封面
市场调查报告书
商品编码
1823723

北美支付和电子商务领域的人工智慧:规模化、投资回报率和监管准备(2025 年)

AI in North America's Payments and E-Commerce: Scaling, ROI, and Regulatory Readiness 2025

出版日期: | 出版商: yStats.com | 英文 114 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

根据 yStats.com 的报告,北美支付和电子商务领域的人工智慧应用正在迅速扩张,并带来高投资回报率,但监管准备仍然是一个挑战。

人工智慧应用正在成长,但准备工作仍然缓慢

到 2025 年,近一半的北美公司将使用生成式人工智慧执行文字生成等任务。然而,许多公司仍处于试点阶段,尚未全面部署。虽然美国公司在应用方面取得了快速进展,但结构性治理缺陷阻碍了进展。同时,在加拿大,大多数专案仍处于概念验证 (PoC) 阶段,预计今年只有不到 40% 的专案能够全面投入营运。

支付与电子商务引领潮流

支付产业已成为应用功能性人工智慧的先驱。美国金融服务公司正在部署用于防诈骗、个人化和风险管理的工具。在全球范围内,人工智慧驱动着整个20兆美元的数位支付市场,财务长在推动应用方面发挥核心作用。相较之下,加拿大公司采取了更为谨慎的态度,员工层面的采用率正在稳步提升。

规模化加速回报,但挑战仍存在

在美国,生产用例在短短一年内翻了一番,提高了生产力和客户参与度,同时提升了投资回报率。然而,数据品质、隐私风险和人才短缺仍然是进一步应用的重大障碍。治理也滞后,只有少数公司正确应用了负责任的人工智慧框架。信任仍然是一个问题,许多消费者仍然更喜欢人工服务而不是人工智慧。

本报告探讨了北美支付和电子商务领域的人工智慧趋势,总结了当前人工智慧的采用情况和区域模式、生成式人工智慧采用的障碍、功能性用例以及竞争格局。

目录

第1章 重要点

第2章 管理摘要

第3章 AI引进的形势与地区模式

  • 北美:引进基准
    • 跨区
    • 北美:按职能划分的生成式 AI 应用情况
    • 北美:组织在生成式 AI 应用的成熟度水平
    • 北美:组织 AI 策略发展进展
    • 北美:组织对生成式 AI 应用的准备程度
    • 美国
    • 美国:组织中的 AI 应用情况
    • 美国:依工作职能划分的代理 AI 应用情况
    • 美国:员工在工作场所使用 AI 的频率
    • 美国:成年人使用 AI 的情况(过去 6 个月 vs. 每日使用情况)
    • 美国:成人日常生活中 AI 任务使用情况
    • 美国:每天执行特定活动的成年人 AI 任务使用情况
    • 美国:中型企业与私募股权公司的 AI 投资计划
    • 加拿大
    • 加拿大:组织中的生成式 AI 实验与应用阶段
    • 加拿大:生成式 AI 在工作场所的应用与频率
    • 加拿大:各州生成式 AI 的应用情况
  • 卖家细分与障碍
    • 跨区
    • 北美:生成式 AI 应用的主要障碍
    • 北美:AI 预算的计画变更
    • 美国
    • 美国:生成式 AI 应用的主要障碍
    • 美国:负责任的 AI 投资的主要障碍
    • 美国:代理式 AI 的主要障碍采用率
    • 美国:高阶主管对生成式人工智慧工具开发与发布速度的看法
    • 美国:高阶主管认为生成式人工智慧工具开发进展缓慢的主要原因
    • 美国:生成式人工智慧工具的基准测试标准的可用性和类型
    • 美国:高阶主管对其组织生成式人工智慧成熟度的评估
    • 美国:生成式人工智慧成果超越或达到预期的组织的满意度
    • 美国:生成式人工智慧工具的推荐与问题解决成功率
    • 美国:生成式人工智慧未达预期的主要原因(按开发阶段和营运阶段划分)
    • 美国:按世代划分的成年人日常使用和参与人工智慧的情况
    • 美国:按就业状况划分的成年人日常使用和参与人工智慧的情况
    • 美国:按收入群体划分的成年人日常使用和参与人工智慧的情况
    • 美国:依工作职能划分的频繁使用人工智慧的员工
    • 美国:以员工年龄划分的对生成式人工智慧的深入理解组
    • 美国:各年龄层员工对生成式人工智慧在职场的舒适度
    • 美国:各年龄层员工对生成式人工智慧工具的回馈
    • 美国:各年龄层员工参与生成式人工智慧工具设计的意愿
    • 美国:中型企业和私募股权公司对人工智慧影响的预期
    • 加拿大
    • 加拿大:公共与私人生成式人工智慧工具在职场的使用情况
    • 加拿大:生成式人工智慧实施方法与实施团队计划

第四章:各功能的用例和经济影响

  • 电商零售商经营
    • 美国:电商中的 B2C 人工智慧、扩增实境、区块链、行动商务和社交商务
    • 美国:政府对生成式人工智慧的使用情况(按用例)
    • 美国:生成式人工智慧的预期影响政府应用
    • 美国:零售决策者对生成式人工智慧技术的准备情况
    • 加拿大:生成式人工智慧在工作场所的主要用例
  • 支付和金融科技用例
    • 北美:金融服务领域最引人注目的人工智慧用例
    • 美国:按职能、领导力和治理重点划分的金融领域人工智慧应用
    • 美国:支付领域人工智慧驱动的诈欺预防、个人化与治理
    • 美国:支付领域人工智慧驱动的购物功能、虚拟卡整合与采用障碍
    • 美国:支付、营运应用与安全支付领域基于代理的人工智慧交易执行
    • 美国:关键人工智慧用例,包括支付自动化和诈欺检测
    • 美国:推动人工智慧在财务流程中应用的领导角色
    • 美国:认为人工智慧减少了对低技能员工需求的财务长比例员工
    • 美国:表示人工智慧增加了具备高阶分析技能员工需求的财务长比例
    • 美国:按任务复杂性划分的人工智慧增加或减少高技能和低技能员工需求的领域

第五章 风险管理、信任与安全

  • 诈欺和威胁趋势
    • 美国:受人工智慧和经济压力影响的已宣布裁员数量
    • 美国:受人工智慧和自动化影响的科技业裁员数量
  • 信任与准备
    • 美国:员工对生成型人工智慧风险的担忧
    • 美国:负责任的人工智慧投资的主要优势
    • 美国:在人工智慧和生成型领域全面采用负责任的人工智慧功能人工智慧
    • 美国:在日常工作中 30% 或以上使用生成式人工智慧的员工和高阶主管比例
    • 美国:影响员工日常使用生成式人工智慧的因素
    • 美国:生成式人工智慧对组织支援建构人工智慧能力的看法
    • 美国:认为取得人工智慧技术 "非常重要" 或 "极为重要" 的财务长比例
    • 美国:认为人工智慧自动化支援会计流程 "一点​​也不重要" 或 "稍微重要" 的财务长比例
    • 加拿大:员工报告的关于在工作场所使用生成式人工智慧的政策
    • 加拿大:生成式人工智慧训练的准备情况
  • 监理与合规
    • 美国:负责任的人工智慧投资的关键驱动因素
    • 美国:不使用人工智慧的主要原因
    • 加拿大:不使用人工智慧的主要原因在工作场所使用生成式人工智慧

第六章 竞争格局与策略性人工智慧动向

  • 市场规模与活跃度
    • 美国:按公司收入细分划分的平均人工智慧预算
    • 美国:生产中人工智慧用例的平均数量
    • 美国:依业务职能划分的人工智慧预算分配与正向投资报酬率
    • 美国:依业务领域和研究阶段划分的人工智慧正向投资报酬率
    • 美国:高阶主管层中生成式人工智慧路线图的存在与成熟度
    • 美国:高阶主管对可产生收入的生成式人工智慧用例的识别
    • 美国:高阶主管对生成式人工智慧收入变化的看法
    • 美国:管理阶层对生成式人工智慧带来的成本变化的看法
    • 美国:高阶主管对未来三年生成式人工智慧营收成长的预期
    • 美国:百分比各业务功能对生成式人工智慧潜在经济价值的影响
    • 美国:各供应商领先的人工智慧助手
    • 加拿大:中小企业的人工智慧投资计画和优先事项
    • 加拿大:人工智慧采用率、竞争定位与产业优势
  • 各大公司的策略举措
    • 美国:人工智慧资本支出与领先科技公司
    • 美国:人工智慧基础设施扩展与投资者信心

第七章 人工智慧治理、监管与创新驱动力

  • 各地区公私合作人工智慧计划
    • 北美:追踪人工智慧监管变化的关键内部策略
    • 北美:追踪人工智慧监管变化的关键外部策略
  • 美国人工智慧创新框架
    • 美国:人工智慧基础设施发展、外交参与和基于价值的出口策略
简介目录
Product Code: 1702

yStats.com reports that AI adoption in North America's payments and E-Commerce in 2025 is scaling rapidly, delivering strong ROI gains, while regulatory readiness gaps continue to persist.

AI adoption grows, but readiness gaps remain

By 2025, nearly half of North American firms were using GenAI for tasks like text generation, yet many remain stuck in trial phases rather than scaling to full production. U.S. organizations advanced faster, but structural gaps in governance slowed progress. In Canada, most projects were still at proof-of-concept, with fewer than 40% expected to move into live use this year.

Payments and E-Commerce take the lead

The payments sector emerged as a frontrunner in functional AI, with U.S. financial firms deploying tools for fraud prevention, personalization, and risk control. Globally, AI supported operations across a digital payments market of about USD 20 trillion. CFOs became central drivers of adoption, while Canada's firms continued with a more measured rollout, with employee-level usage growing steadily.

Scaling accelerates returns, but hurdles remain

In the U.S., production use cases doubled in just a year, boosting productivity and customer engagement while improving ROI. Yet data quality, privacy risks, and talent shortages remain major barriers to broader adoption. Governance also lagged, as only a minority of firms applied robust responsible-AI frameworks. Trust challenges persist, with many consumers still preferring human service over AI.

Table of Contents

1. Key Takeaways

2. Management Summary

3. AI Adoption Landscape & Regional Patterns

  • 3.1. North America: Adoption Benchmarks
    • 3.1.1. Regional
    • North America: Functional Deployment of Generative AI, in % of Respondents, Feb - Mar 2025
    • North America: Organizational Maturity Levels of Generative AI Adoption, in % of Resp., 2024 & 2025
    • North America: Status of Organizational AI Strategy Development, in % of Respondents, Feb. - Mar 2025
    • North America: Organizational Readiness to Implement Generative AI, in % of Resp., Feb - Mar 2025
    • 3.1.2. U.S.
    • U.S.: Organizational AI Adoption, in % of Respondents, 2024 - 2025
    • U.S.: Agentic AI Deployment by Business Function, in % of Respondents, 2024 & 2025
    • U.S.: Employee Use of AI at Work by Frequency, in % of Respondents, 2023 - 2025
    • U.S.: Using AI in the Past Six Months vs. Daily Among Adults, in % of Respondents, April 2025
    • U.S.: AI Usage by Task Type in Daily Life Among Adults, in % of Respondents, April 2025
    • U.S.: AI Usage by Task Type Among Adults, in % of Resp. Routinely Performing Each Activity, April 2025
    • U.S.: AI Investment Plans Among Midsize Companies and Private Equity Firms, in % of Respondents, 2023 & 2024
    • 3.1.3. Canada
    • Canada: Organizational GenAI Experiments and Stage of Adoption, in % of Respondents, Jan - Feb 2025
    • Canada: Use of Generative AI at Work and Frequency Among Users, in % of Respondents, August 2024
    • Canada: Generative AI Adoption by Province, in % of Respondents, 2023 & 2024
  • 3.2. Seller Segmentation & Barriers
    • 3.2.1. Regional
    • North America: Key Barriers to Generative AI Adoption, in % of Respondents, Feb - Mar 2025
    • North America: Planned Changes in AI Budgets, in % of Respondents, Feb - Mar 2025
    • 3.2.2. U.S.
    • U.S.: Leading Barriers to Generative AI Adoption, in % of Respondents, Jul - Dec 2024
    • U.S.: Main Barriers to Responsible AI Investment, in % of Respondents, April 2024
    • U.S.: Leading Barriers to Agentic AI Adoption, in % of Respondents, 2024 & 2025
    • U.S.: C-Suite Perceptions of GenAI Tool Development and Release Pace, in % of Respondents, Oct - Nov 2024
    • U.S.: Top C-Suite Perceived Reasons for Slow GenAI Tool Development, in % of Respondents, Oct - Nov 2024
    • U.S.: Presence and Type of Benchmark Standards for GenAI Tools, in % of Respondents, Oct - Nov 2024
    • U.S.: C-Suite Assessment of Organizational Generative AI Maturity Levels, in % of Resp., Oct - Nov 2024
    • U.S.: GenAI Performance Satisfaction Among Org. with Met or Exceeded Expectations, in % of Resp., Dec 2024
    • U.S.: Recommendation and Successful Resolution of GenAI Tools, in % of Respondents, Oct - Nov 2024
    • U.S.: Top Reasons GenAI Fell Short of Expectations, in % of Resp. by Devel. and Prod. Stage, 2023 - 2024
    • U.S.: Using and Interacting With AI Daily by Generation, in % of Respondents, April 2025
    • U.S.: Using and Interacting With AI Daily by Employment Status, in % of Respondents, April 2025
    • U.S.: Using and Interacting With AI Daily by Income Group, in % of Respondents, April 2025
    • U.S.: Frequent Employee Use of AI at Work by Role, in % of Respondents, 2023 - 2025
    • U.S.: Extensive Generative AI Familiarity by Employee Age Group, in % of Respondents, Oct - Nov 2024
    • U.S.: Comfort With Generative AI at Work by Employee Age Group, in % of Respondents, Oct - Nov 2024
    • U.S.: Provision of Feedback on Generative AI Tools by Employee Age Group, in % of Respondents, Oct - Nov 2024
    • U.S.: Interest in Participation in GenAI Tool Design by Employee Age Group, in % of Respondents, Oct - Nov 2024
    • U.S.: Expectations on AI's Impact in Midsize Companies and Private Equity Firms, in % of Respondents, 2023 & 2024
    • 3.2.3. Canada
    • Canada: Use of Public vs. Private Generative AI Tools at Work, in % of Respondents, August 2024
    • Canada: Planned GenAI Deployment Methods and Implementation Teams, in % of Resp., Jan - Feb 2025

4. Functional Use Cases & Economic Impact

  • 4.1. E-Commerce Seller Operations
    • U.S.: AI, AR, Blockchain, Mobile Commerce, and Social Commerce in B2C E-Commerce, April 2024
    • U.S.: GenAI Usage by Use Case Among Agencies, in % of Respondents, June 2024
    • U.S.: Expected Areas of GenAI Impact Within Agencies, in % of Respondents, June 2024
    • U.S.: Share of Retail Decision Makers Who Feel Ready to Deploy Generative AI Technology in 2024, in %, November 2023
    • Canada: Top Generative AI Use Cases at Work, in % of Respondents, August 2024
  • 4.2. Payments & FinTech Use Cases
    • North America: Most Appealing AI Use Cases in Financial Services, in % of Respondents, 2024
    • U.S.: AI Use in Finance by Function, Leadership Role, and Governance Priorities, June 2025
    • U.S.: AI-Driven Fraud Prevention, Personalization, and Governance in Payments, August 2025
    • U.S.: AI-Driven Shopping Capabilities, Virtual Card Integration, and Adoption Barriers in Payments, Aug 2025
    • U.S.: Agentic AI Transaction Execution, Operational Applications, and Secure Payments, August 2025
    • U.S.: Top AI Use Cases Including Payment Automation and Fraud Detection, in % of Respondents, 2023 & 2024
    • U.S.: Leadership Roles Driving AI Adoption in Financial Processes, in % of Respondents, 2023 & 2024
    • U.S.: Share of CFOs Who Say AI Has Reduced Their Need for Lower-Skill Workers, in %, February 2024
    • U.S.: Share of CFOs Who Say AI Has Increased Their Need for More Analytically Skilled Workers, in %, February 2024
    • U.S.: Areas Where AI Has Increased vs. Decreased the Need for Higher- vs. Lower-Skilled Workers, by Task Complexity, in % of CFOs, February 2024

5. Risk Management, Trust & Security

  • 5.1. Fraud & Threat Trends
    • U.S.: Job Cut Announcements, Impact of AI and Economic Pressures, in Number of Cuts, 2024 & 2025
    • U.S.: Tech Sector Job Cuts, Impact of AI and Automation, in Number of Cuts, 2024 & 2025
  • 5.2. Trust & Readiness
    • U.S.: Employee Concerns About Generative AI Risks, in % of Respondents, Oct - Nov 2024
    • U.S.: Top Reported Benefits from Responsible AI Investment, in % of Respondents, April 2024
    • U.S.: Fully Implemented Responsible AI Capabilities for AI and GenAI, in % of Companies, April 2024
    • U.S.: Employees and C-Suite Usage of Generative AI for Over 30% of Daily Tasks, in % of Resp., Oct - Nov 2024
    • U.S.: Factors for Increased Daily GenAI Usage Among Employees, in % of Respondents, Oct - Nov 2024
    • U.S.: Perceived Level of Organizational Support for GenAI Capability Building, in % of Resp., Oct - Nov 2024
    • U.S.: Share of CFOs That Say Their Access to AI Technology Is Very or Extremely Important, in %, February 2024
    • U.S.: Share of CFOs That Say the AI Automation Thay Are Now Using to Support Their AP Cycle Is Not at All or Only Slightly Important, in %, February 2024
    • Canada: Employee-Reported Workplace Policies on GenAI Use, in % of Respondents, August 2024
    • Canada: Generative AI Training Readiness, in % of Respondents, Jan - Feb 2025
  • 5.3. Regulation & Compliance
    • U.S.: Primary Drivers of Responsible AI Investment, in % of Respondents, April 2024
    • U.S.: Top Reasons for Not Using AI, in % of Respondents, in % of Non-Adopting Respondents, April 2025
    • Canada: Top Reasons for Not Using Generative AI at Work, in % of Respondents, August 2024

6. Competitive Landscape & Strategic AI Movement

  • 6.1. Market Scale & Activity
    • U.S.: Average AI Budgets by Company Revenue Segment, in USD millions, Feb 2024 & Dec 2024
    • U.S.: Average AI Use Cases in Production, in Number of Use Cases, Oct 2023 & Dec 2024
    • U.S.: Positive ROI by AI Budget Allocation and Business Function, in % of Respondents, 2024 & 2025
    • U.S.: Positive ROI from AI by Business Area and Survey Wave, in % of Respondents, 2024 & 2025
    • U.S.: Presence and Maturity of GenAI Road Maps Among C-Suite Leaders, in % of Respondents, Oct - Nov 2024
    • U.S.: Revenue-Generating GenAI Use Case Identification by C-Suite Leaders, in % of Respondents, Oct - Nov 2024
    • U.S.: C-Suite Perception of Revenue Changes from Generative AI, in % of Respondents, Oct - Nov 2024
    • U.S.: C-Suite Perception of Cost Changes from Generative AI, in % of Respondents, Oct - Nov 2024
    • U.S.: C-Suite Expectations for GenAI Revenue Growth Over the Next 3 Years, in % of Resp., Oct - Nov 2024
    • U.S.: Share of Total Potential Economic Value from GenAI by Business Function, in % of Resp., Oct - Nov 2024
    • U.S.: Leading AI Assistants by Provider, in % of Respondents, April 2025
    • Canada: SMBs' AI Investment Plans and Priorities, in % of Respondents, January 2025
    • Canada: AI Adoption Rates, Competitive Positioning, and Sectoral Strengths, August 2025
  • 6.2. Strategic Moves by Key Players
    • U.S.: AI Capital Expenditures and Leading Technology Firms, September 2025
    • U.S.: AI Infrastructure Scaling and Investor Confidence, September 2025

7. AI Governance, Regulation & Innovation Enablers

  • 7.1. Regional Public & Private Sector AI Initiatives
    • North America: Top Internal Strategies to Track AI Regulatory Changes, in % of Resp., Feb - Mar 2025
    • North America: Top External Strategies to Track AI Regulatory Changes, in % of Resp., Feb - Mar 2025
  • 7.2. U.S. AI Innovation Frameworks
    • U.S.: AI Infrastructure Development, Diplomatic Engagement, and Value-Based Export Strategy, August 2025