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表紙：ソーシャルメディア分析の世界市場-2023年～2030年
市場調査レポート
商品コード
1352161

ソーシャルメディア分析の世界市場-2023年～2030年

Global Social Media Analytics Market - 2023-2030
出版日: | 発行: DataM Intelligence | ページ情報: 英文 186 Pages | 納期: 約2営業日

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ソーシャルメディア分析の世界市場-2023年～2030年
出版日: 2023年09月27日
発行: DataM Intelligence
ページ情報: 英文 186 Pages
納期: 約2営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
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  • 概要
  • 目次
概要

概要

世界のソーシャルメディア分析市場は、2022年に75億米ドルに達し、2030年には453億米ドルに達し、予測期間2023-2030年のCAGRは22.4%で成長すると予測されています。

Facebook、Twitter、Instagram、LinkedInなどのソーシャルメディアサイトや、TikTokのような最近のサイトの拡大がビッグデータを生み出しています。このようなプラットフォームの拡大により、企業が顧客と交流する機会が増えることは確かですが、データを解釈するためには効果的な分析も必要となります。ピュー・リサーチ・センターの調査によると、ユーチューブは13歳から17歳の95％が利用する一般的なプラットフォームであり、10代の2/3がTikTokを利用しています。

ソーシャルメディアは、膨大な量のテキスト、写真、ビデオ、ユーザー生成コンテンツを生み出します。ビッグデータ技術とクラウドコンピューティングの発展により、この大量のデータの処理と分析はより実用的になり、AIや機械学習技術を含む高度な分析プラットフォームやツールの出現により、ソーシャルメディアデータからの洞察の収集がより簡単になっています。

北米は、世界のソーシャルメディア分析市場において、市場全体の2/5以上を占める成長地域のひとつであり、この地域はソーシャルメディアの普及率が高いです。この地域ではアクティブなソーシャルメディアユーザーの人口が増加しており、ユーザーの行動、動向、エンゲージメントを監視・分析するためのアナリティクスツールの需要が急増しています。企業は、顧客エンゲージメントとブランド・プロモーションの向上につながるソーシャルメディア・プラットフォームに投資しています。

ダイナミクス

分析ソリューションへの需要の増加

ソーシャルメディア・プラットフォームの普及により、膨大な量のデータが日々生成されるようになり、ソーシャル・メディア・プレゼンスの影響を理解しようとする人々や企業が増えているため、分析ツールのニーズが高まっています。ソーシャルメディア分析は、消費者行動、市場動向、競争慣行に関する洞察に満ちた情報を提供します。高度な分析ソリューションの必要性は、企業がこれらの洞察を利用して賢明な意思決定を行う能力によって煽られています。

例えば、クオルトリックスは2022年2月16日、XMプラットフォームの一部としてXM Discoverを発表しました。これは、企業が顧客や従業員のフィードバックからより深い洞察を得られるようにすることを目的としており、この新たな提供により、企業はサポートとの会話、チャット、ソーシャルメディアへの投稿、レビューサイトなど、さまざまなソースからのフィードバックを単一のプラットフォーム内で収集・分析できるようになります。クオルトリックスは、複数の言語による会話を分析することで、感情、意図、努力、共感、感情の強弱を把握し、企業が顧客や従業員の体験を向上させるのに役立ちます。

新興技術の採用

高度なアナリティクス技術は、テキスト、写真、動画、ユーザーインタラクションなど、ソーシャルメディアプラットフォーム上で作成される膨大な量のデータから洞察に満ちた意味を見出すために使用されます。新しいテクノロジーは、膨大な量のデータをより正確かつ効率的に処理・分析します。人工知能や機械学習などがその例です。ソーシャルメディア分析が競争優位を確立するためにいかに重要であるかを、企業はますます認識するようになっています。

例えば、2020年8月5日、著名な消費者インテリジェンス企業であるTalkwalkerは、俊敏な消費者・文化インサイトプラットフォームであるdiscover.aiを買収しました。この買収は、消費者インテリジェンスサービスを強化し、消費者行動や文化動向に関するより深い洞察をブランドに提供するというTalkwalkerの戦略の一環です。今回の買収により、Talkwalkerの消費者インテリジェンス・プラットフォームとしての地位は強化され、ブランドは貴重なインサイトと機会を発見できるようになります。

SaaSモデルの採用増加

SaaSモデルは、ハードウェアやソフトウェアへの先行投資が不要なため、企業にコスト効率の高いソリューションを提供します。SaaSプラットフォームは、企業のデータニーズの増大に対応できる拡張性を備えています。SaaSソリューションは一般的にクラウドベースであるため、ユーザーはインターネット接続があればどこからでもソーシャルメディア分析ツールにアクセスすることができ、このアクセスのしやすさは、遠隔地のチームや世界に展開する企業にとって特に価値があります。

例えば、2023年3月16日、デジマインドは2つの強力なAIエンジン、ChatGPTとAI Senseを統合したソーシャルリスニングソリューション、Digimind Socialを発表しました。Digimind AI Senseはピークを検出してユーザーにデータを提供し、ChatGPTはオンライン上の会話から洞察を分析して要約します。

プライバシー規制とノイズの多いデータ

ソーシャルメディアデータの分析は、GDPRやCCPAなどのプライバシー規制を遵守しなければなりません。適切な同意なしにユーザーデータを扱うと、法的な問題や風評被害につながる可能性があります。ソーシャルメディアデータには、不正確な情報やスパム、無関係な情報が含まれている可能性があります。ノイズをフィルタリングし、データの正確性を確保することは難しい課題です。プラットフォームによって、データアクセシビリティのレベルは異なります。

ソーシャルメディアデータのリアルタイム分析を行うには、リソースが集中し、堅牢なインフラとコンピューティングパワーが必要になる場合があります。過去のソーシャルメディアデータへのアクセスは、プラットフォームやデータ保持ポリシーによって制限されることがあり、長期的な動向分析の妨げになることがあります。テキストデータからセンチメントを正確に決定することは、皮肉、スラング、文脈のために難しい場合があります。自動化されたセンチメント分析は、偽陽性または偽陰性を生成する可能性があります。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • 分析ソリューションへの需要の増加
      • 新興技術の採用
      • SaaSモデルの採用増加
    • 抑制要因
      • プライバシー規制とノイズの多いデータ
    • 機会
    • 影響分析

第5章 業界分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析
  • ロシア・ウクライナ戦争の影響分析
  • DMIの見解

第6章 COVID-19分析

第7章 コンポーネント別

  • ソリューション
  • サービス

第8章 デプロイメント別

  • クラウド
  • オンプレミス

第9章 企業タイプ別

  • 中小企業
  • 大企業

第10章 機能別

  • センチメント分析
  • 競合分析
  • ハッシュタグ分析
  • その他

第11章 用途別

  • セールス・マーケティング管理
  • 顧客経験管理
  • リスク管理・不正検知
  • その他

第12章 エンドユーザー別

  • 銀行・金融サービス・保険 (BFSI)
  • メディア・エンターテインメント
  • 小売
  • IT・通信
  • 医療
  • その他

第13章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • ロシア
    • その他欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋
  • 中東・アフリカ

第14章 競合情勢

  • 競合シナリオ
  • 市況/シェア分析
  • M&A分析

第15章 企業プロファイル

  • IBM Corporation
    • 企業概要
    • 製品ポートフォリオと説明
    • 財務概要
    • 主な動向
  • Meltwater
  • Hootsuite Inc.
  • NetBase Quid, Inc.
  • Qualtrics
  • Talkwalker Inc.
  • Digimind
  • Sprout Social, Inc.
  • Oracle Corporation
  • Brandwatch

第16章 付録

目次
Product Code: ICT6925

Overview

Global Social Media Analytics Market reached US$ 7.5 billion in 2022 and is expected to reach US$ 45.3 billion by 2030, growing with a CAGR of 22.4% during the forecast period 2023-2030.

The expansion of social media sites, such as Facebook, Twitter, Instagram and LinkedIn, as well as more recent ones like TikTok, is producing big data. While this expansion of platforms certainly gives companies more chances to interact with customers, it also needs effective analytics in order to interpret the data. According to a survey conducted by Pew Research Center, YouTube is a common platform used by 95% of people between the ages of 13 to 17 and 2/3rd of teens use TikTok.

Social media produces a huge quantity of text, photographs, videos and user-generated content. Due to the development of big data technologies and cloud computing, processing and analyzing this quantity of data has become more practical and it is simpler to gather insights from social media data due to the emergence of advanced analytics platforms and tools including AI and machine learning technologies.

North America is among the growing regions in the global social media analytics market covering more than 2/5th of the total market and the region has a high rate of social media adoption. The region has a growing population of active social media users, which surges demand for analytics tools to monitor and analyze user behavior, trends and engagement. Businesses are investing in social media platform that leads to increased customer engagement and brand promotions.

Dynamics

Increasing Demand for Analytical Solutions

Daily generation of huge amounts of data is owing to the popularity of social media platforms, there has been an increasing need for analytical tools as people and businesses are seeking to understand the impact of their social media presence. Social media analytics provide insightful information about consumer behavior, market trends and competition practices. The need for advanced analytics solutions is fueled by the ability of businesses to use these insights to make wise decisions.

For instance, on 16 February 2022, Qualtrics introduced XM Discover as part of its XM Platform, aiming to help organizations gain deeper insights from customer and employee feedback and this new offering allows companies to collect and analyze feedback from various sources, including support conversations, chats, social media posts and review sites, all within a single platform. By analyzing conversations in multiple languages, Qualtrics can capture emotion, intent, effort, empathy and emotional intensity to help organizations enhance their customer and employee experiences.

Adoption of Emerging Technologies

Advanced analytics techniques are used to make insightful meaning from the enormous amount of data created on social media platforms, including text, photos, videos and user interactions. New technologies process and analyze vast amounts of data more correctly and efficiently. Examples include artificial intelligence and machine learning. Businesses are realizing more and more how crucial social media analytics are for establishing a competitive edge.

For instance, on 5 August 2020, Talkwalker, a prominent consumer intelligence company, has acquired discover.ai, an agile consumer and cultural insight platform and this acquisition is a part of Talkwalker's strategy to enhance its consumer intelligence services and provide brands with deeper insights into consumer behavior and cultural trends. The acquisition will strengthen Talkwalker's position as a leading consumer intelligence platform, allowing brands to uncover valuable insights and opportunities.

Rising Adoption of SaaS Model

SaaS models provide cost-effective solutions for businesses as they eliminate the need for upfront capital investments in hardware and software. SaaS platforms offer scalability for accommodating the growing data needs of businesses. SaaS solutions are typically cloud-based allowing users to access social media analytics tools from anywhere with an internet connection and this accessibility is especially valuable for remote teams and businesses with a global presence.

For instance, on 16 March 2023, Digimind has introduced Digimind Social, a Social Listening Solution that integrates two powerful AI engines, ChatGPT and AI Sense and this integration enables users to instantly analyze any topic and gain a comprehensive understanding of their online presence. Digimind AI Sense detects peaks and provides users with data, while ChatGPT analyzes and summarizes insights from online conversations.

Privacy Regulation and Noisy Data

Analyzing social media data must adhere to privacy regulations, such as GDPR and CCPA. Handling user data without proper consent can lead to legal issues and reputational damage. Social media data may contain inaccuracies, spam or irrelevant information. Filtering out noise and ensuring data accuracy can be challenging. Different platforms offer different levels of data accessibility.

Conducting real-time analysis of social media data can be resource-intensive and may require robust infrastructure and computing power. Access to historical social media data can be limited, depending on the platform and data retention policies and this can hinder long-term trend analysis. Determining sentiment accurately from text data can be challenging due to sarcasm, slang and context. Automated sentiment analysis may produce false positives or negatives.

Segment Analysis

The global social media analytics market is segmented based on component, deployment, enterprise type, function, application, end-user and region.

Adoption of Software Boosts the Market

In order to connect with consumers, businesses are investing in social media markets. Companies are looking more ways to measure the impact of their online presence as they become more aware of social media's importance. Social media generates huge amounts of data daily. Businesses need sophisticated tools to collect, process and analyze this data effectively to gain insights into customer behavior, sentiment and trends.

For instance, on 6 September 2023, Relo Metrics, an AI-powered sponsorship analytics platform, launched datasets for the 2022-2023 NFL Season on Snowflake Marketplace and this data provides information on the value of brand exposure generated from NFL Sponsorships across various channels, including broadcast, streaming, social media and activations. The data allows brands, agencies, financial firms and rights holders to evaluate sponsor visibility during games and make data-driven decisions regarding partnerships.

Geographical Penetration

Rapid Digital Transition Boosts the Growth of the Market

Asia-Pacific is among the growing regions in the global social media analytics market covering more than 1/3rd of the market and with more than half of the population are having access to the internet and the region is undergoing a rapid digital transition which has resulted in an increase in social media users, producing an enormous amount of data for investigation. The large volume of users fueled the demand for social media analytics that understand consumers' preferences.

For instance, on 19 October 2021, AnyMind Group launched a social media analytics tool on the AnyManager platform that addresses the growing need for web and app publishers to effectively benchmark social media data alongside site and app data. The tool offers insights into areas such as follower growth, reach, post engagement, audience demographics, sentiment analysis, optimal posting times and top-performing posts, initially for Instagram with plans to expand to other social media platforms.

Competitive Landscape

The major global players in the market include: IBM Corporation, Meltwater, Hootsuite Inc., NetBase Quid, Inc., Qualtrics, Talkwalker Inc., Digimind, Sprout Social, Inc., Oracle Corporation and Brandwatch.

COVID-19 Impact Analysis

With lockdowns and restrictions in place, people turned to social media platforms for information, connection and entertainment which led to a surge in online activity, with more posts, comments and interactions. Social media analytics tools had to adapt to handle this increased volume of data. The pandemic reshaped the topics of online conversations. Social media analytics tools are needed to quickly adapt to track and analyze discussions related to COVID-19, including public sentiment, misinformation and emerging trends.

During a rapidly evolving crisis like COVID-19, businesses and governments needed real-time insights from social media to make informed decisions. Social media analytics tools had to improve their real-time monitoring capabilities. Understanding public sentiment became crucial during the pandemic. Social media analytics tools integrated sentiment analysis to track how people were feeling and reacting to the situation, helping organizations gauge public opinion and sentiment shifts.

The pandemic saw a proliferation of misinformation and fake news on social media platforms. Social media analytics tools played a vital role in identifying and flagging misleading content, aiding in efforts to curb the spread of false information. Many businesses adjusted their marketing strategies in response to the pandemic. Social media analytics helped companies monitor the effectiveness of these changes and adapt to shifting consumer behaviors.

AI Impact

AI algorithms process a large amount of the data which is being generated from social media in real time. In which they can analyze videos, text and images that were generated from multiple resources. Also enables businesses to gain insights from that large volume of the data. AI also has various algorithms and tools that analyze the sentiments of the post and comments on social media platforms.

AI-driven chatbots can provide instant responses to customer inquiries on social media platforms. They can handle routine customer service tasks, freeing up human agents for more complex issues. Social media platforms use AI to personalize content recommendations for users. AI can identify potential influencers based on their social media activity and engagement.

For instance, on 7 September 2023, ActiveFence, a leading technology solution for Trust and Safety intelligence, management and content moderation, successfully acquired Spectrum Labs, a pioneer in text-based Contextual AI Content Moderation and this strategic acquisition enhances ActiveFence's Trust and Safety solutions, bolstering its commitment to protecting billions of users worldwide from online threats. The acquisition of Spectrum Labs, ActiveFence strengthens its end-to-end online safety capabilities.

By combining Spectrum Labs' advanced Contextual AI with ActiveFence's Trust and Safety Operating System and content detection AI, the company gains a unique ability to swiftly and accurately identify and mitigate online risks on an unprecedented scale.

Russia- Ukraine War Impact

The conflict has led to an increase in the amount of time spent online researching war. Social media analytics software must handle more data as more users use social media platforms to post updates, news and opinions. Social media analytics tools are being utilized to track the conflict's geopolitical trends and attitudes. These techniques are being used by researchers, journalists and government organizations to learn more about popular attitudes, propaganda and disinformation.

The war has seen the spread of disinformation and propaganda on social media platforms. Social media analytics tools are employed to detect and track false narratives, fake news and coordinated disinformation campaigns. Understanding public sentiment regarding the war is crucial. Social media analytics tools incorporate sentiment analysis to gauge how people feel about the conflict and related developments.

By Component

  • Solutions
  • Services

By Deployment

  • Cloud
  • On-Premise

By Enterprise Type

  • Small and Medium-sized Enterprise
  • Large Enterprise

By Function

  • Sentiment Analysis
  • Competitive Analysis
  • Hashtag Analysis
  • Others

By Application

  • Sales & Marketing Management
  • Customer Experience Management
  • Risk Management & Fraud Detection
  • Others

By End-User

  • BFSI
  • Media & Entertainment
  • Retail
  • IT & Telecom
  • Healthcare
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Russia
    • Rest of Europe
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa

Key Developments

  • In July 2023, Intelligo, a provider of AI-powered background checks and risk intelligence for financial services, launched its Social Media Analysis feature and this feature offers in-depth analysis of adverse activity on a person's public social media profiles, providing a comprehensive overview of risk-related content.
  • In December 2022, Salesforce partnered with Sprout Social to offer an enhanced social media management solution to its customers, this partnership allows Salesforce customers to manage their complete social media presence and social customer care operations through Sprout's social suite. The collaboration aims to empower companies to gain a comprehensive 360° view of their customers and deliver better results by integrating Salesforce's capabilities with Sprout's industry-leading social media management platform.
  • In January 2022, NetBase Quid, in partnership with Twitter, released a report titled "Getting up close and personal," which delves into global Twitter conversations surrounding personal care. NetBase Quid suite of social media analytics tools and it creates a report on the CPG industry.

Why Purchase the Report?

  • To visualize the global social media analytics market segmentation based on component, deployment, enterprise type, function, application, end-user and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of social media analytics market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as excel consisting of key products of all the major players.

The global social media analytics market report would provide approximately 85 tables, 90 figures and 186 Pages.

Target Audience 2023

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Component
  • 3.2. Snippet by Deployment
  • 3.3. Snippet by Enterprise Type
  • 3.4. Snippet by Function
  • 3.5. Snippet by Application
  • 3.6. Snippet by End-User
  • 3.7. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Increasing Demand for Analytical Solutions
      • 4.1.1.2. Adoption of Emerging Technologies
      • 4.1.1.3. Rising Adoption of SAAS Model
    • 4.1.2. Restraints
      • 4.1.2.1. Privacy Regulation and Noisy Data
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis
  • 5.5. Russia-Ukraine War Impact Analysis
  • 5.6. DMI Opinion

6. COVID-19 Analysis

  • 6.1. Analysis of COVID-19
    • 6.1.1. Scenario Before COVID
    • 6.1.2. Scenario During COVID
    • 6.1.3. Scenario Post COVID
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. By Component

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 7.1.2. Market Attractiveness Index, By Component
  • 7.2. Solutions*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Services

8. By Deployment

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 8.1.2. Market Attractiveness Index, By Deployment
  • 8.2. Cloud*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. On-Premise

9. By Enterprise Type

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Type
    • 9.1.2. Market Attractiveness Index, By Enterprise Type
  • 9.2. Small and Medium-sized Enterprise*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Large Enterprise

10. By Function

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
    • 10.1.2. Market Attractiveness Index, By Function
  • 10.2. Sentiment Analysis*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Competitive Analysis
  • 10.4. Hashtag Analysis
  • 10.5. Others

11. By Application

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.1.2. Market Attractiveness Index, By Application
  • 11.2. Sales & Marketing Management*
    • 11.2.1. Introduction
    • 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 11.3. Customer Experience Management
  • 11.4. Risk Management & Fraud Detection
  • 11.5. Others

12. By End-User

  • 12.1. Introduction
    • 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.1.2. Market Attractiveness Index, By End-User
  • 12.2. BFSI*
    • 12.2.1. Introduction
    • 12.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 12.3. Media & Entertainment
  • 12.4. Retail
  • 12.5. IT & Telecom
  • 12.6. Healthcare
  • 12.7. Others

13. By Region

  • 13.1. Introduction
    • 13.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 13.1.2. Market Attractiveness Index, By Region
  • 13.2. North America
    • 13.2.1. Introduction
    • 13.2.2. Key Region-Specific Dynamics
    • 13.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 13.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 13.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Type
    • 13.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
    • 13.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 13.2.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.2.9.1. U.S.
      • 13.2.9.2. Canada
      • 13.2.9.3. Mexico
  • 13.3. Europe
    • 13.3.1. Introduction
    • 13.3.2. Key Region-Specific Dynamics
    • 13.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 13.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 13.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Type
    • 13.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
    • 13.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 13.3.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.3.9.1. Germany
      • 13.3.9.2. UK
      • 13.3.9.3. France
      • 13.3.9.4. Italy
      • 13.3.9.5. Russia
      • 13.3.9.6. Rest of Europe
  • 13.4. South America
    • 13.4.1. Introduction
    • 13.4.2. Key Region-Specific Dynamics
    • 13.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 13.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 13.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Type
    • 13.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
    • 13.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 13.4.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.4.9.1. Brazil
      • 13.4.9.2. Argentina
      • 13.4.9.3. Rest of South America
  • 13.5. Asia-Pacific
    • 13.5.1. Introduction
    • 13.5.2. Key Region-Specific Dynamics
    • 13.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 13.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 13.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Type
    • 13.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
    • 13.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 13.5.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.5.9.1. China
      • 13.5.9.2. India
      • 13.5.9.3. Japan
      • 13.5.9.4. Australia
      • 13.5.9.5. Rest of Asia-Pacific
  • 13.6. Middle East and Africa
    • 13.6.1. Introduction
    • 13.6.2. Key Region-Specific Dynamics
    • 13.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 13.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 13.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Type
    • 13.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
    • 13.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.6.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

14. Competitive Landscape

  • 14.1. Competitive Scenario
  • 14.2. Market Positioning/Share Analysis
  • 14.3. Mergers and Acquisitions Analysis

15. Company Profiles

  • 15.1. IBM Corporation*
    • 15.1.1. Company Overview
    • 15.1.2. Product Portfolio and Description
    • 15.1.3. Financial Overview
    • 15.1.4. Key Developments
  • 15.2. Meltwater
  • 15.3. Hootsuite Inc.
  • 15.4. NetBase Quid, Inc.
  • 15.5. Qualtrics
  • 15.6. Talkwalker Inc.
  • 15.7. Digimind
  • 15.8. Sprout Social, Inc.
  • 15.9. Oracle Corporation
  • 15.10. Brandwatch

LIST NOT EXHAUSTIVE

16. Appendix

  • 16.1. About Us and Services
  • 16.2. Contact Us