顧客分析市場：コンポーネント、展開、エンドユーザー、地域別、2026～2032年

顧客分析市場の評価-2026～2032年

顧客分析市場の需要増加は、消費者をよりよく理解し、データによる意思決定を行いたいという企業の要望が主要因となっています。企業は、ソーシャルメディア、ウェブサイト、購買取引など、さまざまなソースから大量の顧客データを取得しています。このデータの意味を理解するために、企業は消費者分析ツールを使ってパターンや動向を特定しています。この調査は、顧客の行動、嗜好、購買行動に関する重要な情報を提供し、市場が2024年に104億6,000万米ドルの収益を突破し、2032年には約380億8,000万米ドルの評価に達することを可能にします。

顧客分析は、混雑した市場における競争優位性がますます重視されるようになっているため、需要が高まっています。今日のデジタル社会では、企業は熾烈な競争に直面しており、優位に立つには強力な製品やサービスを提供するだけでは不十分です。市場は2026～2032年にかけてCAGR 19.34%で成長するため、企業はデータを活用して競合との差別化を図る必要があります。

顧客分析市場定義/概要

カスタマー分析とは、顧客の行動、嗜好、動向をより深く理解するために、顧客に関するデータを収集、分析、解釈するプロセスです。基本的には、データを活用して消費者が誰で、何を求めていて、どのように企業と関わっているかを理解することです。この情報は、購買履歴、ウェブサイトでのやりとり、ソーシャルメディアでの活動、消費者からのフィードバックなど、さまざまな情報源から得ることができます。

消費者分析は、複数のインタラクションやタッチポイントからのデータを評価することで、企業が消費者行動を分析・予測できる強力なツールです。重要な用途のひとつに、マーケティング手法のパーソナライズがあります。企業は、購買履歴、閲覧習慣、ソーシャルメディアとのやり取りなどの顧客データに基づいて、パーソナライズされたマーケティングキャンペーンを構築することができます。

カスタマー分析のもう一つの重要な将来的用途は、予測モデリングと意思決定です。強化された機械学習アルゴリズムとビッグデータ技術により、企業は将来の顧客行動や動向をより正確に予測できるようになります。この予測力により、企業は顧客の欲求を予測し、在庫管理を最適化し、マーケティングキャンペーンを事前に洗練させることができるようになります。

カスタマーエクスペリエンスと満足度への関心の高まりは、カスタマー分析市場をどのように牽引するか？

PwCのレポートによると、消費者の73%が、顧客体験が購買の意思決定に不可欠な要素であると考えており、企業の成功における顧客満足の重要性が実証されています。さらに、フォレスターのデータによると、カスタマーエクスペリエンスに秀でた企業は、収益成長率で後発企業に約80％勝っています。このことは、企業が顧客の嗜好や行動をよりよく理解するために顧客分析ソリューションに投資する経済的動機を浮き彫りにしています。Gartnerによると、2025年までに企業の60％が、顧客体験と業務効率を改善するために、消費者分析を含むデジタルマーケティングに人工知能を活用するといいます。

ハーバードビジネスレビューの調査によると、データ主導のカスタマイズを活用した組織では、収益が15％増加し、マーケティング費用が30％削減されたといわれています。さらに、マッキンゼー・アンド・カンパニーの分析によると、消費者の行動データを活用している企業は、売上成長率で85％、粗利益で25％以上、同業他社を上回っています。これらの数字は、顧客分析ツールと戦術に投資することの具体的な利点を示しています。さらに、米国労働統計局は、2021～2032年にかけて市場調査アナリストの雇用が23%増加すると予測しており、これは全米平均よりも早く、消費者分析のスペシャリストに対する需要が高まっていることを示しています。

熟練労働者の不足は顧客分析市場の妨げになるか？

顧客分析市場は、データ主導の意思決定が各セグメントで広く採用されていることを背景に急拡大しています。しかし、この産業では熟練労働者の不足が市場拡大の障壁となる可能性があります。主要因の1つは、消費者分析の専門家、特にデータサイエンティストやアナリストの需要が高まっていることです。米国労働統計局によると、データサイエンティストの雇用は2021～2032年の間に36%拡大すると予想されており、これは全体の平均を大幅に上回るペースです。この急速な拡大は、市場の大きな需要を反映すると同時に、スキル不足の可能性も浮き彫りにしています。

もう一つの原因は、分析産業におけるスキル格差の拡大です。世界経済フォーラムによると、2025年までに、人間、コンピューター、アルゴリズム間の分業の変化に適した9,700万もの新しい職業が生まれる可能性があるといいます。しかし、同じ試算によると、2025年までに全従業員の50％が技術の採用により再教育を必要とするといいます。これは、顧客分析市場の期待に応えるためには、労働力の大幅なスキルアップと再教育が必要であることを示しています。

目次

第1章 世界の顧客分析市場の導入

• 市場概要
• 調査範囲
• 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの調査手法

• データマイニング
• バリデーション
• 一次資料
• データソース一覧

第4章 世界の顧客分析市場展望

• 概要
• 市場力学
  • 促進要因
  • 抑制要因
  • 機会
• ポーターのファイブフォースモデル
• バリューチェーン分析

第5章 顧客分析の世界市場、コンポーネント別

• 概要
• ソリューション
• サービス

第6章 顧客分析の世界市場：展開別

• 概要
• オンプレミス
• クラウド展開

第7章 顧客分析の世界市場：エンドユーザー別

• 概要
• BFSI
• 卸売・小売
• 通信・IT
• 公益事業
• ヘルスケア
• 旅行・ホスピタリティ
• その他

第8章 顧客分析の世界市場、地域別

• 概要
• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • その他の欧州
• アジア太平洋
  • 中国
  • 日本
  • インド
  • その他のアジア太平洋
• その他
  • ラテンアメリカ
  • 中東・アフリカ

第9章 世界の顧客分析市場の競合情勢

• 概要
• 各社の市場ランキング
• 主要開発戦略

第10章 企業プロファイル

• Google（米国）
• Microsoft（米国）
• SAP（ドイツ）
• Salesforce（米国）
• Mixpanel（米国）
• Manthan System（インド）
• Absolute Data（米国）
• Customer Analytics（米国）
• NICE System（イスラエル）
• Calibermind（米国）

第11章 主要開発

• 製品上市/開発
• 合併と買収
• 事業拡大
• パートナーシップと提携

第12章 付録

• 関連調査

Customer Analytics Market Valuation - 2026-2032

The increasing demand for the customer analytics market is mostly driven by organization's desire to better understand their consumers and make data-based decisions. Companies acquire large volumes of client data from a variety of sources including social media, websites, and purchase transactions. To make sense of this data, firms use consumer analytics tools to identify patterns and trends. This study provides vital information on customer behavior, preferences, and purchasing behaviors by enabling the market to surpass a revenue of USD 10.46 Billion valued in 2024 and reach a valuation of around USD 38.08 Billion by 2032.

Customer analytics are in high demand due to the increasing emphasis on competitive advantage in a congested marketplace. In today's digital world, businesses face fierce competition, and staying ahead involves more than just providing a strong product or service. Companies must use data to obtain insights into what differentiates them from competition by enabling the market to grow at a CAGR of 19.34% from 2026 to 2032.

Customer Analytics Market: Definition/ Overview

Customer analytics is the process of gathering, analyzing, and interpreting data on customers to better understand their behaviors, preferences, and trends. Essentially, it is about leveraging data to understand who your consumers are, what they want, and how they interact with your company. This information can be obtained from a variety of sources including purchase history, website interactions, social media activity, and consumer feedback.

Consumer analytics is a strong tool that allows businesses to analyze and forecast consumer behavior by evaluating data from multiple interactions and touchpoints. One important application is to personalize marketing methods. Companies can construct personalized marketing campaigns based on customer data such as purchasing history, browsing habits, and social media interactions.

Another important future application of customer analytics will be predictive modeling and decision-making. Businesses will be able to more accurately predict future customer behavior and trends thanks to enhanced machine learning algorithms and big data technologies. This predictive power will enable businesses to anticipate client wants, optimize inventory management, and refine marketing campaigns in advance.

How Does Growing Focus on Customer Experience and Satisfaction Drive the Customer Analytics Market?

According to a PwC report, 73% of consumers believe customer experience to be an essential element in their purchasing decisions demonstrating the importance of customer happiness in corporate success. Furthermore, Forrester data shows that organizations that excel at customer experience beat laggards by approximately 80% in terms of revenue growth. This highlights the financial motivation for firms to invest in customer analytics solutions to better understand their customer's preferences and behaviors. According to Gartner, by 2025, 60% of firms will utilize artificial intelligence for digital marketing including consumer analytics, to improve customer experience and operational efficiency.

A Harvard Business Review study indicated that organizations utilizing data-driven customization experienced a 15% boost in revenue and a 30% reduction in marketing spend. Furthermore, a McKinsey & Company analysis shows that firms that use consumer behavioral data outperform peers by 85% in sales growth and more than 25% in gross profit. These figures show the concrete advantages of investing in customer analytics tools and tactics. Furthermore, the U.S. Bureau of Labor Statistics predicts a 23% increase in market research analyst employment between 2021 and 2032 faster than the national average, showing an increased demand for consumer analytics specialists.

Will Lack of Skilled Laborers Hamper the Customer Analytics Market?

The customer analytics market is expanding rapidly driven by the widespread adoption of data-driven decision-making across sectors. However, a scarcity of skilled workers in this industry may provide a barrier to market expansion. One major factor is the increasing demand for consumer analytics specialists, particularly data scientists and analysts. According to the United States Bureau of Labor Statistics, employment of data scientists is expected to expand 36% between 2021 and 2032, substantially faster than the overall average. This quick expansion reflects significant market demand while also highlighting the possibility of a skills shortage.

Another cause is the growing skills gap in the analytics industry. According to the World Economic Forum, by 2025, 97 million new professions may arise that are better suited to the changing division of labor between humans, computers, and algorithms. However, the same estimate states that by 2025, 50% of all employees will require reskilling due to the adoption of technology. This shows that the workforce requires major upskilling and reskilling to satisfy the expectations of the customer analytics market.

Category-Wise Acumens

Will the Demand for Personalized Customer Service Drive the Component Segment?

The services sector has the biggest market share owing to the increase in need for personalized customer assistance and advanced analytics solutions across many industries. Services in this sense include advice, implementation, training, and ongoing support all of which are required for organizations to properly exploit customer data. As enterprises appreciate the importance of consumer insights in driving business success, they are turning to professional services to assist them in navigating and optimizing their analytics strategy. This includes personalized consulting services that provide expertise in establishing and administering customer analytics platforms as well as training programs that prepare employees to analyze and act on data insights.

The complexity of integrating and administering customer analytics solutions also contributes to the services segment's growth. As client data gets more copious and diversified, organizations demand specialist assistance to efficiently utilize it. Service providers provide important assistance in the implementation of advanced analytics technology ensuring that systems are correctly configured and aligned with corporate goals. Furthermore, the constant evolution of analytics tools demands continuing support and maintenance which service providers are well-equipped to supply. The growing emphasis on individualized client experiences combined with the demand for expert counsel and technical support ensures that the services sector will continue to grow.

Will the Scalability and Adaptability Drive the Deployment Segment?

Cloud deployment, especially via Software as a Service (SaaS) solutions is gaining pace. Cloud solutions are given by service providers who host software on their servers and make it available via the Internet. This approach has significant advantages that are driving its growing adoption among diverse companies. Scalability is a key feature of cloud deployment. Organizations may simply alter their resources to meet current demands without the need for costly physical infrastructure. This flexibility enables firms to manage shifting workloads and respond to changing needs while incurring minimal additional costs. Cloud-based analytics tools allow businesses to easily grow their operations and respond to market changes more efficiently.

Another significant advantage of cloud implementation is cost-effectiveness. Traditional on-premises systems can demand significant upfront investments in hardware, software, and upkeep. Cloud solutions, on the other hand, are subscription-based which means that enterprises only pay for the services they utilize. This pay-as-you-go model alleviates the financial burden associated with major capital investments and recurring maintenance costs.

Furthermore, cloud solutions are easy to adopt and administer. Organizations may use their analytics tools from any location with an internet connection enabling remote work and worldwide collaboration. The cloud environment eliminates the need for complex installs and IT maintenance that come with on-premises systems allowing organizations to focus on exploiting their data for strategic insights rather than managing infrastructure.

Country/Region-wise Acumens

How Adoption of Advanced Technological Solutions Drive the Market in the North American Region?

The North American customer analytics market is expanding rapidly owing to the widespread adoption of modern technical solutions. This trend is especially obvious in the United States and Canada where firms are increasingly using data-driven insights to improve customer experiences and streamline operations. One of the primary driving forces is the expanding use of artificial intelligence (AI) and machine learning (ML) in consumer analytics. According to research by the United States Bureau of Labor Statistics, employment in computer and information technology occupations is expected to expand 15% between 2021 and 2032, substantially faster than the overall average. This increase is due in part to the growing need for AI and ML expertise in customer analytics.

Another key driver is the increasing emphasis on real-time analytics. According to Harvard Business Review research, organizations that use real-time customer data are 2.5 times more likely to provide an excellent customer experience. This skill enables firms to respond quickly to consumer needs and market changes, ultimately increasing customer happiness and loyalty. Additionally, the growing emphasis on omnichannel customer experiences is driving demand for advanced analytics solutions. According to a report by the United States Census Bureau, e-commerce sales amounted to 15.4% of total retail sales in the second quarter of 2023 emphasizing the need to combine online and offline customer data for a thorough analysis.

Will Rapid Digital Transformation Drive the Market in the Asia Pacific Region?

The Asia Pacific region is undergoing a surge in digital transformation which is a major driver of the customer analytics market. This rapid shift is mostly driven by rising internet penetration and smartphone adoption rates throughout the area. According to the International Telecommunication Union (ITU), internet users in Asia and the Pacific increased from 39.6% of the population in 2015 to 54.9% in 2021. The mobile industry makes a significant contribution to the Asia Pacific economy with the GSMA projecting that it will create USD 770 Billion in economic value in 2021 accounting for 5% of GDP. This expansion of digital infrastructure creates an ideal environment for the development of customer analytics tools and services.

Another significant factor is the growing e-commerce sector in Asia Pacific. The United Nations Conference on Trade and Development (UNCTAD) estimated that Asia-Pacific would account for almost 60% of global e-commerce revenues in 2020. According to China's National Bureau of Statistics, the country's e-commerce business will be worth USD 2.1 Trillion by 2021. India is also experiencing tremendous expansion with the e-commerce market predicted to reach USD 120 Billion by 2025, according to a report by the India Brand Equity Foundation. This e-commerce surge needs modern customer analytics tools to better understand consumer behavior, personalize experiences, and improve marketing efforts. Furthermore, the growing emphasis on data-driven decision-making in enterprises is moving the industry ahead.

Competitive Landscape

The customer analytics market is a dynamic and competitive space, characterized by a diverse range of players vying for market share. These players are on the run for solidifying their presence through the adoption of strategic plans such as collaborations, mergers, acquisitions, and political support. The organizations are focusing on innovating their product line to serve the vast population in diverse regions.

Some of the prominent players operating in the customer analytics market include:

Dell, Inc.

Cognizant

Google LLC

Siemens

IBM Corporation

Microsoft

Hewlett Packard Enterprise Development LP

SAP SE

Oracle

Adobe

Latest Developments

In March 2022, Adobe launched new Customer Journey Analytics for its Experience Cloud. Adobe has released a new experimentation tool in experience analytics that enables organizations to test real-world situations and assess the results to better understand how minor changes might impact the entire consumer experience across their many products. Adobe Customer Data Platform (CDP) and Customer Journey Analytics have also been integrated to enhance Adobe's ability to identify customer subgroups.

In June 2022, Salesforce released new Customer 360 technologies combining marketing, commerce, and service data on a single platform, allowing businesses to connect, automate, and customize every contact while building trusted connections at scale.

Customer Analytics Market, By Category

• Component:
• Solutions
• Services
• Deployment:
• On-Premises Deployment
• Cloud Deployment
• End-User:
• (Banking, Financial Services and Insurance (BFSI)
• Wholesale & Retail
• Telecommunication and IT
• Utilities
• Healthcare
• Travel and Hospitality
• Others
• Region:
• North America
• Europe
• Asia-Pacific
• South America
• Middle East & Africa

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL CUSTOMER ANALYTICS MARKET

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL CUSTOMER ANALYTICS MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3 Porters Five Force Model
• 4.4 Value Chain Analysis

5 GLOBAL CUSTOMER ANALYTICS MARKET, BY COMPONENT

• 5.1 Overview
• 5.2 Solution
• 5.3 Service

6 GLOBAL CUSTOMER ANALYTICS MARKET, BY DEPLOYMENT

• 6.1 Overview
• 6.2 On-Premises Deployment
• 6.3 Cloud Deployment

7 GLOBAL CUSTOMER ANALYTICS MARKET, BY END-USER

• 7.1 Overview
• 7.2 BFSI
• 7.3 Wholesale and Retail
• 7.4 Telecommunication and IT
• 7.5 Utilities
• 7.6 Healthcare
• 7.7 Travel and Hospitality
• 7.8 Others

8 GLOBAL CUSTOMER ANALYTICS MARKET, BY GEOGRAPHY

• 8.1 Overview
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
  • 8.2.3 Mexico
• 8.3 Europe
  • 8.3.1 Germany
  • 8.3.2 U.K.
  • 8.3.3 France
  • 8.3.4 Rest of Europe
• 8.4 Asia Pacific
  • 8.4.1 China
  • 8.4.2 Japan
  • 8.4.3 India
  • 8.4.4 Rest of Asia Pacific
• 8.5 Rest of the World
  • 8.5.1 Latin America
  • 8.5.2 Middle East and Africa

9 GLOBAL CUSTOMER ANALYTICS MARKET COMPETITIVE LANDSCAPE

• 9.1 Overview
• 9.2 Company Market Ranking
• 9.3 Key Development Strategies

10 COMPANY PROFILES

• 10.1 Google (U.S.)
  • 10.1.1 Overview
  • 10.1.2 Financial Performance
  • 10.1.3 Product Outlook
  • 10.1.4 Key Developments
• 10.2 Microsoft (U.S.)
  • 10.2.1 Overview
  • 10.2.2 Financial Performance
  • 10.2.3 Product Outlook
  • 10.2.4 Key Developments
• 10.3 SAP (Germany)
  • 10.3.1 Overview
  • 10.3.2 Financial Performance
  • 10.3.3 Product Outlook
  • 10.3.4 Key Developments
• 10.4 Salesforce (U.S.)
  • 10.4.1 Overview
  • 10.4.2 Financial Performance
  • 10.4.3 Product Outlook
  • 10.4.4 Key Developments
• 10.5 Mixpanel (U.S.)
  • 10.5.1 Overview
  • 10.5.2 Financial Performance
  • 10.5.3 Product Outlook
  • 10.5.4 Key Developments
• 10.6 Manthan System ( India)
  • 10.6.1 Overview
  • 10.6.2 Financial Performance
  • 10.6.3 Product Outlook
  • 10.6.4 Key Development
• 10.7 Absolute Data (U.S.)
  • 10.7.1 Overview
  • 10.7.2 Financial Performance
  • 10.7.3 Product Outlook
  • 10.7.4 Key Developments
• 10.8 Customer Analytics (U.S.)
  • 10.8.1 Overview
  • 10.8.2 Financial Performance
  • 10.8.3 Product Outlook
  • 10.8.4 Key Developments
• 10.9 NICE System (Israel)
  • 10.9.1 Overview
  • 10.9.2 Financial Performance
  • 10.9.3 Product Outlook
  • 10.9.4 Key Development
• 10.10 Calibermind (U.S.)
  • 10.10.1 Overview
  • 10.10.2 Financial Performance
  • 10.10.3 Product Outlook
  • 10.10.4 Key Development

11 KEY DEVELOPMENTS

• 11.1 Product Launches/Developments
• 11.2 Mergers and Acquisitions
• 11.3 Business Expansions
• 11.4 Partnerships and Collaborations

12 Appendix

• 12.1 Related Research