머신 고객 플랫폼 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the machine customer platform market size was valued at USD 0.42 billion in 2025 and estimated to grow from USD 0.51 billion in 2026 to reach USD 1.63 billion by 2031, at a CAGR of 26.16% during the forecast period (2026-2031).

This report is Segmented by Platform (Machine Customer Commerce Platforms, and More), Deployment Model (Cloud, Hybrid, and On-Premises), Enterprise Size (Large Enterprises, and Small and Mid-Sized Enterprises), Application, (IT and Telecommunication, BFSI, Automotive and Transportation, Healthcare and Life Sciences, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Machine Customer Platform Market Trends and Insights

Rising Adoption of AI-Mediated Buying and Reordering

AI-assisted buying is moving from product discovery into product selection, order setup, and repeat purchasing. Shopify reported that AI-driven orders on its platform increased 15-fold during 2025, while AI catalog surfaces converted at twice the rate of recommendations based on scraped data. These results support the need for a Machine Customer Platform Market to manage transactions after an agent identifies a suitable product. They also show why the Machine Customer Platform Market needs dependable product records and clear authority settings. Connected devices can identify depletion or maintenance needs and initiate approved replenishment workflows. This enables an ongoing commercial relationship in which an agent acts within the limits set by its user or organization.

Expansion of Machine-Readable Product and Service Data

Machine-readable catalog data is becoming a practical requirement for automated commerce. Mirakl stated in April 2026 that fewer than 1% of product pages were ready for large language models to read, compare, and use in transactions. Many existing catalogs were built for keyword search and visual browsing rather than for exact product and commercial terms. The OpenAI product feed specification requires current pricing, inventory, and return policy fields. Catalog management is becoming a commercial operations function rather than a promotional task. Merchants with complete product records are better positioned to receive agent-mediated demand.

Identity, Consent, and Liability Gaps for Nonhuman Buyers

Commercial rules generally assume that a person makes or accepts a purchase. This creates uncertainty when an agent selects an item, approves a substitution, or submits payment within a pre-set authority. CERRE found that European consumer law does not provide a clear liability structure for agent-initiated failures. The unresolved issues include consent, delegated authority, and responsibility for an incorrect result. Visa's Trusted Agent Protocol and Experian Agent Trust seek to connect an authorized agent with a verified user or organization. Legal treatment of nonhuman buyers will remain a constraint on fully autonomous purchasing.

Other drivers and restraints analyzed in the detailed report include:

1. Standardization of Agentic Commerce Protocols
2. Enterprise Demand for Autonomous B2B Transaction Workflows
3. Incomplete Catalog, Pricing, and Policy Data for Agents

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Machine Customer Commerce Platforms accounted for 34.82% of the Machine Customer Platform Market share in 2025. This segment covers product discovery, cart assembly, checkout, and order management. Enterprises commonly begin here because these functions have a direct connection to revenue and purchasing activity. The segment also supports a phased deployment, allowing firms to introduce commercial automation before adding multi-agent processes. Shopify's commerce capabilities show how catalog access and transaction flows can be exposed to AI channels.

Agent Identity and Trust Platforms are projected to grow at a 27.34% CAGR from 2026 to 2031. They determine whether an AI agent has authority to act on behalf of a named person or business. This need becomes more pressing when agents move from recommendations to payment, contract, and procurement actions. Experian introduced Agent Trust in April 2026, while Visa advanced Trusted Agent Protocol across European banking networks in July 2026. Orchestration, analytics, and governance platforms then support multi-step work, monitoring, policy enforcement, and documentation.

Cloud deployment held 68.14% of the Machine Customer Platform Market share in 2025. Cloud services support rapid model updates, elastic computing capacity, and easier protocol integration. These features are useful during early experiments when teams need to adjust workflows quickly. The model can lower the operational burden for firms that do not want to manage a full technical stack. It remains the leading choice where data controls permit external processing.

Hybrid deployment is projected to grow at a 26.91% CAGR from 2026 to 2031. It uses cloud-managed agent interfaces while retaining sensitive pricing, compliance, or customer records within local systems. The structure responds to the concern that the full transaction context could pass through third-party AI layers. On-premises deployment remains relevant where health data, sovereignty, or national security controls limit public cloud use. Salesforce described Agentforce Commerce as a portable layer that works with merchant-owned data infrastructure.

Complete Report Scope:

• By Platform
  • Machine Customer Commerce Platforms
  • Agent Orchestration Platforms
  • Agent Identity and Trust Platforms
  • Analytics and Governance Platforms
• By Deployment Model
  • Cloud
  • Hybrid
  • On-Premises
• By Enterprise Size
  • Large Enterprises
  • Small and Mid-sized Enterprises
• By Application
  • IT and Telecommunication
  • BFSI
  • Automotive and Transportation
  • Healthcare and Life Sciences
  • Energy and Utilities
  • Industrial Manufacturing
  • Travel and Hospitality
  • Other End Users
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Russia
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

North America held 32.59% of the Machine Customer Platform Market share in 2025. The United States combines a substantial vendor base with early enterprise users of agent-based commercial systems. U.S.-based companies have played a central role in protocol development for commerce, payments, and agent verification. California's AB 316 took effect on January 1, 2026, increasing focus on responsibility for AI-initiated commercial actions. Shopify's 15-fold increase in AI-driven orders during 2025 also showed active demand on consumer-facing commerce surfaces.

Asia-Pacific is projected to grow at a 27.28% CAGR from 2026 to 2031. The region combines China's digital commerce infrastructure, India's demand for digital services, and Southeast Asia's mobile-first payment ecosystems. Meituan launched the Xiaomei AI agent in late 2025 to interpret user intent and complete transactions with minimal screen interaction. Regional growth will depend on trusted payment methods and clear rules for agent authority.

Europe is shaped by regulatory requirements that increase the need for governance tools. The EU AI Act's Article 9 documentation requirements for high-risk systems have an August 2026 deadline. CERRE has noted unresolved consumer protection questions regarding agent-initiated failures. South America is at an earlier stage, while the Middle East and Africa are building momentum through AI procurement activity in healthcare and public services. Adoption will vary with payment maturity, regulation, and structured supplier data.

1. commercetools GmbH
2. VTEX
3. Shopify Inc.
4. BigCommerce Holdings, Inc.
5. Elastic Path Software Inc.
6. Spryker Systems GmbH
7. Salesforce, Inc.
8. Kibo Software, Inc.
9. Intershop Communications AG
10. Sana Commerce B.V.
11. Shopware AG
12. Virto Commerce, Inc.
13. Oro, Inc.
14. Mirakl SAS
15. SCAYLE GmbH
16. Commerce Layer, Inc.
17. Fabric, Inc.
18. Constructor.io, Inc.
19. Algolia, Inc.
20. Bloomreach, Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Rising Adoption of AI-Mediated Buying and Reordering
  • 4.2.2 Expansion of Machine-Readable Product and Service Data
  • 4.2.3 Standardization of Agentic Commerce Protocols
  • 4.2.4 Enterprise Demand for Autonomous B2B Transaction Workflows
  • 4.2.5 Rising Connected-Device and IoT Transaction Triggers
  • 4.2.6 Decision-Grade Agentic AI and Lower Inference Costs
• 4.3 Market Restraints
  • 4.3.1 Identity, Consent, and Liability Gaps for Nonhuman Buyers
  • 4.3.2 Incomplete Catalog, Pricing, and Policy Data for Agents
  • 4.3.3 Merchant Disintermediation and First-Party Data Leakage Risk
  • 4.3.4 Error, Fraud, and Irreversible Purchase Risk
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value-Chain Analysis
• 4.6 Technology Outlook
• 4.7 Regulatory Landscape
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Threat of New Entrants
  • 4.8.2 Bargaining Power of Suppliers
  • 4.8.3 Bargaining Power of Buyers
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Platform
  • 5.1.1 Machine Customer Commerce Platforms
  • 5.1.2 Agent Orchestration Platforms
  • 5.1.3 Agent Identity and Trust Platforms
  • 5.1.4 Analytics and Governance Platforms
• 5.2 By Deployment Model
  • 5.2.1 Cloud
  • 5.2.2 Hybrid
  • 5.2.3 On-Premises
• 5.3 By Enterprise Size
  • 5.3.1 Large Enterprises
  • 5.3.2 Small and Mid-sized Enterprises
• 5.4 By Application
  • 5.4.1 IT and Telecommunication
  • 5.4.2 BFSI
  • 5.4.3 Automotive and Transportation
  • 5.4.4 Healthcare and Life Sciences
  • 5.4.5 Energy and Utilities
  • 5.4.6 Industrial Manufacturing
  • 5.4.7 Travel and Hospitality
  • 5.4.8 Other End Users
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 United Kingdom
    • 5.5.3.3 France
    • 5.5.3.4 Russia
    • 5.5.3.5 Spain
    • 5.5.3.6 Rest of Europe
  • 5.5.4 Asia-Pacific
    • 5.5.4.1 China
    • 5.5.4.2 Japan
    • 5.5.4.3 India
    • 5.5.4.4 South Korea
    • 5.5.4.5 Southeast Asia
    • 5.5.4.6 Rest of Asia-Pacific
  • 5.5.5 Middle East and Africa
    • 5.5.5.1 Middle East
      • 5.5.5.1.1 Saudi Arabia
      • 5.5.5.1.2 United Arab Emirates
      • 5.5.5.1.3 Rest of Middle East
    • 5.5.5.2 Africa
      • 5.5.5.2.1 South Africa
      • 5.5.5.2.2 Nigeria
      • 5.5.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 commercetools GmbH
  • 6.4.2 VTEX
  • 6.4.3 Shopify Inc.
  • 6.4.4 BigCommerce Holdings, Inc.
  • 6.4.5 Elastic Path Software Inc.
  • 6.4.6 Spryker Systems GmbH
  • 6.4.7 Salesforce, Inc.
  • 6.4.8 Kibo Software, Inc.
  • 6.4.9 Intershop Communications AG
  • 6.4.10 Sana Commerce B.V.
  • 6.4.11 Shopware AG
  • 6.4.12 Virto Commerce, Inc.
  • 6.4.13 Oro, Inc.
  • 6.4.14 Mirakl SAS
  • 6.4.15 SCAYLE GmbH
  • 6.4.16 Commerce Layer, Inc.
  • 6.4.17 Fabric, Inc.
  • 6.4.18 Constructor.io, Inc.
  • 6.4.19 Algolia, Inc.
  • 6.4.20 Bloomreach, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment