人工智能市场基于(关键地区、市场参与者、规模和份额)- 到 2031 年的预测

  • Report Code : TIPRE00002954
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 214
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2020年人工智能营销市场价值为120.4446亿美元,预计到2028年将达到1075.3557亿美元;预计 2021 年至 2028 年复合年增长率将达到 31.6%。

越来越多地采用以客户为中心的营销策略,并越来越多地使用社交媒体平台进行广告是推动人工智能在营销市场增长的因素之一。然而,精通人工智能知识的人员稀缺阻碍了市场的增长。此外,基于云的应用程序和服务的采用激增为营销市场参与者中的人工智能创造了显着的机会。

营销人工智能的利润丰厚的区域市场< br>

市场洞察


越来越多地采用以客户为中心的营销策略

许多公司,无论属于哪个行业,都致力于与客户发展长期、互惠互利的关系,以便在全球市场快速加剧的竞争中生存。近年来,客户参与策略和行动已经从产品驱动转向更加以客户为中心。以客户为中心使公司能够更好地了解客户并随时预测并满足他们的需求。事实证明,成功转向以客户为中心的公司将享有主要的竞争优势以及销售和收入的增长。据《哈佛商业评论》报道,超过三分之一的财富 500 强公司已围绕客户进行改革,以偏好、细分和旅程为指导概念。尽管如此,近年来许多高端品牌都成功地采用了以客户为中心的理念。在美国,流行的以客户为中心的公司包括美国运通、Tumi 和 USAA。阿联酋航空、新西兰航空和新加坡航空等航空公司正在停止传统模式,转而采用新的广告形式。以客户为中心是一种业务战略,强调在购买前后提供卓越的客户体验,以创造重复订单的机会,同时提高客户忠诚度并推动业务发展。例如,Zappos 和亚马逊是以客户为中心的公司的两个杰出例子,它们花了几十年的时间发展了一种围绕客户及其偏好的文化。

基于产品的洞察

基于产品,营销市场中的人工智能分为解决方案和服务。 2020 年,解决方案领域占据了更大的市场份额,预计在 2021 年至 2028 年将占据更大的份额。然而,预计服务领域在预测期内将在市场上实现更高的复合年增长率。

营销市场中的人工智能,通过提供 - 2020年和2028年


基于应用的洞察

基于应用,营销市场的人工智能正在细分为搜索广告、社交媒体广告、动态定价、虚拟助理、内容管理、销售和营销自动化等。 2020 年,社交媒体广告领域占据了主导市场份额,预计在预测期内将继续保持同样的趋势。然而,预计虚拟辅助细分市场将在 2021 年至 2028 年的人工智能营销市场中实现最高的复合年增长率。

基于行业的最终用途见解

基于最终用途行业,营销市场中的人工智能分为BFSI、零售、消费品、媒体和娱乐等。对于各行业从事数字营销活动策划的专业人士来说,人工智能并不是一个新概念。人工智能增强的 PPC 广告、个性化网站体验、人工智能驱动的内容创建和内容创建聊天机器人是不同最终用户行业的各种小型和大型企业常用的功能。

战略洞察

营销市场参与者中的关键人工智能——例如IBM、亚马逊网络服务、Salesforce、Adobe和埃森哲——拥有一直在采取多种有机和无机策略来提高收入和市场地位。例如,2021 年 1 月,Appier 推出了 ARTIFICIAL INTELLIGENCEXPERT,这是一款基于人工智能的应用程序广告助手,可帮助营销人员通过campArtificial Intelligencegns轻松扩展销售活动的绩效。通过其应用程序,ARTIFICIAL INTELLIGENCEXPERT 可以实现 Facebook、Google 和 Apple Search Ads (ASA) 等主要广告平台的预算分配自动化,并通过基于人工智能的建议帮助做出更好的决策。

营销市场中的人工智能 –通过提供

  • 解决方案
  • 服务

营销市场中的人工智能 -按应用划分

  • 社交媒体广告
  • 搜索广告
  • 动态定价
  • 虚拟助手
  • 内容策展
  • 销售与营销营销自动化
  • 分析平台
  • 其他

营销市场中的人工智能 -按最终用户划分

  • BFSI
  • 零售
  • 消费品
  • 媒体和娱乐
  • 其他< /li>

营销市场中的人工智能——按地理位置

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • < li>欧洲
    • 法国
    • 德国
    • 意大利
    • 英国
    • 俄罗斯
    • 其他欧洲
  • 亚太地区 (APAC)
    • 中国
    • 印度
    • 日本
    • < li>澳大利亚
    • 韩国
    • 台湾
    • 亚太地区其他地区
  • 中东和非洲(MEA)
    • 南非
    • 沙特阿拉伯
    • 阿联酋
    • 中东和非洲其他地区
  • 南美洲和中美洲 (SCAM)
    • 巴西
    • 阿根廷
    • 南美洲和中美洲其他地区

公司简介

  • Affectiva
  • Appier Inc.
  • Bidalgo
  • Novantas (Amplero), Inc.
  • CognitiveScale
  • SAS Institute Inc.
  • SAP SE
  • Salesforce.com, inc.
  • Oracle Corporation
  • IBM Corporation
  • Amazon Web Services
  • Adobe
  • 埃森哲
  • 微软公司
  • 赛灵思公司
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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