Enterprise Search Market Size and Share
Market Overview
| Study Period | 2019 - 2030 |
| Market Size (2025) | USD 6.83 Billion |
| Market Size (2030) | USD 11.15 Billion |
| Growth Rate (2025 - 2030) | 10.30% CAGR |
| Fastest Growing Market | Asia Pacific |
| Largest Market | North America |
| Market Concentration | Medium |
Major Players
*Disclaimer: Major Players sorted in no particular order Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0. |
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Enterprise Search Market Analysis by Mordor Intelligence
The enterprise search market is valued at USD 6.83 billion in 2025 and is projected to advance at a 10.30% CAGR, reaching USD 11.15 billion by 2030. Rapid adoption of generative AI, retrieval-augmented generation (RAG) and vector embeddings is turning enterprise search from a productivity add-on into foundational data infrastructure. Cloud-native deployment now dominates new projects, conversational and NLP search engines are displacing legacy keyword systems, and large enterprises continue to invest heavily even as small and medium enterprises (SMEs) join the adoption wave. Headwinds around data privacy and legacy-system integration temper growth, yet sovereign-cloud mandates, mobile workforces and steadily falling AI inference costs sustain a robust long-term outlook for the enterprise search market.
Key Report Takeaways
- By component, solutions retained 62.30% of the enterprise search market share in 2024, while services are expanding at a 17.80% CAGR through 2030.
- By search type, keyword-based search held 41.60% revenue share in 2024; conversational and NLP search is growing fastest at 21.20% CAGR to 2030.
- By deployment mode, cloud platforms commanded 66.00% of the enterprise search market share in 2024 and are expected to grow at a 19.90% CAGR through 2030.
- By enterprise size, large enterprises accounted for 70.30% of the enterprise search market size in 2024, whereas SMEs are the fastest-growing group at 16.40% CAGR.
- By industry vertical, BFSI captured 18.50% of the enterprise search market size in 2024, while Healthcare and Life Sciences is advancing at a 19.60% CAGR through 2030.
- By geography, North America led with 37.50% revenue share in 2024; Asia-Pacific is forecast to expand at a 16.40% CAGR to 2030.
Global Enterprise Search Market Trends and Insights
Driver Impact Analyis
| Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Explosive growth in enterprise unstructured data | +2.8% | Global | Long term (≥ 4 years) |
| Rapid migration of search workloads to cloud/SaaS | +2.1% | North America and EU, Asia-Pacific core | Medium term (2-4 years) |
| Smartphone-led surge in mobile workforce search queries | +1.4% | Global, early gains in Asia-Pacific | Short term (≤ 2 years) |
| Demand for domain-tuned conversational AI interfaces | +2.3% | North America and EU | Medium term (2-4 years) |
| Rise of retrieval-augmented generation (RAG) for generative AI | +1.8% | Global | Short term (≤ 2 years) |
| Sovereign-cloud mandates driving hybrid/on-prem search | +1.2% | EU, Asia-Pacific core, spill-over to MEA | Long term (≥ 4 years) |
Source: Mordor Intelligence
Explosive Growth in Enterprise Unstructured Data
Organizations generate 2.5 quintillion bytes of data each day, and an estimated 80% is unstructured, spanning documents, email, audio, and video. AI-enabled indexing turns this content into searchable knowledge graphs, cutting search time that still consumes 20-30% of employee hours [1]Microsoft Corp., “Azure AI Search adds vector and hybrid search,” microsoft.com. Multimodal AI now extends discovery across text, voice, and images, allowing early adopters to monetize dormant data assets.
Rapid Migration of Search Workloads to Cloud/SaaS
Cloud economics shift enterprise search from cap-ex hardware into pay-as-you-go services. Amazon OpenSearch Service users report 65% lower operational overhead while gaining auto-scaling and built-in machine learning [2]Amazon Web Services Inc., “Build real-time generative AI search with Amazon OpenSearch,” aws.amazon.com. Embedded vector databases and analytics remove configuration complexity and accelerate global rollouts.
Demand for Domain-Tuned Conversational AI Interfaces
Conversational engines let employees ask natural-language questions and trigger multi-turn dialogues that mirror everyday speech. Google’s Agentspace layers role-based permissions onto these dialogues, returning personalized answers that span email, chat, and enterprise apps. Such agentic search reduces training time and boosts adoption.
Rise of Retrieval-Augmented Generation (RAG) for Gen-AI
RAG pipelines ground large language model outputs in enterprise data, raising answer accuracy in compliance use cases from 70% to 95%. Vector indexes retrieve the most relevant snippets in real time, solving hallucination risks and making generative answers trustworthy for regulated industries.
Restraint Impact Analysis
| Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Persistent data-security and privacy concerns | -1.8% | Global, heightened in EU | Medium term (2-4 years) |
| Integration complexity with legacy ECM and CRM stacks | -1.2% | North America and EU | Short term (≤ 2 years) |
| Escalating GPU/TPU cost for neural-search inference | -0.9% | Global | Short term (≤ 2 years) |
| Ethical/algorithmic-bias scrutiny from regulators | -0.7% | EU, North America | Long term (≥ 4 years) |
Source: Mordor Intelligence
Persistent Data-Security and Privacy Concerns
Centralizing sensitive documents for AI indexing enlarges the attack surface, and 47.1% of firms have already faced incidents exposing search infrastructure. Vendors respond with regional data-storage options, SOC 2 audits, and automatic deletion policies, yet enterprises weigh these safeguards against possible GDPR fines.
Integration Complexity with Legacy ECM and CRM Stacks
Many content management and CRM systems lack modern APIs, stretching deployment to 6-18 months and raising professional-service costs. OpenText’s USD 5.8 billion FY 2024 revenue underscores the ongoing need for middleware and bespoke connectors. Extended timelines cause opportunity costs that hamper adoption among resource-constrained businesses.
Segment Analysis
By Component: Services Accelerate as AI Complexity Demands Expertise
Services are growing at a 17.80% CAGR, even though software solutions still held 62.30% of the enterprise search market share in 2024. The surge stems from demand for RAG pipelines, custom model fine-tuning and governance frameworks that internal teams often lack.
Managed offerings take over vector-database scaling, prompt-library tuning and relevance-ranking optimization, freeing customers to focus on business outcomes. Engagements typically range from USD 0.5 million to USD 5 million and cover design, rollout and continuous improvement. The enterprise search market size advantage for service providers reflects that implementation skill, not just code, now drives ROI.
By Search Type: Conversational AI Disrupts Keyword Dominance
Keyword search still accounts for 41.60% of 2024 revenue, but conversational and NLP engines are expanding at 21.20% CAGR, redefining user expectations. Multilingual voice, image, and video search adds additional pull as firms unlock rich media archives.
Hybrid stacks now combine keyword, semantic, and vector retrieval in one pipeline, selecting the best method per query. In Japan, Sega Sammy cut error rates below 2% across 6,000 employees by pairing semantic embeddings with prompt engineering—evidence that conversational search is production-ready. Such outcomes accelerate the enterprise search market’s shift away from Boolean syntax.
By Deployment Mode: Cloud Supremacy Accelerates with AI Integration
Cloud platforms owned 66.00% of the enterprise search market share in 2024 and are rising at 19.90% CAGR as AI workloads favor elastic GPU clusters. Providers bundle vector indexes, transformers and real-time analytics, letting customers upgrade models without hardware refreshes.
Regulated entities still require on-prem data residency, so hybrid architectures are gaining ground. European banks, for example, keep indexes on local servers but call cloud APIs for semantic re-ranking, balancing compliance with innovation. Such models reinforce the enterprise search market size lead of cloud without abandoning legacy investments.
By Enterprise Size: SMEs Drive Growth Through Democratized AI Access
Large enterprises supplied 70.30% of 2024 revenue, yet SMEs are the fastest-growing cohort at 16.40% CAGR, due to pay-as-you-use pricing. Cloud suites deliver enterprise-grade relevance tuning without in-house machine-learning teams, bringing advanced search from the boardroom to the start-up.
OECD polling shows 57% of SMEs see AI’s upside, but only 26% use it today, suggesting considerable runway. Vendors respond with turnkey templates and vertical-specific taxonomies, so enterprise search market adoption spreads even where budgets are tight.
By Industry Vertical: Healthcare Accelerates While BFSI Maintains Leadership
BFSI commanded 18.50% of 2024 revenue as banks and insurers mine search logs for risk signals, fraud detection and compliance reporting. In contrast, Healthcare and Life Sciences is the growth pacesetter at 19.60% CAGR, where AI discovery shortens drug-development cycles and surfaces hidden patient insights.
Fine-tuned medical vocabularies and HIPAA-ready access controls make clinical deployments viable. Similar specialization appears in legal discovery, manufacturing quality control and energy asset management, confirming that domain mastery is the next battleground in the enterprise search market.
Geography Analysis
North America retained 37.50% of global revenue in 2024, leveraging deep cloud penetration, abundant AI talent and a strong venture capital pipeline. Venture rounds such as AlphaSense’s USD 650 million and Glean’s USD 150 million Series F illustrate an ecosystem willing to bankroll RAG and vector-search startups. United States-based enterprises also act as early adopters of conversational search, setting best-practice benchmarks copied worldwide.
Asia-Pacific is advancing at a 16.40% CAGR and is the primary volume driver for the next decade. China’s sovereign-AI push, Japan’s quality-focused deployments and India’s IT-services sector combine to pull forward adoption. Alibaba Cloud now runs enterprise search for thousands of customers, handling 500+ business cases on native vector databases [3]Alibaba Cloud, “Vector search on AnalyticDB powers 500+ business cases,” alibabacloud.com. South Korea, Singapore and Australia add momentum by mandating AI in public-sector digital services, ensuring that the enterprise search market maintains double-digit growth across the region.
Europe emphasizes GDPR compliance, spurring sales of hybrid architectures that keep indexes within national borders. Germany leads industrial use cases that integrate search into production lines, while the United Kingdom embeds semantic search into financial-regulation workflows. France’s Sinequa was recently acquired for EUR 85 million, signalling ongoing consolidation. Smaller EU economies trail on spending but are moving steadily as cloud costs fall and sovereign-cloud frameworks mature.
Competitive Landscape
Competition balances platform giants against focused specialists. Microsoft, Google, Amazon, and IBM weave search into broader AI clouds, relying on scale to price aggressively. Elastic, Coveo, and Algolia counter with proprietary relevance algorithms and vertical blueprints that reduce time-to-value for niche customers.
MandA remains the fastest path to capability gaps. HubSpot bought Dashworks for cross-app search, while OpenAI acquired Rockset for low-latency vector analytics—deals that illustrate how quickly emergent tech is absorbed. Specialists also raise sizeable rounds: Perplexity’s USD 1.04 billion valuation underscores investor belief in conversational search’s runway.
Differentiation now centers on vector-database throughput, semantic-ranking quality, and agentic-retrieval automation. Vendors that prove secure multi-model orchestration—text, image, video—capture premium pricing, yet feature gaps narrow rapidly as open-source frameworks mature. As a result, success increasingly hinges on domain consulting depth and an expanding catalog of pre-tuned industry ontologies.
Enterprise Search Industry Leaders
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Amazon Web Services, Inc.
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Microsoft Corporation
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IBM Corporation
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Google LLC (Alphabet Inc.)
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Elastic N.V.
- *Disclaimer: Major Players sorted in no particular order
Recent Industry Developments
- June 2025: Glean raised USD 150 million in Series F funding led by Wellington, lifting valuation to USD 7.2 billion.
- May 2025: Microsoft introduced NLWeb, an open protocol that embeds AI-driven search into any website.
- April 2025: HubSpot acquired Dashworks to bring business-wide search to go-to-market teams.
- December 2024: Cohere released Rerank 3.5, adding stronger multilingual and reasoning support for enterprise search.
Global Enterprise Search Market Report Scope
Enterprise search solutions are software platforms tailored for organizations to efficiently search, retrieve, and manage data from both internal repositories and external sources within their network. These solutions empower employees and teams to swiftly find pertinent information, irrespective of its storage location or format, be it structured or unstructured.
The study tracks the revenue accrued through the sale of the enterprise search by various players across the globe. The study also tracks the key market parameters, underlying growth influencers, and major vendors operating in the industry, which supports the market estimations and growth rates over the forecast period. The study further analyses the overall impact of COVID-19 aftereffects and other macroeconomic factors on the market. The report’s scope encompasses market sizing and forecasts for the various market segments.
The enterprise search market is segmented by component (solution, services), type (conversational search, multimedia search, multilingual search), enterprise size (small and medium sized enterprises, and large enterprises), deployment mode (on-premise, and cloud), industry vertical (BFSI, healthcare, government, retail and e-commerce, travel and hospitality, media and entertainment, others), and geography (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The market sizes and forecasts regarding value (USD) for all the above segments are provided.
| By Component | Solutions | Cognitive Search Platforms | ||
| Federated Search Engines | ||||
| Insight Engines | ||||
| Services | Professional Services | |||
| Managed Services | ||||
| By Search Type | Keyword-Based Search | |||
| Conversational / NLP Search | ||||
| Multimedia (Image/Video/Audio) Search | ||||
| Multilingual and Cross-lingual Search | ||||
| By Deployment Mode | Cloud | |||
| On-premise | ||||
| By Enterprise Size | Large Enterprises | |||
| Small and Medium-sized Enterprises (SMEs) | ||||
| By Industry Vertical | BFSI | |||
| Healthcare and Life Sciences | ||||
| Government and Public Sector | ||||
| Retail and E-commerce | ||||
| Media, Entertainment and Publishing | ||||
| Travel and Hospitality | ||||
| Manufacturing and Automotive | ||||
| Others (Energy, Education, Legal, etc.) | ||||
| By Geography | North America | United States | ||
| Canada | ||||
| Mexico | ||||
| South America | Brazil | |||
| Argentina | ||||
| Rest of South America | ||||
| Europe | Germany | |||
| United Kingdom | ||||
| France | ||||
| Italy | ||||
| Spain | ||||
| Russia | ||||
| Rest of Europe | ||||
| Asia-Pacific | China | |||
| Japan | ||||
| India | ||||
| South Korea | ||||
| Australia and New Zealand | ||||
| Rest of Asia-Pacific | ||||
| Middle East and Africa | Middle East | Saudi Arabia | ||
| United Arab Emirates | ||||
| Turkey | ||||
| Rest of Middle East | ||||
| Africa | South Africa | |||
| Nigeria | ||||
| Egypt | ||||
| Rest of Africa | ||||
| Solutions | Cognitive Search Platforms |
| Federated Search Engines | |
| Insight Engines | |
| Services | Professional Services |
| Managed Services |
| Keyword-Based Search |
| Conversational / NLP Search |
| Multimedia (Image/Video/Audio) Search |
| Multilingual and Cross-lingual Search |
| Cloud |
| On-premise |
| Large Enterprises |
| Small and Medium-sized Enterprises (SMEs) |
| BFSI |
| Healthcare and Life Sciences |
| Government and Public Sector |
| Retail and E-commerce |
| Media, Entertainment and Publishing |
| Travel and Hospitality |
| Manufacturing and Automotive |
| Others (Energy, Education, Legal, etc.) |
| North America | United States | ||
| Canada | |||
| Mexico | |||
| South America | Brazil | ||
| Argentina | |||
| Rest of South America | |||
| Europe | Germany | ||
| United Kingdom | |||
| France | |||
| Italy | |||
| Spain | |||
| Russia | |||
| Rest of Europe | |||
| Asia-Pacific | China | ||
| Japan | |||
| India | |||
| South Korea | |||
| Australia and New Zealand | |||
| Rest of Asia-Pacific | |||
| Middle East and Africa | Middle East | Saudi Arabia | |
| United Arab Emirates | |||
| Turkey | |||
| Rest of Middle East | |||
| Africa | South Africa | ||
| Nigeria | |||
| Egypt | |||
| Rest of Africa | |||
Key Questions Answered in the Report
What is the current value of the enterprise search market?
The market is valued at USD 6.83 billion in 2025.
How fast is the enterprise search market expected to grow?
It is forecast to expand at a 10.30% CAGR, reaching USD 11.15 billion by 2030.
Which deployment mode dominates enterprise search?
Cloud platforms hold 66% of 2024 revenue and are growing at 19.90% CAGR.
What segment is growing quickest by search technology?
Conversational and NLP search leads with a 21.20% CAGR through 2030.
Why are services becoming more important?
Complex tasks such as RAG pipelines and model fine-tuning drive demand for professional and managed services, expanding that segment at 17.80% CAGR.
Which region is expanding fastest?
Asia-Pacific is projected to grow at a 16.40% CAGR due to digital-transformation initiatives and sovereign-cloud mandates.
Page last updated on: June 17, 2025
