketing e altri. Nel 2020, il segmento della pubblicità sui social media si è assicurato una quota di mercato dominante e si prevede che continuerà la stessa tendenza durante il periodo di previsione. Tuttavia, si prevede che il segmento dell'assistenza virtuale registrerà il CAGR più elevato nel mercato dell'intelligenza artificiale nel marketing nel periodo dal 2021 al 2028.

Approfondimenti basati sul settore sull'uso finale

In base al settore di utilizzo finale, il mercato dell'intelligenza artificiale nel marketing è segmentato in BFSI, vendita al dettaglio, beni di consumo, media e intrattenimento e altri. L’intelligenza artificiale non è un concetto nuovo per i professionisti impegnati nella pianificazione di campagne di marketing digitale in vari settori. La pubblicità PPC potenziata dall'intelligenza artificiale, l'esperienza personalizzata del sito Web, la creazione di contenuti basata sull'intelligenza artificiale e i chatbot per la creazione di contenuti sono tra le funzionalità comunemente utilizzate da varie piccole e grandi imprese in diversi settori di utenti finali.

Approfondimenti strategici

I principali attori del mercato dell'intelligenza artificiale nel marketing, come IBM, Amazon Web Services, Salesforce, Adobe e Accenture, hanno hanno adottato diverse strategie organiche e inorganiche per migliorare le proprie entrate e la propria posizione di mercato. Ad esempio, nel gennaio 2021, Appier ha lanciato ARTIFICIAL INTELLIGENCEXPERT, un assistente pubblicitario basato su app basato sull'INTELLIGENZA ARTIFICIALE che aiuta gli esperti di marketing a ridimensionare facilmente le prestazioni delle campagne di vendita attraverso campArtificial Intelligencegns. Attraverso le sue app, ARTIFICIAL INTELLIGENCEXPERT consente l'automazione dell'allocazione del budget sulle principali piattaforme pubblicitarie come Facebook, Google e Apple Search Ads (ASA) e aiuta a prendere decisioni migliori con suggerimenti basati sull'INTELLIGENZA ARTIFICIALE.

Intelligenza artificiale nel mercato del marketing - offrendo

  • Soluzioni
  • Servizi

Intelligenza artificiale nel mercato del marketing - per applicazione

  • Pubblicità sui social media
  • Pubblicità associata alla ricerca
  • Prezzi dinamici
  • Assistente virtuale
  • Contenuti Cura
  • Vendite & Automazione del marketing
  • Piattaforma di analisi
  • Altro

Intelligenza artificiale nel mercato del marketing - per Utente finale

  • BFSI
  • Vendita al dettaglio
  • Beni di consumo
  • Media e intrattenimento
  • Altro< /li>

Intelligenza artificiale nel mercato del marketing - per area geografica

  • Nord America
    • Stati Uniti
    • Canada
    • Messico
  • < li>Europa
    • Francia
    • Germania
    • Italia
    • Regno Unito
    • Russia
    • Resto dell'Europa
  • Asia Pacifico (APAC)
    • Cina
    • India
    • Giappone
    • < li>Australia
    • Corea del Sud
    • Taiwan
    • Resto dell'Asia Pacifico
  • Medio Oriente e Africa (MEA)
    • Sudafrica
    • Arabia Saudita
    • Emirati Arabi Uniti
    • Resto del Medio Oriente e dell'Africa
  • America centrale e meridionale (SCAM)
    • Brasile
    • Argentina
    • Resto dell'America centrale e meridionale

Profili aziendali

  • Affectiva
  • Appier Inc.
  • Bidalgo
  • Novantas (Amplero), Inc.
  • CognitiveScale
  • SAS Institute Inc.
  • SAP SE
  • Salesforce.com, inc.
  • Oracle Corporation
  • IBM Corporation
  • Amazon Web Services
  • Adobe
  • Accenture
  • Microsoft Corporation
  • Xilinx, Inc.
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


What is the regional market scenario of artificial intelligence in marketing?

The artificial intelligence in marketing market is segmented into five major regions: North America, Europe, APAC, MEA, and SAM. Among these regions, North America is expected to dominate the global artificial intelligence in marketing market during the forecast period owing to the well-established economies in the region that include US and Canada. These countries are known for their significant dedicated expenditure toward research and development as well as artificial intelligence-based platforms incorporating technologies that include machine learning, natural language processing (NLP), virtual assistance, and others. Furthermore, the heavy adoption of social media platform in almost all the end-use industries. The US is a developed country in terms of modern technology, the standard of living, infrastructure, and many others.

What is AI in marketing?

Artificial intelligence in marketing helps the marketers to leverage customer's data to draw important insights like buying behavior of the customer. Artificial Intelligence in marketing makes use of various concepts like machine learning to know the pattern of the consumer which helps the companies to plan their next move accordingly. Artificial Intelligence in marketing is used in various applications such as dynamic pricing, social media advertising, and sales & marketing automation among others.

What are the driving factors for the artificial intelligence in marketing market across the globe?

Rising adoption of customer-centric marketing strategies and increasing use of social media for advertising are among the factors expected to drive the artificial intelligence in marketing market worldwide. However, a limited number of AI experts may restrain the future growth of the market. Despite these limitations, the growth in adoption of cloud-based applications and services creates a huge opportunity for vendors operating in artificial intelligence in marketing market.

The List of Companies - Artificial Intelligence in Marketing Market

  1. Affectiva
  2. Appier Inc.
  3. Bidalgo
  4. Novantas (Amplero), Inc.
  5. CognitiveScale
  6. SAS Institute Inc.
  7. SAP SE
  8. Salesforce.com, inc.
  9. Oracle Corporation
  10. IBM Corporation
  11. Amazon Web Services
  12. Adobe
  13. Accenture
  14. Microsoft Corporation
  15. Xilinx, Inc.

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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